From 40b59c5d5363b1c72fe228831f7b4c6cbc245e31 Mon Sep 17 00:00:00 2001
From: "release-please[bot]"
 <55107282+release-please[bot]@users.noreply.github.com>
Date: Thu, 14 Jan 2021 09:10:02 +0000
Subject: [PATCH 01/36] chore: release 0.2.1-SNAPSHOT (#135)

:robot: I have created a release \*beep\* \*boop\*
---
### Updating meta-information for bleeding-edge SNAPSHOT release.
---


This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please).
---
 google-cloud-aiplatform-bom/pom.xml           | 8 ++++----
 google-cloud-aiplatform/pom.xml               | 4 ++--
 grpc-google-cloud-aiplatform-v1beta1/pom.xml  | 4 ++--
 pom.xml                                       | 8 ++++----
 proto-google-cloud-aiplatform-v1beta1/pom.xml | 4 ++--
 samples/snapshot/pom.xml                      | 2 +-
 versions.txt                                  | 6 +++---
 7 files changed, 18 insertions(+), 18 deletions(-)

diff --git a/google-cloud-aiplatform-bom/pom.xml b/google-cloud-aiplatform-bom/pom.xml
index 02bb03006..f65cc3263 100644
--- a/google-cloud-aiplatform-bom/pom.xml
+++ b/google-cloud-aiplatform-bom/pom.xml
@@ -3,7 +3,7 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-aiplatform-bom</artifactId>
-  <version>0.2.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   <packaging>pom</packaging>
   <parent>
     <groupId>com.google.cloud</groupId>
@@ -68,17 +68,17 @@
       <dependency>
         <groupId>com.google.cloud</groupId>
         <artifactId>google-cloud-aiplatform</artifactId>
-        <version>0.2.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
-        <version>0.2.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
-        <version>0.2.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
     </dependencies>
   </dependencyManagement>
diff --git a/google-cloud-aiplatform/pom.xml b/google-cloud-aiplatform/pom.xml
index f996b65ab..76a490194 100644
--- a/google-cloud-aiplatform/pom.xml
+++ b/google-cloud-aiplatform/pom.xml
@@ -3,7 +3,7 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-aiplatform</artifactId>
-  <version>0.2.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   <packaging>jar</packaging>
   <name>Google AI Platform</name>
   <url>https://github.com/googleapis/java-aiplatform</url>
@@ -11,7 +11,7 @@
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform-parent</artifactId>
-    <version>0.2.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   </parent>
   <properties>
     <site.installationModule>google-cloud-aiplatform</site.installationModule>
diff --git a/grpc-google-cloud-aiplatform-v1beta1/pom.xml b/grpc-google-cloud-aiplatform-v1beta1/pom.xml
index 797caade2..338b46a65 100644
--- a/grpc-google-cloud-aiplatform-v1beta1/pom.xml
+++ b/grpc-google-cloud-aiplatform-v1beta1/pom.xml
@@ -4,13 +4,13 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.api.grpc</groupId>
   <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
-  <version>0.2.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
+  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
   <name>grpc-google-cloud-aiplatform-v1beta1</name>
   <description>GRPC library for google-cloud-aiplatform</description>
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform-parent</artifactId>
-    <version>0.2.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   </parent>
   <dependencies>
     <dependency>
diff --git a/pom.xml b/pom.xml
index be0293a9c..99d37f72d 100644
--- a/pom.xml
+++ b/pom.xml
@@ -4,7 +4,7 @@
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-aiplatform-parent</artifactId>
   <packaging>pom</packaging>
-  <version>0.2.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   <name>Google AI Platform Parent</name>
   <url>https://github.com/googleapis/java-</url>
   <description>
@@ -70,17 +70,17 @@
       <dependency>
         <groupId>com.google.cloud</groupId>
         <artifactId>google-cloud-aiplatform</artifactId>
-        <version>0.2.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
-        <version>0.2.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
-        <version>0.2.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
 
       <dependency>
diff --git a/proto-google-cloud-aiplatform-v1beta1/pom.xml b/proto-google-cloud-aiplatform-v1beta1/pom.xml
index d9378b3e3..d337be43c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/pom.xml
+++ b/proto-google-cloud-aiplatform-v1beta1/pom.xml
@@ -4,13 +4,13 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.api.grpc</groupId>
   <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
-  <version>0.2.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
+  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
   <name>proto-google-cloud-aiplatform-v1beta1</name>
   <description>Proto library for google-cloud-aiplatform</description>
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform-parent</artifactId>
-    <version>0.2.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   </parent>
   <dependencies>
     <dependency>
diff --git a/samples/snapshot/pom.xml b/samples/snapshot/pom.xml
index c61908730..e032b1a3f 100644
--- a/samples/snapshot/pom.xml
+++ b/samples/snapshot/pom.xml
@@ -28,7 +28,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-aiplatform</artifactId>
-      <version>0.2.0</version>
+      <version>0.2.1-SNAPSHOT</version>
     </dependency>
   <!-- {x-version-update-end} -->
     <dependency>
diff --git a/versions.txt b/versions.txt
index 58baf96c7..a19f628bc 100644
--- a/versions.txt
+++ b/versions.txt
@@ -1,6 +1,6 @@
 # Format:
 # module:released-version:current-version
 
-google-cloud-aiplatform:0.2.0:0.2.0
-proto-google-cloud-aiplatform-v1beta1:0.2.0:0.2.0
-grpc-google-cloud-aiplatform-v1beta1:0.2.0:0.2.0
\ No newline at end of file
+google-cloud-aiplatform:0.2.0:0.2.1-SNAPSHOT
+proto-google-cloud-aiplatform-v1beta1:0.2.0:0.2.1-SNAPSHOT
+grpc-google-cloud-aiplatform-v1beta1:0.2.0:0.2.1-SNAPSHOT
\ No newline at end of file

From 7522964aeb7bad50232557b78efecc75cd664797 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Thu, 14 Jan 2021 01:18:04 -0800
Subject: [PATCH 02/36] chore: regenerate README (#136)

This PR was generated using Autosynth. :rainbow:


<details><summary>Log from Synthtool</summary>

```
2021-01-14 09:12:09,519 synthtool [DEBUG] > Executing /root/.cache/synthtool/java-aiplatform/.github/readme/synth.py.
On branch autosynth-readme
nothing to commit, working tree clean
2021-01-14 09:12:10,437 synthtool [DEBUG] > Wrote metadata to .github/readme/synth.metadata/synth.metadata.

```
</details>

Full log will be available here:
https://source.cloud.google.com/results/invocations/e052c004-7755-4303-b72e-a6369ac3fe1e/targets

- [ ] To automatically regenerate this PR, check this box.
---
 .github/readme/synth.metadata/synth.metadata | 4 ++--
 README.md                                    | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.github/readme/synth.metadata/synth.metadata b/.github/readme/synth.metadata/synth.metadata
index 45eef153a..6163f636b 100644
--- a/.github/readme/synth.metadata/synth.metadata
+++ b/.github/readme/synth.metadata/synth.metadata
@@ -4,14 +4,14 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "5475de2aa0099893cb2ee4988161c636a5152991"
+        "sha": "40b59c5d5363b1c72fe228831f7b4c6cbc245e31"
       }
     },
     {
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "f15b57ccfd71106c2299e9b89835fe6e55015662"
+        "sha": "16ec872dd898d7de6e1822badfac32484b5d9031"
       }
     }
   ]
diff --git a/README.md b/README.md
index bdd0867b0..b11ebb6c4 100644
--- a/README.md
+++ b/README.md
@@ -43,12 +43,12 @@ compile 'com.google.cloud:google-cloud-aiplatform'
 ```
 If you are using Gradle without BOM, add this to your dependencies
 ```Groovy
-compile 'com.google.cloud:google-cloud-aiplatform:0.1.0'
+compile 'com.google.cloud:google-cloud-aiplatform:0.2.0'
 ```
 
 If you are using SBT, add this to your dependencies
 ```Scala
-libraryDependencies += "com.google.cloud" % "google-cloud-aiplatform" % "0.1.0"
+libraryDependencies += "com.google.cloud" % "google-cloud-aiplatform" % "0.2.0"
 ```
 
 ## Authentication

From 8c2d2196829ed909553338923e7bdb5fd19ad7aa Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Thu, 14 Jan 2021 21:36:27 +0100
Subject: [PATCH 03/36] chore(deps): update dependency
 com.google.cloud:google-cloud-aiplatform to v0.2.0 (#133)

---
 samples/install-without-bom/pom.xml | 2 +-
 samples/snippets/pom.xml            | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/samples/install-without-bom/pom.xml b/samples/install-without-bom/pom.xml
index c3998bc51..f55b0ca75 100644
--- a/samples/install-without-bom/pom.xml
+++ b/samples/install-without-bom/pom.xml
@@ -29,7 +29,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-aiplatform</artifactId>
-      <version>0.1.0</version>
+      <version>0.2.0</version>
     </dependency>
     <!-- [END aiplatform_install_without_bom] -->
     <dependency>
diff --git a/samples/snippets/pom.xml b/samples/snippets/pom.xml
index f66b38d81..4a608837d 100644
--- a/samples/snippets/pom.xml
+++ b/samples/snippets/pom.xml
@@ -27,7 +27,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-aiplatform</artifactId>
-      <version>0.1.1-SNAPSHOT</version>
+      <version>0.2.0</version>
     </dependency>
     <!-- [END aiplatform_install_with_bom] -->
     <dependency>

From 86fe561cbd3578196a6a2175cf43b6734ddb03ff Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Thu, 14 Jan 2021 12:52:02 -0800
Subject: [PATCH 04/36] chore: regenerate README (#137)

This PR was generated using Autosynth. :rainbow:


<details><summary>Log from Synthtool</summary>

```
2021-01-14 20:38:49,312 synthtool [DEBUG] > Executing /root/.cache/synthtool/java-aiplatform/.github/readme/synth.py.
On branch autosynth-readme
nothing to commit, working tree clean
2021-01-14 20:38:50,440 synthtool [DEBUG] > Wrote metadata to .github/readme/synth.metadata/synth.metadata.

```
</details>

Full log will be available here:
https://source.cloud.google.com/results/invocations/f1b029f5-74ad-4c26-ac59-ef6186ab47df/targets

- [ ] To automatically regenerate this PR, check this box.
---
 .github/readme/synth.metadata/synth.metadata | 2 +-
 README.md                                    | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/readme/synth.metadata/synth.metadata b/.github/readme/synth.metadata/synth.metadata
index 6163f636b..4b23b43dd 100644
--- a/.github/readme/synth.metadata/synth.metadata
+++ b/.github/readme/synth.metadata/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "40b59c5d5363b1c72fe228831f7b4c6cbc245e31"
+        "sha": "8c2d2196829ed909553338923e7bdb5fd19ad7aa"
       }
     },
     {
diff --git a/README.md b/README.md
index b11ebb6c4..eb0f10b5c 100644
--- a/README.md
+++ b/README.md
@@ -19,7 +19,7 @@ If you are using Maven with [BOM][libraries-bom], add this to your pom.xml file
   <dependency>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform</artifactId>
-    <version>0.1.1-SNAPSHOT</version>
+    <version>0.2.0</version>
   </dependency>
 
 ```
@@ -30,7 +30,7 @@ If you are using Maven without BOM, add this to your dependencies:
 <dependency>
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-aiplatform</artifactId>
-  <version>0.1.0</version>
+  <version>0.2.0</version>
 </dependency>
 
 ```

From d8855f9f3d4aae9ba63f0ddb448995afd8a3bbc8 Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Mon, 25 Jan 2021 18:34:13 +0100
Subject: [PATCH 05/36] test(deps): update dependency com.google.truth:truth to
 v1.1.2 (#138)

[![WhiteSource Renovate](https://app.renovatebot.com/images/banner.svg)](https://renovatebot.com)

This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [com.google.truth:truth](com/google/truth/truth) | `1.1` -> `1.1.2` | [![age](https://badges.renovateapi.com/packages/maven/com.google.truth:truth/1.1.2/age-slim)](https://docs.renovatebot.com/merge-confidence/) | [![adoption](https://badges.renovateapi.com/packages/maven/com.google.truth:truth/1.1.2/adoption-slim)](https://docs.renovatebot.com/merge-confidence/) | [![passing](https://badges.renovateapi.com/packages/maven/com.google.truth:truth/1.1.2/compatibility-slim/1.1)](https://docs.renovatebot.com/merge-confidence/) | [![confidence](https://badges.renovateapi.com/packages/maven/com.google.truth:truth/1.1.2/confidence-slim/1.1)](https://docs.renovatebot.com/merge-confidence/) |

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/java-aiplatform).
---
 samples/install-without-bom/pom.xml | 2 +-
 samples/snapshot/pom.xml            | 2 +-
 samples/snippets/pom.xml            | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/samples/install-without-bom/pom.xml b/samples/install-without-bom/pom.xml
index f55b0ca75..ede9ea831 100644
--- a/samples/install-without-bom/pom.xml
+++ b/samples/install-without-bom/pom.xml
@@ -51,7 +51,7 @@
     <dependency>
       <groupId>com.google.truth</groupId>
       <artifactId>truth</artifactId>
-      <version>1.1</version>
+      <version>1.1.2</version>
       <scope>test</scope>
     </dependency>
   </dependencies>
diff --git a/samples/snapshot/pom.xml b/samples/snapshot/pom.xml
index e032b1a3f..336fc8f60 100644
--- a/samples/snapshot/pom.xml
+++ b/samples/snapshot/pom.xml
@@ -51,7 +51,7 @@
     <dependency>
       <groupId>com.google.truth</groupId>
       <artifactId>truth</artifactId>
-      <version>1.1</version>
+      <version>1.1.2</version>
       <scope>test</scope>
     </dependency>
   </dependencies>
diff --git a/samples/snippets/pom.xml b/samples/snippets/pom.xml
index 4a608837d..24f98f445 100644
--- a/samples/snippets/pom.xml
+++ b/samples/snippets/pom.xml
@@ -54,7 +54,7 @@
     <dependency>
       <groupId>com.google.truth</groupId>
       <artifactId>truth</artifactId>
-      <version>1.1</version>
+      <version>1.1.2</version>
       <scope>test</scope>
     </dependency>
 

From 7ce8b85864f1b60090e62f0f37823f7e185d02e8 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Mon, 25 Jan 2021 10:10:14 -0800
Subject: [PATCH 06/36] chore: regenerate README (#140)

This PR was generated using Autosynth. :rainbow:


<details><summary>Log from Synthtool</summary>

```
2021-01-25 17:42:00,313 synthtool [DEBUG] > Executing /root/.cache/synthtool/java-aiplatform/.github/readme/synth.py.
On branch autosynth-readme
nothing to commit, working tree clean
2021-01-25 17:42:01,536 synthtool [DEBUG] > Wrote metadata to .github/readme/synth.metadata/synth.metadata.

```
</details>

Full log will be available here:
https://source.cloud.google.com/results/invocations/cf0ef408-a32f-4a25-a5d0-1a81aa8d5016/targets

- [ ] To automatically regenerate this PR, check this box.
---
 .github/readme/synth.metadata/synth.metadata | 4 ++--
 README.md                                    | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/readme/synth.metadata/synth.metadata b/.github/readme/synth.metadata/synth.metadata
index 4b23b43dd..4317bc3b6 100644
--- a/.github/readme/synth.metadata/synth.metadata
+++ b/.github/readme/synth.metadata/synth.metadata
@@ -4,14 +4,14 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "8c2d2196829ed909553338923e7bdb5fd19ad7aa"
+        "sha": "d8855f9f3d4aae9ba63f0ddb448995afd8a3bbc8"
       }
     },
     {
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "16ec872dd898d7de6e1822badfac32484b5d9031"
+        "sha": "b259489b06b25f399768b74b8baa943991f38ea7"
       }
     }
   ]
diff --git a/README.md b/README.md
index eb0f10b5c..6ae16051f 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,7 @@ If you are using Maven without BOM, add this to your dependencies:
 
 If you are using Gradle 5.x or later, add this to your dependencies
 ```Groovy
-implementation platform('com.google.cloud:libraries-bom:16.2.1')
+implementation platform('com.google.cloud:libraries-bom:16.3.0')
 
 compile 'com.google.cloud:google-cloud-aiplatform'
 ```

From 2bf185612415583e796a747a85e14826721699cb Mon Sep 17 00:00:00 2001
From: Eric Schmidt <erschmid@google.com>
Date: Mon, 25 Jan 2021 12:44:19 -0800
Subject: [PATCH 07/36] samples: adds enhanced library samples (#134)

* feat: adds enhanced library samples

* feat: update pom.xml

* update prot version

* removed unused packages

* fix: resetting text sentiment analysis due to proto issues

Co-authored-by: Mike Ganbold <munkhbayarg@google.com>
---
 samples/snippets/pom.xml                      |   5 +
 ...ingPipelineImageObjectDetectionSample.java |  17 +--
 ...ngPipelineTabularClassificationSample.java |  49 ++++++---
 ...ainingPipelineTabularRegressionSample.java | 100 +++++++++++++++---
 ...iningPipelineTextClassificationSample.java |  13 +--
 ...ingPipelineTextEntityExtractionSample.java |   8 +-
 ...ngPipelineTextSentimentAnalysisSample.java |  18 ++--
 ...gPipelineVideoActionRecognitionSample.java |  24 ++---
 ...ningPipelineVideoClassificationSample.java |   4 +-
 ...ningPipelineVideoObjectTrackingSample.java |  14 +--
 .../PredictImageObjectDetectionSample.java    |  36 +++++--
 .../PredictTabularClassificationSample.java   |  13 ++-
 .../PredictTabularRegressionSample.java       |  13 ++-
 .../PredictTextEntityExtractionSample.java    |  31 ++++--
 ...ctionJobVideoClassificationSampleTest.java |   3 +-
 ...ctionJobVideoObjectTrackingSampleTest.java |   3 +-
 ...pelineTabularClassificationSampleTest.java |  21 +---
 ...ngPipelineTabularRegressionSampleTest.java |  21 +---
 ...elineVideoActionRecognitionSampleTest.java |   3 +-
 .../aiplatform/ExportModelSampleTest.java     |   2 +-
 ...tModelTabularClassificationSampleTest.java |   4 +-
 ...aluationImageClassificationSampleTest.java |   6 +-
 ...luationImageObjectDetectionSampleTest.java |   6 +-
 .../GetModelEvaluationSampleTest.java         |   4 +-
 .../GetModelEvaluationSliceSampleTest.java    |   6 +-
 ...uationTabularClassificationSampleTest.java |   8 +-
 ...EvaluationTabularRegressionSampleTest.java |   8 +-
 ...valuationTextClassificationSampleTest.java |   6 +-
 ...luationTextEntityExtractionSampleTest.java |   6 +-
 ...uationTextSentimentAnalysisSampleTest.java |   6 +-
 ...aluationVideoClassificationSampleTest.java |   6 +-
 ...aluationVideoObjectTrackingSampleTest.java |   6 +-
 .../java/aiplatform/GetModelSampleTest.java   |   2 +-
 .../ListModelEvaluationSliceSampleTest.java   |   4 +-
 34 files changed, 290 insertions(+), 186 deletions(-)

diff --git a/samples/snippets/pom.xml b/samples/snippets/pom.xml
index 24f98f445..d1187adcb 100644
--- a/samples/snippets/pom.xml
+++ b/samples/snippets/pom.xml
@@ -57,6 +57,11 @@
       <version>1.1.2</version>
       <scope>test</scope>
     </dependency>
+    <dependency>
+      <groupId>com.google.api.grpc</groupId>
+      <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
+      <version>0.2.0</version>
+    </dependency>
 
   </dependencies>
 </project>
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineImageObjectDetectionSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineImageObjectDetectionSample.java
index d6b2af9ab..9136cec90 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineImageObjectDetectionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineImageObjectDetectionSample.java
@@ -18,6 +18,7 @@
 
 // [START aiplatform_create_training_pipeline_image_object_detection_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.DeployedModelRef;
 import com.google.cloud.aiplatform.v1beta1.EnvVar;
 import com.google.cloud.aiplatform.v1beta1.ExplanationMetadata;
@@ -38,6 +39,9 @@
 import com.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution;
 import com.google.cloud.aiplatform.v1beta1.TimestampSplit;
 import com.google.cloud.aiplatform.v1beta1.TrainingPipeline;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassification;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType;
 import com.google.protobuf.Value;
 import com.google.protobuf.util.JsonFormat;
 import com.google.rpc.Status;
@@ -74,11 +78,12 @@ static void createTrainingPipelineImageObjectDetectionSample(
               + "automl_image_object_detection_1.0.0.yaml";
       LocationName locationName = LocationName.of(project, location);
 
-      String jsonString =
-          "{\"modelType\": \"CLOUD_HIGH_ACCURACY_1\", \"budgetMilliNodeHours\": 20000,"
-              + " \"disableEarlyStopping\": false}";
-      Value.Builder trainingTaskInputs = Value.newBuilder();
-      JsonFormat.parser().merge(jsonString, trainingTaskInputs);
+      AutoMlImageObjectDetectionInputs autoMlImageObjectDetectionInputs =
+          AutoMlImageObjectDetectionInputs.newBuilder()
+              .setModelType(ModelType.CLOUD_HIGH_ACCURACY_1)
+              .setBudgetMilliNodeHours(20000)
+              .setDisableEarlyStopping(false)
+              .build();
 
       InputDataConfig trainingInputDataConfig =
           InputDataConfig.newBuilder().setDatasetId(datasetId).build();
@@ -87,7 +92,7 @@ static void createTrainingPipelineImageObjectDetectionSample(
           TrainingPipeline.newBuilder()
               .setDisplayName(trainingPipelineDisplayName)
               .setTrainingTaskDefinition(trainingTaskDefinition)
-              .setTrainingTaskInputs(trainingTaskInputs)
+              .setTrainingTaskInputs(ValueConverter.toValue(autoMlImageObjectDetectionInputs))
               .setInputDataConfig(trainingInputDataConfig)
               .setModelToUpload(model)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTabularClassificationSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTabularClassificationSample.java
index 92ebb6ada..d37bbf6eb 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTabularClassificationSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTabularClassificationSample.java
@@ -18,6 +18,7 @@
 
 // [START aiplatform_create_training_pipeline_tabular_classification_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.DeployedModelRef;
 import com.google.cloud.aiplatform.v1beta1.EnvVar;
 import com.google.cloud.aiplatform.v1beta1.ExplanationMetadata;
@@ -37,10 +38,14 @@
 import com.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution;
 import com.google.cloud.aiplatform.v1beta1.TimestampSplit;
 import com.google.cloud.aiplatform.v1beta1.TrainingPipeline;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation;
 import com.google.protobuf.Value;
 import com.google.protobuf.util.JsonFormat;
 import com.google.rpc.Status;
 import java.io.IOException;
+import java.util.ArrayList;
 
 public class CreateTrainingPipelineTabularClassificationSample {
 
@@ -50,18 +55,15 @@ public static void main(String[] args) throws IOException {
     String modelDisplayName = "YOUR_DATASET_DISPLAY_NAME";
     String datasetId = "YOUR_DATASET_ID";
     String targetColumn = "TARGET_COLUMN";
-    String transformation =
-        "[{TRANSFORMATION_TYPE: {columnName : COLUMN_NAME, invalidValuesAllowed : TRUE/FALSE }}]";
     createTrainingPipelineTableClassification(
-        project, modelDisplayName, datasetId, targetColumn, transformation);
+        project, modelDisplayName, datasetId, targetColumn);
   }
 
   static void createTrainingPipelineTableClassification(
       String project,
       String modelDisplayName,
       String datasetId,
-      String targetColumn,
-      String transformation)
+      String targetColumn)
       throws IOException {
     PipelineServiceSettings pipelineServiceSettings =
         PipelineServiceSettings.newBuilder()
@@ -77,15 +79,34 @@ static void createTrainingPipelineTableClassification(
       LocationName locationName = LocationName.of(project, location);
       String trainingTaskDefinition =
           "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_tables_1.0.0.yaml";
-      String jsonString =
-          "{\"targetColumn\": \""
-              + targetColumn
-              + "\",\"predictionType\": \"classification\",\"transformations\": "
-              + transformation
-              + ",\"trainBudgetMilliNodeHours\": 8000}";
 
-      Value.Builder trainingTaskInputs = Value.newBuilder();
-      JsonFormat.parser().merge(jsonString, trainingTaskInputs);
+      // Set the columns used for training and their data types
+      Transformation transformation1 = Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("sepal_width").build())
+          .build();
+      Transformation transformation2 = Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("sepal_length").build())
+          .build();
+      Transformation transformation3 = Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("petal_length").build())
+          .build();
+      Transformation transformation4 = Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("petal_width").build())
+          .build();
+
+      ArrayList<Transformation> transformationArrayList = new ArrayList<>();
+      transformationArrayList.add(transformation1);
+      transformationArrayList.add(transformation2);
+      transformationArrayList.add(transformation3);
+      transformationArrayList.add(transformation4);
+
+      AutoMlTablesInputs autoMlTablesInputs =
+          AutoMlTablesInputs.newBuilder()
+              .setTargetColumn(targetColumn)
+              .setPredictionType("classification")
+              .addAllTransformations(transformationArrayList)
+              .setTrainBudgetMilliNodeHours(8000)
+              .build();
 
       FractionSplit fractionSplit =
           FractionSplit.newBuilder()
@@ -105,7 +126,7 @@ static void createTrainingPipelineTableClassification(
           TrainingPipeline.newBuilder()
               .setDisplayName(modelDisplayName)
               .setTrainingTaskDefinition(trainingTaskDefinition)
-              .setTrainingTaskInputs(trainingTaskInputs)
+              .setTrainingTaskInputs(ValueConverter.toValue(autoMlTablesInputs))
               .setInputDataConfig(inputDataConfig)
               .setModelToUpload(modelToUpload)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTabularRegressionSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTabularRegressionSample.java
index 0043fdf52..ce5fff480 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTabularRegressionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTabularRegressionSample.java
@@ -18,6 +18,7 @@
 
 // [START aiplatform_create_training_pipeline_tabular_regression_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.DeployedModelRef;
 import com.google.cloud.aiplatform.v1beta1.EnvVar;
 import com.google.cloud.aiplatform.v1beta1.ExplanationMetadata;
@@ -37,10 +38,16 @@
 import com.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution;
 import com.google.cloud.aiplatform.v1beta1.TimestampSplit;
 import com.google.cloud.aiplatform.v1beta1.TrainingPipeline;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTables;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation;
 import com.google.protobuf.Value;
 import com.google.protobuf.util.JsonFormat;
 import com.google.rpc.Status;
 import java.io.IOException;
+import java.util.ArrayList;
 
 public class CreateTrainingPipelineTabularRegressionSample {
 
@@ -50,18 +57,15 @@ public static void main(String[] args) throws IOException {
     String modelDisplayName = "YOUR_DATASET_DISPLAY_NAME";
     String datasetId = "YOUR_DATASET_ID";
     String targetColumn = "TARGET_COLUMN";
-    String transformation =
-        "[{TRANSFORMATION_TYPE: {columnName : COLUMN_NAME, invalidValuesAllowed : TRUE/FALSE }}]";
     createTrainingPipelineTableRegression(
-        project, modelDisplayName, datasetId, targetColumn, transformation);
+        project, modelDisplayName, datasetId, targetColumn);
   }
 
   static void createTrainingPipelineTableRegression(
       String project,
       String modelDisplayName,
       String datasetId,
-      String targetColumn,
-      String transformation)
+      String targetColumn)
       throws IOException {
     PipelineServiceSettings pipelineServiceSettings =
         PipelineServiceSettings.newBuilder()
@@ -77,14 +81,82 @@ static void createTrainingPipelineTableRegression(
       LocationName locationName = LocationName.of(project, location);
       String trainingTaskDefinition =
           "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_tables_1.0.0.yaml";
-      String jsonString =
-          "{\"targetColumn\": \""
-              + targetColumn
-              + "\",\"predictionType\": \"regression\",\"transformations\": "
-              + transformation
-              + ",\"trainBudgetMilliNodeHours\": 8000}";
-      Value.Builder trainingTaskInputs = Value.newBuilder();
-      JsonFormat.parser().merge(jsonString, trainingTaskInputs);
+
+      // Set the columns used for training and their data types
+      ArrayList<Transformation> tranformations = new ArrayList<>();
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("STRING_5000unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("INTEGER_5000unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("FLOAT_5000unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("FLOAT_5000unique_REPEATED"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("NUMERIC_5000unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("BOOLEAN_2unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setTimestamp(TimestampTransformation.newBuilder()
+              .setColumnName("TIMESTAMP_1unique_NULLABLE")
+              .setInvalidValuesAllowed(true))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("DATE_1unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder().setColumnName("TIME_1unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setTimestamp(TimestampTransformation.newBuilder()
+              .setColumnName("DATETIME_1unique_NULLABLE")
+              .setInvalidValuesAllowed(true))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder()
+              .setColumnName("STRUCT_NULLABLE.STRING_5000unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder()
+              .setColumnName("STRUCT_NULLABLE.INTEGER_5000unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder()
+              .setColumnName("STRUCT_NULLABLE.FLOAT_5000unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder()
+              .setColumnName("STRUCT_NULLABLE.FLOAT_5000unique_REQUIRED"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder()
+              .setColumnName("STRUCT_NULLABLE.FLOAT_5000unique_REPEATED"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder()
+              .setColumnName("STRUCT_NULLABLE.NUMERIC_5000unique_NULLABLE"))
+          .build());
+      tranformations.add(Transformation.newBuilder()
+          .setAuto(AutoTransformation.newBuilder()
+              .setColumnName("STRUCT_NULLABLE.TIMESTAMP_1unique_NULLABLE"))
+          .build());
+
+      AutoMlTablesInputs trainingTaskInputs = AutoMlTablesInputs.newBuilder()
+          .addAllTransformations(tranformations)
+          .setTargetColumn(targetColumn)
+          .setPredictionType("regression")
+          .setTrainBudgetMilliNodeHours(8000)
+          .setDisableEarlyStopping(false)
+          // supported regression optimisation objectives: minimize-rmse,
+          // minimize-mae, minimize-rmsle
+          .setOptimizationObjective("minimize-rmse")
+          .build();
 
       FractionSplit fractionSplit =
           FractionSplit.newBuilder()
@@ -104,7 +176,7 @@ static void createTrainingPipelineTableRegression(
           TrainingPipeline.newBuilder()
               .setDisplayName(modelDisplayName)
               .setTrainingTaskDefinition(trainingTaskDefinition)
-              .setTrainingTaskInputs(trainingTaskInputs)
+              .setTrainingTaskInputs(ValueConverter.toValue(trainingTaskInputs))
               .setInputDataConfig(inputDataConfig)
               .setModelToUpload(modelToUpload)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextClassificationSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextClassificationSample.java
index b5335a4c7..194f2a71d 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextClassificationSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextClassificationSample.java
@@ -18,6 +18,7 @@
 
 // [START aiplatform_create_training_pipeline_text_classification_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.DeployedModelRef;
 import com.google.cloud.aiplatform.v1beta1.EnvVar;
 import com.google.cloud.aiplatform.v1beta1.ExplanationMetadata;
@@ -38,8 +39,7 @@
 import com.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution;
 import com.google.cloud.aiplatform.v1beta1.TimestampSplit;
 import com.google.cloud.aiplatform.v1beta1.TrainingPipeline;
-import com.google.protobuf.Value;
-import com.google.protobuf.util.JsonFormat;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextClassificationInputs;
 import com.google.rpc.Status;
 import java.io.IOException;
 
@@ -73,12 +73,13 @@ static void createTrainingPipelineTextClassificationSample(
       String trainingTaskDefinition =
           "gs://google-cloud-aiplatform/schema/trainingjob/definition/"
               + "automl_text_classification_1.0.0.yaml";
-      String jsonString = "{\"multiLabel\": false}";
 
       LocationName locationName = LocationName.of(project, location);
 
-      Value.Builder trainingTaskInputs = Value.newBuilder();
-      JsonFormat.parser().merge(jsonString, trainingTaskInputs);
+      AutoMlTextClassificationInputs trainingTaskInputs =
+          AutoMlTextClassificationInputs.newBuilder()
+              .setMultiLabel(false)
+              .build();
 
       InputDataConfig trainingInputDataConfig =
           InputDataConfig.newBuilder().setDatasetId(datasetId).build();
@@ -87,7 +88,7 @@ static void createTrainingPipelineTextClassificationSample(
           TrainingPipeline.newBuilder()
               .setDisplayName(trainingPipelineDisplayName)
               .setTrainingTaskDefinition(trainingTaskDefinition)
-              .setTrainingTaskInputs(trainingTaskInputs)
+              .setTrainingTaskInputs(ValueConverter.toValue(trainingTaskInputs))
               .setInputDataConfig(trainingInputDataConfig)
               .setModelToUpload(model)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextEntityExtractionSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextEntityExtractionSample.java
index 9d83a4d1e..577dc865a 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextEntityExtractionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextEntityExtractionSample.java
@@ -18,6 +18,7 @@
 
 // [START aiplatform_create_training_pipeline_text_entity_extraction_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.DeployedModelRef;
 import com.google.cloud.aiplatform.v1beta1.EnvVar;
 import com.google.cloud.aiplatform.v1beta1.ExplanationMetadata;
@@ -73,14 +74,9 @@ static void createTrainingPipelineTextEntityExtractionSample(
       String trainingTaskDefinition =
           "gs://google-cloud-aiplatform/schema/trainingjob/definition/"
               + "automl_text_extraction_1.0.0.yaml";
-      String jsonString = "{}";
 
       LocationName locationName = LocationName.of(project, location);
 
-      // Training task inputs are empty for text entity extraction
-      Value.Builder trainingTaskInputs = Value.newBuilder();
-      JsonFormat.parser().merge(jsonString, trainingTaskInputs);
-
       InputDataConfig trainingInputDataConfig =
           InputDataConfig.newBuilder().setDatasetId(datasetId).build();
       Model model = Model.newBuilder().setDisplayName(modelDisplayName).build();
@@ -88,7 +84,7 @@ static void createTrainingPipelineTextEntityExtractionSample(
           TrainingPipeline.newBuilder()
               .setDisplayName(trainingPipelineDisplayName)
               .setTrainingTaskDefinition(trainingTaskDefinition)
-              .setTrainingTaskInputs(trainingTaskInputs)
+              .setTrainingTaskInputs(ValueConverter.EMPTY_VALUE)
               .setInputDataConfig(trainingInputDataConfig)
               .setModelToUpload(model)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextSentimentAnalysisSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextSentimentAnalysisSample.java
index f9c656ad0..0a5903ae2 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextSentimentAnalysisSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineTextSentimentAnalysisSample.java
@@ -18,6 +18,7 @@
 
 // [START aiplatform_create_training_pipeline_text_sentiment_analysis_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.DeployedModelRef;
 import com.google.cloud.aiplatform.v1beta1.EnvVar;
 import com.google.cloud.aiplatform.v1beta1.ExplanationMetadata;
@@ -38,8 +39,7 @@
 import com.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution;
 import com.google.cloud.aiplatform.v1beta1.TimestampSplit;
 import com.google.cloud.aiplatform.v1beta1.TrainingPipeline;
-import com.google.protobuf.Value;
-import com.google.protobuf.util.JsonFormat;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentimentInputs;
 import com.google.rpc.Status;
 import java.io.IOException;
 
@@ -74,14 +74,14 @@ static void createTrainingPipelineTextSentimentAnalysisSample(
           "gs://google-cloud-aiplatform/schema/trainingjob/definition/"
               + "automl_text_sentiment_1.0.0.yaml";
 
-      // Sentiment max must be between 1 and 10 inclusive.
-      // Higher value means positive sentiment.
-      String jsonString = "{\"sentimentMax\": 4 }";
-
       LocationName locationName = LocationName.of(project, location);
 
-      Value.Builder trainingTaskInputs = Value.newBuilder();
-      JsonFormat.parser().merge(jsonString, trainingTaskInputs);
+      AutoMlTextSentimentInputs trainingTaskInputs =
+          AutoMlTextSentimentInputs.newBuilder()
+              // Sentiment max must be between 1 and 10 inclusive.
+              // Higher value means positive sentiment.
+              .setSentimentMax(4)
+              .build();
 
       InputDataConfig trainingInputDataConfig =
           InputDataConfig.newBuilder().setDatasetId(datasetId).build();
@@ -90,7 +90,7 @@ static void createTrainingPipelineTextSentimentAnalysisSample(
           TrainingPipeline.newBuilder()
               .setDisplayName(trainingPipelineDisplayName)
               .setTrainingTaskDefinition(trainingTaskDefinition)
-              .setTrainingTaskInputs(trainingTaskInputs)
+              .setTrainingTaskInputs(ValueConverter.toValue(trainingTaskInputs))
               .setInputDataConfig(trainingInputDataConfig)
               .setModelToUpload(model)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoActionRecognitionSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoActionRecognitionSample.java
index 70d03788e..bd7320813 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoActionRecognitionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoActionRecognitionSample.java
@@ -17,15 +17,15 @@
 package aiplatform;
 
 // [START aiplatform_create_training_pipeline_video_action_recognition_sample]
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.InputDataConfig;
 import com.google.cloud.aiplatform.v1beta1.LocationName;
 import com.google.cloud.aiplatform.v1beta1.Model;
 import com.google.cloud.aiplatform.v1beta1.PipelineServiceClient;
 import com.google.cloud.aiplatform.v1beta1.PipelineServiceSettings;
 import com.google.cloud.aiplatform.v1beta1.TrainingPipeline;
-import com.google.gson.JsonObject;
-import com.google.protobuf.Value;
-import com.google.protobuf.util.JsonFormat;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType;
 import java.io.IOException;
 
 public class CreateTrainingPipelineVideoActionRecognitionSample {
@@ -36,17 +36,15 @@ public static void main(String[] args) throws IOException {
     String displayName = "DISPLAY_NAME";
     String datasetId = "DATASET_ID";
     String modelDisplayName = "MODEL_DISPLAY_NAME";
-    String modelType = "MODEL_TYPE";
     createTrainingPipelineVideoActionRecognitionSample(
-        project, displayName, datasetId, modelDisplayName, modelType);
+        project, displayName, datasetId, modelDisplayName);
   }
 
   static void createTrainingPipelineVideoActionRecognitionSample(
       String project,
       String displayName,
       String datasetId,
-      String modelDisplayName,
-      String modelType)
+      String modelDisplayName)
       throws IOException {
     PipelineServiceSettings settings =
         PipelineServiceSettings.newBuilder()
@@ -58,11 +56,11 @@ static void createTrainingPipelineVideoActionRecognitionSample(
     // once, and can be reused for multiple requests. After completing all of your requests, call
     // the "close" method on the client to safely clean up any remaining background resources.
     try (PipelineServiceClient client = PipelineServiceClient.create(settings)) {
-      JsonObject jsonTrainingTaskInputs = new JsonObject();
-      jsonTrainingTaskInputs.addProperty("modelType", modelType);
-      Value.Builder trainingTaskInputsBuilder = Value.newBuilder();
-      JsonFormat.parser().merge(jsonTrainingTaskInputs.toString(), trainingTaskInputsBuilder);
-      Value trainingTaskInputs = trainingTaskInputsBuilder.build();
+      AutoMlVideoActionRecognitionInputs trainingTaskInputs =
+          AutoMlVideoActionRecognitionInputs.newBuilder()
+              .setModelType(ModelType.CLOUD)
+              .build();
+
       InputDataConfig inputDataConfig =
           InputDataConfig.newBuilder().setDatasetId(datasetId).build();
       Model modelToUpload = Model.newBuilder().setDisplayName(modelDisplayName).build();
@@ -72,7 +70,7 @@ static void createTrainingPipelineVideoActionRecognitionSample(
               .setTrainingTaskDefinition(
                   "gs://google-cloud-aiplatform/schema/trainingjob/definition/"
                       + "automl_video_action_recognition_1.0.0.yaml")
-              .setTrainingTaskInputs(trainingTaskInputs)
+              .setTrainingTaskInputs(ValueConverter.toValue(trainingTaskInputs))
               .setInputDataConfig(inputDataConfig)
               .setModelToUpload(modelToUpload)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoClassificationSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoClassificationSample.java
index eacbc5123..7bb27c5ae 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoClassificationSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoClassificationSample.java
@@ -18,6 +18,7 @@
 
 // [START aiplatform_create_training_pipeline_video_classification_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.FilterSplit;
 import com.google.cloud.aiplatform.v1beta1.FractionSplit;
 import com.google.cloud.aiplatform.v1beta1.InputDataConfig;
@@ -28,7 +29,6 @@
 import com.google.cloud.aiplatform.v1beta1.PredefinedSplit;
 import com.google.cloud.aiplatform.v1beta1.TimestampSplit;
 import com.google.cloud.aiplatform.v1beta1.TrainingPipeline;
-import com.google.protobuf.Value;
 import com.google.rpc.Status;
 import java.io.IOException;
 
@@ -75,7 +75,7 @@ static void createTrainingPipelineVideoClassification(
           TrainingPipeline.newBuilder()
               .setDisplayName(videoClassificationDisplayName)
               .setTrainingTaskDefinition(trainingTaskDefinition)
-              .setTrainingTaskInputs(Value.newBuilder())
+              .setTrainingTaskInputs(ValueConverter.EMPTY_VALUE)
               .setInputDataConfig(inputDataConfig)
               .setModelToUpload(model)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoObjectTrackingSample.java b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoObjectTrackingSample.java
index a8e5ee149..5cc64fe71 100644
--- a/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoObjectTrackingSample.java
+++ b/samples/snippets/src/main/java/aiplatform/CreateTrainingPipelineVideoObjectTrackingSample.java
@@ -18,6 +18,7 @@
 
 // [START aiplatform_create_training_pipeline_video_object_tracking_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.FilterSplit;
 import com.google.cloud.aiplatform.v1beta1.FractionSplit;
 import com.google.cloud.aiplatform.v1beta1.InputDataConfig;
@@ -28,8 +29,8 @@
 import com.google.cloud.aiplatform.v1beta1.PredefinedSplit;
 import com.google.cloud.aiplatform.v1beta1.TimestampSplit;
 import com.google.cloud.aiplatform.v1beta1.TrainingPipeline;
-import com.google.protobuf.Value;
-import com.google.protobuf.util.JsonFormat;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs;
+import com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType;
 import com.google.rpc.Status;
 import java.io.IOException;
 
@@ -67,9 +68,10 @@ static void createTrainingPipelineVideoObjectTracking(
               + "automl_video_object_tracking_1.0.0.yaml";
       LocationName locationName = LocationName.of(project, location);
 
-      String jsonString = "{\"modelType\": \"CLOUD\"}";
-      Value.Builder trainingTaskInputs = Value.newBuilder();
-      JsonFormat.parser().merge(jsonString, trainingTaskInputs);
+      AutoMlVideoObjectTrackingInputs trainingTaskInputs =
+          AutoMlVideoObjectTrackingInputs.newBuilder()
+              .setModelType(ModelType.CLOUD)
+              .build();
 
       InputDataConfig inputDataConfig =
           InputDataConfig.newBuilder().setDatasetId(datasetId).build();
@@ -78,7 +80,7 @@ static void createTrainingPipelineVideoObjectTracking(
           TrainingPipeline.newBuilder()
               .setDisplayName(trainingPipelineVideoObjectTracking)
               .setTrainingTaskDefinition(trainingTaskDefinition)
-              .setTrainingTaskInputs(trainingTaskInputs)
+              .setTrainingTaskInputs(ValueConverter.toValue(trainingTaskInputs))
               .setInputDataConfig(inputDataConfig)
               .setModelToUpload(modelToUpload)
               .build();
diff --git a/samples/snippets/src/main/java/aiplatform/PredictImageObjectDetectionSample.java b/samples/snippets/src/main/java/aiplatform/PredictImageObjectDetectionSample.java
index b7e832871..cc765ed43 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictImageObjectDetectionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictImageObjectDetectionSample.java
@@ -19,10 +19,14 @@
 // [START aiplatform_predict_image_object_detection_sample]
 
 import com.google.api.client.util.Base64;
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.EndpointName;
 import com.google.cloud.aiplatform.v1beta1.PredictResponse;
 import com.google.cloud.aiplatform.v1beta1.PredictionServiceClient;
 import com.google.cloud.aiplatform.v1beta1.PredictionServiceSettings;
+import com.google.cloud.aiplatform.v1beta1.schema.predict.instance.ImageObjectDetectionPredictionInstance;
+import com.google.cloud.aiplatform.v1beta1.schema.predict.params.ImageObjectDetectionPredictionParams;
+import com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.ImageObjectDetectionPredictionResult;
 import com.google.protobuf.Value;
 import com.google.protobuf.util.JsonFormat;
 import java.io.IOException;
@@ -60,23 +64,41 @@ static void predictImageObjectDetection(String project, String fileName, String
       byte[] contents = Base64.encodeBase64(Files.readAllBytes(Paths.get(fileName)));
       String content = new String(contents, StandardCharsets.UTF_8);
 
-      Value parameter = Value.newBuilder().setNumberValue(0).setNumberValue(5).build();
+      ImageObjectDetectionPredictionParams params =
+          ImageObjectDetectionPredictionParams.newBuilder()
+              .setConfidenceThreshold((float) (0.5))
+              .setMaxPredictions(5)
+              .build();
 
-      String contentDict = "{\"content\": \"" + content + "\"}";
-      Value.Builder instance = Value.newBuilder();
-      JsonFormat.parser().merge(contentDict, instance);
+      ImageObjectDetectionPredictionInstance instance =
+          ImageObjectDetectionPredictionInstance.newBuilder()
+              .setContent(content)
+              .build();
 
       List<Value> instances = new ArrayList<>();
-      instances.add(instance.build());
+      instances.add(ValueConverter.toValue(instance));
 
       PredictResponse predictResponse =
-          predictionServiceClient.predict(endpointName, instances, parameter);
+          predictionServiceClient.predict(endpointName, instances, ValueConverter.toValue(params));
       System.out.println("Predict Image Object Detection Response");
       System.out.format("\tDeployed Model Id: %s\n", predictResponse.getDeployedModelId());
 
       System.out.println("Predictions");
       for (Value prediction : predictResponse.getPredictionsList()) {
-        System.out.format("\tPrediction: %s\n", prediction);
+
+        ImageObjectDetectionPredictionResult.Builder resultBuilder =
+            ImageObjectDetectionPredictionResult.newBuilder();
+
+        ImageObjectDetectionPredictionResult result =
+            (ImageObjectDetectionPredictionResult) ValueConverter
+                .fromValue(resultBuilder, prediction);
+
+        for (int i = 0; i < result.getIdsCount(); i++) {
+          System.out.printf("\tDisplay name: %s\n", result.getDisplayNames(i));
+          System.out.printf("\tConfidences: %f\n", result.getConfidences(i));
+          System.out.printf("\tIDs: %d\n", result.getIds(i));
+          System.out.printf("\tBounding boxes: %s\n", result.getBboxes(i));
+        }
       }
     }
   }
diff --git a/samples/snippets/src/main/java/aiplatform/PredictTabularClassificationSample.java b/samples/snippets/src/main/java/aiplatform/PredictTabularClassificationSample.java
index fbfa7d7f7..869cfd24d 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictTabularClassificationSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictTabularClassificationSample.java
@@ -18,10 +18,12 @@
 
 // [START aiplatform_predict_tabular_classification_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.EndpointName;
 import com.google.cloud.aiplatform.v1beta1.PredictResponse;
 import com.google.cloud.aiplatform.v1beta1.PredictionServiceClient;
 import com.google.cloud.aiplatform.v1beta1.PredictionServiceSettings;
+import com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TabularClassificationPredictionResult;
 import com.google.protobuf.ListValue;
 import com.google.protobuf.Value;
 import com.google.protobuf.util.JsonFormat;
@@ -65,7 +67,16 @@ static void predictTabularClassification(String instance, String project, String
 
       System.out.println("Predictions");
       for (Value prediction : predictResponse.getPredictionsList()) {
-        System.out.format("\tPrediction: %s\n", prediction);
+        TabularClassificationPredictionResult.Builder resultBuilder =
+            TabularClassificationPredictionResult.newBuilder();
+        TabularClassificationPredictionResult result =
+            (TabularClassificationPredictionResult) ValueConverter
+                .fromValue(resultBuilder, prediction);
+
+        for (int i = 0; i < result.getClassesCount(); i++) {
+          System.out.printf("\tClass: %s", result.getClasses(i));
+          System.out.printf("\tScore: %f", result.getScores(i));
+        }
       }
     }
   }
diff --git a/samples/snippets/src/main/java/aiplatform/PredictTabularRegressionSample.java b/samples/snippets/src/main/java/aiplatform/PredictTabularRegressionSample.java
index 92f51ddd3..c1a8127c6 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictTabularRegressionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictTabularRegressionSample.java
@@ -18,10 +18,12 @@
 
 // [START aiplatform_predict_tabular_regression_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.EndpointName;
 import com.google.cloud.aiplatform.v1beta1.PredictResponse;
 import com.google.cloud.aiplatform.v1beta1.PredictionServiceClient;
 import com.google.cloud.aiplatform.v1beta1.PredictionServiceSettings;
+import com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TabularRegressionPredictionResult;
 import com.google.protobuf.ListValue;
 import com.google.protobuf.Value;
 import com.google.protobuf.util.JsonFormat;
@@ -65,7 +67,16 @@ static void predictTabularRegression(String instance, String project, String end
 
       System.out.println("Predictions");
       for (Value prediction : predictResponse.getPredictionsList()) {
-        System.out.format("\tPrediction: %s\n", prediction);
+        TabularRegressionPredictionResult.Builder resultBuilder =
+            TabularRegressionPredictionResult.newBuilder();
+
+        TabularRegressionPredictionResult result =
+            (TabularRegressionPredictionResult) ValueConverter
+                .fromValue(resultBuilder, prediction);
+
+        System.out.printf("\tUpper bound: %f\n", result.getUpperBound());
+        System.out.printf("\tLower bound: %f\n", result.getLowerBound());
+        System.out.printf("\tValue: %f\n", result.getValue());
       }
     }
   }
diff --git a/samples/snippets/src/main/java/aiplatform/PredictTextEntityExtractionSample.java b/samples/snippets/src/main/java/aiplatform/PredictTextEntityExtractionSample.java
index 3fb1559ec..8fc26611a 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictTextEntityExtractionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictTextEntityExtractionSample.java
@@ -18,10 +18,13 @@
 
 // [START aiplatform_predict_text_entity_extraction_sample]
 
+import com.google.cloud.aiplatform.util.ValueConverter;
 import com.google.cloud.aiplatform.v1beta1.EndpointName;
 import com.google.cloud.aiplatform.v1beta1.PredictResponse;
 import com.google.cloud.aiplatform.v1beta1.PredictionServiceClient;
 import com.google.cloud.aiplatform.v1beta1.PredictionServiceSettings;
+import com.google.cloud.aiplatform.v1beta1.schema.predict.instance.TextExtractionPredictionInstance;
+import com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextExtractionPredictionResult;
 import com.google.protobuf.Value;
 import com.google.protobuf.util.JsonFormat;
 import java.io.IOException;
@@ -56,21 +59,37 @@ static void predictTextEntityExtraction(String project, String content, String e
 
       EndpointName endpointName = EndpointName.of(project, location, endpointId);
 
-      Value parameter = Value.newBuilder().setNumberValue(0).setNumberValue(5).build();
-      Value.Builder instance = Value.newBuilder();
-      JsonFormat.parser().merge(jsonString, instance);
+      TextExtractionPredictionInstance instance =
+          TextExtractionPredictionInstance.newBuilder()
+              .setContent(content)
+              .build();
 
       List<Value> instances = new ArrayList<>();
-      instances.add(instance.build());
+      instances.add(ValueConverter.toValue(instance));
 
       PredictResponse predictResponse =
-          predictionServiceClient.predict(endpointName, instances, parameter);
+          predictionServiceClient.predict(endpointName, instances, ValueConverter.EMPTY_VALUE);
       System.out.println("Predict Text Entity Extraction Response");
       System.out.format("\tDeployed Model Id: %s\n", predictResponse.getDeployedModelId());
 
       System.out.println("Predictions");
       for (Value prediction : predictResponse.getPredictionsList()) {
-        System.out.format("\tPrediction: %s\n", prediction);
+        TextExtractionPredictionResult.Builder resultBuilder =
+            TextExtractionPredictionResult.newBuilder();
+
+        TextExtractionPredictionResult result =
+            (TextExtractionPredictionResult) ValueConverter.fromValue(resultBuilder, prediction);
+
+        for (int i = 0; i < result.getIdsCount(); i++) {
+          long textStartOffset = result.getTextSegmentStartOffsets(i);
+          long textEndOffset = result.getTextSegmentEndOffsets(i);
+          String entity = content.substring((int) textStartOffset, (int) textEndOffset);
+
+          System.out.format("\tEntity: %s\n", entity);
+          System.out.format("\tEntity type: %s\n", result.getDisplayNames(i));
+          System.out.format("\tConfidences: %f\n", result.getConfidences(i));
+          System.out.format("\tIDs: %d\n", result.getIds(i));
+        }
       }
     }
   }
diff --git a/samples/snippets/src/test/java/aiplatform/CreateBatchPredictionJobVideoClassificationSampleTest.java b/samples/snippets/src/test/java/aiplatform/CreateBatchPredictionJobVideoClassificationSampleTest.java
index 3fa42715c..fc6c217e8 100644
--- a/samples/snippets/src/test/java/aiplatform/CreateBatchPredictionJobVideoClassificationSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/CreateBatchPredictionJobVideoClassificationSampleTest.java
@@ -34,7 +34,7 @@
 public class CreateBatchPredictionJobVideoClassificationSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("BATCH_PREDICTION_VIDEO_CLASS_MODEL_ID");
+  private static final String MODEL_ID = "8596984660557299712";
   private static final String GCS_SOURCE_URI =
       "gs://ucaip-samples-test-output/inputs/vcn_40_batch_prediction_input.jsonl";
   private static final String GCS_DESTINATION_OUTPUT_URI_PREFIX = "gs://ucaip-samples-test-output/";
@@ -53,7 +53,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("BATCH_PREDICTION_VIDEO_CLASS_MODEL_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/CreateBatchPredictionJobVideoObjectTrackingSampleTest.java b/samples/snippets/src/test/java/aiplatform/CreateBatchPredictionJobVideoObjectTrackingSampleTest.java
index 06f934f49..b6890db18 100644
--- a/samples/snippets/src/test/java/aiplatform/CreateBatchPredictionJobVideoObjectTrackingSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/CreateBatchPredictionJobVideoObjectTrackingSampleTest.java
@@ -34,7 +34,7 @@
 public class CreateBatchPredictionJobVideoObjectTrackingSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("BATCH_PREDICTION_VIDEO_OBJECT_MODEL_ID");
+  private static final String MODEL_ID = "8609932509485989888";
   private static final String GCS_SOURCE_URI =
       "gs://ucaip-samples-test-output/inputs/vot_batch_prediction_input.jsonl";
   private static final String GCS_DESTINATION_OUTPUT_URI_PREFIX = "gs://ucaip-samples-test-output/";
@@ -53,7 +53,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("BATCH_PREDICTION_VIDEO_OBJECT_MODEL_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineTabularClassificationSampleTest.java b/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineTabularClassificationSampleTest.java
index f8bc4769a..c59ed73ed 100644
--- a/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineTabularClassificationSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineTabularClassificationSampleTest.java
@@ -36,24 +36,7 @@ public class CreateTrainingPipelineTabularClassificationSampleTest {
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
   private static final String DATASET_ID =
       System.getenv("TRAINING_PIPELINE_TABLES_CLASSIFICATION_DATASET_ID");
-  private static final String TARGET_COLUMN = "TripType";
-  private static final String TRANSFORMATION =
-      "[{\"numeric\":{\"columnName\":\"Age\",\"invalidValuesAllowed\":false}},"
-          + "{\"categorical\":{\"columnName\":\"Job\"}},"
-          + "{\"categorical\":{\"columnName\":\"MaritalStatus\"}},"
-          + "{\"categorical\":{\"columnName\":\"Default\"}},"
-          + "{\"numeric\":{\"columnName\":\"Balance\",\"invalidValuesAllowed\":false}},"
-          + "{\"categorical\":{\"columnName\":\"Housing\"}},"
-          + "{\"categorical\":{\"columnName\":\"Loan\"}},"
-          + "{\"categorical\":{\"columnName\":\"Contact\"}},"
-          + "{\"numeric\":{\"columnName\":\"Day\",\"invalidValuesAllowed\":false}},"
-          + "{\"categorical\":{\"columnName\":\"Month\"}},"
-          + "{\"numeric\":{\"columnName\":\"Duration\",\"invalidValuesAllowed\":false}},"
-          + "{\"numeric\":{\"columnName\":\"Campaign\",\"invalidValuesAllowed\":false}},"
-          + "{\"numeric\":{\"columnName\":\"PDays\",\"invalidValuesAllowed\":false}},"
-          + "{\"numeric\":{\"columnName\":\"Previous\",\"invalidValuesAllowed\":false}},"
-          + "{\"categorical\":{\"columnName\":\"POutcome\"}},"
-          + "{\"categorical\":{\"columnName\":\"Deposit\"}}]";
+  private static final String TARGET_COLUMN = "species";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -110,7 +93,7 @@ public void createTrainingPipelineTabularClassification() throws IOException {
             UUID.randomUUID().toString().replaceAll("-", "_").substring(0, 26));
 
     CreateTrainingPipelineTabularClassificationSample.createTrainingPipelineTableClassification(
-        PROJECT, modelDisplayName, DATASET_ID, TARGET_COLUMN, TRANSFORMATION);
+        PROJECT, modelDisplayName, DATASET_ID, TARGET_COLUMN);
 
     // Assert
     String got = bout.toString();
diff --git a/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineTabularRegressionSampleTest.java b/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineTabularRegressionSampleTest.java
index 3298e0eba..d5813298f 100644
--- a/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineTabularRegressionSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineTabularRegressionSampleTest.java
@@ -36,22 +36,7 @@ public class CreateTrainingPipelineTabularRegressionSampleTest {
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
   private static final String DATASET_ID =
       System.getenv("TRAINING_PIPELINE_TABLES_REGRESSION_DATASET_ID");
-  private static final String TARGET_COLUMN = "Amount";
-  private static final String TRANSFORMATION =
-      "[{\"categorical\":{\"columnName\":\"SC_Group_Desc\"}},"
-          + "{\"categorical\":{\"columnName\":\"SC_GroupCommod_ID\"}},"
-          + "{\"categorical\":{\"columnName\":\"SC_GroupCommod_Desc\"}},"
-          + "{\"numeric\":{\"columnName\":\"SortOrder\",\"invalidValuesAllowed\":false}},"
-          + "{\"text\":{\"columnName\":\"SC_GeographyIndented_Desc\"}},"
-          + "{\"numeric\":{\"columnName\":\"SC_Commodity_ID\",\"invalidValuesAllowed\":false}},"
-          + "{\"text\":{\"columnName\":\"SC_Commodity_Desc\"}},"
-          + "{\"numeric\":{\"columnName\":\"SC_Attribute_ID\",\"invalidValuesAllowed\":false}},"
-          + "{\"text\":{\"columnName\":\"SC_Attribute_Desc\"}},"
-          + "{\"numeric\":{\"columnName\":\"SC_Unit_ID\",\"invalidValuesAllowed\":false}},"
-          + "{\"numeric\":{\"columnName\":\"Year_ID\",\"invalidValuesAllowed\":false}},"
-          + "{\"categorical\":{\"columnName\":\"SC_Frequency_Desc\"}},"
-          + "{\"numeric\":{\"columnName\":\"Timeperiod_ID\",\"invalidValuesAllowed\":false}},"
-          + "{\"text\":{\"columnName\":\"Timeperiod_Desc\"}}]";
+  private static final String TARGET_COLUMN = "FLOAT_5000unique_REQUIRED";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -87,7 +72,7 @@ public void tearDown()
     // Assert
     String cancelResponse = bout.toString();
     assertThat(cancelResponse).contains("Cancelled the Training Pipeline");
-    TimeUnit.MINUTES.sleep(2);
+    TimeUnit.MINUTES.sleep(3);
 
     // Delete the Training Pipeline
     DeleteTrainingPipelineSample.deleteTrainingPipelineSample(PROJECT, trainingPipelineId);
@@ -108,7 +93,7 @@ public void createTrainingPipelineTabularRegression() throws IOException {
             UUID.randomUUID().toString().replaceAll("-", "_").substring(0, 26));
 
     CreateTrainingPipelineTabularRegressionSample.createTrainingPipelineTableRegression(
-        PROJECT, modelDisplayName, DATASET_ID, TARGET_COLUMN, TRANSFORMATION);
+        PROJECT, modelDisplayName, DATASET_ID, TARGET_COLUMN);
 
     // Assert
     String got = bout.toString();
diff --git a/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineVideoActionRecognitionSampleTest.java b/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineVideoActionRecognitionSampleTest.java
index 3e39be5f8..11fb905fe 100644
--- a/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineVideoActionRecognitionSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/CreateTrainingPipelineVideoActionRecognitionSampleTest.java
@@ -35,7 +35,6 @@ public class CreateTrainingPipelineVideoActionRecognitionSampleTest {
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
   private static final String DATASET_ID =
       System.getenv("TRAINING_PIPELINE_VIDEO_ACTION_DATASET_ID");
-  private static final String MODEL = "CLOUD";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -98,7 +97,7 @@ public void testCreateTrainingPipelineVideoActionRecognitionSample() throws IOEx
 
     CreateTrainingPipelineVideoActionRecognitionSample
         .createTrainingPipelineVideoActionRecognitionSample(
-            PROJECT, trainingPipelineDisplayName, DATASET_ID, modelDisplayName, MODEL);
+            PROJECT, trainingPipelineDisplayName, DATASET_ID, modelDisplayName);
 
     // Assert
     String got = bout.toString();
diff --git a/samples/snippets/src/test/java/aiplatform/ExportModelSampleTest.java b/samples/snippets/src/test/java/aiplatform/ExportModelSampleTest.java
index 287e318c7..607ab5e42 100644
--- a/samples/snippets/src/test/java/aiplatform/ExportModelSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/ExportModelSampleTest.java
@@ -35,7 +35,7 @@
 public class ExportModelSampleTest {
 
   private static final String PROJECT_ID = "ucaip-sample-tests";
-  private static final String MODEL_ID = "5359002081594179584";
+  private static final String MODEL_ID = "3422489426196955136";
   private static final String GCS_DESTINATION_URI_PREFIX =
       "gs://ucaip-samples-test-output/tmp/export_model_test";
   private static final String EXPORT_FORMAT = "tf-saved-model";
diff --git a/samples/snippets/src/test/java/aiplatform/ExportModelTabularClassificationSampleTest.java b/samples/snippets/src/test/java/aiplatform/ExportModelTabularClassificationSampleTest.java
index 9212dc3d9..a55ecffbf 100644
--- a/samples/snippets/src/test/java/aiplatform/ExportModelTabularClassificationSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/ExportModelTabularClassificationSampleTest.java
@@ -32,8 +32,7 @@
 public class ExportModelTabularClassificationSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID =
-      System.getenv("EXPORT_MODEL_TABLES_CLASSIFICATION_MODEL_ID");
+  private static final String MODEL_ID = "6036688272397172736";
   private static final String GCS_DESTINATION_URI_PREFIX =
       "gs://ucaip-samples-test-output/tmp/export_model_test";
   private ByteArrayOutputStream bout;
@@ -50,7 +49,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("EXPORT_MODEL_TABLES_CLASSIFICATION_MODEL_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationImageClassificationSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationImageClassificationSampleTest.java
index 228fa6055..27174f55f 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationImageClassificationSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationImageClassificationSampleTest.java
@@ -33,8 +33,8 @@
 public class GetModelEvaluationImageClassificationSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("IMAGE_CLASS_MODEL_ID");
-  private static final String EVALUATION_ID = System.getenv("IMAGE_CLASS_EVALUATION_ID");
+  private static final String MODEL_ID = "3512561418744365056";
+  private static final String EVALUATION_ID = "9035588644970168320";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -49,8 +49,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("IMAGE_CLASS_MODEL_ID");
-    requireEnvVar("IMAGE_CLASS_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationImageObjectDetectionSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationImageObjectDetectionSampleTest.java
index b78ec23a6..946482f6f 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationImageObjectDetectionSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationImageObjectDetectionSampleTest.java
@@ -33,8 +33,8 @@
 public class GetModelEvaluationImageObjectDetectionSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("IMAGE_OBJECT_DETECT_MODEL_ID");
-  private static final String EVALUATION_ID = System.getenv("IMAGE_OBJECT_DETECT_EVALUATION_ID");
+  private static final String MODEL_ID = "3512561418744365056";
+  private static final String EVALUATION_ID = "9035588644970168320";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -49,8 +49,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("IMAGE_OBJECT_DETECT_MODEL_ID");
-    requireEnvVar("IMAGE_OBJECT_DETECT_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationSampleTest.java
index 022be3d83..a464efe52 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationSampleTest.java
@@ -33,8 +33,8 @@
 public class GetModelEvaluationSampleTest {
 
   private static final String PROJECT_ID = "ucaip-sample-tests";
-  private static final String MODEL_ID = "5162251072873431040";
-  private static final String EVALUATION_ID = "5615675837586029221";
+  private static final String MODEL_ID = "3512561418744365056";
+  private static final String EVALUATION_ID = "9035588644970168320";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationSliceSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationSliceSampleTest.java
index 2b3eb41ea..fbf24ca0a 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationSliceSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationSliceSampleTest.java
@@ -33,9 +33,9 @@
 public class GetModelEvaluationSliceSampleTest {
 
   private static final String PROJECT_ID = "ucaip-sample-tests";
-  private static final String MODEL_ID = "5162251072873431040";
-  private static final String EVALUATION_ID = "5615675837586029221";
-  private static final String SLICE_ID = "4322488217836113260";
+  private static final String MODEL_ID = "3512561418744365056";
+  private static final String EVALUATION_ID = "9035588644970168320";
+  private static final String SLICE_ID = "6481571820677004173";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTabularClassificationSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTabularClassificationSampleTest.java
index 6995dcd9f..23b0f2878 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTabularClassificationSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTabularClassificationSampleTest.java
@@ -30,10 +30,8 @@
 public class GetModelEvaluationTabularClassificationSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID =
-      System.getenv("MODEL_EVALUATION_TABLES_CLASSIFICATION_MODEL_ID");
-  private static final String EVALUATION_ID =
-      System.getenv("MODEL_EVALUATION_TABLES_CLASSIFICATION_EVALUATION_ID");
+  private static final String MODEL_ID = "6036688272397172736";
+  private static final String EVALUATION_ID = "1866113044163962838";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -48,8 +46,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("MODEL_EVALUATION_TABLES_CLASSIFICATION_MODEL_ID");
-    requireEnvVar("MODEL_EVALUATION_TABLES_CLASSIFICATION_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTabularRegressionSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTabularRegressionSampleTest.java
index 81daedecc..bb5ec79b1 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTabularRegressionSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTabularRegressionSampleTest.java
@@ -30,10 +30,8 @@
 public class GetModelEvaluationTabularRegressionSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID =
-      System.getenv("MODEL_EVALUATION_TABLES_REGRESSION_MODEL_ID");
-  private static final String EVALUATION_ID =
-      System.getenv("MODEL_EVALUATION_TABLES_REGRESSION_EVALUATION_ID");
+  private static final String MODEL_ID = "8842430840248991744";
+  private static final String EVALUATION_ID = "4944816689650806017";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -48,8 +46,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("MODEL_EVALUATION_TABLES_REGRESSION_MODEL_ID");
-    requireEnvVar("MODEL_EVALUATION_TABLES_REGRESSION_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextClassificationSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextClassificationSampleTest.java
index b0b646723..4e13470cd 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextClassificationSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextClassificationSampleTest.java
@@ -33,8 +33,8 @@
 public class GetModelEvaluationTextClassificationSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("TEXT_CLASS_MODEL_ID");
-  private static final String EVALUATION_ID = System.getenv("TEXT_CLASS_EVALUATION_ID");
+  private static final String MODEL_ID = "7827432074230366208";
+  private static final String EVALUATION_ID = "5064258198559522816";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -49,8 +49,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("TEXT_CLASS_MODEL_ID");
-    requireEnvVar("TEXT_CLASS_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextEntityExtractionSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextEntityExtractionSampleTest.java
index 55d893702..5881a3429 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextEntityExtractionSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextEntityExtractionSampleTest.java
@@ -33,8 +33,8 @@
 public class GetModelEvaluationTextEntityExtractionSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("TEXT_ENTITY_MODEL_ID");
-  private static final String EVALUATION_ID = System.getenv("TEXT_ENTITY_EVALUATION_ID");
+  private static final String MODEL_ID = "6305215400179138560";
+  private static final String EVALUATION_ID = "1754112472442208256";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -49,8 +49,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("TEXT_ENTITY_MODEL_ID");
-    requireEnvVar("TEXT_ENTITY_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextSentimentAnalysisSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextSentimentAnalysisSampleTest.java
index 1aeb63591..cca27c67a 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextSentimentAnalysisSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationTextSentimentAnalysisSampleTest.java
@@ -33,8 +33,8 @@
 public class GetModelEvaluationTextSentimentAnalysisSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("TEXT_SENTI_MODEL_ID");
-  private static final String EVALUATION_ID = System.getenv("TEXT_SENTI_EVALUATION_ID");
+  private static final String MODEL_ID = "4792568875336073216";
+  private static final String EVALUATION_ID = "3347225656252432384";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -49,8 +49,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("TEXT_SENTI_MODEL_ID");
-    requireEnvVar("TEXT_SENTI_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationVideoClassificationSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationVideoClassificationSampleTest.java
index 4347485ef..26a4628fb 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationVideoClassificationSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationVideoClassificationSampleTest.java
@@ -30,8 +30,8 @@
 public class GetModelEvaluationVideoClassificationSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("VIDEO_CLASS_MODEL_ID");
-  private static final String EVALUATION_ID = System.getenv("VIDEO_CLASS_EVALUATION_ID");
+  private static final String MODEL_ID = "8596984660557299712";
+  private static final String EVALUATION_ID = "7092045712224944128";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -46,8 +46,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("VIDEO_CLASS_MODEL_ID");
-    requireEnvVar("VIDEO_CLASS_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationVideoObjectTrackingSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationVideoObjectTrackingSampleTest.java
index cefe40345..7657b7255 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelEvaluationVideoObjectTrackingSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelEvaluationVideoObjectTrackingSampleTest.java
@@ -30,8 +30,8 @@
 public class GetModelEvaluationVideoObjectTrackingSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String MODEL_ID = System.getenv("VIDEO_OBJECT_DETECT_MODEL_ID");
-  private static final String EVALUATION_ID = System.getenv("VIDEO_OBJECT_DETECT_EVALUATION_ID");
+  private static final String MODEL_ID = "8609932509485989888";
+  private static final String EVALUATION_ID = "6016811301190238208";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
@@ -46,8 +46,6 @@ private static void requireEnvVar(String varName) {
   public static void checkRequirements() {
     requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
     requireEnvVar("UCAIP_PROJECT_ID");
-    requireEnvVar("VIDEO_OBJECT_DETECT_MODEL_ID");
-    requireEnvVar("VIDEO_OBJECT_DETECT_EVALUATION_ID");
   }
 
   @Before
diff --git a/samples/snippets/src/test/java/aiplatform/GetModelSampleTest.java b/samples/snippets/src/test/java/aiplatform/GetModelSampleTest.java
index 314d450d7..d979c5996 100644
--- a/samples/snippets/src/test/java/aiplatform/GetModelSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/GetModelSampleTest.java
@@ -33,7 +33,7 @@
 public class GetModelSampleTest {
 
   private static final String PROJECT_ID = "ucaip-sample-tests";
-  private static final String MODEL_ID = "1478306577684365312";
+  private static final String MODEL_ID = "3512561418744365056";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;
diff --git a/samples/snippets/src/test/java/aiplatform/ListModelEvaluationSliceSampleTest.java b/samples/snippets/src/test/java/aiplatform/ListModelEvaluationSliceSampleTest.java
index 9d99c7729..011fb8cfc 100644
--- a/samples/snippets/src/test/java/aiplatform/ListModelEvaluationSliceSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/ListModelEvaluationSliceSampleTest.java
@@ -33,8 +33,8 @@
 public class ListModelEvaluationSliceSampleTest {
 
   private static final String PROJECT_ID = "ucaip-sample-tests";
-  private static final String MODEL_ID = "5162251072873431040";
-  private static final String EVALUATION_ID = "5615675837586029221";
+  private static final String MODEL_ID = "3512561418744365056";
+  private static final String EVALUATION_ID = "9035588644970168320";
   private ByteArrayOutputStream bout;
   private PrintStream out;
   private PrintStream originalPrintStream;

From 4202413c8d3234ac90cffd84260dce0a631d67d6 Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Tue, 26 Jan 2021 19:34:18 +0100
Subject: [PATCH 08/36] build(deps): update dependency
 com.google.cloud:google-cloud-shared-config to v0.10.0 (#141)

[![WhiteSource Renovate](https://app.renovatebot.com/images/banner.svg)](https://renovatebot.com)

This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [com.google.cloud:google-cloud-shared-config](https://togithub.com/googleapis/java-shared-config) | `0.9.4` -> `0.10.0` | [![age](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-config/0.10.0/age-slim)](https://docs.renovatebot.com/merge-confidence/) | [![adoption](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-config/0.10.0/adoption-slim)](https://docs.renovatebot.com/merge-confidence/) | [![passing](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-config/0.10.0/compatibility-slim/0.9.4)](https://docs.renovatebot.com/merge-confidence/) | [![confidence](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-config/0.10.0/confidence-slim/0.9.4)](https://docs.renovatebot.com/merge-confidence/) |

---

### Release Notes

<details>
<summary>googleapis/java-shared-config</summary>

### [`v0.10.0`](https://togithub.com/googleapis/java-shared-config/blob/master/CHANGELOG.md#&#8203;0100-httpswwwgithubcomgoogleapisjava-shared-configcomparev094v0100-2021-01-21)

[Compare Source](https://togithub.com/googleapis/java-shared-config/compare/v0.9.4...v0.10.0)

##### Features

-   adding pom profile to generate docfx yml from javadoc ([#&#8203;213](https://www.github.com/googleapis/java-shared-config/issues/213)) ([3527c47](https://www.github.com/googleapis/java-shared-config/commit/3527c47ff413d415f87fccca84358da2c837841d))

##### Dependencies

-   update dependency com.puppycrawl.tools:checkstyle to v8.39 ([#&#8203;209](https://www.github.com/googleapis/java-shared-config/issues/209)) ([fb53922](https://www.github.com/googleapis/java-shared-config/commit/fb539226d407001822a56c7fff792922cd85d1fe))

##### [0.9.4](https://www.github.com/googleapis/java-shared-config/compare/v0.9.3...v0.9.4) (2020-10-21)

##### Documentation

-   Latest for Cloud-RAD ([#&#8203;199](https://www.github.com/googleapis/java-shared-config/issues/199)) ([34712af](https://www.github.com/googleapis/java-shared-config/commit/34712afac58aa0d148f0843026b3ff770ee030c2))

##### [0.9.3](https://www.github.com/googleapis/java-shared-config/compare/v0.9.2...v0.9.3) (2020-10-15)

##### Dependencies

-   update auto-value-annotation.version to v1.7.4 ([#&#8203;157](https://www.github.com/googleapis/java-shared-config/issues/157)) ([5d7e394](https://www.github.com/googleapis/java-shared-config/commit/5d7e394d964010a3e32af492cec4be85aabc3ebf))

##### [0.9.2](https://www.github.com/googleapis/java-shared-config/compare/v0.9.1...v0.9.2) (2020-07-02)

##### Dependencies

-   update dependency org.apache.maven.surefire:surefire-junit47 to v3.0.0-M5 ([#&#8203;180](https://www.github.com/googleapis/java-shared-config/issues/180)) ([802d9c5](https://www.github.com/googleapis/java-shared-config/commit/802d9c528d34b386face69ca75a014ce57fc3ac1))

##### [0.9.1](https://www.github.com/googleapis/java-shared-config/compare/v0.9.0...v0.9.1) (2020-07-01)

##### Bug Fixes

-   maven-dependency-plugin configuration breaking downstream config ([#&#8203;174](https://www.github.com/googleapis/java-shared-config/issues/174)) ([507217f](https://www.github.com/googleapis/java-shared-config/commit/507217fe509cd4f16eb50c8075ab43229238e08d))

##### Documentation

-   change Devsite output path to /java/docs/reference ([#&#8203;176](https://www.github.com/googleapis/java-shared-config/issues/176)) ([8b98af5](https://www.github.com/googleapis/java-shared-config/commit/8b98af54bf503d97bb86b6d02a5c4301b39384e1))

</details>

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/java-aiplatform).
---
 google-cloud-aiplatform-bom/pom.xml | 2 +-
 pom.xml                             | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/google-cloud-aiplatform-bom/pom.xml b/google-cloud-aiplatform-bom/pom.xml
index f65cc3263..90d5c3e2d 100644
--- a/google-cloud-aiplatform-bom/pom.xml
+++ b/google-cloud-aiplatform-bom/pom.xml
@@ -8,7 +8,7 @@
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-shared-config</artifactId>
-    <version>0.9.4</version>
+    <version>0.10.0</version>
   </parent>
 
   <name>Google AI Platform BOM</name>
diff --git a/pom.xml b/pom.xml
index 99d37f72d..984bb993e 100644
--- a/pom.xml
+++ b/pom.xml
@@ -14,7 +14,7 @@
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-shared-config</artifactId>
-    <version>0.9.4</version>
+    <version>0.10.0</version>
   </parent>
 
   <developers>

From 3b6288186a545654a18d728df53f2544197354a3 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Tue, 26 Jan 2021 11:16:29 -0800
Subject: [PATCH 09/36] chore: adding docfx doclet resource (#142)

This PR was generated using Autosynth. :rainbow:

Synth log will be available here:
https://source.cloud.google.com/results/invocations/999a92c1-7031-4f0c-b90a-33f34b1907cf/targets

- [ ] To automatically regenerate this PR, check this box.

Source-Link: https://github.com/googleapis/synthtool/commit/3816b080296d4d52975079fd26c110dd26ba25af
---
 .kokoro/release/publish_javadoc.cfg | 3 +++
 synth.metadata                      | 4 ++--
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/.kokoro/release/publish_javadoc.cfg b/.kokoro/release/publish_javadoc.cfg
index 810186bdc..8265680a3 100644
--- a/.kokoro/release/publish_javadoc.cfg
+++ b/.kokoro/release/publish_javadoc.cfg
@@ -27,3 +27,6 @@ before_action {
     }
   }
 }
+
+# Downloads docfx doclet resource. This will be in ${KOKORO_GFILE_DIR}/<doclet name>
+gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/docfx"
\ No newline at end of file
diff --git a/synth.metadata b/synth.metadata
index bc5d9c83a..2ab4d1743 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "8cd53bb7d8124bb008af858672a44abb541a0d44"
+        "sha": "2bf185612415583e796a747a85e14826721699cb"
       }
     },
     {
@@ -19,7 +19,7 @@
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "6133907dbb3ddab204a17a15d5c53ec0aae9b033"
+        "sha": "3816b080296d4d52975079fd26c110dd26ba25af"
       }
     }
   ],

From e859f1139838e9dca8ad87034db369ebc238d502 Mon Sep 17 00:00:00 2001
From: Justin Beckwith <justin.beckwith@gmail.com>
Date: Thu, 28 Jan 2021 22:16:35 -0800
Subject: [PATCH 10/36] build: migrate to flakybot (#143)

---
 .kokoro/build.sh | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.kokoro/build.sh b/.kokoro/build.sh
index e594535ac..3f3f160d7 100755
--- a/.kokoro/build.sh
+++ b/.kokoro/build.sh
@@ -114,8 +114,8 @@ bash .kokoro/coerce_logs.sh
 
 if [[ "${ENABLE_BUILD_COP}" == "true" ]]
 then
-    chmod +x ${KOKORO_GFILE_DIR}/linux_amd64/buildcop
-    ${KOKORO_GFILE_DIR}/linux_amd64/buildcop -repo=googleapis/java-aiplatform
+    chmod +x ${KOKORO_GFILE_DIR}/linux_amd64/flakybot
+    ${KOKORO_GFILE_DIR}/linux_amd64/flakybot -repo=googleapis/java-aiplatform
 fi
 
 echo "exiting with ${RETURN_CODE}"

From 1590af0a14d5a0b18c75c14ba0b543b68b467ca7 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Tue, 2 Feb 2021 14:12:03 -0800
Subject: [PATCH 11/36] build(java): generate docfx yml on release (#151)

This PR was generated using Autosynth. :rainbow:

Synth log will be available here:
https://source.cloud.google.com/results/invocations/ff7854e6-7885-44fc-9c6d-a32b4fd0df4f/targets

- [ ] To automatically regenerate this PR, check this box.

Source-Link: https://github.com/googleapis/synthtool/commit/5de29e9434b63ea6d7e46dc348521c62969af1a1
---
 .kokoro/release/publish_javadoc.cfg   |  5 +--
 .kokoro/release/publish_javadoc11.cfg | 30 +++++++++++++++
 .kokoro/release/publish_javadoc11.sh  | 55 +++++++++++++++++++++++++++
 synth.metadata                        |  6 ++-
 4 files changed, 90 insertions(+), 6 deletions(-)
 create mode 100644 .kokoro/release/publish_javadoc11.cfg
 create mode 100755 .kokoro/release/publish_javadoc11.sh

diff --git a/.kokoro/release/publish_javadoc.cfg b/.kokoro/release/publish_javadoc.cfg
index 8265680a3..41750d3a8 100644
--- a/.kokoro/release/publish_javadoc.cfg
+++ b/.kokoro/release/publish_javadoc.cfg
@@ -26,7 +26,4 @@ before_action {
       keyname: "docuploader_service_account"
     }
   }
-}
-
-# Downloads docfx doclet resource. This will be in ${KOKORO_GFILE_DIR}/<doclet name>
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/docfx"
\ No newline at end of file
+}
\ No newline at end of file
diff --git a/.kokoro/release/publish_javadoc11.cfg b/.kokoro/release/publish_javadoc11.cfg
new file mode 100644
index 000000000..2ddd71ce6
--- /dev/null
+++ b/.kokoro/release/publish_javadoc11.cfg
@@ -0,0 +1,30 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+env_vars: {
+  key: "STAGING_BUCKET_V2"
+  value: "docs-staging-v2"
+  # Production will be at: docs-staging-v2
+}
+
+# Configure the docker image for kokoro-trampoline
+env_vars: {
+  key: "TRAMPOLINE_IMAGE"
+  value: "gcr.io/cloud-devrel-kokoro-resources/java11"
+}
+
+env_vars: {
+  key: "TRAMPOLINE_BUILD_FILE"
+  value: "github/java-memcache/.kokoro/release/publish_javadoc11.sh"
+}
+
+before_action {
+  fetch_keystore {
+    keystore_resource {
+      keystore_config_id: 73713
+      keyname: "docuploader_service_account"
+    }
+  }
+}
+
+# Downloads docfx doclet resource. This will be in ${KOKORO_GFILE_DIR}/<doclet name>
+gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/docfx"
\ No newline at end of file
diff --git a/.kokoro/release/publish_javadoc11.sh b/.kokoro/release/publish_javadoc11.sh
new file mode 100755
index 000000000..2d0711104
--- /dev/null
+++ b/.kokoro/release/publish_javadoc11.sh
@@ -0,0 +1,55 @@
+#!/bin/bash
+# Copyright 2021 Google Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+set -eo pipefail
+
+if [[ -z "${CREDENTIALS}" ]]; then
+  CREDENTIALS=${KOKORO_KEYSTORE_DIR}/73713_docuploader_service_account
+fi
+
+if [[ -z "${STAGING_BUCKET_V2}" ]]; then
+  echo "Need to set STAGING_BUCKET_V2 environment variable"
+  exit 1
+fi
+
+# work from the git root directory
+pushd $(dirname "$0")/../../
+
+# install docuploader package
+python3 -m pip install gcp-docuploader
+
+# compile all packages
+mvn clean install -B -q -DskipTests=true
+
+export NAME=google-cloud-aiplatform
+export VERSION=$(grep ${NAME}: versions.txt | cut -d: -f3)
+
+# V3 generates docfx yml from javadoc
+# generate yml
+mvn clean site -B -q -P docFX
+
+pushd target/docfx-yml
+
+# create metadata
+python3 -m docuploader create-metadata \
+ --name ${NAME} \
+ --version ${VERSION} \
+ --language java
+
+# upload yml
+python3 -m docuploader upload . \
+ --credentials ${CREDENTIALS} \
+ --staging-bucket ${STAGING_BUCKET_V2} \
+ --destination-prefix docfx-
diff --git a/synth.metadata b/synth.metadata
index 2ab4d1743..ac1d452d5 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "2bf185612415583e796a747a85e14826721699cb"
+        "sha": "e859f1139838e9dca8ad87034db369ebc238d502"
       }
     },
     {
@@ -19,7 +19,7 @@
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "3816b080296d4d52975079fd26c110dd26ba25af"
+        "sha": "5de29e9434b63ea6d7e46dc348521c62969af1a1"
       }
     }
   ],
@@ -88,6 +88,8 @@
     ".kokoro/release/promote.sh",
     ".kokoro/release/publish_javadoc.cfg",
     ".kokoro/release/publish_javadoc.sh",
+    ".kokoro/release/publish_javadoc11.cfg",
+    ".kokoro/release/publish_javadoc11.sh",
     ".kokoro/release/snapshot.cfg",
     ".kokoro/release/snapshot.sh",
     ".kokoro/release/stage.cfg",

From 9439bcb5de0393eb1cacee40d7e70d36e9feab11 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Thu, 4 Feb 2021 12:54:14 -0800
Subject: [PATCH 12/36] build(java): run linkage monitor as GitHub action
 (#152)

This PR was generated using Autosynth. :rainbow:

Synth log will be available here:
https://source.cloud.google.com/results/invocations/b4862725-1fcd-46b6-9324-e78ea6075dbc/targets

- [ ] To automatically regenerate this PR, check this box.

Source-Link: https://github.com/googleapis/synthtool/commit/e935c9ecb47da0f2e054f5f1845f7cf7c95fa625
---
 .github/workflows/ci.yaml  | 13 ++++++++++-
 .kokoro/linkage-monitor.sh | 46 --------------------------------------
 synth.metadata             |  5 ++---
 3 files changed, 14 insertions(+), 50 deletions(-)
 delete mode 100755 .kokoro/linkage-monitor.sh

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 683022075..98a472e13 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -54,7 +54,18 @@ jobs:
       with:
         java-version: 8
     - run: java -version
-    - run: .kokoro/linkage-monitor.sh
+    - name: Install artifacts to local Maven repository
+      run: |
+        source .kokoro/common.sh
+        retry_with_backoff 3 10 \
+            mvn install -B -V \
+                -Dmaven.test.skip -DskipTests=true \
+                -Dclirr.skip=true \
+                -Denforcer.skip=true \
+                -Dmaven.javadoc.skip=true \
+                -Dgcloud.download.skip=true
+      shell: bash
+    - uses: GoogleCloudPlatform/cloud-opensource-java/linkage-monitor@v1-linkagemonitor
   lint:
     runs-on: ubuntu-latest
     steps:
diff --git a/.kokoro/linkage-monitor.sh b/.kokoro/linkage-monitor.sh
deleted file mode 100755
index 759ab4e2c..000000000
--- a/.kokoro/linkage-monitor.sh
+++ /dev/null
@@ -1,46 +0,0 @@
-#!/bin/bash
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-# Display commands being run.
-set -x
-
-## Get the directory of the build script
-scriptDir=$(realpath $(dirname "${BASH_SOURCE[0]}"))
-## cd to the parent directory, i.e. the root of the git repo
-cd ${scriptDir}/..
-
-# include common functions
-source ${scriptDir}/common.sh
-
-# Print out Java version
-java -version
-echo ${JOB_TYPE}
-
-# attempt to install 3 times with exponential backoff (starting with 10 seconds)
-retry_with_backoff 3 10 \
-  mvn install -B -V \
-    -DskipTests=true \
-    -Dclirr.skip=true \
-    -Denforcer.skip=true \
-    -Dmaven.javadoc.skip=true \
-    -Dgcloud.download.skip=true
-
-# Kokoro job cloud-opensource-java/ubuntu/linkage-monitor-gcs creates this JAR
-JAR=linkage-monitor-latest-all-deps.jar
-curl -v -O "https://storage.googleapis.com/cloud-opensource-java-linkage-monitor/${JAR}"
-
-# Fails if there's new linkage errors compared with baseline
-java -jar ${JAR} com.google.cloud:libraries-bom
diff --git a/synth.metadata b/synth.metadata
index ac1d452d5..8761f431a 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "e859f1139838e9dca8ad87034db369ebc238d502"
+        "sha": "1590af0a14d5a0b18c75c14ba0b543b68b467ca7"
       }
     },
     {
@@ -19,7 +19,7 @@
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "5de29e9434b63ea6d7e46dc348521c62969af1a1"
+        "sha": "e935c9ecb47da0f2e054f5f1845f7cf7c95fa625"
       }
     }
   ],
@@ -58,7 +58,6 @@
     ".kokoro/continuous/java8.cfg",
     ".kokoro/continuous/readme.cfg",
     ".kokoro/dependencies.sh",
-    ".kokoro/linkage-monitor.sh",
     ".kokoro/nightly/common.cfg",
     ".kokoro/nightly/integration.cfg",
     ".kokoro/nightly/java11.cfg",

From d56e6ab0c7022ef508c96ba04330b1926a08088d Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Thu, 4 Feb 2021 22:09:06 +0100
Subject: [PATCH 13/36] deps: update dependency
 com.google.cloud:google-cloud-shared-dependencies to v0.18.0 (#131)

---
 pom.xml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pom.xml b/pom.xml
index 984bb993e..8ca412d95 100644
--- a/pom.xml
+++ b/pom.xml
@@ -86,7 +86,7 @@
       <dependency>
         <groupId>com.google.cloud</groupId>
         <artifactId>google-cloud-shared-dependencies</artifactId>
-        <version>0.17.0</version>
+        <version>0.18.0</version>
         <type>pom</type>
         <scope>import</scope>
       </dependency>

From 5e946827a948f22de2d81070308f4569f53fe82c Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Thu, 4 Feb 2021 15:20:15 -0800
Subject: [PATCH 14/36] chore: update gapic-generator-java to 0.0.16 (#127)

Committer: @miraleung
PiperOrigin-RevId: 350067652

Source-Author: Google APIs <noreply@google.com>
Source-Date: Mon Jan 4 19:45:21 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: ad3bb00ed7750cd0625b3a36e0e2eff29f778e4a
Source-Link: https://github.com/googleapis/googleapis/commit/ad3bb00ed7750cd0625b3a36e0e2eff29f778e4a

Co-authored-by: Neenu Shaji <Neenu1995@users.noreply.github.com>
Co-authored-by: Eric Schmidt <erschmid@google.com>
---
 .../aiplatform/v1beta1/JobServiceClientTest.java     | 12 ++++++++++++
 .../aiplatform/v1beta1/ModelServiceClientTest.java   |  2 ++
 synth.metadata                                       |  4 ++--
 3 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
index 20514e017..7ffaecaaf 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
@@ -1493,11 +1493,14 @@ public void createBatchPredictionJobTest() throws Exception {
                     .toString())
             .setDisplayName("displayName1714148973")
             .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build())
             .setModelParameters(Value.newBuilder().build())
+            .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build())
             .setDedicatedResources(BatchDedicatedResources.newBuilder().build())
             .setManualBatchTuningParameters(ManualBatchTuningParameters.newBuilder().build())
             .setGenerateExplanation(true)
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
+            .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
             .setError(Status.newBuilder().build())
             .addAllPartialFailures(new ArrayList<Status>())
             .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
@@ -1553,11 +1556,14 @@ public void createBatchPredictionJobTest2() throws Exception {
                     .toString())
             .setDisplayName("displayName1714148973")
             .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build())
             .setModelParameters(Value.newBuilder().build())
+            .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build())
             .setDedicatedResources(BatchDedicatedResources.newBuilder().build())
             .setManualBatchTuningParameters(ManualBatchTuningParameters.newBuilder().build())
             .setGenerateExplanation(true)
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
+            .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
             .setError(Status.newBuilder().build())
             .addAllPartialFailures(new ArrayList<Status>())
             .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
@@ -1613,11 +1619,14 @@ public void getBatchPredictionJobTest() throws Exception {
                     .toString())
             .setDisplayName("displayName1714148973")
             .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build())
             .setModelParameters(Value.newBuilder().build())
+            .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build())
             .setDedicatedResources(BatchDedicatedResources.newBuilder().build())
             .setManualBatchTuningParameters(ManualBatchTuningParameters.newBuilder().build())
             .setGenerateExplanation(true)
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
+            .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
             .setError(Status.newBuilder().build())
             .addAllPartialFailures(new ArrayList<Status>())
             .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
@@ -1672,11 +1681,14 @@ public void getBatchPredictionJobTest2() throws Exception {
                     .toString())
             .setDisplayName("displayName1714148973")
             .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build())
             .setModelParameters(Value.newBuilder().build())
+            .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build())
             .setDedicatedResources(BatchDedicatedResources.newBuilder().build())
             .setManualBatchTuningParameters(ManualBatchTuningParameters.newBuilder().build())
             .setGenerateExplanation(true)
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
+            .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
             .setError(Status.newBuilder().build())
             .addAllPartialFailures(new ArrayList<Status>())
             .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
index ddd33ec23..51d21228c 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
@@ -823,6 +823,7 @@ public void getModelEvaluationSliceTest() throws Exception {
                 ModelEvaluationSliceName.of(
                         "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
                     .toString())
+            .setSlice(ModelEvaluationSlice.Slice.newBuilder().build())
             .setMetricsSchemaUri("metricsSchemaUri-182209912")
             .setMetrics(Value.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
@@ -872,6 +873,7 @@ public void getModelEvaluationSliceTest2() throws Exception {
                 ModelEvaluationSliceName.of(
                         "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
                     .toString())
+            .setSlice(ModelEvaluationSlice.Slice.newBuilder().build())
             .setMetricsSchemaUri("metricsSchemaUri-182209912")
             .setMetrics(Value.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
diff --git a/synth.metadata b/synth.metadata
index 8761f431a..33aa15881 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -11,8 +11,8 @@
       "git": {
         "name": "googleapis",
         "remote": "https://github.com/googleapis/googleapis.git",
-        "sha": "6d65640b1fcbdf26ea76cb720de0ac138cae9bed",
-        "internalRef": "347036369"
+        "sha": "ad3bb00ed7750cd0625b3a36e0e2eff29f778e4a",
+        "internalRef": "350067652"
       }
     },
     {

From b36c00e775d34a18a201cbdac95e6746b901c42d Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Thu, 4 Feb 2021 16:20:06 -0800
Subject: [PATCH 15/36] chore: Re-generated to pick up changes from synthtool.
 (#156)

This PR was generated using Autosynth. :rainbow:

Synth log will be available here:
https://source.cloud.google.com/results/invocations/b54f7bec-a892-42f3-a548-6aa9abc95c37/targets

- [ ] To automatically regenerate this PR, check this box.

Source-Link: https://github.com/googleapis/synthtool/commit/692715c0f23a7bb3bfbbaa300f7620ddfa8c47e5
Source-Link: https://github.com/googleapis/synthtool/commit/27b2d4f4674840628d0b75c5941e89c12af4764f
Source-Link: https://github.com/googleapis/synthtool/commit/140ba24a136c63e7f10a998a63e7898aed63ea7d
---
 .github/workflows/auto-release.yaml   | 2 +-
 .kokoro/release/publish_javadoc11.cfg | 4 ++--
 LICENSE                               | 1 -
 synth.metadata                        | 4 ++--
 4 files changed, 5 insertions(+), 6 deletions(-)

diff --git a/.github/workflows/auto-release.yaml b/.github/workflows/auto-release.yaml
index 2b6cdbc97..76e6404b4 100644
--- a/.github/workflows/auto-release.yaml
+++ b/.github/workflows/auto-release.yaml
@@ -17,7 +17,7 @@ jobs:
           }
 
           // only approve PRs like "chore: release <release version>"
-          if ( !context.payload.pull_request.title.startsWith("chore: release") ) {
+          if ( !context.payload.pull_request.title.startsWith("chore(master): release") ) {
             return;
           }
 
diff --git a/.kokoro/release/publish_javadoc11.cfg b/.kokoro/release/publish_javadoc11.cfg
index 2ddd71ce6..4f15d30cd 100644
--- a/.kokoro/release/publish_javadoc11.cfg
+++ b/.kokoro/release/publish_javadoc11.cfg
@@ -14,7 +14,7 @@ env_vars: {
 
 env_vars: {
   key: "TRAMPOLINE_BUILD_FILE"
-  value: "github/java-memcache/.kokoro/release/publish_javadoc11.sh"
+  value: "github/java-aiplatform/.kokoro/release/publish_javadoc11.sh"
 }
 
 before_action {
@@ -27,4 +27,4 @@ before_action {
 }
 
 # Downloads docfx doclet resource. This will be in ${KOKORO_GFILE_DIR}/<doclet name>
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/docfx"
\ No newline at end of file
+gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/docfx"
diff --git a/LICENSE b/LICENSE
index d64569567..261eeb9e9 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,4 +1,3 @@
-
                                  Apache License
                            Version 2.0, January 2004
                         http://www.apache.org/licenses/
diff --git a/synth.metadata b/synth.metadata
index 33aa15881..b815c5b80 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "1590af0a14d5a0b18c75c14ba0b543b68b467ca7"
+        "sha": "d56e6ab0c7022ef508c96ba04330b1926a08088d"
       }
     },
     {
@@ -19,7 +19,7 @@
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "e935c9ecb47da0f2e054f5f1845f7cf7c95fa625"
+        "sha": "692715c0f23a7bb3bfbbaa300f7620ddfa8c47e5"
       }
     }
   ],

From 0d2f83472a4a622e4db3c4a07339ea8ed6777e9a Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Wed, 10 Feb 2021 09:02:49 -0800
Subject: [PATCH 16/36] build(java): update autorelease script (#158)

This PR was generated using Autosynth. :rainbow:

Synth log will be available here:
https://source.cloud.google.com/results/invocations/a39ce3d2-d5b6-4fa9-974c-161b03c53cf6/targets

- [ ] To automatically regenerate this PR, check this box.

Source-Link: https://github.com/googleapis/synthtool/commit/2414b817065726eae0bc525346c7e874f969369d
---
 .github/workflows/auto-release.yaml | 4 ++--
 synth.metadata                      | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/auto-release.yaml b/.github/workflows/auto-release.yaml
index 76e6404b4..7c8816a7d 100644
--- a/.github/workflows/auto-release.yaml
+++ b/.github/workflows/auto-release.yaml
@@ -4,7 +4,7 @@ name: auto-release
 jobs:
   approve:
     runs-on: ubuntu-latest
-    if: contains(github.head_ref, 'release-v')
+    if: contains(github.head_ref, 'release-please')
     steps:
     - uses: actions/github-script@v3
       with:
@@ -16,7 +16,7 @@ jobs:
             return;
           }
 
-          // only approve PRs like "chore: release <release version>"
+          // only approve PRs like "chore(master): release <release version>"
           if ( !context.payload.pull_request.title.startsWith("chore(master): release") ) {
             return;
           }
diff --git a/synth.metadata b/synth.metadata
index b815c5b80..64ff20259 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "d56e6ab0c7022ef508c96ba04330b1926a08088d"
+        "sha": "b36c00e775d34a18a201cbdac95e6746b901c42d"
       }
     },
     {
@@ -19,7 +19,7 @@
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "692715c0f23a7bb3bfbbaa300f7620ddfa8c47e5"
+        "sha": "2414b817065726eae0bc525346c7e874f969369d"
       }
     }
   ],

From c730c1fdbbcfab6d09523da8568794fe9cefea47 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Wed, 10 Feb 2021 09:40:07 -0800
Subject: [PATCH 17/36] chore: regenerate README (#159)

This PR was generated using Autosynth. :rainbow:


<details><summary>Log from Synthtool</summary>

```
2021-02-10 17:10:07,266 synthtool [DEBUG] > Executing /root/.cache/synthtool/java-aiplatform/.github/readme/synth.py.
On branch autosynth-readme
nothing to commit, working tree clean
2021-02-10 17:10:10,098 synthtool [DEBUG] > Wrote metadata to .github/readme/synth.metadata/synth.metadata.

```
</details>

Full log will be available here:
https://source.cloud.google.com/results/invocations/d8135255-5af9-4586-970b-9d326677fcbe/targets

- [ ] To automatically regenerate this PR, check this box.
---
 .github/readme/synth.metadata/synth.metadata | 4 ++--
 README.md                                    | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/readme/synth.metadata/synth.metadata b/.github/readme/synth.metadata/synth.metadata
index 4317bc3b6..206b6a228 100644
--- a/.github/readme/synth.metadata/synth.metadata
+++ b/.github/readme/synth.metadata/synth.metadata
@@ -4,14 +4,14 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "d8855f9f3d4aae9ba63f0ddb448995afd8a3bbc8"
+        "sha": "0d2f83472a4a622e4db3c4a07339ea8ed6777e9a"
       }
     },
     {
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "b259489b06b25f399768b74b8baa943991f38ea7"
+        "sha": "2414b817065726eae0bc525346c7e874f969369d"
       }
     }
   ]
diff --git a/README.md b/README.md
index 6ae16051f..d044a2378 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,7 @@ If you are using Maven without BOM, add this to your dependencies:
 
 If you are using Gradle 5.x or later, add this to your dependencies
 ```Groovy
-implementation platform('com.google.cloud:libraries-bom:16.3.0')
+implementation platform('com.google.cloud:libraries-bom:16.4.0')
 
 compile 'com.google.cloud:google-cloud-aiplatform'
 ```

From 7189f811357cf0523d5b278b7a7dfedd691bbeda Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Tue, 16 Feb 2021 19:04:11 +0100
Subject: [PATCH 18/36] test(deps): update dependency junit:junit to v4.13.2
 (#161)

[![WhiteSource Renovate](https://app.renovatebot.com/images/banner.svg)](https://renovatebot.com)

This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [junit:junit](http://junit.org) ([source](https://togithub.com/junit-team/junit4)) | `4.13.1` -> `4.13.2` | [![age](https://badges.renovateapi.com/packages/maven/junit:junit/4.13.2/age-slim)](https://docs.renovatebot.com/merge-confidence/) | [![adoption](https://badges.renovateapi.com/packages/maven/junit:junit/4.13.2/adoption-slim)](https://docs.renovatebot.com/merge-confidence/) | [![passing](https://badges.renovateapi.com/packages/maven/junit:junit/4.13.2/compatibility-slim/4.13.1)](https://docs.renovatebot.com/merge-confidence/) | [![confidence](https://badges.renovateapi.com/packages/maven/junit:junit/4.13.2/confidence-slim/4.13.1)](https://docs.renovatebot.com/merge-confidence/) |

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/java-aiplatform).
---
 google-cloud-aiplatform/pom.xml     | 2 +-
 samples/install-without-bom/pom.xml | 2 +-
 samples/snapshot/pom.xml            | 2 +-
 samples/snippets/pom.xml            | 2 +-
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/google-cloud-aiplatform/pom.xml b/google-cloud-aiplatform/pom.xml
index 76a490194..91ba8aa4a 100644
--- a/google-cloud-aiplatform/pom.xml
+++ b/google-cloud-aiplatform/pom.xml
@@ -68,7 +68,7 @@
       <groupId>junit</groupId>
       <artifactId>junit</artifactId>
       <scope>test</scope>
-      <version>4.13.1</version>
+      <version>4.13.2</version>
     </dependency>
 
     <dependency>
diff --git a/samples/install-without-bom/pom.xml b/samples/install-without-bom/pom.xml
index ede9ea831..5569c5ab5 100644
--- a/samples/install-without-bom/pom.xml
+++ b/samples/install-without-bom/pom.xml
@@ -45,7 +45,7 @@
     <dependency>
       <groupId>junit</groupId>
       <artifactId>junit</artifactId>
-      <version>4.13.1</version>
+      <version>4.13.2</version>
       <scope>test</scope>
     </dependency>
     <dependency>
diff --git a/samples/snapshot/pom.xml b/samples/snapshot/pom.xml
index 336fc8f60..1ef46c082 100644
--- a/samples/snapshot/pom.xml
+++ b/samples/snapshot/pom.xml
@@ -45,7 +45,7 @@
     <dependency>
       <groupId>junit</groupId>
       <artifactId>junit</artifactId>
-      <version>4.13.1</version>
+      <version>4.13.2</version>
       <scope>test</scope>
     </dependency>
     <dependency>
diff --git a/samples/snippets/pom.xml b/samples/snippets/pom.xml
index d1187adcb..1cffad808 100644
--- a/samples/snippets/pom.xml
+++ b/samples/snippets/pom.xml
@@ -48,7 +48,7 @@
     <dependency>
       <groupId>junit</groupId>
       <artifactId>junit</artifactId>
-      <version>4.13.1</version>
+      <version>4.13.2</version>
       <scope>test</scope>
     </dependency>
     <dependency>

From e9cc050d9e492060f6bd7cb065fcc0c11e04a9bb Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Tue, 16 Feb 2021 14:20:09 -0800
Subject: [PATCH 19/36] ci: linkage monitor CI job to use build.sh (#162)

This PR was generated using Autosynth. :rainbow:

Synth log will be available here:
https://source.cloud.google.com/results/invocations/1e3ec873-bb46-42c7-9fb0-f5bfc36217bf/targets

- [ ] To automatically regenerate this PR, check this box.

Source-Link: https://github.com/googleapis/synthtool/commit/f327d3b657a63ae4a8efd7f011a15eacae36b59c
---
 .github/workflows/ci.yaml | 13 +++----------
 synth.metadata            |  4 ++--
 2 files changed, 5 insertions(+), 12 deletions(-)

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 98a472e13..def8b3a2c 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -55,17 +55,10 @@ jobs:
         java-version: 8
     - run: java -version
     - name: Install artifacts to local Maven repository
-      run: |
-        source .kokoro/common.sh
-        retry_with_backoff 3 10 \
-            mvn install -B -V \
-                -Dmaven.test.skip -DskipTests=true \
-                -Dclirr.skip=true \
-                -Denforcer.skip=true \
-                -Dmaven.javadoc.skip=true \
-                -Dgcloud.download.skip=true
+      run: .kokoro/build.sh
       shell: bash
-    - uses: GoogleCloudPlatform/cloud-opensource-java/linkage-monitor@v1-linkagemonitor
+    - name: Validate any conflicts with regard to com.google.cloud:libraries-bom (latest release)
+      uses: GoogleCloudPlatform/cloud-opensource-java/linkage-monitor@v1-linkagemonitor
   lint:
     runs-on: ubuntu-latest
     steps:
diff --git a/synth.metadata b/synth.metadata
index 64ff20259..4e93bdf4c 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "b36c00e775d34a18a201cbdac95e6746b901c42d"
+        "sha": "7189f811357cf0523d5b278b7a7dfedd691bbeda"
       }
     },
     {
@@ -19,7 +19,7 @@
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "2414b817065726eae0bc525346c7e874f969369d"
+        "sha": "f327d3b657a63ae4a8efd7f011a15eacae36b59c"
       }
     }
   ],

From 2a2c35d7c5b3be68102d6032f164054500336e50 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Wed, 17 Feb 2021 09:07:12 -0800
Subject: [PATCH 20/36] chore: update cloud-rad buckets (#163)

This PR was generated using Autosynth. :rainbow:

Synth log will be available here:
https://source.cloud.google.com/results/invocations/0125f787-c2d1-480a-9d9a-da72f1696134/targets

- [ ] To automatically regenerate this PR, check this box.

Source-Link: https://github.com/googleapis/synthtool/commit/b416a7befcdbc42de41cf387dcf428f894fb812b
---
 .kokoro/release/publish_javadoc.cfg   | 4 ++--
 .kokoro/release/publish_javadoc.sh    | 2 +-
 .kokoro/release/publish_javadoc11.cfg | 2 +-
 .kokoro/release/publish_javadoc11.sh  | 2 +-
 synth.metadata                        | 4 ++--
 5 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/.kokoro/release/publish_javadoc.cfg b/.kokoro/release/publish_javadoc.cfg
index 41750d3a8..ac7264203 100644
--- a/.kokoro/release/publish_javadoc.cfg
+++ b/.kokoro/release/publish_javadoc.cfg
@@ -7,10 +7,10 @@ env_vars: {
   value: "docs-staging"
 }
 
+# cloud-rad staging
 env_vars: {
   key: "STAGING_BUCKET_V2"
-  value: "docs-staging-v2"
-  # Production will be at: docs-staging-v2
+  value: "docs-staging-v2-staging"
 }
 
 env_vars: {
diff --git a/.kokoro/release/publish_javadoc.sh b/.kokoro/release/publish_javadoc.sh
index bf5fdf868..d8ad859f3 100755
--- a/.kokoro/release/publish_javadoc.sh
+++ b/.kokoro/release/publish_javadoc.sh
@@ -71,7 +71,7 @@ python3 -m docuploader create-metadata \
   --version ${VERSION} \
   --language java
 
-# upload docs
+# upload docs to staging bucket
 python3 -m docuploader upload . \
   --credentials ${CREDENTIALS} \
   --staging-bucket ${STAGING_BUCKET_V2}
diff --git a/.kokoro/release/publish_javadoc11.cfg b/.kokoro/release/publish_javadoc11.cfg
index 4f15d30cd..8573cece0 100644
--- a/.kokoro/release/publish_javadoc11.cfg
+++ b/.kokoro/release/publish_javadoc11.cfg
@@ -1,9 +1,9 @@
 # Format: //devtools/kokoro/config/proto/build.proto
 
+# cloud-rad production
 env_vars: {
   key: "STAGING_BUCKET_V2"
   value: "docs-staging-v2"
-  # Production will be at: docs-staging-v2
 }
 
 # Configure the docker image for kokoro-trampoline
diff --git a/.kokoro/release/publish_javadoc11.sh b/.kokoro/release/publish_javadoc11.sh
index 2d0711104..5905726d8 100755
--- a/.kokoro/release/publish_javadoc11.sh
+++ b/.kokoro/release/publish_javadoc11.sh
@@ -48,7 +48,7 @@ python3 -m docuploader create-metadata \
  --version ${VERSION} \
  --language java
 
-# upload yml
+# upload yml to production bucket
 python3 -m docuploader upload . \
  --credentials ${CREDENTIALS} \
  --staging-bucket ${STAGING_BUCKET_V2} \
diff --git a/synth.metadata b/synth.metadata
index 4e93bdf4c..3b76567d4 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "7189f811357cf0523d5b278b7a7dfedd691bbeda"
+        "sha": "e9cc050d9e492060f6bd7cb065fcc0c11e04a9bb"
       }
     },
     {
@@ -19,7 +19,7 @@
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "f327d3b657a63ae4a8efd7f011a15eacae36b59c"
+        "sha": "b416a7befcdbc42de41cf387dcf428f894fb812b"
       }
     }
   ],

From bc8826aea48191fea3a2a392f2beaaa192edc777 Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Wed, 17 Feb 2021 20:50:44 +0100
Subject: [PATCH 21/36] deps: update dependency
 com.google.cloud:google-cloud-storage to v1.113.9 (#132)

---
 samples/install-without-bom/pom.xml | 2 +-
 samples/snapshot/pom.xml            | 2 +-
 samples/snippets/pom.xml            | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/samples/install-without-bom/pom.xml b/samples/install-without-bom/pom.xml
index 5569c5ab5..67c100d5b 100644
--- a/samples/install-without-bom/pom.xml
+++ b/samples/install-without-bom/pom.xml
@@ -35,7 +35,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.8</version>
+      <version>1.113.9</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>
diff --git a/samples/snapshot/pom.xml b/samples/snapshot/pom.xml
index 1ef46c082..07a80446d 100644
--- a/samples/snapshot/pom.xml
+++ b/samples/snapshot/pom.xml
@@ -34,7 +34,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.8</version>
+      <version>1.113.9</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>
diff --git a/samples/snippets/pom.xml b/samples/snippets/pom.xml
index 1cffad808..f22faca41 100644
--- a/samples/snippets/pom.xml
+++ b/samples/snippets/pom.xml
@@ -33,7 +33,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.8</version>
+      <version>1.113.9</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>

From 8cf8cc6b36e127c8dfdc9677906195c49065c7ea Mon Sep 17 00:00:00 2001
From: Eric Schmidt <erschmid@google.com>
Date: Wed, 17 Feb 2021 13:55:52 -0800
Subject: [PATCH 22/36] fix: reduces image object detection test resource file
 size (#154)

* fix: reduces image object detection test resource file size

* fix: more file resizing :(
---
 samples/snippets/resources/caprese_salad.jpg | Bin 8167759 -> 440773 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/samples/snippets/resources/caprese_salad.jpg b/samples/snippets/resources/caprese_salad.jpg
index fbd7e6575c320367bf8288d227b1d08e24eae10b..4508fd86809b3df69faa01ba2d631bfd0fa6fd45 100644
GIT binary patch
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From fbeb273ac6e21ca01a39de3b4964cf28cc441efd Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Thu, 18 Feb 2021 11:35:02 -0800
Subject: [PATCH 23/36] feat: add encryption_spec to aiplatform v1beta1 (#155)

* chore: update gapic-generator-java to 0.0.16

Committer: @miraleung
PiperOrigin-RevId: 350067652

Source-Author: Google APIs <noreply@google.com>
Source-Date: Mon Jan 4 19:45:21 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: ad3bb00ed7750cd0625b3a36e0e2eff29f778e4a
Source-Link: https://github.com/googleapis/googleapis/commit/ad3bb00ed7750cd0625b3a36e0e2eff29f778e4a

* chore: update gapic-generator-java to 0.0.16

Committer: @miraleung
PiperOrigin-RevId: 350067652

Source-Author: Google APIs <noreply@google.com>
Source-Date: Mon Jan 4 19:45:21 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: ad3bb00ed7750cd0625b3a36e0e2eff29f778e4a
Source-Link: https://github.com/googleapis/googleapis/commit/ad3bb00ed7750cd0625b3a36e0e2eff29f778e4a

* chore: update gapic-generator-java to 0.0.18

Committer: @miraleung
PiperOrigin-RevId: 350949863

Source-Author: Google APIs <noreply@google.com>
Source-Date: Sat Jan 9 14:01:49 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: 91e206bcfeaf8948ea03fe3cb1b7616108496cd3
Source-Link: https://github.com/googleapis/googleapis/commit/91e206bcfeaf8948ea03fe3cb1b7616108496cd3

* feat: add encryption_spec to aiplatform v1beta1

PiperOrigin-RevId: 354148500

Source-Author: Google APIs <noreply@google.com>
Source-Date: Wed Jan 27 12:35:58 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: d99d5d592f3d1d5526511c90120b1e9ab3ce6e17
Source-Link: https://github.com/googleapis/googleapis/commit/d99d5d592f3d1d5526511c90120b1e9ab3ce6e17

* fix: add clirr-ignored-differences file for breaking changes

Co-authored-by: Neenu Shaji <Neenu1995@users.noreply.github.com>
Co-authored-by: Neenu1995 <neenushaji@google.com>
Co-authored-by: Eric Schmidt <erschmid@google.com>
---
 .../v1beta1/DatasetServiceClient.java         |    5 +-
 .../v1beta1/DatasetServiceSettings.java       |    1 +
 .../v1beta1/EndpointServiceClient.java        |    5 +-
 .../v1beta1/EndpointServiceSettings.java      |    1 +
 .../aiplatform/v1beta1/JobServiceClient.java  |    2 +-
 .../v1beta1/JobServiceSettings.java           |    1 +
 .../v1beta1/MigrationServiceClient.java       |    2 +-
 .../v1beta1/MigrationServiceSettings.java     |    1 +
 .../v1beta1/ModelServiceClient.java           |    6 +-
 .../v1beta1/ModelServiceSettings.java         |    1 +
 .../v1beta1/PipelineServiceClient.java        |    2 +-
 .../v1beta1/PipelineServiceSettings.java      |    1 +
 .../v1beta1/PredictionServiceClient.java      |    2 +-
 .../v1beta1/PredictionServiceSettings.java    |    1 +
 .../v1beta1/SpecialistPoolServiceClient.java  |    2 +-
 .../SpecialistPoolServiceSettings.java        |    1 +
 .../v1beta1/stub/DatasetServiceStub.java      |    4 +-
 .../v1beta1/stub/EndpointServiceStub.java     |    4 +-
 .../GrpcDatasetServiceCallableFactory.java    |    4 +-
 .../v1beta1/stub/GrpcDatasetServiceStub.java  |    2 +
 .../GrpcEndpointServiceCallableFactory.java   |    4 +-
 .../v1beta1/stub/GrpcEndpointServiceStub.java |    2 +
 .../stub/GrpcJobServiceCallableFactory.java   |    4 +-
 .../v1beta1/stub/GrpcJobServiceStub.java      |    2 +
 .../GrpcMigrationServiceCallableFactory.java  |    4 +-
 .../stub/GrpcMigrationServiceStub.java        |    2 +
 .../stub/GrpcModelServiceCallableFactory.java |    4 +-
 .../v1beta1/stub/GrpcModelServiceStub.java    |    2 +
 .../GrpcPipelineServiceCallableFactory.java   |    4 +-
 .../v1beta1/stub/GrpcPipelineServiceStub.java |    2 +
 .../GrpcPredictionServiceCallableFactory.java |    4 +-
 .../stub/GrpcPredictionServiceStub.java       |    2 +
 ...cSpecialistPoolServiceCallableFactory.java |    4 +-
 .../stub/GrpcSpecialistPoolServiceStub.java   |    2 +
 .../v1beta1/stub/JobServiceStub.java          |    4 +-
 .../v1beta1/stub/MigrationServiceStub.java    |    4 +-
 .../v1beta1/stub/ModelServiceStub.java        |    4 +-
 .../v1beta1/stub/PipelineServiceStub.java     |    4 +-
 .../v1beta1/stub/PredictionServiceStub.java   |    4 +-
 .../stub/SpecialistPoolServiceStub.java       |    4 +-
 .../v1beta1/DatasetServiceClientTest.java     |    5 +
 .../v1beta1/EndpointServiceClientTest.java    |    5 +
 .../v1beta1/JobServiceClientTest.java         |   16 +
 .../v1beta1/ModelServiceClientTest.java       |    5 +
 .../v1beta1/PipelineServiceClientTest.java    |    4 +
 .../clirr-ignored-differences.xml             |  338 +++
 .../v1beta1/ActiveLearningConfig.java         |    4 +-
 .../cloud/aiplatform/v1beta1/Attribution.java |  128 +-
 .../v1beta1/AttributionOrBuilder.java         |   33 +-
 ...atchMigrateResourcesOperationMetadata.java | 2375 ++++++++++++++++-
 ...teResourcesOperationMetadataOrBuilder.java |   69 +
 .../v1beta1/BatchPredictionJob.java           |  590 ++--
 .../v1beta1/BatchPredictionJobOrBuilder.java  |   93 +-
 .../v1beta1/BatchPredictionJobProto.java      |  136 +-
 .../v1beta1/BigQueryDestination.java          |   56 +-
 .../v1beta1/BigQueryDestinationOrBuilder.java |   16 +-
 .../cloud/aiplatform/v1beta1/CustomJob.java   |  304 +++
 .../v1beta1/CustomJobOrBuilder.java           |   41 +
 .../aiplatform/v1beta1/CustomJobProto.java    |  111 +-
 .../aiplatform/v1beta1/CustomJobSpec.java     |  221 +-
 .../v1beta1/CustomJobSpecOrBuilder.java       |   58 +-
 .../aiplatform/v1beta1/DataLabelingJob.java   |  340 ++-
 .../v1beta1/DataLabelingJobOrBuilder.java     |   50 +-
 .../v1beta1/DataLabelingJobProto.java         |  112 +-
 .../cloud/aiplatform/v1beta1/Dataset.java     |  292 ++
 .../aiplatform/v1beta1/DatasetOrBuilder.java  |   38 +
 .../aiplatform/v1beta1/DatasetProto.java      |   67 +-
 .../aiplatform/v1beta1/DeployedModel.java     |    8 +-
 .../v1beta1/DeployedModelOrBuilder.java       |    2 +-
 .../cloud/aiplatform/v1beta1/DiskSpec.java    |   14 +-
 .../aiplatform/v1beta1/DiskSpecOrBuilder.java |    4 +-
 .../aiplatform/v1beta1/EncryptionSpec.java    |  666 +++++
 .../v1beta1/EncryptionSpecOrBuilder.java      |   58 +
 .../v1beta1/EncryptionSpecProto.java          |   78 +
 .../cloud/aiplatform/v1beta1/Endpoint.java    |  304 +++
 .../aiplatform/v1beta1/EndpointOrBuilder.java |   41 +
 .../aiplatform/v1beta1/EndpointProto.java     |   82 +-
 .../cloud/aiplatform/v1beta1/EnvVar.java      |   28 +-
 .../aiplatform/v1beta1/EnvVarOrBuilder.java   |    8 +-
 .../cloud/aiplatform/v1beta1/EnvVarProto.java |   12 +-
 .../aiplatform/v1beta1/ExplainRequest.java    |  383 +++
 .../v1beta1/ExplainRequestOrBuilder.java      |   60 +
 .../v1beta1/ExplanationMetadata.java          |   44 +-
 .../v1beta1/ExplanationMetadataOrBuilder.java |   20 +-
 .../v1beta1/ExplanationMetadataOverride.java  | 2094 +++++++++++++++
 .../ExplanationMetadataOverrideOrBuilder.java |  120 +
 .../v1beta1/ExplanationParameters.java        |   24 +-
 .../ExplanationParametersOrBuilder.java       |    6 +-
 .../aiplatform/v1beta1/ExplanationProto.java  |   73 +-
 .../v1beta1/ExplanationSpecOverride.java      | 1051 ++++++++
 .../ExplanationSpecOverrideOrBuilder.java     |  101 +
 .../v1beta1/ExportModelRequest.java           |  150 +-
 .../cloud/aiplatform/v1beta1/FilterSplit.java |   44 +-
 .../v1beta1/FilterSplitOrBuilder.java         |   12 +-
 .../aiplatform/v1beta1/FractionSplit.java     |    4 +-
 .../v1beta1/HyperparameterTuningJob.java      |  304 +++
 .../HyperparameterTuningJobOrBuilder.java     |   41 +
 .../v1beta1/HyperparameterTuningJobProto.java |   74 +-
 .../aiplatform/v1beta1/InputDataConfig.java   |  321 +--
 .../v1beta1/InputDataConfigOrBuilder.java     |   84 +-
 .../aiplatform/v1beta1/JobServiceProto.java   |  410 +--
 .../v1beta1/ListDatasetsRequest.java          |   98 +-
 .../v1beta1/ListDatasetsRequestOrBuilder.java |   28 +-
 .../v1beta1/ListEndpointsRequest.java         |   84 +-
 .../ListEndpointsRequestOrBuilder.java        |   24 +-
 .../aiplatform/v1beta1/ListModelsRequest.java |   98 +-
 .../v1beta1/ListModelsRequestOrBuilder.java   |   28 +-
 .../cloud/aiplatform/v1beta1/MachineSpec.java |  175 +-
 .../v1beta1/MachineSpecOrBuilder.java         |   50 +-
 .../v1beta1/MigrationServiceProto.java        |  189 +-
 .../cloud/aiplatform/v1beta1/Model.java       |  572 +++-
 .../v1beta1/ModelContainerSpec.java           |   70 +-
 .../v1beta1/ModelContainerSpecOrBuilder.java  |   20 +-
 .../aiplatform/v1beta1/ModelEvaluation.java   | 1647 +++++++++++-
 .../v1beta1/ModelEvaluationOrBuilder.java     |   73 +
 .../v1beta1/ModelEvaluationProto.java         |   39 +-
 .../aiplatform/v1beta1/ModelExplanation.java  |   46 +-
 .../v1beta1/ModelExplanationOrBuilder.java    |   10 +-
 .../aiplatform/v1beta1/ModelOrBuilder.java    |  111 +-
 .../cloud/aiplatform/v1beta1/ModelProto.java  |  122 +-
 .../v1beta1/PredictionServiceProto.java       |   52 +-
 .../SearchMigratableResourcesRequest.java     |  235 ++
 ...chMigratableResourcesRequestOrBuilder.java |   41 +
 .../aiplatform/v1beta1/SmoothGradConfig.java  |   32 +-
 .../v1beta1/SmoothGradConfigOrBuilder.java    |    8 +-
 .../cloud/aiplatform/v1beta1/StudyProto.java  |  176 +-
 .../cloud/aiplatform/v1beta1/StudySpec.java   |  698 +++++
 .../v1beta1/StudySpecOrBuilder.java           |   59 +
 .../aiplatform/v1beta1/TrainingPipeline.java  |  340 ++-
 .../v1beta1/TrainingPipelineOrBuilder.java    |   50 +-
 .../v1beta1/TrainingPipelineProto.java        |  130 +-
 .../cloud/aiplatform/v1beta1/TrialName.java   |  257 ++
 .../v1beta1/UpdateDatasetRequest.java         |   36 +-
 .../UpdateDatasetRequestOrBuilder.java        |    9 +-
 .../v1beta1/UpdateEndpointRequest.java        |   24 +
 .../UpdateEndpointRequestOrBuilder.java       |    6 +
 .../v1beta1/UpdateModelRequest.java           |   48 +-
 .../v1beta1/UpdateModelRequestOrBuilder.java  |   12 +-
 .../aiplatform/v1beta1/WorkerPoolSpec.java    |   64 +-
 .../v1beta1/WorkerPoolSpecOrBuilder.java      |   16 +-
 .../aiplatform/v1beta1/XraiAttribution.java   |    4 +-
 .../v1beta1/batch_prediction_job.proto        |   39 +-
 .../cloud/aiplatform/v1beta1/custom_job.proto |   41 +-
 .../v1beta1/data_labeling_job.proto           |   12 +-
 .../cloud/aiplatform/v1beta1/dataset.proto    |    5 +
 .../aiplatform/v1beta1/dataset_service.proto  |   20 +-
 .../aiplatform/v1beta1/encryption_spec.proto  |   36 +
 .../cloud/aiplatform/v1beta1/endpoint.proto   |    8 +-
 .../aiplatform/v1beta1/endpoint_service.proto |   14 +-
 .../cloud/aiplatform/v1beta1/env_var.proto    |    4 +-
 .../aiplatform/v1beta1/explanation.proto      |   80 +-
 .../v1beta1/explanation_metadata.proto        |    4 +-
 .../v1beta1/hyperparameter_tuning_job.proto   |    6 +
 .../google/cloud/aiplatform/v1beta1/io.proto  |   10 +-
 .../aiplatform/v1beta1/job_service.proto      |    2 +
 .../v1beta1/machine_resources.proto           |   42 +-
 .../v1beta1/migratable_resource.proto         |    1 +
 .../v1beta1/migration_service.proto           |   41 +
 .../cloud/aiplatform/v1beta1/model.proto      |   37 +-
 .../aiplatform/v1beta1/model_evaluation.proto |   17 +
 .../aiplatform/v1beta1/model_service.proto    |   31 +-
 .../v1beta1/prediction_service.proto          |   10 +
 .../cloud/aiplatform/v1beta1/study.proto      |   56 +
 .../v1beta1/training_pipeline.proto           |   62 +-
 synth.metadata                                |    9 +
 165 files changed, 16255 insertions(+), 2459 deletions(-)
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java
 create mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto

diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
index 496de9e90..99e954f4e 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
@@ -92,7 +92,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class DatasetServiceClient implements BackgroundResource {
   private final DatasetServiceSettings settings;
   private final DatasetServiceStub stub;
@@ -276,8 +276,7 @@ public final UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
    *
    * @param dataset Required. The Dataset which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
-   *     definition, see
-   *     <p>[FieldMask](https: //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   *     definition, see [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    *     Updatable fields:
    *     <p>&#42; `display_name` &#42; `description` &#42; `labels`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
index dfc367edc..1f03ae479 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
@@ -71,6 +71,7 @@
  * DatasetServiceSettings datasetServiceSettings = datasetServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class DatasetServiceSettings extends ClientSettings<DatasetServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
index 83b583f35..b84ee6035 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class EndpointServiceClient implements BackgroundResource {
   private final EndpointServiceSettings settings;
   private final EndpointServiceStub stub;
@@ -342,7 +342,8 @@ public final UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndp
    * Updates an Endpoint.
    *
    * @param endpoint Required. The Endpoint which replaces the resource on the server.
-   * @param updateMask Required. The update mask applies to the resource.
+   * @param updateMask Required. The update mask applies to the resource. See
+   *     [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
   public final Endpoint updateEndpoint(Endpoint endpoint, FieldMask updateMask) {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
index 0d18654ac..2a6a8584a 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
@@ -69,6 +69,7 @@
  * EndpointServiceSettings endpointServiceSettings = endpointServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class EndpointServiceSettings extends ClientSettings<EndpointServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
index 7425d2019..8e1a31a45 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
@@ -93,7 +93,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class JobServiceClient implements BackgroundResource {
   private final JobServiceSettings settings;
   private final JobServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
index 3887fa8f6..643c8a2db 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
@@ -71,6 +71,7 @@
  * JobServiceSettings jobServiceSettings = jobServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class JobServiceSettings extends ClientSettings<JobServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
index 5631dc8d4..b1ba9e2d4 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class MigrationServiceClient implements BackgroundResource {
   private final MigrationServiceSettings settings;
   private final MigrationServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
index 37d770f56..8f084e1e6 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
@@ -68,6 +68,7 @@
  * MigrationServiceSettings migrationServiceSettings = migrationServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class MigrationServiceSettings extends ClientSettings<MigrationServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
index 1011361a2..98db0c3b1 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
@@ -94,7 +94,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class ModelServiceClient implements BackgroundResource {
   private final ModelServiceSettings settings;
   private final ModelServiceStub stub;
@@ -338,9 +338,7 @@ public final UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCall
    *
    * @param model Required. The Model which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
-   *     definition, see
-   *     <p>[FieldMask](https: //developers.google.com/protocol-buffers //
-   *     /docs/reference/google.protobuf#fieldmask).
+   *     definition, see [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
   public final Model updateModel(Model model, FieldMask updateMask) {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
index 333a9ee9b..8c7dbb2c3 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
@@ -70,6 +70,7 @@
  * ModelServiceSettings modelServiceSettings = modelServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class ModelServiceSettings extends ClientSettings<ModelServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
index a803a8a6a..d5186847e 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class PipelineServiceClient implements BackgroundResource {
   private final PipelineServiceSettings settings;
   private final PipelineServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
index 9672468ae..4f1e9d135 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
@@ -69,6 +69,7 @@
  * PipelineServiceSettings pipelineServiceSettings = pipelineServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class PipelineServiceSettings extends ClientSettings<PipelineServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
index 88ead5820..292105235 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
@@ -84,7 +84,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class PredictionServiceClient implements BackgroundResource {
   private final PredictionServiceSettings settings;
   private final PredictionServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
index d094cbc0c..403cd46ce 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
@@ -63,6 +63,7 @@
  * PredictionServiceSettings predictionServiceSettings = predictionServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class PredictionServiceSettings extends ClientSettings<PredictionServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
index 8723b96b1..f9039f781 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
@@ -101,7 +101,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class SpecialistPoolServiceClient implements BackgroundResource {
   private final SpecialistPoolServiceSettings settings;
   private final SpecialistPoolServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
index 0f1f1fecc..6ff9a5274 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
@@ -70,6 +70,7 @@
  *     specialistPoolServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class SpecialistPoolServiceSettings extends ClientSettings<SpecialistPoolServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
index 43e242b74..45de98a21 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
@@ -20,6 +20,7 @@
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -55,7 +56,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class DatasetServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
index 72d4c8e7e..77a61562b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -47,7 +48,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class EndpointServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
index 867fbc8b4..131004953 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcDatasetServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
index df5240454..6dcc2963d 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
@@ -20,6 +20,7 @@
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -66,6 +67,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcDatasetServiceStub extends DatasetServiceStub {
   private static final MethodDescriptor<CreateDatasetRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
index 67f8d8310..1433e3b21 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcEndpointServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
index ba20e502a..3c58ca08b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -58,6 +59,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcEndpointServiceStub extends EndpointServiceStub {
   private static final MethodDescriptor<CreateEndpointRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
index d1dcbdaa7..6d7e9dbde 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcJobServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
index 472f4ccd2..467748f17 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
@@ -21,6 +21,7 @@
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -75,6 +76,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcJobServiceStub extends JobServiceStub {
   private static final MethodDescriptor<CreateCustomJobRequest, CustomJob>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
index 3f9dd12b2..035e9aa32 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcMigrationServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
index 4fcb60e3f..839250d8f 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -47,6 +48,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcMigrationServiceStub extends MigrationServiceStub {
   private static final MethodDescriptor<
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
index f56cc2f5f..688783f6f 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcModelServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
index 5684f69a2..e5dcb1a6e 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
@@ -20,6 +20,7 @@
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -66,6 +67,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcModelServiceStub extends ModelServiceStub {
   private static final MethodDescriptor<UploadModelRequest, Operation> uploadModelMethodDescriptor =
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
index c9289b973..a46d4d76b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcPipelineServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
index 84aaf3c5c..2974d20ad 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -51,6 +52,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcPipelineServiceStub extends PipelineServiceStub {
   private static final MethodDescriptor<CreateTrainingPipelineRequest, TrainingPipeline>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
index 62f166cdd..11d610333 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcPredictionServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
index 9835ec3e8..b82d9fd46 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -42,6 +43,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcPredictionServiceStub extends PredictionServiceStub {
   private static final MethodDescriptor<PredictRequest, PredictResponse> predictMethodDescriptor =
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
index ec9ec56bc..c639234c2 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcSpecialistPoolServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
index 3983992be..e406240bb 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -53,6 +54,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcSpecialistPoolServiceStub extends SpecialistPoolServiceStub {
   private static final MethodDescriptor<CreateSpecialistPoolRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
index 2d43a0e8b..35779a161 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
@@ -21,6 +21,7 @@
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -64,7 +65,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class JobServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
index 18d58132f..0838a35d4 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -36,7 +37,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class MigrationServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
index 04ee41e41..a0496db40 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
@@ -20,6 +20,7 @@
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -55,7 +56,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class ModelServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
index f0520c87a..3cba40f35 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -40,7 +41,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class PipelineServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
index 8839170a4..0dc82229b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.UnaryCallable;
 import com.google.cloud.aiplatform.v1beta1.ExplainRequest;
@@ -30,7 +31,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class PredictionServiceStub implements BackgroundResource {
 
   public UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
index 03588d0b4..3a30e42df 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -42,7 +43,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class SpecialistPoolServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
index 3d923f8af..9a2f6acfe 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
@@ -102,6 +102,7 @@ public void createDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -158,6 +159,7 @@ public void createDatasetTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -214,6 +216,7 @@ public void getDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
@@ -259,6 +262,7 @@ public void getDatasetTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
@@ -304,6 +308,7 @@ public void updateDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
index 1e6103e42..fe3690851 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
@@ -101,6 +101,7 @@ public void createEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -158,6 +159,7 @@ public void createEndpointTest2() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -215,6 +217,7 @@ public void getEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
@@ -261,6 +264,7 @@ public void getEndpointTest2() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
@@ -395,6 +399,7 @@ public void updateEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
index 7ffaecaaf..569fb1005 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
@@ -105,6 +105,7 @@ public void createCustomJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -154,6 +155,7 @@ public void createCustomJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -203,6 +205,7 @@ public void getCustomJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -249,6 +252,7 @@ public void getCustomJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -542,6 +546,7 @@ public void createDataLabelingJobTest() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -600,6 +605,7 @@ public void createDataLabelingJobTest2() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -658,6 +664,7 @@ public void getDataLabelingJobTest() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -714,6 +721,7 @@ public void getDataLabelingJobTest2() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -1019,6 +1027,7 @@ public void createHyperparameterTuningJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1079,6 +1088,7 @@ public void createHyperparameterTuningJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1139,6 +1149,7 @@ public void getHyperparameterTuningJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1196,6 +1207,7 @@ public void getHyperparameterTuningJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1510,6 +1522,7 @@ public void createBatchPredictionJobTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1573,6 +1586,7 @@ public void createBatchPredictionJobTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1636,6 +1650,7 @@ public void getBatchPredictionJobTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1698,6 +1713,7 @@ public void getBatchPredictionJobTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
index 51d21228c..3669fffb5 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
@@ -213,6 +213,7 @@ public void getModelTest() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -271,6 +272,7 @@ public void getModelTest2() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -417,6 +419,7 @@ public void updateModelTest() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -645,6 +648,7 @@ public void getModelEvaluationTest() throws Exception {
             .setCreateTime(Timestamp.newBuilder().build())
             .addAllSliceDimensions(new ArrayList<String>())
             .setModelExplanation(ModelExplanation.newBuilder().build())
+            .addAllExplanationSpecs(new ArrayList<ModelEvaluation.ModelEvaluationExplanationSpec>())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -692,6 +696,7 @@ public void getModelEvaluationTest2() throws Exception {
             .setCreateTime(Timestamp.newBuilder().build())
             .addAllSliceDimensions(new ArrayList<String>())
             .setModelExplanation(ModelExplanation.newBuilder().build())
+            .addAllExplanationSpecs(new ArrayList<ModelEvaluation.ModelEvaluationExplanationSpec>())
             .build();
     mockModelService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
index 82c77c18a..2e169dfca 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
@@ -106,6 +106,7 @@ public void createTrainingPipelineTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -162,6 +163,7 @@ public void createTrainingPipelineTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -218,6 +220,7 @@ public void getTrainingPipelineTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -272,6 +275,7 @@ public void getTrainingPipelineTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml b/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
new file mode 100644
index 000000000..c3da7444b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
@@ -0,0 +1,338 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!-- see http://www.mojohaus.org/clirr-maven-plugin/examples/ignored-differences.html -->
+<!-- TODO: remove after next major version is released -->
+<differences>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResults(*)</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResultsCount()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResultsList()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResultsOrBuilder(*)</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResultsOrBuilderList()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecs()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecsCount()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecsList()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecsOrBuilder(*)</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecsOrBuilderList()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getFilter()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getFilterBytes()</method>
+  </difference>
+
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getMeasurementSelectionType()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getMeasurementSelectionTypeValue()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getObservationNoise()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getObservationNoiseValue()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecOverride()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecOverrideOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasExplanationSpecOverride()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecs(*)</method>
+  </difference>
+
+</differences>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
index b3d49aff4..843b0bf65 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
@@ -22,7 +22,7 @@
  *
  *
  * <pre>
- * Paramaters that configure active learning pipeline. Active learning will
+ * Parameters that configure active learning pipeline. Active learning will
  *  label the data incrementally by several iterations. For every iteration, it
  *  will select a batch of data based on the sampling strategy.
  * </pre>
@@ -563,7 +563,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    *  label the data incrementally by several iterations. For every iteration, it
    *  will select a batch of data based on the sampling strategy.
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
index f09ee1f08..cd3cf1562 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
@@ -404,8 +404,8 @@ public int getOutputIndex(int index) {
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-   * predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+   * the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -432,8 +432,8 @@ public java.lang.String getOutputDisplayName() {
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-   * predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+   * the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -465,20 +465,19 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
    * <pre>
    * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
    * explanation method. Lower value means more precise attributions.
-   * * For [Sampled Shapley
-   * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-   * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-   * * For [Integrated Gradients
-   * attribution][ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+   * * For Sampled Shapley
+   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+   * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+   * the error.
+   * * For Integrated Gradients
+   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
    * reduce the error.
-   * * For [XRAI
-   * attribution][ExplanationParameters.xrai_attribution], increasing
-   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-   * Refer to  AI Explanations Whitepaper for more details:
-   * https:
-   * //storage.googleapis.com/cloud-ai-whitep
-   * // apers/AI%20Explainability%20Whitepaper.pdf
+   * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+   * increasing
+   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+   * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+   * for more information.
    * </pre>
    *
    * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1679,8 +1678,8 @@ public Builder clearOutputIndex() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1706,8 +1705,8 @@ public java.lang.String getOutputDisplayName() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1733,8 +1732,8 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1759,8 +1758,8 @@ public Builder setOutputDisplayName(java.lang.String value) {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1781,8 +1780,8 @@ public Builder clearOutputDisplayName() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1812,20 +1811,19 @@ public Builder setOutputDisplayNameBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For [Sampled Shapley
-     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-     * * For [Integrated Gradients
-     * attribution][ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+     * * For Sampled Shapley
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+     * the error.
+     * * For Integrated Gradients
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
      * reduce the error.
-     * * For [XRAI
-     * attribution][ExplanationParameters.xrai_attribution], increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-     * Refer to  AI Explanations Whitepaper for more details:
-     * https:
-     * //storage.googleapis.com/cloud-ai-whitep
-     * // apers/AI%20Explainability%20Whitepaper.pdf
+     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+     * for more information.
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1842,20 +1840,19 @@ public double getApproximationError() {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For [Sampled Shapley
-     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-     * * For [Integrated Gradients
-     * attribution][ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+     * * For Sampled Shapley
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+     * the error.
+     * * For Integrated Gradients
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
      * reduce the error.
-     * * For [XRAI
-     * attribution][ExplanationParameters.xrai_attribution], increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-     * Refer to  AI Explanations Whitepaper for more details:
-     * https:
-     * //storage.googleapis.com/cloud-ai-whitep
-     * // apers/AI%20Explainability%20Whitepaper.pdf
+     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+     * for more information.
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1875,20 +1872,19 @@ public Builder setApproximationError(double value) {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For [Sampled Shapley
-     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-     * * For [Integrated Gradients
-     * attribution][ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+     * * For Sampled Shapley
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+     * the error.
+     * * For Integrated Gradients
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
      * reduce the error.
-     * * For [XRAI
-     * attribution][ExplanationParameters.xrai_attribution], increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-     * Refer to  AI Explanations Whitepaper for more details:
-     * https:
-     * //storage.googleapis.com/cloud-ai-whitep
-     * // apers/AI%20Explainability%20Whitepaper.pdf
+     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+     * for more information.
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
index 48bc07ced..3dc3f1e63 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
@@ -214,8 +214,8 @@ public interface AttributionOrBuilder
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-   * predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+   * the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -231,8 +231,8 @@ public interface AttributionOrBuilder
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-   * predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+   * the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -251,20 +251,19 @@ public interface AttributionOrBuilder
    * <pre>
    * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
    * explanation method. Lower value means more precise attributions.
-   * * For [Sampled Shapley
-   * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-   * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-   * * For [Integrated Gradients
-   * attribution][ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+   * * For Sampled Shapley
+   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+   * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+   * the error.
+   * * For Integrated Gradients
+   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
    * reduce the error.
-   * * For [XRAI
-   * attribution][ExplanationParameters.xrai_attribution], increasing
-   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-   * Refer to  AI Explanations Whitepaper for more details:
-   * https:
-   * //storage.googleapis.com/cloud-ai-whitep
-   * // apers/AI%20Explainability%20Whitepaper.pdf
+   * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+   * increasing
+   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+   * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+   * for more information.
    * </pre>
    *
    * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
index e8c8039c3..dbfb12ec4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
@@ -39,7 +39,9 @@ private BatchMigrateResourcesOperationMetadata(
     super(builder);
   }
 
-  private BatchMigrateResourcesOperationMetadata() {}
+  private BatchMigrateResourcesOperationMetadata() {
+    partialResults_ = java.util.Collections.emptyList();
+  }
 
   @java.lang.Override
   @SuppressWarnings({"unused"})
@@ -60,6 +62,7 @@ private BatchMigrateResourcesOperationMetadata(
     if (extensionRegistry == null) {
       throw new java.lang.NullPointerException();
     }
+    int mutable_bitField0_ = 0;
     com.google.protobuf.UnknownFieldSet.Builder unknownFields =
         com.google.protobuf.UnknownFieldSet.newBuilder();
     try {
@@ -88,6 +91,22 @@ private BatchMigrateResourcesOperationMetadata(
 
               break;
             }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                partialResults_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                            .PartialResult>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              partialResults_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                          .PartialResult.parser(),
+                      extensionRegistry));
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -102,6 +121,9 @@ private BatchMigrateResourcesOperationMetadata(
     } catch (java.io.IOException e) {
       throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
     } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        partialResults_ = java.util.Collections.unmodifiableList(partialResults_);
+      }
       this.unknownFields = unknownFields.build();
       makeExtensionsImmutable();
     }
@@ -123,53 +145,1861 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
                 .class);
   }
 
-  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
-  private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
+  public interface PartialResultOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return Whether the error field is set.
+     */
+    boolean hasError();
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return The error.
+     */
+    com.google.rpc.Status getError();
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     */
+    com.google.rpc.StatusOrBuilder getErrorOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    java.lang.String getModel();
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    com.google.protobuf.ByteString getModelBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    java.lang.String getDataset();
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    com.google.protobuf.ByteString getDatasetBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return Whether the request field is set.
+     */
+    boolean hasRequest();
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return The request.
+     */
+    com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest getRequest();
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     */
+    com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder getRequestOrBuilder();
+
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .ResultCase
+        getResultCase();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a partial result in batch migration opreation for one
+   * [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult}
+   */
+  public static final class PartialResult extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+      PartialResultOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use PartialResult.newBuilder() to construct.
+    private PartialResult(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private PartialResult() {}
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new PartialResult();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private PartialResult(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder subBuilder =
+                    null;
+                if (request_ != null) {
+                  subBuilder = request_.toBuilder();
+                }
+                request_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(request_);
+                  request_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+            case 18:
+              {
+                com.google.rpc.Status.Builder subBuilder = null;
+                if (resultCase_ == 2) {
+                  subBuilder = ((com.google.rpc.Status) result_).toBuilder();
+                }
+                result_ = input.readMessage(com.google.rpc.Status.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom((com.google.rpc.Status) result_);
+                  result_ = subBuilder.buildPartial();
+                }
+                resultCase_ = 2;
+                break;
+              }
+            case 26:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                resultCase_ = 3;
+                result_ = s;
+                break;
+              }
+            case 34:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                resultCase_ = 4;
+                result_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResult.class,
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResult.Builder.class);
+    }
+
+    private int resultCase_ = 0;
+    private java.lang.Object result_;
+
+    public enum ResultCase
+        implements
+            com.google.protobuf.Internal.EnumLite,
+            com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+      ERROR(2),
+      MODEL(3),
+      DATASET(4),
+      RESULT_NOT_SET(0);
+      private final int value;
+
+      private ResultCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @param value The number of the enum to look for.
+       * @return The enum associated with the given number.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static ResultCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static ResultCase forNumber(int value) {
+        switch (value) {
+          case 2:
+            return ERROR;
+          case 3:
+            return MODEL;
+          case 4:
+            return DATASET;
+          case 0:
+            return RESULT_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public ResultCase getResultCase() {
+      return ResultCase.forNumber(resultCase_);
+    }
+
+    public static final int ERROR_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return Whether the error field is set.
+     */
+    @java.lang.Override
+    public boolean hasError() {
+      return resultCase_ == 2;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return The error.
+     */
+    @java.lang.Override
+    public com.google.rpc.Status getError() {
+      if (resultCase_ == 2) {
+        return (com.google.rpc.Status) result_;
+      }
+      return com.google.rpc.Status.getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     */
+    @java.lang.Override
+    public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+      if (resultCase_ == 2) {
+        return (com.google.rpc.Status) result_;
+      }
+      return com.google.rpc.Status.getDefaultInstance();
+    }
+
+    public static final int MODEL_FIELD_NUMBER = 3;
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    public java.lang.String getModel() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 3) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (resultCase_ == 3) {
+          result_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    public com.google.protobuf.ByteString getModelBytes() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 3) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (resultCase_ == 3) {
+          result_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DATASET_FIELD_NUMBER = 4;
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    public java.lang.String getDataset() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 4) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (resultCase_ == 4) {
+          result_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    public com.google.protobuf.ByteString getDatasetBytes() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 4) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (resultCase_ == 4) {
+          result_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int REQUEST_FIELD_NUMBER = 1;
+    private com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request_;
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return Whether the request field is set.
+     */
+    @java.lang.Override
+    public boolean hasRequest() {
+      return request_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return The request.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest getRequest() {
+      return request_ == null
+          ? com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.getDefaultInstance()
+          : request_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder
+        getRequestOrBuilder() {
+      return getRequest();
+    }
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+    public boolean equals(final java.lang.Object obj) {
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+      if (!(obj
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+
+      if (hasRequest() != other.hasRequest()) return false;
+      if (hasRequest()) {
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+      switch (resultCase_) {
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+          break;
+        case 4:
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+          break;
+        case 0:
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+      return true;
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+    public int hashCode() {
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+      int hash = 41;
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+          hash = (53 * hash) + getModel().hashCode();
+          break;
+        case 4:
+          hash = (37 * hash) + DATASET_FIELD_NUMBER;
+          hash = (53 * hash) + getDataset().hashCode();
+          break;
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+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
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+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
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+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents a partial result in batch migration opreation for one
+     * [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResultOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+      }
+
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+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
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+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResult.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
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+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
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+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        if (requestBuilder_ == null) {
+          request_ = null;
+        } else {
+          request_ = null;
+          requestBuilder_ = null;
+        }
+        resultCase_ = 0;
+        result_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+              .PartialResult
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult.getDefaultInstance();
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+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+              .PartialResult
+          build() {
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+              .PartialResult
+          buildPartial() {
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
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+                    .PartialResult(this);
+        if (resultCase_ == 2) {
+          if (errorBuilder_ == null) {
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+          } else {
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+        onBuilt();
+        return result;
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+      @java.lang.Override
+      public Builder clone() {
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+      @java.lang.Override
+      public Builder setField(
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+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
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+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+      @java.lang.Override
+      public Builder setRepeatedField(
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+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
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+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
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+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                      .PartialResult)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+              other) {
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+        switch (other.getResultCase()) {
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+              break;
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+          case MODEL:
+            {
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+              result_ = other.result_;
+              onChanged();
+              break;
+            }
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+              result_ = other.result_;
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+        onChanged();
+        return this;
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+      @java.lang.Override
+      public final boolean isInitialized() {
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+
+      @java.lang.Override
+      public Builder mergeFrom(
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+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            parsedMessage = null;
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+
+      private int resultCase_ = 0;
+      private java.lang.Object result_;
+
+      public ResultCase getResultCase() {
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+
+      public Builder clearResult() {
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+        result_ = null;
+        onChanged();
+        return this;
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+
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+              com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
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+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       *
+       * @return Whether the error field is set.
+       */
+      @java.lang.Override
+      public boolean hasError() {
+        return resultCase_ == 2;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       *
+       * @return The error.
+       */
+      @java.lang.Override
+      public com.google.rpc.Status getError() {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2) {
+            return (com.google.rpc.Status) result_;
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        } else {
+          if (resultCase_ == 2) {
+            return errorBuilder_.getMessage();
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder setError(com.google.rpc.Status value) {
+        if (errorBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          result_ = value;
+          onChanged();
+        } else {
+          errorBuilder_.setMessage(value);
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder setError(com.google.rpc.Status.Builder builderForValue) {
+        if (errorBuilder_ == null) {
+          result_ = builderForValue.build();
+          onChanged();
+        } else {
+          errorBuilder_.setMessage(builderForValue.build());
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder mergeError(com.google.rpc.Status value) {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2 && result_ != com.google.rpc.Status.getDefaultInstance()) {
+            result_ =
+                com.google.rpc.Status.newBuilder((com.google.rpc.Status) result_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            result_ = value;
+          }
+          onChanged();
+        } else {
+          if (resultCase_ == 2) {
+            errorBuilder_.mergeFrom(value);
+          }
+          errorBuilder_.setMessage(value);
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder clearError() {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2) {
+            resultCase_ = 0;
+            result_ = null;
+            onChanged();
+          }
+        } else {
+          if (resultCase_ == 2) {
+            resultCase_ = 0;
+            result_ = null;
+          }
+          errorBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public com.google.rpc.Status.Builder getErrorBuilder() {
+        return getErrorFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      @java.lang.Override
+      public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+        if ((resultCase_ == 2) && (errorBuilder_ != null)) {
+          return errorBuilder_.getMessageOrBuilder();
+        } else {
+          if (resultCase_ == 2) {
+            return (com.google.rpc.Status) result_;
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+          getErrorFieldBuilder() {
+        if (errorBuilder_ == null) {
+          if (!(resultCase_ == 2)) {
+            result_ = com.google.rpc.Status.getDefaultInstance();
+          }
+          errorBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.rpc.Status,
+                  com.google.rpc.Status.Builder,
+                  com.google.rpc.StatusOrBuilder>(
+                  (com.google.rpc.Status) result_, getParentForChildren(), isClean());
+          result_ = null;
+        }
+        resultCase_ = 2;
+        onChanged();
+        ;
+        return errorBuilder_;
+      }
+
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The model.
+       */
+      @java.lang.Override
+      public java.lang.String getModel() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 3) {
+          ref = result_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (resultCase_ == 3) {
+            result_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for model.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getModelBytes() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 3) {
+          ref = result_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (resultCase_ == 3) {
+            result_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModel(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resultCase_ = 3;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModel() {
+        if (resultCase_ == 3) {
+          resultCase_ = 0;
+          result_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        resultCase_ = 3;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The dataset.
+       */
+      @java.lang.Override
+      public java.lang.String getDataset() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 4) {
+          ref = result_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (resultCase_ == 4) {
+            result_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for dataset.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getDatasetBytes() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 4) {
+          ref = result_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (resultCase_ == 4) {
+            result_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resultCase_ = 4;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDataset() {
+        if (resultCase_ == 4) {
+          resultCase_ = 0;
+          result_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        resultCase_ = 4;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest,
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder,
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder>
+          requestBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       *
+       * @return Whether the request field is set.
+       */
+      public boolean hasRequest() {
+        return requestBuilder_ != null || request_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       *
+       * @return The request.
+       */
+      public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest getRequest() {
+        if (requestBuilder_ == null) {
+          return request_ == null
+              ? com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.getDefaultInstance()
+              : request_;
+        } else {
+          return requestBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder setRequest(com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest value) {
+        if (requestBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          request_ = value;
+          onChanged();
+        } else {
+          requestBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder setRequest(
+          com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder builderForValue) {
+        if (requestBuilder_ == null) {
+          request_ = builderForValue.build();
+          onChanged();
+        } else {
+          requestBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder mergeRequest(
+          com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest value) {
+        if (requestBuilder_ == null) {
+          if (request_ != null) {
+            request_ =
+                com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.newBuilder(request_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            request_ = value;
+          }
+          onChanged();
+        } else {
+          requestBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder clearRequest() {
+        if (requestBuilder_ == null) {
+          request_ = null;
+          onChanged();
+        } else {
+          request_ = null;
+          requestBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder
+          getRequestBuilder() {
+
+        onChanged();
+        return getRequestFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder
+          getRequestOrBuilder() {
+        if (requestBuilder_ != null) {
+          return requestBuilder_.getMessageOrBuilder();
+        } else {
+          return request_ == null
+              ? com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.getDefaultInstance()
+              : request_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest,
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder,
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder>
+          getRequestFieldBuilder() {
+        if (requestBuilder_ == null) {
+          requestBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest,
+                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder,
+                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder>(
+                  getRequest(), getParentForChildren(), isClean());
+          request_ = null;
+        }
+        return requestBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+    private static final com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+              .PartialResult();
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<PartialResult> PARSER =
+        new com.google.protobuf.AbstractParser<PartialResult>() {
+          @java.lang.Override
+          public PartialResult parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new PartialResult(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<PartialResult> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<PartialResult> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  public static final int PARTIAL_RESULTS_FIELD_NUMBER = 2;
+  private java.util.List<
+          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      partialResults_;
   /**
    *
    *
    * <pre>
-   * The common part of the operation metadata.
+   * Partial results that reflects the latest migration operation progress.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      getPartialResultsList() {
+    return partialResults_;
+  }
+  /**
    *
-   * @return Whether the genericMetadata field is set.
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
    */
   @java.lang.Override
-  public boolean hasGenericMetadata() {
-    return genericMetadata_ != null;
+  public java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResultOrBuilder>
+      getPartialResultsOrBuilderList() {
+    return partialResults_;
   }
   /**
    *
    *
    * <pre>
-   * The common part of the operation metadata.
+   * Partial results that reflects the latest migration operation progress.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public int getPartialResultsCount() {
+    return partialResults_.size();
+  }
+  /**
    *
-   * @return The genericMetadata.
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
    */
   @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata getGenericMetadata() {
-    return genericMetadata_ == null
-        ? com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.getDefaultInstance()
-        : genericMetadata_;
+  public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+      getPartialResults(int index) {
+    return partialResults_.get(index);
   }
   /**
    *
    *
    * <pre>
-   * The common part of the operation metadata.
+   * Partial results that reflects the latest migration operation progress.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
    */
   @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
-      getGenericMetadataOrBuilder() {
-    return getGenericMetadata();
+  public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+          .PartialResultOrBuilder
+      getPartialResultsOrBuilder(int index) {
+    return partialResults_.get(index);
   }
 
   private byte memoizedIsInitialized = -1;
@@ -189,6 +2019,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (genericMetadata_ != null) {
       output.writeMessage(1, getGenericMetadata());
     }
+    for (int i = 0; i < partialResults_.size(); i++) {
+      output.writeMessage(2, partialResults_.get(i));
+    }
     unknownFields.writeTo(output);
   }
 
@@ -201,6 +2034,9 @@ public int getSerializedSize() {
     if (genericMetadata_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
     }
+    for (int i = 0; i < partialResults_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, partialResults_.get(i));
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -222,6 +2058,7 @@ public boolean equals(final java.lang.Object obj) {
     if (hasGenericMetadata()) {
       if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
     }
+    if (!getPartialResultsList().equals(other.getPartialResultsList())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -237,6 +2074,10 @@ public int hashCode() {
       hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
       hash = (53 * hash) + getGenericMetadata().hashCode();
     }
+    if (getPartialResultsCount() > 0) {
+      hash = (37 * hash) + PARTIAL_RESULTS_FIELD_NUMBER;
+      hash = (53 * hash) + getPartialResultsList().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -385,7 +2226,9 @@ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
     }
 
     private void maybeForceBuilderInitialization() {
-      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getPartialResultsFieldBuilder();
+      }
     }
 
     @java.lang.Override
@@ -397,6 +2240,12 @@ public Builder clear() {
         genericMetadata_ = null;
         genericMetadataBuilder_ = null;
       }
+      if (partialResultsBuilder_ == null) {
+        partialResults_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        partialResultsBuilder_.clear();
+      }
       return this;
     }
 
@@ -428,11 +2277,21 @@ public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadat
         buildPartial() {
       com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata result =
           new com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata(this);
+      int from_bitField0_ = bitField0_;
       if (genericMetadataBuilder_ == null) {
         result.genericMetadata_ = genericMetadata_;
       } else {
         result.genericMetadata_ = genericMetadataBuilder_.build();
       }
+      if (partialResultsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          partialResults_ = java.util.Collections.unmodifiableList(partialResults_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.partialResults_ = partialResults_;
+      } else {
+        result.partialResults_ = partialResultsBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -490,6 +2349,33 @@ public Builder mergeFrom(
       if (other.hasGenericMetadata()) {
         mergeGenericMetadata(other.getGenericMetadata());
       }
+      if (partialResultsBuilder_ == null) {
+        if (!other.partialResults_.isEmpty()) {
+          if (partialResults_.isEmpty()) {
+            partialResults_ = other.partialResults_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensurePartialResultsIsMutable();
+            partialResults_.addAll(other.partialResults_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.partialResults_.isEmpty()) {
+          if (partialResultsBuilder_.isEmpty()) {
+            partialResultsBuilder_.dispose();
+            partialResultsBuilder_ = null;
+            partialResults_ = other.partialResults_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            partialResultsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getPartialResultsFieldBuilder()
+                    : null;
+          } else {
+            partialResultsBuilder_.addAllMessages(other.partialResults_);
+          }
+        }
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -522,6 +2408,8 @@ public Builder mergeFrom(
       return this;
     }
 
+    private int bitField0_;
+
     private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata,
@@ -713,6 +2601,451 @@ public Builder clearGenericMetadata() {
       return genericMetadataBuilder_;
     }
 
+    private java.util.List<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult>
+        partialResults_ = java.util.Collections.emptyList();
+
+    private void ensurePartialResultsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        partialResults_ =
+            new java.util.ArrayList<
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResult>(partialResults_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResultOrBuilder>
+        partialResultsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult>
+        getPartialResultsList() {
+      if (partialResultsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(partialResults_);
+      } else {
+        return partialResultsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public int getPartialResultsCount() {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.size();
+      } else {
+        return partialResultsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+        getPartialResults(int index) {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.get(index);
+      } else {
+        return partialResultsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder setPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.set(index, value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder setPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.add(value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.add(index, value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.add(builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addAllPartialResults(
+        java.lang.Iterable<
+                ? extends
+                    com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                        .PartialResult>
+            values) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, partialResults_);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder clearPartialResults() {
+      if (partialResultsBuilder_ == null) {
+        partialResults_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        partialResultsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder removePartialResults(int index) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.remove(index);
+        onChanged();
+      } else {
+        partialResultsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        getPartialResultsBuilder(int index) {
+      return getPartialResultsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResultOrBuilder
+        getPartialResultsOrBuilder(int index) {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.get(index);
+      } else {
+        return partialResultsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResultOrBuilder>
+        getPartialResultsOrBuilderList() {
+      if (partialResultsBuilder_ != null) {
+        return partialResultsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(partialResults_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        addPartialResultsBuilder() {
+      return getPartialResultsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResult.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        addPartialResultsBuilder(int index) {
+      return getPartialResultsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResult.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder>
+        getPartialResultsBuilderList() {
+      return getPartialResultsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResultOrBuilder>
+        getPartialResultsFieldBuilder() {
+      if (partialResultsBuilder_ == null) {
+        partialResultsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResult,
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResult.Builder,
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResultOrBuilder>(
+                partialResults_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        partialResults_ = null;
+      }
+      return partialResultsBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
index 27c36f4e1..b613cd4c8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
@@ -58,4 +58,73 @@ public interface BatchMigrateResourcesOperationMetadataOrBuilder
    */
   com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
       getGenericMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  java.util.List<
+          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      getPartialResultsList();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+      getPartialResults(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  int getPartialResultsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResultOrBuilder>
+      getPartialResultsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResultOrBuilder
+      getPartialResultsOrBuilder(int index);
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
index 82a4704aa..ce4996373 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
@@ -344,6 +344,23 @@ private BatchPredictionJob(
           case 184:
             {
               generateExplanation_ = input.readBool();
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           case 202:
@@ -420,7 +437,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -432,7 +449,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -444,7 +461,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -713,7 +730,7 @@ public SourceCase getSourceCase() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -728,7 +745,7 @@ public boolean hasGcsSource() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -746,7 +763,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource getGcsSource() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1304,7 +1321,7 @@ public Builder clearSource() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1319,7 +1336,7 @@ public boolean hasGcsSource() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1344,7 +1361,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource getGcsSource() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1366,7 +1383,7 @@ public Builder setGcsSource(com.google.cloud.aiplatform.v1beta1.GcsSource value)
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1386,7 +1403,7 @@ public Builder setGcsSource(
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1417,7 +1434,7 @@ public Builder mergeGcsSource(com.google.cloud.aiplatform.v1beta1.GcsSource valu
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1442,7 +1459,7 @@ public Builder clearGcsSource() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1454,7 +1471,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource.Builder getGcsSourceBuilder
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1474,7 +1491,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuil
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1931,7 +1948,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -1963,7 +1980,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -1995,7 +2012,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2328,7 +2345,7 @@ public DestinationCase getDestinationCase() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2363,7 +2380,7 @@ public boolean hasGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2401,7 +2418,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3020,7 +3037,7 @@ public Builder clearDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3055,7 +3072,7 @@ public boolean hasGcsDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3100,7 +3117,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3142,7 +3159,7 @@ public Builder setGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestinat
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3182,7 +3199,7 @@ public Builder setGcsDestination(
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3234,7 +3251,7 @@ public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestin
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3279,7 +3296,7 @@ public Builder clearGcsDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3311,7 +3328,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3352,7 +3369,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3950,7 +3967,7 @@ public interface OutputInfoOrBuilder
      *
      *
      * <pre>
-     * Output only. The full path of the Google Cloud Storage directory created, into which
+     * Output only. The full path of the Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -3963,7 +3980,7 @@ public interface OutputInfoOrBuilder
      *
      *
      * <pre>
-     * Output only. The full path of the Google Cloud Storage directory created, into which
+     * Output only. The full path of the Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4156,7 +4173,7 @@ public OutputLocationCase getOutputLocationCase() {
      *
      *
      * <pre>
-     * Output only. The full path of the Google Cloud Storage directory created, into which
+     * Output only. The full path of the Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4184,7 +4201,7 @@ public java.lang.String getGcsOutputDirectory() {
      *
      *
      * <pre>
-     * Output only. The full path of the Google Cloud Storage directory created, into which
+     * Output only. The full path of the Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4667,7 +4684,7 @@ public Builder clearOutputLocation() {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4696,7 +4713,7 @@ public java.lang.String getGcsOutputDirectory() {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4725,7 +4742,7 @@ public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4747,7 +4764,7 @@ public Builder setGcsOutputDirectory(java.lang.String value) {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4767,7 +4784,7 @@ public Builder clearGcsOutputDirectory() {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -5463,15 +5480,18 @@ public boolean hasManualBatchTuningParameters() {
    *
    *
    * <pre>
-   * Generate explanation along with the batch prediction results.
-   * When it's true, the batch prediction output will change based on the
-   * [output format][BatchPredictionJob.output_config.predictions_format]:
-   *  * `bigquery`: output will include a column named `explanation`. The value
+   * Generate explanation with the batch prediction results.
+   * When set to `true`, the batch prediction output changes based on the
+   * `predictions_format` field of the
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+   *  * `bigquery`: output includes a column named `explanation`. The value
    *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-   *  * `jsonl`: The JSON objects on each line will include an additional entry
+   *  * `jsonl`: The JSON objects on each line include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
    *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `csv`: Generating explanations for CSV format is not supported.
+   * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+   * populated.
    * </pre>
    *
    * <code>bool generate_explanation = 23;</code>
@@ -5489,15 +5509,12 @@ public boolean getGenerateExplanation() {
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -5512,15 +5529,12 @@ public boolean hasExplanationSpec() {
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -5537,15 +5551,12 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -6232,6 +6243,60 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 24;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -6305,6 +6370,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (generateExplanation_ != false) {
       output.writeBool(23, generateExplanation_);
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(24, getEncryptionSpec());
+    }
     if (explanationSpec_ != null) {
       output.writeMessage(25, getExplanationSpec());
     }
@@ -6386,6 +6454,9 @@ public int getSerializedSize() {
     if (generateExplanation_ != false) {
       size += com.google.protobuf.CodedOutputStream.computeBoolSize(23, generateExplanation_);
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(24, getEncryptionSpec());
+    }
     if (explanationSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(25, getExplanationSpec());
     }
@@ -6469,6 +6540,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -6554,6 +6629,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -6826,6 +6905,12 @@ public Builder clear() {
         updateTimeBuilder_ = null;
       }
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -6940,6 +7025,11 @@ public com.google.cloud.aiplatform.v1beta1.BatchPredictionJob buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -7078,6 +7168,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.BatchPredictionJob
         mergeUpdateTime(other.getUpdateTime());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -8658,15 +8751,18 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * <pre>
-     * Generate explanation along with the batch prediction results.
-     * When it's true, the batch prediction output will change based on the
-     * [output format][BatchPredictionJob.output_config.predictions_format]:
-     *  * `bigquery`: output will include a column named `explanation`. The value
+     * Generate explanation with the batch prediction results.
+     * When set to `true`, the batch prediction output changes based on the
+     * `predictions_format` field of the
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     *  * `bigquery`: output includes a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line will include an additional entry
+     *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
+     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8681,15 +8777,18 @@ public boolean getGenerateExplanation() {
      *
      *
      * <pre>
-     * Generate explanation along with the batch prediction results.
-     * When it's true, the batch prediction output will change based on the
-     * [output format][BatchPredictionJob.output_config.predictions_format]:
-     *  * `bigquery`: output will include a column named `explanation`. The value
+     * Generate explanation with the batch prediction results.
+     * When set to `true`, the batch prediction output changes based on the
+     * `predictions_format` field of the
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     *  * `bigquery`: output includes a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line will include an additional entry
+     *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
+     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8707,15 +8806,18 @@ public Builder setGenerateExplanation(boolean value) {
      *
      *
      * <pre>
-     * Generate explanation along with the batch prediction results.
-     * When it's true, the batch prediction output will change based on the
-     * [output format][BatchPredictionJob.output_config.predictions_format]:
-     *  * `bigquery`: output will include a column named `explanation`. The value
+     * Generate explanation with the batch prediction results.
+     * When set to `true`, the batch prediction output changes based on the
+     * `predictions_format` field of the
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     *  * `bigquery`: output includes a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line will include an additional entry
+     *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
+     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8739,15 +8841,12 @@ public Builder clearGenerateExplanation() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8761,15 +8860,12 @@ public boolean hasExplanationSpec() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8789,15 +8885,12 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8819,15 +8912,12 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8847,15 +8937,12 @@ public Builder setExplanationSpec(
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8881,15 +8968,12 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8909,15 +8993,12 @@ public Builder clearExplanationSpec() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8931,15 +9012,12 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8958,15 +9036,12 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -11354,6 +11429,211 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
index 98a1d0819..bb249963f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
@@ -369,15 +369,18 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Generate explanation along with the batch prediction results.
-   * When it's true, the batch prediction output will change based on the
-   * [output format][BatchPredictionJob.output_config.predictions_format]:
-   *  * `bigquery`: output will include a column named `explanation`. The value
+   * Generate explanation with the batch prediction results.
+   * When set to `true`, the batch prediction output changes based on the
+   * `predictions_format` field of the
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+   *  * `bigquery`: output includes a column named `explanation`. The value
    *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-   *  * `jsonl`: The JSON objects on each line will include an additional entry
+   *  * `jsonl`: The JSON objects on each line include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
    *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `csv`: Generating explanations for CSV format is not supported.
+   * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+   * populated.
    * </pre>
    *
    * <code>bool generate_explanation = 23;</code>
@@ -390,15 +393,12 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -410,15 +410,12 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -430,15 +427,12 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -955,4 +949,45 @@ public interface BatchPredictionJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 19;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
index fb08c35ec..afffd8030 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
@@ -61,72 +61,75 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "tform.v1beta1\032\037google/api/field_behavior"
           + ".proto\032\031google/api/resource.proto\0326googl"
           + "e/cloud/aiplatform/v1beta1/completion_st"
-          + "ats.proto\0321google/cloud/aiplatform/v1bet"
-          + "a1/explanation.proto\032(google/cloud/aipla"
-          + "tform/v1beta1/io.proto\032/google/cloud/aip"
-          + "latform/v1beta1/job_state.proto\0327google/"
-          + "cloud/aiplatform/v1beta1/machine_resourc"
-          + "es.proto\032Dgoogle/cloud/aiplatform/v1beta"
-          + "1/manual_batch_tuning_parameters.proto\032\034"
-          + "google/protobuf/struct.proto\032\037google/pro"
-          + "tobuf/timestamp.proto\032\027google/rpc/status"
-          + ".proto\032\034google/api/annotations.proto\"\241\020\n"
-          + "\022BatchPredictionJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031"
-          + "\n\014display_name\030\002 \001(\tB\003\340A\002\0226\n\005model\030\003 \001(\t"
-          + "B\'\340A\002\372A!\n\037aiplatform.googleapis.com/Mode"
-          + "l\022Z\n\014input_config\030\004 \001(\0132?.google.cloud.a"
-          + "iplatform.v1beta1.BatchPredictionJob.Inp"
-          + "utConfigB\003\340A\002\0220\n\020model_parameters\030\005 \001(\0132"
-          + "\026.google.protobuf.Value\022\\\n\routput_config"
-          + "\030\006 \001(\0132@.google.cloud.aiplatform.v1beta1"
-          + ".BatchPredictionJob.OutputConfigB\003\340A\002\022U\n"
-          + "\023dedicated_resources\030\007 \001(\01328.google.clou"
-          + "d.aiplatform.v1beta1.BatchDedicatedResou"
-          + "rces\022i\n\036manual_batch_tuning_parameters\030\010"
-          + " \001(\0132<.google.cloud.aiplatform.v1beta1.M"
-          + "anualBatchTuningParametersB\003\340A\005\022\034\n\024gener"
-          + "ate_explanation\030\027 \001(\010\022J\n\020explanation_spe"
-          + "c\030\031 \001(\01320.google.cloud.aiplatform.v1beta"
-          + "1.ExplanationSpec\022X\n\013output_info\030\t \001(\0132>"
+          + "ats.proto\0325google/cloud/aiplatform/v1bet"
+          + "a1/encryption_spec.proto\0321google/cloud/a"
+          + "iplatform/v1beta1/explanation.proto\032(goo"
+          + "gle/cloud/aiplatform/v1beta1/io.proto\032/g"
+          + "oogle/cloud/aiplatform/v1beta1/job_state"
+          + ".proto\0327google/cloud/aiplatform/v1beta1/"
+          + "machine_resources.proto\032Dgoogle/cloud/ai"
+          + "platform/v1beta1/manual_batch_tuning_par"
+          + "ameters.proto\032\034google/protobuf/struct.pr"
+          + "oto\032\037google/protobuf/timestamp.proto\032\027go"
+          + "ogle/rpc/status.proto\032\034google/api/annota"
+          + "tions.proto\"\353\020\n\022BatchPredictionJob\022\021\n\004na"
+          + "me\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002"
+          + "\0226\n\005model\030\003 \001(\tB\'\340A\002\372A!\n\037aiplatform.goog"
+          + "leapis.com/Model\022Z\n\014input_config\030\004 \001(\0132?"
           + ".google.cloud.aiplatform.v1beta1.BatchPr"
-          + "edictionJob.OutputInfoB\003\340A\003\022=\n\005state\030\n \001"
-          + "(\0162).google.cloud.aiplatform.v1beta1.Job"
-          + "StateB\003\340A\003\022&\n\005error\030\013 \001(\0132\022.google.rpc.S"
-          + "tatusB\003\340A\003\0221\n\020partial_failures\030\014 \003(\0132\022.g"
-          + "oogle.rpc.StatusB\003\340A\003\022S\n\022resources_consu"
-          + "med\030\r \001(\01322.google.cloud.aiplatform.v1be"
-          + "ta1.ResourcesConsumedB\003\340A\003\022O\n\020completion"
-          + "_stats\030\016 \001(\01320.google.cloud.aiplatform.v"
-          + "1beta1.CompletionStatsB\003\340A\003\0224\n\013create_ti"
-          + "me\030\017 \001(\0132\032.google.protobuf.TimestampB\003\340A"
-          + "\003\0223\n\nstart_time\030\020 \001(\0132\032.google.protobuf."
-          + "TimestampB\003\340A\003\0221\n\010end_time\030\021 \001(\0132\032.googl"
-          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
-          + "\030\022 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
-          + "O\n\006labels\030\023 \003(\0132?.google.cloud.aiplatfor"
-          + "m.v1beta1.BatchPredictionJob.LabelsEntry"
-          + "\032\304\001\n\013InputConfig\022@\n\ngcs_source\030\002 \001(\0132*.g"
-          + "oogle.cloud.aiplatform.v1beta1.GcsSource"
-          + "H\000\022J\n\017bigquery_source\030\003 \001(\0132/.google.clo"
-          + "ud.aiplatform.v1beta1.BigQuerySourceH\000\022\035"
-          + "\n\020instances_format\030\001 \001(\tB\003\340A\002B\010\n\006source\032"
-          + "\340\001\n\014OutputConfig\022J\n\017gcs_destination\030\002 \001("
-          + "\0132/.google.cloud.aiplatform.v1beta1.GcsD"
-          + "estinationH\000\022T\n\024bigquery_destination\030\003 \001"
-          + "(\01324.google.cloud.aiplatform.v1beta1.Big"
-          + "QueryDestinationH\000\022\037\n\022predictions_format"
-          + "\030\001 \001(\tB\003\340A\002B\r\n\013destination\032l\n\nOutputInfo"
-          + "\022#\n\024gcs_output_directory\030\001 \001(\tB\003\340A\003H\000\022&\n"
-          + "\027bigquery_output_dataset\030\002 \001(\tB\003\340A\003H\000B\021\n"
-          + "\017output_location\032-\n\013LabelsEntry\022\013\n\003key\030\001"
-          + " \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\206\001\352A\202\001\n,aiplatfo"
-          + "rm.googleapis.com/BatchPredictionJob\022Rpr"
-          + "ojects/{project}/locations/{location}/ba"
-          + "tchPredictionJobs/{batch_prediction_job}"
-          + "B\213\001\n#com.google.cloud.aiplatform.v1beta1"
-          + "B\027BatchPredictionJobProtoP\001ZIgoogle.gola"
-          + "ng.org/genproto/googleapis/cloud/aiplatf"
-          + "orm/v1beta1;aiplatformb\006proto3"
+          + "edictionJob.InputConfigB\003\340A\002\0220\n\020model_pa"
+          + "rameters\030\005 \001(\0132\026.google.protobuf.Value\022\\"
+          + "\n\routput_config\030\006 \001(\0132@.google.cloud.aip"
+          + "latform.v1beta1.BatchPredictionJob.Outpu"
+          + "tConfigB\003\340A\002\022U\n\023dedicated_resources\030\007 \001("
+          + "\01328.google.cloud.aiplatform.v1beta1.Batc"
+          + "hDedicatedResources\022i\n\036manual_batch_tuni"
+          + "ng_parameters\030\010 \001(\0132<.google.cloud.aipla"
+          + "tform.v1beta1.ManualBatchTuningParameter"
+          + "sB\003\340A\005\022\034\n\024generate_explanation\030\027 \001(\010\022J\n\020"
+          + "explanation_spec\030\031 \001(\01320.google.cloud.ai"
+          + "platform.v1beta1.ExplanationSpec\022X\n\013outp"
+          + "ut_info\030\t \001(\0132>.google.cloud.aiplatform."
+          + "v1beta1.BatchPredictionJob.OutputInfoB\003\340"
+          + "A\003\022=\n\005state\030\n \001(\0162).google.cloud.aiplatf"
+          + "orm.v1beta1.JobStateB\003\340A\003\022&\n\005error\030\013 \001(\013"
+          + "2\022.google.rpc.StatusB\003\340A\003\0221\n\020partial_fai"
+          + "lures\030\014 \003(\0132\022.google.rpc.StatusB\003\340A\003\022S\n\022"
+          + "resources_consumed\030\r \001(\01322.google.cloud."
+          + "aiplatform.v1beta1.ResourcesConsumedB\003\340A"
+          + "\003\022O\n\020completion_stats\030\016 \001(\01320.google.clo"
+          + "ud.aiplatform.v1beta1.CompletionStatsB\003\340"
+          + "A\003\0224\n\013create_time\030\017 \001(\0132\032.google.protobu"
+          + "f.TimestampB\003\340A\003\0223\n\nstart_time\030\020 \001(\0132\032.g"
+          + "oogle.protobuf.TimestampB\003\340A\003\0221\n\010end_tim"
+          + "e\030\021 \001(\0132\032.google.protobuf.TimestampB\003\340A\003"
+          + "\0224\n\013update_time\030\022 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\022O\n\006labels\030\023 \003(\0132?.google."
+          + "cloud.aiplatform.v1beta1.BatchPrediction"
+          + "Job.LabelsEntry\022H\n\017encryption_spec\030\030 \001(\013"
+          + "2/.google.cloud.aiplatform.v1beta1.Encry"
+          + "ptionSpec\032\304\001\n\013InputConfig\022@\n\ngcs_source\030"
+          + "\002 \001(\0132*.google.cloud.aiplatform.v1beta1."
+          + "GcsSourceH\000\022J\n\017bigquery_source\030\003 \001(\0132/.g"
+          + "oogle.cloud.aiplatform.v1beta1.BigQueryS"
+          + "ourceH\000\022\035\n\020instances_format\030\001 \001(\tB\003\340A\002B\010"
+          + "\n\006source\032\340\001\n\014OutputConfig\022J\n\017gcs_destina"
+          + "tion\030\002 \001(\0132/.google.cloud.aiplatform.v1b"
+          + "eta1.GcsDestinationH\000\022T\n\024bigquery_destin"
+          + "ation\030\003 \001(\01324.google.cloud.aiplatform.v1"
+          + "beta1.BigQueryDestinationH\000\022\037\n\022predictio"
+          + "ns_format\030\001 \001(\tB\003\340A\002B\r\n\013destination\032l\n\nO"
+          + "utputInfo\022#\n\024gcs_output_directory\030\001 \001(\tB"
+          + "\003\340A\003H\000\022&\n\027bigquery_output_dataset\030\002 \001(\tB"
+          + "\003\340A\003H\000B\021\n\017output_location\032-\n\013LabelsEntry"
+          + "\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\206\001\352A\202\001\n"
+          + ",aiplatform.googleapis.com/BatchPredicti"
+          + "onJob\022Rprojects/{project}/locations/{loc"
+          + "ation}/batchPredictionJobs/{batch_predic"
+          + "tion_job}B\213\001\n#com.google.cloud.aiplatfor"
+          + "m.v1beta1B\027BatchPredictionJobProtoP\001ZIgo"
+          + "ogle.golang.org/genproto/googleapis/clou"
+          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -135,6 +138,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.CompletionStatsProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
@@ -172,6 +176,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "EndTime",
               "UpdateTime",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchPredictionJob_InputConfig_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_BatchPredictionJob_descriptor
@@ -223,6 +228,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.CompletionStatsProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
index 21da5207e..7f47accd5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
@@ -117,9 +117,13 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only project is specified, Dataset and Table is created.
+   * When full table reference is specified, Dataset must exist and table must
+   * not exist.
    * Accepted forms:
-   * *  BigQuery path. For example: `bq://projectId`.
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -142,9 +146,13 @@ public java.lang.String getOutputUri() {
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only project is specified, Dataset and Table is created.
+   * When full table reference is specified, Dataset must exist and table must
+   * not exist.
    * Accepted forms:
-   * *  BigQuery path. For example: `bq://projectId`.
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -488,9 +496,13 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -512,9 +524,13 @@ public java.lang.String getOutputUri() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -536,9 +552,13 @@ public com.google.protobuf.ByteString getOutputUriBytes() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -559,9 +579,13 @@ public Builder setOutputUri(java.lang.String value) {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -578,9 +602,13 @@ public Builder clearOutputUri() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
index aff64073c..0ff99b258 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
@@ -27,9 +27,13 @@ public interface BigQueryDestinationOrBuilder
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only project is specified, Dataset and Table is created.
+   * When full table reference is specified, Dataset must exist and table must
+   * not exist.
    * Accepted forms:
-   * *  BigQuery path. For example: `bq://projectId`.
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -41,9 +45,13 @@ public interface BigQueryDestinationOrBuilder
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only project is specified, Dataset and Table is created.
+   * When full table reference is specified, Dataset must exist and table must
+   * not exist.
    * Accepted forms:
-   * *  BigQuery path. For example: `bq://projectId`.
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
index 469374d81..058277cd5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
@@ -199,6 +199,23 @@ private CustomJob(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 98:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -807,6 +824,60 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 12;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -850,6 +921,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 11);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(12, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -896,6 +970,9 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, labels__);
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(12, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -940,6 +1017,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getError().equals(other.getError())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -985,6 +1066,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1196,6 +1281,12 @@ public Builder clear() {
         errorBuilder_ = null;
       }
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1259,6 +1350,11 @@ public com.google.cloud.aiplatform.v1beta1.CustomJob buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1338,6 +1434,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.CustomJob other) {
         mergeError(other.getError());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -3059,6 +3158,211 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
index 23e21ff9d..516d9aa0a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
@@ -416,4 +416,45 @@ public interface CustomJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 11;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
index 0261623f3..78f43fce9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
@@ -67,58 +67,62 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n0google/cloud/aiplatform/v1beta1/custom"
           + "_job.proto\022\037google.cloud.aiplatform.v1be"
           + "ta1\032\037google/api/field_behavior.proto\032\031go"
-          + "ogle/api/resource.proto\032-google/cloud/ai"
-          + "platform/v1beta1/env_var.proto\032(google/c"
-          + "loud/aiplatform/v1beta1/io.proto\032/google"
-          + "/cloud/aiplatform/v1beta1/job_state.prot"
-          + "o\0327google/cloud/aiplatform/v1beta1/machi"
-          + "ne_resources.proto\032\036google/protobuf/dura"
-          + "tion.proto\032\037google/protobuf/timestamp.pr"
-          + "oto\032\027google/rpc/status.proto\032\034google/api"
-          + "/annotations.proto\"\235\005\n\tCustomJob\022\021\n\004name"
-          + "\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022E"
-          + "\n\010job_spec\030\004 \001(\0132..google.cloud.aiplatfo"
-          + "rm.v1beta1.CustomJobSpecB\003\340A\002\022=\n\005state\030\005"
-          + " \001(\0162).google.cloud.aiplatform.v1beta1.J"
-          + "obStateB\003\340A\003\0224\n\013create_time\030\006 \001(\0132\032.goog"
-          + "le.protobuf.TimestampB\003\340A\003\0223\n\nstart_time"
-          + "\030\007 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
-          + "1\n\010end_time\030\010 \001(\0132\032.google.protobuf.Time"
-          + "stampB\003\340A\003\0224\n\013update_time\030\t \001(\0132\032.google"
-          + ".protobuf.TimestampB\003\340A\003\022&\n\005error\030\n \001(\0132"
-          + "\022.google.rpc.StatusB\003\340A\003\022F\n\006labels\030\013 \003(\013"
-          + "26.google.cloud.aiplatform.v1beta1.Custo"
-          + "mJob.LabelsEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001"
-          + " \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:i\352Af\n#aiplatform"
-          + ".googleapis.com/CustomJob\022?projects/{pro"
-          + "ject}/locations/{location}/customJobs/{c"
-          + "ustom_job}\"\233\002\n\rCustomJobSpec\022O\n\021worker_p"
-          + "ool_specs\030\001 \003(\0132/.google.cloud.aiplatfor"
-          + "m.v1beta1.WorkerPoolSpecB\003\340A\002\022?\n\nschedul"
-          + "ing\030\003 \001(\0132+.google.cloud.aiplatform.v1be"
-          + "ta1.Scheduling\022\027\n\017service_account\030\004 \001(\t\022"
-          + "\017\n\007network\030\005 \001(\t\022N\n\025base_output_director"
-          + "y\030\006 \001(\0132/.google.cloud.aiplatform.v1beta"
-          + "1.GcsDestination\"\333\002\n\016WorkerPoolSpec\022H\n\016c"
-          + "ontainer_spec\030\006 \001(\0132..google.cloud.aipla"
-          + "tform.v1beta1.ContainerSpecH\000\022Q\n\023python_"
-          + "package_spec\030\007 \001(\01322.google.cloud.aiplat"
-          + "form.v1beta1.PythonPackageSpecH\000\022J\n\014mach"
-          + "ine_spec\030\001 \001(\0132,.google.cloud.aiplatform"
-          + ".v1beta1.MachineSpecB\006\340A\002\340A\005\022\032\n\rreplica_"
-          + "count\030\002 \001(\003B\003\340A\002\022<\n\tdisk_spec\030\005 \001(\0132).go"
-          + "ogle.cloud.aiplatform.v1beta1.DiskSpecB\006"
-          + "\n\004task\"F\n\rContainerSpec\022\026\n\timage_uri\030\001 \001"
-          + "(\tB\003\340A\002\022\017\n\007command\030\002 \003(\t\022\014\n\004args\030\003 \003(\t\"y"
-          + "\n\021PythonPackageSpec\022\037\n\022executor_image_ur"
-          + "i\030\001 \001(\tB\003\340A\002\022\031\n\014package_uris\030\002 \003(\tB\003\340A\002\022"
-          + "\032\n\rpython_module\030\003 \001(\tB\003\340A\002\022\014\n\004args\030\004 \003("
-          + "\t\"_\n\nScheduling\022*\n\007timeout\030\001 \001(\0132\031.googl"
-          + "e.protobuf.Duration\022%\n\035restart_job_on_wo"
-          + "rker_restart\030\003 \001(\010B\202\001\n#com.google.cloud."
-          + "aiplatform.v1beta1B\016CustomJobProtoP\001ZIgo"
-          + "ogle.golang.org/genproto/googleapis/clou"
-          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
+          + "ogle/api/resource.proto\0325google/cloud/ai"
+          + "platform/v1beta1/encryption_spec.proto\032-"
+          + "google/cloud/aiplatform/v1beta1/env_var."
+          + "proto\032(google/cloud/aiplatform/v1beta1/i"
+          + "o.proto\032/google/cloud/aiplatform/v1beta1"
+          + "/job_state.proto\0327google/cloud/aiplatfor"
+          + "m/v1beta1/machine_resources.proto\032\036googl"
+          + "e/protobuf/duration.proto\032\037google/protob"
+          + "uf/timestamp.proto\032\027google/rpc/status.pr"
+          + "oto\032\034google/api/annotations.proto\"\347\005\n\tCu"
+          + "stomJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_na"
+          + "me\030\002 \001(\tB\003\340A\002\022E\n\010job_spec\030\004 \001(\0132..google"
+          + ".cloud.aiplatform.v1beta1.CustomJobSpecB"
+          + "\003\340A\002\022=\n\005state\030\005 \001(\0162).google.cloud.aipla"
+          + "tform.v1beta1.JobStateB\003\340A\003\0224\n\013create_ti"
+          + "me\030\006 \001(\0132\032.google.protobuf.TimestampB\003\340A"
+          + "\003\0223\n\nstart_time\030\007 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\0221\n\010end_time\030\010 \001(\0132\032.googl"
+          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
+          + "\030\t \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
+          + "&\n\005error\030\n \001(\0132\022.google.rpc.StatusB\003\340A\003\022"
+          + "F\n\006labels\030\013 \003(\01326.google.cloud.aiplatfor"
+          + "m.v1beta1.CustomJob.LabelsEntry\022H\n\017encry"
+          + "ption_spec\030\014 \001(\0132/.google.cloud.aiplatfo"
+          + "rm.v1beta1.EncryptionSpec\032-\n\013LabelsEntry"
+          + "\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:i\352Af\n#a"
+          + "iplatform.googleapis.com/CustomJob\022?proj"
+          + "ects/{project}/locations/{location}/cust"
+          + "omJobs/{custom_job}\"\233\002\n\rCustomJobSpec\022O\n"
+          + "\021worker_pool_specs\030\001 \003(\0132/.google.cloud."
+          + "aiplatform.v1beta1.WorkerPoolSpecB\003\340A\002\022?"
+          + "\n\nscheduling\030\003 \001(\0132+.google.cloud.aiplat"
+          + "form.v1beta1.Scheduling\022\027\n\017service_accou"
+          + "nt\030\004 \001(\t\022\017\n\007network\030\005 \001(\t\022N\n\025base_output"
+          + "_directory\030\006 \001(\0132/.google.cloud.aiplatfo"
+          + "rm.v1beta1.GcsDestination\"\333\002\n\016WorkerPool"
+          + "Spec\022H\n\016container_spec\030\006 \001(\0132..google.cl"
+          + "oud.aiplatform.v1beta1.ContainerSpecH\000\022Q"
+          + "\n\023python_package_spec\030\007 \001(\01322.google.clo"
+          + "ud.aiplatform.v1beta1.PythonPackageSpecH"
+          + "\000\022J\n\014machine_spec\030\001 \001(\0132,.google.cloud.a"
+          + "iplatform.v1beta1.MachineSpecB\006\340A\001\340A\005\022\032\n"
+          + "\rreplica_count\030\002 \001(\003B\003\340A\001\022<\n\tdisk_spec\030\005"
+          + " \001(\0132).google.cloud.aiplatform.v1beta1.D"
+          + "iskSpecB\006\n\004task\"F\n\rContainerSpec\022\026\n\timag"
+          + "e_uri\030\001 \001(\tB\003\340A\002\022\017\n\007command\030\002 \003(\t\022\014\n\004arg"
+          + "s\030\003 \003(\t\"y\n\021PythonPackageSpec\022\037\n\022executor"
+          + "_image_uri\030\001 \001(\tB\003\340A\002\022\031\n\014package_uris\030\002 "
+          + "\003(\tB\003\340A\002\022\032\n\rpython_module\030\003 \001(\tB\003\340A\002\022\014\n\004"
+          + "args\030\004 \003(\t\"_\n\nScheduling\022*\n\007timeout\030\001 \001("
+          + "\0132\031.google.protobuf.Duration\022%\n\035restart_"
+          + "job_on_worker_restart\030\003 \001(\010B\202\001\n#com.goog"
+          + "le.cloud.aiplatform.v1beta1B\016CustomJobPr"
+          + "otoP\001ZIgoogle.golang.org/genproto/google"
+          + "apis/cloud/aiplatform/v1beta1;aiplatform"
+          + "b\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -126,6 +130,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
@@ -151,6 +156,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Error",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_CustomJob_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_CustomJob_descriptor
@@ -215,6 +221,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
index 137e2116c..b0c020694 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
@@ -307,6 +307,8 @@ public com.google.cloud.aiplatform.v1beta1.SchedulingOrBuilder getSchedulingOrBu
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -331,6 +333,8 @@ public java.lang.String getServiceAccount() {
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -358,11 +362,10 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, projects/12345/global/networks/myVPC.
-   * [Format](https:
-   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form projects/{project}/global/networks/{network}.
-   * Where {project} is a project number, as in '12345', and {network} is
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -390,11 +393,10 @@ public java.lang.String getNetwork() {
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, projects/12345/global/networks/myVPC.
-   * [Format](https:
-   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form projects/{project}/global/networks/{network}.
-   * Where {project} is a project number, as in '12345', and {network} is
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -423,14 +425,14 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -453,14 +455,14 @@ public boolean hasBaseOutputDirectory() {
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -485,14 +487,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1550,6 +1552,8 @@ public com.google.cloud.aiplatform.v1beta1.SchedulingOrBuilder getSchedulingOrBu
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1573,6 +1577,8 @@ public java.lang.String getServiceAccount() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1596,6 +1602,8 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1618,6 +1626,8 @@ public Builder setServiceAccount(java.lang.String value) {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1636,6 +1646,8 @@ public Builder clearServiceAccount() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1661,11 +1673,10 @@ public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1692,11 +1703,10 @@ public java.lang.String getNetwork() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1723,11 +1733,10 @@ public com.google.protobuf.ByteString getNetworkBytes() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1753,11 +1762,10 @@ public Builder setNetwork(java.lang.String value) {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1779,11 +1787,10 @@ public Builder clearNetwork() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1815,14 +1822,14 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1844,14 +1851,14 @@ public boolean hasBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1879,14 +1886,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1917,14 +1924,14 @@ public Builder setBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1952,14 +1959,14 @@ public Builder setBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1994,14 +2001,14 @@ public Builder mergeBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2029,14 +2036,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2059,14 +2066,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2093,14 +2100,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
index a6c089ef2..483100384 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
@@ -127,6 +127,8 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -140,6 +142,8 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -154,11 +158,10 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, projects/12345/global/networks/myVPC.
-   * [Format](https:
-   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form projects/{project}/global/networks/{network}.
-   * Where {project} is a project number, as in '12345', and {network} is
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -175,11 +178,10 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, projects/12345/global/networks/myVPC.
-   * [Format](https:
-   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form projects/{project}/global/networks/{network}.
-   * Where {project} is a project number, as in '12345', and {network} is
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -195,14 +197,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -222,14 +224,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -249,14 +251,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
index 6e0fe044c..2df6ab022 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
@@ -229,6 +229,23 @@ private DataLabelingJob(
                 mutable_bitField0_ |= 0x00000008;
               }
               specialistPools_.add(s);
+              break;
+            }
+          case 162:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           case 170:
@@ -1248,13 +1265,70 @@ public com.google.protobuf.ByteString getSpecialistPoolsBytes(int index) {
     return specialistPools_.getByteString(index);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 20;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   public static final int ACTIVE_LEARNING_CONFIG_FIELD_NUMBER = 21;
   private com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig activeLearningConfig_;
   /**
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1271,7 +1345,7 @@ public boolean hasActiveLearningConfig() {
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1290,7 +1364,7 @@ public com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig getActiveLearnin
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1360,6 +1434,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     for (int i = 0; i < specialistPools_.size(); i++) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 16, specialistPools_.getRaw(i));
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(20, getEncryptionSpec());
+    }
     if (activeLearningConfig_ != null) {
       output.writeMessage(21, getActiveLearningConfig());
     }
@@ -1444,6 +1521,9 @@ public int getSerializedSize() {
       size += dataSize;
       size += 2 * getSpecialistPoolsList().size();
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(20, getEncryptionSpec());
+    }
     if (activeLearningConfig_ != null) {
       size +=
           com.google.protobuf.CodedOutputStream.computeMessageSize(21, getActiveLearningConfig());
@@ -1498,6 +1578,10 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
     if (!getSpecialistPoolsList().equals(other.getSpecialistPoolsList())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (hasActiveLearningConfig() != other.hasActiveLearningConfig()) return false;
     if (hasActiveLearningConfig()) {
       if (!getActiveLearningConfig().equals(other.getActiveLearningConfig())) return false;
@@ -1563,6 +1647,10 @@ public int hashCode() {
       hash = (37 * hash) + SPECIALIST_POOLS_FIELD_NUMBER;
       hash = (53 * hash) + getSpecialistPoolsList().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     if (hasActiveLearningConfig()) {
       hash = (37 * hash) + ACTIVE_LEARNING_CONFIG_FIELD_NUMBER;
       hash = (53 * hash) + getActiveLearningConfig().hashCode();
@@ -1787,6 +1875,12 @@ public Builder clear() {
       internalGetMutableLabels().clear();
       specialistPools_ = com.google.protobuf.LazyStringArrayList.EMPTY;
       bitField0_ = (bitField0_ & ~0x00000008);
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       if (activeLearningConfigBuilder_ == null) {
         activeLearningConfig_ = null;
       } else {
@@ -1867,6 +1961,11 @@ public com.google.cloud.aiplatform.v1beta1.DataLabelingJob buildPartial() {
         bitField0_ = (bitField0_ & ~0x00000008);
       }
       result.specialistPools_ = specialistPools_;
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       if (activeLearningConfigBuilder_ == null) {
         result.activeLearningConfig_ = activeLearningConfig_;
       } else {
@@ -1984,6 +2083,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.DataLabelingJob oth
         }
         onChanged();
       }
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       if (other.hasActiveLearningConfig()) {
         mergeActiveLearningConfig(other.getActiveLearningConfig());
       }
@@ -4450,6 +4552,220 @@ public Builder addSpecialistPoolsBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     private com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig activeLearningConfig_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig,
@@ -4460,7 +4776,7 @@ public Builder addSpecialistPoolsBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4477,7 +4793,7 @@ public boolean hasActiveLearningConfig() {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4500,7 +4816,7 @@ public com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig getActiveLearnin
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4526,7 +4842,7 @@ public Builder setActiveLearningConfig(
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4549,7 +4865,7 @@ public Builder setActiveLearningConfig(
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4580,7 +4896,7 @@ public Builder mergeActiveLearningConfig(
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4603,7 +4919,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4621,7 +4937,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4643,7 +4959,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
index d14e83ae7..5e4ffea31 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
@@ -692,7 +692,51 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -706,7 +750,7 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -720,7 +764,7 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
index ab991290d..3fb48edbb 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
@@ -65,59 +65,62 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "rm.v1beta1\032\037google/api/field_behavior.pr"
           + "oto\032\031google/api/resource.proto\0326google/c"
           + "loud/aiplatform/v1beta1/accelerator_type"
-          + ".proto\032/google/cloud/aiplatform/v1beta1/"
-          + "job_state.proto\0325google/cloud/aiplatform"
-          + "/v1beta1/specialist_pool.proto\032\034google/p"
-          + "rotobuf/struct.proto\032\037google/protobuf/ti"
-          + "mestamp.proto\032\027google/rpc/status.proto\032\027"
-          + "google/type/money.proto\032\034google/api/anno"
-          + "tations.proto\"\256\010\n\017DataLabelingJob\022\021\n\004nam"
-          + "e\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022"
-          + ";\n\010datasets\030\003 \003(\tB)\340A\002\372A#\n!aiplatform.go"
-          + "ogleapis.com/Dataset\022a\n\021annotation_label"
-          + "s\030\014 \003(\0132F.google.cloud.aiplatform.v1beta"
-          + "1.DataLabelingJob.AnnotationLabelsEntry\022"
-          + "\032\n\rlabeler_count\030\004 \001(\005B\003\340A\002\022\034\n\017instructi"
-          + "on_uri\030\005 \001(\tB\003\340A\002\022\036\n\021inputs_schema_uri\030\006"
-          + " \001(\tB\003\340A\002\022+\n\006inputs\030\007 \001(\0132\026.google.proto"
-          + "buf.ValueB\003\340A\002\022=\n\005state\030\010 \001(\0162).google.c"
-          + "loud.aiplatform.v1beta1.JobStateB\003\340A\003\022\036\n"
-          + "\021labeling_progress\030\r \001(\005B\003\340A\003\022.\n\rcurrent"
-          + "_spend\030\016 \001(\0132\022.google.type.MoneyB\003\340A\003\0224\n"
-          + "\013create_time\030\t \001(\0132\032.google.protobuf.Tim"
-          + "estampB\003\340A\003\0224\n\013update_time\030\n \001(\0132\032.googl"
-          + "e.protobuf.TimestampB\003\340A\003\022&\n\005error\030\026 \001(\013"
-          + "2\022.google.rpc.StatusB\003\340A\003\022L\n\006labels\030\013 \003("
-          + "\0132<.google.cloud.aiplatform.v1beta1.Data"
-          + "LabelingJob.LabelsEntry\022\030\n\020specialist_po"
-          + "ols\030\020 \003(\t\022U\n\026active_learning_config\030\025 \001("
-          + "\01325.google.cloud.aiplatform.v1beta1.Acti"
-          + "veLearningConfig\0327\n\025AnnotationLabelsEntr"
-          + "y\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\032-\n\013Lab"
-          + "elsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001"
-          + ":|\352Ay\n)aiplatform.googleapis.com/DataLab"
-          + "elingJob\022Lprojects/{project}/locations/{"
-          + "location}/dataLabelingJobs/{data_labelin"
-          + "g_job}\"\202\002\n\024ActiveLearningConfig\022\035\n\023max_d"
-          + "ata_item_count\030\001 \001(\003H\000\022\"\n\030max_data_item_"
-          + "percentage\030\002 \001(\005H\000\022D\n\rsample_config\030\003 \001("
-          + "\0132-.google.cloud.aiplatform.v1beta1.Samp"
-          + "leConfig\022H\n\017training_config\030\004 \001(\0132/.goog"
-          + "le.cloud.aiplatform.v1beta1.TrainingConf"
-          + "igB\027\n\025human_labeling_budget\"\275\002\n\014SampleCo"
-          + "nfig\022)\n\037initial_batch_sample_percentage\030"
-          + "\001 \001(\005H\000\022+\n!following_batch_sample_percen"
-          + "tage\030\003 \001(\005H\001\022U\n\017sample_strategy\030\005 \001(\0162<."
-          + "google.cloud.aiplatform.v1beta1.SampleCo"
-          + "nfig.SampleStrategy\"B\n\016SampleStrategy\022\037\n"
-          + "\033SAMPLE_STRATEGY_UNSPECIFIED\020\000\022\017\n\013UNCERT"
-          + "AINTY\020\001B\033\n\031initial_batch_sample_sizeB\035\n\033"
-          + "following_batch_sample_size\"6\n\016TrainingC"
-          + "onfig\022$\n\034timeout_training_milli_hours\030\001 "
-          + "\001(\003B\210\001\n#com.google.cloud.aiplatform.v1be"
-          + "ta1B\024DataLabelingJobProtoP\001ZIgoogle.gola"
-          + "ng.org/genproto/googleapis/cloud/aiplatf"
-          + "orm/v1beta1;aiplatformb\006proto3"
+          + ".proto\0325google/cloud/aiplatform/v1beta1/"
+          + "encryption_spec.proto\032/google/cloud/aipl"
+          + "atform/v1beta1/job_state.proto\0325google/c"
+          + "loud/aiplatform/v1beta1/specialist_pool."
+          + "proto\032\034google/protobuf/struct.proto\032\037goo"
+          + "gle/protobuf/timestamp.proto\032\027google/rpc"
+          + "/status.proto\032\027google/type/money.proto\032\034"
+          + "google/api/annotations.proto\"\370\010\n\017DataLab"
+          + "elingJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_n"
+          + "ame\030\002 \001(\tB\003\340A\002\022;\n\010datasets\030\003 \003(\tB)\340A\002\372A#"
+          + "\n!aiplatform.googleapis.com/Dataset\022a\n\021a"
+          + "nnotation_labels\030\014 \003(\0132F.google.cloud.ai"
+          + "platform.v1beta1.DataLabelingJob.Annotat"
+          + "ionLabelsEntry\022\032\n\rlabeler_count\030\004 \001(\005B\003\340"
+          + "A\002\022\034\n\017instruction_uri\030\005 \001(\tB\003\340A\002\022\036\n\021inpu"
+          + "ts_schema_uri\030\006 \001(\tB\003\340A\002\022+\n\006inputs\030\007 \001(\013"
+          + "2\026.google.protobuf.ValueB\003\340A\002\022=\n\005state\030\010"
+          + " \001(\0162).google.cloud.aiplatform.v1beta1.J"
+          + "obStateB\003\340A\003\022\036\n\021labeling_progress\030\r \001(\005B"
+          + "\003\340A\003\022.\n\rcurrent_spend\030\016 \001(\0132\022.google.typ"
+          + "e.MoneyB\003\340A\003\0224\n\013create_time\030\t \001(\0132\032.goog"
+          + "le.protobuf.TimestampB\003\340A\003\0224\n\013update_tim"
+          + "e\030\n \001(\0132\032.google.protobuf.TimestampB\003\340A\003"
+          + "\022&\n\005error\030\026 \001(\0132\022.google.rpc.StatusB\003\340A\003"
+          + "\022L\n\006labels\030\013 \003(\0132<.google.cloud.aiplatfo"
+          + "rm.v1beta1.DataLabelingJob.LabelsEntry\022\030"
+          + "\n\020specialist_pools\030\020 \003(\t\022H\n\017encryption_s"
+          + "pec\030\024 \001(\0132/.google.cloud.aiplatform.v1be"
+          + "ta1.EncryptionSpec\022U\n\026active_learning_co"
+          + "nfig\030\025 \001(\01325.google.cloud.aiplatform.v1b"
+          + "eta1.ActiveLearningConfig\0327\n\025AnnotationL"
+          + "abelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\002"
+          + "8\001\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030"
+          + "\002 \001(\t:\0028\001:|\352Ay\n)aiplatform.googleapis.co"
+          + "m/DataLabelingJob\022Lprojects/{project}/lo"
+          + "cations/{location}/dataLabelingJobs/{dat"
+          + "a_labeling_job}\"\202\002\n\024ActiveLearningConfig"
+          + "\022\035\n\023max_data_item_count\030\001 \001(\003H\000\022\"\n\030max_d"
+          + "ata_item_percentage\030\002 \001(\005H\000\022D\n\rsample_co"
+          + "nfig\030\003 \001(\0132-.google.cloud.aiplatform.v1b"
+          + "eta1.SampleConfig\022H\n\017training_config\030\004 \001"
+          + "(\0132/.google.cloud.aiplatform.v1beta1.Tra"
+          + "iningConfigB\027\n\025human_labeling_budget\"\275\002\n"
+          + "\014SampleConfig\022)\n\037initial_batch_sample_pe"
+          + "rcentage\030\001 \001(\005H\000\022+\n!following_batch_samp"
+          + "le_percentage\030\003 \001(\005H\001\022U\n\017sample_strategy"
+          + "\030\005 \001(\0162<.google.cloud.aiplatform.v1beta1"
+          + ".SampleConfig.SampleStrategy\"B\n\016SampleSt"
+          + "rategy\022\037\n\033SAMPLE_STRATEGY_UNSPECIFIED\020\000\022"
+          + "\017\n\013UNCERTAINTY\020\001B\033\n\031initial_batch_sample"
+          + "_sizeB\035\n\033following_batch_sample_size\"6\n\016"
+          + "TrainingConfig\022$\n\034timeout_training_milli"
+          + "_hours\030\001 \001(\003B\210\001\n#com.google.cloud.aiplat"
+          + "form.v1beta1B\024DataLabelingJobProtoP\001ZIgo"
+          + "ogle.golang.org/genproto/googleapis/clou"
+          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -126,6 +129,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.AcceleratorTypeProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.SpecialistPoolProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
@@ -156,6 +160,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Error",
               "Labels",
               "SpecialistPools",
+              "EncryptionSpec",
               "ActiveLearningConfig",
             });
     internal_static_google_cloud_aiplatform_v1beta1_DataLabelingJob_AnnotationLabelsEntry_descriptor =
@@ -220,6 +225,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.AcceleratorTypeProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.SpecialistPoolProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
index 01df6018b..839cb7af2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
@@ -157,6 +157,23 @@ private Dataset(
                 metadata_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 90:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -696,6 +713,57 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 11;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -733,6 +801,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (metadata_ != null) {
       output.writeMessage(8, getMetadata());
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(11, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -773,6 +844,9 @@ public int getSerializedSize() {
     if (metadata_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getMetadata());
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -806,6 +880,10 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!getEtag().equals(other.getEtag())) return false;
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -841,6 +919,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1033,6 +1115,12 @@ public Builder clear() {
       etag_ = "";
 
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1082,6 +1170,11 @@ public com.google.cloud.aiplatform.v1beta1.Dataset buildPartial() {
       result.etag_ = etag_;
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1157,6 +1250,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Dataset other) {
         onChanged();
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2455,6 +2551,202 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
index f0196cae4..54bee561d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
@@ -351,4 +351,42 @@ public interface DatasetOrBuilder
    * <code>map&lt;string, string&gt; labels = 7;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
index 8958051f7..bc261f981 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
@@ -59,36 +59,40 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n-google/cloud/aiplatform/v1beta1/datase"
           + "t.proto\022\037google.cloud.aiplatform.v1beta1"
           + "\032\037google/api/field_behavior.proto\032\031googl"
-          + "e/api/resource.proto\032(google/cloud/aipla"
-          + "tform/v1beta1/io.proto\032\034google/protobuf/"
-          + "struct.proto\032\037google/protobuf/timestamp."
-          + "proto\032\034google/api/annotations.proto\"\333\003\n\007"
-          + "Dataset\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_na"
-          + "me\030\002 \001(\tB\003\340A\002\022 \n\023metadata_schema_uri\030\003 \001"
-          + "(\tB\003\340A\002\022-\n\010metadata\030\010 \001(\0132\026.google.proto"
-          + "buf.ValueB\003\340A\002\0224\n\013create_time\030\004 \001(\0132\032.go"
-          + "ogle.protobuf.TimestampB\003\340A\003\0224\n\013update_t"
-          + "ime\030\005 \001(\0132\032.google.protobuf.TimestampB\003\340"
-          + "A\003\022\014\n\004etag\030\006 \001(\t\022D\n\006labels\030\007 \003(\01324.googl"
-          + "e.cloud.aiplatform.v1beta1.Dataset.Label"
-          + "sEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005va"
-          + "lue\030\002 \001(\t:\0028\001:b\352A_\n!aiplatform.googleapi"
-          + "s.com/Dataset\022:projects/{project}/locati"
-          + "ons/{location}/datasets/{dataset}\"\226\002\n\020Im"
-          + "portDataConfig\022@\n\ngcs_source\030\001 \001(\0132*.goo"
-          + "gle.cloud.aiplatform.v1beta1.GcsSourceH\000"
-          + "\022_\n\020data_item_labels\030\002 \003(\0132E.google.clou"
-          + "d.aiplatform.v1beta1.ImportDataConfig.Da"
-          + "taItemLabelsEntry\022\036\n\021import_schema_uri\030\004"
-          + " \001(\tB\003\340A\002\0325\n\023DataItemLabelsEntry\022\013\n\003key\030"
-          + "\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001B\010\n\006source\"\211\001\n\020E"
-          + "xportDataConfig\022J\n\017gcs_destination\030\001 \001(\013"
-          + "2/.google.cloud.aiplatform.v1beta1.GcsDe"
-          + "stinationH\000\022\032\n\022annotations_filter\030\002 \001(\tB"
-          + "\r\n\013destinationB\200\001\n#com.google.cloud.aipl"
-          + "atform.v1beta1B\014DatasetProtoP\001ZIgoogle.g"
-          + "olang.org/genproto/googleapis/cloud/aipl"
-          + "atform/v1beta1;aiplatformb\006proto3"
+          + "e/api/resource.proto\0325google/cloud/aipla"
+          + "tform/v1beta1/encryption_spec.proto\032(goo"
+          + "gle/cloud/aiplatform/v1beta1/io.proto\032\034g"
+          + "oogle/protobuf/struct.proto\032\037google/prot"
+          + "obuf/timestamp.proto\032\034google/api/annotat"
+          + "ions.proto\"\245\004\n\007Dataset\022\021\n\004name\030\001 \001(\tB\003\340A"
+          + "\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022 \n\023metadata"
+          + "_schema_uri\030\003 \001(\tB\003\340A\002\022-\n\010metadata\030\010 \001(\013"
+          + "2\026.google.protobuf.ValueB\003\340A\002\0224\n\013create_"
+          + "time\030\004 \001(\0132\032.google.protobuf.TimestampB\003"
+          + "\340A\003\0224\n\013update_time\030\005 \001(\0132\032.google.protob"
+          + "uf.TimestampB\003\340A\003\022\014\n\004etag\030\006 \001(\t\022D\n\006label"
+          + "s\030\007 \003(\01324.google.cloud.aiplatform.v1beta"
+          + "1.Dataset.LabelsEntry\022H\n\017encryption_spec"
+          + "\030\013 \001(\0132/.google.cloud.aiplatform.v1beta1"
+          + ".EncryptionSpec\032-\n\013LabelsEntry\022\013\n\003key\030\001 "
+          + "\001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:b\352A_\n!aiplatform."
+          + "googleapis.com/Dataset\022:projects/{projec"
+          + "t}/locations/{location}/datasets/{datase"
+          + "t}\"\226\002\n\020ImportDataConfig\022@\n\ngcs_source\030\001 "
+          + "\001(\0132*.google.cloud.aiplatform.v1beta1.Gc"
+          + "sSourceH\000\022_\n\020data_item_labels\030\002 \003(\0132E.go"
+          + "ogle.cloud.aiplatform.v1beta1.ImportData"
+          + "Config.DataItemLabelsEntry\022\036\n\021import_sch"
+          + "ema_uri\030\004 \001(\tB\003\340A\002\0325\n\023DataItemLabelsEntr"
+          + "y\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001B\010\n\006sou"
+          + "rce\"\211\001\n\020ExportDataConfig\022J\n\017gcs_destinat"
+          + "ion\030\001 \001(\0132/.google.cloud.aiplatform.v1be"
+          + "ta1.GcsDestinationH\000\022\032\n\022annotations_filt"
+          + "er\030\002 \001(\tB\r\n\013destinationB\200\001\n#com.google.c"
+          + "loud.aiplatform.v1beta1B\014DatasetProtoP\001Z"
+          + "Igoogle.golang.org/genproto/googleapis/c"
+          + "loud/aiplatform/v1beta1;aiplatformb\006prot"
+          + "o3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -96,6 +100,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -115,6 +120,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Etag",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Dataset_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Dataset_descriptor.getNestedTypes().get(0);
@@ -158,6 +164,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
index b6068bca9..de3249d36 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
@@ -715,7 +715,7 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
    * <pre>
    * If true, the container of the DeployedModel instances will send `stderr`
    * and `stdout` streams to Stackdriver Logging.
-   * Only supported for custom-trained Models and AutoML Tables Models.
+   * Only supported for custom-trained Models and AutoML Tabular Models.
    * </pre>
    *
    * <code>bool enable_container_logging = 12;</code>
@@ -2664,7 +2664,7 @@ public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tables Models.
+     * Only supported for custom-trained Models and AutoML Tabular Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
@@ -2681,7 +2681,7 @@ public boolean getEnableContainerLogging() {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tables Models.
+     * Only supported for custom-trained Models and AutoML Tabular Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
@@ -2701,7 +2701,7 @@ public Builder setEnableContainerLogging(boolean value) {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tables Models.
+     * Only supported for custom-trained Models and AutoML Tabular Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
index dc2507765..0410f13c2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
@@ -317,7 +317,7 @@ public interface DeployedModelOrBuilder
    * <pre>
    * If true, the container of the DeployedModel instances will send `stderr`
    * and `stdout` streams to Stackdriver Logging.
-   * Only supported for custom-trained Models and AutoML Tables Models.
+   * Only supported for custom-trained Models and AutoML Tabular Models.
    * </pre>
    *
    * <code>bool enable_container_logging = 12;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
index a7d7a5dc7..f1ca46c51 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
@@ -122,7 +122,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-standard").
+   * Type of the boot disk (default is "pd-ssd").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -147,7 +147,7 @@ public java.lang.String getBootDiskType() {
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-standard").
+   * Type of the boot disk (default is "pd-ssd").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -523,7 +523,7 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -547,7 +547,7 @@ public java.lang.String getBootDiskType() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -571,7 +571,7 @@ public com.google.protobuf.ByteString getBootDiskTypeBytes() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -594,7 +594,7 @@ public Builder setBootDiskType(java.lang.String value) {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -613,7 +613,7 @@ public Builder clearBootDiskType() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
index 54c1c5b64..288fd2baf 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
@@ -27,7 +27,7 @@ public interface DiskSpecOrBuilder
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-standard").
+   * Type of the boot disk (default is "pd-ssd").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -41,7 +41,7 @@ public interface DiskSpecOrBuilder
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-standard").
+   * Type of the boot disk (default is "pd-ssd").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
new file mode 100644
index 000000000..388bb0d27
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
@@ -0,0 +1,666 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents a customer-managed encryption key spec that can be applied to
+ * a top-level resource.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1beta1.EncryptionSpec}
+ */
+public final class EncryptionSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+    EncryptionSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use EncryptionSpec.newBuilder() to construct.
+  private EncryptionSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private EncryptionSpec() {
+    kmsKeyName_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new EncryptionSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private EncryptionSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              kmsKeyName_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+        .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+        .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.class,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder.class);
+  }
+
+  public static final int KMS_KEY_NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object kmsKeyName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The kmsKeyName.
+   */
+  @java.lang.Override
+  public java.lang.String getKmsKeyName() {
+    java.lang.Object ref = kmsKeyName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      kmsKeyName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for kmsKeyName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getKmsKeyNameBytes() {
+    java.lang.Object ref = kmsKeyName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      kmsKeyName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getKmsKeyNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, kmsKeyName_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getKmsKeyNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, kmsKeyName_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1beta1.EncryptionSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpec other =
+        (com.google.cloud.aiplatform.v1beta1.EncryptionSpec) obj;
+
+    if (!getKmsKeyName().equals(other.getKmsKeyName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + KMS_KEY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getKmsKeyName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1beta1.EncryptionSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a customer-managed encryption key spec that can be applied to
+   * a top-level resource.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1beta1.EncryptionSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+      com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.class,
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      kmsKeyName_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec build() {
+      com.google.cloud.aiplatform.v1beta1.EncryptionSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec buildPartial() {
+      com.google.cloud.aiplatform.v1beta1.EncryptionSpec result =
+          new com.google.cloud.aiplatform.v1beta1.EncryptionSpec(this);
+      result.kmsKeyName_ = kmsKeyName_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1beta1.EncryptionSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1beta1.EncryptionSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.EncryptionSpec other) {
+      if (other == com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance())
+        return this;
+      if (!other.getKmsKeyName().isEmpty()) {
+        kmsKeyName_ = other.kmsKeyName_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1beta1.EncryptionSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1beta1.EncryptionSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object kmsKeyName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The kmsKeyName.
+     */
+    public java.lang.String getKmsKeyName() {
+      java.lang.Object ref = kmsKeyName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        kmsKeyName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for kmsKeyName.
+     */
+    public com.google.protobuf.ByteString getKmsKeyNameBytes() {
+      java.lang.Object ref = kmsKeyName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        kmsKeyName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The kmsKeyName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKmsKeyName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      kmsKeyName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearKmsKeyName() {
+
+      kmsKeyName_ = getDefaultInstance().getKmsKeyName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for kmsKeyName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKmsKeyNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      kmsKeyName_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+  private static final com.google.cloud.aiplatform.v1beta1.EncryptionSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.EncryptionSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<EncryptionSpec> PARSER =
+      new com.google.protobuf.AbstractParser<EncryptionSpec>() {
+        @java.lang.Override
+        public EncryptionSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new EncryptionSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<EncryptionSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<EncryptionSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
new file mode 100644
index 000000000..b5ce0eb31
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public interface EncryptionSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The kmsKeyName.
+   */
+  java.lang.String getKmsKeyName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for kmsKeyName.
+   */
+  com.google.protobuf.ByteString getKmsKeyNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java
new file mode 100644
index 000000000..097eddefb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java
@@ -0,0 +1,78 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public final class EncryptionSpecProto {
+  private EncryptionSpecProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n5google/cloud/aiplatform/v1beta1/encryp"
+          + "tion_spec.proto\022\037google.cloud.aiplatform"
+          + ".v1beta1\032\037google/api/field_behavior.prot"
+          + "o\032\034google/api/annotations.proto\"+\n\016Encry"
+          + "ptionSpec\022\031\n\014kms_key_name\030\001 \001(\tB\003\340A\002B\207\001\n"
+          + "#com.google.cloud.aiplatform.v1beta1B\023En"
+          + "cryptionSpecProtoP\001ZIgoogle.golang.org/g"
+          + "enproto/googleapis/cloud/aiplatform/v1be"
+          + "ta1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor,
+            new java.lang.String[] {
+              "KmsKeyName",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
index 157c5ff3c..9ee75e4a9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
@@ -173,6 +173,23 @@ private Endpoint(
                 updateTime_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 82:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -849,6 +866,60 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
     return getUpdateTime();
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 10;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -888,6 +959,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (updateTime_ != null) {
       output.writeMessage(9, getUpdateTime());
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(10, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -938,6 +1012,9 @@ public int getSerializedSize() {
     if (updateTime_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getUpdateTime());
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(10, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -969,6 +1046,10 @@ public boolean equals(final java.lang.Object obj) {
     if (hasUpdateTime()) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1008,6 +1089,10 @@ public int hashCode() {
       hash = (37 * hash) + UPDATE_TIME_FIELD_NUMBER;
       hash = (53 * hash) + getUpdateTime().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1208,6 +1293,12 @@ public Builder clear() {
         updateTime_ = null;
         updateTimeBuilder_ = null;
       }
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1263,6 +1354,11 @@ public com.google.cloud.aiplatform.v1beta1.Endpoint buildPartial() {
       } else {
         result.updateTime_ = updateTimeBuilder_.build();
       }
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1363,6 +1459,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Endpoint other) {
       if (other.hasUpdateTime()) {
         mergeUpdateTime(other.getUpdateTime());
       }
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -3046,6 +3145,211 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
       return updateTimeBuilder_;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
index d23033be3..83d69a594 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
@@ -429,4 +429,45 @@ public interface EndpointOrBuilder
    * </code>
    */
   com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
index 2b47ee4c4..47c9a8e84 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
@@ -55,44 +55,47 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n.google/cloud/aiplatform/v1beta1/endpoi"
           + "nt.proto\022\037google.cloud.aiplatform.v1beta"
           + "1\032\037google/api/field_behavior.proto\032\031goog"
-          + "le/api/resource.proto\0321google/cloud/aipl"
-          + "atform/v1beta1/explanation.proto\0327google"
-          + "/cloud/aiplatform/v1beta1/machine_resour"
-          + "ces.proto\032\037google/protobuf/timestamp.pro"
-          + "to\032\034google/api/annotations.proto\"\373\004\n\010End"
-          + "point\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name"
-          + "\030\002 \001(\tB\003\340A\002\022\023\n\013description\030\003 \001(\t\022L\n\017depl"
-          + "oyed_models\030\004 \003(\0132..google.cloud.aiplatf"
-          + "orm.v1beta1.DeployedModelB\003\340A\003\022R\n\rtraffi"
-          + "c_split\030\005 \003(\0132;.google.cloud.aiplatform."
-          + "v1beta1.Endpoint.TrafficSplitEntry\022\014\n\004et"
-          + "ag\030\006 \001(\t\022E\n\006labels\030\007 \003(\01325.google.cloud."
-          + "aiplatform.v1beta1.Endpoint.LabelsEntry\022"
-          + "4\n\013create_time\030\010 \001(\0132\032.google.protobuf.T"
-          + "imestampB\003\340A\003\0224\n\013update_time\030\t \001(\0132\032.goo"
-          + "gle.protobuf.TimestampB\003\340A\003\0323\n\021TrafficSp"
-          + "litEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\005:\0028\001"
-          + "\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 "
-          + "\001(\t:\0028\001:e\352Ab\n\"aiplatform.googleapis.com/"
-          + "Endpoint\022<projects/{project}/locations/{"
-          + "location}/endpoints/{endpoint}\"\212\004\n\rDeplo"
-          + "yedModel\022R\n\023dedicated_resources\030\007 \001(\01323."
-          + "google.cloud.aiplatform.v1beta1.Dedicate"
-          + "dResourcesH\000\022R\n\023automatic_resources\030\010 \001("
-          + "\01323.google.cloud.aiplatform.v1beta1.Auto"
-          + "maticResourcesH\000\022\017\n\002id\030\001 \001(\tB\003\340A\003\0226\n\005mod"
-          + "el\030\002 \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis."
-          + "com/Model\022\024\n\014display_name\030\003 \001(\t\0224\n\013creat"
-          + "e_time\030\006 \001(\0132\032.google.protobuf.Timestamp"
-          + "B\003\340A\003\022J\n\020explanation_spec\030\t \001(\01320.google"
-          + ".cloud.aiplatform.v1beta1.ExplanationSpe"
-          + "c\022\027\n\017service_account\030\013 \001(\t\022 \n\030enable_con"
-          + "tainer_logging\030\014 \001(\010\022\035\n\025enable_access_lo"
-          + "gging\030\r \001(\010B\026\n\024prediction_resourcesB\201\001\n#"
-          + "com.google.cloud.aiplatform.v1beta1B\rEnd"
-          + "pointProtoP\001ZIgoogle.golang.org/genproto"
-          + "/googleapis/cloud/aiplatform/v1beta1;aip"
-          + "latformb\006proto3"
+          + "le/api/resource.proto\0325google/cloud/aipl"
+          + "atform/v1beta1/encryption_spec.proto\0321go"
+          + "ogle/cloud/aiplatform/v1beta1/explanatio"
+          + "n.proto\0327google/cloud/aiplatform/v1beta1"
+          + "/machine_resources.proto\032\037google/protobu"
+          + "f/timestamp.proto\032\034google/api/annotation"
+          + "s.proto\"\305\005\n\010Endpoint\022\021\n\004name\030\001 \001(\tB\003\340A\003\022"
+          + "\031\n\014display_name\030\002 \001(\tB\003\340A\002\022\023\n\013descriptio"
+          + "n\030\003 \001(\t\022L\n\017deployed_models\030\004 \003(\0132..googl"
+          + "e.cloud.aiplatform.v1beta1.DeployedModel"
+          + "B\003\340A\003\022R\n\rtraffic_split\030\005 \003(\0132;.google.cl"
+          + "oud.aiplatform.v1beta1.Endpoint.TrafficS"
+          + "plitEntry\022\014\n\004etag\030\006 \001(\t\022E\n\006labels\030\007 \003(\0132"
+          + "5.google.cloud.aiplatform.v1beta1.Endpoi"
+          + "nt.LabelsEntry\0224\n\013create_time\030\010 \001(\0132\032.go"
+          + "ogle.protobuf.TimestampB\003\340A\003\0224\n\013update_t"
+          + "ime\030\t \001(\0132\032.google.protobuf.TimestampB\003\340"
+          + "A\003\022H\n\017encryption_spec\030\n \001(\0132/.google.clo"
+          + "ud.aiplatform.v1beta1.EncryptionSpec\0323\n\021"
+          + "TrafficSplitEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030"
+          + "\002 \001(\005:\0028\001\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n"
+          + "\005value\030\002 \001(\t:\0028\001:e\352Ab\n\"aiplatform.google"
+          + "apis.com/Endpoint\022<projects/{project}/lo"
+          + "cations/{location}/endpoints/{endpoint}\""
+          + "\212\004\n\rDeployedModel\022R\n\023dedicated_resources"
+          + "\030\007 \001(\01323.google.cloud.aiplatform.v1beta1"
+          + ".DedicatedResourcesH\000\022R\n\023automatic_resou"
+          + "rces\030\010 \001(\01323.google.cloud.aiplatform.v1b"
+          + "eta1.AutomaticResourcesH\000\022\017\n\002id\030\001 \001(\tB\003\340"
+          + "A\003\0226\n\005model\030\002 \001(\tB\'\340A\002\372A!\n\037aiplatform.go"
+          + "ogleapis.com/Model\022\024\n\014display_name\030\003 \001(\t"
+          + "\0224\n\013create_time\030\006 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\022J\n\020explanation_spec\030\t \001(\013"
+          + "20.google.cloud.aiplatform.v1beta1.Expla"
+          + "nationSpec\022\027\n\017service_account\030\013 \001(\t\022 \n\030e"
+          + "nable_container_logging\030\014 \001(\010\022\035\n\025enable_"
+          + "access_logging\030\r \001(\010B\026\n\024prediction_resou"
+          + "rcesB\201\001\n#com.google.cloud.aiplatform.v1b"
+          + "eta1B\rEndpointProtoP\001ZIgoogle.golang.org"
+          + "/genproto/googleapis/cloud/aiplatform/v1"
+          + "beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -100,6 +103,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -120,6 +124,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Labels",
               "CreateTime",
               "UpdateTime",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Endpoint_TrafficSplitEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Endpoint_descriptor.getNestedTypes().get(0);
@@ -164,6 +169,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
index a9b24398d..1ace460eb 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
@@ -174,7 +174,7 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * <pre>
-   * Variables that reference a $(VAR_NAME) are expanded
+   * Required. Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -183,7 +183,7 @@ public com.google.protobuf.ByteString getNameBytes() {
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2;</code>
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The value.
    */
@@ -203,7 +203,7 @@ public java.lang.String getValue() {
    *
    *
    * <pre>
-   * Variables that reference a $(VAR_NAME) are expanded
+   * Required. Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -212,7 +212,7 @@ public java.lang.String getValue() {
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2;</code>
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The bytes for value.
    */
@@ -672,7 +672,7 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -681,7 +681,7 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @return The value.
      */
@@ -700,7 +700,7 @@ public java.lang.String getValue() {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -709,7 +709,7 @@ public java.lang.String getValue() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @return The bytes for value.
      */
@@ -728,7 +728,7 @@ public com.google.protobuf.ByteString getValueBytes() {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -737,7 +737,7 @@ public com.google.protobuf.ByteString getValueBytes() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @param value The value to set.
      * @return This builder for chaining.
@@ -755,7 +755,7 @@ public Builder setValue(java.lang.String value) {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -764,7 +764,7 @@ public Builder setValue(java.lang.String value) {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @return This builder for chaining.
      */
@@ -778,7 +778,7 @@ public Builder clearValue() {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -787,7 +787,7 @@ public Builder clearValue() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @param value The bytes for value to set.
      * @return This builder for chaining.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
index e160feabf..2317b8c6d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
@@ -52,7 +52,7 @@ public interface EnvVarOrBuilder
    *
    *
    * <pre>
-   * Variables that reference a $(VAR_NAME) are expanded
+   * Required. Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -61,7 +61,7 @@ public interface EnvVarOrBuilder
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2;</code>
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The value.
    */
@@ -70,7 +70,7 @@ public interface EnvVarOrBuilder
    *
    *
    * <pre>
-   * Variables that reference a $(VAR_NAME) are expanded
+   * Required. Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -79,7 +79,7 @@ public interface EnvVarOrBuilder
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2;</code>
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The bytes for value.
    */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
index ca406038d..9a6720956 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
@@ -43,12 +43,12 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n-google/cloud/aiplatform/v1beta1/env_va"
           + "r.proto\022\037google.cloud.aiplatform.v1beta1"
           + "\032\037google/api/field_behavior.proto\032\034googl"
-          + "e/api/annotations.proto\"*\n\006EnvVar\022\021\n\004nam"
-          + "e\030\001 \001(\tB\003\340A\002\022\r\n\005value\030\002 \001(\tB\177\n#com.googl"
-          + "e.cloud.aiplatform.v1beta1B\013EnvVarProtoP"
-          + "\001ZIgoogle.golang.org/genproto/googleapis"
-          + "/cloud/aiplatform/v1beta1;aiplatformb\006pr"
-          + "oto3"
+          + "e/api/annotations.proto\"/\n\006EnvVar\022\021\n\004nam"
+          + "e\030\001 \001(\tB\003\340A\002\022\022\n\005value\030\002 \001(\tB\003\340A\002B\177\n#com."
+          + "google.cloud.aiplatform.v1beta1B\013EnvVarP"
+          + "rotoP\001ZIgoogle.golang.org/genproto/googl"
+          + "eapis/cloud/aiplatform/v1beta1;aiplatfor"
+          + "mb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
index 4c06cea68..f0985dbd5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
@@ -110,6 +110,23 @@ private ExplainRequest(
                 parameters_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 42:
+            {
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder subBuilder = null;
+              if (explanationSpecOverride_ != null) {
+                subBuilder = explanationSpecOverride_.toBuilder();
+              }
+              explanationSpecOverride_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(explanationSpecOverride_);
+                explanationSpecOverride_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -374,6 +391,79 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
     return getParameters();
   }
 
+  public static final int EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER = 5;
+  private com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanationSpecOverride_;
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   *
+   * @return Whether the explanationSpecOverride field is set.
+   */
+  @java.lang.Override
+  public boolean hasExplanationSpecOverride() {
+    return explanationSpecOverride_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   *
+   * @return The explanationSpecOverride.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getExplanationSpecOverride() {
+    return explanationSpecOverride_ == null
+        ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
+        : explanationSpecOverride_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
+      getExplanationSpecOverrideOrBuilder() {
+    return getExplanationSpecOverride();
+  }
+
   public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER = 3;
   private volatile java.lang.Object deployedModelId_;
   /**
@@ -451,6 +541,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (parameters_ != null) {
       output.writeMessage(4, getParameters());
     }
+    if (explanationSpecOverride_ != null) {
+      output.writeMessage(5, getExplanationSpecOverride());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -472,6 +565,10 @@ public int getSerializedSize() {
     if (parameters_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getParameters());
     }
+    if (explanationSpecOverride_ != null) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(5, getExplanationSpecOverride());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -494,6 +591,10 @@ public boolean equals(final java.lang.Object obj) {
     if (hasParameters()) {
       if (!getParameters().equals(other.getParameters())) return false;
     }
+    if (hasExplanationSpecOverride() != other.hasExplanationSpecOverride()) return false;
+    if (hasExplanationSpecOverride()) {
+      if (!getExplanationSpecOverride().equals(other.getExplanationSpecOverride())) return false;
+    }
     if (!getDeployedModelId().equals(other.getDeployedModelId())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
@@ -516,6 +617,10 @@ public int hashCode() {
       hash = (37 * hash) + PARAMETERS_FIELD_NUMBER;
       hash = (53 * hash) + getParameters().hashCode();
     }
+    if (hasExplanationSpecOverride()) {
+      hash = (37 * hash) + EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER;
+      hash = (53 * hash) + getExplanationSpecOverride().hashCode();
+    }
     hash = (37 * hash) + DEPLOYED_MODEL_ID_FIELD_NUMBER;
     hash = (53 * hash) + getDeployedModelId().hashCode();
     hash = (29 * hash) + unknownFields.hashCode();
@@ -679,6 +784,12 @@ public Builder clear() {
         parameters_ = null;
         parametersBuilder_ = null;
       }
+      if (explanationSpecOverrideBuilder_ == null) {
+        explanationSpecOverride_ = null;
+      } else {
+        explanationSpecOverride_ = null;
+        explanationSpecOverrideBuilder_ = null;
+      }
       deployedModelId_ = "";
 
       return this;
@@ -724,6 +835,11 @@ public com.google.cloud.aiplatform.v1beta1.ExplainRequest buildPartial() {
       } else {
         result.parameters_ = parametersBuilder_.build();
       }
+      if (explanationSpecOverrideBuilder_ == null) {
+        result.explanationSpecOverride_ = explanationSpecOverride_;
+      } else {
+        result.explanationSpecOverride_ = explanationSpecOverrideBuilder_.build();
+      }
       result.deployedModelId_ = deployedModelId_;
       onBuilt();
       return result;
@@ -809,6 +925,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.ExplainRequest othe
       if (other.hasParameters()) {
         mergeParameters(other.getParameters());
       }
+      if (other.hasExplanationSpecOverride()) {
+        mergeExplanationSpecOverride(other.getExplanationSpecOverride());
+      }
       if (!other.getDeployedModelId().isEmpty()) {
         deployedModelId_ = other.deployedModelId_;
         onChanged();
@@ -1701,6 +1820,270 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
       return parametersBuilder_;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanationSpecOverride_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>
+        explanationSpecOverrideBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     *
+     * @return Whether the explanationSpecOverride field is set.
+     */
+    public boolean hasExplanationSpecOverride() {
+      return explanationSpecOverrideBuilder_ != null || explanationSpecOverride_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     *
+     * @return The explanationSpecOverride.
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride
+        getExplanationSpecOverride() {
+      if (explanationSpecOverrideBuilder_ == null) {
+        return explanationSpecOverride_ == null
+            ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
+            : explanationSpecOverride_;
+      } else {
+        return explanationSpecOverrideBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public Builder setExplanationSpecOverride(
+        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride value) {
+      if (explanationSpecOverrideBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        explanationSpecOverride_ = value;
+        onChanged();
+      } else {
+        explanationSpecOverrideBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public Builder setExplanationSpecOverride(
+        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder builderForValue) {
+      if (explanationSpecOverrideBuilder_ == null) {
+        explanationSpecOverride_ = builderForValue.build();
+        onChanged();
+      } else {
+        explanationSpecOverrideBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public Builder mergeExplanationSpecOverride(
+        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride value) {
+      if (explanationSpecOverrideBuilder_ == null) {
+        if (explanationSpecOverride_ != null) {
+          explanationSpecOverride_ =
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.newBuilder(
+                      explanationSpecOverride_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          explanationSpecOverride_ = value;
+        }
+        onChanged();
+      } else {
+        explanationSpecOverrideBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public Builder clearExplanationSpecOverride() {
+      if (explanationSpecOverrideBuilder_ == null) {
+        explanationSpecOverride_ = null;
+        onChanged();
+      } else {
+        explanationSpecOverride_ = null;
+        explanationSpecOverrideBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder
+        getExplanationSpecOverrideBuilder() {
+
+      onChanged();
+      return getExplanationSpecOverrideFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
+        getExplanationSpecOverrideOrBuilder() {
+      if (explanationSpecOverrideBuilder_ != null) {
+        return explanationSpecOverrideBuilder_.getMessageOrBuilder();
+      } else {
+        return explanationSpecOverride_ == null
+            ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
+            : explanationSpecOverride_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>
+        getExplanationSpecOverrideFieldBuilder() {
+      if (explanationSpecOverrideBuilder_ == null) {
+        explanationSpecOverrideBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>(
+                getExplanationSpecOverride(), getParentForChildren(), isClean());
+        explanationSpecOverride_ = null;
+      }
+      return explanationSpecOverrideBuilder_;
+    }
+
     private java.lang.Object deployedModelId_ = "";
     /**
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
index 49654405e..05f8740af 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
@@ -196,6 +196,66 @@ public interface ExplainRequestOrBuilder
    */
   com.google.protobuf.ValueOrBuilder getParametersOrBuilder();
 
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   *
+   * @return Whether the explanationSpecOverride field is set.
+   */
+  boolean hasExplanationSpecOverride();
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   *
+   * @return The explanationSpecOverride.
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getExplanationSpecOverride();
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
+      getExplanationSpecOverrideOrBuilder();
+
   /**
    *
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
index fa4e9660d..511c22b5e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
@@ -10318,8 +10318,8 @@ public int getInputsCount() {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10354,8 +10354,8 @@ public boolean containsInputs(java.lang.String key) {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10381,8 +10381,8 @@ public boolean containsInputs(java.lang.String key) {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10414,8 +10414,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata get
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11093,8 +11093,8 @@ public int getInputsCount() {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11129,8 +11129,8 @@ public boolean containsInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11156,8 +11156,8 @@ public boolean containsInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11190,8 +11190,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata get
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11231,8 +11231,8 @@ public Builder clearInputs() {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11266,8 +11266,8 @@ public Builder removeInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11299,8 +11299,8 @@ public Builder putInputs(
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
index fc2ca5493..e543a0496 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
@@ -33,8 +33,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -55,8 +55,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -82,8 +82,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -106,8 +106,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -130,8 +130,8 @@ com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata getInputsO
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
new file mode 100644
index 000000000..e1ed5ec8d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
@@ -0,0 +1,2094 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/explanation.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+/**
+ *
+ *
+ * <pre>
+ * The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
+ * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride}
+ */
+public final class ExplanationMetadataOverride extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+    ExplanationMetadataOverrideOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExplanationMetadataOverride.newBuilder() to construct.
+  private ExplanationMetadataOverride(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExplanationMetadataOverride() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExplanationMetadataOverride();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExplanationMetadataOverride(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                inputs_ =
+                    com.google.protobuf.MapField.newMapField(InputsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<
+                      java.lang.String,
+                      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+                          .InputMetadataOverride>
+                  inputs__ =
+                      input.readMessage(
+                          InputsDefaultEntryHolder.defaultEntry.getParserForType(),
+                          extensionRegistry);
+              inputs_.getMutableMap().put(inputs__.getKey(), inputs__.getValue());
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 1:
+        return internalGetInputs();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.class,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder.class);
+  }
+
+  public interface InputMetadataOverrideOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
+     * specified, the original baselines are not overridden.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+     */
+    java.util.List<com.google.protobuf.Value> getInputBaselinesList();
+    /**
+     *
+     *
+     * <pre>
+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
+     * specified, the original baselines are not overridden.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+     */
+    com.google.protobuf.Value getInputBaselines(int index);
+    /**
+     *
+     *
+     * <pre>
+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
+     * specified, the original baselines are not overridden.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+     */
+    int getInputBaselinesCount();
+    /**
+     *
+     *
+     * <pre>
+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
+     * specified, the original baselines are not overridden.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+     */
+    java.util.List<? extends com.google.protobuf.ValueOrBuilder> getInputBaselinesOrBuilderList();
+    /**
+     *
+     *
+     * <pre>
+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
+     * specified, the original baselines are not overridden.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+     */
+    com.google.protobuf.ValueOrBuilder getInputBaselinesOrBuilder(int index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be
+   * overridden.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride}
+   */
+  public static final class InputMetadataOverride extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride)
+      InputMetadataOverrideOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use InputMetadataOverride.newBuilder() to construct.
+    private InputMetadataOverride(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private InputMetadataOverride() {
+      inputBaselines_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new InputMetadataOverride();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private InputMetadataOverride(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                  inputBaselines_ = new java.util.ArrayList<com.google.protobuf.Value>();
+                  mutable_bitField0_ |= 0x00000001;
+                }
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+       * This overrides the `input_baseline` field of the
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+       * object of the corresponding feature's input metadata. If it's not
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+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
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+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
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+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addInputBaselines(com.google.protobuf.Value value) {
+        if (inputBaselinesBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.add(value);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addInputBaselines(int index, com.google.protobuf.Value value) {
+        if (inputBaselinesBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.add(index, value);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addInputBaselines(com.google.protobuf.Value.Builder builderForValue) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.add(builderForValue.build());
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addInputBaselines(
+          int index, com.google.protobuf.Value.Builder builderForValue) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addAllInputBaselines(
+          java.lang.Iterable<? extends com.google.protobuf.Value> values) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(values, inputBaselines_);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder clearInputBaselines() {
+        if (inputBaselinesBuilder_ == null) {
+          inputBaselines_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder removeInputBaselines(int index) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.remove(index);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.Value.Builder getInputBaselinesBuilder(int index) {
+        return getInputBaselinesFieldBuilder().getBuilder(index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.ValueOrBuilder getInputBaselinesOrBuilder(int index) {
+        if (inputBaselinesBuilder_ == null) {
+          return inputBaselines_.get(index);
+        } else {
+          return inputBaselinesBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public java.util.List<? extends com.google.protobuf.ValueOrBuilder>
+          getInputBaselinesOrBuilderList() {
+        if (inputBaselinesBuilder_ != null) {
+          return inputBaselinesBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(inputBaselines_);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.Value.Builder addInputBaselinesBuilder() {
+        return getInputBaselinesFieldBuilder()
+            .addBuilder(com.google.protobuf.Value.getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.Value.Builder addInputBaselinesBuilder(int index) {
+        return getInputBaselinesFieldBuilder()
+            .addBuilder(index, com.google.protobuf.Value.getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public java.util.List<com.google.protobuf.Value.Builder> getInputBaselinesBuilderList() {
+        return getInputBaselinesFieldBuilder().getBuilderList();
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.protobuf.Value,
+              com.google.protobuf.Value.Builder,
+              com.google.protobuf.ValueOrBuilder>
+          getInputBaselinesFieldBuilder() {
+        if (inputBaselinesBuilder_ == null) {
+          inputBaselinesBuilder_ =
+              new com.google.protobuf.RepeatedFieldBuilderV3<
+                  com.google.protobuf.Value,
+                  com.google.protobuf.Value.Builder,
+                  com.google.protobuf.ValueOrBuilder>(
+                  inputBaselines_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          inputBaselines_ = null;
+        }
+        return inputBaselinesBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride)
+    private static final com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+            .InputMetadataOverride
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+              .InputMetadataOverride();
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+            .InputMetadataOverride
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<InputMetadataOverride> PARSER =
+        new com.google.protobuf.AbstractParser<InputMetadataOverride>() {
+          @java.lang.Override
+          public InputMetadataOverride parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new InputMetadataOverride(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<InputMetadataOverride> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<InputMetadataOverride> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+
+  private static final class InputsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        defaultEntry =
+            com.google.protobuf.MapEntry
+                .<java.lang.String,
+                    com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+                        .InputMetadataOverride>
+                    newDefaultInstance(
+                        com.google.cloud.aiplatform.v1beta1.ExplanationProto
+                            .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor,
+                        com.google.protobuf.WireFormat.FieldType.STRING,
+                        "",
+                        com.google.protobuf.WireFormat.FieldType.MESSAGE,
+                        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+                            .InputMetadataOverride.getDefaultInstance());
+  }
+
+  private com.google.protobuf.MapField<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      inputs_;
+
+  private com.google.protobuf.MapField<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      internalGetInputs() {
+    if (inputs_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(InputsDefaultEntryHolder.defaultEntry);
+    }
+    return inputs_;
+  }
+
+  public int getInputsCount() {
+    return internalGetInputs().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public boolean containsInputs(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetInputs().getMap().containsKey(key);
+  }
+  /** Use {@link #getInputsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      getInputs() {
+    return getInputsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      getInputsMap() {
+    return internalGetInputs().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+      getInputsOrDefault(
+          java.lang.String key,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+              defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        map = internalGetInputs().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+      getInputsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        map = internalGetInputs().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetInputs(), InputsDefaultEntryHolder.defaultEntry, 1);
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (java.util.Map.Entry<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        entry : internalGetInputs().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+          inputs__ =
+              InputsDefaultEntryHolder.defaultEntry
+                  .newBuilderForType()
+                  .setKey(entry.getKey())
+                  .setValue(entry.getValue())
+                  .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, inputs__);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride other =
+        (com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride) obj;
+
+    if (!internalGetInputs().equals(other.internalGetInputs())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (!internalGetInputs().getMap().isEmpty()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetInputs().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
+   * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 1:
+          return internalGetInputs();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 1:
+          return internalGetMutableInputs();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.class,
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      internalGetMutableInputs().clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride build() {
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride buildPartial() {
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride result =
+          new com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride(this);
+      int from_bitField0_ = bitField0_;
+      result.inputs_ = internalGetInputs();
+      result.inputs_.makeImmutable();
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride) {
+        return mergeFrom((com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride other) {
+      if (other
+          == com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance())
+        return this;
+      internalGetMutableInputs().mergeFrom(other.internalGetInputs());
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        inputs_;
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        internalGetInputs() {
+      if (inputs_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(InputsDefaultEntryHolder.defaultEntry);
+      }
+      return inputs_;
+    }
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        internalGetMutableInputs() {
+      onChanged();
+      ;
+      if (inputs_ == null) {
+        inputs_ = com.google.protobuf.MapField.newMapField(InputsDefaultEntryHolder.defaultEntry);
+      }
+      if (!inputs_.isMutable()) {
+        inputs_ = inputs_.copy();
+      }
+      return inputs_;
+    }
+
+    public int getInputsCount() {
+      return internalGetInputs().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    @java.lang.Override
+    public boolean containsInputs(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetInputs().getMap().containsKey(key);
+    }
+    /** Use {@link #getInputsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        getInputs() {
+      return getInputsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    @java.lang.Override
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        getInputsMap() {
+      return internalGetInputs().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+        getInputsOrDefault(
+            java.lang.String key,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+                defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+          map = internalGetInputs().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+        getInputsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+          map = internalGetInputs().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearInputs() {
+      internalGetMutableInputs().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder removeInputs(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableInputs().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        getMutableInputs() {
+      return internalGetMutableInputs().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder putInputs(
+        java.lang.String key,
+        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+            value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableInputs().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder putAllInputs(
+        java.util.Map<
+                java.lang.String,
+                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+                    .InputMetadataOverride>
+            values) {
+      internalGetMutableInputs().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+  private static final com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride();
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExplanationMetadataOverride> PARSER =
+      new com.google.protobuf.AbstractParser<ExplanationMetadataOverride>() {
+        @java.lang.Override
+        public ExplanationMetadataOverride parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExplanationMetadataOverride(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExplanationMetadataOverride> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExplanationMetadataOverride> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
new file mode 100644
index 000000000..d668b24b2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
@@ -0,0 +1,120 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/explanation.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public interface ExplanationMetadataOverrideOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  int getInputsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  boolean containsInputs(java.lang.String key);
+  /** Use {@link #getInputsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      getInputsMap();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+      getInputsOrDefault(
+          java.lang.String key,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+              defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+      getInputsOrThrow(java.lang.String key);
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
index e4612aeb9..eb75dc2a5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
@@ -466,7 +466,7 @@ public int getTopK() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -489,7 +489,7 @@ public boolean hasOutputIndices() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -514,7 +514,7 @@ public com.google.protobuf.ListValue getOutputIndices() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1860,7 +1860,7 @@ public Builder clearTopK() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1882,7 +1882,7 @@ public boolean hasOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1910,7 +1910,7 @@ public com.google.protobuf.ListValue getOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1940,7 +1940,7 @@ public Builder setOutputIndices(com.google.protobuf.ListValue value) {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1967,7 +1967,7 @@ public Builder setOutputIndices(com.google.protobuf.ListValue.Builder builderFor
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2001,7 +2001,7 @@ public Builder mergeOutputIndices(com.google.protobuf.ListValue value) {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2029,7 +2029,7 @@ public Builder clearOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2051,7 +2051,7 @@ public com.google.protobuf.ListValue.Builder getOutputIndicesBuilder() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2077,7 +2077,7 @@ public com.google.protobuf.ListValueOrBuilder getOutputIndicesOrBuilder() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
index 49e328159..481e2c415 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
@@ -200,7 +200,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -220,7 +220,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -240,7 +240,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
index 024a4c76c..5dba6213f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
@@ -71,6 +71,22 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_FeatureNoiseSigma_NoiseSigmaForFeature_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_FeatureNoiseSigma_NoiseSigmaForFeature_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -128,10 +144,23 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "gle.cloud.aiplatform.v1beta1.FeatureNois"
           + "eSigma.NoiseSigmaForFeature\0323\n\024NoiseSigm"
           + "aForFeature\022\014\n\004name\030\001 \001(\t\022\r\n\005sigma\030\002 \001(\002"
-          + "B\204\001\n#com.google.cloud.aiplatform.v1beta1"
-          + "B\020ExplanationProtoP\001ZIgoogle.golang.org/"
-          + "genproto/googleapis/cloud/aiplatform/v1b"
-          + "eta1;aiplatformb\006proto3"
+          + "\"\265\001\n\027ExplanationSpecOverride\022J\n\nparamete"
+          + "rs\030\001 \001(\01326.google.cloud.aiplatform.v1bet"
+          + "a1.ExplanationParameters\022N\n\010metadata\030\002 \001"
+          + "(\0132<.google.cloud.aiplatform.v1beta1.Exp"
+          + "lanationMetadataOverride\"\312\002\n\033Explanation"
+          + "MetadataOverride\022]\n\006inputs\030\001 \003(\0132H.googl"
+          + "e.cloud.aiplatform.v1beta1.ExplanationMe"
+          + "tadataOverride.InputsEntryB\003\340A\002\032H\n\025Input"
+          + "MetadataOverride\022/\n\017input_baselines\030\001 \003("
+          + "\0132\026.google.protobuf.Value\032\201\001\n\013InputsEntr"
+          + "y\022\013\n\003key\030\001 \001(\t\022a\n\005value\030\002 \001(\0132R.google.c"
+          + "loud.aiplatform.v1beta1.ExplanationMetad"
+          + "ataOverride.InputMetadataOverride:\0028\001B\204\001"
+          + "\n#com.google.cloud.aiplatform.v1beta1B\020E"
+          + "xplanationProtoP\001ZIgoogle.golang.org/gen"
+          + "proto/googleapis/cloud/aiplatform/v1beta"
+          + "1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -243,6 +272,42 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new java.lang.String[] {
               "Name", "Sigma",
             });
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor =
+        getDescriptor().getMessageTypes().get(10);
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor,
+            new java.lang.String[] {
+              "Parameters", "Metadata",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor =
+        getDescriptor().getMessageTypes().get(11);
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor,
+            new java.lang.String[] {
+              "Inputs",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor,
+            new java.lang.String[] {
+              "InputBaselines",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
     registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
new file mode 100644
index 000000000..0ceb1bee8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
@@ -0,0 +1,1051 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/explanation.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+/**
+ *
+ *
+ * <pre>
+ * The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online
+ * explanation][PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationSpecOverride}
+ */
+public final class ExplanationSpecOverride extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
+    ExplanationSpecOverrideOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExplanationSpecOverride.newBuilder() to construct.
+  private ExplanationSpecOverride(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExplanationSpecOverride() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExplanationSpecOverride();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExplanationSpecOverride(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder subBuilder = null;
+              if (parameters_ != null) {
+                subBuilder = parameters_.toBuilder();
+              }
+              parameters_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.ExplanationParameters.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(parameters_);
+                parameters_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder subBuilder =
+                  null;
+              if (metadata_ != null) {
+                subBuilder = metadata_.toBuilder();
+              }
+              metadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metadata_);
+                metadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.class,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder.class);
+  }
+
+  public static final int PARAMETERS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters_;
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   *
+   * @return Whether the parameters field is set.
+   */
+  @java.lang.Override
+  public boolean hasParameters() {
+    return parameters_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   *
+   * @return The parameters.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationParameters getParameters() {
+    return parameters_ == null
+        ? com.google.cloud.aiplatform.v1beta1.ExplanationParameters.getDefaultInstance()
+        : parameters_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder
+      getParametersOrBuilder() {
+    return getParameters();
+  }
+
+  public static final int METADATA_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetadata() {
+    return metadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   *
+   * @return The metadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride getMetadata() {
+    return metadata_ == null
+        ? com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance()
+        : metadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder
+      getMetadataOrBuilder() {
+    return getMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (parameters_ != null) {
+      output.writeMessage(1, getParameters());
+    }
+    if (metadata_ != null) {
+      output.writeMessage(2, getMetadata());
+    }
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+  /**
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+   * The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online
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+   * </pre>
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+    public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride other) {
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+    @java.lang.Override
+    public Builder mergeFrom(
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride parsedMessage = null;
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+    private com.google.protobuf.SingleFieldBuilderV3<
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+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     *
+     * @return Whether the parameters field is set.
+     */
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+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     *
+     * @return The parameters.
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationParameters getParameters() {
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+      } else {
+        return parametersBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     */
+    public Builder setParameters(com.google.cloud.aiplatform.v1beta1.ExplanationParameters value) {
+      if (parametersBuilder_ == null) {
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+        }
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+        onChanged();
+      } else {
+        parametersBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     */
+    public Builder setParameters(
+        com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder builderForValue) {
+      if (parametersBuilder_ == null) {
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+      } else {
+        parametersBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     */
+    public Builder mergeParameters(
+        com.google.cloud.aiplatform.v1beta1.ExplanationParameters value) {
+      if (parametersBuilder_ == null) {
+        if (parameters_ != null) {
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+                  .buildPartial();
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+          parameters_ = value;
+        }
+        onChanged();
+      } else {
+        parametersBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     */
+    public Builder clearParameters() {
+      if (parametersBuilder_ == null) {
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+        parameters_ = null;
+        parametersBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder
+        getParametersBuilder() {
+
+      onChanged();
+      return getParametersFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder
+        getParametersOrBuilder() {
+      if (parametersBuilder_ != null) {
+        return parametersBuilder_.getMessageOrBuilder();
+      } else {
+        return parameters_ == null
+            ? com.google.cloud.aiplatform.v1beta1.ExplanationParameters.getDefaultInstance()
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+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
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+            com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder,
+            com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder>
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+                com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder,
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+    private com.google.protobuf.SingleFieldBuilderV3<
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+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
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+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     *
+     * @return Whether the metadata field is set.
+     */
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+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
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+     * @return The metadata.
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+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride getMetadata() {
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+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public Builder setMetadata(
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+      if (metadataBuilder_ == null) {
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+        metadata_ = value;
+        onChanged();
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+        metadataBuilder_.setMessage(value);
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+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public Builder setMetadata(
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+        metadataBuilder_.setMessage(builderForValue.build());
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+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
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+    public Builder mergeMetadata(
+        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride value) {
+      if (metadataBuilder_ == null) {
+        if (metadata_ != null) {
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+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.newBuilder(metadata_)
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+        metadataBuilder_.mergeFrom(value);
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+
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public Builder clearMetadata() {
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+        metadata_ = null;
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+        metadata_ = null;
+        metadataBuilder_ = null;
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+
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
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+      onChanged();
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+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder
+        getMetadataOrBuilder() {
+      if (metadataBuilder_ != null) {
+        return metadataBuilder_.getMessageOrBuilder();
+      } else {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance()
+            : metadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder>
+        getMetadataFieldBuilder() {
+      if (metadataBuilder_ == null) {
+        metadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride,
+                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
+                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder>(
+                getMetadata(), getParentForChildren(), isClean());
+        metadata_ = null;
+      }
+      return metadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
+  private static final com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride();
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExplanationSpecOverride> PARSER =
+      new com.google.protobuf.AbstractParser<ExplanationSpecOverride>() {
+        @java.lang.Override
+        public ExplanationSpecOverride parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExplanationSpecOverride(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExplanationSpecOverride> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExplanationSpecOverride> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
new file mode 100644
index 000000000..390082aab
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
@@ -0,0 +1,101 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/explanation.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public interface ExplanationSpecOverrideOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   *
+   * @return Whether the parameters field is set.
+   */
+  boolean hasParameters();
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   *
+   * @return The parameters.
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationParameters getParameters();
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder getParametersOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  boolean hasMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   *
+   * @return The metadata.
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride getMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder getMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
index 12a7d312f..15577f997 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
@@ -169,14 +169,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -188,14 +188,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -207,14 +207,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -227,8 +227,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -243,8 +243,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -259,8 +259,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -458,14 +458,14 @@ public com.google.protobuf.ByteString getExportFormatIdBytes() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -480,14 +480,14 @@ public boolean hasArtifactDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -504,14 +504,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -530,8 +530,8 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -549,8 +549,8 @@ public boolean hasImageDestination() {
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -570,8 +570,8 @@ public com.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination getImage
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1102,14 +1102,14 @@ public Builder setExportFormatIdBytes(com.google.protobuf.ByteString value) {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1123,14 +1123,14 @@ public boolean hasArtifactDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1150,14 +1150,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1180,14 +1180,14 @@ public Builder setArtifactDestination(
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1207,14 +1207,14 @@ public Builder setArtifactDestination(
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1241,14 +1241,14 @@ public Builder mergeArtifactDestination(
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1268,14 +1268,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1290,14 +1290,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1316,14 +1316,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1357,8 +1357,8 @@ public Builder clearArtifactDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1375,8 +1375,8 @@ public boolean hasImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1401,8 +1401,8 @@ public boolean hasImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1428,8 +1428,8 @@ public Builder setImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1453,8 +1453,8 @@ public Builder setImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1485,8 +1485,8 @@ public Builder mergeImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1509,8 +1509,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1528,8 +1528,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1552,8 +1552,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
index ec7a1316b..b76ec6200 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
@@ -27,6 +27,7 @@
  * supported for Datasets containing DataItems.
  * If any of the filters in this message are to match nothing, then they can be
  * set as '-' (the minus sign).
+ * Supported only for unstructured Datasets.
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.FilterSplit}
@@ -141,7 +142,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -169,7 +170,7 @@ public java.lang.String getTrainingFilter() {
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -200,7 +201,7 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -228,7 +229,7 @@ public java.lang.String getValidationFilter() {
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -259,7 +260,7 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -287,7 +288,7 @@ public java.lang.String getTestFilter() {
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -494,6 +495,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * supported for Datasets containing DataItems.
    * If any of the filters in this message are to match nothing, then they can be
    * set as '-' (the minus sign).
+   * Supported only for unstructured Datasets.
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.FilterSplit}
@@ -670,7 +672,7 @@ public Builder mergeFrom(
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -697,7 +699,7 @@ public java.lang.String getTrainingFilter() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -724,7 +726,7 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -750,7 +752,7 @@ public Builder setTrainingFilter(java.lang.String value) {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -772,7 +774,7 @@ public Builder clearTrainingFilter() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -801,7 +803,7 @@ public Builder setTrainingFilterBytes(com.google.protobuf.ByteString value) {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -828,7 +830,7 @@ public java.lang.String getValidationFilter() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -855,7 +857,7 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -881,7 +883,7 @@ public Builder setValidationFilter(java.lang.String value) {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -903,7 +905,7 @@ public Builder clearValidationFilter() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -932,7 +934,7 @@ public Builder setValidationFilterBytes(com.google.protobuf.ByteString value) {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -959,7 +961,7 @@ public java.lang.String getTestFilter() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -986,7 +988,7 @@ public com.google.protobuf.ByteString getTestFilterBytes() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -1012,7 +1014,7 @@ public Builder setTestFilter(java.lang.String value) {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -1034,7 +1036,7 @@ public Builder clearTestFilter() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
index 1ea8fdbbd..b859b4ca0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
@@ -31,7 +31,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -48,7 +48,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -66,7 +66,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -83,7 +83,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -101,7 +101,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -118,7 +118,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
index 5f81ef874..090e468b4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
@@ -27,7 +27,7 @@
  * `test_fraction` may optionally be provided, they must sum to up to 1. If the
  * provided ones sum to less than 1, the remainder is assigned to sets as
  * decided by AI Platform. If none of the fractions are set, by default roughly
- * 80% of data will be used for training, 10% for validation, and 10% for test.
+ * 80% of data is used for training, 10% for validation, and 10% for test.
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.FractionSplit}
@@ -374,7 +374,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * `test_fraction` may optionally be provided, they must sum to up to 1. If the
    * provided ones sum to less than 1, the remainder is assigned to sets as
    * decided by AI Platform. If none of the fractions are set, by default roughly
-   * 80% of data will be used for training, 10% for validation, and 10% for test.
+   * 80% of data is used for training, 10% for validation, and 10% for test.
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.FractionSplit}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
index 69a860a4e..cd90bc6c8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
@@ -241,6 +241,23 @@ private HyperparameterTuningJob(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 138:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -1045,6 +1062,60 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 17;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -1103,6 +1174,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 16);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(17, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -1164,6 +1238,9 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(16, labels__);
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(17, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1216,6 +1293,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getError().equals(other.getError())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1275,6 +1356,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1506,6 +1591,12 @@ public Builder clear() {
         errorBuilder_ = null;
       }
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1586,6 +1677,11 @@ public com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob buildPartial(
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1705,6 +1801,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.HyperparameterTunin
         mergeError(other.getError());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -4199,6 +4298,211 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
index 7634369d1..8de927964 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
@@ -564,4 +564,45 @@ public interface HyperparameterTuningJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 16;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
index d96f4404b..fac475138 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
@@ -49,40 +49,43 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "aiplatform.v1beta1\032\037google/api/field_beh"
           + "avior.proto\032\031google/api/resource.proto\0320"
           + "google/cloud/aiplatform/v1beta1/custom_j"
-          + "ob.proto\032/google/cloud/aiplatform/v1beta"
-          + "1/job_state.proto\032+google/cloud/aiplatfo"
-          + "rm/v1beta1/study.proto\032\037google/protobuf/"
-          + "timestamp.proto\032\027google/rpc/status.proto"
-          + "\032\034google/api/annotations.proto\"\317\007\n\027Hyper"
-          + "parameterTuningJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n"
-          + "\014display_name\030\002 \001(\tB\003\340A\002\022C\n\nstudy_spec\030\004"
-          + " \001(\0132*.google.cloud.aiplatform.v1beta1.S"
-          + "tudySpecB\003\340A\002\022\034\n\017max_trial_count\030\005 \001(\005B\003"
-          + "\340A\002\022!\n\024parallel_trial_count\030\006 \001(\005B\003\340A\002\022\036"
-          + "\n\026max_failed_trial_count\030\007 \001(\005\022K\n\016trial_"
-          + "job_spec\030\010 \001(\0132..google.cloud.aiplatform"
-          + ".v1beta1.CustomJobSpecB\003\340A\002\022;\n\006trials\030\t "
-          + "\003(\0132&.google.cloud.aiplatform.v1beta1.Tr"
-          + "ialB\003\340A\003\022=\n\005state\030\n \001(\0162).google.cloud.a"
-          + "iplatform.v1beta1.JobStateB\003\340A\003\0224\n\013creat"
-          + "e_time\030\013 \001(\0132\032.google.protobuf.Timestamp"
-          + "B\003\340A\003\0223\n\nstart_time\030\014 \001(\0132\032.google.proto"
-          + "buf.TimestampB\003\340A\003\0221\n\010end_time\030\r \001(\0132\032.g"
-          + "oogle.protobuf.TimestampB\003\340A\003\0224\n\013update_"
-          + "time\030\016 \001(\0132\032.google.protobuf.TimestampB\003"
-          + "\340A\003\022&\n\005error\030\017 \001(\0132\022.google.rpc.StatusB\003"
-          + "\340A\003\022T\n\006labels\030\020 \003(\0132D.google.cloud.aipla"
-          + "tform.v1beta1.HyperparameterTuningJob.La"
-          + "belsEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n"
-          + "\005value\030\002 \001(\t:\0028\001:\225\001\352A\221\001\n1aiplatform.goog"
-          + "leapis.com/HyperparameterTuningJob\022\\proj"
-          + "ects/{project}/locations/{location}/hype"
-          + "rparameterTuningJobs/{hyperparameter_tun"
-          + "ing_job}B\220\001\n#com.google.cloud.aiplatform"
-          + ".v1beta1B\034HyperparameterTuningJobProtoP\001"
-          + "ZIgoogle.golang.org/genproto/googleapis/"
-          + "cloud/aiplatform/v1beta1;aiplatformb\006pro"
-          + "to3"
+          + "ob.proto\0325google/cloud/aiplatform/v1beta"
+          + "1/encryption_spec.proto\032/google/cloud/ai"
+          + "platform/v1beta1/job_state.proto\032+google"
+          + "/cloud/aiplatform/v1beta1/study.proto\032\037g"
+          + "oogle/protobuf/timestamp.proto\032\027google/r"
+          + "pc/status.proto\032\034google/api/annotations."
+          + "proto\"\231\010\n\027HyperparameterTuningJob\022\021\n\004nam"
+          + "e\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022"
+          + "C\n\nstudy_spec\030\004 \001(\0132*.google.cloud.aipla"
+          + "tform.v1beta1.StudySpecB\003\340A\002\022\034\n\017max_tria"
+          + "l_count\030\005 \001(\005B\003\340A\002\022!\n\024parallel_trial_cou"
+          + "nt\030\006 \001(\005B\003\340A\002\022\036\n\026max_failed_trial_count\030"
+          + "\007 \001(\005\022K\n\016trial_job_spec\030\010 \001(\0132..google.c"
+          + "loud.aiplatform.v1beta1.CustomJobSpecB\003\340"
+          + "A\002\022;\n\006trials\030\t \003(\0132&.google.cloud.aiplat"
+          + "form.v1beta1.TrialB\003\340A\003\022=\n\005state\030\n \001(\0162)"
+          + ".google.cloud.aiplatform.v1beta1.JobStat"
+          + "eB\003\340A\003\0224\n\013create_time\030\013 \001(\0132\032.google.pro"
+          + "tobuf.TimestampB\003\340A\003\0223\n\nstart_time\030\014 \001(\013"
+          + "2\032.google.protobuf.TimestampB\003\340A\003\0221\n\010end"
+          + "_time\030\r \001(\0132\032.google.protobuf.TimestampB"
+          + "\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google.proto"
+          + "buf.TimestampB\003\340A\003\022&\n\005error\030\017 \001(\0132\022.goog"
+          + "le.rpc.StatusB\003\340A\003\022T\n\006labels\030\020 \003(\0132D.goo"
+          + "gle.cloud.aiplatform.v1beta1.Hyperparame"
+          + "terTuningJob.LabelsEntry\022H\n\017encryption_s"
+          + "pec\030\021 \001(\0132/.google.cloud.aiplatform.v1be"
+          + "ta1.EncryptionSpec\032-\n\013LabelsEntry\022\013\n\003key"
+          + "\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\225\001\352A\221\001\n1aiplat"
+          + "form.googleapis.com/HyperparameterTuning"
+          + "Job\022\\projects/{project}/locations/{locat"
+          + "ion}/hyperparameterTuningJobs/{hyperpara"
+          + "meter_tuning_job}B\220\001\n#com.google.cloud.a"
+          + "iplatform.v1beta1B\034HyperparameterTuningJ"
+          + "obProtoP\001ZIgoogle.golang.org/genproto/go"
+          + "ogleapis/cloud/aiplatform/v1beta1;aiplat"
+          + "formb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -91,6 +94,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.StudyProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -118,6 +122,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Error",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_HyperparameterTuningJob_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_HyperparameterTuningJob_descriptor
@@ -138,6 +143,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.StudyProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
index 3b6605cc0..eb71199dc 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
@@ -553,17 +553,17 @@ public com.google.cloud.aiplatform.v1beta1.TimestampSplitOrBuilder getTimestampS
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -583,17 +583,17 @@ public boolean hasGcsDestination() {
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -616,17 +616,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -649,12 +649,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestinationOrBuilder getGcsDestina
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -676,12 +678,14 @@ public boolean hasBigqueryDestination() {
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -706,12 +710,14 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -799,7 +805,7 @@ public com.google.protobuf.ByteString getDatasetIdBytes() {
    *
    *
    * <pre>
-   * Only applicable to Datasets that have DataItems and Annotations.
+   * Applicable only to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -830,7 +836,7 @@ public java.lang.String getAnnotationsFilter() {
    *
    *
    * <pre>
-   * Only applicable to Datasets that have DataItems and Annotations.
+   * Applicable only to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -864,14 +870,13 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
    *
    *
    * <pre>
-   * Only applicable to custom training.
-   * Google Cloud Storage URI points to a YAML file describing annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-   * https:
-   * //github.com/OAI/OpenAPI-Specification/b
-   * // lob/master/versions/3.0.2.md#schema-object)
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -903,14 +908,13 @@ public java.lang.String getAnnotationSchemaUri() {
    *
    *
    * <pre>
-   * Only applicable to custom training.
-   * Google Cloud Storage URI points to a YAML file describing annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-   * https:
-   * //github.com/OAI/OpenAPI-Specification/b
-   * // lob/master/versions/3.0.2.md#schema-object)
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -2382,17 +2386,17 @@ public com.google.cloud.aiplatform.v1beta1.TimestampSplit.Builder getTimestampSp
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2412,17 +2416,17 @@ public boolean hasGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2452,17 +2456,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2489,17 +2493,17 @@ public Builder setGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestinat
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2524,17 +2528,17 @@ public Builder setGcsDestination(
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2571,17 +2575,17 @@ public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestin
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2611,17 +2615,17 @@ public Builder clearGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2638,17 +2642,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2674,17 +2678,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2728,12 +2732,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2755,12 +2761,14 @@ public boolean hasBigqueryDestination() {
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2792,12 +2800,14 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2827,12 +2837,14 @@ public Builder setBigqueryDestination(
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2859,12 +2871,14 @@ public Builder setBigqueryDestination(
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2904,12 +2918,14 @@ public Builder mergeBigqueryDestination(
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2941,12 +2957,14 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2966,12 +2984,14 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2999,12 +3019,14 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -3183,7 +3205,7 @@ public Builder setDatasetIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3213,7 +3235,7 @@ public java.lang.String getAnnotationsFilter() {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3243,7 +3265,7 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3272,7 +3294,7 @@ public Builder setAnnotationsFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3297,7 +3319,7 @@ public Builder clearAnnotationsFilter() {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3329,14 +3351,13 @@ public Builder setAnnotationsFilterBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3367,14 +3388,13 @@ public java.lang.String getAnnotationSchemaUri() {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3405,14 +3425,13 @@ public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3442,14 +3461,13 @@ public Builder setAnnotationSchemaUri(java.lang.String value) {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3475,14 +3493,13 @@ public Builder clearAnnotationSchemaUri() {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
index aff3c1765..552e4ae07 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
@@ -173,17 +173,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -200,17 +200,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -227,17 +227,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -253,12 +253,14 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -277,12 +279,14 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -301,12 +305,14 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -362,7 +368,7 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to Datasets that have DataItems and Annotations.
+   * Applicable only to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -382,7 +388,7 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to Datasets that have DataItems and Annotations.
+   * Applicable only to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -403,14 +409,13 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to custom training.
-   * Google Cloud Storage URI points to a YAML file describing annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-   * https:
-   * //github.com/OAI/OpenAPI-Specification/b
-   * // lob/master/versions/3.0.2.md#schema-object)
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -431,14 +436,13 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to custom training.
-   * Google Cloud Storage URI points to a YAML file describing annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-   * https:
-   * //github.com/OAI/OpenAPI-Specification/b
-   * // lob/master/versions/3.0.2.md#schema-object)
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
index 5f182f9f1..f90dbd52a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
@@ -142,212 +142,214 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "form/v1beta1/custom_job.proto\0327google/cl"
           + "oud/aiplatform/v1beta1/data_labeling_job"
           + ".proto\032?google/cloud/aiplatform/v1beta1/"
-          + "hyperparameter_tuning_job.proto\032#google/"
-          + "longrunning/operations.proto\032\033google/pro"
-          + "tobuf/empty.proto\032 google/protobuf/field"
-          + "_mask.proto\"\230\001\n\026CreateCustomJobRequest\0229"
-          + "\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.google"
-          + "apis.com/Location\022C\n\ncustom_job\030\002 \001(\0132*."
-          + "google.cloud.aiplatform.v1beta1.CustomJo"
-          + "bB\003\340A\002\"P\n\023GetCustomJobRequest\0229\n\004name\030\001 "
-          + "\001(\tB+\340A\002\372A%\n#aiplatform.googleapis.com/C"
-          + "ustomJob\"\270\001\n\025ListCustomJobsRequest\0229\n\006pa"
-          + "rent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleapis"
-          + ".com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_si"
-          + "ze\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_mas"
-          + "k\030\005 \001(\0132\032.google.protobuf.FieldMask\"r\n\026L"
-          + "istCustomJobsResponse\022?\n\013custom_jobs\030\001 \003"
-          + "(\0132*.google.cloud.aiplatform.v1beta1.Cus"
-          + "tomJob\022\027\n\017next_page_token\030\002 \001(\t\"S\n\026Delet"
-          + "eCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A\002\372A%\n"
-          + "#aiplatform.googleapis.com/CustomJob\"S\n\026"
-          + "CancelCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A"
-          + "\002\372A%\n#aiplatform.googleapis.com/CustomJo"
-          + "b\"\253\001\n\034CreateDataLabelingJobRequest\0229\n\006pa"
-          + "rent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleapis"
-          + ".com/Location\022P\n\021data_labeling_job\030\002 \001(\013"
-          + "20.google.cloud.aiplatform.v1beta1.DataL"
-          + "abelingJobB\003\340A\002\"\\\n\031GetDataLabelingJobReq"
-          + "uest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatform.g"
-          + "oogleapis.com/DataLabelingJob\"\320\001\n\033ListDa"
-          + "taLabelingJobsRequest\0229\n\006parent\030\001 \001(\tB)\340"
-          + "A\002\372A#\n!locations.googleapis.com/Location"
-          + "\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\np"
-          + "age_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032.goo"
-          + "gle.protobuf.FieldMask\022\020\n\010order_by\030\006 \001(\t"
-          + "\"\205\001\n\034ListDataLabelingJobsResponse\022L\n\022dat"
-          + "a_labeling_jobs\030\001 \003(\01320.google.cloud.aip"
-          + "latform.v1beta1.DataLabelingJob\022\027\n\017next_"
-          + "page_token\030\002 \001(\t\"_\n\034DeleteDataLabelingJo"
-          + "bRequest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatfo"
-          + "rm.googleapis.com/DataLabelingJob\"_\n\034Can"
-          + "celDataLabelingJobRequest\022?\n\004name\030\001 \001(\tB"
-          + "1\340A\002\372A+\n)aiplatform.googleapis.com/DataL"
-          + "abelingJob\"\303\001\n$CreateHyperparameterTunin"
-          + "gJobRequest\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!loc"
-          + "ations.googleapis.com/Location\022`\n\031hyperp"
-          + "arameter_tuning_job\030\002 \001(\01328.google.cloud"
-          + ".aiplatform.v1beta1.HyperparameterTuning"
-          + "JobB\003\340A\002\"l\n!GetHyperparameterTuningJobRe"
-          + "quest\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform."
-          + "googleapis.com/HyperparameterTuningJob\"\306"
-          + "\001\n#ListHyperparameterTuningJobsRequest\0229"
-          + "\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.google"
-          + "apis.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpag"
-          + "e_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread"
-          + "_mask\030\005 \001(\0132\032.google.protobuf.FieldMask\""
-          + "\235\001\n$ListHyperparameterTuningJobsResponse"
-          + "\022\\\n\032hyperparameter_tuning_jobs\030\001 \003(\01328.g"
-          + "oogle.cloud.aiplatform.v1beta1.Hyperpara"
-          + "meterTuningJob\022\027\n\017next_page_token\030\002 \001(\t\""
-          + "o\n$DeleteHyperparameterTuningJobRequest\022"
-          + "G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.google"
-          + "apis.com/HyperparameterTuningJob\"o\n$Canc"
-          + "elHyperparameterTuningJobRequest\022G\n\004name"
-          + "\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.googleapis.co"
-          + "m/HyperparameterTuningJob\"\264\001\n\037CreateBatc"
-          + "hPredictionJobRequest\0229\n\006parent\030\001 \001(\tB)\340"
-          + "A\002\372A#\n!locations.googleapis.com/Location"
-          + "\022V\n\024batch_prediction_job\030\002 \001(\01323.google."
-          + "cloud.aiplatform.v1beta1.BatchPrediction"
-          + "JobB\003\340A\002\"b\n\034GetBatchPredictionJobRequest"
-          + "\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.googl"
-          + "eapis.com/BatchPredictionJob\"\301\001\n\036ListBat"
-          + "chPredictionJobsRequest\0229\n\006parent\030\001 \001(\tB"
+          + "hyperparameter_tuning_job.proto\032/google/"
+          + "cloud/aiplatform/v1beta1/operation.proto"
+          + "\032#google/longrunning/operations.proto\032\033g"
+          + "oogle/protobuf/empty.proto\032 google/proto"
+          + "buf/field_mask.proto\032\037google/protobuf/ti"
+          + "mestamp.proto\"\230\001\n\026CreateCustomJobRequest"
+          + "\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.goog"
+          + "leapis.com/Location\022C\n\ncustom_job\030\002 \001(\0132"
+          + "*.google.cloud.aiplatform.v1beta1.Custom"
+          + "JobB\003\340A\002\"P\n\023GetCustomJobRequest\0229\n\004name\030"
+          + "\001 \001(\tB+\340A\002\372A%\n#aiplatform.googleapis.com"
+          + "/CustomJob\"\270\001\n\025ListCustomJobsRequest\0229\n\006"
+          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
+          + "is.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_"
+          + "size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_m"
+          + "ask\030\005 \001(\0132\032.google.protobuf.FieldMask\"r\n"
+          + "\026ListCustomJobsResponse\022?\n\013custom_jobs\030\001"
+          + " \003(\0132*.google.cloud.aiplatform.v1beta1.C"
+          + "ustomJob\022\027\n\017next_page_token\030\002 \001(\t\"S\n\026Del"
+          + "eteCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A\002\372A"
+          + "%\n#aiplatform.googleapis.com/CustomJob\"S"
+          + "\n\026CancelCustomJobRequest\0229\n\004name\030\001 \001(\tB+"
+          + "\340A\002\372A%\n#aiplatform.googleapis.com/Custom"
+          + "Job\"\253\001\n\034CreateDataLabelingJobRequest\0229\n\006"
+          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
+          + "is.com/Location\022P\n\021data_labeling_job\030\002 \001"
+          + "(\01320.google.cloud.aiplatform.v1beta1.Dat"
+          + "aLabelingJobB\003\340A\002\"\\\n\031GetDataLabelingJobR"
+          + "equest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatform"
+          + ".googleapis.com/DataLabelingJob\"\320\001\n\033List"
+          + "DataLabelingJobsRequest\0229\n\006parent\030\001 \001(\tB"
           + ")\340A\002\372A#\n!locations.googleapis.com/Locati"
           + "on\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n"
           + "\npage_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032.g"
-          + "oogle.protobuf.FieldMask\"\216\001\n\037ListBatchPr"
-          + "edictionJobsResponse\022R\n\025batch_prediction"
-          + "_jobs\030\001 \003(\01323.google.cloud.aiplatform.v1"
-          + "beta1.BatchPredictionJob\022\027\n\017next_page_to"
-          + "ken\030\002 \001(\t\"e\n\037DeleteBatchPredictionJobReq"
-          + "uest\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.g"
-          + "oogleapis.com/BatchPredictionJob\"e\n\037Canc"
-          + "elBatchPredictionJobRequest\022B\n\004name\030\001 \001("
-          + "\tB4\340A\002\372A.\n,aiplatform.googleapis.com/Bat"
-          + "chPredictionJob2\333$\n\nJobService\022\323\001\n\017Creat"
-          + "eCustomJob\0227.google.cloud.aiplatform.v1b"
-          + "eta1.CreateCustomJobRequest\032*.google.clo"
-          + "ud.aiplatform.v1beta1.CustomJob\"[\202\323\344\223\002A\""
-          + "3/v1beta1/{parent=projects/*/locations/*"
-          + "}/customJobs:\ncustom_job\332A\021parent,custom"
-          + "_job\022\264\001\n\014GetCustomJob\0224.google.cloud.aip"
-          + "latform.v1beta1.GetCustomJobRequest\032*.go"
-          + "ogle.cloud.aiplatform.v1beta1.CustomJob\""
-          + "B\202\323\344\223\0025\0223/v1beta1/{name=projects/*/locat"
-          + "ions/*/customJobs/*}\332A\004name\022\307\001\n\016ListCust"
-          + "omJobs\0226.google.cloud.aiplatform.v1beta1"
-          + ".ListCustomJobsRequest\0327.google.cloud.ai"
-          + "platform.v1beta1.ListCustomJobsResponse\""
-          + "D\202\323\344\223\0025\0223/v1beta1/{parent=projects/*/loc"
-          + "ations/*}/customJobs\332A\006parent\022\340\001\n\017Delete"
-          + "CustomJob\0227.google.cloud.aiplatform.v1be"
-          + "ta1.DeleteCustomJobRequest\032\035.google.long"
-          + "running.Operation\"u\202\323\344\223\0025*3/v1beta1/{nam"
-          + "e=projects/*/locations/*/customJobs/*}\332A"
-          + "\004name\312A0\n\025google.protobuf.Empty\022\027DeleteO"
-          + "perationMetadata\022\260\001\n\017CancelCustomJob\0227.g"
-          + "oogle.cloud.aiplatform.v1beta1.CancelCus"
-          + "tomJobRequest\032\026.google.protobuf.Empty\"L\202"
-          + "\323\344\223\002?\":/v1beta1/{name=projects/*/locatio"
-          + "ns/*/customJobs/*}:cancel:\001*\332A\004name\022\371\001\n\025"
-          + "CreateDataLabelingJob\022=.google.cloud.aip"
-          + "latform.v1beta1.CreateDataLabelingJobReq"
-          + "uest\0320.google.cloud.aiplatform.v1beta1.D"
-          + "ataLabelingJob\"o\202\323\344\223\002N\"9/v1beta1/{parent"
-          + "=projects/*/locations/*}/dataLabelingJob"
-          + "s:\021data_labeling_job\332A\030parent,data_label"
-          + "ing_job\022\314\001\n\022GetDataLabelingJob\022:.google."
-          + "cloud.aiplatform.v1beta1.GetDataLabeling"
-          + "JobRequest\0320.google.cloud.aiplatform.v1b"
-          + "eta1.DataLabelingJob\"H\202\323\344\223\002;\0229/v1beta1/{"
-          + "name=projects/*/locations/*/dataLabeling"
-          + "Jobs/*}\332A\004name\022\337\001\n\024ListDataLabelingJobs\022"
-          + "<.google.cloud.aiplatform.v1beta1.ListDa"
-          + "taLabelingJobsRequest\032=.google.cloud.aip"
-          + "latform.v1beta1.ListDataLabelingJobsResp"
-          + "onse\"J\202\323\344\223\002;\0229/v1beta1/{parent=projects/"
-          + "*/locations/*}/dataLabelingJobs\332A\006parent"
-          + "\022\362\001\n\025DeleteDataLabelingJob\022=.google.clou"
-          + "d.aiplatform.v1beta1.DeleteDataLabelingJ"
-          + "obRequest\032\035.google.longrunning.Operation"
-          + "\"{\202\323\344\223\002;*9/v1beta1/{name=projects/*/loca"
-          + "tions/*/dataLabelingJobs/*}\332A\004name\312A0\n\025g"
-          + "oogle.protobuf.Empty\022\027DeleteOperationMet"
-          + "adata\022\302\001\n\025CancelDataLabelingJob\022=.google"
-          + ".cloud.aiplatform.v1beta1.CancelDataLabe"
-          + "lingJobRequest\032\026.google.protobuf.Empty\"R"
-          + "\202\323\344\223\002E\"@/v1beta1/{name=projects/*/locati"
-          + "ons/*/dataLabelingJobs/*}:cancel:\001*\332A\004na"
-          + "me\022\252\002\n\035CreateHyperparameterTuningJob\022E.g"
-          + "oogle.cloud.aiplatform.v1beta1.CreateHyp"
-          + "erparameterTuningJobRequest\0328.google.clo"
+          + "oogle.protobuf.FieldMask\022\020\n\010order_by\030\006 \001"
+          + "(\t\"\205\001\n\034ListDataLabelingJobsResponse\022L\n\022d"
+          + "ata_labeling_jobs\030\001 \003(\01320.google.cloud.a"
+          + "iplatform.v1beta1.DataLabelingJob\022\027\n\017nex"
+          + "t_page_token\030\002 \001(\t\"_\n\034DeleteDataLabeling"
+          + "JobRequest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplat"
+          + "form.googleapis.com/DataLabelingJob\"_\n\034C"
+          + "ancelDataLabelingJobRequest\022?\n\004name\030\001 \001("
+          + "\tB1\340A\002\372A+\n)aiplatform.googleapis.com/Dat"
+          + "aLabelingJob\"\303\001\n$CreateHyperparameterTun"
+          + "ingJobRequest\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!l"
+          + "ocations.googleapis.com/Location\022`\n\031hype"
+          + "rparameter_tuning_job\030\002 \001(\01328.google.clo"
           + "ud.aiplatform.v1beta1.HyperparameterTuni"
-          + "ngJob\"\207\001\202\323\344\223\002^\"A/v1beta1/{parent=project"
-          + "s/*/locations/*}/hyperparameterTuningJob"
-          + "s:\031hyperparameter_tuning_job\332A parent,hy"
-          + "perparameter_tuning_job\022\354\001\n\032GetHyperpara"
-          + "meterTuningJob\022B.google.cloud.aiplatform"
-          + ".v1beta1.GetHyperparameterTuningJobReque"
-          + "st\0328.google.cloud.aiplatform.v1beta1.Hyp"
-          + "erparameterTuningJob\"P\202\323\344\223\002C\022A/v1beta1/{"
-          + "name=projects/*/locations/*/hyperparamet"
-          + "erTuningJobs/*}\332A\004name\022\377\001\n\034ListHyperpara"
-          + "meterTuningJobs\022D.google.cloud.aiplatfor"
-          + "m.v1beta1.ListHyperparameterTuningJobsRe"
-          + "quest\032E.google.cloud.aiplatform.v1beta1."
-          + "ListHyperparameterTuningJobsResponse\"R\202\323"
-          + "\344\223\002C\022A/v1beta1/{parent=projects/*/locati"
-          + "ons/*}/hyperparameterTuningJobs\332A\006parent"
-          + "\022\213\002\n\035DeleteHyperparameterTuningJob\022E.goo"
-          + "gle.cloud.aiplatform.v1beta1.DeleteHyper"
-          + "parameterTuningJobRequest\032\035.google.longr"
-          + "unning.Operation\"\203\001\202\323\344\223\002C*A/v1beta1/{nam"
-          + "e=projects/*/locations/*/hyperparameterT"
-          + "uningJobs/*}\332A\004name\312A0\n\025google.protobuf."
-          + "Empty\022\027DeleteOperationMetadata\022\332\001\n\035Cance"
-          + "lHyperparameterTuningJob\022E.google.cloud."
-          + "aiplatform.v1beta1.CancelHyperparameterT"
-          + "uningJobRequest\032\026.google.protobuf.Empty\""
-          + "Z\202\323\344\223\002M\"H/v1beta1/{name=projects/*/locat"
-          + "ions/*/hyperparameterTuningJobs/*}:cance"
-          + "l:\001*\332A\004name\022\213\002\n\030CreateBatchPredictionJob"
-          + "\022@.google.cloud.aiplatform.v1beta1.Creat"
-          + "eBatchPredictionJobRequest\0323.google.clou"
-          + "d.aiplatform.v1beta1.BatchPredictionJob\""
-          + "x\202\323\344\223\002T\"</v1beta1/{parent=projects/*/loc"
-          + "ations/*}/batchPredictionJobs:\024batch_pre"
-          + "diction_job\332A\033parent,batch_prediction_jo"
-          + "b\022\330\001\n\025GetBatchPredictionJob\022=.google.clo"
-          + "ud.aiplatform.v1beta1.GetBatchPrediction"
-          + "JobRequest\0323.google.cloud.aiplatform.v1b"
-          + "eta1.BatchPredictionJob\"K\202\323\344\223\002>\022</v1beta"
-          + "1/{name=projects/*/locations/*/batchPred"
-          + "ictionJobs/*}\332A\004name\022\353\001\n\027ListBatchPredic"
-          + "tionJobs\022?.google.cloud.aiplatform.v1bet"
-          + "a1.ListBatchPredictionJobsRequest\032@.goog"
-          + "le.cloud.aiplatform.v1beta1.ListBatchPre"
-          + "dictionJobsResponse\"M\202\323\344\223\002>\022</v1beta1/{p"
-          + "arent=projects/*/locations/*}/batchPredi"
-          + "ctionJobs\332A\006parent\022\373\001\n\030DeleteBatchPredic"
-          + "tionJob\022@.google.cloud.aiplatform.v1beta"
-          + "1.DeleteBatchPredictionJobRequest\032\035.goog"
-          + "le.longrunning.Operation\"~\202\323\344\223\002>*</v1bet"
-          + "a1/{name=projects/*/locations/*/batchPre"
-          + "dictionJobs/*}\332A\004name\312A0\n\025google.protobu"
-          + "f.Empty\022\027DeleteOperationMetadata\022\313\001\n\030Can"
-          + "celBatchPredictionJob\022@.google.cloud.aip"
-          + "latform.v1beta1.CancelBatchPredictionJob"
-          + "Request\032\026.google.protobuf.Empty\"U\202\323\344\223\002H\""
-          + "C/v1beta1/{name=projects/*/locations/*/b"
-          + "atchPredictionJobs/*}:cancel:\001*\332A\004name\032M"
-          + "\312A\031aiplatform.googleapis.com\322A.https://w"
-          + "ww.googleapis.com/auth/cloud-platformB\203\001"
-          + "\n#com.google.cloud.aiplatform.v1beta1B\017J"
-          + "obServiceProtoP\001ZIgoogle.golang.org/genp"
-          + "roto/googleapis/cloud/aiplatform/v1beta1"
-          + ";aiplatformb\006proto3"
+          + "ngJobB\003\340A\002\"l\n!GetHyperparameterTuningJob"
+          + "Request\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatfor"
+          + "m.googleapis.com/HyperparameterTuningJob"
+          + "\"\306\001\n#ListHyperparameterTuningJobsRequest"
+          + "\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.goog"
+          + "leapis.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tp"
+          + "age_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tre"
+          + "ad_mask\030\005 \001(\0132\032.google.protobuf.FieldMas"
+          + "k\"\235\001\n$ListHyperparameterTuningJobsRespon"
+          + "se\022\\\n\032hyperparameter_tuning_jobs\030\001 \003(\01328"
+          + ".google.cloud.aiplatform.v1beta1.Hyperpa"
+          + "rameterTuningJob\022\027\n\017next_page_token\030\002 \001("
+          + "\t\"o\n$DeleteHyperparameterTuningJobReques"
+          + "t\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.goog"
+          + "leapis.com/HyperparameterTuningJob\"o\n$Ca"
+          + "ncelHyperparameterTuningJobRequest\022G\n\004na"
+          + "me\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.googleapis."
+          + "com/HyperparameterTuningJob\"\264\001\n\037CreateBa"
+          + "tchPredictionJobRequest\0229\n\006parent\030\001 \001(\tB"
+          + ")\340A\002\372A#\n!locations.googleapis.com/Locati"
+          + "on\022V\n\024batch_prediction_job\030\002 \001(\01323.googl"
+          + "e.cloud.aiplatform.v1beta1.BatchPredicti"
+          + "onJobB\003\340A\002\"b\n\034GetBatchPredictionJobReque"
+          + "st\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.goo"
+          + "gleapis.com/BatchPredictionJob\"\301\001\n\036ListB"
+          + "atchPredictionJobsRequest\0229\n\006parent\030\001 \001("
+          + "\tB)\340A\002\372A#\n!locations.googleapis.com/Loca"
+          + "tion\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022"
+          + "\022\n\npage_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032"
+          + ".google.protobuf.FieldMask\"\216\001\n\037ListBatch"
+          + "PredictionJobsResponse\022R\n\025batch_predicti"
+          + "on_jobs\030\001 \003(\01323.google.cloud.aiplatform."
+          + "v1beta1.BatchPredictionJob\022\027\n\017next_page_"
+          + "token\030\002 \001(\t\"e\n\037DeleteBatchPredictionJobR"
+          + "equest\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform"
+          + ".googleapis.com/BatchPredictionJob\"e\n\037Ca"
+          + "ncelBatchPredictionJobRequest\022B\n\004name\030\001 "
+          + "\001(\tB4\340A\002\372A.\n,aiplatform.googleapis.com/B"
+          + "atchPredictionJob2\333$\n\nJobService\022\323\001\n\017Cre"
+          + "ateCustomJob\0227.google.cloud.aiplatform.v"
+          + "1beta1.CreateCustomJobRequest\032*.google.c"
+          + "loud.aiplatform.v1beta1.CustomJob\"[\202\323\344\223\002"
+          + "A\"3/v1beta1/{parent=projects/*/locations"
+          + "/*}/customJobs:\ncustom_job\332A\021parent,cust"
+          + "om_job\022\264\001\n\014GetCustomJob\0224.google.cloud.a"
+          + "iplatform.v1beta1.GetCustomJobRequest\032*."
+          + "google.cloud.aiplatform.v1beta1.CustomJo"
+          + "b\"B\202\323\344\223\0025\0223/v1beta1/{name=projects/*/loc"
+          + "ations/*/customJobs/*}\332A\004name\022\307\001\n\016ListCu"
+          + "stomJobs\0226.google.cloud.aiplatform.v1bet"
+          + "a1.ListCustomJobsRequest\0327.google.cloud."
+          + "aiplatform.v1beta1.ListCustomJobsRespons"
+          + "e\"D\202\323\344\223\0025\0223/v1beta1/{parent=projects/*/l"
+          + "ocations/*}/customJobs\332A\006parent\022\340\001\n\017Dele"
+          + "teCustomJob\0227.google.cloud.aiplatform.v1"
+          + "beta1.DeleteCustomJobRequest\032\035.google.lo"
+          + "ngrunning.Operation\"u\202\323\344\223\0025*3/v1beta1/{n"
+          + "ame=projects/*/locations/*/customJobs/*}"
+          + "\332A\004name\312A0\n\025google.protobuf.Empty\022\027Delet"
+          + "eOperationMetadata\022\260\001\n\017CancelCustomJob\0227"
+          + ".google.cloud.aiplatform.v1beta1.CancelC"
+          + "ustomJobRequest\032\026.google.protobuf.Empty\""
+          + "L\202\323\344\223\002?\":/v1beta1/{name=projects/*/locat"
+          + "ions/*/customJobs/*}:cancel:\001*\332A\004name\022\371\001"
+          + "\n\025CreateDataLabelingJob\022=.google.cloud.a"
+          + "iplatform.v1beta1.CreateDataLabelingJobR"
+          + "equest\0320.google.cloud.aiplatform.v1beta1"
+          + ".DataLabelingJob\"o\202\323\344\223\002N\"9/v1beta1/{pare"
+          + "nt=projects/*/locations/*}/dataLabelingJ"
+          + "obs:\021data_labeling_job\332A\030parent,data_lab"
+          + "eling_job\022\314\001\n\022GetDataLabelingJob\022:.googl"
+          + "e.cloud.aiplatform.v1beta1.GetDataLabeli"
+          + "ngJobRequest\0320.google.cloud.aiplatform.v"
+          + "1beta1.DataLabelingJob\"H\202\323\344\223\002;\0229/v1beta1"
+          + "/{name=projects/*/locations/*/dataLabeli"
+          + "ngJobs/*}\332A\004name\022\337\001\n\024ListDataLabelingJob"
+          + "s\022<.google.cloud.aiplatform.v1beta1.List"
+          + "DataLabelingJobsRequest\032=.google.cloud.a"
+          + "iplatform.v1beta1.ListDataLabelingJobsRe"
+          + "sponse\"J\202\323\344\223\002;\0229/v1beta1/{parent=project"
+          + "s/*/locations/*}/dataLabelingJobs\332A\006pare"
+          + "nt\022\362\001\n\025DeleteDataLabelingJob\022=.google.cl"
+          + "oud.aiplatform.v1beta1.DeleteDataLabelin"
+          + "gJobRequest\032\035.google.longrunning.Operati"
+          + "on\"{\202\323\344\223\002;*9/v1beta1/{name=projects/*/lo"
+          + "cations/*/dataLabelingJobs/*}\332A\004name\312A0\n"
+          + "\025google.protobuf.Empty\022\027DeleteOperationM"
+          + "etadata\022\302\001\n\025CancelDataLabelingJob\022=.goog"
+          + "le.cloud.aiplatform.v1beta1.CancelDataLa"
+          + "belingJobRequest\032\026.google.protobuf.Empty"
+          + "\"R\202\323\344\223\002E\"@/v1beta1/{name=projects/*/loca"
+          + "tions/*/dataLabelingJobs/*}:cancel:\001*\332A\004"
+          + "name\022\252\002\n\035CreateHyperparameterTuningJob\022E"
+          + ".google.cloud.aiplatform.v1beta1.CreateH"
+          + "yperparameterTuningJobRequest\0328.google.c"
+          + "loud.aiplatform.v1beta1.HyperparameterTu"
+          + "ningJob\"\207\001\202\323\344\223\002^\"A/v1beta1/{parent=proje"
+          + "cts/*/locations/*}/hyperparameterTuningJ"
+          + "obs:\031hyperparameter_tuning_job\332A parent,"
+          + "hyperparameter_tuning_job\022\354\001\n\032GetHyperpa"
+          + "rameterTuningJob\022B.google.cloud.aiplatfo"
+          + "rm.v1beta1.GetHyperparameterTuningJobReq"
+          + "uest\0328.google.cloud.aiplatform.v1beta1.H"
+          + "yperparameterTuningJob\"P\202\323\344\223\002C\022A/v1beta1"
+          + "/{name=projects/*/locations/*/hyperparam"
+          + "eterTuningJobs/*}\332A\004name\022\377\001\n\034ListHyperpa"
+          + "rameterTuningJobs\022D.google.cloud.aiplatf"
+          + "orm.v1beta1.ListHyperparameterTuningJobs"
+          + "Request\032E.google.cloud.aiplatform.v1beta"
+          + "1.ListHyperparameterTuningJobsResponse\"R"
+          + "\202\323\344\223\002C\022A/v1beta1/{parent=projects/*/loca"
+          + "tions/*}/hyperparameterTuningJobs\332A\006pare"
+          + "nt\022\213\002\n\035DeleteHyperparameterTuningJob\022E.g"
+          + "oogle.cloud.aiplatform.v1beta1.DeleteHyp"
+          + "erparameterTuningJobRequest\032\035.google.lon"
+          + "grunning.Operation\"\203\001\202\323\344\223\002C*A/v1beta1/{n"
+          + "ame=projects/*/locations/*/hyperparamete"
+          + "rTuningJobs/*}\332A\004name\312A0\n\025google.protobu"
+          + "f.Empty\022\027DeleteOperationMetadata\022\332\001\n\035Can"
+          + "celHyperparameterTuningJob\022E.google.clou"
+          + "d.aiplatform.v1beta1.CancelHyperparamete"
+          + "rTuningJobRequest\032\026.google.protobuf.Empt"
+          + "y\"Z\202\323\344\223\002M\"H/v1beta1/{name=projects/*/loc"
+          + "ations/*/hyperparameterTuningJobs/*}:can"
+          + "cel:\001*\332A\004name\022\213\002\n\030CreateBatchPredictionJ"
+          + "ob\022@.google.cloud.aiplatform.v1beta1.Cre"
+          + "ateBatchPredictionJobRequest\0323.google.cl"
+          + "oud.aiplatform.v1beta1.BatchPredictionJo"
+          + "b\"x\202\323\344\223\002T\"</v1beta1/{parent=projects/*/l"
+          + "ocations/*}/batchPredictionJobs:\024batch_p"
+          + "rediction_job\332A\033parent,batch_prediction_"
+          + "job\022\330\001\n\025GetBatchPredictionJob\022=.google.c"
+          + "loud.aiplatform.v1beta1.GetBatchPredicti"
+          + "onJobRequest\0323.google.cloud.aiplatform.v"
+          + "1beta1.BatchPredictionJob\"K\202\323\344\223\002>\022</v1be"
+          + "ta1/{name=projects/*/locations/*/batchPr"
+          + "edictionJobs/*}\332A\004name\022\353\001\n\027ListBatchPred"
+          + "ictionJobs\022?.google.cloud.aiplatform.v1b"
+          + "eta1.ListBatchPredictionJobsRequest\032@.go"
+          + "ogle.cloud.aiplatform.v1beta1.ListBatchP"
+          + "redictionJobsResponse\"M\202\323\344\223\002>\022</v1beta1/"
+          + "{parent=projects/*/locations/*}/batchPre"
+          + "dictionJobs\332A\006parent\022\373\001\n\030DeleteBatchPred"
+          + "ictionJob\022@.google.cloud.aiplatform.v1be"
+          + "ta1.DeleteBatchPredictionJobRequest\032\035.go"
+          + "ogle.longrunning.Operation\"~\202\323\344\223\002>*</v1b"
+          + "eta1/{name=projects/*/locations/*/batchP"
+          + "redictionJobs/*}\332A\004name\312A0\n\025google.proto"
+          + "buf.Empty\022\027DeleteOperationMetadata\022\313\001\n\030C"
+          + "ancelBatchPredictionJob\022@.google.cloud.a"
+          + "iplatform.v1beta1.CancelBatchPredictionJ"
+          + "obRequest\032\026.google.protobuf.Empty\"U\202\323\344\223\002"
+          + "H\"C/v1beta1/{name=projects/*/locations/*"
+          + "/batchPredictionJobs/*}:cancel:\001*\332A\004name"
+          + "\032M\312A\031aiplatform.googleapis.com\322A.https:/"
+          + "/www.googleapis.com/auth/cloud-platformB"
+          + "\203\001\n#com.google.cloud.aiplatform.v1beta1B"
+          + "\017JobServiceProtoP\001ZIgoogle.golang.org/ge"
+          + "nproto/googleapis/cloud/aiplatform/v1bet"
+          + "a1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -361,9 +363,11 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DataLabelingJobProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor(),
               com.google.longrunning.OperationsProto.getDescriptor(),
               com.google.protobuf.EmptyProto.getDescriptor(),
               com.google.protobuf.FieldMaskProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_CreateCustomJobRequest_descriptor =
         getDescriptor().getMessageTypes().get(0);
@@ -576,9 +580,11 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DataLabelingJobProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor();
     com.google.longrunning.OperationsProto.getDescriptor();
     com.google.protobuf.EmptyProto.getDescriptor();
     com.google.protobuf.FieldMaskProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
index 718f5b265..abaf3f278 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
@@ -216,7 +216,17 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -239,7 +249,17 @@ public java.lang.String getFilter() {
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -382,7 +402,7 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `data_item_count`   * `create_time`
+   *   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -410,7 +430,7 @@ public java.lang.String getOrderBy() {
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `data_item_count`   * `create_time`
+   *   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -967,7 +987,17 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -989,7 +1019,17 @@ public java.lang.String getFilter() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1011,7 +1051,17 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1032,7 +1082,17 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1049,7 +1109,17 @@ public Builder clearFilter() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1414,7 +1484,7 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1441,7 +1511,7 @@ public java.lang.String getOrderBy() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1468,7 +1538,7 @@ public com.google.protobuf.ByteString getOrderByBytes() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1494,7 +1564,7 @@ public Builder setOrderBy(java.lang.String value) {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1516,7 +1586,7 @@ public Builder clearOrderBy() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
index 53573bf34..67015fddf 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
@@ -58,7 +58,17 @@ public interface ListDatasetsRequestOrBuilder
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -70,7 +80,17 @@ public interface ListDatasetsRequestOrBuilder
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -160,7 +180,7 @@ public interface ListDatasetsRequestOrBuilder
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `data_item_count`   * `create_time`
+   *   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -177,7 +197,7 @@ public interface ListDatasetsRequestOrBuilder
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `data_item_count`   * `create_time`
+   *   * `create_time`
    *   * `update_time`
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
index ff2e69216..e39ebcc74 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
@@ -211,17 +211,15 @@ public com.google.protobuf.ByteString getParentBytes() {
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports =, != and regex()
-   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
-   *             `labels.key=value` - key:value equality
-   *             `labels.key:* or labels:key - key existence
-   *              A key including a space must be quoted. `labels."a key"`.
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
-   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -248,17 +246,15 @@ public java.lang.String getFilter() {
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports =, != and regex()
-   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
-   *             `labels.key=value` - key:value equality
-   *             `labels.key:* or labels:key - key existence
-   *              A key including a space must be quoted. `labels."a key"`.
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
-   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -924,17 +920,15 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -960,17 +954,15 @@ public java.lang.String getFilter() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -996,17 +988,15 @@ public com.google.protobuf.ByteString getFilterBytes() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -1031,17 +1021,15 @@ public Builder setFilter(java.lang.String value) {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -1062,17 +1050,15 @@ public Builder clearFilter() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
index 11a5d8957..526e58a30 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
@@ -61,17 +61,15 @@ public interface ListEndpointsRequestOrBuilder
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports =, != and regex()
-   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
-   *             `labels.key=value` - key:value equality
-   *             `labels.key:* or labels:key - key existence
-   *              A key including a space must be quoted. `labels."a key"`.
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
-   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -87,17 +85,15 @@ public interface ListEndpointsRequestOrBuilder
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports =, != and regex()
-   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
-   *             `labels.key=value` - key:value equality
-   *             `labels.key:* or labels:key - key existence
-   *              A key including a space must be quoted. `labels."a key"`.
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
-   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
index 4378609ba..f91dd6a21 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
@@ -208,7 +208,19 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -231,7 +243,19 @@ public java.lang.String getFilter() {
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -890,7 +914,19 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -912,7 +948,19 @@ public java.lang.String getFilter() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -934,7 +982,19 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -955,7 +1015,19 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -972,7 +1044,19 @@ public Builder clearFilter() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
index b72b77ea2..8b752cb44 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
@@ -58,7 +58,19 @@ public interface ListModelsRequestOrBuilder
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -70,7 +82,19 @@ public interface ListModelsRequestOrBuilder
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
index 44b16c16c..1f71333d7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
@@ -130,25 +130,12 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Immutable. The type of the machine.
-   * Following machine types are supported:
-   * * `n1-standard-2`
-   * * `n1-standard-4`
-   * * `n1-standard-8`
-   * * `n1-standard-16`
-   * * `n1-standard-32`
-   * * `n1-highmem-2`
-   * * `n1-highmem-4`
-   * * `n1-highmem-8`
-   * * `n1-highmem-16`
-   * * `n1-highmem-32`
-   * * `n1-highcpu-2`
-   * * `n1-highcpu-4`
-   * * `n1-highcpu-8`
-   * * `n1-highcpu-16`
-   * * `n1-highcpu-32`
-   * When used for [DeployedMode][] this field is optional and the default value
-   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -172,25 +159,12 @@ public java.lang.String getMachineType() {
    *
    *
    * <pre>
-   * Immutable. The type of the machine.
-   * Following machine types are supported:
-   * * `n1-standard-2`
-   * * `n1-standard-4`
-   * * `n1-standard-8`
-   * * `n1-standard-16`
-   * * `n1-standard-32`
-   * * `n1-highmem-2`
-   * * `n1-highmem-4`
-   * * `n1-highmem-8`
-   * * `n1-highmem-16`
-   * * `n1-highmem-32`
-   * * `n1-highcpu-2`
-   * * `n1-highcpu-4`
-   * * `n1-highcpu-8`
-   * * `n1-highcpu-16`
-   * * `n1-highcpu-32`
-   * When used for [DeployedMode][] this field is optional and the default value
-   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -629,25 +603,12 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -670,25 +631,12 @@ public java.lang.String getMachineType() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -711,25 +659,12 @@ public com.google.protobuf.ByteString getMachineTypeBytes() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -751,25 +686,12 @@ public Builder setMachineType(java.lang.String value) {
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -787,25 +709,12 @@ public Builder clearMachineType() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
index 854e04550..43a7bc1d7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
@@ -27,25 +27,12 @@ public interface MachineSpecOrBuilder
    *
    *
    * <pre>
-   * Immutable. The type of the machine.
-   * Following machine types are supported:
-   * * `n1-standard-2`
-   * * `n1-standard-4`
-   * * `n1-standard-8`
-   * * `n1-standard-16`
-   * * `n1-standard-32`
-   * * `n1-highmem-2`
-   * * `n1-highmem-4`
-   * * `n1-highmem-8`
-   * * `n1-highmem-16`
-   * * `n1-highmem-32`
-   * * `n1-highcpu-2`
-   * * `n1-highcpu-4`
-   * * `n1-highcpu-8`
-   * * `n1-highcpu-16`
-   * * `n1-highcpu-32`
-   * When used for [DeployedMode][] this field is optional and the default value
-   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -58,25 +45,12 @@ public interface MachineSpecOrBuilder
    *
    *
    * <pre>
-   * Immutable. The type of the machine.
-   * Following machine types are supported:
-   * * `n1-standard-2`
-   * * `n1-standard-4`
-   * * `n1-standard-8`
-   * * `n1-standard-16`
-   * * `n1-standard-32`
-   * * `n1-highmem-2`
-   * * `n1-highmem-4`
-   * * `n1-highmem-8`
-   * * `n1-highmem-16`
-   * * `n1-highmem-32`
-   * * `n1-highcpu-2`
-   * * `n1-highcpu-4`
-   * * `n1-highcpu-8`
-   * * `n1-highcpu-16`
-   * * `n1-highcpu-32`
-   * When used for [DeployedMode][] this field is optional and the default value
-   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
index 787ef260e..81177ae42 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
@@ -75,6 +75,10 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -95,86 +99,97 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "rm/v1beta1/migratable_resource.proto\032/go"
           + "ogle/cloud/aiplatform/v1beta1/operation."
           + "proto\032#google/longrunning/operations.pro"
-          + "to\"\204\001\n SearchMigratableResourcesRequest\022"
-          + "9\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googl"
-          + "eapis.com/Location\022\021\n\tpage_size\030\002 \001(\005\022\022\n"
-          + "\npage_token\030\003 \001(\t\"\217\001\n!SearchMigratableRe"
-          + "sourcesResponse\022Q\n\024migratable_resources\030"
-          + "\001 \003(\01323.google.cloud.aiplatform.v1beta1."
-          + "MigratableResource\022\027\n\017next_page_token\030\002 "
-          + "\001(\t\"\272\001\n\034BatchMigrateResourcesRequest\0229\n\006"
-          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
-          + "is.com/Location\022_\n\031migrate_resource_requ"
-          + "ests\030\002 \003(\01327.google.cloud.aiplatform.v1b"
-          + "eta1.MigrateResourceRequestB\003\340A\002\"\374\n\n\026Mig"
-          + "rateResourceRequest\022\213\001\n&migrate_ml_engin"
-          + "e_model_version_config\030\001 \001(\0132Y.google.cl"
-          + "oud.aiplatform.v1beta1.MigrateResourceRe"
-          + "quest.MigrateMlEngineModelVersionConfigH"
-          + "\000\022w\n\033migrate_automl_model_config\030\002 \001(\0132P"
+          + "to\032\027google/rpc/status.proto\"\224\001\n SearchMi"
+          + "gratableResourcesRequest\0229\n\006parent\030\001 \001(\t"
+          + "B)\340A\002\372A#\n!locations.googleapis.com/Locat"
+          + "ion\022\021\n\tpage_size\030\002 \001(\005\022\022\n\npage_token\030\003 \001"
+          + "(\t\022\016\n\006filter\030\004 \001(\t\"\217\001\n!SearchMigratableR"
+          + "esourcesResponse\022Q\n\024migratable_resources"
+          + "\030\001 \003(\01323.google.cloud.aiplatform.v1beta1"
+          + ".MigratableResource\022\027\n\017next_page_token\030\002"
+          + " \001(\t\"\272\001\n\034BatchMigrateResourcesRequest\0229\n"
+          + "\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googlea"
+          + "pis.com/Location\022_\n\031migrate_resource_req"
+          + "uests\030\002 \003(\01327.google.cloud.aiplatform.v1"
+          + "beta1.MigrateResourceRequestB\003\340A\002\"\374\n\n\026Mi"
+          + "grateResourceRequest\022\213\001\n&migrate_ml_engi"
+          + "ne_model_version_config\030\001 \001(\0132Y.google.c"
+          + "loud.aiplatform.v1beta1.MigrateResourceR"
+          + "equest.MigrateMlEngineModelVersionConfig"
+          + "H\000\022w\n\033migrate_automl_model_config\030\002 \001(\0132"
+          + "P.google.cloud.aiplatform.v1beta1.Migrat"
+          + "eResourceRequest.MigrateAutomlModelConfi"
+          + "gH\000\022{\n\035migrate_automl_dataset_config\030\003 \001"
+          + "(\0132R.google.cloud.aiplatform.v1beta1.Mig"
+          + "rateResourceRequest.MigrateAutomlDataset"
+          + "ConfigH\000\022\210\001\n$migrate_data_labeling_datas"
+          + "et_config\030\004 \001(\0132X.google.cloud.aiplatfor"
+          + "m.v1beta1.MigrateResourceRequest.Migrate"
+          + "DataLabelingDatasetConfigH\000\032\225\001\n!MigrateM"
+          + "lEngineModelVersionConfig\022\025\n\010endpoint\030\001 "
+          + "\001(\tB\003\340A\002\0228\n\rmodel_version\030\002 \001(\tB!\340A\002\372A\033\n"
+          + "\031ml.googleapis.com/Version\022\037\n\022model_disp"
+          + "lay_name\030\003 \001(\tB\003\340A\002\032o\n\030MigrateAutomlMode"
+          + "lConfig\0222\n\005model\030\001 \001(\tB#\340A\002\372A\035\n\033automl.g"
+          + "oogleapis.com/Model\022\037\n\022model_display_nam"
+          + "e\030\002 \001(\tB\003\340A\001\032w\n\032MigrateAutomlDatasetConf"
+          + "ig\0226\n\007dataset\030\001 \001(\tB%\340A\002\372A\037\n\035automl.goog"
+          + "leapis.com/Dataset\022!\n\024dataset_display_na"
+          + "me\030\002 \001(\tB\003\340A\002\032\305\003\n MigrateDataLabelingDat"
+          + "asetConfig\022<\n\007dataset\030\001 \001(\tB+\340A\002\372A%\n#dat"
+          + "alabeling.googleapis.com/Dataset\022!\n\024data"
+          + "set_display_name\030\002 \001(\tB\003\340A\001\022\301\001\n/migrate_"
+          + "data_labeling_annotated_dataset_configs\030"
+          + "\003 \003(\0132\202\001.google.cloud.aiplatform.v1beta1"
+          + ".MigrateResourceRequest.MigrateDataLabel"
+          + "ingDatasetConfig.MigrateDataLabelingAnno"
+          + "tatedDatasetConfigB\003\340A\001\032|\n)MigrateDataLa"
+          + "belingAnnotatedDatasetConfig\022O\n\021annotate"
+          + "d_dataset\030\001 \001(\tB4\340A\002\372A.\n,datalabeling.go"
+          + "ogleapis.com/AnnotatedDatasetB\t\n\007request"
+          + "\"}\n\035BatchMigrateResourcesResponse\022\\\n\032mig"
+          + "rate_resource_responses\030\001 \003(\01328.google.c"
+          + "loud.aiplatform.v1beta1.MigrateResourceR"
+          + "esponse\"\362\001\n\027MigrateResourceResponse\0229\n\007d"
+          + "ataset\030\001 \001(\tB&\372A#\n!aiplatform.googleapis"
+          + ".com/DatasetH\000\0225\n\005model\030\002 \001(\tB$\372A!\n\037aipl"
+          + "atform.googleapis.com/ModelH\000\022P\n\023migrata"
+          + "ble_resource\030\003 \001(\01323.google.cloud.aiplat"
+          + "form.v1beta1.MigratableResourceB\023\n\021migra"
+          + "ted_resource\"\352\003\n&BatchMigrateResourcesOp"
+          + "erationMetadata\022S\n\020generic_metadata\030\001 \001("
+          + "\01329.google.cloud.aiplatform.v1beta1.Gene"
+          + "ricOperationMetadata\022n\n\017partial_results\030"
+          + "\002 \003(\0132U.google.cloud.aiplatform.v1beta1."
+          + "BatchMigrateResourcesOperationMetadata.P"
+          + "artialResult\032\372\001\n\rPartialResult\022#\n\005error\030"
+          + "\002 \001(\0132\022.google.rpc.StatusH\000\0225\n\005model\030\003 \001"
+          + "(\tB$\372A!\n\037aiplatform.googleapis.com/Model"
+          + "H\000\0229\n\007dataset\030\004 \001(\tB&\372A#\n!aiplatform.goo"
+          + "gleapis.com/DatasetH\000\022H\n\007request\030\001 \001(\01327"
           + ".google.cloud.aiplatform.v1beta1.Migrate"
-          + "ResourceRequest.MigrateAutomlModelConfig"
-          + "H\000\022{\n\035migrate_automl_dataset_config\030\003 \001("
-          + "\0132R.google.cloud.aiplatform.v1beta1.Migr"
-          + "ateResourceRequest.MigrateAutomlDatasetC"
-          + "onfigH\000\022\210\001\n$migrate_data_labeling_datase"
-          + "t_config\030\004 \001(\0132X.google.cloud.aiplatform"
-          + ".v1beta1.MigrateResourceRequest.MigrateD"
-          + "ataLabelingDatasetConfigH\000\032\225\001\n!MigrateMl"
-          + "EngineModelVersionConfig\022\025\n\010endpoint\030\001 \001"
-          + "(\tB\003\340A\002\0228\n\rmodel_version\030\002 \001(\tB!\340A\002\372A\033\n\031"
-          + "ml.googleapis.com/Version\022\037\n\022model_displ"
-          + "ay_name\030\003 \001(\tB\003\340A\002\032o\n\030MigrateAutomlModel"
-          + "Config\0222\n\005model\030\001 \001(\tB#\340A\002\372A\035\n\033automl.go"
-          + "ogleapis.com/Model\022\037\n\022model_display_name"
-          + "\030\002 \001(\tB\003\340A\001\032w\n\032MigrateAutomlDatasetConfi"
-          + "g\0226\n\007dataset\030\001 \001(\tB%\340A\002\372A\037\n\035automl.googl"
-          + "eapis.com/Dataset\022!\n\024dataset_display_nam"
-          + "e\030\002 \001(\tB\003\340A\002\032\305\003\n MigrateDataLabelingData"
-          + "setConfig\022<\n\007dataset\030\001 \001(\tB+\340A\002\372A%\n#data"
-          + "labeling.googleapis.com/Dataset\022!\n\024datas"
-          + "et_display_name\030\002 \001(\tB\003\340A\001\022\301\001\n/migrate_d"
-          + "ata_labeling_annotated_dataset_configs\030\003"
-          + " \003(\0132\202\001.google.cloud.aiplatform.v1beta1."
-          + "MigrateResourceRequest.MigrateDataLabeli"
-          + "ngDatasetConfig.MigrateDataLabelingAnnot"
-          + "atedDatasetConfigB\003\340A\001\032|\n)MigrateDataLab"
-          + "elingAnnotatedDatasetConfig\022O\n\021annotated"
-          + "_dataset\030\001 \001(\tB4\340A\002\372A.\n,datalabeling.goo"
-          + "gleapis.com/AnnotatedDatasetB\t\n\007request\""
-          + "}\n\035BatchMigrateResourcesResponse\022\\\n\032migr"
-          + "ate_resource_responses\030\001 \003(\01328.google.cl"
-          + "oud.aiplatform.v1beta1.MigrateResourceRe"
-          + "sponse\"\362\001\n\027MigrateResourceResponse\0229\n\007da"
-          + "taset\030\001 \001(\tB&\372A#\n!aiplatform.googleapis."
-          + "com/DatasetH\000\0225\n\005model\030\002 \001(\tB$\372A!\n\037aipla"
-          + "tform.googleapis.com/ModelH\000\022P\n\023migratab"
-          + "le_resource\030\003 \001(\01323.google.cloud.aiplatf"
-          + "orm.v1beta1.MigratableResourceB\023\n\021migrat"
-          + "ed_resource\"}\n&BatchMigrateResourcesOper"
-          + "ationMetadata\022S\n\020generic_metadata\030\001 \001(\0132"
-          + "9.google.cloud.aiplatform.v1beta1.Generi"
-          + "cOperationMetadata2\233\005\n\020MigrationService\022"
-          + "\373\001\n\031SearchMigratableResources\022A.google.c"
-          + "loud.aiplatform.v1beta1.SearchMigratable"
-          + "ResourcesRequest\032B.google.cloud.aiplatfo"
-          + "rm.v1beta1.SearchMigratableResourcesResp"
-          + "onse\"W\202\323\344\223\002H\"C/v1beta1/{parent=projects/"
-          + "*/locations/*}/migratableResources:searc"
-          + "h:\001*\332A\006parent\022\271\002\n\025BatchMigrateResources\022"
-          + "=.google.cloud.aiplatform.v1beta1.BatchM"
-          + "igrateResourcesRequest\032\035.google.longrunn"
-          + "ing.Operation\"\301\001\202\323\344\223\002N\"I/v1beta1/{parent"
-          + "=projects/*/locations/*}/migratableResou"
-          + "rces:batchMigrate:\001*\332A parent,migrate_re"
-          + "source_requests\312AG\n\035BatchMigrateResource"
-          + "sResponse\022&BatchMigrateResourcesOperatio"
-          + "nMetadata\032M\312A\031aiplatform.googleapis.com\322"
-          + "A.https://www.googleapis.com/auth/cloud-"
-          + "platformB\211\001\n#com.google.cloud.aiplatform"
-          + ".v1beta1B\025MigrationServiceProtoP\001ZIgoogl"
-          + "e.golang.org/genproto/googleapis/cloud/a"
-          + "iplatform/v1beta1;aiplatformb\006proto3"
+          + "ResourceRequestB\010\n\006result2\233\005\n\020MigrationS"
+          + "ervice\022\373\001\n\031SearchMigratableResources\022A.g"
+          + "oogle.cloud.aiplatform.v1beta1.SearchMig"
+          + "ratableResourcesRequest\032B.google.cloud.a"
+          + "iplatform.v1beta1.SearchMigratableResour"
+          + "cesResponse\"W\202\323\344\223\002H\"C/v1beta1/{parent=pr"
+          + "ojects/*/locations/*}/migratableResource"
+          + "s:search:\001*\332A\006parent\022\271\002\n\025BatchMigrateRes"
+          + "ources\022=.google.cloud.aiplatform.v1beta1"
+          + ".BatchMigrateResourcesRequest\032\035.google.l"
+          + "ongrunning.Operation\"\301\001\202\323\344\223\002N\"I/v1beta1/"
+          + "{parent=projects/*/locations/*}/migratab"
+          + "leResources:batchMigrate:\001*\332A parent,mig"
+          + "rate_resource_requests\312AG\n\035BatchMigrateR"
+          + "esourcesResponse\022&BatchMigrateResourcesO"
+          + "perationMetadata\032M\312A\031aiplatform.googleap"
+          + "is.com\322A.https://www.googleapis.com/auth"
+          + "/cloud-platformB\211\001\n#com.google.cloud.aip"
+          + "latform.v1beta1B\025MigrationServiceProtoP\001"
+          + "ZIgoogle.golang.org/genproto/googleapis/"
+          + "cloud/aiplatform/v1beta1;aiplatformb\006pro"
+          + "to3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -189,6 +204,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.cloud.aiplatform.v1beta1.MigratableResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor(),
               com.google.longrunning.OperationsProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesRequest_descriptor =
         getDescriptor().getMessageTypes().get(0);
@@ -196,7 +212,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesRequest_descriptor,
             new java.lang.String[] {
-              "Parent", "PageSize", "PageToken",
+              "Parent", "PageSize", "PageToken", "Filter",
             });
     internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesResponse_descriptor =
         getDescriptor().getMessageTypes().get(1);
@@ -298,7 +314,17 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor,
             new java.lang.String[] {
-              "GenericMetadata",
+              "GenericMetadata", "PartialResults",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor,
+            new java.lang.String[] {
+              "Error", "Model", "Dataset", "Request", "Result",
             });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
@@ -320,6 +346,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.cloud.aiplatform.v1beta1.MigratableResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor();
     com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
index 14d76fee0..e7fcfc7af 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
@@ -302,6 +302,23 @@ private Model(
                 explanationSpec_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           case 210:
@@ -2790,6 +2807,10 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2831,6 +2852,10 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2872,6 +2897,10 @@ public int getSupportedInputStorageFormatsCount() {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2914,6 +2943,10 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -3287,19 +3320,20 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployed
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    *
    * @return Whether the explanationSpec field is set.
    */
@@ -3311,19 +3345,20 @@ public boolean hasExplanationSpec() {
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    *
    * @return The explanationSpec.
    */
@@ -3337,19 +3372,20 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    */
   @java.lang.Override
   public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
@@ -3522,6 +3558,57 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 24;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -3596,6 +3683,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (explanationSpec_ != null) {
       output.writeMessage(23, getExplanationSpec());
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(24, getEncryptionSpec());
+    }
     if (!getArtifactUriBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 26, artifactUri_);
     }
@@ -3692,6 +3782,9 @@ public int getSerializedSize() {
     if (explanationSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(23, getExplanationSpec());
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(24, getEncryptionSpec());
+    }
     if (!getArtifactUriBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(26, artifactUri_);
     }
@@ -3752,6 +3845,10 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!getEtag().equals(other.getEtag())) return false;
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -3825,6 +3922,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -4062,6 +4163,12 @@ public Builder clear() {
       etag_ = "";
 
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -4163,6 +4270,11 @@ public com.google.cloud.aiplatform.v1beta1.Model buildPartial() {
       result.etag_ = etag_;
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -4343,6 +4455,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Model other) {
         onChanged();
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -6564,6 +6679,10 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6605,6 +6724,10 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6646,6 +6769,10 @@ public int getSupportedInputStorageFormatsCount() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6688,6 +6815,10 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6730,6 +6861,10 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6779,6 +6914,10 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6827,6 +6966,10 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6872,6 +7015,10 @@ public Builder addAllSupportedInputStorageFormats(java.lang.Iterable<java.lang.S
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6916,6 +7063,10 @@ public Builder clearSupportedInputStorageFormats() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -8174,19 +8325,20 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef.Builder addDeployedM
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      *
      * @return Whether the explanationSpec field is set.
      */
@@ -8197,19 +8349,20 @@ public boolean hasExplanationSpec() {
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      *
      * @return The explanationSpec.
      */
@@ -8226,19 +8379,20 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
       if (explanationSpecBuilder_ == null) {
@@ -8257,19 +8411,20 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public Builder setExplanationSpec(
         com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder builderForValue) {
@@ -8286,19 +8441,20 @@ public Builder setExplanationSpec(
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
       if (explanationSpecBuilder_ == null) {
@@ -8321,19 +8477,20 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public Builder clearExplanationSpec() {
       if (explanationSpecBuilder_ == null) {
@@ -8350,19 +8507,20 @@ public Builder clearExplanationSpec() {
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanationSpecBuilder() {
 
@@ -8373,19 +8531,20 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
         getExplanationSpecOrBuilder() {
@@ -8401,19 +8560,20 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
@@ -8728,6 +8888,202 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
index 3db576bb5..0f8cd2ff7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
@@ -981,9 +981,8 @@ public com.google.cloud.aiplatform.v1beta1.PortOrBuilder getPortsOrBuilder(int i
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1028,9 +1027,8 @@ public java.lang.String getPredictRoute() {
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1077,9 +1075,8 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1123,9 +1120,8 @@ public java.lang.String getHealthRoute() {
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4183,9 +4179,8 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Port.Builder> getPorts
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4229,9 +4224,8 @@ public java.lang.String getPredictRoute() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4275,9 +4269,8 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4320,9 +4313,8 @@ public Builder setPredictRoute(java.lang.String value) {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4361,9 +4353,8 @@ public Builder clearPredictRoute() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4408,9 +4399,8 @@ public Builder setPredictRouteBytes(com.google.protobuf.ByteString value) {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4453,9 +4443,8 @@ public java.lang.String getHealthRoute() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4498,9 +4487,8 @@ public com.google.protobuf.ByteString getHealthRouteBytes() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4542,9 +4530,8 @@ public Builder setHealthRoute(java.lang.String value) {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4582,9 +4569,8 @@ public Builder clearHealthRoute() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
index d6d497de8..4a8124685 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
@@ -736,9 +736,8 @@ public interface ModelContainerSpecOrBuilder
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -772,9 +771,8 @@ public interface ModelContainerSpecOrBuilder
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -808,9 +806,8 @@ public interface ModelContainerSpecOrBuilder
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -843,9 +840,8 @@ public interface ModelContainerSpecOrBuilder
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
index 66f27a69e..a18f74929 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
@@ -42,6 +42,7 @@ private ModelEvaluation() {
     name_ = "";
     metricsSchemaUri_ = "";
     sliceDimensions_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    explanationSpecs_ = java.util.Collections.emptyList();
   }
 
   @java.lang.Override
@@ -144,6 +145,22 @@ private ModelEvaluation(
 
               break;
             }
+          case 74:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                explanationSpecs_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                            .ModelEvaluationExplanationSpec>();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              explanationSpecs_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                          .ModelEvaluationExplanationSpec.parser(),
+                      extensionRegistry));
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -161,6 +178,9 @@ private ModelEvaluation(
       if (((mutable_bitField0_ & 0x00000001) != 0)) {
         sliceDimensions_ = sliceDimensions_.getUnmodifiableView();
       }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        explanationSpecs_ = java.util.Collections.unmodifiableList(explanationSpecs_);
+      }
       this.unknownFields = unknownFields.build();
       makeExtensionsImmutable();
     }
@@ -181,6 +201,1031 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
             com.google.cloud.aiplatform.v1beta1.ModelEvaluation.Builder.class);
   }
 
+  public interface ModelEvaluationExplanationSpecOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Explanation type.
+     * For AutoML Image Classification models, possible values are:
+     *   * `image-integrated-gradients`
+     *   * `image-xrai`
+     * </pre>
+     *
+     * <code>string explanation_type = 1;</code>
+     *
+     * @return The explanationType.
+     */
+    java.lang.String getExplanationType();
+    /**
+     *
+     *
+     * <pre>
+     * Explanation type.
+     * For AutoML Image Classification models, possible values are:
+     *   * `image-integrated-gradients`
+     *   * `image-xrai`
+     * </pre>
+     *
+     * <code>string explanation_type = 1;</code>
+     *
+     * @return The bytes for explanationType.
+     */
+    com.google.protobuf.ByteString getExplanationTypeBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+     *
+     * @return Whether the explanationSpec field is set.
+     */
+    boolean hasExplanationSpec();
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+     *
+     * @return The explanationSpec.
+     */
+    com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec();
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
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+       * Explanation type.
+       * For AutoML Image Classification models, possible values are:
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+       *   * `image-xrai`
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+       * For AutoML Image Classification models, possible values are:
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+        checkByteStringIsUtf8(value);
+
+        explanationType_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.cloud.aiplatform.v1beta1.ExplanationSpec explanationSpec_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>
+          explanationSpecBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       *
+       * @return Whether the explanationSpec field is set.
+       */
+      public boolean hasExplanationSpec() {
+        return explanationSpecBuilder_ != null || explanationSpec_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       *
+       * @return The explanationSpec.
+       */
+      public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec() {
+        if (explanationSpecBuilder_ == null) {
+          return explanationSpec_ == null
+              ? com.google.cloud.aiplatform.v1beta1.ExplanationSpec.getDefaultInstance()
+              : explanationSpec_;
+        } else {
+          return explanationSpecBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
+        if (explanationSpecBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          explanationSpec_ = value;
+          onChanged();
+        } else {
+          explanationSpecBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public Builder setExplanationSpec(
+          com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder builderForValue) {
+        if (explanationSpecBuilder_ == null) {
+          explanationSpec_ = builderForValue.build();
+          onChanged();
+        } else {
+          explanationSpecBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public Builder mergeExplanationSpec(
+          com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
+        if (explanationSpecBuilder_ == null) {
+          if (explanationSpec_ != null) {
+            explanationSpec_ =
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpec.newBuilder(explanationSpec_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            explanationSpec_ = value;
+          }
+          onChanged();
+        } else {
+          explanationSpecBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public Builder clearExplanationSpec() {
+        if (explanationSpecBuilder_ == null) {
+          explanationSpec_ = null;
+          onChanged();
+        } else {
+          explanationSpec_ = null;
+          explanationSpecBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder
+          getExplanationSpecBuilder() {
+
+        onChanged();
+        return getExplanationSpecFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
+          getExplanationSpecOrBuilder() {
+        if (explanationSpecBuilder_ != null) {
+          return explanationSpecBuilder_.getMessageOrBuilder();
+        } else {
+          return explanationSpec_ == null
+              ? com.google.cloud.aiplatform.v1beta1.ExplanationSpec.getDefaultInstance()
+              : explanationSpec_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>
+          getExplanationSpecFieldBuilder() {
+        if (explanationSpecBuilder_ == null) {
+          explanationSpecBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
+                  com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
+                  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>(
+                  getExplanationSpec(), getParentForChildren(), isClean());
+          explanationSpec_ = null;
+        }
+        return explanationSpecBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+    private static final com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+            .ModelEvaluationExplanationSpec
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec();
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<ModelEvaluationExplanationSpec> PARSER =
+        new com.google.protobuf.AbstractParser<ModelEvaluationExplanationSpec>() {
+          @java.lang.Override
+          public ModelEvaluationExplanationSpec parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new ModelEvaluationExplanationSpec(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<ModelEvaluationExplanationSpec> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<ModelEvaluationExplanationSpec> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
   public static final int NAME_FIELD_NUMBER = 1;
   private volatile java.lang.Object name_;
   /**
@@ -517,6 +1562,99 @@ public com.google.cloud.aiplatform.v1beta1.ModelExplanation getModelExplanation(
     return getModelExplanation();
   }
 
+  public static final int EXPLANATION_SPECS_FIELD_NUMBER = 9;
+  private java.util.List<
+          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+      explanationSpecs_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+      getExplanationSpecsList() {
+    return explanationSpecs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                  .ModelEvaluationExplanationSpecOrBuilder>
+      getExplanationSpecsOrBuilderList() {
+    return explanationSpecs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getExplanationSpecsCount() {
+    return explanationSpecs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+      getExplanationSpecs(int index) {
+    return explanationSpecs_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder
+      getExplanationSpecsOrBuilder(int index) {
+    return explanationSpecs_.get(index);
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -549,6 +1687,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (modelExplanation_ != null) {
       output.writeMessage(8, getModelExplanation());
     }
+    for (int i = 0; i < explanationSpecs_.size(); i++) {
+      output.writeMessage(9, explanationSpecs_.get(i));
+    }
     unknownFields.writeTo(output);
   }
 
@@ -581,6 +1722,9 @@ public int getSerializedSize() {
     if (modelExplanation_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getModelExplanation());
     }
+    for (int i = 0; i < explanationSpecs_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, explanationSpecs_.get(i));
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -612,6 +1756,7 @@ public boolean equals(final java.lang.Object obj) {
     if (hasModelExplanation()) {
       if (!getModelExplanation().equals(other.getModelExplanation())) return false;
     }
+    if (!getExplanationSpecsList().equals(other.getExplanationSpecsList())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -643,6 +1788,10 @@ public int hashCode() {
       hash = (37 * hash) + MODEL_EXPLANATION_FIELD_NUMBER;
       hash = (53 * hash) + getModelExplanation().hashCode();
     }
+    if (getExplanationSpecsCount() > 0) {
+      hash = (37 * hash) + EXPLANATION_SPECS_FIELD_NUMBER;
+      hash = (53 * hash) + getExplanationSpecsList().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -783,7 +1932,9 @@ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
     }
 
     private void maybeForceBuilderInitialization() {
-      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getExplanationSpecsFieldBuilder();
+      }
     }
 
     @java.lang.Override
@@ -813,6 +1964,12 @@ public Builder clear() {
         modelExplanation_ = null;
         modelExplanationBuilder_ = null;
       }
+      if (explanationSpecsBuilder_ == null) {
+        explanationSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+      } else {
+        explanationSpecsBuilder_.clear();
+      }
       return this;
     }
 
@@ -863,6 +2020,15 @@ public com.google.cloud.aiplatform.v1beta1.ModelEvaluation buildPartial() {
       } else {
         result.modelExplanation_ = modelExplanationBuilder_.build();
       }
+      if (explanationSpecsBuilder_ == null) {
+        if (((bitField0_ & 0x00000002) != 0)) {
+          explanationSpecs_ = java.util.Collections.unmodifiableList(explanationSpecs_);
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.explanationSpecs_ = explanationSpecs_;
+      } else {
+        result.explanationSpecs_ = explanationSpecsBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -940,6 +2106,33 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.ModelEvaluation oth
       if (other.hasModelExplanation()) {
         mergeModelExplanation(other.getModelExplanation());
       }
+      if (explanationSpecsBuilder_ == null) {
+        if (!other.explanationSpecs_.isEmpty()) {
+          if (explanationSpecs_.isEmpty()) {
+            explanationSpecs_ = other.explanationSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureExplanationSpecsIsMutable();
+            explanationSpecs_.addAll(other.explanationSpecs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.explanationSpecs_.isEmpty()) {
+          if (explanationSpecsBuilder_.isEmpty()) {
+            explanationSpecsBuilder_.dispose();
+            explanationSpecsBuilder_ = null;
+            explanationSpecs_ = other.explanationSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+            explanationSpecsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getExplanationSpecsFieldBuilder()
+                    : null;
+          } else {
+            explanationSpecsBuilder_.addAllMessages(other.explanationSpecs_);
+          }
+        }
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2016,6 +3209,458 @@ public Builder clearModelExplanation() {
       return modelExplanationBuilder_;
     }
 
+    private java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+        explanationSpecs_ = java.util.Collections.emptyList();
+
+    private void ensureExplanationSpecsIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        explanationSpecs_ =
+            new java.util.ArrayList<
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>(
+                explanationSpecs_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                .Builder,
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                .ModelEvaluationExplanationSpecOrBuilder>
+        explanationSpecsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+        getExplanationSpecsList() {
+      if (explanationSpecsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(explanationSpecs_);
+      } else {
+        return explanationSpecsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getExplanationSpecsCount() {
+      if (explanationSpecsBuilder_ == null) {
+        return explanationSpecs_.size();
+      } else {
+        return explanationSpecsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        getExplanationSpecs(int index) {
+      if (explanationSpecsBuilder_ == null) {
+        return explanationSpecs_.get(index);
+      } else {
+        return explanationSpecsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setExplanationSpecs(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
+      if (explanationSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.set(index, value);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setExplanationSpecs(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
+            builderForValue) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addExplanationSpecs(
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
+      if (explanationSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.add(value);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addExplanationSpecs(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
+      if (explanationSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.add(index, value);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addExplanationSpecs(
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
+            builderForValue) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addExplanationSpecs(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
+            builderForValue) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllExplanationSpecs(
+        java.lang.Iterable<
+                ? extends
+                    com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                        .ModelEvaluationExplanationSpec>
+            values) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, explanationSpecs_);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearExplanationSpecs() {
+      if (explanationSpecsBuilder_ == null) {
+        explanationSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removeExplanationSpecs(int index) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.remove(index);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            .Builder
+        getExplanationSpecsBuilder(int index) {
+      return getExplanationSpecsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+            .ModelEvaluationExplanationSpecOrBuilder
+        getExplanationSpecsOrBuilder(int index) {
+      if (explanationSpecsBuilder_ == null) {
+        return explanationSpecs_.get(index);
+      } else {
+        return explanationSpecsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                    .ModelEvaluationExplanationSpecOrBuilder>
+        getExplanationSpecsOrBuilderList() {
+      if (explanationSpecsBuilder_ != null) {
+        return explanationSpecsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(explanationSpecs_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            .Builder
+        addExplanationSpecsBuilder() {
+      return getExplanationSpecsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            .Builder
+        addExplanationSpecsBuilder(int index) {
+      return getExplanationSpecsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                .Builder>
+        getExplanationSpecsBuilderList() {
+      return getExplanationSpecsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                .Builder,
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                .ModelEvaluationExplanationSpecOrBuilder>
+        getExplanationSpecsFieldBuilder() {
+      if (explanationSpecsBuilder_ == null) {
+        explanationSpecsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                    .Builder,
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                    .ModelEvaluationExplanationSpecOrBuilder>(
+                explanationSpecs_,
+                ((bitField0_ & 0x00000002) != 0),
+                getParentForChildren(),
+                isClean());
+        explanationSpecs_ = null;
+      }
+      return explanationSpecsBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
index 57cf0caf2..40c7fdd28 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
@@ -264,4 +264,77 @@ public interface ModelEvaluationOrBuilder
    * </code>
    */
   com.google.cloud.aiplatform.v1beta1.ModelExplanationOrBuilder getModelExplanationOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+      getExplanationSpecsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+      getExplanationSpecs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getExplanationSpecsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                  .ModelEvaluationExplanationSpecOrBuilder>
+      getExplanationSpecsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder
+      getExplanationSpecsOrBuilder(int index);
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
index bca98ace2..b219e56e7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
@@ -31,6 +31,10 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -47,21 +51,27 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "oud/aiplatform/v1beta1/explanation.proto"
           + "\032\034google/protobuf/struct.proto\032\037google/p"
           + "rotobuf/timestamp.proto\032\034google/api/anno"
-          + "tations.proto\"\234\003\n\017ModelEvaluation\022\021\n\004nam"
+          + "tations.proto\"\226\005\n\017ModelEvaluation\022\021\n\004nam"
           + "e\030\001 \001(\tB\003\340A\003\022\037\n\022metrics_schema_uri\030\002 \001(\t"
           + "B\003\340A\003\022,\n\007metrics\030\003 \001(\0132\026.google.protobuf"
           + ".ValueB\003\340A\003\0224\n\013create_time\030\004 \001(\0132\032.googl"
           + "e.protobuf.TimestampB\003\340A\003\022\035\n\020slice_dimen"
           + "sions\030\005 \003(\tB\003\340A\003\022Q\n\021model_explanation\030\010 "
           + "\001(\01321.google.cloud.aiplatform.v1beta1.Mo"
-          + "delExplanationB\003\340A\003:\177\352A|\n)aiplatform.goo"
-          + "gleapis.com/ModelEvaluation\022Oprojects/{p"
-          + "roject}/locations/{location}/models/{mod"
-          + "el}/evaluations/{evaluation}B\210\001\n#com.goo"
-          + "gle.cloud.aiplatform.v1beta1B\024ModelEvalu"
-          + "ationProtoP\001ZIgoogle.golang.org/genproto"
-          + "/googleapis/cloud/aiplatform/v1beta1;aip"
-          + "latformb\006proto3"
+          + "delExplanationB\003\340A\003\022o\n\021explanation_specs"
+          + "\030\t \003(\0132O.google.cloud.aiplatform.v1beta1"
+          + ".ModelEvaluation.ModelEvaluationExplanat"
+          + "ionSpecB\003\340A\003\032\206\001\n\036ModelEvaluationExplanat"
+          + "ionSpec\022\030\n\020explanation_type\030\001 \001(\t\022J\n\020exp"
+          + "lanation_spec\030\002 \001(\01320.google.cloud.aipla"
+          + "tform.v1beta1.ExplanationSpec:\177\352A|\n)aipl"
+          + "atform.googleapis.com/ModelEvaluation\022Op"
+          + "rojects/{project}/locations/{location}/m"
+          + "odels/{model}/evaluations/{evaluation}B\210"
+          + "\001\n#com.google.cloud.aiplatform.v1beta1B\024"
+          + "ModelEvaluationProtoP\001ZIgoogle.golang.or"
+          + "g/genproto/googleapis/cloud/aiplatform/v"
+          + "1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -86,6 +96,17 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "CreateTime",
               "SliceDimensions",
               "ModelExplanation",
+              "ExplanationSpecs",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor,
+            new java.lang.String[] {
+              "ExplanationType", "ExplanationSpec",
             });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
index 7afe891e0..42b2d89da 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
@@ -126,7 +126,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -155,7 +155,7 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Attribution> getMeanAt
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -185,7 +185,7 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Attribution> getMeanAt
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -214,7 +214,7 @@ public int getMeanAttributionsCount() {
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -243,7 +243,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getMeanAttributions(int i
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -652,7 +652,7 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -685,7 +685,7 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -717,7 +717,7 @@ public int getMeanAttributionsCount() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -749,7 +749,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getMeanAttributions(int i
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -788,7 +788,7 @@ public Builder setMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -824,7 +824,7 @@ public Builder setMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -862,7 +862,7 @@ public Builder addMeanAttributions(com.google.cloud.aiplatform.v1beta1.Attributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -901,7 +901,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -937,7 +937,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -973,7 +973,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1009,7 +1009,7 @@ public Builder addAllMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1044,7 +1044,7 @@ public Builder clearMeanAttributions() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1079,7 +1079,7 @@ public Builder removeMeanAttributions(int index) {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1108,7 +1108,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder getMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1141,7 +1141,7 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getMeanAttributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1174,7 +1174,7 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getMeanAttributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1203,7 +1203,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1233,7 +1233,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
index 1ab25e538..8871d76a7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
@@ -27,7 +27,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -53,7 +53,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -79,7 +79,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -105,7 +105,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -132,7 +132,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
index b15effdb0..226bd2b21 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
@@ -559,6 +559,10 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -598,6 +602,10 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -637,6 +645,10 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -677,6 +689,10 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -996,19 +1012,20 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    *
    * @return Whether the explanationSpec field is set.
    */
@@ -1017,19 +1034,20 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    *
    * @return The explanationSpec.
    */
@@ -1038,19 +1056,20 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    */
   com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder getExplanationSpecOrBuilder();
 
@@ -1154,4 +1173,42 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    * <code>map&lt;string, string&gt; labels = 17;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
index 76874664e..c8b0bde7f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
@@ -66,64 +66,67 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "api/resource.proto\032-google/cloud/aiplatf"
           + "orm/v1beta1/dataset.proto\0328google/cloud/"
           + "aiplatform/v1beta1/deployed_model_ref.pr"
-          + "oto\032-google/cloud/aiplatform/v1beta1/env"
-          + "_var.proto\0321google/cloud/aiplatform/v1be"
-          + "ta1/explanation.proto\032\034google/protobuf/s"
-          + "truct.proto\032\037google/protobuf/timestamp.p"
-          + "roto\032\034google/api/annotations.proto\"\214\014\n\005M"
-          + "odel\022\014\n\004name\030\001 \001(\t\022\031\n\014display_name\030\002 \001(\t"
-          + "B\003\340A\002\022\023\n\013description\030\003 \001(\t\022J\n\020predict_sc"
-          + "hemata\030\004 \001(\01320.google.cloud.aiplatform.v"
-          + "1beta1.PredictSchemata\022 \n\023metadata_schem"
-          + "a_uri\030\005 \001(\tB\003\340A\005\022-\n\010metadata\030\006 \001(\0132\026.goo"
-          + "gle.protobuf.ValueB\003\340A\005\022Z\n\030supported_exp"
-          + "ort_formats\030\024 \003(\01323.google.cloud.aiplatf"
-          + "orm.v1beta1.Model.ExportFormatB\003\340A\003\022M\n\021t"
-          + "raining_pipeline\030\007 \001(\tB2\340A\003\372A,\n*aiplatfo"
-          + "rm.googleapis.com/TrainingPipeline\022P\n\016co"
-          + "ntainer_spec\030\t \001(\01323.google.cloud.aiplat"
-          + "form.v1beta1.ModelContainerSpecB\003\340A\004\022\031\n\014"
-          + "artifact_uri\030\032 \001(\tB\003\340A\005\022q\n$supported_dep"
-          + "loyment_resources_types\030\n \003(\0162>.google.c"
-          + "loud.aiplatform.v1beta1.Model.Deployment"
-          + "ResourcesTypeB\003\340A\003\022,\n\037supported_input_st"
-          + "orage_formats\030\013 \003(\tB\003\340A\003\022-\n supported_ou"
-          + "tput_storage_formats\030\014 \003(\tB\003\340A\003\0224\n\013creat"
-          + "e_time\030\r \001(\0132\032.google.protobuf.Timestamp"
-          + "B\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google.prot"
-          + "obuf.TimestampB\003\340A\003\022O\n\017deployed_models\030\017"
-          + " \003(\01321.google.cloud.aiplatform.v1beta1.D"
-          + "eployedModelRefB\003\340A\003\022O\n\020explanation_spec"
-          + "\030\027 \001(\01320.google.cloud.aiplatform.v1beta1"
-          + ".ExplanationSpecB\003\340A\003\022\014\n\004etag\030\020 \001(\t\022B\n\006l"
-          + "abels\030\021 \003(\01322.google.cloud.aiplatform.v1"
-          + "beta1.Model.LabelsEntry\032\332\001\n\014ExportFormat"
-          + "\022\017\n\002id\030\001 \001(\tB\003\340A\003\022g\n\023exportable_contents"
-          + "\030\002 \003(\0162E.google.cloud.aiplatform.v1beta1"
-          + ".Model.ExportFormat.ExportableContentB\003\340"
-          + "A\003\"P\n\021ExportableContent\022\"\n\036EXPORTABLE_CO"
-          + "NTENT_UNSPECIFIED\020\000\022\014\n\010ARTIFACT\020\001\022\t\n\005IMA"
-          + "GE\020\002\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005valu"
-          + "e\030\002 \001(\t:\0028\001\"v\n\027DeploymentResourcesType\022)"
-          + "\n%DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED\020"
-          + "\000\022\027\n\023DEDICATED_RESOURCES\020\001\022\027\n\023AUTOMATIC_"
-          + "RESOURCES\020\002:\\\352AY\n\037aiplatform.googleapis."
-          + "com/Model\0226projects/{project}/locations/"
-          + "{location}/models/{model}\"{\n\017PredictSche"
-          + "mata\022 \n\023instance_schema_uri\030\001 \001(\tB\003\340A\005\022\""
-          + "\n\025parameters_schema_uri\030\002 \001(\tB\003\340A\005\022\"\n\025pr"
-          + "ediction_schema_uri\030\003 \001(\tB\003\340A\005\"\205\002\n\022Model"
-          + "ContainerSpec\022\031\n\timage_uri\030\001 \001(\tB\006\340A\002\340A\005"
-          + "\022\024\n\007command\030\002 \003(\tB\003\340A\005\022\021\n\004args\030\003 \003(\tB\003\340A"
-          + "\005\0229\n\003env\030\004 \003(\0132\'.google.cloud.aiplatform"
-          + ".v1beta1.EnvVarB\003\340A\005\0229\n\005ports\030\005 \003(\0132%.go"
-          + "ogle.cloud.aiplatform.v1beta1.PortB\003\340A\005\022"
-          + "\032\n\rpredict_route\030\006 \001(\tB\003\340A\005\022\031\n\014health_ro"
-          + "ute\030\007 \001(\tB\003\340A\005\"\036\n\004Port\022\026\n\016container_port"
-          + "\030\003 \001(\005B~\n#com.google.cloud.aiplatform.v1"
-          + "beta1B\nModelProtoP\001ZIgoogle.golang.org/g"
-          + "enproto/googleapis/cloud/aiplatform/v1be"
-          + "ta1;aiplatformb\006proto3"
+          + "oto\0325google/cloud/aiplatform/v1beta1/enc"
+          + "ryption_spec.proto\032-google/cloud/aiplatf"
+          + "orm/v1beta1/env_var.proto\0321google/cloud/"
+          + "aiplatform/v1beta1/explanation.proto\032\034go"
+          + "ogle/protobuf/struct.proto\032\037google/proto"
+          + "buf/timestamp.proto\032\034google/api/annotati"
+          + "ons.proto\"\321\014\n\005Model\022\014\n\004name\030\001 \001(\t\022\031\n\014dis"
+          + "play_name\030\002 \001(\tB\003\340A\002\022\023\n\013description\030\003 \001("
+          + "\t\022J\n\020predict_schemata\030\004 \001(\01320.google.clo"
+          + "ud.aiplatform.v1beta1.PredictSchemata\022 \n"
+          + "\023metadata_schema_uri\030\005 \001(\tB\003\340A\005\022-\n\010metad"
+          + "ata\030\006 \001(\0132\026.google.protobuf.ValueB\003\340A\005\022Z"
+          + "\n\030supported_export_formats\030\024 \003(\01323.googl"
+          + "e.cloud.aiplatform.v1beta1.Model.ExportF"
+          + "ormatB\003\340A\003\022M\n\021training_pipeline\030\007 \001(\tB2\340"
+          + "A\003\372A,\n*aiplatform.googleapis.com/Trainin"
+          + "gPipeline\022P\n\016container_spec\030\t \001(\01323.goog"
+          + "le.cloud.aiplatform.v1beta1.ModelContain"
+          + "erSpecB\003\340A\004\022\031\n\014artifact_uri\030\032 \001(\tB\003\340A\005\022q"
+          + "\n$supported_deployment_resources_types\030\n"
+          + " \003(\0162>.google.cloud.aiplatform.v1beta1.M"
+          + "odel.DeploymentResourcesTypeB\003\340A\003\022,\n\037sup"
+          + "ported_input_storage_formats\030\013 \003(\tB\003\340A\003\022"
+          + "-\n supported_output_storage_formats\030\014 \003("
+          + "\tB\003\340A\003\0224\n\013create_time\030\r \001(\0132\032.google.pro"
+          + "tobuf.TimestampB\003\340A\003\0224\n\013update_time\030\016 \001("
+          + "\0132\032.google.protobuf.TimestampB\003\340A\003\022O\n\017de"
+          + "ployed_models\030\017 \003(\01321.google.cloud.aipla"
+          + "tform.v1beta1.DeployedModelRefB\003\340A\003\022J\n\020e"
+          + "xplanation_spec\030\027 \001(\01320.google.cloud.aip"
+          + "latform.v1beta1.ExplanationSpec\022\014\n\004etag\030"
+          + "\020 \001(\t\022B\n\006labels\030\021 \003(\01322.google.cloud.aip"
+          + "latform.v1beta1.Model.LabelsEntry\022H\n\017enc"
+          + "ryption_spec\030\030 \001(\0132/.google.cloud.aiplat"
+          + "form.v1beta1.EncryptionSpec\032\332\001\n\014ExportFo"
+          + "rmat\022\017\n\002id\030\001 \001(\tB\003\340A\003\022g\n\023exportable_cont"
+          + "ents\030\002 \003(\0162E.google.cloud.aiplatform.v1b"
+          + "eta1.Model.ExportFormat.ExportableConten"
+          + "tB\003\340A\003\"P\n\021ExportableContent\022\"\n\036EXPORTABL"
+          + "E_CONTENT_UNSPECIFIED\020\000\022\014\n\010ARTIFACT\020\001\022\t\n"
+          + "\005IMAGE\020\002\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005"
+          + "value\030\002 \001(\t:\0028\001\"v\n\027DeploymentResourcesTy"
+          + "pe\022)\n%DEPLOYMENT_RESOURCES_TYPE_UNSPECIF"
+          + "IED\020\000\022\027\n\023DEDICATED_RESOURCES\020\001\022\027\n\023AUTOMA"
+          + "TIC_RESOURCES\020\002:\\\352AY\n\037aiplatform.googlea"
+          + "pis.com/Model\0226projects/{project}/locati"
+          + "ons/{location}/models/{model}\"{\n\017Predict"
+          + "Schemata\022 \n\023instance_schema_uri\030\001 \001(\tB\003\340"
+          + "A\005\022\"\n\025parameters_schema_uri\030\002 \001(\tB\003\340A\005\022\""
+          + "\n\025prediction_schema_uri\030\003 \001(\tB\003\340A\005\"\205\002\n\022M"
+          + "odelContainerSpec\022\031\n\timage_uri\030\001 \001(\tB\006\340A"
+          + "\002\340A\005\022\024\n\007command\030\002 \003(\tB\003\340A\005\022\021\n\004args\030\003 \003(\t"
+          + "B\003\340A\005\0229\n\003env\030\004 \003(\0132\'.google.cloud.aiplat"
+          + "form.v1beta1.EnvVarB\003\340A\005\0229\n\005ports\030\005 \003(\0132"
+          + "%.google.cloud.aiplatform.v1beta1.PortB\003"
+          + "\340A\005\022\032\n\rpredict_route\030\006 \001(\tB\003\340A\005\022\031\n\014healt"
+          + "h_route\030\007 \001(\tB\003\340A\005\"\036\n\004Port\022\026\n\016container_"
+          + "port\030\003 \001(\005B~\n#com.google.cloud.aiplatfor"
+          + "m.v1beta1B\nModelProtoP\001ZIgoogle.golang.o"
+          + "rg/genproto/googleapis/cloud/aiplatform/"
+          + "v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -133,6 +136,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DatasetProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DeployedModelNameProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
@@ -164,6 +168,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "ExplanationSpec",
               "Etag",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Model_ExportFormat_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Model_descriptor.getNestedTypes().get(0);
@@ -216,6 +221,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DatasetProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DeployedModelNameProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
index b8d6202ed..317cc7b1d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
@@ -65,34 +65,36 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "tobuf.ValueB\003\340A\002\022*\n\nparameters\030\003 \001(\0132\026.g"
           + "oogle.protobuf.Value\"Y\n\017PredictResponse\022"
           + "+\n\013predictions\030\001 \003(\0132\026.google.protobuf.V"
-          + "alue\022\031\n\021deployed_model_id\030\002 \001(\t\"\305\001\n\016Expl"
+          + "alue\022\031\n\021deployed_model_id\030\002 \001(\t\"\242\002\n\016Expl"
           + "ainRequest\022<\n\010endpoint\030\001 \001(\tB*\340A\002\372A$\n\"ai"
           + "platform.googleapis.com/Endpoint\022.\n\tinst"
           + "ances\030\002 \003(\0132\026.google.protobuf.ValueB\003\340A\002"
           + "\022*\n\nparameters\030\004 \001(\0132\026.google.protobuf.V"
-          + "alue\022\031\n\021deployed_model_id\030\003 \001(\t\"\235\001\n\017Expl"
-          + "ainResponse\022B\n\014explanations\030\001 \003(\0132,.goog"
-          + "le.cloud.aiplatform.v1beta1.Explanation\022"
-          + "\031\n\021deployed_model_id\030\002 \001(\t\022+\n\013prediction"
-          + "s\030\003 \003(\0132\026.google.protobuf.Value2\250\004\n\021Pred"
-          + "ictionService\022\327\001\n\007Predict\022/.google.cloud"
-          + ".aiplatform.v1beta1.PredictRequest\0320.goo"
-          + "gle.cloud.aiplatform.v1beta1.PredictResp"
-          + "onse\"i\202\323\344\223\002C\">/v1beta1/{endpoint=project"
-          + "s/*/locations/*/endpoints/*}:predict:\001*\332"
-          + "A\035endpoint,instances,parameters\022\351\001\n\007Expl"
-          + "ain\022/.google.cloud.aiplatform.v1beta1.Ex"
-          + "plainRequest\0320.google.cloud.aiplatform.v"
-          + "1beta1.ExplainResponse\"{\202\323\344\223\002C\">/v1beta1"
-          + "/{endpoint=projects/*/locations/*/endpoi"
-          + "nts/*}:explain:\001*\332A/endpoint,instances,p"
-          + "arameters,deployed_model_id\032M\312A\031aiplatfo"
-          + "rm.googleapis.com\322A.https://www.googleap"
-          + "is.com/auth/cloud-platformB\212\001\n#com.googl"
-          + "e.cloud.aiplatform.v1beta1B\026PredictionSe"
-          + "rviceProtoP\001ZIgoogle.golang.org/genproto"
-          + "/googleapis/cloud/aiplatform/v1beta1;aip"
-          + "latformb\006proto3"
+          + "alue\022[\n\031explanation_spec_override\030\005 \001(\0132"
+          + "8.google.cloud.aiplatform.v1beta1.Explan"
+          + "ationSpecOverride\022\031\n\021deployed_model_id\030\003"
+          + " \001(\t\"\235\001\n\017ExplainResponse\022B\n\014explanations"
+          + "\030\001 \003(\0132,.google.cloud.aiplatform.v1beta1"
+          + ".Explanation\022\031\n\021deployed_model_id\030\002 \001(\t\022"
+          + "+\n\013predictions\030\003 \003(\0132\026.google.protobuf.V"
+          + "alue2\250\004\n\021PredictionService\022\327\001\n\007Predict\022/"
+          + ".google.cloud.aiplatform.v1beta1.Predict"
+          + "Request\0320.google.cloud.aiplatform.v1beta"
+          + "1.PredictResponse\"i\202\323\344\223\002C\">/v1beta1/{end"
+          + "point=projects/*/locations/*/endpoints/*"
+          + "}:predict:\001*\332A\035endpoint,instances,parame"
+          + "ters\022\351\001\n\007Explain\022/.google.cloud.aiplatfo"
+          + "rm.v1beta1.ExplainRequest\0320.google.cloud"
+          + ".aiplatform.v1beta1.ExplainResponse\"{\202\323\344"
+          + "\223\002C\">/v1beta1/{endpoint=projects/*/locat"
+          + "ions/*/endpoints/*}:explain:\001*\332A/endpoin"
+          + "t,instances,parameters,deployed_model_id"
+          + "\032M\312A\031aiplatform.googleapis.com\322A.https:/"
+          + "/www.googleapis.com/auth/cloud-platformB"
+          + "\212\001\n#com.google.cloud.aiplatform.v1beta1B"
+          + "\026PredictionServiceProtoP\001ZIgoogle.golang"
+          + ".org/genproto/googleapis/cloud/aiplatfor"
+          + "m/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -127,7 +129,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ExplainRequest_descriptor,
             new java.lang.String[] {
-              "Endpoint", "Instances", "Parameters", "DeployedModelId",
+              "Endpoint", "Instances", "Parameters", "ExplanationSpecOverride", "DeployedModelId",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ExplainResponse_descriptor =
         getDescriptor().getMessageTypes().get(3);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
index 53ac48b90..281e54cbc 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
@@ -41,6 +41,7 @@ private SearchMigratableResourcesRequest(
   private SearchMigratableResourcesRequest() {
     parent_ = "";
     pageToken_ = "";
+    filter_ = "";
   }
 
   @java.lang.Override
@@ -91,6 +92,13 @@ private SearchMigratableResourcesRequest(
               pageToken_ = s;
               break;
             }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -254,6 +262,71 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
     }
   }
 
+  public static final int FILTER_FIELD_NUMBER = 4;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The filter.
+   */
+  @java.lang.Override
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The bytes for filter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getFilterBytes() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      filter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -277,6 +350,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (!getPageTokenBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 3, pageToken_);
     }
+    if (!getFilterBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, filter_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -295,6 +371,9 @@ public int getSerializedSize() {
     if (!getPageTokenBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, pageToken_);
     }
+    if (!getFilterBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, filter_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -314,6 +393,7 @@ public boolean equals(final java.lang.Object obj) {
     if (!getParent().equals(other.getParent())) return false;
     if (getPageSize() != other.getPageSize()) return false;
     if (!getPageToken().equals(other.getPageToken())) return false;
+    if (!getFilter().equals(other.getFilter())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -331,6 +411,8 @@ public int hashCode() {
     hash = (53 * hash) + getPageSize();
     hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER;
     hash = (53 * hash) + getPageToken().hashCode();
+    hash = (37 * hash) + FILTER_FIELD_NUMBER;
+    hash = (53 * hash) + getFilter().hashCode();
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -485,6 +567,8 @@ public Builder clear() {
 
       pageToken_ = "";
 
+      filter_ = "";
+
       return this;
     }
 
@@ -517,6 +601,7 @@ public com.google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest buil
       result.parent_ = parent_;
       result.pageSize_ = pageSize_;
       result.pageToken_ = pageToken_;
+      result.filter_ = filter_;
       onBuilt();
       return result;
     }
@@ -581,6 +666,10 @@ public Builder mergeFrom(
         pageToken_ = other.pageToken_;
         onChanged();
       }
+      if (!other.getFilter().isEmpty()) {
+        filter_ = other.filter_;
+        onChanged();
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -909,6 +998,152 @@ public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
index 745f02b0f..a7fe855c4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
@@ -98,4 +98,45 @@ public interface SearchMigratableResourcesRequestOrBuilder
    * @return The bytes for pageToken.
    */
   com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
index f2d574cd0..3948ee145 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
@@ -192,11 +192,9 @@ public GradientNoiseSigmaCase getGradientNoiseSigmaCase() {
    * This is a single float value and will be used to add noise to all the
    * features. Use this field when all features are normalized to have the
    * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-   * features are normalized to have 0-mean and 1-variance. Refer to
-   * this doc for more details about normalization:
-   * https:
-   * //developers.google.com/machine-learning
-   * // /data-prep/transform/normalization.
+   * features are normalized to have 0-mean and 1-variance. For more details
+   * about normalization:
+   * https://tinyurl.com/dgc-normalization.
    * For best results the recommended value is about 10% - 20% of the standard
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -717,11 +715,9 @@ public Builder clearGradientNoiseSigma() {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. Refer to
-     * this doc for more details about normalization:
-     * https:
-     * //developers.google.com/machine-learning
-     * // /data-prep/transform/normalization.
+     * features are normalized to have 0-mean and 1-variance. For more details
+     * about normalization:
+     * https://tinyurl.com/dgc-normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -747,11 +743,9 @@ public float getNoiseSigma() {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. Refer to
-     * this doc for more details about normalization:
-     * https:
-     * //developers.google.com/machine-learning
-     * // /data-prep/transform/normalization.
+     * features are normalized to have 0-mean and 1-variance. For more details
+     * about normalization:
+     * https://tinyurl.com/dgc-normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -778,11 +772,9 @@ public Builder setNoiseSigma(float value) {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. Refer to
-     * this doc for more details about normalization:
-     * https:
-     * //developers.google.com/machine-learning
-     * // /data-prep/transform/normalization.
+     * features are normalized to have 0-mean and 1-variance. For more details
+     * about normalization:
+     * https://tinyurl.com/dgc-normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
index 47d57d5ab..fd7bd2dfe 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
@@ -30,11 +30,9 @@ public interface SmoothGradConfigOrBuilder
    * This is a single float value and will be used to add noise to all the
    * features. Use this field when all features are normalized to have the
    * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-   * features are normalized to have 0-mean and 1-variance. Refer to
-   * this doc for more details about normalization:
-   * https:
-   * //developers.google.com/machine-learning
-   * // /data-prep/transform/normalization.
+   * features are normalized to have 0-mean and 1-variance. For more details
+   * about normalization:
+   * https://tinyurl.com/dgc-normalization.
    * For best results the recommended value is about 10% - 20% of the standard
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
index 4873428eb..d769cfb2d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
@@ -101,87 +101,100 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "google/api/field_behavior.proto\032\031google/"
           + "api/resource.proto\032\036google/protobuf/dura"
           + "tion.proto\032\034google/protobuf/struct.proto"
-          + "\032\037google/protobuf/timestamp.proto\032\034googl"
-          + "e/api/annotations.proto\"\330\004\n\005Trial\022\017\n\002id\030"
-          + "\002 \001(\tB\003\340A\003\022@\n\005state\030\003 \001(\0162,.google.cloud"
-          + ".aiplatform.v1beta1.Trial.StateB\003\340A\003\022I\n\n"
-          + "parameters\030\004 \003(\01320.google.cloud.aiplatfo"
-          + "rm.v1beta1.Trial.ParameterB\003\340A\003\022L\n\021final"
-          + "_measurement\030\005 \001(\0132,.google.cloud.aiplat"
-          + "form.v1beta1.MeasurementB\003\340A\003\0223\n\nstart_t"
-          + "ime\030\007 \001(\0132\032.google.protobuf.TimestampB\003\340"
-          + "A\003\0221\n\010end_time\030\010 \001(\0132\032.google.protobuf.T"
-          + "imestampB\003\340A\003\022?\n\ncustom_job\030\013 \001(\tB+\340A\003\372A"
-          + "%\n#aiplatform.googleapis.com/CustomJob\032R"
-          + "\n\tParameter\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\003\022*"
-          + "\n\005value\030\002 \001(\0132\026.google.protobuf.ValueB\003\340"
-          + "A\003\"f\n\005State\022\025\n\021STATE_UNSPECIFIED\020\000\022\r\n\tRE"
-          + "QUESTED\020\001\022\n\n\006ACTIVE\020\002\022\014\n\010STOPPING\020\003\022\r\n\tS"
-          + "UCCEEDED\020\004\022\016\n\nINFEASIBLE\020\005\"\310\021\n\tStudySpec"
-          + "\022K\n\007metrics\030\001 \003(\01325.google.cloud.aiplatf"
-          + "orm.v1beta1.StudySpec.MetricSpecB\003\340A\002\022Q\n"
-          + "\nparameters\030\002 \003(\01328.google.cloud.aiplatf"
-          + "orm.v1beta1.StudySpec.ParameterSpecB\003\340A\002"
-          + "\022G\n\talgorithm\030\003 \001(\01624.google.cloud.aipla"
-          + "tform.v1beta1.StudySpec.Algorithm\032\272\001\n\nMe"
-          + "tricSpec\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\002\022Q\n\004goal"
-          + "\030\002 \001(\0162>.google.cloud.aiplatform.v1beta1"
-          + ".StudySpec.MetricSpec.GoalTypeB\003\340A\002\"A\n\010G"
-          + "oalType\022\031\n\025GOAL_TYPE_UNSPECIFIED\020\000\022\014\n\010MA"
-          + "XIMIZE\020\001\022\014\n\010MINIMIZE\020\002\032\310\r\n\rParameterSpec"
-          + "\022e\n\021double_value_spec\030\002 \001(\0132H.google.clo"
-          + "ud.aiplatform.v1beta1.StudySpec.Paramete"
-          + "rSpec.DoubleValueSpecH\000\022g\n\022integer_value"
-          + "_spec\030\003 \001(\0132I.google.cloud.aiplatform.v1"
-          + "beta1.StudySpec.ParameterSpec.IntegerVal"
-          + "ueSpecH\000\022o\n\026categorical_value_spec\030\004 \001(\013"
-          + "2M.google.cloud.aiplatform.v1beta1.Study"
-          + "Spec.ParameterSpec.CategoricalValueSpecH"
-          + "\000\022i\n\023discrete_value_spec\030\005 \001(\0132J.google."
-          + "cloud.aiplatform.v1beta1.StudySpec.Param"
-          + "eterSpec.DiscreteValueSpecH\000\022\031\n\014paramete"
-          + "r_id\030\001 \001(\tB\003\340A\002\022V\n\nscale_type\030\006 \001(\0162B.go"
+          + "\032\037google/protobuf/timestamp.proto\032\036googl"
+          + "e/protobuf/wrappers.proto\032\034google/api/an"
+          + "notations.proto\"\306\005\n\005Trial\022\017\n\002id\030\002 \001(\tB\003\340"
+          + "A\003\022@\n\005state\030\003 \001(\0162,.google.cloud.aiplatf"
+          + "orm.v1beta1.Trial.StateB\003\340A\003\022I\n\nparamete"
+          + "rs\030\004 \003(\01320.google.cloud.aiplatform.v1bet"
+          + "a1.Trial.ParameterB\003\340A\003\022L\n\021final_measure"
+          + "ment\030\005 \001(\0132,.google.cloud.aiplatform.v1b"
+          + "eta1.MeasurementB\003\340A\003\0223\n\nstart_time\030\007 \001("
+          + "\0132\032.google.protobuf.TimestampB\003\340A\003\0221\n\010en"
+          + "d_time\030\010 \001(\0132\032.google.protobuf.Timestamp"
+          + "B\003\340A\003\022?\n\ncustom_job\030\013 \001(\tB+\340A\003\372A%\n#aipla"
+          + "tform.googleapis.com/CustomJob\032R\n\tParame"
+          + "ter\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\003\022*\n\005value\030"
+          + "\002 \001(\0132\026.google.protobuf.ValueB\003\340A\003\"f\n\005St"
+          + "ate\022\025\n\021STATE_UNSPECIFIED\020\000\022\r\n\tREQUESTED\020"
+          + "\001\022\n\n\006ACTIVE\020\002\022\014\n\010STOPPING\020\003\022\r\n\tSUCCEEDED"
+          + "\020\004\022\016\n\nINFEASIBLE\020\005:l\352Ai\n\037aiplatform.goog"
+          + "leapis.com/Trial\022Fprojects/{project}/loc"
+          + "ations/{location}/studies/{study}/trials"
+          + "/{trial}\"\307\024\n\tStudySpec\022K\n\007metrics\030\001 \003(\0132"
+          + "5.google.cloud.aiplatform.v1beta1.StudyS"
+          + "pec.MetricSpecB\003\340A\002\022Q\n\nparameters\030\002 \003(\0132"
+          + "8.google.cloud.aiplatform.v1beta1.StudyS"
+          + "pec.ParameterSpecB\003\340A\002\022G\n\talgorithm\030\003 \001("
+          + "\01624.google.cloud.aiplatform.v1beta1.Stud"
+          + "ySpec.Algorithm\022V\n\021observation_noise\030\006 \001"
+          + "(\0162;.google.cloud.aiplatform.v1beta1.Stu"
+          + "dySpec.ObservationNoise\022g\n\032measurement_s"
+          + "election_type\030\007 \001(\0162C.google.cloud.aipla"
+          + "tform.v1beta1.StudySpec.MeasurementSelec"
+          + "tionType\032\272\001\n\nMetricSpec\022\026\n\tmetric_id\030\001 \001"
+          + "(\tB\003\340A\002\022Q\n\004goal\030\002 \001(\0162>.google.cloud.aip"
+          + "latform.v1beta1.StudySpec.MetricSpec.Goa"
+          + "lTypeB\003\340A\002\"A\n\010GoalType\022\031\n\025GOAL_TYPE_UNSP"
+          + "ECIFIED\020\000\022\014\n\010MAXIMIZE\020\001\022\014\n\010MINIMIZE\020\002\032\310\r"
+          + "\n\rParameterSpec\022e\n\021double_value_spec\030\002 \001"
+          + "(\0132H.google.cloud.aiplatform.v1beta1.Stu"
+          + "dySpec.ParameterSpec.DoubleValueSpecH\000\022g"
+          + "\n\022integer_value_spec\030\003 \001(\0132I.google.clou"
+          + "d.aiplatform.v1beta1.StudySpec.Parameter"
+          + "Spec.IntegerValueSpecH\000\022o\n\026categorical_v"
+          + "alue_spec\030\004 \001(\0132M.google.cloud.aiplatfor"
+          + "m.v1beta1.StudySpec.ParameterSpec.Catego"
+          + "ricalValueSpecH\000\022i\n\023discrete_value_spec\030"
+          + "\005 \001(\0132J.google.cloud.aiplatform.v1beta1."
+          + "StudySpec.ParameterSpec.DiscreteValueSpe"
+          + "cH\000\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\002\022V\n\nscale_"
+          + "type\030\006 \001(\0162B.google.cloud.aiplatform.v1b"
+          + "eta1.StudySpec.ParameterSpec.ScaleType\022v"
+          + "\n\033conditional_parameter_specs\030\n \003(\0132Q.go"
           + "ogle.cloud.aiplatform.v1beta1.StudySpec."
-          + "ParameterSpec.ScaleType\022v\n\033conditional_p"
-          + "arameter_specs\030\n \003(\0132Q.google.cloud.aipl"
-          + "atform.v1beta1.StudySpec.ParameterSpec.C"
-          + "onditionalParameterSpec\032A\n\017DoubleValueSp"
-          + "ec\022\026\n\tmin_value\030\001 \001(\001B\003\340A\002\022\026\n\tmax_value\030"
-          + "\002 \001(\001B\003\340A\002\032B\n\020IntegerValueSpec\022\026\n\tmin_va"
-          + "lue\030\001 \001(\003B\003\340A\002\022\026\n\tmax_value\030\002 \001(\003B\003\340A\002\032+"
-          + "\n\024CategoricalValueSpec\022\023\n\006values\030\001 \003(\tB\003"
-          + "\340A\002\032(\n\021DiscreteValueSpec\022\023\n\006values\030\001 \003(\001"
-          + "B\003\340A\002\032\271\005\n\030ConditionalParameterSpec\022\212\001\n\026p"
-          + "arent_discrete_values\030\002 \001(\0132h.google.clo"
-          + "ud.aiplatform.v1beta1.StudySpec.Paramete"
-          + "rSpec.ConditionalParameterSpec.DiscreteV"
-          + "alueConditionH\000\022\200\001\n\021parent_int_values\030\003 "
-          + "\001(\0132c.google.cloud.aiplatform.v1beta1.St"
-          + "udySpec.ParameterSpec.ConditionalParamet"
-          + "erSpec.IntValueConditionH\000\022\220\001\n\031parent_ca"
-          + "tegorical_values\030\004 \001(\0132k.google.cloud.ai"
-          + "platform.v1beta1.StudySpec.ParameterSpec"
-          + ".ConditionalParameterSpec.CategoricalVal"
-          + "ueConditionH\000\022U\n\016parameter_spec\030\001 \001(\01328."
+          + "ParameterSpec.ConditionalParameterSpec\032A"
+          + "\n\017DoubleValueSpec\022\026\n\tmin_value\030\001 \001(\001B\003\340A"
+          + "\002\022\026\n\tmax_value\030\002 \001(\001B\003\340A\002\032B\n\020IntegerValu"
+          + "eSpec\022\026\n\tmin_value\030\001 \001(\003B\003\340A\002\022\026\n\tmax_val"
+          + "ue\030\002 \001(\003B\003\340A\002\032+\n\024CategoricalValueSpec\022\023\n"
+          + "\006values\030\001 \003(\tB\003\340A\002\032(\n\021DiscreteValueSpec\022"
+          + "\023\n\006values\030\001 \003(\001B\003\340A\002\032\271\005\n\030ConditionalPara"
+          + "meterSpec\022\212\001\n\026parent_discrete_values\030\002 \001"
+          + "(\0132h.google.cloud.aiplatform.v1beta1.Stu"
+          + "dySpec.ParameterSpec.ConditionalParamete"
+          + "rSpec.DiscreteValueConditionH\000\022\200\001\n\021paren"
+          + "t_int_values\030\003 \001(\0132c.google.cloud.aiplat"
+          + "form.v1beta1.StudySpec.ParameterSpec.Con"
+          + "ditionalParameterSpec.IntValueConditionH"
+          + "\000\022\220\001\n\031parent_categorical_values\030\004 \001(\0132k."
           + "google.cloud.aiplatform.v1beta1.StudySpe"
-          + "c.ParameterSpecB\003\340A\002\032-\n\026DiscreteValueCon"
-          + "dition\022\023\n\006values\030\001 \003(\001B\003\340A\002\032(\n\021IntValueC"
-          + "ondition\022\023\n\006values\030\001 \003(\003B\003\340A\002\0320\n\031Categor"
-          + "icalValueCondition\022\023\n\006values\030\001 \003(\tB\003\340A\002B"
-          + "\030\n\026parent_value_condition\"n\n\tScaleType\022\032"
-          + "\n\026SCALE_TYPE_UNSPECIFIED\020\000\022\025\n\021UNIT_LINEA"
-          + "R_SCALE\020\001\022\022\n\016UNIT_LOG_SCALE\020\002\022\032\n\026UNIT_RE"
-          + "VERSE_LOG_SCALE\020\003B\026\n\024parameter_value_spe"
-          + "c\"J\n\tAlgorithm\022\031\n\025ALGORITHM_UNSPECIFIED\020"
-          + "\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRANDOM_SEARCH\020\003\"\247\001"
-          + "\n\013Measurement\022\027\n\nstep_count\030\002 \001(\003B\003\340A\003\022I"
-          + "\n\007metrics\030\003 \003(\01323.google.cloud.aiplatfor"
-          + "m.v1beta1.Measurement.MetricB\003\340A\003\0324\n\006Met"
-          + "ric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005value\030\002 \001"
-          + "(\001B\003\340A\003B~\n#com.google.cloud.aiplatform.v"
-          + "1beta1B\nStudyProtoP\001ZIgoogle.golang.org/"
-          + "genproto/googleapis/cloud/aiplatform/v1b"
-          + "eta1;aiplatformb\006proto3"
+          + "c.ParameterSpec.ConditionalParameterSpec"
+          + ".CategoricalValueConditionH\000\022U\n\016paramete"
+          + "r_spec\030\001 \001(\01328.google.cloud.aiplatform.v"
+          + "1beta1.StudySpec.ParameterSpecB\003\340A\002\032-\n\026D"
+          + "iscreteValueCondition\022\023\n\006values\030\001 \003(\001B\003\340"
+          + "A\002\032(\n\021IntValueCondition\022\023\n\006values\030\001 \003(\003B"
+          + "\003\340A\002\0320\n\031CategoricalValueCondition\022\023\n\006val"
+          + "ues\030\001 \003(\tB\003\340A\002B\030\n\026parent_value_condition"
+          + "\"n\n\tScaleType\022\032\n\026SCALE_TYPE_UNSPECIFIED\020"
+          + "\000\022\025\n\021UNIT_LINEAR_SCALE\020\001\022\022\n\016UNIT_LOG_SCA"
+          + "LE\020\002\022\032\n\026UNIT_REVERSE_LOG_SCALE\020\003B\026\n\024para"
+          + "meter_value_spec\"J\n\tAlgorithm\022\031\n\025ALGORIT"
+          + "HM_UNSPECIFIED\020\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRAN"
+          + "DOM_SEARCH\020\003\"H\n\020ObservationNoise\022!\n\035OBSE"
+          + "RVATION_NOISE_UNSPECIFIED\020\000\022\007\n\003LOW\020\001\022\010\n\004"
+          + "HIGH\020\002\"r\n\030MeasurementSelectionType\022*\n&ME"
+          + "ASUREMENT_SELECTION_TYPE_UNSPECIFIED\020\000\022\024"
+          + "\n\020LAST_MEASUREMENT\020\001\022\024\n\020BEST_MEASUREMENT"
+          + "\020\002\"\247\001\n\013Measurement\022\027\n\nstep_count\030\002 \001(\003B\003"
+          + "\340A\003\022I\n\007metrics\030\003 \003(\01323.google.cloud.aipl"
+          + "atform.v1beta1.Measurement.MetricB\003\340A\003\0324"
+          + "\n\006Metric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005valu"
+          + "e\030\002 \001(\001B\003\340A\003B~\n#com.google.cloud.aiplatf"
+          + "orm.v1beta1B\nStudyProtoP\001ZIgoogle.golang"
+          + ".org/genproto/googleapis/cloud/aiplatfor"
+          + "m/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -192,6 +205,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.protobuf.DurationProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.protobuf.WrappersProto.getDescriptor(),
               com.google.api.AnnotationsProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_Trial_descriptor =
@@ -216,7 +230,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_StudySpec_descriptor,
             new java.lang.String[] {
-              "Metrics", "Parameters", "Algorithm",
+              "Metrics", "Parameters", "Algorithm", "ObservationNoise", "MeasurementSelectionType",
             });
     internal_static_google_cloud_aiplatform_v1beta1_StudySpec_MetricSpec_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_StudySpec_descriptor
@@ -350,6 +364,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
     registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
     registry.add(com.google.api.ResourceProto.resourceReference);
     com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
         descriptor, registry);
@@ -358,6 +373,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.protobuf.DurationProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.protobuf.WrappersProto.getDescriptor();
     com.google.api.AnnotationsProto.getDescriptor();
   }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
index 251335b9d..4b8c8ce8b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
@@ -41,6 +41,8 @@ private StudySpec() {
     metrics_ = java.util.Collections.emptyList();
     parameters_ = java.util.Collections.emptyList();
     algorithm_ = 0;
+    observationNoise_ = 0;
+    measurementSelectionType_ = 0;
   }
 
   @java.lang.Override
@@ -108,6 +110,20 @@ private StudySpec(
               algorithm_ = rawValue;
               break;
             }
+          case 48:
+            {
+              int rawValue = input.readEnum();
+
+              observationNoise_ = rawValue;
+              break;
+            }
+          case 56:
+            {
+              int rawValue = input.readEnum();
+
+              measurementSelectionType_ = rawValue;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -307,6 +323,345 @@ private Algorithm(int value) {
     // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.Algorithm)
   }
 
+  /**
+   *
+   *
+   * <pre>
+   * Describes the noise level of the repeated observations.
+   * "Noisy" means that the repeated observations with the same Trial parameters
+   * may lead to different metric evaluations.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise}
+   */
+  public enum ObservationNoise implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * The default noise level chosen by the AI Platform service.
+     * </pre>
+     *
+     * <code>OBSERVATION_NOISE_UNSPECIFIED = 0;</code>
+     */
+    OBSERVATION_NOISE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier assumes that the objective function is (nearly)
+     * perfectly reproducible, and will never repeat the same Trial
+     * parameters.
+     * </pre>
+     *
+     * <code>LOW = 1;</code>
+     */
+    LOW(1),
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier will estimate the amount of noise in metric
+     * evaluations, it may repeat the same Trial parameters more than once.
+     * </pre>
+     *
+     * <code>HIGH = 2;</code>
+     */
+    HIGH(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * The default noise level chosen by the AI Platform service.
+     * </pre>
+     *
+     * <code>OBSERVATION_NOISE_UNSPECIFIED = 0;</code>
+     */
+    public static final int OBSERVATION_NOISE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier assumes that the objective function is (nearly)
+     * perfectly reproducible, and will never repeat the same Trial
+     * parameters.
+     * </pre>
+     *
+     * <code>LOW = 1;</code>
+     */
+    public static final int LOW_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier will estimate the amount of noise in metric
+     * evaluations, it may repeat the same Trial parameters more than once.
+     * </pre>
+     *
+     * <code>HIGH = 2;</code>
+     */
+    public static final int HIGH_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ObservationNoise valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ObservationNoise forNumber(int value) {
+      switch (value) {
+        case 0:
+          return OBSERVATION_NOISE_UNSPECIFIED;
+        case 1:
+          return LOW;
+        case 2:
+          return HIGH;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ObservationNoise> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ObservationNoise>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<ObservationNoise>() {
+              public ObservationNoise findValueByNumber(int number) {
+                return ObservationNoise.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.StudySpec.getDescriptor().getEnumTypes().get(1);
+    }
+
+    private static final ObservationNoise[] VALUES = values();
+
+    public static ObservationNoise valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ObservationNoise(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise)
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * This indicates which measurement to use if/when the service automatically
+   * selects the final measurement from previously reported intermediate
+   * measurements. Choose this based on two considerations:
+   *  A) Do you expect your measurements to monotonically improve?
+   *     If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
+   *     situation where your system can "over-train" and you expect the
+   *     performance to get better for a while but then start declining,
+   *     choose BEST_MEASUREMENT.
+   *  B) Are your measurements significantly noisy and/or irreproducible?
+   *     If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
+   *     may be better to choose LAST_MEASUREMENT.
+   *  If both or neither of (A) and (B) apply, it doesn't matter which
+   *  selection type is chosen.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType}
+   */
+  public enum MeasurementSelectionType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Will be treated as LAST_MEASUREMENT.
+     * </pre>
+     *
+     * <code>MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MEASUREMENT_SELECTION_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * Use the last measurement reported.
+     * </pre>
+     *
+     * <code>LAST_MEASUREMENT = 1;</code>
+     */
+    LAST_MEASUREMENT(1),
+    /**
+     *
+     *
+     * <pre>
+     * Use the best measurement reported.
+     * </pre>
+     *
+     * <code>BEST_MEASUREMENT = 2;</code>
+     */
+    BEST_MEASUREMENT(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Will be treated as LAST_MEASUREMENT.
+     * </pre>
+     *
+     * <code>MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MEASUREMENT_SELECTION_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Use the last measurement reported.
+     * </pre>
+     *
+     * <code>LAST_MEASUREMENT = 1;</code>
+     */
+    public static final int LAST_MEASUREMENT_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Use the best measurement reported.
+     * </pre>
+     *
+     * <code>BEST_MEASUREMENT = 2;</code>
+     */
+    public static final int BEST_MEASUREMENT_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static MeasurementSelectionType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static MeasurementSelectionType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MEASUREMENT_SELECTION_TYPE_UNSPECIFIED;
+        case 1:
+          return LAST_MEASUREMENT;
+        case 2:
+          return BEST_MEASUREMENT;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>
+        internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>() {
+              public MeasurementSelectionType findValueByNumber(int number) {
+                return MeasurementSelectionType.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.StudySpec.getDescriptor().getEnumTypes().get(2);
+    }
+
+    private static final MeasurementSelectionType[] VALUES = values();
+
+    public static MeasurementSelectionType valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private MeasurementSelectionType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType)
+  }
+
   public interface MetricSpecOrBuilder
       extends
       // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec)
@@ -12979,6 +13334,92 @@ public com.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm getAlgorithm() {
         : result;
   }
 
+  public static final int OBSERVATION_NOISE_FIELD_NUMBER = 6;
+  private int observationNoise_;
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The enum numeric value on the wire for observationNoise.
+   */
+  @java.lang.Override
+  public int getObservationNoiseValue() {
+    return observationNoise_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The observationNoise.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise result =
+        com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.valueOf(observationNoise_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.UNRECOGNIZED
+        : result;
+  }
+
+  public static final int MEASUREMENT_SELECTION_TYPE_FIELD_NUMBER = 7;
+  private int measurementSelectionType_;
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for measurementSelectionType.
+   */
+  @java.lang.Override
+  public int getMeasurementSelectionTypeValue() {
+    return measurementSelectionType_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The measurementSelectionType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+      getMeasurementSelectionType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType result =
+        com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.valueOf(
+            measurementSelectionType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.UNRECOGNIZED
+        : result;
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -13004,6 +13445,18 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
             .getNumber()) {
       output.writeEnum(3, algorithm_);
     }
+    if (observationNoise_
+        != com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise
+            .OBSERVATION_NOISE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(6, observationNoise_);
+    }
+    if (measurementSelectionType_
+        != com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+            .MEASUREMENT_SELECTION_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(7, measurementSelectionType_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -13024,6 +13477,18 @@ public int getSerializedSize() {
             .getNumber()) {
       size += com.google.protobuf.CodedOutputStream.computeEnumSize(3, algorithm_);
     }
+    if (observationNoise_
+        != com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise
+            .OBSERVATION_NOISE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(6, observationNoise_);
+    }
+    if (measurementSelectionType_
+        != com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+            .MEASUREMENT_SELECTION_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(7, measurementSelectionType_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -13043,6 +13508,8 @@ public boolean equals(final java.lang.Object obj) {
     if (!getMetricsList().equals(other.getMetricsList())) return false;
     if (!getParametersList().equals(other.getParametersList())) return false;
     if (algorithm_ != other.algorithm_) return false;
+    if (observationNoise_ != other.observationNoise_) return false;
+    if (measurementSelectionType_ != other.measurementSelectionType_) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -13064,6 +13531,10 @@ public int hashCode() {
     }
     hash = (37 * hash) + ALGORITHM_FIELD_NUMBER;
     hash = (53 * hash) + algorithm_;
+    hash = (37 * hash) + OBSERVATION_NOISE_FIELD_NUMBER;
+    hash = (53 * hash) + observationNoise_;
+    hash = (37 * hash) + MEASUREMENT_SELECTION_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + measurementSelectionType_;
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -13226,6 +13697,10 @@ public Builder clear() {
       }
       algorithm_ = 0;
 
+      observationNoise_ = 0;
+
+      measurementSelectionType_ = 0;
+
       return this;
     }
 
@@ -13273,6 +13748,8 @@ public com.google.cloud.aiplatform.v1beta1.StudySpec buildPartial() {
         result.parameters_ = parametersBuilder_.build();
       }
       result.algorithm_ = algorithm_;
+      result.observationNoise_ = observationNoise_;
+      result.measurementSelectionType_ = measurementSelectionType_;
       onBuilt();
       return result;
     }
@@ -13379,6 +13856,12 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.StudySpec other) {
       if (other.algorithm_ != 0) {
         setAlgorithmValue(other.getAlgorithmValue());
       }
+      if (other.observationNoise_ != 0) {
+        setObservationNoiseValue(other.getObservationNoiseValue());
+      }
+      if (other.measurementSelectionType_ != 0) {
+        setMeasurementSelectionTypeValue(other.getMeasurementSelectionTypeValue());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -14306,6 +14789,221 @@ public Builder clearAlgorithm() {
       return this;
     }
 
+    private int observationNoise_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for observationNoise.
+     */
+    @java.lang.Override
+    public int getObservationNoiseValue() {
+      return observationNoise_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for observationNoise to set.
+     * @return This builder for chaining.
+     */
+    public Builder setObservationNoiseValue(int value) {
+
+      observationNoise_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @return The observationNoise.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise result =
+          com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.valueOf(observationNoise_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @param value The observationNoise to set.
+     * @return This builder for chaining.
+     */
+    public Builder setObservationNoise(
+        com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      observationNoise_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearObservationNoise() {
+
+      observationNoise_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int measurementSelectionType_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for measurementSelectionType.
+     */
+    @java.lang.Override
+    public int getMeasurementSelectionTypeValue() {
+      return measurementSelectionType_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for measurementSelectionType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMeasurementSelectionTypeValue(int value) {
+
+      measurementSelectionType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return The measurementSelectionType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+        getMeasurementSelectionType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType result =
+          com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.valueOf(
+              measurementSelectionType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @param value The measurementSelectionType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMeasurementSelectionType(
+        com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      measurementSelectionType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMeasurementSelectionType() {
+
+      measurementSelectionType_ = 0;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
index 558724456..fcbd0fde9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
@@ -172,4 +172,63 @@ com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpecOrBuilder getParamete
    * @return The algorithm.
    */
   com.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm getAlgorithm();
+
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The enum numeric value on the wire for observationNoise.
+   */
+  int getObservationNoiseValue();
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The observationNoise.
+   */
+  com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise();
+
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for measurementSelectionType.
+   */
+  int getMeasurementSelectionTypeValue();
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The measurementSelectionType.
+   */
+  com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+      getMeasurementSelectionType();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
index 353aa7d57..03f4b1206 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
@@ -254,6 +254,23 @@ private TrainingPipeline(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 146:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -655,7 +672,7 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -683,7 +700,7 @@ public boolean hasModelToUpload() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -713,7 +730,7 @@ public com.google.cloud.aiplatform.v1beta1.Model getModelToUpload() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -1144,6 +1161,63 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 18;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -1201,6 +1275,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 15);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(18, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -1262,6 +1339,9 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(15, labels__);
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(18, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1319,6 +1399,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1378,6 +1462,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1610,6 +1698,12 @@ public Builder clear() {
         updateTimeBuilder_ = null;
       }
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1689,6 +1783,11 @@ public com.google.cloud.aiplatform.v1beta1.TrainingPipeline buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1782,6 +1881,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.TrainingPipeline ot
         mergeUpdateTime(other.getUpdateTime());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2860,7 +2962,7 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2887,7 +2989,7 @@ public boolean hasModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2920,7 +3022,7 @@ public com.google.cloud.aiplatform.v1beta1.Model getModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2955,7 +3057,7 @@ public Builder setModelToUpload(com.google.cloud.aiplatform.v1beta1.Model value)
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2988,7 +3090,7 @@ public Builder setModelToUpload(
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3027,7 +3129,7 @@ public Builder mergeModelToUpload(com.google.cloud.aiplatform.v1beta1.Model valu
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3060,7 +3162,7 @@ public Builder clearModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3087,7 +3189,7 @@ public com.google.cloud.aiplatform.v1beta1.Model.Builder getModelToUploadBuilder
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3118,7 +3220,7 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelToUploadOrBuil
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -4437,6 +4539,220 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
index 671252855..925dbdf68 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
@@ -263,7 +263,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -288,7 +288,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -313,7 +313,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -634,4 +634,48 @@ public interface TrainingPipelineOrBuilder
    * <code>map&lt;string, string&gt; labels = 15;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
index d5a1dc5a8..bd427e389 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
@@ -67,68 +67,71 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n7google/cloud/aiplatform/v1beta1/traini"
           + "ng_pipeline.proto\022\037google.cloud.aiplatfo"
           + "rm.v1beta1\032\037google/api/field_behavior.pr"
-          + "oto\032\031google/api/resource.proto\032(google/c"
-          + "loud/aiplatform/v1beta1/io.proto\0327google"
-          + "/cloud/aiplatform/v1beta1/machine_resour"
-          + "ces.proto\032Dgoogle/cloud/aiplatform/v1bet"
-          + "a1/manual_batch_tuning_parameters.proto\032"
-          + "+google/cloud/aiplatform/v1beta1/model.p"
-          + "roto\0324google/cloud/aiplatform/v1beta1/pi"
-          + "peline_state.proto\032\034google/protobuf/stru"
-          + "ct.proto\032\037google/protobuf/timestamp.prot"
-          + "o\032\027google/rpc/status.proto\032\034google/api/a"
-          + "nnotations.proto\"\253\007\n\020TrainingPipeline\022\021\n"
-          + "\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003"
-          + "\340A\002\022K\n\021input_data_config\030\003 \001(\01320.google."
-          + "cloud.aiplatform.v1beta1.InputDataConfig"
-          + "\022%\n\030training_task_definition\030\004 \001(\tB\003\340A\002\022"
-          + "9\n\024training_task_inputs\030\005 \001(\0132\026.google.p"
-          + "rotobuf.ValueB\003\340A\002\022;\n\026training_task_meta"
-          + "data\030\006 \001(\0132\026.google.protobuf.ValueB\003\340A\003\022"
-          + "?\n\017model_to_upload\030\007 \001(\0132&.google.cloud."
-          + "aiplatform.v1beta1.Model\022B\n\005state\030\t \001(\0162"
-          + "..google.cloud.aiplatform.v1beta1.Pipeli"
-          + "neStateB\003\340A\003\022&\n\005error\030\n \001(\0132\022.google.rpc"
-          + ".StatusB\003\340A\003\0224\n\013create_time\030\013 \001(\0132\032.goog"
-          + "le.protobuf.TimestampB\003\340A\003\0223\n\nstart_time"
-          + "\030\014 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
-          + "1\n\010end_time\030\r \001(\0132\032.google.protobuf.Time"
-          + "stampB\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google"
-          + ".protobuf.TimestampB\003\340A\003\022M\n\006labels\030\017 \003(\013"
-          + "2=.google.cloud.aiplatform.v1beta1.Train"
-          + "ingPipeline.LabelsEntry\032-\n\013LabelsEntry\022\013"
-          + "\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:~\352A{\n*aip"
-          + "latform.googleapis.com/TrainingPipeline\022"
-          + "Mprojects/{project}/locations/{location}"
-          + "/trainingPipelines/{training_pipeline}\"\311"
-          + "\004\n\017InputDataConfig\022H\n\016fraction_split\030\002 \001"
-          + "(\0132..google.cloud.aiplatform.v1beta1.Fra"
-          + "ctionSplitH\000\022D\n\014filter_split\030\003 \001(\0132,.goo"
-          + "gle.cloud.aiplatform.v1beta1.FilterSplit"
-          + "H\000\022L\n\020predefined_split\030\004 \001(\01320.google.cl"
-          + "oud.aiplatform.v1beta1.PredefinedSplitH\000"
-          + "\022J\n\017timestamp_split\030\005 \001(\0132/.google.cloud"
-          + ".aiplatform.v1beta1.TimestampSplitH\000\022J\n\017"
-          + "gcs_destination\030\010 \001(\0132/.google.cloud.aip"
-          + "latform.v1beta1.GcsDestinationH\001\022T\n\024bigq"
-          + "uery_destination\030\n \001(\01324.google.cloud.ai"
-          + "platform.v1beta1.BigQueryDestinationH\001\022\027"
-          + "\n\ndataset_id\030\001 \001(\tB\003\340A\002\022\032\n\022annotations_f"
-          + "ilter\030\006 \001(\t\022\035\n\025annotation_schema_uri\030\t \001"
-          + "(\tB\007\n\005splitB\r\n\013destination\"^\n\rFractionSp"
-          + "lit\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023valida"
-          + "tion_fraction\030\002 \001(\001\022\025\n\rtest_fraction\030\003 \001"
-          + "(\001\"e\n\013FilterSplit\022\034\n\017training_filter\030\001 \001"
-          + "(\tB\003\340A\002\022\036\n\021validation_filter\030\002 \001(\tB\003\340A\002\022"
-          + "\030\n\013test_filter\030\003 \001(\tB\003\340A\002\"#\n\017PredefinedS"
-          + "plit\022\020\n\003key\030\001 \001(\tB\003\340A\002\"q\n\016TimestampSplit"
-          + "\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023validatio"
-          + "n_fraction\030\002 \001(\001\022\025\n\rtest_fraction\030\003 \001(\001\022"
-          + "\020\n\003key\030\004 \001(\tB\003\340A\002B\211\001\n#com.google.cloud.a"
-          + "iplatform.v1beta1B\025TrainingPipelineProto"
-          + "P\001ZIgoogle.golang.org/genproto/googleapi"
-          + "s/cloud/aiplatform/v1beta1;aiplatformb\006p"
-          + "roto3"
+          + "oto\032\031google/api/resource.proto\0325google/c"
+          + "loud/aiplatform/v1beta1/encryption_spec."
+          + "proto\032(google/cloud/aiplatform/v1beta1/i"
+          + "o.proto\0327google/cloud/aiplatform/v1beta1"
+          + "/machine_resources.proto\032Dgoogle/cloud/a"
+          + "iplatform/v1beta1/manual_batch_tuning_pa"
+          + "rameters.proto\032+google/cloud/aiplatform/"
+          + "v1beta1/model.proto\0324google/cloud/aiplat"
+          + "form/v1beta1/pipeline_state.proto\032\034googl"
+          + "e/protobuf/struct.proto\032\037google/protobuf"
+          + "/timestamp.proto\032\027google/rpc/status.prot"
+          + "o\032\034google/api/annotations.proto\"\365\007\n\020Trai"
+          + "ningPipeline\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014displ"
+          + "ay_name\030\002 \001(\tB\003\340A\002\022K\n\021input_data_config\030"
+          + "\003 \001(\01320.google.cloud.aiplatform.v1beta1."
+          + "InputDataConfig\022%\n\030training_task_definit"
+          + "ion\030\004 \001(\tB\003\340A\002\0229\n\024training_task_inputs\030\005"
+          + " \001(\0132\026.google.protobuf.ValueB\003\340A\002\022;\n\026tra"
+          + "ining_task_metadata\030\006 \001(\0132\026.google.proto"
+          + "buf.ValueB\003\340A\003\022?\n\017model_to_upload\030\007 \001(\0132"
+          + "&.google.cloud.aiplatform.v1beta1.Model\022"
+          + "B\n\005state\030\t \001(\0162..google.cloud.aiplatform"
+          + ".v1beta1.PipelineStateB\003\340A\003\022&\n\005error\030\n \001"
+          + "(\0132\022.google.rpc.StatusB\003\340A\003\0224\n\013create_ti"
+          + "me\030\013 \001(\0132\032.google.protobuf.TimestampB\003\340A"
+          + "\003\0223\n\nstart_time\030\014 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\0221\n\010end_time\030\r \001(\0132\032.googl"
+          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
+          + "\030\016 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
+          + "M\n\006labels\030\017 \003(\0132=.google.cloud.aiplatfor"
+          + "m.v1beta1.TrainingPipeline.LabelsEntry\022H"
+          + "\n\017encryption_spec\030\022 \001(\0132/.google.cloud.a"
+          + "iplatform.v1beta1.EncryptionSpec\032-\n\013Labe"
+          + "lsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:"
+          + "~\352A{\n*aiplatform.googleapis.com/Training"
+          + "Pipeline\022Mprojects/{project}/locations/{"
+          + "location}/trainingPipelines/{training_pi"
+          + "peline}\"\311\004\n\017InputDataConfig\022H\n\016fraction_"
+          + "split\030\002 \001(\0132..google.cloud.aiplatform.v1"
+          + "beta1.FractionSplitH\000\022D\n\014filter_split\030\003 "
+          + "\001(\0132,.google.cloud.aiplatform.v1beta1.Fi"
+          + "lterSplitH\000\022L\n\020predefined_split\030\004 \001(\01320."
+          + "google.cloud.aiplatform.v1beta1.Predefin"
+          + "edSplitH\000\022J\n\017timestamp_split\030\005 \001(\0132/.goo"
+          + "gle.cloud.aiplatform.v1beta1.TimestampSp"
+          + "litH\000\022J\n\017gcs_destination\030\010 \001(\0132/.google."
+          + "cloud.aiplatform.v1beta1.GcsDestinationH"
+          + "\001\022T\n\024bigquery_destination\030\n \001(\01324.google"
+          + ".cloud.aiplatform.v1beta1.BigQueryDestin"
+          + "ationH\001\022\027\n\ndataset_id\030\001 \001(\tB\003\340A\002\022\032\n\022anno"
+          + "tations_filter\030\006 \001(\t\022\035\n\025annotation_schem"
+          + "a_uri\030\t \001(\tB\007\n\005splitB\r\n\013destination\"^\n\rF"
+          + "ractionSplit\022\031\n\021training_fraction\030\001 \001(\001\022"
+          + "\033\n\023validation_fraction\030\002 \001(\001\022\025\n\rtest_fra"
+          + "ction\030\003 \001(\001\"e\n\013FilterSplit\022\034\n\017training_f"
+          + "ilter\030\001 \001(\tB\003\340A\002\022\036\n\021validation_filter\030\002 "
+          + "\001(\tB\003\340A\002\022\030\n\013test_filter\030\003 \001(\tB\003\340A\002\"#\n\017Pr"
+          + "edefinedSplit\022\020\n\003key\030\001 \001(\tB\003\340A\002\"q\n\016Times"
+          + "tampSplit\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023"
+          + "validation_fraction\030\002 \001(\001\022\025\n\rtest_fracti"
+          + "on\030\003 \001(\001\022\020\n\003key\030\004 \001(\tB\003\340A\002B\211\001\n#com.googl"
+          + "e.cloud.aiplatform.v1beta1B\025TrainingPipe"
+          + "lineProtoP\001ZIgoogle.golang.org/genproto/"
+          + "googleapis/cloud/aiplatform/v1beta1;aipl"
+          + "atformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -136,6 +139,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParametersProto.getDescriptor(),
@@ -166,6 +170,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "EndTime",
               "UpdateTime",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_TrainingPipeline_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_TrainingPipeline_descriptor
@@ -235,6 +240,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParametersProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java
new file mode 100644
index 000000000..9697fffbb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java
@@ -0,0 +1,257 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1beta1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class TrialName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_STUDY_TRIAL =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/studies/{study}/trials/{trial}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String study;
+  private final String trial;
+
+  @Deprecated
+  protected TrialName() {
+    project = null;
+    location = null;
+    study = null;
+    trial = null;
+  }
+
+  private TrialName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    study = Preconditions.checkNotNull(builder.getStudy());
+    trial = Preconditions.checkNotNull(builder.getTrial());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getStudy() {
+    return study;
+  }
+
+  public String getTrial() {
+    return trial;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static TrialName of(String project, String location, String study, String trial) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setStudy(study)
+        .setTrial(trial)
+        .build();
+  }
+
+  public static String format(String project, String location, String study, String trial) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setStudy(study)
+        .setTrial(trial)
+        .build()
+        .toString();
+  }
+
+  public static TrialName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_STUDY_TRIAL.validatedMatch(
+            formattedString, "TrialName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("study"),
+        matchMap.get("trial"));
+  }
+
+  public static List<TrialName> parseList(List<String> formattedStrings) {
+    List<TrialName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<TrialName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (TrialName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_STUDY_TRIAL.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (study != null) {
+            fieldMapBuilder.put("study", study);
+          }
+          if (trial != null) {
+            fieldMapBuilder.put("trial", trial);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_STUDY_TRIAL.instantiate(
+        "project", project, "location", location, "study", study, "trial", trial);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      TrialName that = ((TrialName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.study, that.study)
+          && Objects.equals(this.trial, that.trial);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(study);
+    h *= 1000003;
+    h ^= Objects.hashCode(trial);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/studies/{study}/trials/{trial}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String study;
+    private String trial;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getStudy() {
+      return study;
+    }
+
+    public String getTrial() {
+      return trial;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setStudy(String study) {
+      this.study = study;
+      return this;
+    }
+
+    public Builder setTrial(String trial) {
+      this.trial = trial;
+      return this;
+    }
+
+    private Builder(TrialName trialName) {
+      project = trialName.project;
+      location = trialName.location;
+      study = trialName.study;
+      trial = trialName.trial;
+    }
+
+    public TrialName build() {
+      return new TrialName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
index 7327d82b5..823c09eb1 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
@@ -195,8 +195,7 @@ public com.google.cloud.aiplatform.v1beta1.DatasetOrBuilder getDatasetOrBuilder(
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -218,8 +217,7 @@ public boolean hasUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -241,8 +239,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -831,8 +828,7 @@ public com.google.cloud.aiplatform.v1beta1.DatasetOrBuilder getDatasetOrBuilder(
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -853,8 +849,7 @@ public boolean hasUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -881,8 +876,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -911,8 +905,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -938,8 +931,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -970,8 +962,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -998,8 +989,7 @@ public Builder clearUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -1020,8 +1010,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -1046,8 +1035,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
index 6e34c4c84..3a5dc293a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
@@ -70,8 +70,7 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -90,8 +89,7 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -110,8 +108,7 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
index d9f0a4fbb..3e01d02c6 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
@@ -194,6 +194,8 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointOrBuilde
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -210,6 +212,8 @@ public boolean hasUpdateMask() {
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -226,6 +230,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -810,6 +816,8 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointOrBuilde
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -825,6 +833,8 @@ public boolean hasUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -846,6 +856,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -869,6 +881,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -889,6 +903,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -914,6 +930,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -935,6 +953,8 @@ public Builder clearUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -950,6 +970,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -969,6 +991,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
index 615096d7a..d381f83e8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
@@ -69,6 +69,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -82,6 +84,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -95,6 +99,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
index bc165bd33..62902fada 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
@@ -193,9 +193,7 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelOrBuilder() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -213,9 +211,7 @@ public boolean hasUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -233,9 +229,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -820,9 +814,7 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -839,9 +831,7 @@ public boolean hasUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -864,9 +854,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -891,9 +879,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -915,9 +901,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -944,9 +928,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -969,9 +951,7 @@ public Builder clearUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -988,9 +968,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1011,9 +989,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
index 89739f46b..c05760803 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
@@ -70,9 +70,7 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -87,9 +85,7 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -104,9 +100,7 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
index ff1a3d185..8833bd2b2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
@@ -331,11 +331,11 @@ public com.google.cloud.aiplatform.v1beta1.PythonPackageSpec getPythonPackageSpe
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return Whether the machineSpec field is set.
@@ -348,11 +348,11 @@ public boolean hasMachineSpec() {
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return The machineSpec.
@@ -367,11 +367,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec getMachineSpec() {
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    */
   @java.lang.Override
@@ -385,10 +385,10 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
    *
    *
    * <pre>
-   * Required. The number of worker replicas to use for this worker pool.
+   * Optional. The number of worker replicas to use for this worker pool.
    * </pre>
    *
-   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
    *
    * @return The replicaCount.
    */
@@ -1337,11 +1337,11 @@ public Builder clearPythonPackageSpec() {
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      *
      * @return Whether the machineSpec field is set.
@@ -1353,11 +1353,11 @@ public boolean hasMachineSpec() {
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      *
      * @return The machineSpec.
@@ -1375,11 +1375,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec getMachineSpec() {
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder setMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec value) {
@@ -1399,11 +1399,11 @@ public Builder setMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec va
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder setMachineSpec(
@@ -1421,11 +1421,11 @@ public Builder setMachineSpec(
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec value) {
@@ -1449,11 +1449,11 @@ public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder clearMachineSpec() {
@@ -1471,11 +1471,11 @@ public Builder clearMachineSpec() {
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public com.google.cloud.aiplatform.v1beta1.MachineSpec.Builder getMachineSpecBuilder() {
@@ -1487,11 +1487,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec.Builder getMachineSpecBui
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
@@ -1507,11 +1507,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     private com.google.protobuf.SingleFieldBuilderV3<
@@ -1536,10 +1536,10 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * <pre>
-     * Required. The number of worker replicas to use for this worker pool.
+     * Optional. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
      *
      * @return The replicaCount.
      */
@@ -1551,10 +1551,10 @@ public long getReplicaCount() {
      *
      *
      * <pre>
-     * Required. The number of worker replicas to use for this worker pool.
+     * Optional. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
      *
      * @param value The replicaCount to set.
      * @return This builder for chaining.
@@ -1569,10 +1569,10 @@ public Builder setReplicaCount(long value) {
      *
      *
      * <pre>
-     * Required. The number of worker replicas to use for this worker pool.
+     * Optional. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
      *
      * @return This builder for chaining.
      */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
index 0d65828a9..5ec0c9b05 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
@@ -97,11 +97,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return Whether the machineSpec field is set.
@@ -111,11 +111,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return The machineSpec.
@@ -125,11 +125,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    */
   com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOrBuilder();
@@ -138,10 +138,10 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Required. The number of worker replicas to use for this worker pool.
+   * Optional. The number of worker replicas to use for this worker pool.
    * </pre>
    *
-   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
    *
    * @return The replicaCount.
    */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
index c4d0f45dd..c5904162b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
@@ -26,7 +26,7 @@
  * attributions to segmented regions, taking advantage of the model's fully
  * differentiable structure. Refer to this paper for more details:
  * https://arxiv.org/abs/1906.02825
- * Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
+ * Supported only by image Models.
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.XraiAttribution}
@@ -391,7 +391,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * attributions to segmented regions, taking advantage of the model's fully
    * differentiable structure. Refer to this paper for more details:
    * https://arxiv.org/abs/1906.02825
-   * Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
+   * Supported only by image Models.
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.XraiAttribution}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
index 0adbda7f2..f763df636 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/completion_stats.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
@@ -50,7 +51,7 @@ message BatchPredictionJob {
   message InputConfig {
     // Required. The source of the input.
     oneof source {
-      // The Google Cloud Storage location for the input instances.
+      // The Cloud Storage location for the input instances.
       GcsSource gcs_source = 2;
 
       // The BigQuery location of the input table.
@@ -73,7 +74,7 @@ message BatchPredictionJob {
   message OutputConfig {
     // Required. The destination of the output.
     oneof destination {
-      // The Google Cloud Storage location of the directory where the output is
+      // The Cloud Storage location of the directory where the output is
       // to be written to. In the given directory a new directory is created.
       // Its name is `prediction-<model-display-name>-<job-create-time>`,
       // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -129,7 +130,7 @@ message BatchPredictionJob {
   message OutputInfo {
     // The output location into which prediction output is written.
     oneof output_location {
-      // Output only. The full path of the Google Cloud Storage directory created, into which
+      // Output only. The full path of the Cloud Storage directory created, into which
       // the prediction output is written.
       string gcs_output_directory = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -192,29 +193,30 @@ message BatchPredictionJob {
   // the tuning itself).
   ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Generate explanation along with the batch prediction results.
+  // Generate explanation with the batch prediction results.
   //
-  // When it's true, the batch prediction output will change based on the
-  // [output format][BatchPredictionJob.output_config.predictions_format]:
+  // When set to `true`, the batch prediction output changes based on the
+  // `predictions_format` field of the
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
   //
-  //  * `bigquery`: output will include a column named `explanation`. The value
+  //  * `bigquery`: output includes a column named `explanation`. The value
   //    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-  //  * `jsonl`: The JSON objects on each line will include an additional entry
+  //  * `jsonl`: The JSON objects on each line include an additional entry
   //    keyed `explanation`. The value of the entry is a JSON object that
   //    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
   //  * `csv`: Generating explanations for CSV format is not supported.
+  //
+  // If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+  // populated.
   bool generate_explanation = 23;
 
-  // Explanation configuration for this BatchPredictionJob. Can only be
-  // specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-  // specified it with generate_explanation set to false or unset.
+  // Explanation configuration for this BatchPredictionJob. Can be
+  // specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
   //
   // This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-  // this Model is not allowed.
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+  // the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
   ExplanationSpec explanation_spec = 25;
 
   // Output only. Information further describing the output of this job.
@@ -266,4 +268,9 @@ message BatchPredictionJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 19;
+
+  // Customer-managed encryption key options for a BatchPredictionJob. If this
+  // is set, then all resources created by the BatchPredictionJob will be
+  // encrypted with the provided encryption key.
+  EncryptionSpec encryption_spec = 24;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
index 8fd3649a6..f50e56ed7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
@@ -82,6 +83,11 @@ message CustomJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 11;
+
+  // Customer-managed encryption key options for a CustomJob. If this is set,
+  // then all resources created by the CustomJob will be encrypted with the
+  // provided encryption key.
+  EncryptionSpec encryption_spec = 12;
 }
 
 // Represents the spec of a CustomJob.
@@ -94,39 +100,40 @@ message CustomJobSpec {
 
   // Specifies the service account for workload run-as account.
   // Users submitting jobs must have act-as permission on this run-as account.
+  // If unspecified, the AI Platform Custom Code Service Agent for the
+  // CustomJob's project is used.
   string service_account = 4;
 
   // The full name of the Compute Engine
   // [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-  // should be peered. For example, projects/12345/global/networks/myVPC.
-  //
-  // [Format](https:
-  // //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-  // is of the form projects/{project}/global/networks/{network}.
-  // Where {project} is a project number, as in '12345', and {network} is
+  // should be peered. For example, `projects/12345/global/networks/myVPC`.
+  // [Format](/compute/docs/reference/rest/v1/networks/insert)
+  // is of the form `projects/{project}/global/networks/{network}`.
+  // Where {project} is a project number, as in `12345`, and {network} is a
   // network name.
   //
   // Private services access must already be configured for the network. If left
   // unspecified, the job is not peered with any network.
   string network = 5;
 
-  // The Google Cloud Storage location to store the output of this CustomJob or
+  // The Cloud Storage location to store the output of this CustomJob or
   // HyperparameterTuningJob. For HyperparameterTuningJob,
-  // [base_output_directory][CustomJob.job_spec.base_output_directory] of
+  // the baseOutputDirectory of
   // each child CustomJob backing a Trial is set to a subdirectory of name
-  // [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-  //
-  // [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+  // [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+  // baseOutputDirectory.
   //
-  // Following AI Platform environment variables will be passed to containers or
-  // python modules when this field is set:
+  // The following AI Platform environment variables will be passed to
+  // containers or python modules when this field is set:
   //
   //   For CustomJob:
+  //
   //   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   //   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`
   //
   //   For CustomJob backing a Trial of HyperparameterTuningJob:
+  //
   //   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   //   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
@@ -144,14 +151,14 @@ message WorkerPoolSpec {
     PythonPackageSpec python_package_spec = 7;
   }
 
-  // Required. Immutable. The specification of a single machine.
+  // Optional. Immutable. The specification of a single machine.
   MachineSpec machine_spec = 1 [
-    (google.api.field_behavior) = REQUIRED,
+    (google.api.field_behavior) = OPTIONAL,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Required. The number of worker replicas to use for this worker pool.
-  int64 replica_count = 2 [(google.api.field_behavior) = REQUIRED];
+  // Optional. The number of worker replicas to use for this worker pool.
+  int64 replica_count = 2 [(google.api.field_behavior) = OPTIONAL];
 
   // Disk spec.
   DiskSpec disk_spec = 5;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
index 6d2410d9c..41a4cb5d7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/accelerator_type.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/specialist_pool.proto";
 import "google/protobuf/struct.proto";
@@ -126,13 +127,20 @@ message DataLabelingJob {
   // The SpecialistPools' resource names associated with this job.
   repeated string specialist_pools = 16;
 
-  // Paramaters that configure active learning pipeline. Active learning will
+  // Customer-managed encryption key spec for a DataLabelingJob. If set, this
+  // DataLabelingJob will be secured by this key.
+  //
+  // Note: Annotations created in the DataLabelingJob are associated with
+  // the EncryptionSpec of the Dataset they are exported to.
+  EncryptionSpec encryption_spec = 20;
+
+  // Parameters that configure active learning pipeline. Active learning will
   // label the data incrementally via several iterations. For every iteration,
   // it will select a batch of data based on the sampling strategy.
   ActiveLearningConfig active_learning_config = 21;
 }
 
-// Paramaters that configure active learning pipeline. Active learning will
+// Parameters that configure active learning pipeline. Active learning will
 //  label the data incrementally by several iterations. For every iteration, it
 //  will select a batch of data based on the sampling strategy.
 message ActiveLearningConfig {
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
index 26ba6c78b..6a7e46890 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
@@ -78,6 +79,10 @@ message Dataset {
   // * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
   //   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
   map<string, string> labels = 7;
+
+  // Customer-managed encryption key spec for a Dataset. If set, this Dataset
+  // and all sub-resources of this Dataset will be secured by this key.
+  EncryptionSpec encryption_spec = 11;
 }
 
 // Describes the location from where we import data into a Dataset, together
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
index 069f251b7..17e9eb89d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
@@ -181,9 +181,7 @@ message UpdateDatasetRequest {
 
   // Required. The update mask applies to the resource.
   // For the `FieldMask` definition, see
-  //
-  // [FieldMask](https:
-  // //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
   // Updatable fields:
   //
   //   * `display_name`
@@ -203,7 +201,19 @@ message ListDatasetsRequest {
     }
   ];
 
-  // The standard list filter.
+  // An expression for filtering the results of the request. For field names
+  // both snake_case and camelCase are supported.
+  //
+  //   * `display_name`: supports = and !=
+  //   * `metadata_schema_uri`: supports = and !=
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `displayName="myDisplayName"`
+  //   * `labels.myKey="myValue"`
   string filter = 2;
 
   // The standard list page size.
@@ -219,7 +229,7 @@ message ListDatasetsRequest {
   // Use "desc" after a field name for descending.
   // Supported fields:
   //   * `display_name`
-  //   * `data_item_count`   * `create_time`
+  //   * `create_time`
   //   * `update_time`
   string order_by = 6;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
new file mode 100644
index 000000000..b2d9f3f22
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1beta1;
+
+import "google/api/field_behavior.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "EncryptionSpecProto";
+option java_package = "com.google.cloud.aiplatform.v1beta1";
+
+// Represents a customer-managed encryption key spec that can be applied to
+// a top-level resource.
+message EncryptionSpec {
+  // Required. The Cloud KMS resource identifier of the customer managed encryption key
+  // used to protect a resource. Has the form:
+  // `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+  // The key needs to be in the same region as where the compute resource is
+  // created.
+  string kms_key_name = 1 [(google.api.field_behavior) = REQUIRED];
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
index 6138ff501..19f82c5f5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/protobuf/timestamp.proto";
@@ -80,6 +81,11 @@ message Endpoint {
 
   // Output only. Timestamp when this Endpoint was last updated.
   google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Customer-managed encryption key spec for an Endpoint. If set, this
+  // Endpoint and all sub-resources of this Endpoint will be secured by
+  // this key.
+  EncryptionSpec encryption_spec = 10;
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -141,7 +147,7 @@ message DeployedModel {
   // If true, the container of the DeployedModel instances will send `stderr`
   // and `stdout` streams to Stackdriver Logging.
   //
-  // Only supported for custom-trained Models and AutoML Tables Models.
+  // Only supported for custom-trained Models and AutoML Tabular Models.
   bool enable_container_logging = 12;
 
   // These logs are like standard server access logs, containing
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
index 87c673cc8..8d8284b6a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
@@ -161,18 +161,16 @@ message ListEndpointsRequest {
   // both snake_case and camelCase are supported.
   //
   //   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-  //     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-  //   * `display_name` supports =, != and regex()
-  //             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+  //     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+  //   * `display_name` supports = and, !=
   //   * `labels` supports general map functions that is:
-  //             `labels.key=value` - key:value equality
-  //             `labels.key:* or labels:key - key existence
-  //              A key including a space must be quoted. `labels."a key"`.
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
   //
   // Some examples:
   //   * `endpoint=1`
   //   * `displayName="myDisplayName"`
-  //   * `regex(display_name, "^A") -> The display name starts with an A.
   //   * `labels.myKey="myValue"`
   string filter = 2 [(google.api.field_behavior) = OPTIONAL];
 
@@ -205,6 +203,8 @@ message UpdateEndpointRequest {
   Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
+  // See
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
index c4e1874e5..2f96fc1bc 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
@@ -29,12 +29,12 @@ message EnvVar {
   // Required. Name of the environment variable. Must be a valid C identifier.
   string name = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Variables that reference a $(VAR_NAME) are expanded
+  // Required. Variables that reference a $(VAR_NAME) are expanded
   // using the previous defined environment variables in the container and
   // any service environment variables. If a variable cannot be resolved,
   // the reference in the input string will be unchanged. The $(VAR_NAME)
   // syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
   // references will never be expanded, regardless of whether the variable
   // exists or not.
-  string value = 2;
+  string value = 2 [(google.api.field_behavior) = REQUIRED];
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
index 9bc020786..a75ee628f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
@@ -48,7 +48,7 @@ message Explanation {
 
 // Aggregated explanation metrics for a Model over a set of instances.
 message ModelExplanation {
-  // Output only. Aggregated attributions explaning the Model's prediction outputs over the
+  // Output only. Aggregated attributions explaining the Model's prediction outputs over the
   // set of instances. The attributions are grouped by outputs.
   //
   // For Models that predict only one output, such as regression Models that
@@ -127,8 +127,8 @@ message Attribution {
   // of the output vector. Indices start from 0.
   repeated int32 output_index = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-  // predicted class name by a multi-classification Model.
+  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+  // the predicted class name by a multi-classification Model.
   //
   // This field is only populated iff the Model predicts display names as a
   // separate field along with the explained output. The predicted display name
@@ -139,22 +139,20 @@ message Attribution {
   // Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
   // explanation method. Lower value means more precise attributions.
   //
-  // * For [Sampled Shapley
-  // attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-  // [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-  // * For [Integrated Gradients
-  // attribution][ExplanationParameters.integrated_gradients_attribution],
-  // increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+  // * For Sampled Shapley
+  // [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+  // increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+  // the error.
+  // * For Integrated Gradients
+  // [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+  // increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
   // reduce the error.
-  // * For [XRAI
-  // attribution][ExplanationParameters.xrai_attribution], increasing
-  // [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
+  // * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+  // increasing
+  // [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
   //
-  // Refer to  AI Explanations Whitepaper for more details:
-  //
-  // https:
-  // //storage.googleapis.com/cloud-ai-whitep
-  // // apers/AI%20Explainability%20Whitepaper.pdf
+  // See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+  // for more information.
   double approximation_error = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Name of the explain output. Specified as the key in
@@ -204,7 +202,7 @@ message ExplanationParameters {
   int32 top_k = 4;
 
   // If populated, only returns attributions that have
-  // [output_index][Attributions.output_index] contained in output_indices. It
+  // [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
   // must be an ndarray of integers, with the same shape of the output it's
   // explaining.
   //
@@ -253,7 +251,7 @@ message IntegratedGradientsAttribution {
 // differentiable structure. Refer to this paper for more details:
 // https://arxiv.org/abs/1906.02825
 //
-// Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
+// Supported only by image Models.
 message XraiAttribution {
   // Required. The number of steps for approximating the path integral.
   // A good value to start is 50 and gradually increase until the
@@ -285,12 +283,9 @@ message SmoothGradConfig {
     // This is a single float value and will be used to add noise to all the
     // features. Use this field when all features are normalized to have the
     // same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-    // features are normalized to have 0-mean and 1-variance. Refer to
-    // this doc for more details about normalization:
-    //
-    // https:
-    // //developers.google.com/machine-learning
-    // // /data-prep/transform/normalization.
+    // features are normalized to have 0-mean and 1-variance. For more details
+    // about normalization:
+    // https://tinyurl.com/dgc-normalization.
     //
     // For best results the recommended value is about 10% - 20% of the standard
     // deviation of the input feature. Refer to section 3.2 of the SmoothGrad
@@ -338,3 +333,38 @@ message FeatureNoiseSigma {
   // Noise sigma per feature. No noise is added to features that are not set.
   repeated NoiseSigmaForFeature noise_sigma = 1;
 }
+
+// The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online
+// explanation][PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+message ExplanationSpecOverride {
+  // The parameters to be overridden. Note that the
+  // [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+  // no parameter is overridden.
+  ExplanationParameters parameters = 1;
+
+  // The metadata to be overridden. If not specified, no metadata is overridden.
+  ExplanationMetadataOverride metadata = 2;
+}
+
+// The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
+// [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+message ExplanationMetadataOverride {
+  // The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be
+  // overridden.
+  message InputMetadataOverride {
+    // Baseline inputs for this feature.
+    //
+    // This overrides the `input_baseline` field of the
+    // [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+    // object of the corresponding feature's input metadata. If it's not
+    // specified, the original baselines are not overridden.
+    repeated google.protobuf.Value input_baselines = 1;
+  }
+
+  // Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+  // The key is the name of the feature to be overridden. The keys specified
+  // here must exist in the input metadata to be overridden. If a feature is
+  // not specified here, the corresponding feature's input metadata is not
+  // overridden.
+  map<string, InputMetadataOverride> inputs = 1 [(google.api.field_behavior) = REQUIRED];
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
index eae647df6..985e4478c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
@@ -367,8 +367,8 @@ message ExplanationMetadata {
   // of the empty feature is chosen by AI Platform.
   //
   // For AI Platform provided Tensorflow images, the key can be any friendly
-  // name of the feature . Once specified, [
-  // featureAttributions][Attribution.feature_attributions] will be keyed by
+  // name of the feature. Once specified,
+  // [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
   // this key (if not grouped with another feature).
   //
   // For custom images, the key must match with the key in
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
index c8d8e5d3c..fc6181e95 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/custom_job.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/study.proto";
 import "google/protobuf/timestamp.proto";
@@ -99,4 +100,9 @@ message HyperparameterTuningJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 16;
+
+  // Customer-managed encryption key options for a HyperparameterTuningJob.
+  // If this is set, then all resources created by the HyperparameterTuningJob
+  // will be encrypted with the provided encryption key.
+  EncryptionSpec encryption_spec = 17;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
index 16f883db0..83e0f5dfe 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
@@ -51,10 +51,16 @@ message BigQuerySource {
 
 // The BigQuery location for the output content.
 message BigQueryDestination {
-  // Required. BigQuery URI to a project, up to 2000 characters long.
+  // Required. BigQuery URI to a project or table, up to 2000 characters long.
+  //
+  // When only project is specified, Dataset and Table is created.
+  // When full table reference is specified, Dataset must exist and table must
+  // not exist.
+  //
   // Accepted forms:
   //
-  // *  BigQuery path. For example: `bq://projectId`.
+  // *  BigQuery path. For example:
+  // `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
   string output_uri = 1 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
index b75456f57..01bf83e07 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
@@ -24,9 +24,11 @@ import "google/cloud/aiplatform/v1beta1/batch_prediction_job.proto";
 import "google/cloud/aiplatform/v1beta1/custom_job.proto";
 import "google/cloud/aiplatform/v1beta1/data_labeling_job.proto";
 import "google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto";
+import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/empty.proto";
 import "google/protobuf/field_mask.proto";
+import "google/protobuf/timestamp.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
index e0acfd6e8..3cb131c24 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
@@ -27,41 +27,13 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 
 // Specification of a single machine.
 message MachineSpec {
-  // Immutable. The type of the machine.
-  // Following machine types are supported:
+  // Immutable. The type of the machine. For the machine types supported for prediction,
+  // see https://tinyurl.com/aip-docs/predictions/machine-types.
+  // For machine types supported for creating a custom training job, see
+  // https://tinyurl.com/aip-docs/training/configure-compute.
   //
-  // * `n1-standard-2`
-  //
-  // * `n1-standard-4`
-  //
-  // * `n1-standard-8`
-  //
-  // * `n1-standard-16`
-  //
-  // * `n1-standard-32`
-  //
-  // * `n1-highmem-2`
-  //
-  // * `n1-highmem-4`
-  //
-  // * `n1-highmem-8`
-  //
-  // * `n1-highmem-16`
-  //
-  // * `n1-highmem-32`
-  //
-  // * `n1-highcpu-2`
-  //
-  // * `n1-highcpu-4`
-  //
-  // * `n1-highcpu-8`
-  //
-  // * `n1-highcpu-16`
-  //
-  // * `n1-highcpu-32`
-  //
-  // When used for [DeployedMode][] this field is optional and the default value
-  // is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+  // For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+  // value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
   // [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
   string machine_type = 1 [(google.api.field_behavior) = IMMUTABLE];
 
@@ -157,7 +129,7 @@ message ResourcesConsumed {
 
 // Represents the spec of disk options.
 message DiskSpec {
-  // Type of the boot disk (default is "pd-standard").
+  // Type of the boot disk (default is "pd-ssd").
   // Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
   // "pd-standard" (Persistent Disk Hard Disk Drive).
   string boot_disk_type = 1;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
index d0b0e9cf9..411105027 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
@@ -54,6 +54,7 @@ message MigratableResource {
     // The ml.googleapis.com endpoint that this model Version currently lives
     // in.
     // Example values:
+    //
     // * ml.googleapis.com
     // * us-centrall-ml.googleapis.com
     // * europe-west4-ml.googleapis.com
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
index 273eb9a26..e96f96e2f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
@@ -25,6 +25,7 @@ import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/migratable_resource.proto";
 import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
+import "google/rpc/status.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
@@ -83,6 +84,17 @@ message SearchMigratableResourcesRequest {
 
   // The standard page token.
   string page_token = 3;
+
+  // Supported filters are:
+  // * Resource type: For a specific type of MigratableResource.
+  //   * `ml_engine_model_version:*`
+  //   * `automl_model:*`,
+  //   * `automl_dataset:*`
+  //   * `data_labeling_dataset:*`.
+  // * Migrated or not: Filter migrated resource or not by last_migrate_time.
+  //   * `last_migrate_time:*` will filter migrated resources.
+  //   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+  string filter = 4;
 }
 
 // Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
@@ -265,6 +277,35 @@ message MigrateResourceResponse {
 
 // Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesOperationMetadata {
+  // Represents a partial result in batch migration opreation for one
+  // [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].
+  message PartialResult {
+    // If the resource's migration is ongoing, none of the result will be set.
+    // If the resource's migration is finished, either error or one of the
+    // migrated resource name will be filled.
+    oneof result {
+      // The error result of the migration request in case of failure.
+      google.rpc.Status error = 2;
+
+      // Migrated model resource name.
+      string model = 3 [(google.api.resource_reference) = {
+                          type: "aiplatform.googleapis.com/Model"
+                        }];
+
+      // Migrated dataset resource name.
+      string dataset = 4 [(google.api.resource_reference) = {
+                            type: "aiplatform.googleapis.com/Dataset"
+                          }];
+    }
+
+    // It's the same as the value in
+    // [MigrateResourceRequest.migrate_resource_requests][].
+    MigrateResourceRequest request = 1;
+  }
+
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
+
+  // Partial results that reflects the latest migration operation progress.
+  repeated PartialResult partial_results = 2;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
index 6e557a620..e69027e90 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
@@ -20,6 +20,7 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/dataset.proto";
 import "google/cloud/aiplatform/v1beta1/deployed_model_ref.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/protobuf/struct.proto";
@@ -196,6 +197,10 @@ message Model {
   // Each instance is a single row in BigQuery. Uses
   // [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
   //
+  // * `file-list`
+  // Each line of the file is the location of an instance to process, uses
+  // `gcs_source` field of the
+  // [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
@@ -248,18 +253,20 @@ message Model {
   // Model could have been deployed to Endpoints in different Locations.
   repeated DeployedModelRef deployed_models = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The default explanation specification for this Model.
+  // The default explanation specification for this Model.
   //
-  // Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-  // after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+  // The Model can be used for [requesting
+  // explanation][PredictionService.Explain] after being
+  // [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+  // The Model can be used for [batch
+  // explanation][BatchPredictionJob.generate_explanation] iff it is populated.
   //
   // All fields of the explanation_spec can be overridden by
   // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-  //
-  // This field is populated only for tabular AutoML Models.
-  // Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
-  ExplanationSpec explanation_spec = 23 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+  ExplanationSpec explanation_spec = 23;
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -273,6 +280,10 @@ message Model {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 17;
+
+  // Customer-managed encryption key spec for a Model. If set, this
+  // Model and all sub-resources of this Model will be secured by this key.
+  EncryptionSpec encryption_spec = 24;
 }
 
 // Contains the schemata used in Model's predictions and explanations via
@@ -469,9 +480,8 @@ message ModelContainerSpec {
   //
   // For example, if you set this field to `/foo`, then when AI Platform
   // receives a prediction request, it forwards the request body in a POST
-  // request to the following URL on the container:
-  // <code>localhost:<var>PORT</var>/foo</code>
-  // <var>PORT</var> refers to the first value of this `ModelContainerSpec`'s
+  // request to the `/foo` path on the port of your container specified by the
+  // first value of this `ModelContainerSpec`'s
   // [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
@@ -499,9 +509,8 @@ message ModelContainerSpec {
   // checks](https://tinyurl.com/cust-cont-reqs#checks).
   //
   // For example, if you set this field to `/bar`, then AI Platform
-  // intermittently sends a GET request to the following URL on the container:
-  // <code>localhost:<var>PORT</var>/bar</code>
-  // <var>PORT</var> refers to the first value of this `ModelContainerSpec`'s
+  // intermittently sends a GET request to the `/bar` path on the port of your
+  // container specified by the first value of this `ModelContainerSpec`'s
   // [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
index 282e8da2b..d91d4b181 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
@@ -36,6 +36,19 @@ message ModelEvaluation {
     pattern: "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}"
   };
 
+  message ModelEvaluationExplanationSpec {
+    // Explanation type.
+    //
+    // For AutoML Image Classification models, possible values are:
+    //
+    //   * `image-integrated-gradients`
+    //   * `image-xrai`
+    string explanation_type = 1;
+
+    // Explanation spec details.
+    ExplanationSpec explanation_spec = 2;
+  }
+
   // Output only. The resource name of the ModelEvaluation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -63,4 +76,8 @@ message ModelEvaluation {
   // is evaluated with explanations, and only for AutoML tabular Models.
   //
   ModelExplanation model_explanation = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+  // the predicted values on the evaluated data.
+  repeated ModelEvaluationExplanationSpec explanation_specs = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
index 5d7357b60..219ed2f90 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
@@ -191,7 +191,21 @@ message ListModelsRequest {
     }
   ];
 
-  // The standard list filter.
+  // An expression for filtering the results of the request. For field names
+  // both snake_case and camelCase are supported.
+  //
+  //   * `model` supports = and !=. `model` represents the Model ID,
+  //     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+  //   * `display_name` supports = and !=
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `model=1234`
+  //   * `displayName="myDisplayName"`
+  //   * `labels.myKey="myValue"`
   string filter = 2;
 
   // The standard list page size.
@@ -224,10 +238,7 @@ message UpdateModelRequest {
 
   // Required. The update mask applies to the resource.
   // For the `FieldMask` definition, see
-  //
-  // [FieldMask](https:
-  // //developers.google.com/protocol-buffers
-  // // /docs/reference/google.protobuf#fieldmask).
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
@@ -253,20 +264,20 @@ message ExportModelRequest {
     // supported formats is used by default.
     string export_format_id = 1;
 
-    // The Google Cloud Storage location where the Model artifact is to be
+    // The Cloud Storage location where the Model artifact is to be
     // written to. Under the directory given as the destination a new one with
     // name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
     // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
     // will be created. Inside, the Model and any of its supporting files
     // will be written.
-    // This field should only be set when
-    // [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+    // This field should only be set when the `exportableContent` field of the
+    // [Model.supported_export_formats] object contains `ARTIFACT`.
     GcsDestination artifact_destination = 3;
 
     // The Google Container Registry or Artifact Registry uri where the
     // Model container image will be copied to.
-    // This field should only be set when
-    // [Models.supported_export_formats.exportable_contents] contains IMAGE.
+    // This field should only be set when the `exportableContent` field of the
+    // [Model.supported_export_formats] object contains `IMAGE`.
     ContainerRegistryDestination image_destination = 4;
   }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
index d28f1e6f4..d20ed3899 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
@@ -133,6 +133,16 @@ message ExplainRequest {
   // [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 4;
 
+  // If specified, overrides the
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+  // Can be used for explaining prediction results with different
+  // configurations, such as:
+  //  - Explaining top-5 predictions results as opposed to top-1;
+  //  - Increasing path count or step count of the attribution methods to reduce
+  //    approximate errors;
+  //  - Using different baselines for explaining the prediction results.
+  ExplanationSpecOverride explanation_spec_override = 5;
+
   // If specified, this ExplainRequest will be served by the chosen
   // DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
   string deployed_model_id = 3;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
index 210c9eb7f..2d0a8f878 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
@@ -21,6 +21,7 @@ import "google/api/resource.proto";
 import "google/protobuf/duration.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
+import "google/protobuf/wrappers.proto";
 import "google/api/annotations.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
@@ -32,6 +33,11 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 // that has been or will be evaluated, along with the objective metrics got by
 // running the Trial.
 message Trial {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Trial"
+    pattern: "projects/{project}/locations/{location}/studies/{study}/trials/{trial}"
+  };
+
   // A message representing a parameter to be tuned.
   message Parameter {
     // Output only. The ID of the parameter. The parameter should be defined in
@@ -265,6 +271,48 @@ message StudySpec {
     RANDOM_SEARCH = 3;
   }
 
+  // Describes the noise level of the repeated observations.
+  //
+  // "Noisy" means that the repeated observations with the same Trial parameters
+  // may lead to different metric evaluations.
+  enum ObservationNoise {
+    // The default noise level chosen by the AI Platform service.
+    OBSERVATION_NOISE_UNSPECIFIED = 0;
+
+    // AI Platform Vizier assumes that the objective function is (nearly)
+    // perfectly reproducible, and will never repeat the same Trial
+    // parameters.
+    LOW = 1;
+
+    // AI Platform Vizier will estimate the amount of noise in metric
+    // evaluations, it may repeat the same Trial parameters more than once.
+    HIGH = 2;
+  }
+
+  // This indicates which measurement to use if/when the service automatically
+  // selects the final measurement from previously reported intermediate
+  // measurements. Choose this based on two considerations:
+  //  A) Do you expect your measurements to monotonically improve?
+  //     If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
+  //     situation where your system can "over-train" and you expect the
+  //     performance to get better for a while but then start declining,
+  //     choose BEST_MEASUREMENT.
+  //  B) Are your measurements significantly noisy and/or irreproducible?
+  //     If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
+  //     may be better to choose LAST_MEASUREMENT.
+  //  If both or neither of (A) and (B) apply, it doesn't matter which
+  //  selection type is chosen.
+  enum MeasurementSelectionType {
+    // Will be treated as LAST_MEASUREMENT.
+    MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;
+
+    // Use the last measurement reported.
+    LAST_MEASUREMENT = 1;
+
+    // Use the best measurement reported.
+    BEST_MEASUREMENT = 2;
+  }
+
   // Required. Metric specs for the Study.
   repeated MetricSpec metrics = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -273,6 +321,14 @@ message StudySpec {
 
   // The search algorithm specified for the Study.
   Algorithm algorithm = 3;
+
+  // The observation noise level of the study.
+  // Currently only supported by the Vizier service. Not supported by
+  // HyperparamterTuningJob or TrainingPipeline.
+  ObservationNoise observation_noise = 6;
+
+  // Describe which measurement selection type will be used
+  MeasurementSelectionType measurement_selection_type = 7;
 }
 
 // A message representing a Measurement of a Trial. A Measurement contains
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
index 26fbd287f..26568518e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto";
@@ -79,7 +80,7 @@ message TrainingPipeline {
   // pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
   google.protobuf.Value training_task_metadata = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+  // Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
   // by this TrainingPipeline. The TrainingPipeline's
   // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
   // description should be populated, and if there are any special requirements
@@ -125,6 +126,13 @@ message TrainingPipeline {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 15;
+
+  // Customer-managed encryption key spec for a TrainingPipeline. If set, this
+  // TrainingPipeline will be secured by this key.
+  //
+  // Note: Model trained by this TrainingPipeline is also secured by this key if
+  // [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+  EncryptionSpec encryption_spec = 18;
 }
 
 // Specifies AI Platform owned input data to be used for training, and
@@ -159,7 +167,7 @@ message InputDataConfig {
   //   * For non-tabular data: "jsonl".
   //   * For tabular data: "csv" and "bigquery".
   //
-  // Following AI Platform environment variables will be passed to containers
+  // The following AI Platform environment variables are passed to containers
   // or python modules of the training task when this field is set:
   //
   // * AIP_DATA_FORMAT : Exported data format.
@@ -167,43 +175,50 @@ message InputDataConfig {
   // * AIP_VALIDATION_DATA_URI : Sharded exported validation data uris.
   // * AIP_TEST_DATA_URI : Sharded exported test data uris.
   oneof destination {
-    // The Google Cloud Storage location where the training data is to be
-    // written to. In the given directory a new directory will be created with
+    // The Cloud Storage location where the training data is to be
+    // written to. In the given directory a new directory is created with
     // name:
     // `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
     // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-    // All training input data will be written into that directory.
+    // All training input data is written into that directory.
     //
-    // The AI Platform environment variables representing Google Cloud Storage
-    // data URIs will always be represented in the Google Cloud Storage wildcard
+    // The AI Platform environment variables representing Cloud Storage
+    // data URIs are represented in the Cloud Storage wildcard
     // format to support sharded data. e.g.: "gs://.../training-*.jsonl"
     //
     // * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-    // * AIP_TRAINING_DATA_URI  =
+    // * AIP_TRAINING_DATA_URI =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
+    //
     // * AIP_VALIDATION_DATA_URI =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
+    //
     // * AIP_TEST_DATA_URI =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
     GcsDestination gcs_destination = 8;
 
+    // Only applicable to custom training with tabular Dataset with BigQuery
+    // source.
+    //
     // The BigQuery project location where the training data is to be written
     // to. In the given project a new dataset is created with name
     // `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
     // where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-    // input data will be written into that dataset. In the dataset three
-    // tables will be created, `training`, `validation` and `test`.
+    // input data is written into that dataset. In the dataset three
+    // tables are created, `training`, `validation` and `test`.
     //
     // * AIP_DATA_FORMAT = "bigquery".
     // * AIP_TRAINING_DATA_URI  =
     //
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
+    //
     // * AIP_VALIDATION_DATA_URI =
     //
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
+    //
     // * AIP_TEST_DATA_URI =
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
     BigQueryDestination bigquery_destination = 10;
@@ -218,7 +233,7 @@ message InputDataConfig {
   // and choose from.
   string dataset_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Only applicable to Datasets that have DataItems and Annotations.
+  // Applicable only to Datasets that have DataItems and Annotations.
   //
   // A filter on Annotations of the Dataset. Only Annotations that both
   // match this filter and belong to DataItems not ignored by the split method
@@ -230,16 +245,14 @@ message InputDataConfig {
   // a single DataItem.
   string annotations_filter = 6;
 
-  // Only applicable to custom training.
-  //
-  // Google Cloud Storage URI points to a YAML file describing annotation
-  // schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+  // Applicable only to custom training with Datasets that have DataItems and
+  // Annotations.
   //
-  // https:
-  // //github.com/OAI/OpenAPI-Specification/b
-  // // lob/master/versions/3.0.2.md#schema-object)
+  // Cloud Storage URI that points to a YAML file describing the annotation
+  // schema. The schema is defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
   // The schema files that can be used here are found in
-  // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+  // gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
   // chosen schema must be consistent with
   // [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
   // [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -259,7 +272,7 @@ message InputDataConfig {
 // `test_fraction` may optionally be provided, they must sum to up to 1. If the
 // provided ones sum to less than 1, the remainder is assigned to sets as
 // decided by AI Platform. If none of the fractions are set, by default roughly
-// 80% of data will be used for training, 10% for validation, and 10% for test.
+// 80% of data is used for training, 10% for validation, and 10% for test.
 message FractionSplit {
   // The fraction of the input data that is to be used to train the Model.
   double training_fraction = 1;
@@ -276,12 +289,15 @@ message FractionSplit {
 // supported for Datasets containing DataItems.
 // If any of the filters in this message are to match nothing, then they can be
 // set as '-' (the minus sign).
+//
+// Supported only for unstructured Datasets.
+//
 message FilterSplit {
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to train the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it will be assigned to the first set that applies to it in the
+  // then it is assigned to the first set that applies to it in the
   // training, validation, test order.
   string training_filter = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -289,7 +305,7 @@ message FilterSplit {
   // this filter are used to validate the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it will be assigned to the first set that applies to it in the
+  // then it is assigned to the first set that applies to it in the
   // training, validation, test order.
   string validation_filter = 2 [(google.api.field_behavior) = REQUIRED];
 
@@ -297,7 +313,7 @@ message FilterSplit {
   // this filter are used to test the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it will be assigned to the first set that applies to it in the
+  // then it is assigned to the first set that applies to it in the
   // training, validation, test order.
   string test_filter = 3 [(google.api.field_behavior) = REQUIRED];
 }
diff --git a/synth.metadata b/synth.metadata
index 3b76567d4..a7cded8ce 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -307,6 +307,9 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelRefOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointName.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java",
@@ -322,6 +325,8 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Explanation.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java",
@@ -329,6 +334,8 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpec.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOrBuilder.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataConfig.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataConfigOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataOperationMetadata.java",
@@ -533,6 +540,7 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Trial.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadata.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadataOrBuilder.java",
@@ -721,6 +729,7 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployed_model_ref.proto",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto",

From c49ac8463d342c141cf59af5c19f1ef7f28fd8a5 Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Thu, 18 Feb 2021 21:08:09 +0100
Subject: [PATCH 24/36] deps: update dependency
 com.google.cloud:google-cloud-storage to v1.113.10 (#164)

---
 samples/install-without-bom/pom.xml | 2 +-
 samples/snapshot/pom.xml            | 2 +-
 samples/snippets/pom.xml            | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/samples/install-without-bom/pom.xml b/samples/install-without-bom/pom.xml
index 67c100d5b..119ac0a66 100644
--- a/samples/install-without-bom/pom.xml
+++ b/samples/install-without-bom/pom.xml
@@ -35,7 +35,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.9</version>
+      <version>1.113.10</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>
diff --git a/samples/snapshot/pom.xml b/samples/snapshot/pom.xml
index 07a80446d..7891241b3 100644
--- a/samples/snapshot/pom.xml
+++ b/samples/snapshot/pom.xml
@@ -34,7 +34,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.9</version>
+      <version>1.113.10</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>
diff --git a/samples/snippets/pom.xml b/samples/snippets/pom.xml
index f22faca41..8f8ef4037 100644
--- a/samples/snippets/pom.xml
+++ b/samples/snippets/pom.xml
@@ -33,7 +33,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.9</version>
+      <version>1.113.10</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>

From 8d4939d8c427b84d0857a7ac91fc8002b6122526 Mon Sep 17 00:00:00 2001
From: Neenu Shaji <Neenu1995@users.noreply.github.com>
Date: Fri, 19 Feb 2021 14:12:15 -0500
Subject: [PATCH 25/36] chore: generalize clirr ignored differences (#165)

---
 .../clirr-ignored-differences.xml             | 327 +-----------------
 1 file changed, 4 insertions(+), 323 deletions(-)

diff --git a/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml b/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
index c3da7444b..5b665eabc 100644
--- a/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
+++ b/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
@@ -4,335 +4,16 @@
 <differences>
   <difference>
     <className>
-      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+      com/google/cloud/aiplatform/v1beta1/*OrBuilder
     </className>
     <differenceType>7012</differenceType>
-    <method>* getPartialResults(*)</method>
+    <method>* get*(*)</method>
   </difference>
-
   <difference>
     <className>
-      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+      com/google/cloud/aiplatform/v1beta1/*OrBuilder
     </className>
     <differenceType>7012</differenceType>
-    <method>* getPartialResultsCount()</method>
+    <method>* has*()</method>
   </difference>
-
-  <difference>
-    <className>
-      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getPartialResultsList()</method>
-  </difference>
-
-  <difference>
-    <className>
-      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getPartialResultsOrBuilder(*)</method>
-  </difference>
-
-  <difference>
-    <className>
-      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getPartialResultsOrBuilderList()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpec()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpecOrBuilder()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* hasEncryptionSpec()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpec()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpecOrBuilder()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* hasEncryptionSpec()</method>
-  </difference>
-
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-
-  <difference>
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-    <differenceType>7012</differenceType>
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-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpec()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpecOrBuilder()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* hasEncryptionSpec()</method>
-  </difference>
-
-  <difference>
-    <className>
-      com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpec()</method>
-  </difference>
-
-  <difference>
-    <className>
-      com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpecOrBuilder()</method>
-  </difference>
-
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-    <differenceType>7012</differenceType>
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-  </difference>
-
-  <difference>
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-    </className>
-    <differenceType>7012</differenceType>
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-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getExplanationSpecsCount()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
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-    <differenceType>7012</differenceType>
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-  <difference>
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-    <differenceType>7012</differenceType>
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-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getExplanationSpecsOrBuilderList()</method>
-  </difference>
-
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-    <differenceType>7012</differenceType>
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-
-
-  <difference>
-    <className>
-      com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getFilter()</method>
-  </difference>
-
-  <difference>
-    <className>
-      com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getFilterBytes()</method>
-  </difference>
-
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getMeasurementSelectionType()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getMeasurementSelectionTypeValue()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getObservationNoise()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getObservationNoiseValue()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpec()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getEncryptionSpecOrBuilder()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* hasEncryptionSpec()</method>
-  </difference>
-
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getExplanationSpecOverride()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getExplanationSpecOverrideOrBuilder()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* hasExplanationSpecOverride()</method>
-  </difference>
-
-  <difference>
-    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
-    </className>
-    <differenceType>7012</differenceType>
-    <method>* getExplanationSpecs(*)</method>
-  </difference>
-
 </differences>

From 871e9761e560b2220d9e3611f48d58c0091b966e Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Fri, 19 Feb 2021 22:50:09 +0100
Subject: [PATCH 26/36] deps: update dependency
 com.google.cloud:google-cloud-shared-dependencies to v0.19.0 (#172)

[![WhiteSource Renovate](https://app.renovatebot.com/images/banner.svg)](https://renovatebot.com)

This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [com.google.cloud:google-cloud-shared-dependencies](https://togithub.com/googleapis/java-shared-dependencies) | `0.18.0` -> `0.19.0` | [![age](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-dependencies/0.19.0/age-slim)](https://docs.renovatebot.com/merge-confidence/) | [![adoption](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-dependencies/0.19.0/adoption-slim)](https://docs.renovatebot.com/merge-confidence/) | [![passing](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-dependencies/0.19.0/compatibility-slim/0.18.0)](https://docs.renovatebot.com/merge-confidence/) | [![confidence](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-dependencies/0.19.0/confidence-slim/0.18.0)](https://docs.renovatebot.com/merge-confidence/) |

---

### Release Notes

<details>
<summary>googleapis/java-shared-dependencies</summary>

### [`v0.19.0`](https://togithub.com/googleapis/java-shared-dependencies/blob/master/CHANGELOG.md#&#8203;0190-httpswwwgithubcomgoogleapisjava-shared-dependenciescompare0180v0190-2021-02-19)

[Compare Source](https://togithub.com/googleapis/java-shared-dependencies/compare/v0.18.0...v0.19.0)

##### Bug Fixes

-   update repo name ([#&#8203;274](https://www.github.com/googleapis/java-shared-dependencies/issues/274)) ([4a98470](https://www.github.com/googleapis/java-shared-dependencies/commit/4a98470b7493c98137191b7bb3cabca23f98628f))

##### Dependencies

-   downgrade opencensus version back to 0.28.0 ([#&#8203;265](https://www.github.com/googleapis/java-shared-dependencies/issues/265)) ([f37025c](https://www.github.com/googleapis/java-shared-dependencies/commit/f37025c70f951b1e34904ee983815c0ed8ec4086))
-   update dependency com.google.api-client:google-api-client-bom to v1.31.2 ([#&#8203;254](https://www.github.com/googleapis/java-shared-dependencies/issues/254)) ([1b0b4a6](https://www.github.com/googleapis/java-shared-dependencies/commit/1b0b4a637cae0c22cd0336c527002025780317d5))
-   update dependency com.google.auth:google-auth-library-bom to v0.23.0 ([#&#8203;261](https://www.github.com/googleapis/java-shared-dependencies/issues/261)) ([1c0b7bd](https://www.github.com/googleapis/java-shared-dependencies/commit/1c0b7bd60b3d73c16cc6c19ab90d8ccedece3706))
-   update dependency com.google.cloud:google-cloud-core to v1.94.1 ([#&#8203;272](https://www.github.com/googleapis/java-shared-dependencies/issues/272)) ([44fd4c3](https://www.github.com/googleapis/java-shared-dependencies/commit/44fd4c3c6cae98bd514525f03462b830050828a8))
-   update dependency com.google.errorprone:error_prone_annotations to v2.5.1 ([#&#8203;255](https://www.github.com/googleapis/java-shared-dependencies/issues/255)) ([6367023](https://www.github.com/googleapis/java-shared-dependencies/commit/63670233424e8f24c3924bba5e2cb6ca97525795))
-   update dependency com.google.http-client:google-http-client-bom to v1.38.1 ([#&#8203;253](https://www.github.com/googleapis/java-shared-dependencies/issues/253)) ([ad87c74](https://www.github.com/googleapis/java-shared-dependencies/commit/ad87c74d9d893726042156d65850806d92e79952))
-   update dependency com.google.protobuf:protobuf-bom to v3.15.0 ([#&#8203;278](https://www.github.com/googleapis/java-shared-dependencies/issues/278)) ([989efbd](https://www.github.com/googleapis/java-shared-dependencies/commit/989efbd29bcf4135f7abce49a697303df2cf1a60))
-   update dependency io.grpc:grpc-bom to v1.35.0 ([#&#8203;248](https://www.github.com/googleapis/java-shared-dependencies/issues/248)) ([7a28c6e](https://www.github.com/googleapis/java-shared-dependencies/commit/7a28c6e7053c181993b1288adcae56de89312113))
-   update gax.version to v1.61.0 ([#&#8203;277](https://www.github.com/googleapis/java-shared-dependencies/issues/277)) ([f1c3fb9](https://www.github.com/googleapis/java-shared-dependencies/commit/f1c3fb9295f2e1c130b9fc329faa60f4f8474ba6))
-   update iam.version to v1.0.7 ([#&#8203;252](https://www.github.com/googleapis/java-shared-dependencies/issues/252)) ([5cb3ed9](https://www.github.com/googleapis/java-shared-dependencies/commit/5cb3ed906537269cd7f8d9ccf4b065754b5f5b48))
-   update iam.version to v1.0.8 ([#&#8203;273](https://www.github.com/googleapis/java-shared-dependencies/issues/273)) ([4d5e7f7](https://www.github.com/googleapis/java-shared-dependencies/commit/4d5e7f720d847918b307a83c95cea10c244ba595))

</details>

---

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:recycle: **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

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This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/java-aiplatform).
---
 pom.xml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pom.xml b/pom.xml
index 8ca412d95..a4cd1ef96 100644
--- a/pom.xml
+++ b/pom.xml
@@ -86,7 +86,7 @@
       <dependency>
         <groupId>com.google.cloud</groupId>
         <artifactId>google-cloud-shared-dependencies</artifactId>
-        <version>0.18.0</version>
+        <version>0.19.0</version>
         <type>pom</type>
         <scope>import</scope>
       </dependency>

From 587b2fab293ca50fe42512569cf35997f9099269 Mon Sep 17 00:00:00 2001
From: Eric Schmidt <erschmid@google.com>
Date: Tue, 23 Feb 2021 13:05:59 -0800
Subject: [PATCH 27/36] feat: updates library for v1 service (#157)

* feat: updates library for v1 service

* chore: updates to pom.xml files;

* fix: adds sub project pom.xml files

* Update versions
---
 google-cloud-aiplatform-bom/pom.xml           |    10 +
 google-cloud-aiplatform/pom.xml               |     9 +
 .../aiplatform/v1/DatasetServiceClient.java   |  1015 ++
 .../aiplatform/v1/DatasetServiceSettings.java |   342 +
 .../aiplatform/v1/EndpointServiceClient.java  |   739 +
 .../v1/EndpointServiceSettings.java           |   304 +
 .../cloud/aiplatform/v1/JobServiceClient.java |  1828 ++
 .../aiplatform/v1/JobServiceSettings.java     |   482 +
 .../aiplatform/v1/MigrationServiceClient.java |   455 +
 .../v1/MigrationServiceSettings.java          |   226 +
 .../aiplatform/v1/ModelServiceClient.java     |  1051 ++
 .../aiplatform/v1/ModelServiceSettings.java   |   341 +
 .../aiplatform/v1/PipelineServiceClient.java  |   614 +
 .../v1/PipelineServiceSettings.java           |   257 +
 .../v1/PredictionServiceClient.java           |   252 +
 .../v1/PredictionServiceSettings.java         |   182 +
 .../v1/SpecialistPoolServiceClient.java       |   591 +
 .../v1/SpecialistPoolServiceSettings.java     |   284 +
 .../cloud/aiplatform/v1/package-info.java     |    72 +
 .../v1/stub/DatasetServiceStub.java           |   141 +
 .../v1/stub/DatasetServiceStubSettings.java   |   870 +
 .../v1/stub/EndpointServiceStub.java          |   113 +
 .../v1/stub/EndpointServiceStubSettings.java  |   673 +
 .../GrpcDatasetServiceCallableFactory.java    |   113 +
 .../v1/stub/GrpcDatasetServiceStub.java       |   548 +
 .../GrpcEndpointServiceCallableFactory.java   |   113 +
 .../v1/stub/GrpcEndpointServiceStub.java      |   426 +
 .../stub/GrpcJobServiceCallableFactory.java   |   113 +
 .../v1/stub/GrpcJobServiceStub.java           |   980 +
 .../GrpcMigrationServiceCallableFactory.java  |   113 +
 .../v1/stub/GrpcMigrationServiceStub.java     |   245 +
 .../stub/GrpcModelServiceCallableFactory.java |   113 +
 .../v1/stub/GrpcModelServiceStub.java         |   552 +
 .../GrpcPipelineServiceCallableFactory.java   |   113 +
 .../v1/stub/GrpcPipelineServiceStub.java      |   345 +
 .../GrpcPredictionServiceCallableFactory.java |   113 +
 .../v1/stub/GrpcPredictionServiceStub.java    |   158 +
 ...cSpecialistPoolServiceCallableFactory.java |   113 +
 .../stub/GrpcSpecialistPoolServiceStub.java   |   373 +
 .../aiplatform/v1/stub/JobServiceStub.java    |   218 +
 .../v1/stub/JobServiceStubSettings.java       |  1306 ++
 .../v1/stub/MigrationServiceStub.java         |    72 +
 .../v1/stub/MigrationServiceStubSettings.java |   452 +
 .../aiplatform/v1/stub/ModelServiceStub.java  |   140 +
 .../v1/stub/ModelServiceStubSettings.java     |   873 +
 .../v1/stub/PipelineServiceStub.java          |    86 +
 .../v1/stub/PipelineServiceStubSettings.java  |   512 +
 .../v1/stub/PredictionServiceStub.java        |    40 +
 .../stub/PredictionServiceStubSettings.java   |   255 +
 .../v1/stub/SpecialistPoolServiceStub.java    |   100 +
 .../SpecialistPoolServiceStubSettings.java    |   610 +
 .../v1/DatasetServiceClientTest.java          |   971 +
 .../v1/EndpointServiceClientTest.java         |   728 +
 .../aiplatform/v1/JobServiceClientTest.java   |  1992 +++
 .../v1/MigrationServiceClientTest.java        |   279 +
 .../aiplatform/v1/MockDatasetService.java     |    59 +
 .../aiplatform/v1/MockDatasetServiceImpl.java |   208 +
 .../aiplatform/v1/MockEndpointService.java    |    59 +
 .../v1/MockEndpointServiceImpl.java           |   164 +
 .../cloud/aiplatform/v1/MockJobService.java   |    59 +
 .../aiplatform/v1/MockJobServiceImpl.java     |   368 +
 .../aiplatform/v1/MockMigrationService.java   |    59 +
 .../v1/MockMigrationServiceImpl.java          |    92 +
 .../cloud/aiplatform/v1/MockModelService.java |    59 +
 .../aiplatform/v1/MockModelServiceImpl.java   |   209 +
 .../aiplatform/v1/MockPipelineService.java    |    59 +
 .../v1/MockPipelineServiceImpl.java           |   138 +
 .../aiplatform/v1/MockPredictionService.java  |    59 +
 .../v1/MockPredictionServiceImpl.java         |    74 +
 .../v1/MockSpecialistPoolService.java         |    59 +
 .../v1/MockSpecialistPoolServiceImpl.java     |   137 +
 .../aiplatform/v1/ModelServiceClientTest.java |  1005 ++
 .../v1/PipelineServiceClientTest.java         |   561 +
 .../v1/PredictionServiceClientTest.java       |   169 +
 .../v1/SpecialistPoolServiceClientTest.java   |   516 +
 grpc-google-cloud-aiplatform-v1/pom.xml       |    69 +
 .../aiplatform/v1/DatasetServiceGrpc.java     |  1351 ++
 .../aiplatform/v1/EndpointServiceGrpc.java    |  1009 ++
 .../cloud/aiplatform/v1/JobServiceGrpc.java   |  2749 +++
 .../aiplatform/v1/MigrationServiceGrpc.java   |   510 +
 .../cloud/aiplatform/v1/ModelServiceGrpc.java |  1414 ++
 .../aiplatform/v1/PipelineServiceGrpc.java    |   887 +
 .../aiplatform/v1/PredictionServiceGrpc.java  |   360 +
 .../v1/SpecialistPoolServiceGrpc.java         |   873 +
 pom.xml                                       |    17 +-
 proto-google-cloud-aiplatform-v1/pom.xml      |    42 +
 .../cloud/aiplatform/v1/AcceleratorType.java  |   288 +
 .../aiplatform/v1/AcceleratorTypeProto.java   |    60 +
 .../aiplatform/v1/ActiveLearningConfig.java   |  1339 ++
 .../v1/ActiveLearningConfigOrBuilder.java     |   133 +
 .../aiplatform/v1/AnnotatedDatasetName.java   |   227 +
 .../cloud/aiplatform/v1/Annotation.java       |  2690 +++
 .../cloud/aiplatform/v1/AnnotationName.java   |   298 +
 .../aiplatform/v1/AnnotationOrBuilder.java    |   393 +
 .../cloud/aiplatform/v1/AnnotationProto.java  |   123 +
 .../cloud/aiplatform/v1/AnnotationSpec.java   |  1599 ++
 .../aiplatform/v1/AnnotationSpecName.java     |   269 +
 .../v1/AnnotationSpecOrBuilder.java           |   182 +
 .../aiplatform/v1/AnnotationSpecProto.java    |    91 +
 .../aiplatform/v1/AutomaticResources.java     |   688 +
 .../v1/AutomaticResourcesOrBuilder.java       |    63 +
 .../v1/BatchDedicatedResources.java           |   953 +
 .../v1/BatchDedicatedResourcesOrBuilder.java  |    95 +
 ...atchMigrateResourcesOperationMetadata.java |  3059 ++++
 ...teResourcesOperationMetadataOrBuilder.java |   129 +
 .../v1/BatchMigrateResourcesRequest.java      |  1270 ++
 ...BatchMigrateResourcesRequestOrBuilder.java |   130 +
 .../v1/BatchMigrateResourcesResponse.java     |  1028 ++
 ...atchMigrateResourcesResponseOrBuilder.java |    89 +
 .../aiplatform/v1/BatchPredictionJob.java     | 11152 ++++++++++++
 .../aiplatform/v1/BatchPredictionJobName.java |   231 +
 .../v1/BatchPredictionJobOrBuilder.java       |   916 +
 .../v1/BatchPredictionJobProto.java           |   234 +
 .../aiplatform/v1/BigQueryDestination.java    |   678 +
 .../v1/BigQueryDestinationOrBuilder.java      |    62 +
 .../cloud/aiplatform/v1/BigQuerySource.java   |   648 +
 .../v1/BigQuerySourceOrBuilder.java           |    54 +
 .../v1/CancelBatchPredictionJobRequest.java   |   672 +
 ...celBatchPredictionJobRequestOrBuilder.java |    58 +
 .../aiplatform/v1/CancelCustomJobRequest.java |   665 +
 .../v1/CancelCustomJobRequestOrBuilder.java   |    58 +
 .../v1/CancelDataLabelingJobRequest.java      |   665 +
 ...CancelDataLabelingJobRequestOrBuilder.java |    58 +
 .../CancelHyperparameterTuningJobRequest.java |   678 +
 ...perparameterTuningJobRequestOrBuilder.java |    58 +
 .../v1/CancelTrainingPipelineRequest.java     |   668 +
 ...ancelTrainingPipelineRequestOrBuilder.java |    58 +
 .../cloud/aiplatform/v1/CompletionStats.java  |   742 +
 .../v1/CompletionStatsOrBuilder.java          |    68 +
 .../aiplatform/v1/CompletionStatsProto.java   |    82 +
 .../v1/ContainerRegistryDestination.java      |   686 +
 ...ContainerRegistryDestinationOrBuilder.java |    64 +
 .../cloud/aiplatform/v1/ContainerSpec.java    |  1697 ++
 .../aiplatform/v1/ContainerSpecOrBuilder.java |   209 +
 .../v1/CreateBatchPredictionJobRequest.java   |   972 +
 ...ateBatchPredictionJobRequestOrBuilder.java |    97 +
 .../aiplatform/v1/CreateCustomJobRequest.java |   959 +
 .../v1/CreateCustomJobRequestOrBuilder.java   |    97 +
 .../v1/CreateDataLabelingJobRequest.java      |   960 +
 ...CreateDataLabelingJobRequestOrBuilder.java |    97 +
 .../v1/CreateDatasetOperationMetadata.java    |   746 +
 ...eateDatasetOperationMetadataOrBuilder.java |    60 +
 .../aiplatform/v1/CreateDatasetRequest.java   |   958 +
 .../v1/CreateDatasetRequestOrBuilder.java     |    97 +
 .../v1/CreateEndpointOperationMetadata.java   |   748 +
 ...ateEndpointOperationMetadataOrBuilder.java |    60 +
 .../aiplatform/v1/CreateEndpointRequest.java  |   958 +
 .../v1/CreateEndpointRequestOrBuilder.java    |    97 +
 .../CreateHyperparameterTuningJobRequest.java |   981 +
 ...perparameterTuningJobRequestOrBuilder.java |    98 +
 ...CreateSpecialistPoolOperationMetadata.java |   756 +
 ...cialistPoolOperationMetadataOrBuilder.java |    60 +
 .../v1/CreateSpecialistPoolRequest.java       |   960 +
 .../CreateSpecialistPoolRequestOrBuilder.java |    97 +
 .../v1/CreateTrainingPipelineRequest.java     |   963 +
 ...reateTrainingPipelineRequestOrBuilder.java |    97 +
 .../google/cloud/aiplatform/v1/CustomJob.java |  3411 ++++
 .../cloud/aiplatform/v1/CustomJobName.java    |   223 +
 .../aiplatform/v1/CustomJobOrBuilder.java     |   460 +
 .../cloud/aiplatform/v1/CustomJobProto.java   |   234 +
 .../cloud/aiplatform/v1/CustomJobSpec.java    |  2178 +++
 .../aiplatform/v1/CustomJobSpecOrBuilder.java |   274 +
 .../google/cloud/aiplatform/v1/DataItem.java  |  2109 +++
 .../cloud/aiplatform/v1/DataItemName.java     |   259 +
 .../aiplatform/v1/DataItemOrBuilder.java      |   288 +
 .../cloud/aiplatform/v1/DataItemProto.java    |   108 +
 .../cloud/aiplatform/v1/DataLabelingJob.java  |  5022 ++++++
 .../aiplatform/v1/DataLabelingJobName.java    |   227 +
 .../v1/DataLabelingJobOrBuilder.java          |   775 +
 .../aiplatform/v1/DataLabelingJobProto.java   |   237 +
 .../google/cloud/aiplatform/v1/Dataset.java   |  2796 +++
 .../cloud/aiplatform/v1/DatasetName.java      |   223 +
 .../cloud/aiplatform/v1/DatasetOrBuilder.java |   392 +
 .../cloud/aiplatform/v1/DatasetProto.java     |   173 +
 .../aiplatform/v1/DatasetServiceProto.java    |   426 +
 .../aiplatform/v1/DedicatedResources.java     |  1000 ++
 .../v1/DedicatedResourcesOrBuilder.java       |   107 +
 .../v1/DeleteBatchPredictionJobRequest.java   |   672 +
 ...eteBatchPredictionJobRequestOrBuilder.java |    58 +
 .../aiplatform/v1/DeleteCustomJobRequest.java |   665 +
 .../v1/DeleteCustomJobRequestOrBuilder.java   |    58 +
 .../v1/DeleteDataLabelingJobRequest.java      |   665 +
 ...DeleteDataLabelingJobRequestOrBuilder.java |    58 +
 .../aiplatform/v1/DeleteDatasetRequest.java   |   664 +
 .../v1/DeleteDatasetRequestOrBuilder.java     |    58 +
 .../aiplatform/v1/DeleteEndpointRequest.java  |   664 +
 .../v1/DeleteEndpointRequestOrBuilder.java    |    58 +
 .../DeleteHyperparameterTuningJobRequest.java |   678 +
 ...perparameterTuningJobRequestOrBuilder.java |    58 +
 .../aiplatform/v1/DeleteModelRequest.java     |   657 +
 .../v1/DeleteModelRequestOrBuilder.java       |    56 +
 .../v1/DeleteOperationMetadata.java           |   741 +
 .../v1/DeleteOperationMetadataOrBuilder.java  |    60 +
 .../v1/DeleteSpecialistPoolRequest.java       |   756 +
 .../DeleteSpecialistPoolRequestOrBuilder.java |    71 +
 .../v1/DeleteTrainingPipelineRequest.java     |   668 +
 ...eleteTrainingPipelineRequestOrBuilder.java |    58 +
 .../v1/DeployModelOperationMetadata.java      |   741 +
 ...DeployModelOperationMetadataOrBuilder.java |    60 +
 .../aiplatform/v1/DeployModelRequest.java     |  1418 ++
 .../v1/DeployModelRequestOrBuilder.java       |   202 +
 .../aiplatform/v1/DeployModelResponse.java    |   734 +
 .../v1/DeployModelResponseOrBuilder.java      |    60 +
 .../cloud/aiplatform/v1/DeployedModel.java    |  2474 +++
 .../aiplatform/v1/DeployedModelNameProto.java |    83 +
 .../aiplatform/v1/DeployedModelOrBuilder.java |   295 +
 .../cloud/aiplatform/v1/DeployedModelRef.java |   828 +
 .../v1/DeployedModelRefOrBuilder.java         |    79 +
 .../google/cloud/aiplatform/v1/DiskSpec.java  |   737 +
 .../aiplatform/v1/DiskSpecOrBuilder.java      |    67 +
 .../cloud/aiplatform/v1/EncryptionSpec.java   |   664 +
 .../v1/EncryptionSpecOrBuilder.java           |    58 +
 .../aiplatform/v1/EncryptionSpecProto.java    |    78 +
 .../google/cloud/aiplatform/v1/Endpoint.java  |  3395 ++++
 .../cloud/aiplatform/v1/EndpointName.java     |   223 +
 .../aiplatform/v1/EndpointOrBuilder.java      |   473 +
 .../cloud/aiplatform/v1/EndpointProto.java    |   172 +
 .../aiplatform/v1/EndpointServiceProto.java   |   356 +
 .../google/cloud/aiplatform/v1/EnvVar.java    |   853 +
 .../cloud/aiplatform/v1/EnvVarOrBuilder.java  |    87 +
 .../cloud/aiplatform/v1/EnvVarProto.java      |    77 +
 .../cloud/aiplatform/v1/ExportDataConfig.java |  1134 ++
 .../v1/ExportDataConfigOrBuilder.java         |   117 +
 .../v1/ExportDataOperationMetadata.java       |   928 +
 .../ExportDataOperationMetadataOrBuilder.java |    87 +
 .../aiplatform/v1/ExportDataRequest.java      |   965 +
 .../v1/ExportDataRequestOrBuilder.java        |    99 +
 .../aiplatform/v1/ExportDataResponse.java     |   737 +
 .../v1/ExportDataResponseOrBuilder.java       |    76 +
 .../v1/ExportModelOperationMetadata.java      |  1958 ++
 ...ExportModelOperationMetadataOrBuilder.java |   102 +
 .../aiplatform/v1/ExportModelRequest.java     |  2451 +++
 .../v1/ExportModelRequestOrBuilder.java       |    98 +
 .../aiplatform/v1/ExportModelResponse.java    |   456 +
 .../v1/ExportModelResponseOrBuilder.java      |    24 +
 .../cloud/aiplatform/v1/FilterSplit.java      |  1107 ++
 .../aiplatform/v1/FilterSplitOrBuilder.java   |   130 +
 .../cloud/aiplatform/v1/FractionSplit.java    |   746 +
 .../aiplatform/v1/FractionSplitOrBuilder.java |    64 +
 .../cloud/aiplatform/v1/GcsDestination.java   |   648 +
 .../v1/GcsDestinationOrBuilder.java           |    54 +
 .../google/cloud/aiplatform/v1/GcsSource.java |   760 +
 .../aiplatform/v1/GcsSourceOrBuilder.java     |    84 +
 .../v1/GenericOperationMetadata.java          |  1670 ++
 .../v1/GenericOperationMetadataOrBuilder.java |   183 +
 .../v1/GetAnnotationSpecRequest.java          |   933 +
 .../v1/GetAnnotationSpecRequestOrBuilder.java |    93 +
 .../v1/GetBatchPredictionJobRequest.java      |   665 +
 ...GetBatchPredictionJobRequestOrBuilder.java |    58 +
 .../aiplatform/v1/GetCustomJobRequest.java    |   664 +
 .../v1/GetCustomJobRequestOrBuilder.java      |    58 +
 .../v1/GetDataLabelingJobRequest.java         |   665 +
 .../GetDataLabelingJobRequestOrBuilder.java   |    58 +
 .../aiplatform/v1/GetDatasetRequest.java      |   917 +
 .../v1/GetDatasetRequestOrBuilder.java        |    89 +
 .../aiplatform/v1/GetEndpointRequest.java     |   664 +
 .../v1/GetEndpointRequestOrBuilder.java       |    58 +
 .../v1/GetHyperparameterTuningJobRequest.java |   673 +
 ...perparameterTuningJobRequestOrBuilder.java |    58 +
 .../v1/GetModelEvaluationRequest.java         |   665 +
 .../GetModelEvaluationRequestOrBuilder.java   |    58 +
 .../v1/GetModelEvaluationSliceRequest.java    |   670 +
 ...tModelEvaluationSliceRequestOrBuilder.java |    58 +
 .../cloud/aiplatform/v1/GetModelRequest.java  |   655 +
 .../v1/GetModelRequestOrBuilder.java          |    56 +
 .../v1/GetSpecialistPoolRequest.java          |   665 +
 .../v1/GetSpecialistPoolRequestOrBuilder.java |    58 +
 .../v1/GetTrainingPipelineRequest.java        |   665 +
 .../GetTrainingPipelineRequestOrBuilder.java  |    58 +
 .../v1/HyperparameterTuningJob.java           |  4550 +++++
 .../v1/HyperparameterTuningJobName.java       |   240 +
 .../v1/HyperparameterTuningJobOrBuilder.java  |   607 +
 .../v1/HyperparameterTuningJobProto.java      |   153 +
 .../cloud/aiplatform/v1/ImportDataConfig.java |  1473 ++
 .../v1/ImportDataConfigOrBuilder.java         |   195 +
 .../v1/ImportDataOperationMetadata.java       |   741 +
 .../ImportDataOperationMetadataOrBuilder.java |    60 +
 .../aiplatform/v1/ImportDataRequest.java      |  1237 ++
 .../v1/ImportDataRequestOrBuilder.java        |   125 +
 .../aiplatform/v1/ImportDataResponse.java     |   456 +
 .../v1/ImportDataResponseOrBuilder.java       |    24 +
 .../cloud/aiplatform/v1/InputDataConfig.java  |  3561 ++++
 .../v1/InputDataConfigOrBuilder.java          |   465 +
 .../google/cloud/aiplatform/v1/IoProto.java   |   129 +
 .../cloud/aiplatform/v1/JobServiceProto.java  |   582 +
 .../google/cloud/aiplatform/v1/JobState.java  |   310 +
 .../cloud/aiplatform/v1/JobStateProto.java    |    61 +
 .../aiplatform/v1/ListAnnotationsRequest.java |  1567 ++
 .../v1/ListAnnotationsRequestOrBuilder.java   |   183 +
 .../v1/ListAnnotationsResponse.java           |  1131 ++
 .../v1/ListAnnotationsResponseOrBuilder.java  |   102 +
 .../v1/ListBatchPredictionJobsRequest.java    |  1456 ++
 ...stBatchPredictionJobsRequestOrBuilder.java |   176 +
 .../v1/ListBatchPredictionJobsResponse.java   |  1187 ++
 ...tBatchPredictionJobsResponseOrBuilder.java |   107 +
 .../aiplatform/v1/ListCustomJobsRequest.java  |  1450 ++
 .../v1/ListCustomJobsRequestOrBuilder.java    |   176 +
 .../aiplatform/v1/ListCustomJobsResponse.java |  1137 ++
 .../v1/ListCustomJobsResponseOrBuilder.java   |   104 +
 .../aiplatform/v1/ListDataItemsRequest.java   |  1566 ++
 .../v1/ListDataItemsRequestOrBuilder.java     |   183 +
 .../aiplatform/v1/ListDataItemsResponse.java  |  1128 ++
 .../v1/ListDataItemsResponseOrBuilder.java    |   102 +
 .../v1/ListDataLabelingJobsRequest.java       |  1659 ++
 .../ListDataLabelingJobsRequestOrBuilder.java |   208 +
 .../v1/ListDataLabelingJobsResponse.java      |  1166 ++
 ...ListDataLabelingJobsResponseOrBuilder.java |   107 +
 .../aiplatform/v1/ListDatasetsRequest.java    |  1657 ++
 .../v1/ListDatasetsRequestOrBuilder.java      |   209 +
 .../aiplatform/v1/ListDatasetsResponse.java   |  1127 ++
 .../v1/ListDatasetsResponseOrBuilder.java     |   102 +
 .../aiplatform/v1/ListEndpointsRequest.java   |  1711 ++
 .../v1/ListEndpointsRequestOrBuilder.java     |   224 +
 .../aiplatform/v1/ListEndpointsResponse.java  |  1135 ++
 .../v1/ListEndpointsResponseOrBuilder.java    |   104 +
 .../ListHyperparameterTuningJobsRequest.java  |  1464 ++
 ...erparameterTuningJobsRequestOrBuilder.java |   176 +
 .../ListHyperparameterTuningJobsResponse.java |  1254 ++
 ...rparameterTuningJobsResponseOrBuilder.java |   123 +
 .../v1/ListModelEvaluationSlicesRequest.java  |  1417 ++
 ...ModelEvaluationSlicesRequestOrBuilder.java |   164 +
 .../v1/ListModelEvaluationSlicesResponse.java |  1196 ++
 ...odelEvaluationSlicesResponseOrBuilder.java |   113 +
 .../v1/ListModelEvaluationsRequest.java       |  1395 ++
 .../ListModelEvaluationsRequestOrBuilder.java |   160 +
 .../v1/ListModelEvaluationsResponse.java      |  1150 ++
 ...ListModelEvaluationsResponseOrBuilder.java |   104 +
 .../aiplatform/v1/ListModelsRequest.java      |  1698 ++
 .../v1/ListModelsRequestOrBuilder.java        |   221 +
 .../aiplatform/v1/ListModelsResponse.java     |  1134 ++
 .../v1/ListModelsResponseOrBuilder.java       |   103 +
 .../v1/ListSpecialistPoolsRequest.java        |  1216 ++
 .../ListSpecialistPoolsRequestOrBuilder.java  |   135 +
 .../v1/ListSpecialistPoolsResponse.java       |  1142 ++
 .../ListSpecialistPoolsResponseOrBuilder.java |   102 +
 .../v1/ListTrainingPipelinesRequest.java      |  1451 ++
 ...ListTrainingPipelinesRequestOrBuilder.java |   176 +
 .../v1/ListTrainingPipelinesResponse.java     |  1155 ++
 ...istTrainingPipelinesResponseOrBuilder.java |   104 +
 .../cloud/aiplatform/v1/LocationName.java     |   192 +
 .../aiplatform/v1/MachineResourcesProto.java  |   157 +
 .../cloud/aiplatform/v1/MachineSpec.java      |   941 +
 .../aiplatform/v1/MachineSpecOrBuilder.java   |   106 +
 .../v1/ManualBatchTuningParameters.java       |   571 +
 .../ManualBatchTuningParametersOrBuilder.java |    44 +
 .../v1/ManualBatchTuningParametersProto.java  |    79 +
 .../cloud/aiplatform/v1/Measurement.java      |  1888 ++
 .../aiplatform/v1/MeasurementOrBuilder.java   |   106 +
 .../aiplatform/v1/MigratableResource.java     |  7818 ++++++++
 .../v1/MigratableResourceOrBuilder.java       |   279 +
 .../v1/MigratableResourceProto.java           |   203 +
 .../aiplatform/v1/MigrateResourceRequest.java |  7698 ++++++++
 .../v1/MigrateResourceRequestOrBuilder.java   |   208 +
 .../v1/MigrateResourceResponse.java           |  1241 ++
 .../v1/MigrateResourceResponseOrBuilder.java  |   116 +
 .../aiplatform/v1/MigrationServiceProto.java  |   349 +
 .../com/google/cloud/aiplatform/v1/Model.java |  8704 +++++++++
 .../aiplatform/v1/ModelContainerSpec.java     |  4655 +++++
 .../v1/ModelContainerSpecOrBuilder.java       |   865 +
 .../cloud/aiplatform/v1/ModelEvaluation.java  |  1735 ++
 .../aiplatform/v1/ModelEvaluationName.java    |   260 +
 .../v1/ModelEvaluationOrBuilder.java          |   220 +
 .../aiplatform/v1/ModelEvaluationProto.java   |    94 +
 .../aiplatform/v1/ModelEvaluationSlice.java   |  2605 +++
 .../v1/ModelEvaluationSliceName.java          |   298 +
 .../v1/ModelEvaluationSliceOrBuilder.java     |   198 +
 .../v1/ModelEvaluationSliceProto.java         |   111 +
 .../google/cloud/aiplatform/v1/ModelName.java |   223 +
 .../cloud/aiplatform/v1/ModelOrBuilder.java   |  1147 ++
 .../cloud/aiplatform/v1/ModelProto.java       |   225 +
 .../aiplatform/v1/ModelServiceProto.java      |   442 +
 .../cloud/aiplatform/v1/OperationProto.java   |   101 +
 .../aiplatform/v1/PipelineServiceProto.java   |   209 +
 .../cloud/aiplatform/v1/PipelineState.java    |   314 +
 .../aiplatform/v1/PipelineStateProto.java     |    62 +
 .../com/google/cloud/aiplatform/v1/Port.java  |   545 +
 .../cloud/aiplatform/v1/PortOrBuilder.java    |    39 +
 .../cloud/aiplatform/v1/PredefinedSplit.java  |   673 +
 .../v1/PredefinedSplitOrBuilder.java          |    60 +
 .../cloud/aiplatform/v1/PredictRequest.java   |  1676 ++
 .../v1/PredictRequestOrBuilder.java           |   198 +
 .../cloud/aiplatform/v1/PredictResponse.java  |  1214 ++
 .../v1/PredictResponseOrBuilder.java          |   121 +
 .../cloud/aiplatform/v1/PredictSchemata.java  |  1192 ++
 .../v1/PredictSchemataOrBuilder.java          |   156 +
 .../aiplatform/v1/PredictionServiceProto.java |   116 +
 .../aiplatform/v1/PythonPackageSpec.java      |  1904 ++
 .../v1/PythonPackageSpecOrBuilder.java        |   242 +
 .../aiplatform/v1/ResourcesConsumed.java      |   557 +
 .../v1/ResourcesConsumedOrBuilder.java        |    40 +
 .../cloud/aiplatform/v1/SampleConfig.java     |  1127 ++
 .../aiplatform/v1/SampleConfigOrBuilder.java  |    85 +
 .../cloud/aiplatform/v1/Scheduling.java       |   820 +
 .../aiplatform/v1/SchedulingOrBuilder.java    |    75 +
 .../v1/SearchMigratableResourcesRequest.java  |  1195 ++
 ...chMigratableResourcesRequestOrBuilder.java |   142 +
 .../v1/SearchMigratableResourcesResponse.java |  1211 ++
 ...hMigratableResourcesResponseOrBuilder.java |   112 +
 .../cloud/aiplatform/v1/SpecialistPool.java   |  1525 ++
 .../aiplatform/v1/SpecialistPoolName.java     |   227 +
 .../v1/SpecialistPoolOrBuilder.java           |   204 +
 .../aiplatform/v1/SpecialistPoolProto.java    |    92 +
 .../v1/SpecialistPoolServiceProto.java        |   245 +
 .../cloud/aiplatform/v1/StudyProto.java       |   372 +
 .../google/cloud/aiplatform/v1/StudySpec.java | 14913 ++++++++++++++++
 .../aiplatform/v1/StudySpecOrBuilder.java     |   232 +
 .../cloud/aiplatform/v1/TimestampSplit.java   |   950 +
 .../v1/TimestampSplitOrBuilder.java           |    97 +
 .../cloud/aiplatform/v1/TrainingConfig.java   |   552 +
 .../v1/TrainingConfigOrBuilder.java           |    39 +
 .../cloud/aiplatform/v1/TrainingPipeline.java |  4794 +++++
 .../aiplatform/v1/TrainingPipelineName.java   |   227 +
 .../v1/TrainingPipelineOrBuilder.java         |   681 +
 .../aiplatform/v1/TrainingPipelineProto.java  |   253 +
 .../com/google/cloud/aiplatform/v1/Trial.java |  3653 ++++
 .../google/cloud/aiplatform/v1/TrialName.java |   257 +
 .../cloud/aiplatform/v1/TrialOrBuilder.java   |   289 +
 .../v1/UndeployModelOperationMetadata.java    |   746 +
 ...deployModelOperationMetadataOrBuilder.java |    60 +
 .../aiplatform/v1/UndeployModelRequest.java   |  1237 ++
 .../v1/UndeployModelRequestOrBuilder.java     |   167 +
 .../aiplatform/v1/UndeployModelResponse.java  |   456 +
 .../v1/UndeployModelResponseOrBuilder.java    |    24 +
 .../aiplatform/v1/UpdateDatasetRequest.java   |  1113 ++
 .../v1/UpdateDatasetRequestOrBuilder.java     |   122 +
 .../aiplatform/v1/UpdateEndpointRequest.java  |  1065 ++
 .../v1/UpdateEndpointRequestOrBuilder.java    |   110 +
 .../aiplatform/v1/UpdateModelRequest.java     |  1047 ++
 .../v1/UpdateModelRequestOrBuilder.java       |   107 +
 ...UpdateSpecialistPoolOperationMetadata.java |   964 +
 ...cialistPoolOperationMetadataOrBuilder.java |    93 +
 .../v1/UpdateSpecialistPoolRequest.java       |  1043 ++
 .../UpdateSpecialistPoolRequestOrBuilder.java |   104 +
 .../v1/UploadModelOperationMetadata.java      |   741 +
 ...UploadModelOperationMetadataOrBuilder.java |    60 +
 .../aiplatform/v1/UploadModelRequest.java     |   940 +
 .../v1/UploadModelRequestOrBuilder.java       |    94 +
 .../aiplatform/v1/UploadModelResponse.java    |   643 +
 .../v1/UploadModelResponseOrBuilder.java      |    52 +
 .../aiplatform/v1/UserActionReference.java    |  1176 ++
 .../v1/UserActionReferenceOrBuilder.java      |   116 +
 .../v1/UserActionReferenceProto.java          |    71 +
 .../cloud/aiplatform/v1/VersionName.java      |   217 +
 .../cloud/aiplatform/v1/WorkerPoolSpec.java   |  1809 ++
 .../v1/WorkerPoolSpecOrBuilder.java           |   186 +
 ...ImageClassificationPredictionInstance.java |   942 +
 ...sificationPredictionInstanceOrBuilder.java |    91 +
 ...ClassificationPredictionInstanceProto.java |    74 +
 ...mageObjectDetectionPredictionInstance.java |   943 +
 ...tDetectionPredictionInstanceOrBuilder.java |    91 +
 ...bjectDetectionPredictionInstanceProto.java |    74 +
 .../ImageSegmentationPredictionInstance.java  |   906 +
 ...gmentationPredictionInstanceOrBuilder.java |    81 +
 ...geSegmentationPredictionInstanceProto.java |    73 +
 .../TextClassificationPredictionInstance.java |   899 +
 ...sificationPredictionInstanceOrBuilder.java |    79 +
 ...ClassificationPredictionInstanceProto.java |    73 +
 .../TextExtractionPredictionInstance.java     |  1098 ++
 ...ExtractionPredictionInstanceOrBuilder.java |   112 +
 ...TextExtractionPredictionInstanceProto.java |    74 +
 .../TextSentimentPredictionInstance.java      |   889 +
 ...tSentimentPredictionInstanceOrBuilder.java |    79 +
 .../TextSentimentPredictionInstanceProto.java |    73 +
 ...eoActionRecognitionPredictionInstance.java |  1312 ++
 ...ecognitionPredictionInstanceOrBuilder.java |   143 +
 ...ionRecognitionPredictionInstanceProto.java |    75 +
 ...VideoClassificationPredictionInstance.java |  1307 ++
 ...sificationPredictionInstanceOrBuilder.java |   143 +
 ...ClassificationPredictionInstanceProto.java |    75 +
 ...VideoObjectTrackingPredictionInstance.java |  1307 ++
 ...ctTrackingPredictionInstanceOrBuilder.java |   143 +
 ...ObjectTrackingPredictionInstanceProto.java |    75 +
 .../ImageClassificationPredictionParams.java  |   713 +
 ...assificationPredictionParamsOrBuilder.java |    54 +
 ...geClassificationPredictionParamsProto.java |    74 +
 .../ImageObjectDetectionPredictionParams.java |   716 +
 ...ectDetectionPredictionParamsOrBuilder.java |    54 +
 ...eObjectDetectionPredictionParamsProto.java |    74 +
 .../ImageSegmentationPredictionParams.java    |   619 +
 ...SegmentationPredictionParamsOrBuilder.java |    41 +
 ...mageSegmentationPredictionParamsProto.java |    73 +
 ...ideoActionRecognitionPredictionParams.java |   719 +
 ...nRecognitionPredictionParamsOrBuilder.java |    54 +
 ...ctionRecognitionPredictionParamsProto.java |    74 +
 .../VideoClassificationPredictionParams.java  |  1049 ++
 ...assificationPredictionParamsOrBuilder.java |   109 +
 ...eoClassificationPredictionParamsProto.java |    80 +
 .../VideoObjectTrackingPredictionParams.java  |   808 +
 ...jectTrackingPredictionParamsOrBuilder.java |    68 +
 ...eoObjectTrackingPredictionParamsProto.java |    74 +
 .../ClassificationPredictionResult.java       |  1315 ++
 ...assificationPredictionResultOrBuilder.java |   162 +
 .../ClassificationPredictionResultProto.java  |    74 +
 .../ImageObjectDetectionPredictionResult.java |  1922 ++
 ...ectDetectionPredictionResultOrBuilder.java |   238 +
 ...eObjectDetectionPredictionResultProto.java |    78 +
 .../ImageSegmentationPredictionResult.java    |   947 +
 ...SegmentationPredictionResultOrBuilder.java |    93 +
 ...mageSegmentationPredictionResultProto.java |    74 +
 ...TabularClassificationPredictionResult.java |  1084 ++
 ...assificationPredictionResultOrBuilder.java |   124 +
 ...arClassificationPredictionResultProto.java |    74 +
 .../TabularRegressionPredictionResult.java    |   798 +
 ...arRegressionPredictionResultOrBuilder.java |    64 +
 ...abularRegressionPredictionResultProto.java |    74 +
 .../TextExtractionPredictionResult.java       |  1848 ++
 ...xtExtractionPredictionResultOrBuilder.java |   250 +
 .../TextExtractionPredictionResultProto.java  |    80 +
 .../TextSentimentPredictionResult.java        |   621 +
 ...extSentimentPredictionResultOrBuilder.java |    42 +
 .../TextSentimentPredictionResultProto.java   |    73 +
 ...ideoActionRecognitionPredictionResult.java |  1801 ++
 ...nRecognitionPredictionResultOrBuilder.java |   201 +
 ...ctionRecognitionPredictionResultProto.java |    83 +
 .../VideoClassificationPredictionResult.java  |  2075 +++
 ...assificationPredictionResultOrBuilder.java |   252 +
 ...eoClassificationPredictionResultProto.java |    84 +
 .../VideoObjectTrackingPredictionResult.java  |  4530 +++++
 ...jectTrackingPredictionResultOrBuilder.java |   277 +
 ...eoObjectTrackingPredictionResultProto.java |   106 +
 .../AutoMLImageClassificationProto.java       |   126 +
 .../AutoMLImageObjectDetectionProto.java      |   122 +
 .../AutoMLImageSegmentationProto.java         |   118 +
 .../definition/AutoMLTablesProto.java         |   309 +
 .../AutoMLTextClassificationProto.java        |    89 +
 .../definition/AutoMLTextExtractionProto.java |    86 +
 .../definition/AutoMLTextSentimentProto.java  |    88 +
 .../AutoMLVideoActionRecognitionProto.java    |    95 +
 .../AutoMLVideoClassificationProto.java       |    95 +
 .../AutoMLVideoObjectTrackingProto.java       |    98 +
 .../definition/AutoMlImageClassification.java |  1196 ++
 .../AutoMlImageClassificationInputs.java      |  1443 ++
 ...oMlImageClassificationInputsOrBuilder.java |   137 +
 .../AutoMlImageClassificationMetadata.java    |   975 +
 ...lImageClassificationMetadataOrBuilder.java |    74 +
 .../AutoMlImageClassificationOrBuilder.java   |   114 +
 .../AutoMlImageObjectDetection.java           |  1200 ++
 .../AutoMlImageObjectDetectionInputs.java     |  1161 ++
 ...MlImageObjectDetectionInputsOrBuilder.java |    88 +
 .../AutoMlImageObjectDetectionMetadata.java   |   979 +
 ...ImageObjectDetectionMetadataOrBuilder.java |    74 +
 .../AutoMlImageObjectDetectionOrBuilder.java  |   114 +
 .../definition/AutoMlImageSegmentation.java   |  1173 ++
 .../AutoMlImageSegmentationInputs.java        |  1194 ++
 ...utoMlImageSegmentationInputsOrBuilder.java |   102 +
 .../AutoMlImageSegmentationMetadata.java      |   969 +
 ...oMlImageSegmentationMetadataOrBuilder.java |    73 +
 .../AutoMlImageSegmentationOrBuilder.java     |   113 +
 .../trainingjob/definition/AutoMlTables.java  |  1121 ++
 .../definition/AutoMlTablesInputs.java        | 12499 +++++++++++++
 .../AutoMlTablesInputsOrBuilder.java          |   388 +
 .../definition/AutoMlTablesMetadata.java      |   588 +
 .../AutoMlTablesMetadataOrBuilder.java        |    40 +
 .../definition/AutoMlTablesOrBuilder.java     |   106 +
 .../definition/AutoMlTextClassification.java  |   850 +
 .../AutoMlTextClassificationInputs.java       |   579 +
 ...toMlTextClassificationInputsOrBuilder.java |    32 +
 .../AutoMlTextClassificationOrBuilder.java    |    69 +
 .../definition/AutoMlTextExtraction.java      |   823 +
 .../AutoMlTextExtractionInputs.java           |   500 +
 .../AutoMlTextExtractionInputsOrBuilder.java  |    24 +
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 synth.metadata                                |     9 +
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 versions.txt                                  |     2 +
 659 files changed, 389303 insertions(+), 6 deletions(-)
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 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResult.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageClassificationProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageObjectDetectionProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTablesProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextClassificationProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextExtractionProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextSentimentProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoActionRecognitionProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoObjectTrackingProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassification.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadata.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadataOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetection.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadata.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadataOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentation.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadata.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadataOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTables.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadata.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadataOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassification.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtraction.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentiment.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognition.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassification.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTracking.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputs.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputsOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigProto.java
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/accelerator_type.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/deployed_model_ref.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/env_var.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_state.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_state.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_sentiment.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_action_recognition.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_object_tracking.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_object_detection.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_action_recognition.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_object_detection.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_regression.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_extraction.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_sentiment.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_action_recognition.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_object_tracking.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool_service.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/study.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/training_pipeline.proto
 create mode 100644 proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/user_action_reference.proto
 delete mode 100644 samples/snippets/resources/caprese_salad.jpg
 create mode 100644 samples/snippets/resources/iod_caprese_salad.jpg

diff --git a/google-cloud-aiplatform-bom/pom.xml b/google-cloud-aiplatform-bom/pom.xml
index 90d5c3e2d..2c6e0c895 100644
--- a/google-cloud-aiplatform-bom/pom.xml
+++ b/google-cloud-aiplatform-bom/pom.xml
@@ -75,11 +75,21 @@
         <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
         <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
+      <dependency>
+        <groupId>com.google.api.grpc</groupId>
+        <artifactId>proto-google-cloud-aiplatform-v1</artifactId>
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
+      </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
         <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
+      <dependency>
+        <groupId>com.google.api.grpc</groupId>
+        <artifactId>grpc-google-cloud-aiplatform-v1</artifactId>
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
+      </dependency>
     </dependencies>
   </dependencyManagement>
 
diff --git a/google-cloud-aiplatform/pom.xml b/google-cloud-aiplatform/pom.xml
index 91ba8aa4a..6e4efa1d5 100644
--- a/google-cloud-aiplatform/pom.xml
+++ b/google-cloud-aiplatform/pom.xml
@@ -46,6 +46,10 @@
       <groupId>com.google.api.grpc</groupId>
       <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
     </dependency>
+    <dependency>
+      <groupId>com.google.api.grpc</groupId>
+      <artifactId>proto-google-cloud-aiplatform-v1</artifactId>
+    </dependency>
     <dependency>
       <groupId>com.google.guava</groupId>
       <artifactId>guava</artifactId>
@@ -76,6 +80,11 @@
       <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
       <scope>test</scope>
     </dependency>
+    <dependency>
+      <groupId>com.google.api.grpc</groupId>
+      <artifactId>grpc-google-cloud-aiplatform-v1</artifactId>
+      <scope>test</scope>
+    </dependency>
     <!-- Need testing utility classes for generated gRPC clients tests -->
     <dependency>
       <groupId>com.google.api</groupId>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceClient.java
new file mode 100644
index 000000000..7811aa7ab
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceClient.java
@@ -0,0 +1,1015 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.ApiFutures;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.api.gax.paging.AbstractFixedSizeCollection;
+import com.google.api.gax.paging.AbstractPage;
+import com.google.api.gax.paging.AbstractPagedListResponse;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.stub.DatasetServiceStub;
+import com.google.cloud.aiplatform.v1.stub.DatasetServiceStubSettings;
+import com.google.common.util.concurrent.MoreExecutors;
+import com.google.longrunning.Operation;
+import com.google.longrunning.OperationsClient;
+import com.google.protobuf.Empty;
+import com.google.protobuf.FieldMask;
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * This class provides the ability to make remote calls to the backing service through method calls
+ * that map to API methods. Sample code to get started:
+ *
+ * <p>Note: close() needs to be called on the DatasetServiceClient object to clean up resources such
+ * as threads. In the example above, try-with-resources is used, which automatically calls close().
+ *
+ * <p>The surface of this class includes several types of Java methods for each of the API's
+ * methods:
+ *
+ * <ol>
+ *   <li>A "flattened" method. With this type of method, the fields of the request type have been
+ *       converted into function parameters. It may be the case that not all fields are available as
+ *       parameters, and not every API method will have a flattened method entry point.
+ *   <li>A "request object" method. This type of method only takes one parameter, a request object,
+ *       which must be constructed before the call. Not every API method will have a request object
+ *       method.
+ *   <li>A "callable" method. This type of method takes no parameters and returns an immutable API
+ *       callable object, which can be used to initiate calls to the service.
+ * </ol>
+ *
+ * <p>See the individual methods for example code.
+ *
+ * <p>Many parameters require resource names to be formatted in a particular way. To assist with
+ * these names, this class includes a format method for each type of name, and additionally a parse
+ * method to extract the individual identifiers contained within names that are returned.
+ *
+ * <p>This class can be customized by passing in a custom instance of DatasetServiceSettings to
+ * create(). For example:
+ *
+ * <p>To customize credentials:
+ *
+ * <pre>{@code
+ * DatasetServiceSettings datasetServiceSettings =
+ *     DatasetServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings);
+ * }</pre>
+ *
+ * <p>To customize the endpoint:
+ *
+ * <pre>{@code
+ * DatasetServiceSettings datasetServiceSettings =
+ *     DatasetServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings);
+ * }</pre>
+ *
+ * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
+ */
+@Generated("by gapic-generator-java")
+public class DatasetServiceClient implements BackgroundResource {
+  private final DatasetServiceSettings settings;
+  private final DatasetServiceStub stub;
+  private final OperationsClient operationsClient;
+
+  /** Constructs an instance of DatasetServiceClient with default settings. */
+  public static final DatasetServiceClient create() throws IOException {
+    return create(DatasetServiceSettings.newBuilder().build());
+  }
+
+  /**
+   * Constructs an instance of DatasetServiceClient, using the given settings. The channels are
+   * created based on the settings passed in, or defaults for any settings that are not set.
+   */
+  public static final DatasetServiceClient create(DatasetServiceSettings settings)
+      throws IOException {
+    return new DatasetServiceClient(settings);
+  }
+
+  /**
+   * Constructs an instance of DatasetServiceClient, using the given stub for making calls. This is
+   * for advanced usage - prefer using create(DatasetServiceSettings).
+   */
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public static final DatasetServiceClient create(DatasetServiceStub stub) {
+    return new DatasetServiceClient(stub);
+  }
+
+  /**
+   * Constructs an instance of DatasetServiceClient, using the given settings. This is protected so
+   * that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected DatasetServiceClient(DatasetServiceSettings settings) throws IOException {
+    this.settings = settings;
+    this.stub = ((DatasetServiceStubSettings) settings.getStubSettings()).createStub();
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  protected DatasetServiceClient(DatasetServiceStub stub) {
+    this.settings = null;
+    this.stub = stub;
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  public final DatasetServiceSettings getSettings() {
+    return settings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public DatasetServiceStub getStub() {
+    return stub;
+  }
+
+  /**
+   * Returns the OperationsClient that can be used to query the status of a long-running operation
+   * returned by another API method call.
+   */
+  public final OperationsClient getOperationsClient() {
+    return operationsClient;
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a Dataset.
+   *
+   * @param parent Required. The resource name of the Location to create the Dataset in. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param dataset Required. The Dataset to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Dataset, CreateDatasetOperationMetadata> createDatasetAsync(
+      LocationName parent, Dataset dataset) {
+    CreateDatasetRequest request =
+        CreateDatasetRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setDataset(dataset)
+            .build();
+    return createDatasetAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a Dataset.
+   *
+   * @param parent Required. The resource name of the Location to create the Dataset in. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param dataset Required. The Dataset to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Dataset, CreateDatasetOperationMetadata> createDatasetAsync(
+      String parent, Dataset dataset) {
+    CreateDatasetRequest request =
+        CreateDatasetRequest.newBuilder().setParent(parent).setDataset(dataset).build();
+    return createDatasetAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a Dataset.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Dataset, CreateDatasetOperationMetadata> createDatasetAsync(
+      CreateDatasetRequest request) {
+    return createDatasetOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+      createDatasetOperationCallable() {
+    return stub.createDatasetOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CreateDatasetRequest, Operation> createDatasetCallable() {
+    return stub.createDatasetCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a Dataset.
+   *
+   * @param name Required. The name of the Dataset resource.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Dataset getDataset(DatasetName name) {
+    GetDatasetRequest request =
+        GetDatasetRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    return getDataset(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a Dataset.
+   *
+   * @param name Required. The name of the Dataset resource.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Dataset getDataset(String name) {
+    GetDatasetRequest request = GetDatasetRequest.newBuilder().setName(name).build();
+    return getDataset(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a Dataset.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Dataset getDataset(GetDatasetRequest request) {
+    return getDatasetCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
+    return stub.getDatasetCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a Dataset.
+   *
+   * @param dataset Required. The Dataset which replaces the resource on the server.
+   * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
+   *     definition, see [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   *     Updatable fields:
+   *     <p>&#42; `display_name` &#42; `description` &#42; `labels`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Dataset updateDataset(Dataset dataset, FieldMask updateMask) {
+    UpdateDatasetRequest request =
+        UpdateDatasetRequest.newBuilder().setDataset(dataset).setUpdateMask(updateMask).build();
+    return updateDataset(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a Dataset.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Dataset updateDataset(UpdateDatasetRequest request) {
+    return updateDatasetCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<UpdateDatasetRequest, Dataset> updateDatasetCallable() {
+    return stub.updateDatasetCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Datasets in a Location.
+   *
+   * @param parent Required. The name of the Dataset's parent resource. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDatasetsPagedResponse listDatasets(LocationName parent) {
+    ListDatasetsRequest request =
+        ListDatasetsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listDatasets(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Datasets in a Location.
+   *
+   * @param parent Required. The name of the Dataset's parent resource. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDatasetsPagedResponse listDatasets(String parent) {
+    ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(parent).build();
+    return listDatasets(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Datasets in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDatasetsPagedResponse listDatasets(ListDatasetsRequest request) {
+    return listDatasetsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Datasets in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListDatasetsRequest, ListDatasetsPagedResponse>
+      listDatasetsPagedCallable() {
+    return stub.listDatasetsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Datasets in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListDatasetsRequest, ListDatasetsResponse> listDatasetsCallable() {
+    return stub.listDatasetsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Dataset.
+   *
+   * @param name Required. The resource name of the Dataset to delete. Format:
+   *     `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteDatasetAsync(
+      DatasetName name) {
+    DeleteDatasetRequest request =
+        DeleteDatasetRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    return deleteDatasetAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Dataset.
+   *
+   * @param name Required. The resource name of the Dataset to delete. Format:
+   *     `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteDatasetAsync(String name) {
+    DeleteDatasetRequest request = DeleteDatasetRequest.newBuilder().setName(name).build();
+    return deleteDatasetAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Dataset.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteDatasetAsync(
+      DeleteDatasetRequest request) {
+    return deleteDatasetOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+      deleteDatasetOperationCallable() {
+    return stub.deleteDatasetOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteDatasetRequest, Operation> deleteDatasetCallable() {
+    return stub.deleteDatasetCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Imports data into a Dataset.
+   *
+   * @param name Required. The name of the Dataset resource. Format:
+   *     `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param importConfigs Required. The desired input locations. The contents of all input locations
+   *     will be imported in one batch.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataAsync(
+      DatasetName name, List<ImportDataConfig> importConfigs) {
+    ImportDataRequest request =
+        ImportDataRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .addAllImportConfigs(importConfigs)
+            .build();
+    return importDataAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Imports data into a Dataset.
+   *
+   * @param name Required. The name of the Dataset resource. Format:
+   *     `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param importConfigs Required. The desired input locations. The contents of all input locations
+   *     will be imported in one batch.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataAsync(
+      String name, List<ImportDataConfig> importConfigs) {
+    ImportDataRequest request =
+        ImportDataRequest.newBuilder().setName(name).addAllImportConfigs(importConfigs).build();
+    return importDataAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Imports data into a Dataset.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataAsync(
+      ImportDataRequest request) {
+    return importDataOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Imports data into a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+      importDataOperationCallable() {
+    return stub.importDataOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Imports data into a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ImportDataRequest, Operation> importDataCallable() {
+    return stub.importDataCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports data from a Dataset.
+   *
+   * @param name Required. The name of the Dataset resource. Format:
+   *     `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param exportConfig Required. The desired output location.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ExportDataResponse, ExportDataOperationMetadata> exportDataAsync(
+      DatasetName name, ExportDataConfig exportConfig) {
+    ExportDataRequest request =
+        ExportDataRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .setExportConfig(exportConfig)
+            .build();
+    return exportDataAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports data from a Dataset.
+   *
+   * @param name Required. The name of the Dataset resource. Format:
+   *     `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param exportConfig Required. The desired output location.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ExportDataResponse, ExportDataOperationMetadata> exportDataAsync(
+      String name, ExportDataConfig exportConfig) {
+    ExportDataRequest request =
+        ExportDataRequest.newBuilder().setName(name).setExportConfig(exportConfig).build();
+    return exportDataAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports data from a Dataset.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ExportDataResponse, ExportDataOperationMetadata> exportDataAsync(
+      ExportDataRequest request) {
+    return exportDataOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports data from a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+      exportDataOperationCallable() {
+    return stub.exportDataOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports data from a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ExportDataRequest, Operation> exportDataCallable() {
+    return stub.exportDataCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataItems in a Dataset.
+   *
+   * @param parent Required. The resource name of the Dataset to list DataItems from. Format:
+   *     `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDataItemsPagedResponse listDataItems(DatasetName parent) {
+    ListDataItemsRequest request =
+        ListDataItemsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listDataItems(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataItems in a Dataset.
+   *
+   * @param parent Required. The resource name of the Dataset to list DataItems from. Format:
+   *     `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDataItemsPagedResponse listDataItems(String parent) {
+    ListDataItemsRequest request = ListDataItemsRequest.newBuilder().setParent(parent).build();
+    return listDataItems(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataItems in a Dataset.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDataItemsPagedResponse listDataItems(ListDataItemsRequest request) {
+    return listDataItemsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataItems in a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListDataItemsRequest, ListDataItemsPagedResponse>
+      listDataItemsPagedCallable() {
+    return stub.listDataItemsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataItems in a Dataset.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListDataItemsRequest, ListDataItemsResponse> listDataItemsCallable() {
+    return stub.listDataItemsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets an AnnotationSpec.
+   *
+   * @param name Required. The name of the AnnotationSpec resource. Format:
+   *     <p>`projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final AnnotationSpec getAnnotationSpec(AnnotationSpecName name) {
+    GetAnnotationSpecRequest request =
+        GetAnnotationSpecRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return getAnnotationSpec(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets an AnnotationSpec.
+   *
+   * @param name Required. The name of the AnnotationSpec resource. Format:
+   *     <p>`projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final AnnotationSpec getAnnotationSpec(String name) {
+    GetAnnotationSpecRequest request = GetAnnotationSpecRequest.newBuilder().setName(name).build();
+    return getAnnotationSpec(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets an AnnotationSpec.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final AnnotationSpec getAnnotationSpec(GetAnnotationSpecRequest request) {
+    return getAnnotationSpecCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets an AnnotationSpec.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecCallable() {
+    return stub.getAnnotationSpecCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Annotations belongs to a dataitem
+   *
+   * @param parent Required. The resource name of the DataItem to list Annotations from. Format:
+   *     <p>`projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListAnnotationsPagedResponse listAnnotations(DataItemName parent) {
+    ListAnnotationsRequest request =
+        ListAnnotationsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listAnnotations(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Annotations belongs to a dataitem
+   *
+   * @param parent Required. The resource name of the DataItem to list Annotations from. Format:
+   *     <p>`projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListAnnotationsPagedResponse listAnnotations(String parent) {
+    ListAnnotationsRequest request = ListAnnotationsRequest.newBuilder().setParent(parent).build();
+    return listAnnotations(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Annotations belongs to a dataitem
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListAnnotationsPagedResponse listAnnotations(ListAnnotationsRequest request) {
+    return listAnnotationsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Annotations belongs to a dataitem
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListAnnotationsRequest, ListAnnotationsPagedResponse>
+      listAnnotationsPagedCallable() {
+    return stub.listAnnotationsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Annotations belongs to a dataitem
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListAnnotationsRequest, ListAnnotationsResponse>
+      listAnnotationsCallable() {
+    return stub.listAnnotationsCallable();
+  }
+
+  @Override
+  public final void close() {
+    stub.close();
+  }
+
+  @Override
+  public void shutdown() {
+    stub.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return stub.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return stub.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    stub.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return stub.awaitTermination(duration, unit);
+  }
+
+  public static class ListDatasetsPagedResponse
+      extends AbstractPagedListResponse<
+          ListDatasetsRequest,
+          ListDatasetsResponse,
+          Dataset,
+          ListDatasetsPage,
+          ListDatasetsFixedSizeCollection> {
+
+    public static ApiFuture<ListDatasetsPagedResponse> createAsync(
+        PageContext<ListDatasetsRequest, ListDatasetsResponse, Dataset> context,
+        ApiFuture<ListDatasetsResponse> futureResponse) {
+      ApiFuture<ListDatasetsPage> futurePage =
+          ListDatasetsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListDatasetsPage, ListDatasetsPagedResponse>() {
+            @Override
+            public ListDatasetsPagedResponse apply(ListDatasetsPage input) {
+              return new ListDatasetsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListDatasetsPagedResponse(ListDatasetsPage page) {
+      super(page, ListDatasetsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListDatasetsPage
+      extends AbstractPage<ListDatasetsRequest, ListDatasetsResponse, Dataset, ListDatasetsPage> {
+
+    private ListDatasetsPage(
+        PageContext<ListDatasetsRequest, ListDatasetsResponse, Dataset> context,
+        ListDatasetsResponse response) {
+      super(context, response);
+    }
+
+    private static ListDatasetsPage createEmptyPage() {
+      return new ListDatasetsPage(null, null);
+    }
+
+    @Override
+    protected ListDatasetsPage createPage(
+        PageContext<ListDatasetsRequest, ListDatasetsResponse, Dataset> context,
+        ListDatasetsResponse response) {
+      return new ListDatasetsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListDatasetsPage> createPageAsync(
+        PageContext<ListDatasetsRequest, ListDatasetsResponse, Dataset> context,
+        ApiFuture<ListDatasetsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListDatasetsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListDatasetsRequest,
+          ListDatasetsResponse,
+          Dataset,
+          ListDatasetsPage,
+          ListDatasetsFixedSizeCollection> {
+
+    private ListDatasetsFixedSizeCollection(List<ListDatasetsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListDatasetsFixedSizeCollection createEmptyCollection() {
+      return new ListDatasetsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListDatasetsFixedSizeCollection createCollection(
+        List<ListDatasetsPage> pages, int collectionSize) {
+      return new ListDatasetsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+
+  public static class ListDataItemsPagedResponse
+      extends AbstractPagedListResponse<
+          ListDataItemsRequest,
+          ListDataItemsResponse,
+          DataItem,
+          ListDataItemsPage,
+          ListDataItemsFixedSizeCollection> {
+
+    public static ApiFuture<ListDataItemsPagedResponse> createAsync(
+        PageContext<ListDataItemsRequest, ListDataItemsResponse, DataItem> context,
+        ApiFuture<ListDataItemsResponse> futureResponse) {
+      ApiFuture<ListDataItemsPage> futurePage =
+          ListDataItemsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListDataItemsPage, ListDataItemsPagedResponse>() {
+            @Override
+            public ListDataItemsPagedResponse apply(ListDataItemsPage input) {
+              return new ListDataItemsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListDataItemsPagedResponse(ListDataItemsPage page) {
+      super(page, ListDataItemsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListDataItemsPage
+      extends AbstractPage<
+          ListDataItemsRequest, ListDataItemsResponse, DataItem, ListDataItemsPage> {
+
+    private ListDataItemsPage(
+        PageContext<ListDataItemsRequest, ListDataItemsResponse, DataItem> context,
+        ListDataItemsResponse response) {
+      super(context, response);
+    }
+
+    private static ListDataItemsPage createEmptyPage() {
+      return new ListDataItemsPage(null, null);
+    }
+
+    @Override
+    protected ListDataItemsPage createPage(
+        PageContext<ListDataItemsRequest, ListDataItemsResponse, DataItem> context,
+        ListDataItemsResponse response) {
+      return new ListDataItemsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListDataItemsPage> createPageAsync(
+        PageContext<ListDataItemsRequest, ListDataItemsResponse, DataItem> context,
+        ApiFuture<ListDataItemsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListDataItemsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListDataItemsRequest,
+          ListDataItemsResponse,
+          DataItem,
+          ListDataItemsPage,
+          ListDataItemsFixedSizeCollection> {
+
+    private ListDataItemsFixedSizeCollection(List<ListDataItemsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListDataItemsFixedSizeCollection createEmptyCollection() {
+      return new ListDataItemsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListDataItemsFixedSizeCollection createCollection(
+        List<ListDataItemsPage> pages, int collectionSize) {
+      return new ListDataItemsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+
+  public static class ListAnnotationsPagedResponse
+      extends AbstractPagedListResponse<
+          ListAnnotationsRequest,
+          ListAnnotationsResponse,
+          Annotation,
+          ListAnnotationsPage,
+          ListAnnotationsFixedSizeCollection> {
+
+    public static ApiFuture<ListAnnotationsPagedResponse> createAsync(
+        PageContext<ListAnnotationsRequest, ListAnnotationsResponse, Annotation> context,
+        ApiFuture<ListAnnotationsResponse> futureResponse) {
+      ApiFuture<ListAnnotationsPage> futurePage =
+          ListAnnotationsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListAnnotationsPage, ListAnnotationsPagedResponse>() {
+            @Override
+            public ListAnnotationsPagedResponse apply(ListAnnotationsPage input) {
+              return new ListAnnotationsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListAnnotationsPagedResponse(ListAnnotationsPage page) {
+      super(page, ListAnnotationsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListAnnotationsPage
+      extends AbstractPage<
+          ListAnnotationsRequest, ListAnnotationsResponse, Annotation, ListAnnotationsPage> {
+
+    private ListAnnotationsPage(
+        PageContext<ListAnnotationsRequest, ListAnnotationsResponse, Annotation> context,
+        ListAnnotationsResponse response) {
+      super(context, response);
+    }
+
+    private static ListAnnotationsPage createEmptyPage() {
+      return new ListAnnotationsPage(null, null);
+    }
+
+    @Override
+    protected ListAnnotationsPage createPage(
+        PageContext<ListAnnotationsRequest, ListAnnotationsResponse, Annotation> context,
+        ListAnnotationsResponse response) {
+      return new ListAnnotationsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListAnnotationsPage> createPageAsync(
+        PageContext<ListAnnotationsRequest, ListAnnotationsResponse, Annotation> context,
+        ApiFuture<ListAnnotationsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListAnnotationsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListAnnotationsRequest,
+          ListAnnotationsResponse,
+          Annotation,
+          ListAnnotationsPage,
+          ListAnnotationsFixedSizeCollection> {
+
+    private ListAnnotationsFixedSizeCollection(
+        List<ListAnnotationsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListAnnotationsFixedSizeCollection createEmptyCollection() {
+      return new ListAnnotationsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListAnnotationsFixedSizeCollection createCollection(
+        List<ListAnnotationsPage> pages, int collectionSize) {
+      return new ListAnnotationsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceSettings.java
new file mode 100644
index 000000000..31e905828
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceSettings.java
@@ -0,0 +1,342 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDataItemsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientSettings;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.stub.DatasetServiceStubSettings;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link DatasetServiceClient}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of getDataset to 30 seconds:
+ *
+ * <pre>{@code
+ * DatasetServiceSettings.Builder datasetServiceSettingsBuilder =
+ *     DatasetServiceSettings.newBuilder();
+ * datasetServiceSettingsBuilder
+ *     .getDatasetSettings()
+ *     .setRetrySettings(
+ *         datasetServiceSettingsBuilder
+ *             .getDatasetSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * DatasetServiceSettings datasetServiceSettings = datasetServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class DatasetServiceSettings extends ClientSettings<DatasetServiceSettings> {
+
+  /** Returns the object with the settings used for calls to createDataset. */
+  public UnaryCallSettings<CreateDatasetRequest, Operation> createDatasetSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).createDatasetSettings();
+  }
+
+  /** Returns the object with the settings used for calls to createDataset. */
+  public OperationCallSettings<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+      createDatasetOperationSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).createDatasetOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getDataset. */
+  public UnaryCallSettings<GetDatasetRequest, Dataset> getDatasetSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).getDatasetSettings();
+  }
+
+  /** Returns the object with the settings used for calls to updateDataset. */
+  public UnaryCallSettings<UpdateDatasetRequest, Dataset> updateDatasetSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).updateDatasetSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listDatasets. */
+  public PagedCallSettings<ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>
+      listDatasetsSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).listDatasetsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteDataset. */
+  public UnaryCallSettings<DeleteDatasetRequest, Operation> deleteDatasetSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).deleteDatasetSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteDataset. */
+  public OperationCallSettings<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+      deleteDatasetOperationSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).deleteDatasetOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to importData. */
+  public UnaryCallSettings<ImportDataRequest, Operation> importDataSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).importDataSettings();
+  }
+
+  /** Returns the object with the settings used for calls to importData. */
+  public OperationCallSettings<ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+      importDataOperationSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).importDataOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to exportData. */
+  public UnaryCallSettings<ExportDataRequest, Operation> exportDataSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).exportDataSettings();
+  }
+
+  /** Returns the object with the settings used for calls to exportData. */
+  public OperationCallSettings<ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+      exportDataOperationSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).exportDataOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listDataItems. */
+  public PagedCallSettings<ListDataItemsRequest, ListDataItemsResponse, ListDataItemsPagedResponse>
+      listDataItemsSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).listDataItemsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getAnnotationSpec. */
+  public UnaryCallSettings<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).getAnnotationSpecSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listAnnotations. */
+  public PagedCallSettings<
+          ListAnnotationsRequest, ListAnnotationsResponse, ListAnnotationsPagedResponse>
+      listAnnotationsSettings() {
+    return ((DatasetServiceStubSettings) getStubSettings()).listAnnotationsSettings();
+  }
+
+  public static final DatasetServiceSettings create(DatasetServiceStubSettings stub)
+      throws IOException {
+    return new DatasetServiceSettings.Builder(stub.toBuilder()).build();
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return DatasetServiceStubSettings.defaultExecutorProviderBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return DatasetServiceStubSettings.getDefaultEndpoint();
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DatasetServiceStubSettings.getDefaultServiceScopes();
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return DatasetServiceStubSettings.defaultCredentialsProviderBuilder();
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return DatasetServiceStubSettings.defaultGrpcTransportProviderBuilder();
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return DatasetServiceStubSettings.defaultTransportChannelProvider();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return DatasetServiceStubSettings.defaultApiClientHeaderProviderBuilder();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected DatasetServiceSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+  }
+
+  /** Builder for DatasetServiceSettings. */
+  public static class Builder extends ClientSettings.Builder<DatasetServiceSettings, Builder> {
+
+    protected Builder() throws IOException {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(DatasetServiceStubSettings.newBuilder(clientContext));
+    }
+
+    protected Builder(DatasetServiceSettings settings) {
+      super(settings.getStubSettings().toBuilder());
+    }
+
+    protected Builder(DatasetServiceStubSettings.Builder stubSettings) {
+      super(stubSettings);
+    }
+
+    private static Builder createDefault() {
+      return new Builder(DatasetServiceStubSettings.newBuilder());
+    }
+
+    public DatasetServiceStubSettings.Builder getStubSettingsBuilder() {
+      return ((DatasetServiceStubSettings.Builder) getStubSettings());
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(
+          getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater);
+      return this;
+    }
+
+    /** Returns the builder for the settings used for calls to createDataset. */
+    public UnaryCallSettings.Builder<CreateDatasetRequest, Operation> createDatasetSettings() {
+      return getStubSettingsBuilder().createDatasetSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to createDataset. */
+    public OperationCallSettings.Builder<
+            CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+        createDatasetOperationSettings() {
+      return getStubSettingsBuilder().createDatasetOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getDataset. */
+    public UnaryCallSettings.Builder<GetDatasetRequest, Dataset> getDatasetSettings() {
+      return getStubSettingsBuilder().getDatasetSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to updateDataset. */
+    public UnaryCallSettings.Builder<UpdateDatasetRequest, Dataset> updateDatasetSettings() {
+      return getStubSettingsBuilder().updateDatasetSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listDatasets. */
+    public PagedCallSettings.Builder<
+            ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>
+        listDatasetsSettings() {
+      return getStubSettingsBuilder().listDatasetsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteDataset. */
+    public UnaryCallSettings.Builder<DeleteDatasetRequest, Operation> deleteDatasetSettings() {
+      return getStubSettingsBuilder().deleteDatasetSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteDataset. */
+    public OperationCallSettings.Builder<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+        deleteDatasetOperationSettings() {
+      return getStubSettingsBuilder().deleteDatasetOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to importData. */
+    public UnaryCallSettings.Builder<ImportDataRequest, Operation> importDataSettings() {
+      return getStubSettingsBuilder().importDataSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to importData. */
+    public OperationCallSettings.Builder<
+            ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+        importDataOperationSettings() {
+      return getStubSettingsBuilder().importDataOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to exportData. */
+    public UnaryCallSettings.Builder<ExportDataRequest, Operation> exportDataSettings() {
+      return getStubSettingsBuilder().exportDataSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to exportData. */
+    public OperationCallSettings.Builder<
+            ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+        exportDataOperationSettings() {
+      return getStubSettingsBuilder().exportDataOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listDataItems. */
+    public PagedCallSettings.Builder<
+            ListDataItemsRequest, ListDataItemsResponse, ListDataItemsPagedResponse>
+        listDataItemsSettings() {
+      return getStubSettingsBuilder().listDataItemsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getAnnotationSpec. */
+    public UnaryCallSettings.Builder<GetAnnotationSpecRequest, AnnotationSpec>
+        getAnnotationSpecSettings() {
+      return getStubSettingsBuilder().getAnnotationSpecSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listAnnotations. */
+    public PagedCallSettings.Builder<
+            ListAnnotationsRequest, ListAnnotationsResponse, ListAnnotationsPagedResponse>
+        listAnnotationsSettings() {
+      return getStubSettingsBuilder().listAnnotationsSettings();
+    }
+
+    @Override
+    public DatasetServiceSettings build() throws IOException {
+      return new DatasetServiceSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceClient.java
new file mode 100644
index 000000000..32a714218
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceClient.java
@@ -0,0 +1,739 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.ApiFutures;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.api.gax.paging.AbstractFixedSizeCollection;
+import com.google.api.gax.paging.AbstractPage;
+import com.google.api.gax.paging.AbstractPagedListResponse;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.stub.EndpointServiceStub;
+import com.google.cloud.aiplatform.v1.stub.EndpointServiceStubSettings;
+import com.google.common.util.concurrent.MoreExecutors;
+import com.google.longrunning.Operation;
+import com.google.longrunning.OperationsClient;
+import com.google.protobuf.Empty;
+import com.google.protobuf.FieldMask;
+import java.io.IOException;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * This class provides the ability to make remote calls to the backing service through method calls
+ * that map to API methods. Sample code to get started:
+ *
+ * <p>Note: close() needs to be called on the EndpointServiceClient object to clean up resources
+ * such as threads. In the example above, try-with-resources is used, which automatically calls
+ * close().
+ *
+ * <p>The surface of this class includes several types of Java methods for each of the API's
+ * methods:
+ *
+ * <ol>
+ *   <li>A "flattened" method. With this type of method, the fields of the request type have been
+ *       converted into function parameters. It may be the case that not all fields are available as
+ *       parameters, and not every API method will have a flattened method entry point.
+ *   <li>A "request object" method. This type of method only takes one parameter, a request object,
+ *       which must be constructed before the call. Not every API method will have a request object
+ *       method.
+ *   <li>A "callable" method. This type of method takes no parameters and returns an immutable API
+ *       callable object, which can be used to initiate calls to the service.
+ * </ol>
+ *
+ * <p>See the individual methods for example code.
+ *
+ * <p>Many parameters require resource names to be formatted in a particular way. To assist with
+ * these names, this class includes a format method for each type of name, and additionally a parse
+ * method to extract the individual identifiers contained within names that are returned.
+ *
+ * <p>This class can be customized by passing in a custom instance of EndpointServiceSettings to
+ * create(). For example:
+ *
+ * <p>To customize credentials:
+ *
+ * <pre>{@code
+ * EndpointServiceSettings endpointServiceSettings =
+ *     EndpointServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * EndpointServiceClient endpointServiceClient =
+ *     EndpointServiceClient.create(endpointServiceSettings);
+ * }</pre>
+ *
+ * <p>To customize the endpoint:
+ *
+ * <pre>{@code
+ * EndpointServiceSettings endpointServiceSettings =
+ *     EndpointServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * EndpointServiceClient endpointServiceClient =
+ *     EndpointServiceClient.create(endpointServiceSettings);
+ * }</pre>
+ *
+ * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
+ */
+@Generated("by gapic-generator-java")
+public class EndpointServiceClient implements BackgroundResource {
+  private final EndpointServiceSettings settings;
+  private final EndpointServiceStub stub;
+  private final OperationsClient operationsClient;
+
+  /** Constructs an instance of EndpointServiceClient with default settings. */
+  public static final EndpointServiceClient create() throws IOException {
+    return create(EndpointServiceSettings.newBuilder().build());
+  }
+
+  /**
+   * Constructs an instance of EndpointServiceClient, using the given settings. The channels are
+   * created based on the settings passed in, or defaults for any settings that are not set.
+   */
+  public static final EndpointServiceClient create(EndpointServiceSettings settings)
+      throws IOException {
+    return new EndpointServiceClient(settings);
+  }
+
+  /**
+   * Constructs an instance of EndpointServiceClient, using the given stub for making calls. This is
+   * for advanced usage - prefer using create(EndpointServiceSettings).
+   */
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public static final EndpointServiceClient create(EndpointServiceStub stub) {
+    return new EndpointServiceClient(stub);
+  }
+
+  /**
+   * Constructs an instance of EndpointServiceClient, using the given settings. This is protected so
+   * that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected EndpointServiceClient(EndpointServiceSettings settings) throws IOException {
+    this.settings = settings;
+    this.stub = ((EndpointServiceStubSettings) settings.getStubSettings()).createStub();
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  protected EndpointServiceClient(EndpointServiceStub stub) {
+    this.settings = null;
+    this.stub = stub;
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  public final EndpointServiceSettings getSettings() {
+    return settings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public EndpointServiceStub getStub() {
+    return stub;
+  }
+
+  /**
+   * Returns the OperationsClient that can be used to query the status of a long-running operation
+   * returned by another API method call.
+   */
+  public final OperationsClient getOperationsClient() {
+    return operationsClient;
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates an Endpoint.
+   *
+   * @param parent Required. The resource name of the Location to create the Endpoint in. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param endpoint Required. The Endpoint to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Endpoint, CreateEndpointOperationMetadata> createEndpointAsync(
+      LocationName parent, Endpoint endpoint) {
+    CreateEndpointRequest request =
+        CreateEndpointRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setEndpoint(endpoint)
+            .build();
+    return createEndpointAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates an Endpoint.
+   *
+   * @param parent Required. The resource name of the Location to create the Endpoint in. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param endpoint Required. The Endpoint to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Endpoint, CreateEndpointOperationMetadata> createEndpointAsync(
+      String parent, Endpoint endpoint) {
+    CreateEndpointRequest request =
+        CreateEndpointRequest.newBuilder().setParent(parent).setEndpoint(endpoint).build();
+    return createEndpointAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates an Endpoint.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Endpoint, CreateEndpointOperationMetadata> createEndpointAsync(
+      CreateEndpointRequest request) {
+    return createEndpointOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates an Endpoint.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+      createEndpointOperationCallable() {
+    return stub.createEndpointOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates an Endpoint.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CreateEndpointRequest, Operation> createEndpointCallable() {
+    return stub.createEndpointCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets an Endpoint.
+   *
+   * @param name Required. The name of the Endpoint resource. Format:
+   *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Endpoint getEndpoint(EndpointName name) {
+    GetEndpointRequest request =
+        GetEndpointRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    return getEndpoint(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets an Endpoint.
+   *
+   * @param name Required. The name of the Endpoint resource. Format:
+   *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Endpoint getEndpoint(String name) {
+    GetEndpointRequest request = GetEndpointRequest.newBuilder().setName(name).build();
+    return getEndpoint(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets an Endpoint.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Endpoint getEndpoint(GetEndpointRequest request) {
+    return getEndpointCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets an Endpoint.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetEndpointRequest, Endpoint> getEndpointCallable() {
+    return stub.getEndpointCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Endpoints in a Location.
+   *
+   * @param parent Required. The resource name of the Location from which to list the Endpoints.
+   *     Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListEndpointsPagedResponse listEndpoints(LocationName parent) {
+    ListEndpointsRequest request =
+        ListEndpointsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listEndpoints(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Endpoints in a Location.
+   *
+   * @param parent Required. The resource name of the Location from which to list the Endpoints.
+   *     Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListEndpointsPagedResponse listEndpoints(String parent) {
+    ListEndpointsRequest request = ListEndpointsRequest.newBuilder().setParent(parent).build();
+    return listEndpoints(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Endpoints in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListEndpointsPagedResponse listEndpoints(ListEndpointsRequest request) {
+    return listEndpointsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Endpoints in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListEndpointsRequest, ListEndpointsPagedResponse>
+      listEndpointsPagedCallable() {
+    return stub.listEndpointsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Endpoints in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndpointsCallable() {
+    return stub.listEndpointsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates an Endpoint.
+   *
+   * @param endpoint Required. The Endpoint which replaces the resource on the server.
+   * @param updateMask Required. The update mask applies to the resource. See
+   *     [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Endpoint updateEndpoint(Endpoint endpoint, FieldMask updateMask) {
+    UpdateEndpointRequest request =
+        UpdateEndpointRequest.newBuilder().setEndpoint(endpoint).setUpdateMask(updateMask).build();
+    return updateEndpoint(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates an Endpoint.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Endpoint updateEndpoint(UpdateEndpointRequest request) {
+    return updateEndpointCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates an Endpoint.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<UpdateEndpointRequest, Endpoint> updateEndpointCallable() {
+    return stub.updateEndpointCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes an Endpoint.
+   *
+   * @param name Required. The name of the Endpoint resource to be deleted. Format:
+   *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteEndpointAsync(
+      EndpointName name) {
+    DeleteEndpointRequest request =
+        DeleteEndpointRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    return deleteEndpointAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes an Endpoint.
+   *
+   * @param name Required. The name of the Endpoint resource to be deleted. Format:
+   *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteEndpointAsync(String name) {
+    DeleteEndpointRequest request = DeleteEndpointRequest.newBuilder().setName(name).build();
+    return deleteEndpointAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes an Endpoint.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteEndpointAsync(
+      DeleteEndpointRequest request) {
+    return deleteEndpointOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes an Endpoint.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+      deleteEndpointOperationCallable() {
+    return stub.deleteEndpointOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes an Endpoint.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteEndpointRequest, Operation> deleteEndpointCallable() {
+    return stub.deleteEndpointCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+   *
+   * @param endpoint Required. The name of the Endpoint resource into which to deploy a Model.
+   *     Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @param deployedModel Required. The DeployedModel to be created within the Endpoint. Note that
+   *     [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated
+   *     for the DeployedModel to start receiving traffic, either as part of this call, or via
+   *     [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * @param trafficSplit A map from a DeployedModel's ID to the percentage of this Endpoint's
+   *     traffic that should be forwarded to that DeployedModel.
+   *     <p>If this field is non-empty, then the Endpoint's
+   *     [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with
+   *     it. To refer to the ID of the just being deployed Model, a "0" should be used, and the
+   *     actual ID of the new DeployedModel will be filled in its place by this method. The traffic
+   *     percentage values must add up to 100.
+   *     <p>If this field is empty, then the Endpoint's
+   *     [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<DeployModelResponse, DeployModelOperationMetadata> deployModelAsync(
+      EndpointName endpoint, DeployedModel deployedModel, Map<String, Integer> trafficSplit) {
+    DeployModelRequest request =
+        DeployModelRequest.newBuilder()
+            .setEndpoint(endpoint == null ? null : endpoint.toString())
+            .setDeployedModel(deployedModel)
+            .putAllTrafficSplit(trafficSplit)
+            .build();
+    return deployModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+   *
+   * @param endpoint Required. The name of the Endpoint resource into which to deploy a Model.
+   *     Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @param deployedModel Required. The DeployedModel to be created within the Endpoint. Note that
+   *     [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated
+   *     for the DeployedModel to start receiving traffic, either as part of this call, or via
+   *     [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * @param trafficSplit A map from a DeployedModel's ID to the percentage of this Endpoint's
+   *     traffic that should be forwarded to that DeployedModel.
+   *     <p>If this field is non-empty, then the Endpoint's
+   *     [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with
+   *     it. To refer to the ID of the just being deployed Model, a "0" should be used, and the
+   *     actual ID of the new DeployedModel will be filled in its place by this method. The traffic
+   *     percentage values must add up to 100.
+   *     <p>If this field is empty, then the Endpoint's
+   *     [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<DeployModelResponse, DeployModelOperationMetadata> deployModelAsync(
+      String endpoint, DeployedModel deployedModel, Map<String, Integer> trafficSplit) {
+    DeployModelRequest request =
+        DeployModelRequest.newBuilder()
+            .setEndpoint(endpoint)
+            .setDeployedModel(deployedModel)
+            .putAllTrafficSplit(trafficSplit)
+            .build();
+    return deployModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<DeployModelResponse, DeployModelOperationMetadata> deployModelAsync(
+      DeployModelRequest request) {
+    return deployModelOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<
+          DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+      deployModelOperationCallable() {
+    return stub.deployModelOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeployModelRequest, Operation> deployModelCallable() {
+    return stub.deployModelCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources
+   * it's using.
+   *
+   * @param endpoint Required. The name of the Endpoint resource from which to undeploy a Model.
+   *     Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @param deployedModelId Required. The ID of the DeployedModel to be undeployed from the
+   *     Endpoint.
+   * @param trafficSplit If this field is provided, then the Endpoint's
+   *     [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with
+   *     it. If last DeployedModel is being undeployed from the Endpoint, the
+   *     [Endpoint.traffic_split] will always end up empty when this call returns. A DeployedModel
+   *     will be successfully undeployed only if it doesn't have any traffic assigned to it when
+   *     this method executes, or if this field unassigns any traffic to it.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelAsync(
+          EndpointName endpoint, String deployedModelId, Map<String, Integer> trafficSplit) {
+    UndeployModelRequest request =
+        UndeployModelRequest.newBuilder()
+            .setEndpoint(endpoint == null ? null : endpoint.toString())
+            .setDeployedModelId(deployedModelId)
+            .putAllTrafficSplit(trafficSplit)
+            .build();
+    return undeployModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources
+   * it's using.
+   *
+   * @param endpoint Required. The name of the Endpoint resource from which to undeploy a Model.
+   *     Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @param deployedModelId Required. The ID of the DeployedModel to be undeployed from the
+   *     Endpoint.
+   * @param trafficSplit If this field is provided, then the Endpoint's
+   *     [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with
+   *     it. If last DeployedModel is being undeployed from the Endpoint, the
+   *     [Endpoint.traffic_split] will always end up empty when this call returns. A DeployedModel
+   *     will be successfully undeployed only if it doesn't have any traffic assigned to it when
+   *     this method executes, or if this field unassigns any traffic to it.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelAsync(
+          String endpoint, String deployedModelId, Map<String, Integer> trafficSplit) {
+    UndeployModelRequest request =
+        UndeployModelRequest.newBuilder()
+            .setEndpoint(endpoint)
+            .setDeployedModelId(deployedModelId)
+            .putAllTrafficSplit(trafficSplit)
+            .build();
+    return undeployModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources
+   * it's using.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelAsync(UndeployModelRequest request) {
+    return undeployModelOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources
+   * it's using.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<
+          UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelOperationCallable() {
+    return stub.undeployModelOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources
+   * it's using.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<UndeployModelRequest, Operation> undeployModelCallable() {
+    return stub.undeployModelCallable();
+  }
+
+  @Override
+  public final void close() {
+    stub.close();
+  }
+
+  @Override
+  public void shutdown() {
+    stub.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return stub.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return stub.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    stub.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return stub.awaitTermination(duration, unit);
+  }
+
+  public static class ListEndpointsPagedResponse
+      extends AbstractPagedListResponse<
+          ListEndpointsRequest,
+          ListEndpointsResponse,
+          Endpoint,
+          ListEndpointsPage,
+          ListEndpointsFixedSizeCollection> {
+
+    public static ApiFuture<ListEndpointsPagedResponse> createAsync(
+        PageContext<ListEndpointsRequest, ListEndpointsResponse, Endpoint> context,
+        ApiFuture<ListEndpointsResponse> futureResponse) {
+      ApiFuture<ListEndpointsPage> futurePage =
+          ListEndpointsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListEndpointsPage, ListEndpointsPagedResponse>() {
+            @Override
+            public ListEndpointsPagedResponse apply(ListEndpointsPage input) {
+              return new ListEndpointsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListEndpointsPagedResponse(ListEndpointsPage page) {
+      super(page, ListEndpointsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListEndpointsPage
+      extends AbstractPage<
+          ListEndpointsRequest, ListEndpointsResponse, Endpoint, ListEndpointsPage> {
+
+    private ListEndpointsPage(
+        PageContext<ListEndpointsRequest, ListEndpointsResponse, Endpoint> context,
+        ListEndpointsResponse response) {
+      super(context, response);
+    }
+
+    private static ListEndpointsPage createEmptyPage() {
+      return new ListEndpointsPage(null, null);
+    }
+
+    @Override
+    protected ListEndpointsPage createPage(
+        PageContext<ListEndpointsRequest, ListEndpointsResponse, Endpoint> context,
+        ListEndpointsResponse response) {
+      return new ListEndpointsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListEndpointsPage> createPageAsync(
+        PageContext<ListEndpointsRequest, ListEndpointsResponse, Endpoint> context,
+        ApiFuture<ListEndpointsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListEndpointsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListEndpointsRequest,
+          ListEndpointsResponse,
+          Endpoint,
+          ListEndpointsPage,
+          ListEndpointsFixedSizeCollection> {
+
+    private ListEndpointsFixedSizeCollection(List<ListEndpointsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListEndpointsFixedSizeCollection createEmptyCollection() {
+      return new ListEndpointsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListEndpointsFixedSizeCollection createCollection(
+        List<ListEndpointsPage> pages, int collectionSize) {
+      return new ListEndpointsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceSettings.java
new file mode 100644
index 000000000..533f2f4b4
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceSettings.java
@@ -0,0 +1,304 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.EndpointServiceClient.ListEndpointsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientSettings;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.stub.EndpointServiceStubSettings;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link EndpointServiceClient}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of getEndpoint to 30 seconds:
+ *
+ * <pre>{@code
+ * EndpointServiceSettings.Builder endpointServiceSettingsBuilder =
+ *     EndpointServiceSettings.newBuilder();
+ * endpointServiceSettingsBuilder
+ *     .getEndpointSettings()
+ *     .setRetrySettings(
+ *         endpointServiceSettingsBuilder
+ *             .getEndpointSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * EndpointServiceSettings endpointServiceSettings = endpointServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class EndpointServiceSettings extends ClientSettings<EndpointServiceSettings> {
+
+  /** Returns the object with the settings used for calls to createEndpoint. */
+  public UnaryCallSettings<CreateEndpointRequest, Operation> createEndpointSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).createEndpointSettings();
+  }
+
+  /** Returns the object with the settings used for calls to createEndpoint. */
+  public OperationCallSettings<CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+      createEndpointOperationSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).createEndpointOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getEndpoint. */
+  public UnaryCallSettings<GetEndpointRequest, Endpoint> getEndpointSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).getEndpointSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listEndpoints. */
+  public PagedCallSettings<ListEndpointsRequest, ListEndpointsResponse, ListEndpointsPagedResponse>
+      listEndpointsSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).listEndpointsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to updateEndpoint. */
+  public UnaryCallSettings<UpdateEndpointRequest, Endpoint> updateEndpointSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).updateEndpointSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteEndpoint. */
+  public UnaryCallSettings<DeleteEndpointRequest, Operation> deleteEndpointSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).deleteEndpointSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteEndpoint. */
+  public OperationCallSettings<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+      deleteEndpointOperationSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).deleteEndpointOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deployModel. */
+  public UnaryCallSettings<DeployModelRequest, Operation> deployModelSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).deployModelSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deployModel. */
+  public OperationCallSettings<
+          DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+      deployModelOperationSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).deployModelOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to undeployModel. */
+  public UnaryCallSettings<UndeployModelRequest, Operation> undeployModelSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).undeployModelSettings();
+  }
+
+  /** Returns the object with the settings used for calls to undeployModel. */
+  public OperationCallSettings<
+          UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelOperationSettings() {
+    return ((EndpointServiceStubSettings) getStubSettings()).undeployModelOperationSettings();
+  }
+
+  public static final EndpointServiceSettings create(EndpointServiceStubSettings stub)
+      throws IOException {
+    return new EndpointServiceSettings.Builder(stub.toBuilder()).build();
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return EndpointServiceStubSettings.defaultExecutorProviderBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return EndpointServiceStubSettings.getDefaultEndpoint();
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return EndpointServiceStubSettings.getDefaultServiceScopes();
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return EndpointServiceStubSettings.defaultCredentialsProviderBuilder();
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return EndpointServiceStubSettings.defaultGrpcTransportProviderBuilder();
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return EndpointServiceStubSettings.defaultTransportChannelProvider();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return EndpointServiceStubSettings.defaultApiClientHeaderProviderBuilder();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected EndpointServiceSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+  }
+
+  /** Builder for EndpointServiceSettings. */
+  public static class Builder extends ClientSettings.Builder<EndpointServiceSettings, Builder> {
+
+    protected Builder() throws IOException {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(EndpointServiceStubSettings.newBuilder(clientContext));
+    }
+
+    protected Builder(EndpointServiceSettings settings) {
+      super(settings.getStubSettings().toBuilder());
+    }
+
+    protected Builder(EndpointServiceStubSettings.Builder stubSettings) {
+      super(stubSettings);
+    }
+
+    private static Builder createDefault() {
+      return new Builder(EndpointServiceStubSettings.newBuilder());
+    }
+
+    public EndpointServiceStubSettings.Builder getStubSettingsBuilder() {
+      return ((EndpointServiceStubSettings.Builder) getStubSettings());
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(
+          getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater);
+      return this;
+    }
+
+    /** Returns the builder for the settings used for calls to createEndpoint. */
+    public UnaryCallSettings.Builder<CreateEndpointRequest, Operation> createEndpointSettings() {
+      return getStubSettingsBuilder().createEndpointSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to createEndpoint. */
+    public OperationCallSettings.Builder<
+            CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+        createEndpointOperationSettings() {
+      return getStubSettingsBuilder().createEndpointOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getEndpoint. */
+    public UnaryCallSettings.Builder<GetEndpointRequest, Endpoint> getEndpointSettings() {
+      return getStubSettingsBuilder().getEndpointSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listEndpoints. */
+    public PagedCallSettings.Builder<
+            ListEndpointsRequest, ListEndpointsResponse, ListEndpointsPagedResponse>
+        listEndpointsSettings() {
+      return getStubSettingsBuilder().listEndpointsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to updateEndpoint. */
+    public UnaryCallSettings.Builder<UpdateEndpointRequest, Endpoint> updateEndpointSettings() {
+      return getStubSettingsBuilder().updateEndpointSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteEndpoint. */
+    public UnaryCallSettings.Builder<DeleteEndpointRequest, Operation> deleteEndpointSettings() {
+      return getStubSettingsBuilder().deleteEndpointSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteEndpoint. */
+    public OperationCallSettings.Builder<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+        deleteEndpointOperationSettings() {
+      return getStubSettingsBuilder().deleteEndpointOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deployModel. */
+    public UnaryCallSettings.Builder<DeployModelRequest, Operation> deployModelSettings() {
+      return getStubSettingsBuilder().deployModelSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deployModel. */
+    public OperationCallSettings.Builder<
+            DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+        deployModelOperationSettings() {
+      return getStubSettingsBuilder().deployModelOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to undeployModel. */
+    public UnaryCallSettings.Builder<UndeployModelRequest, Operation> undeployModelSettings() {
+      return getStubSettingsBuilder().undeployModelSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to undeployModel. */
+    public OperationCallSettings.Builder<
+            UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+        undeployModelOperationSettings() {
+      return getStubSettingsBuilder().undeployModelOperationSettings();
+    }
+
+    @Override
+    public EndpointServiceSettings build() throws IOException {
+      return new EndpointServiceSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceClient.java
new file mode 100644
index 000000000..28ea8877f
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceClient.java
@@ -0,0 +1,1828 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.ApiFutures;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.api.gax.paging.AbstractFixedSizeCollection;
+import com.google.api.gax.paging.AbstractPage;
+import com.google.api.gax.paging.AbstractPagedListResponse;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.stub.JobServiceStub;
+import com.google.cloud.aiplatform.v1.stub.JobServiceStubSettings;
+import com.google.common.util.concurrent.MoreExecutors;
+import com.google.longrunning.Operation;
+import com.google.longrunning.OperationsClient;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Service Description: A service for creating and managing AI Platform's jobs.
+ *
+ * <p>This class provides the ability to make remote calls to the backing service through method
+ * calls that map to API methods. Sample code to get started:
+ *
+ * <p>Note: close() needs to be called on the JobServiceClient object to clean up resources such as
+ * threads. In the example above, try-with-resources is used, which automatically calls close().
+ *
+ * <p>The surface of this class includes several types of Java methods for each of the API's
+ * methods:
+ *
+ * <ol>
+ *   <li>A "flattened" method. With this type of method, the fields of the request type have been
+ *       converted into function parameters. It may be the case that not all fields are available as
+ *       parameters, and not every API method will have a flattened method entry point.
+ *   <li>A "request object" method. This type of method only takes one parameter, a request object,
+ *       which must be constructed before the call. Not every API method will have a request object
+ *       method.
+ *   <li>A "callable" method. This type of method takes no parameters and returns an immutable API
+ *       callable object, which can be used to initiate calls to the service.
+ * </ol>
+ *
+ * <p>See the individual methods for example code.
+ *
+ * <p>Many parameters require resource names to be formatted in a particular way. To assist with
+ * these names, this class includes a format method for each type of name, and additionally a parse
+ * method to extract the individual identifiers contained within names that are returned.
+ *
+ * <p>This class can be customized by passing in a custom instance of JobServiceSettings to
+ * create(). For example:
+ *
+ * <p>To customize credentials:
+ *
+ * <pre>{@code
+ * JobServiceSettings jobServiceSettings =
+ *     JobServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings);
+ * }</pre>
+ *
+ * <p>To customize the endpoint:
+ *
+ * <pre>{@code
+ * JobServiceSettings jobServiceSettings =
+ *     JobServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings);
+ * }</pre>
+ *
+ * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
+ */
+@Generated("by gapic-generator-java")
+public class JobServiceClient implements BackgroundResource {
+  private final JobServiceSettings settings;
+  private final JobServiceStub stub;
+  private final OperationsClient operationsClient;
+
+  /** Constructs an instance of JobServiceClient with default settings. */
+  public static final JobServiceClient create() throws IOException {
+    return create(JobServiceSettings.newBuilder().build());
+  }
+
+  /**
+   * Constructs an instance of JobServiceClient, using the given settings. The channels are created
+   * based on the settings passed in, or defaults for any settings that are not set.
+   */
+  public static final JobServiceClient create(JobServiceSettings settings) throws IOException {
+    return new JobServiceClient(settings);
+  }
+
+  /**
+   * Constructs an instance of JobServiceClient, using the given stub for making calls. This is for
+   * advanced usage - prefer using create(JobServiceSettings).
+   */
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public static final JobServiceClient create(JobServiceStub stub) {
+    return new JobServiceClient(stub);
+  }
+
+  /**
+   * Constructs an instance of JobServiceClient, using the given settings. This is protected so that
+   * it is easy to make a subclass, but otherwise, the static factory methods should be preferred.
+   */
+  protected JobServiceClient(JobServiceSettings settings) throws IOException {
+    this.settings = settings;
+    this.stub = ((JobServiceStubSettings) settings.getStubSettings()).createStub();
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  protected JobServiceClient(JobServiceStub stub) {
+    this.settings = null;
+    this.stub = stub;
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  public final JobServiceSettings getSettings() {
+    return settings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public JobServiceStub getStub() {
+    return stub;
+  }
+
+  /**
+   * Returns the OperationsClient that can be used to query the status of a long-running operation
+   * returned by another API method call.
+   */
+  public final OperationsClient getOperationsClient() {
+    return operationsClient;
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a CustomJob. A created CustomJob right away will be attempted to be run.
+   *
+   * @param parent Required. The resource name of the Location to create the CustomJob in. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param customJob Required. The CustomJob to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final CustomJob createCustomJob(LocationName parent, CustomJob customJob) {
+    CreateCustomJobRequest request =
+        CreateCustomJobRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setCustomJob(customJob)
+            .build();
+    return createCustomJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a CustomJob. A created CustomJob right away will be attempted to be run.
+   *
+   * @param parent Required. The resource name of the Location to create the CustomJob in. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param customJob Required. The CustomJob to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final CustomJob createCustomJob(String parent, CustomJob customJob) {
+    CreateCustomJobRequest request =
+        CreateCustomJobRequest.newBuilder().setParent(parent).setCustomJob(customJob).build();
+    return createCustomJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a CustomJob. A created CustomJob right away will be attempted to be run.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final CustomJob createCustomJob(CreateCustomJobRequest request) {
+    return createCustomJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a CustomJob. A created CustomJob right away will be attempted to be run.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CreateCustomJobRequest, CustomJob> createCustomJobCallable() {
+    return stub.createCustomJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a CustomJob.
+   *
+   * @param name Required. The name of the CustomJob resource. Format:
+   *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final CustomJob getCustomJob(CustomJobName name) {
+    GetCustomJobRequest request =
+        GetCustomJobRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    return getCustomJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a CustomJob.
+   *
+   * @param name Required. The name of the CustomJob resource. Format:
+   *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final CustomJob getCustomJob(String name) {
+    GetCustomJobRequest request = GetCustomJobRequest.newBuilder().setName(name).build();
+    return getCustomJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a CustomJob.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final CustomJob getCustomJob(GetCustomJobRequest request) {
+    return getCustomJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a CustomJob.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetCustomJobRequest, CustomJob> getCustomJobCallable() {
+    return stub.getCustomJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists CustomJobs in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the CustomJobs from. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListCustomJobsPagedResponse listCustomJobs(LocationName parent) {
+    ListCustomJobsRequest request =
+        ListCustomJobsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listCustomJobs(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists CustomJobs in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the CustomJobs from. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListCustomJobsPagedResponse listCustomJobs(String parent) {
+    ListCustomJobsRequest request = ListCustomJobsRequest.newBuilder().setParent(parent).build();
+    return listCustomJobs(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists CustomJobs in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListCustomJobsPagedResponse listCustomJobs(ListCustomJobsRequest request) {
+    return listCustomJobsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists CustomJobs in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListCustomJobsRequest, ListCustomJobsPagedResponse>
+      listCustomJobsPagedCallable() {
+    return stub.listCustomJobsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists CustomJobs in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListCustomJobsRequest, ListCustomJobsResponse>
+      listCustomJobsCallable() {
+    return stub.listCustomJobsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a CustomJob.
+   *
+   * @param name Required. The name of the CustomJob resource to be deleted. Format:
+   *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteCustomJobAsync(
+      CustomJobName name) {
+    DeleteCustomJobRequest request =
+        DeleteCustomJobRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    return deleteCustomJobAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a CustomJob.
+   *
+   * @param name Required. The name of the CustomJob resource to be deleted. Format:
+   *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteCustomJobAsync(String name) {
+    DeleteCustomJobRequest request = DeleteCustomJobRequest.newBuilder().setName(name).build();
+    return deleteCustomJobAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a CustomJob.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteCustomJobAsync(
+      DeleteCustomJobRequest request) {
+    return deleteCustomJobOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a CustomJob.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+      deleteCustomJobOperationCallable() {
+    return stub.deleteCustomJobOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a CustomJob.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteCustomJobRequest, Operation> deleteCustomJobCallable() {
+    return stub.deleteCustomJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The server makes a best
+   * effort to cancel the job, but success is not guaranteed. Clients can use
+   * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or other methods
+   * to check whether the cancellation succeeded or whether the job completed despite cancellation.
+   * On successful cancellation, the CustomJob is not deleted; instead it becomes a job with a
+   * [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a
+   * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
+   * [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to `CANCELLED`.
+   *
+   * @param name Required. The name of the CustomJob to cancel. Format:
+   *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelCustomJob(CustomJobName name) {
+    CancelCustomJobRequest request =
+        CancelCustomJobRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    cancelCustomJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The server makes a best
+   * effort to cancel the job, but success is not guaranteed. Clients can use
+   * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or other methods
+   * to check whether the cancellation succeeded or whether the job completed despite cancellation.
+   * On successful cancellation, the CustomJob is not deleted; instead it becomes a job with a
+   * [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a
+   * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
+   * [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to `CANCELLED`.
+   *
+   * @param name Required. The name of the CustomJob to cancel. Format:
+   *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelCustomJob(String name) {
+    CancelCustomJobRequest request = CancelCustomJobRequest.newBuilder().setName(name).build();
+    cancelCustomJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The server makes a best
+   * effort to cancel the job, but success is not guaranteed. Clients can use
+   * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or other methods
+   * to check whether the cancellation succeeded or whether the job completed despite cancellation.
+   * On successful cancellation, the CustomJob is not deleted; instead it becomes a job with a
+   * [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a
+   * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
+   * [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to `CANCELLED`.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelCustomJob(CancelCustomJobRequest request) {
+    cancelCustomJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The server makes a best
+   * effort to cancel the job, but success is not guaranteed. Clients can use
+   * [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or other methods
+   * to check whether the cancellation succeeded or whether the job completed despite cancellation.
+   * On successful cancellation, the CustomJob is not deleted; instead it becomes a job with a
+   * [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a
+   * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
+   * [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to `CANCELLED`.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CancelCustomJobRequest, Empty> cancelCustomJobCallable() {
+    return stub.cancelCustomJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a DataLabelingJob.
+   *
+   * @param parent Required. The parent of the DataLabelingJob. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param dataLabelingJob Required. The DataLabelingJob to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final DataLabelingJob createDataLabelingJob(
+      LocationName parent, DataLabelingJob dataLabelingJob) {
+    CreateDataLabelingJobRequest request =
+        CreateDataLabelingJobRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setDataLabelingJob(dataLabelingJob)
+            .build();
+    return createDataLabelingJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a DataLabelingJob.
+   *
+   * @param parent Required. The parent of the DataLabelingJob. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param dataLabelingJob Required. The DataLabelingJob to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final DataLabelingJob createDataLabelingJob(
+      String parent, DataLabelingJob dataLabelingJob) {
+    CreateDataLabelingJobRequest request =
+        CreateDataLabelingJobRequest.newBuilder()
+            .setParent(parent)
+            .setDataLabelingJob(dataLabelingJob)
+            .build();
+    return createDataLabelingJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a DataLabelingJob.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final DataLabelingJob createDataLabelingJob(CreateDataLabelingJobRequest request) {
+    return createDataLabelingJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a DataLabelingJob.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CreateDataLabelingJobRequest, DataLabelingJob>
+      createDataLabelingJobCallable() {
+    return stub.createDataLabelingJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a DataLabelingJob.
+   *
+   * @param name Required. The name of the DataLabelingJob. Format:
+   *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final DataLabelingJob getDataLabelingJob(DataLabelingJobName name) {
+    GetDataLabelingJobRequest request =
+        GetDataLabelingJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return getDataLabelingJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a DataLabelingJob.
+   *
+   * @param name Required. The name of the DataLabelingJob. Format:
+   *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final DataLabelingJob getDataLabelingJob(String name) {
+    GetDataLabelingJobRequest request =
+        GetDataLabelingJobRequest.newBuilder().setName(name).build();
+    return getDataLabelingJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a DataLabelingJob.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final DataLabelingJob getDataLabelingJob(GetDataLabelingJobRequest request) {
+    return getDataLabelingJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a DataLabelingJob.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetDataLabelingJobRequest, DataLabelingJob>
+      getDataLabelingJobCallable() {
+    return stub.getDataLabelingJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataLabelingJobs in a Location.
+   *
+   * @param parent Required. The parent of the DataLabelingJob. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDataLabelingJobsPagedResponse listDataLabelingJobs(LocationName parent) {
+    ListDataLabelingJobsRequest request =
+        ListDataLabelingJobsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listDataLabelingJobs(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataLabelingJobs in a Location.
+   *
+   * @param parent Required. The parent of the DataLabelingJob. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDataLabelingJobsPagedResponse listDataLabelingJobs(String parent) {
+    ListDataLabelingJobsRequest request =
+        ListDataLabelingJobsRequest.newBuilder().setParent(parent).build();
+    return listDataLabelingJobs(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataLabelingJobs in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListDataLabelingJobsPagedResponse listDataLabelingJobs(
+      ListDataLabelingJobsRequest request) {
+    return listDataLabelingJobsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataLabelingJobs in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsPagedResponse>
+      listDataLabelingJobsPagedCallable() {
+    return stub.listDataLabelingJobsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists DataLabelingJobs in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>
+      listDataLabelingJobsCallable() {
+    return stub.listDataLabelingJobsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a DataLabelingJob.
+   *
+   * @param name Required. The name of the DataLabelingJob to be deleted. Format:
+   *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteDataLabelingJobAsync(
+      DataLabelingJobName name) {
+    DeleteDataLabelingJobRequest request =
+        DeleteDataLabelingJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return deleteDataLabelingJobAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a DataLabelingJob.
+   *
+   * @param name Required. The name of the DataLabelingJob to be deleted. Format:
+   *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteDataLabelingJobAsync(
+      String name) {
+    DeleteDataLabelingJobRequest request =
+        DeleteDataLabelingJobRequest.newBuilder().setName(name).build();
+    return deleteDataLabelingJobAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a DataLabelingJob.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteDataLabelingJobAsync(
+      DeleteDataLabelingJobRequest request) {
+    return deleteDataLabelingJobOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a DataLabelingJob.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+      deleteDataLabelingJobOperationCallable() {
+    return stub.deleteDataLabelingJobOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a DataLabelingJob.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteDataLabelingJobRequest, Operation>
+      deleteDataLabelingJobCallable() {
+    return stub.deleteDataLabelingJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+   *
+   * @param name Required. The name of the DataLabelingJob. Format:
+   *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelDataLabelingJob(DataLabelingJobName name) {
+    CancelDataLabelingJobRequest request =
+        CancelDataLabelingJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    cancelDataLabelingJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+   *
+   * @param name Required. The name of the DataLabelingJob. Format:
+   *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelDataLabelingJob(String name) {
+    CancelDataLabelingJobRequest request =
+        CancelDataLabelingJobRequest.newBuilder().setName(name).build();
+    cancelDataLabelingJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelDataLabelingJob(CancelDataLabelingJobRequest request) {
+    cancelDataLabelingJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobCallable() {
+    return stub.cancelDataLabelingJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a HyperparameterTuningJob
+   *
+   * @param parent Required. The resource name of the Location to create the HyperparameterTuningJob
+   *     in. Format: `projects/{project}/locations/{location}`
+   * @param hyperparameterTuningJob Required. The HyperparameterTuningJob to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final HyperparameterTuningJob createHyperparameterTuningJob(
+      LocationName parent, HyperparameterTuningJob hyperparameterTuningJob) {
+    CreateHyperparameterTuningJobRequest request =
+        CreateHyperparameterTuningJobRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setHyperparameterTuningJob(hyperparameterTuningJob)
+            .build();
+    return createHyperparameterTuningJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a HyperparameterTuningJob
+   *
+   * @param parent Required. The resource name of the Location to create the HyperparameterTuningJob
+   *     in. Format: `projects/{project}/locations/{location}`
+   * @param hyperparameterTuningJob Required. The HyperparameterTuningJob to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final HyperparameterTuningJob createHyperparameterTuningJob(
+      String parent, HyperparameterTuningJob hyperparameterTuningJob) {
+    CreateHyperparameterTuningJobRequest request =
+        CreateHyperparameterTuningJobRequest.newBuilder()
+            .setParent(parent)
+            .setHyperparameterTuningJob(hyperparameterTuningJob)
+            .build();
+    return createHyperparameterTuningJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a HyperparameterTuningJob
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final HyperparameterTuningJob createHyperparameterTuningJob(
+      CreateHyperparameterTuningJobRequest request) {
+    return createHyperparameterTuningJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a HyperparameterTuningJob
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      createHyperparameterTuningJobCallable() {
+    return stub.createHyperparameterTuningJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a HyperparameterTuningJob
+   *
+   * @param name Required. The name of the HyperparameterTuningJob resource. Format:
+   *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final HyperparameterTuningJob getHyperparameterTuningJob(
+      HyperparameterTuningJobName name) {
+    GetHyperparameterTuningJobRequest request =
+        GetHyperparameterTuningJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return getHyperparameterTuningJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a HyperparameterTuningJob
+   *
+   * @param name Required. The name of the HyperparameterTuningJob resource. Format:
+   *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final HyperparameterTuningJob getHyperparameterTuningJob(String name) {
+    GetHyperparameterTuningJobRequest request =
+        GetHyperparameterTuningJobRequest.newBuilder().setName(name).build();
+    return getHyperparameterTuningJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a HyperparameterTuningJob
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final HyperparameterTuningJob getHyperparameterTuningJob(
+      GetHyperparameterTuningJobRequest request) {
+    return getHyperparameterTuningJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a HyperparameterTuningJob
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      getHyperparameterTuningJobCallable() {
+    return stub.getHyperparameterTuningJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists HyperparameterTuningJobs in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the HyperparameterTuningJobs
+   *     from. Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListHyperparameterTuningJobsPagedResponse listHyperparameterTuningJobs(
+      LocationName parent) {
+    ListHyperparameterTuningJobsRequest request =
+        ListHyperparameterTuningJobsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listHyperparameterTuningJobs(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists HyperparameterTuningJobs in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the HyperparameterTuningJobs
+   *     from. Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListHyperparameterTuningJobsPagedResponse listHyperparameterTuningJobs(
+      String parent) {
+    ListHyperparameterTuningJobsRequest request =
+        ListHyperparameterTuningJobsRequest.newBuilder().setParent(parent).build();
+    return listHyperparameterTuningJobs(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists HyperparameterTuningJobs in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListHyperparameterTuningJobsPagedResponse listHyperparameterTuningJobs(
+      ListHyperparameterTuningJobsRequest request) {
+    return listHyperparameterTuningJobsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists HyperparameterTuningJobs in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<
+          ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsPagedResponse>
+      listHyperparameterTuningJobsPagedCallable() {
+    return stub.listHyperparameterTuningJobsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists HyperparameterTuningJobs in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<
+          ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+      listHyperparameterTuningJobsCallable() {
+    return stub.listHyperparameterTuningJobsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a HyperparameterTuningJob.
+   *
+   * @param name Required. The name of the HyperparameterTuningJob resource to be deleted. Format:
+   *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteHyperparameterTuningJobAsync(
+      HyperparameterTuningJobName name) {
+    DeleteHyperparameterTuningJobRequest request =
+        DeleteHyperparameterTuningJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return deleteHyperparameterTuningJobAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a HyperparameterTuningJob.
+   *
+   * @param name Required. The name of the HyperparameterTuningJob resource to be deleted. Format:
+   *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteHyperparameterTuningJobAsync(
+      String name) {
+    DeleteHyperparameterTuningJobRequest request =
+        DeleteHyperparameterTuningJobRequest.newBuilder().setName(name).build();
+    return deleteHyperparameterTuningJobAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a HyperparameterTuningJob.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteHyperparameterTuningJobAsync(
+      DeleteHyperparameterTuningJobRequest request) {
+    return deleteHyperparameterTuningJobOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a HyperparameterTuningJob.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<
+          DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+      deleteHyperparameterTuningJobOperationCallable() {
+    return stub.deleteHyperparameterTuningJobOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a HyperparameterTuningJob.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteHyperparameterTuningJobRequest, Operation>
+      deleteHyperparameterTuningJobCallable() {
+    return stub.deleteHyperparameterTuningJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a HyperparameterTuningJob. Starts asynchronous cancellation on the
+   * HyperparameterTuningJob. The server makes a best effort to cancel the job, but success is not
+   * guaranteed. Clients can use
+   * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
+   * or other methods to check whether the cancellation succeeded or whether the job completed
+   * despite cancellation. On successful cancellation, the HyperparameterTuningJob is not deleted;
+   * instead it becomes a job with a
+   * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value
+   * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
+   * `Code.CANCELLED`, and
+   * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is
+   * set to `CANCELLED`.
+   *
+   * @param name Required. The name of the HyperparameterTuningJob to cancel. Format:
+   *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelHyperparameterTuningJob(HyperparameterTuningJobName name) {
+    CancelHyperparameterTuningJobRequest request =
+        CancelHyperparameterTuningJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    cancelHyperparameterTuningJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a HyperparameterTuningJob. Starts asynchronous cancellation on the
+   * HyperparameterTuningJob. The server makes a best effort to cancel the job, but success is not
+   * guaranteed. Clients can use
+   * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
+   * or other methods to check whether the cancellation succeeded or whether the job completed
+   * despite cancellation. On successful cancellation, the HyperparameterTuningJob is not deleted;
+   * instead it becomes a job with a
+   * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value
+   * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
+   * `Code.CANCELLED`, and
+   * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is
+   * set to `CANCELLED`.
+   *
+   * @param name Required. The name of the HyperparameterTuningJob to cancel. Format:
+   *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelHyperparameterTuningJob(String name) {
+    CancelHyperparameterTuningJobRequest request =
+        CancelHyperparameterTuningJobRequest.newBuilder().setName(name).build();
+    cancelHyperparameterTuningJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a HyperparameterTuningJob. Starts asynchronous cancellation on the
+   * HyperparameterTuningJob. The server makes a best effort to cancel the job, but success is not
+   * guaranteed. Clients can use
+   * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
+   * or other methods to check whether the cancellation succeeded or whether the job completed
+   * despite cancellation. On successful cancellation, the HyperparameterTuningJob is not deleted;
+   * instead it becomes a job with a
+   * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value
+   * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
+   * `Code.CANCELLED`, and
+   * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is
+   * set to `CANCELLED`.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelHyperparameterTuningJob(CancelHyperparameterTuningJobRequest request) {
+    cancelHyperparameterTuningJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a HyperparameterTuningJob. Starts asynchronous cancellation on the
+   * HyperparameterTuningJob. The server makes a best effort to cancel the job, but success is not
+   * guaranteed. Clients can use
+   * [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
+   * or other methods to check whether the cancellation succeeded or whether the job completed
+   * despite cancellation. On successful cancellation, the HyperparameterTuningJob is not deleted;
+   * instead it becomes a job with a
+   * [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value
+   * with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
+   * `Code.CANCELLED`, and
+   * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is
+   * set to `CANCELLED`.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CancelHyperparameterTuningJobRequest, Empty>
+      cancelHyperparameterTuningJobCallable() {
+    return stub.cancelHyperparameterTuningJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to
+   * start.
+   *
+   * @param parent Required. The resource name of the Location to create the BatchPredictionJob in.
+   *     Format: `projects/{project}/locations/{location}`
+   * @param batchPredictionJob Required. The BatchPredictionJob to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final BatchPredictionJob createBatchPredictionJob(
+      LocationName parent, BatchPredictionJob batchPredictionJob) {
+    CreateBatchPredictionJobRequest request =
+        CreateBatchPredictionJobRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setBatchPredictionJob(batchPredictionJob)
+            .build();
+    return createBatchPredictionJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to
+   * start.
+   *
+   * @param parent Required. The resource name of the Location to create the BatchPredictionJob in.
+   *     Format: `projects/{project}/locations/{location}`
+   * @param batchPredictionJob Required. The BatchPredictionJob to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final BatchPredictionJob createBatchPredictionJob(
+      String parent, BatchPredictionJob batchPredictionJob) {
+    CreateBatchPredictionJobRequest request =
+        CreateBatchPredictionJobRequest.newBuilder()
+            .setParent(parent)
+            .setBatchPredictionJob(batchPredictionJob)
+            .build();
+    return createBatchPredictionJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to
+   * start.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final BatchPredictionJob createBatchPredictionJob(
+      CreateBatchPredictionJobRequest request) {
+    return createBatchPredictionJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to
+   * start.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CreateBatchPredictionJobRequest, BatchPredictionJob>
+      createBatchPredictionJobCallable() {
+    return stub.createBatchPredictionJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a BatchPredictionJob
+   *
+   * @param name Required. The name of the BatchPredictionJob resource. Format:
+   *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final BatchPredictionJob getBatchPredictionJob(BatchPredictionJobName name) {
+    GetBatchPredictionJobRequest request =
+        GetBatchPredictionJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return getBatchPredictionJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a BatchPredictionJob
+   *
+   * @param name Required. The name of the BatchPredictionJob resource. Format:
+   *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final BatchPredictionJob getBatchPredictionJob(String name) {
+    GetBatchPredictionJobRequest request =
+        GetBatchPredictionJobRequest.newBuilder().setName(name).build();
+    return getBatchPredictionJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a BatchPredictionJob
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final BatchPredictionJob getBatchPredictionJob(GetBatchPredictionJobRequest request) {
+    return getBatchPredictionJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a BatchPredictionJob
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetBatchPredictionJobRequest, BatchPredictionJob>
+      getBatchPredictionJobCallable() {
+    return stub.getBatchPredictionJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists BatchPredictionJobs in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the BatchPredictionJobs from.
+   *     Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListBatchPredictionJobsPagedResponse listBatchPredictionJobs(LocationName parent) {
+    ListBatchPredictionJobsRequest request =
+        ListBatchPredictionJobsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listBatchPredictionJobs(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists BatchPredictionJobs in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the BatchPredictionJobs from.
+   *     Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListBatchPredictionJobsPagedResponse listBatchPredictionJobs(String parent) {
+    ListBatchPredictionJobsRequest request =
+        ListBatchPredictionJobsRequest.newBuilder().setParent(parent).build();
+    return listBatchPredictionJobs(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists BatchPredictionJobs in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListBatchPredictionJobsPagedResponse listBatchPredictionJobs(
+      ListBatchPredictionJobsRequest request) {
+    return listBatchPredictionJobsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists BatchPredictionJobs in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsPagedResponse>
+      listBatchPredictionJobsPagedCallable() {
+    return stub.listBatchPredictionJobsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists BatchPredictionJobs in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
+      listBatchPredictionJobsCallable() {
+    return stub.listBatchPredictionJobsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
+   *
+   * @param name Required. The name of the BatchPredictionJob resource to be deleted. Format:
+   *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteBatchPredictionJobAsync(
+      BatchPredictionJobName name) {
+    DeleteBatchPredictionJobRequest request =
+        DeleteBatchPredictionJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return deleteBatchPredictionJobAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
+   *
+   * @param name Required. The name of the BatchPredictionJob resource to be deleted. Format:
+   *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteBatchPredictionJobAsync(
+      String name) {
+    DeleteBatchPredictionJobRequest request =
+        DeleteBatchPredictionJobRequest.newBuilder().setName(name).build();
+    return deleteBatchPredictionJobAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteBatchPredictionJobAsync(
+      DeleteBatchPredictionJobRequest request) {
+    return deleteBatchPredictionJobOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+      deleteBatchPredictionJobOperationCallable() {
+    return stub.deleteBatchPredictionJobOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteBatchPredictionJobRequest, Operation>
+      deleteBatchPredictionJobCallable() {
+    return stub.deleteBatchPredictionJobCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a BatchPredictionJob.
+   *
+   * <p>Starts asynchronous cancellation on the BatchPredictionJob. The server makes the best effort
+   * to cancel the job, but success is not guaranteed. Clients can use
+   * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
+   * or other methods to check whether the cancellation succeeded or whether the job completed
+   * despite cancellation. On a successful cancellation, the BatchPredictionJob is not
+   * deleted;instead its
+   * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to
+   * `CANCELLED`. Any files already outputted by the job are not deleted.
+   *
+   * @param name Required. The name of the BatchPredictionJob to cancel. Format:
+   *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelBatchPredictionJob(BatchPredictionJobName name) {
+    CancelBatchPredictionJobRequest request =
+        CancelBatchPredictionJobRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    cancelBatchPredictionJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a BatchPredictionJob.
+   *
+   * <p>Starts asynchronous cancellation on the BatchPredictionJob. The server makes the best effort
+   * to cancel the job, but success is not guaranteed. Clients can use
+   * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
+   * or other methods to check whether the cancellation succeeded or whether the job completed
+   * despite cancellation. On a successful cancellation, the BatchPredictionJob is not
+   * deleted;instead its
+   * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to
+   * `CANCELLED`. Any files already outputted by the job are not deleted.
+   *
+   * @param name Required. The name of the BatchPredictionJob to cancel. Format:
+   *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelBatchPredictionJob(String name) {
+    CancelBatchPredictionJobRequest request =
+        CancelBatchPredictionJobRequest.newBuilder().setName(name).build();
+    cancelBatchPredictionJob(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a BatchPredictionJob.
+   *
+   * <p>Starts asynchronous cancellation on the BatchPredictionJob. The server makes the best effort
+   * to cancel the job, but success is not guaranteed. Clients can use
+   * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
+   * or other methods to check whether the cancellation succeeded or whether the job completed
+   * despite cancellation. On a successful cancellation, the BatchPredictionJob is not
+   * deleted;instead its
+   * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to
+   * `CANCELLED`. Any files already outputted by the job are not deleted.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelBatchPredictionJob(CancelBatchPredictionJobRequest request) {
+    cancelBatchPredictionJobCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a BatchPredictionJob.
+   *
+   * <p>Starts asynchronous cancellation on the BatchPredictionJob. The server makes the best effort
+   * to cancel the job, but success is not guaranteed. Clients can use
+   * [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
+   * or other methods to check whether the cancellation succeeded or whether the job completed
+   * despite cancellation. On a successful cancellation, the BatchPredictionJob is not
+   * deleted;instead its
+   * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to
+   * `CANCELLED`. Any files already outputted by the job are not deleted.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CancelBatchPredictionJobRequest, Empty>
+      cancelBatchPredictionJobCallable() {
+    return stub.cancelBatchPredictionJobCallable();
+  }
+
+  @Override
+  public final void close() {
+    stub.close();
+  }
+
+  @Override
+  public void shutdown() {
+    stub.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return stub.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return stub.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    stub.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return stub.awaitTermination(duration, unit);
+  }
+
+  public static class ListCustomJobsPagedResponse
+      extends AbstractPagedListResponse<
+          ListCustomJobsRequest,
+          ListCustomJobsResponse,
+          CustomJob,
+          ListCustomJobsPage,
+          ListCustomJobsFixedSizeCollection> {
+
+    public static ApiFuture<ListCustomJobsPagedResponse> createAsync(
+        PageContext<ListCustomJobsRequest, ListCustomJobsResponse, CustomJob> context,
+        ApiFuture<ListCustomJobsResponse> futureResponse) {
+      ApiFuture<ListCustomJobsPage> futurePage =
+          ListCustomJobsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListCustomJobsPage, ListCustomJobsPagedResponse>() {
+            @Override
+            public ListCustomJobsPagedResponse apply(ListCustomJobsPage input) {
+              return new ListCustomJobsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListCustomJobsPagedResponse(ListCustomJobsPage page) {
+      super(page, ListCustomJobsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListCustomJobsPage
+      extends AbstractPage<
+          ListCustomJobsRequest, ListCustomJobsResponse, CustomJob, ListCustomJobsPage> {
+
+    private ListCustomJobsPage(
+        PageContext<ListCustomJobsRequest, ListCustomJobsResponse, CustomJob> context,
+        ListCustomJobsResponse response) {
+      super(context, response);
+    }
+
+    private static ListCustomJobsPage createEmptyPage() {
+      return new ListCustomJobsPage(null, null);
+    }
+
+    @Override
+    protected ListCustomJobsPage createPage(
+        PageContext<ListCustomJobsRequest, ListCustomJobsResponse, CustomJob> context,
+        ListCustomJobsResponse response) {
+      return new ListCustomJobsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListCustomJobsPage> createPageAsync(
+        PageContext<ListCustomJobsRequest, ListCustomJobsResponse, CustomJob> context,
+        ApiFuture<ListCustomJobsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListCustomJobsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListCustomJobsRequest,
+          ListCustomJobsResponse,
+          CustomJob,
+          ListCustomJobsPage,
+          ListCustomJobsFixedSizeCollection> {
+
+    private ListCustomJobsFixedSizeCollection(List<ListCustomJobsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListCustomJobsFixedSizeCollection createEmptyCollection() {
+      return new ListCustomJobsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListCustomJobsFixedSizeCollection createCollection(
+        List<ListCustomJobsPage> pages, int collectionSize) {
+      return new ListCustomJobsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+
+  public static class ListDataLabelingJobsPagedResponse
+      extends AbstractPagedListResponse<
+          ListDataLabelingJobsRequest,
+          ListDataLabelingJobsResponse,
+          DataLabelingJob,
+          ListDataLabelingJobsPage,
+          ListDataLabelingJobsFixedSizeCollection> {
+
+    public static ApiFuture<ListDataLabelingJobsPagedResponse> createAsync(
+        PageContext<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse, DataLabelingJob>
+            context,
+        ApiFuture<ListDataLabelingJobsResponse> futureResponse) {
+      ApiFuture<ListDataLabelingJobsPage> futurePage =
+          ListDataLabelingJobsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListDataLabelingJobsPage, ListDataLabelingJobsPagedResponse>() {
+            @Override
+            public ListDataLabelingJobsPagedResponse apply(ListDataLabelingJobsPage input) {
+              return new ListDataLabelingJobsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListDataLabelingJobsPagedResponse(ListDataLabelingJobsPage page) {
+      super(page, ListDataLabelingJobsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListDataLabelingJobsPage
+      extends AbstractPage<
+          ListDataLabelingJobsRequest,
+          ListDataLabelingJobsResponse,
+          DataLabelingJob,
+          ListDataLabelingJobsPage> {
+
+    private ListDataLabelingJobsPage(
+        PageContext<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse, DataLabelingJob>
+            context,
+        ListDataLabelingJobsResponse response) {
+      super(context, response);
+    }
+
+    private static ListDataLabelingJobsPage createEmptyPage() {
+      return new ListDataLabelingJobsPage(null, null);
+    }
+
+    @Override
+    protected ListDataLabelingJobsPage createPage(
+        PageContext<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse, DataLabelingJob>
+            context,
+        ListDataLabelingJobsResponse response) {
+      return new ListDataLabelingJobsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListDataLabelingJobsPage> createPageAsync(
+        PageContext<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse, DataLabelingJob>
+            context,
+        ApiFuture<ListDataLabelingJobsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListDataLabelingJobsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListDataLabelingJobsRequest,
+          ListDataLabelingJobsResponse,
+          DataLabelingJob,
+          ListDataLabelingJobsPage,
+          ListDataLabelingJobsFixedSizeCollection> {
+
+    private ListDataLabelingJobsFixedSizeCollection(
+        List<ListDataLabelingJobsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListDataLabelingJobsFixedSizeCollection createEmptyCollection() {
+      return new ListDataLabelingJobsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListDataLabelingJobsFixedSizeCollection createCollection(
+        List<ListDataLabelingJobsPage> pages, int collectionSize) {
+      return new ListDataLabelingJobsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+
+  public static class ListHyperparameterTuningJobsPagedResponse
+      extends AbstractPagedListResponse<
+          ListHyperparameterTuningJobsRequest,
+          ListHyperparameterTuningJobsResponse,
+          HyperparameterTuningJob,
+          ListHyperparameterTuningJobsPage,
+          ListHyperparameterTuningJobsFixedSizeCollection> {
+
+    public static ApiFuture<ListHyperparameterTuningJobsPagedResponse> createAsync(
+        PageContext<
+                ListHyperparameterTuningJobsRequest,
+                ListHyperparameterTuningJobsResponse,
+                HyperparameterTuningJob>
+            context,
+        ApiFuture<ListHyperparameterTuningJobsResponse> futureResponse) {
+      ApiFuture<ListHyperparameterTuningJobsPage> futurePage =
+          ListHyperparameterTuningJobsPage.createEmptyPage()
+              .createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<
+              ListHyperparameterTuningJobsPage, ListHyperparameterTuningJobsPagedResponse>() {
+            @Override
+            public ListHyperparameterTuningJobsPagedResponse apply(
+                ListHyperparameterTuningJobsPage input) {
+              return new ListHyperparameterTuningJobsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListHyperparameterTuningJobsPagedResponse(ListHyperparameterTuningJobsPage page) {
+      super(page, ListHyperparameterTuningJobsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListHyperparameterTuningJobsPage
+      extends AbstractPage<
+          ListHyperparameterTuningJobsRequest,
+          ListHyperparameterTuningJobsResponse,
+          HyperparameterTuningJob,
+          ListHyperparameterTuningJobsPage> {
+
+    private ListHyperparameterTuningJobsPage(
+        PageContext<
+                ListHyperparameterTuningJobsRequest,
+                ListHyperparameterTuningJobsResponse,
+                HyperparameterTuningJob>
+            context,
+        ListHyperparameterTuningJobsResponse response) {
+      super(context, response);
+    }
+
+    private static ListHyperparameterTuningJobsPage createEmptyPage() {
+      return new ListHyperparameterTuningJobsPage(null, null);
+    }
+
+    @Override
+    protected ListHyperparameterTuningJobsPage createPage(
+        PageContext<
+                ListHyperparameterTuningJobsRequest,
+                ListHyperparameterTuningJobsResponse,
+                HyperparameterTuningJob>
+            context,
+        ListHyperparameterTuningJobsResponse response) {
+      return new ListHyperparameterTuningJobsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListHyperparameterTuningJobsPage> createPageAsync(
+        PageContext<
+                ListHyperparameterTuningJobsRequest,
+                ListHyperparameterTuningJobsResponse,
+                HyperparameterTuningJob>
+            context,
+        ApiFuture<ListHyperparameterTuningJobsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListHyperparameterTuningJobsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListHyperparameterTuningJobsRequest,
+          ListHyperparameterTuningJobsResponse,
+          HyperparameterTuningJob,
+          ListHyperparameterTuningJobsPage,
+          ListHyperparameterTuningJobsFixedSizeCollection> {
+
+    private ListHyperparameterTuningJobsFixedSizeCollection(
+        List<ListHyperparameterTuningJobsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListHyperparameterTuningJobsFixedSizeCollection createEmptyCollection() {
+      return new ListHyperparameterTuningJobsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListHyperparameterTuningJobsFixedSizeCollection createCollection(
+        List<ListHyperparameterTuningJobsPage> pages, int collectionSize) {
+      return new ListHyperparameterTuningJobsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+
+  public static class ListBatchPredictionJobsPagedResponse
+      extends AbstractPagedListResponse<
+          ListBatchPredictionJobsRequest,
+          ListBatchPredictionJobsResponse,
+          BatchPredictionJob,
+          ListBatchPredictionJobsPage,
+          ListBatchPredictionJobsFixedSizeCollection> {
+
+    public static ApiFuture<ListBatchPredictionJobsPagedResponse> createAsync(
+        PageContext<
+                ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse, BatchPredictionJob>
+            context,
+        ApiFuture<ListBatchPredictionJobsResponse> futureResponse) {
+      ApiFuture<ListBatchPredictionJobsPage> futurePage =
+          ListBatchPredictionJobsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListBatchPredictionJobsPage, ListBatchPredictionJobsPagedResponse>() {
+            @Override
+            public ListBatchPredictionJobsPagedResponse apply(ListBatchPredictionJobsPage input) {
+              return new ListBatchPredictionJobsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListBatchPredictionJobsPagedResponse(ListBatchPredictionJobsPage page) {
+      super(page, ListBatchPredictionJobsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListBatchPredictionJobsPage
+      extends AbstractPage<
+          ListBatchPredictionJobsRequest,
+          ListBatchPredictionJobsResponse,
+          BatchPredictionJob,
+          ListBatchPredictionJobsPage> {
+
+    private ListBatchPredictionJobsPage(
+        PageContext<
+                ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse, BatchPredictionJob>
+            context,
+        ListBatchPredictionJobsResponse response) {
+      super(context, response);
+    }
+
+    private static ListBatchPredictionJobsPage createEmptyPage() {
+      return new ListBatchPredictionJobsPage(null, null);
+    }
+
+    @Override
+    protected ListBatchPredictionJobsPage createPage(
+        PageContext<
+                ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse, BatchPredictionJob>
+            context,
+        ListBatchPredictionJobsResponse response) {
+      return new ListBatchPredictionJobsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListBatchPredictionJobsPage> createPageAsync(
+        PageContext<
+                ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse, BatchPredictionJob>
+            context,
+        ApiFuture<ListBatchPredictionJobsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListBatchPredictionJobsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListBatchPredictionJobsRequest,
+          ListBatchPredictionJobsResponse,
+          BatchPredictionJob,
+          ListBatchPredictionJobsPage,
+          ListBatchPredictionJobsFixedSizeCollection> {
+
+    private ListBatchPredictionJobsFixedSizeCollection(
+        List<ListBatchPredictionJobsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListBatchPredictionJobsFixedSizeCollection createEmptyCollection() {
+      return new ListBatchPredictionJobsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListBatchPredictionJobsFixedSizeCollection createCollection(
+        List<ListBatchPredictionJobsPage> pages, int collectionSize) {
+      return new ListBatchPredictionJobsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java
new file mode 100644
index 000000000..279a21ffb
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java
@@ -0,0 +1,482 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListBatchPredictionJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListCustomJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListDataLabelingJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientSettings;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.stub.JobServiceStubSettings;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link JobServiceClient}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of createCustomJob to 30 seconds:
+ *
+ * <pre>{@code
+ * JobServiceSettings.Builder jobServiceSettingsBuilder = JobServiceSettings.newBuilder();
+ * jobServiceSettingsBuilder
+ *     .createCustomJobSettings()
+ *     .setRetrySettings(
+ *         jobServiceSettingsBuilder
+ *             .createCustomJobSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * JobServiceSettings jobServiceSettings = jobServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class JobServiceSettings extends ClientSettings<JobServiceSettings> {
+
+  /** Returns the object with the settings used for calls to createCustomJob. */
+  public UnaryCallSettings<CreateCustomJobRequest, CustomJob> createCustomJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).createCustomJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getCustomJob. */
+  public UnaryCallSettings<GetCustomJobRequest, CustomJob> getCustomJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).getCustomJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listCustomJobs. */
+  public PagedCallSettings<
+          ListCustomJobsRequest, ListCustomJobsResponse, ListCustomJobsPagedResponse>
+      listCustomJobsSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).listCustomJobsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteCustomJob. */
+  public UnaryCallSettings<DeleteCustomJobRequest, Operation> deleteCustomJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteCustomJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteCustomJob. */
+  public OperationCallSettings<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+      deleteCustomJobOperationSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteCustomJobOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to cancelCustomJob. */
+  public UnaryCallSettings<CancelCustomJobRequest, Empty> cancelCustomJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).cancelCustomJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to createDataLabelingJob. */
+  public UnaryCallSettings<CreateDataLabelingJobRequest, DataLabelingJob>
+      createDataLabelingJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).createDataLabelingJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getDataLabelingJob. */
+  public UnaryCallSettings<GetDataLabelingJobRequest, DataLabelingJob>
+      getDataLabelingJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).getDataLabelingJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listDataLabelingJobs. */
+  public PagedCallSettings<
+          ListDataLabelingJobsRequest,
+          ListDataLabelingJobsResponse,
+          ListDataLabelingJobsPagedResponse>
+      listDataLabelingJobsSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).listDataLabelingJobsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteDataLabelingJob. */
+  public UnaryCallSettings<DeleteDataLabelingJobRequest, Operation>
+      deleteDataLabelingJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteDataLabelingJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteDataLabelingJob. */
+  public OperationCallSettings<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+      deleteDataLabelingJobOperationSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteDataLabelingJobOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to cancelDataLabelingJob. */
+  public UnaryCallSettings<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).cancelDataLabelingJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to createHyperparameterTuningJob. */
+  public UnaryCallSettings<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      createHyperparameterTuningJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).createHyperparameterTuningJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getHyperparameterTuningJob. */
+  public UnaryCallSettings<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      getHyperparameterTuningJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).getHyperparameterTuningJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listHyperparameterTuningJobs. */
+  public PagedCallSettings<
+          ListHyperparameterTuningJobsRequest,
+          ListHyperparameterTuningJobsResponse,
+          ListHyperparameterTuningJobsPagedResponse>
+      listHyperparameterTuningJobsSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).listHyperparameterTuningJobsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteHyperparameterTuningJob. */
+  public UnaryCallSettings<DeleteHyperparameterTuningJobRequest, Operation>
+      deleteHyperparameterTuningJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteHyperparameterTuningJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteHyperparameterTuningJob. */
+  public OperationCallSettings<DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+      deleteHyperparameterTuningJobOperationSettings() {
+    return ((JobServiceStubSettings) getStubSettings())
+        .deleteHyperparameterTuningJobOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to cancelHyperparameterTuningJob. */
+  public UnaryCallSettings<CancelHyperparameterTuningJobRequest, Empty>
+      cancelHyperparameterTuningJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).cancelHyperparameterTuningJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to createBatchPredictionJob. */
+  public UnaryCallSettings<CreateBatchPredictionJobRequest, BatchPredictionJob>
+      createBatchPredictionJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).createBatchPredictionJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getBatchPredictionJob. */
+  public UnaryCallSettings<GetBatchPredictionJobRequest, BatchPredictionJob>
+      getBatchPredictionJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).getBatchPredictionJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listBatchPredictionJobs. */
+  public PagedCallSettings<
+          ListBatchPredictionJobsRequest,
+          ListBatchPredictionJobsResponse,
+          ListBatchPredictionJobsPagedResponse>
+      listBatchPredictionJobsSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).listBatchPredictionJobsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteBatchPredictionJob. */
+  public UnaryCallSettings<DeleteBatchPredictionJobRequest, Operation>
+      deleteBatchPredictionJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteBatchPredictionJobSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteBatchPredictionJob. */
+  public OperationCallSettings<DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+      deleteBatchPredictionJobOperationSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).deleteBatchPredictionJobOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to cancelBatchPredictionJob. */
+  public UnaryCallSettings<CancelBatchPredictionJobRequest, Empty>
+      cancelBatchPredictionJobSettings() {
+    return ((JobServiceStubSettings) getStubSettings()).cancelBatchPredictionJobSettings();
+  }
+
+  public static final JobServiceSettings create(JobServiceStubSettings stub) throws IOException {
+    return new JobServiceSettings.Builder(stub.toBuilder()).build();
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return JobServiceStubSettings.defaultExecutorProviderBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return JobServiceStubSettings.getDefaultEndpoint();
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return JobServiceStubSettings.getDefaultServiceScopes();
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return JobServiceStubSettings.defaultCredentialsProviderBuilder();
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return JobServiceStubSettings.defaultGrpcTransportProviderBuilder();
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return JobServiceStubSettings.defaultTransportChannelProvider();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return JobServiceStubSettings.defaultApiClientHeaderProviderBuilder();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected JobServiceSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+  }
+
+  /** Builder for JobServiceSettings. */
+  public static class Builder extends ClientSettings.Builder<JobServiceSettings, Builder> {
+
+    protected Builder() throws IOException {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(JobServiceStubSettings.newBuilder(clientContext));
+    }
+
+    protected Builder(JobServiceSettings settings) {
+      super(settings.getStubSettings().toBuilder());
+    }
+
+    protected Builder(JobServiceStubSettings.Builder stubSettings) {
+      super(stubSettings);
+    }
+
+    private static Builder createDefault() {
+      return new Builder(JobServiceStubSettings.newBuilder());
+    }
+
+    public JobServiceStubSettings.Builder getStubSettingsBuilder() {
+      return ((JobServiceStubSettings.Builder) getStubSettings());
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(
+          getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater);
+      return this;
+    }
+
+    /** Returns the builder for the settings used for calls to createCustomJob. */
+    public UnaryCallSettings.Builder<CreateCustomJobRequest, CustomJob> createCustomJobSettings() {
+      return getStubSettingsBuilder().createCustomJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getCustomJob. */
+    public UnaryCallSettings.Builder<GetCustomJobRequest, CustomJob> getCustomJobSettings() {
+      return getStubSettingsBuilder().getCustomJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listCustomJobs. */
+    public PagedCallSettings.Builder<
+            ListCustomJobsRequest, ListCustomJobsResponse, ListCustomJobsPagedResponse>
+        listCustomJobsSettings() {
+      return getStubSettingsBuilder().listCustomJobsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteCustomJob. */
+    public UnaryCallSettings.Builder<DeleteCustomJobRequest, Operation> deleteCustomJobSettings() {
+      return getStubSettingsBuilder().deleteCustomJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteCustomJob. */
+    public OperationCallSettings.Builder<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+        deleteCustomJobOperationSettings() {
+      return getStubSettingsBuilder().deleteCustomJobOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to cancelCustomJob. */
+    public UnaryCallSettings.Builder<CancelCustomJobRequest, Empty> cancelCustomJobSettings() {
+      return getStubSettingsBuilder().cancelCustomJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to createDataLabelingJob. */
+    public UnaryCallSettings.Builder<CreateDataLabelingJobRequest, DataLabelingJob>
+        createDataLabelingJobSettings() {
+      return getStubSettingsBuilder().createDataLabelingJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getDataLabelingJob. */
+    public UnaryCallSettings.Builder<GetDataLabelingJobRequest, DataLabelingJob>
+        getDataLabelingJobSettings() {
+      return getStubSettingsBuilder().getDataLabelingJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listDataLabelingJobs. */
+    public PagedCallSettings.Builder<
+            ListDataLabelingJobsRequest,
+            ListDataLabelingJobsResponse,
+            ListDataLabelingJobsPagedResponse>
+        listDataLabelingJobsSettings() {
+      return getStubSettingsBuilder().listDataLabelingJobsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteDataLabelingJob. */
+    public UnaryCallSettings.Builder<DeleteDataLabelingJobRequest, Operation>
+        deleteDataLabelingJobSettings() {
+      return getStubSettingsBuilder().deleteDataLabelingJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteDataLabelingJob. */
+    public OperationCallSettings.Builder<
+            DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+        deleteDataLabelingJobOperationSettings() {
+      return getStubSettingsBuilder().deleteDataLabelingJobOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to cancelDataLabelingJob. */
+    public UnaryCallSettings.Builder<CancelDataLabelingJobRequest, Empty>
+        cancelDataLabelingJobSettings() {
+      return getStubSettingsBuilder().cancelDataLabelingJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to createHyperparameterTuningJob. */
+    public UnaryCallSettings.Builder<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+        createHyperparameterTuningJobSettings() {
+      return getStubSettingsBuilder().createHyperparameterTuningJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getHyperparameterTuningJob. */
+    public UnaryCallSettings.Builder<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+        getHyperparameterTuningJobSettings() {
+      return getStubSettingsBuilder().getHyperparameterTuningJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listHyperparameterTuningJobs. */
+    public PagedCallSettings.Builder<
+            ListHyperparameterTuningJobsRequest,
+            ListHyperparameterTuningJobsResponse,
+            ListHyperparameterTuningJobsPagedResponse>
+        listHyperparameterTuningJobsSettings() {
+      return getStubSettingsBuilder().listHyperparameterTuningJobsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteHyperparameterTuningJob. */
+    public UnaryCallSettings.Builder<DeleteHyperparameterTuningJobRequest, Operation>
+        deleteHyperparameterTuningJobSettings() {
+      return getStubSettingsBuilder().deleteHyperparameterTuningJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteHyperparameterTuningJob. */
+    public OperationCallSettings.Builder<
+            DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+        deleteHyperparameterTuningJobOperationSettings() {
+      return getStubSettingsBuilder().deleteHyperparameterTuningJobOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to cancelHyperparameterTuningJob. */
+    public UnaryCallSettings.Builder<CancelHyperparameterTuningJobRequest, Empty>
+        cancelHyperparameterTuningJobSettings() {
+      return getStubSettingsBuilder().cancelHyperparameterTuningJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to createBatchPredictionJob. */
+    public UnaryCallSettings.Builder<CreateBatchPredictionJobRequest, BatchPredictionJob>
+        createBatchPredictionJobSettings() {
+      return getStubSettingsBuilder().createBatchPredictionJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getBatchPredictionJob. */
+    public UnaryCallSettings.Builder<GetBatchPredictionJobRequest, BatchPredictionJob>
+        getBatchPredictionJobSettings() {
+      return getStubSettingsBuilder().getBatchPredictionJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listBatchPredictionJobs. */
+    public PagedCallSettings.Builder<
+            ListBatchPredictionJobsRequest,
+            ListBatchPredictionJobsResponse,
+            ListBatchPredictionJobsPagedResponse>
+        listBatchPredictionJobsSettings() {
+      return getStubSettingsBuilder().listBatchPredictionJobsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteBatchPredictionJob. */
+    public UnaryCallSettings.Builder<DeleteBatchPredictionJobRequest, Operation>
+        deleteBatchPredictionJobSettings() {
+      return getStubSettingsBuilder().deleteBatchPredictionJobSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteBatchPredictionJob. */
+    public OperationCallSettings.Builder<
+            DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+        deleteBatchPredictionJobOperationSettings() {
+      return getStubSettingsBuilder().deleteBatchPredictionJobOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to cancelBatchPredictionJob. */
+    public UnaryCallSettings.Builder<CancelBatchPredictionJobRequest, Empty>
+        cancelBatchPredictionJobSettings() {
+      return getStubSettingsBuilder().cancelBatchPredictionJobSettings();
+    }
+
+    @Override
+    public JobServiceSettings build() throws IOException {
+      return new JobServiceSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceClient.java
new file mode 100644
index 000000000..646448a57
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceClient.java
@@ -0,0 +1,455 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.ApiFutures;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.api.gax.paging.AbstractFixedSizeCollection;
+import com.google.api.gax.paging.AbstractPage;
+import com.google.api.gax.paging.AbstractPagedListResponse;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.stub.MigrationServiceStub;
+import com.google.cloud.aiplatform.v1.stub.MigrationServiceStubSettings;
+import com.google.common.util.concurrent.MoreExecutors;
+import com.google.longrunning.Operation;
+import com.google.longrunning.OperationsClient;
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Service Description: A service that migrates resources from automl.googleapis.com,
+ * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+ *
+ * <p>This class provides the ability to make remote calls to the backing service through method
+ * calls that map to API methods. Sample code to get started:
+ *
+ * <p>Note: close() needs to be called on the MigrationServiceClient object to clean up resources
+ * such as threads. In the example above, try-with-resources is used, which automatically calls
+ * close().
+ *
+ * <p>The surface of this class includes several types of Java methods for each of the API's
+ * methods:
+ *
+ * <ol>
+ *   <li>A "flattened" method. With this type of method, the fields of the request type have been
+ *       converted into function parameters. It may be the case that not all fields are available as
+ *       parameters, and not every API method will have a flattened method entry point.
+ *   <li>A "request object" method. This type of method only takes one parameter, a request object,
+ *       which must be constructed before the call. Not every API method will have a request object
+ *       method.
+ *   <li>A "callable" method. This type of method takes no parameters and returns an immutable API
+ *       callable object, which can be used to initiate calls to the service.
+ * </ol>
+ *
+ * <p>See the individual methods for example code.
+ *
+ * <p>Many parameters require resource names to be formatted in a particular way. To assist with
+ * these names, this class includes a format method for each type of name, and additionally a parse
+ * method to extract the individual identifiers contained within names that are returned.
+ *
+ * <p>This class can be customized by passing in a custom instance of MigrationServiceSettings to
+ * create(). For example:
+ *
+ * <p>To customize credentials:
+ *
+ * <pre>{@code
+ * MigrationServiceSettings migrationServiceSettings =
+ *     MigrationServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * MigrationServiceClient migrationServiceClient =
+ *     MigrationServiceClient.create(migrationServiceSettings);
+ * }</pre>
+ *
+ * <p>To customize the endpoint:
+ *
+ * <pre>{@code
+ * MigrationServiceSettings migrationServiceSettings =
+ *     MigrationServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * MigrationServiceClient migrationServiceClient =
+ *     MigrationServiceClient.create(migrationServiceSettings);
+ * }</pre>
+ *
+ * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
+ */
+@Generated("by gapic-generator-java")
+public class MigrationServiceClient implements BackgroundResource {
+  private final MigrationServiceSettings settings;
+  private final MigrationServiceStub stub;
+  private final OperationsClient operationsClient;
+
+  /** Constructs an instance of MigrationServiceClient with default settings. */
+  public static final MigrationServiceClient create() throws IOException {
+    return create(MigrationServiceSettings.newBuilder().build());
+  }
+
+  /**
+   * Constructs an instance of MigrationServiceClient, using the given settings. The channels are
+   * created based on the settings passed in, or defaults for any settings that are not set.
+   */
+  public static final MigrationServiceClient create(MigrationServiceSettings settings)
+      throws IOException {
+    return new MigrationServiceClient(settings);
+  }
+
+  /**
+   * Constructs an instance of MigrationServiceClient, using the given stub for making calls. This
+   * is for advanced usage - prefer using create(MigrationServiceSettings).
+   */
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public static final MigrationServiceClient create(MigrationServiceStub stub) {
+    return new MigrationServiceClient(stub);
+  }
+
+  /**
+   * Constructs an instance of MigrationServiceClient, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected MigrationServiceClient(MigrationServiceSettings settings) throws IOException {
+    this.settings = settings;
+    this.stub = ((MigrationServiceStubSettings) settings.getStubSettings()).createStub();
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  protected MigrationServiceClient(MigrationServiceStub stub) {
+    this.settings = null;
+    this.stub = stub;
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  public final MigrationServiceSettings getSettings() {
+    return settings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public MigrationServiceStub getStub() {
+    return stub;
+  }
+
+  /**
+   * Returns the OperationsClient that can be used to query the status of a long-running operation
+   * returned by another API method call.
+   */
+  public final OperationsClient getOperationsClient() {
+    return operationsClient;
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and
+   * ml.googleapis.com that can be migrated to AI Platform's given location.
+   *
+   * @param parent Required. The location that the migratable resources should be searched from.
+   *     It's the AI Platform location that the resources can be migrated to, not the resources'
+   *     original location. Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final SearchMigratableResourcesPagedResponse searchMigratableResources(
+      LocationName parent) {
+    SearchMigratableResourcesRequest request =
+        SearchMigratableResourcesRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return searchMigratableResources(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and
+   * ml.googleapis.com that can be migrated to AI Platform's given location.
+   *
+   * @param parent Required. The location that the migratable resources should be searched from.
+   *     It's the AI Platform location that the resources can be migrated to, not the resources'
+   *     original location. Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final SearchMigratableResourcesPagedResponse searchMigratableResources(String parent) {
+    SearchMigratableResourcesRequest request =
+        SearchMigratableResourcesRequest.newBuilder().setParent(parent).build();
+    return searchMigratableResources(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and
+   * ml.googleapis.com that can be migrated to AI Platform's given location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final SearchMigratableResourcesPagedResponse searchMigratableResources(
+      SearchMigratableResourcesRequest request) {
+    return searchMigratableResourcesPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and
+   * ml.googleapis.com that can be migrated to AI Platform's given location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<
+          SearchMigratableResourcesRequest, SearchMigratableResourcesPagedResponse>
+      searchMigratableResourcesPagedCallable() {
+    return stub.searchMigratableResourcesPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and
+   * ml.googleapis.com that can be migrated to AI Platform's given location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
+      searchMigratableResourcesCallable() {
+    return stub.searchMigratableResourcesCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and
+   * datalabeling.googleapis.com to AI Platform (Unified).
+   *
+   * @param parent Required. The location of the migrated resource will live in. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param migrateResourceRequests Required. The request messages specifying the resources to
+   *     migrate. They must be in the same location as the destination. Up to 50 resources can be
+   *     migrated in one batch.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<
+          BatchMigrateResourcesResponse, BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesAsync(
+          LocationName parent, List<MigrateResourceRequest> migrateResourceRequests) {
+    BatchMigrateResourcesRequest request =
+        BatchMigrateResourcesRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .addAllMigrateResourceRequests(migrateResourceRequests)
+            .build();
+    return batchMigrateResourcesAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and
+   * datalabeling.googleapis.com to AI Platform (Unified).
+   *
+   * @param parent Required. The location of the migrated resource will live in. Format:
+   *     `projects/{project}/locations/{location}`
+   * @param migrateResourceRequests Required. The request messages specifying the resources to
+   *     migrate. They must be in the same location as the destination. Up to 50 resources can be
+   *     migrated in one batch.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<
+          BatchMigrateResourcesResponse, BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesAsync(
+          String parent, List<MigrateResourceRequest> migrateResourceRequests) {
+    BatchMigrateResourcesRequest request =
+        BatchMigrateResourcesRequest.newBuilder()
+            .setParent(parent)
+            .addAllMigrateResourceRequests(migrateResourceRequests)
+            .build();
+    return batchMigrateResourcesAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and
+   * datalabeling.googleapis.com to AI Platform (Unified).
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<
+          BatchMigrateResourcesResponse, BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesAsync(BatchMigrateResourcesRequest request) {
+    return batchMigrateResourcesOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and
+   * datalabeling.googleapis.com to AI Platform (Unified).
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<
+          BatchMigrateResourcesRequest,
+          BatchMigrateResourcesResponse,
+          BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesOperationCallable() {
+    return stub.batchMigrateResourcesOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and
+   * datalabeling.googleapis.com to AI Platform (Unified).
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<BatchMigrateResourcesRequest, Operation>
+      batchMigrateResourcesCallable() {
+    return stub.batchMigrateResourcesCallable();
+  }
+
+  @Override
+  public final void close() {
+    stub.close();
+  }
+
+  @Override
+  public void shutdown() {
+    stub.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return stub.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return stub.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    stub.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return stub.awaitTermination(duration, unit);
+  }
+
+  public static class SearchMigratableResourcesPagedResponse
+      extends AbstractPagedListResponse<
+          SearchMigratableResourcesRequest,
+          SearchMigratableResourcesResponse,
+          MigratableResource,
+          SearchMigratableResourcesPage,
+          SearchMigratableResourcesFixedSizeCollection> {
+
+    public static ApiFuture<SearchMigratableResourcesPagedResponse> createAsync(
+        PageContext<
+                SearchMigratableResourcesRequest,
+                SearchMigratableResourcesResponse,
+                MigratableResource>
+            context,
+        ApiFuture<SearchMigratableResourcesResponse> futureResponse) {
+      ApiFuture<SearchMigratableResourcesPage> futurePage =
+          SearchMigratableResourcesPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<SearchMigratableResourcesPage, SearchMigratableResourcesPagedResponse>() {
+            @Override
+            public SearchMigratableResourcesPagedResponse apply(
+                SearchMigratableResourcesPage input) {
+              return new SearchMigratableResourcesPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private SearchMigratableResourcesPagedResponse(SearchMigratableResourcesPage page) {
+      super(page, SearchMigratableResourcesFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class SearchMigratableResourcesPage
+      extends AbstractPage<
+          SearchMigratableResourcesRequest,
+          SearchMigratableResourcesResponse,
+          MigratableResource,
+          SearchMigratableResourcesPage> {
+
+    private SearchMigratableResourcesPage(
+        PageContext<
+                SearchMigratableResourcesRequest,
+                SearchMigratableResourcesResponse,
+                MigratableResource>
+            context,
+        SearchMigratableResourcesResponse response) {
+      super(context, response);
+    }
+
+    private static SearchMigratableResourcesPage createEmptyPage() {
+      return new SearchMigratableResourcesPage(null, null);
+    }
+
+    @Override
+    protected SearchMigratableResourcesPage createPage(
+        PageContext<
+                SearchMigratableResourcesRequest,
+                SearchMigratableResourcesResponse,
+                MigratableResource>
+            context,
+        SearchMigratableResourcesResponse response) {
+      return new SearchMigratableResourcesPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<SearchMigratableResourcesPage> createPageAsync(
+        PageContext<
+                SearchMigratableResourcesRequest,
+                SearchMigratableResourcesResponse,
+                MigratableResource>
+            context,
+        ApiFuture<SearchMigratableResourcesResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class SearchMigratableResourcesFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          SearchMigratableResourcesRequest,
+          SearchMigratableResourcesResponse,
+          MigratableResource,
+          SearchMigratableResourcesPage,
+          SearchMigratableResourcesFixedSizeCollection> {
+
+    private SearchMigratableResourcesFixedSizeCollection(
+        List<SearchMigratableResourcesPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static SearchMigratableResourcesFixedSizeCollection createEmptyCollection() {
+      return new SearchMigratableResourcesFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected SearchMigratableResourcesFixedSizeCollection createCollection(
+        List<SearchMigratableResourcesPage> pages, int collectionSize) {
+      return new SearchMigratableResourcesFixedSizeCollection(pages, collectionSize);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceSettings.java
new file mode 100644
index 000000000..db19d116a
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceSettings.java
@@ -0,0 +1,226 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientSettings;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.stub.MigrationServiceStubSettings;
+import com.google.longrunning.Operation;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link MigrationServiceClient}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of searchMigratableResources to 30 seconds:
+ *
+ * <pre>{@code
+ * MigrationServiceSettings.Builder migrationServiceSettingsBuilder =
+ *     MigrationServiceSettings.newBuilder();
+ * migrationServiceSettingsBuilder
+ *     .searchMigratableResourcesSettings()
+ *     .setRetrySettings(
+ *         migrationServiceSettingsBuilder
+ *             .searchMigratableResourcesSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * MigrationServiceSettings migrationServiceSettings = migrationServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class MigrationServiceSettings extends ClientSettings<MigrationServiceSettings> {
+
+  /** Returns the object with the settings used for calls to searchMigratableResources. */
+  public PagedCallSettings<
+          SearchMigratableResourcesRequest,
+          SearchMigratableResourcesResponse,
+          SearchMigratableResourcesPagedResponse>
+      searchMigratableResourcesSettings() {
+    return ((MigrationServiceStubSettings) getStubSettings()).searchMigratableResourcesSettings();
+  }
+
+  /** Returns the object with the settings used for calls to batchMigrateResources. */
+  public UnaryCallSettings<BatchMigrateResourcesRequest, Operation>
+      batchMigrateResourcesSettings() {
+    return ((MigrationServiceStubSettings) getStubSettings()).batchMigrateResourcesSettings();
+  }
+
+  /** Returns the object with the settings used for calls to batchMigrateResources. */
+  public OperationCallSettings<
+          BatchMigrateResourcesRequest,
+          BatchMigrateResourcesResponse,
+          BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesOperationSettings() {
+    return ((MigrationServiceStubSettings) getStubSettings())
+        .batchMigrateResourcesOperationSettings();
+  }
+
+  public static final MigrationServiceSettings create(MigrationServiceStubSettings stub)
+      throws IOException {
+    return new MigrationServiceSettings.Builder(stub.toBuilder()).build();
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return MigrationServiceStubSettings.defaultExecutorProviderBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return MigrationServiceStubSettings.getDefaultEndpoint();
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return MigrationServiceStubSettings.getDefaultServiceScopes();
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return MigrationServiceStubSettings.defaultCredentialsProviderBuilder();
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return MigrationServiceStubSettings.defaultGrpcTransportProviderBuilder();
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return MigrationServiceStubSettings.defaultTransportChannelProvider();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return MigrationServiceStubSettings.defaultApiClientHeaderProviderBuilder();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected MigrationServiceSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+  }
+
+  /** Builder for MigrationServiceSettings. */
+  public static class Builder extends ClientSettings.Builder<MigrationServiceSettings, Builder> {
+
+    protected Builder() throws IOException {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(MigrationServiceStubSettings.newBuilder(clientContext));
+    }
+
+    protected Builder(MigrationServiceSettings settings) {
+      super(settings.getStubSettings().toBuilder());
+    }
+
+    protected Builder(MigrationServiceStubSettings.Builder stubSettings) {
+      super(stubSettings);
+    }
+
+    private static Builder createDefault() {
+      return new Builder(MigrationServiceStubSettings.newBuilder());
+    }
+
+    public MigrationServiceStubSettings.Builder getStubSettingsBuilder() {
+      return ((MigrationServiceStubSettings.Builder) getStubSettings());
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(
+          getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater);
+      return this;
+    }
+
+    /** Returns the builder for the settings used for calls to searchMigratableResources. */
+    public PagedCallSettings.Builder<
+            SearchMigratableResourcesRequest,
+            SearchMigratableResourcesResponse,
+            SearchMigratableResourcesPagedResponse>
+        searchMigratableResourcesSettings() {
+      return getStubSettingsBuilder().searchMigratableResourcesSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to batchMigrateResources. */
+    public UnaryCallSettings.Builder<BatchMigrateResourcesRequest, Operation>
+        batchMigrateResourcesSettings() {
+      return getStubSettingsBuilder().batchMigrateResourcesSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to batchMigrateResources. */
+    public OperationCallSettings.Builder<
+            BatchMigrateResourcesRequest,
+            BatchMigrateResourcesResponse,
+            BatchMigrateResourcesOperationMetadata>
+        batchMigrateResourcesOperationSettings() {
+      return getStubSettingsBuilder().batchMigrateResourcesOperationSettings();
+    }
+
+    @Override
+    public MigrationServiceSettings build() throws IOException {
+      return new MigrationServiceSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java
new file mode 100644
index 000000000..ea2d1cc0b
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java
@@ -0,0 +1,1051 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.ApiFutures;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.api.gax.paging.AbstractFixedSizeCollection;
+import com.google.api.gax.paging.AbstractPage;
+import com.google.api.gax.paging.AbstractPagedListResponse;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.stub.ModelServiceStub;
+import com.google.cloud.aiplatform.v1.stub.ModelServiceStubSettings;
+import com.google.common.util.concurrent.MoreExecutors;
+import com.google.longrunning.Operation;
+import com.google.longrunning.OperationsClient;
+import com.google.protobuf.Empty;
+import com.google.protobuf.FieldMask;
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Service Description: A service for managing AI Platform's machine learning Models.
+ *
+ * <p>This class provides the ability to make remote calls to the backing service through method
+ * calls that map to API methods. Sample code to get started:
+ *
+ * <p>Note: close() needs to be called on the ModelServiceClient object to clean up resources such
+ * as threads. In the example above, try-with-resources is used, which automatically calls close().
+ *
+ * <p>The surface of this class includes several types of Java methods for each of the API's
+ * methods:
+ *
+ * <ol>
+ *   <li>A "flattened" method. With this type of method, the fields of the request type have been
+ *       converted into function parameters. It may be the case that not all fields are available as
+ *       parameters, and not every API method will have a flattened method entry point.
+ *   <li>A "request object" method. This type of method only takes one parameter, a request object,
+ *       which must be constructed before the call. Not every API method will have a request object
+ *       method.
+ *   <li>A "callable" method. This type of method takes no parameters and returns an immutable API
+ *       callable object, which can be used to initiate calls to the service.
+ * </ol>
+ *
+ * <p>See the individual methods for example code.
+ *
+ * <p>Many parameters require resource names to be formatted in a particular way. To assist with
+ * these names, this class includes a format method for each type of name, and additionally a parse
+ * method to extract the individual identifiers contained within names that are returned.
+ *
+ * <p>This class can be customized by passing in a custom instance of ModelServiceSettings to
+ * create(). For example:
+ *
+ * <p>To customize credentials:
+ *
+ * <pre>{@code
+ * ModelServiceSettings modelServiceSettings =
+ *     ModelServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings);
+ * }</pre>
+ *
+ * <p>To customize the endpoint:
+ *
+ * <pre>{@code
+ * ModelServiceSettings modelServiceSettings =
+ *     ModelServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings);
+ * }</pre>
+ *
+ * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
+ */
+@Generated("by gapic-generator-java")
+public class ModelServiceClient implements BackgroundResource {
+  private final ModelServiceSettings settings;
+  private final ModelServiceStub stub;
+  private final OperationsClient operationsClient;
+
+  /** Constructs an instance of ModelServiceClient with default settings. */
+  public static final ModelServiceClient create() throws IOException {
+    return create(ModelServiceSettings.newBuilder().build());
+  }
+
+  /**
+   * Constructs an instance of ModelServiceClient, using the given settings. The channels are
+   * created based on the settings passed in, or defaults for any settings that are not set.
+   */
+  public static final ModelServiceClient create(ModelServiceSettings settings) throws IOException {
+    return new ModelServiceClient(settings);
+  }
+
+  /**
+   * Constructs an instance of ModelServiceClient, using the given stub for making calls. This is
+   * for advanced usage - prefer using create(ModelServiceSettings).
+   */
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public static final ModelServiceClient create(ModelServiceStub stub) {
+    return new ModelServiceClient(stub);
+  }
+
+  /**
+   * Constructs an instance of ModelServiceClient, using the given settings. This is protected so
+   * that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected ModelServiceClient(ModelServiceSettings settings) throws IOException {
+    this.settings = settings;
+    this.stub = ((ModelServiceStubSettings) settings.getStubSettings()).createStub();
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  protected ModelServiceClient(ModelServiceStub stub) {
+    this.settings = null;
+    this.stub = stub;
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  public final ModelServiceSettings getSettings() {
+    return settings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public ModelServiceStub getStub() {
+    return stub;
+  }
+
+  /**
+   * Returns the OperationsClient that can be used to query the status of a long-running operation
+   * returned by another API method call.
+   */
+  public final OperationsClient getOperationsClient() {
+    return operationsClient;
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Uploads a Model artifact into AI Platform.
+   *
+   * @param parent Required. The resource name of the Location into which to upload the Model.
+   *     Format: `projects/{project}/locations/{location}`
+   * @param model Required. The Model to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<UploadModelResponse, UploadModelOperationMetadata> uploadModelAsync(
+      LocationName parent, Model model) {
+    UploadModelRequest request =
+        UploadModelRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setModel(model)
+            .build();
+    return uploadModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Uploads a Model artifact into AI Platform.
+   *
+   * @param parent Required. The resource name of the Location into which to upload the Model.
+   *     Format: `projects/{project}/locations/{location}`
+   * @param model Required. The Model to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<UploadModelResponse, UploadModelOperationMetadata> uploadModelAsync(
+      String parent, Model model) {
+    UploadModelRequest request =
+        UploadModelRequest.newBuilder().setParent(parent).setModel(model).build();
+    return uploadModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Uploads a Model artifact into AI Platform.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<UploadModelResponse, UploadModelOperationMetadata> uploadModelAsync(
+      UploadModelRequest request) {
+    return uploadModelOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Uploads a Model artifact into AI Platform.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<
+          UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+      uploadModelOperationCallable() {
+    return stub.uploadModelOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Uploads a Model artifact into AI Platform.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<UploadModelRequest, Operation> uploadModelCallable() {
+    return stub.uploadModelCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a Model.
+   *
+   * @param name Required. The name of the Model resource. Format:
+   *     `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Model getModel(ModelName name) {
+    GetModelRequest request =
+        GetModelRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    return getModel(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a Model.
+   *
+   * @param name Required. The name of the Model resource. Format:
+   *     `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Model getModel(String name) {
+    GetModelRequest request = GetModelRequest.newBuilder().setName(name).build();
+    return getModel(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a Model.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Model getModel(GetModelRequest request) {
+    return getModelCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a Model.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetModelRequest, Model> getModelCallable() {
+    return stub.getModelCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Models in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the Models from. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelsPagedResponse listModels(LocationName parent) {
+    ListModelsRequest request =
+        ListModelsRequest.newBuilder().setParent(parent == null ? null : parent.toString()).build();
+    return listModels(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Models in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the Models from. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelsPagedResponse listModels(String parent) {
+    ListModelsRequest request = ListModelsRequest.newBuilder().setParent(parent).build();
+    return listModels(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Models in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelsPagedResponse listModels(ListModelsRequest request) {
+    return listModelsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Models in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListModelsRequest, ListModelsPagedResponse> listModelsPagedCallable() {
+    return stub.listModelsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists Models in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCallable() {
+    return stub.listModelsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a Model.
+   *
+   * @param model Required. The Model which replaces the resource on the server.
+   * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
+   *     definition, see [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Model updateModel(Model model, FieldMask updateMask) {
+    UpdateModelRequest request =
+        UpdateModelRequest.newBuilder().setModel(model).setUpdateMask(updateMask).build();
+    return updateModel(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a Model.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final Model updateModel(UpdateModelRequest request) {
+    return updateModelCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a Model.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<UpdateModelRequest, Model> updateModelCallable() {
+    return stub.updateModelCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from
+   * it.
+   *
+   * @param name Required. The name of the Model resource to be deleted. Format:
+   *     `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteModelAsync(ModelName name) {
+    DeleteModelRequest request =
+        DeleteModelRequest.newBuilder().setName(name == null ? null : name.toString()).build();
+    return deleteModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from
+   * it.
+   *
+   * @param name Required. The name of the Model resource to be deleted. Format:
+   *     `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteModelAsync(String name) {
+    DeleteModelRequest request = DeleteModelRequest.newBuilder().setName(name).build();
+    return deleteModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from
+   * it.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteModelAsync(
+      DeleteModelRequest request) {
+    return deleteModelOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from
+   * it.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<DeleteModelRequest, Empty, DeleteOperationMetadata>
+      deleteModelOperationCallable() {
+    return stub.deleteModelOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from
+   * it.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteModelRequest, Operation> deleteModelCallable() {
+    return stub.deleteModelCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports a trained, exportable, Model to a location specified by the user. A Model is considered
+   * to be exportable if it has at least one [supported export
+   * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+   *
+   * @param name Required. The resource name of the Model to export. Format:
+   *     `projects/{project}/locations/{location}/models/{model}`
+   * @param outputConfig Required. The desired output location and configuration.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ExportModelResponse, ExportModelOperationMetadata> exportModelAsync(
+      ModelName name, ExportModelRequest.OutputConfig outputConfig) {
+    ExportModelRequest request =
+        ExportModelRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .setOutputConfig(outputConfig)
+            .build();
+    return exportModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports a trained, exportable, Model to a location specified by the user. A Model is considered
+   * to be exportable if it has at least one [supported export
+   * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+   *
+   * @param name Required. The resource name of the Model to export. Format:
+   *     `projects/{project}/locations/{location}/models/{model}`
+   * @param outputConfig Required. The desired output location and configuration.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ExportModelResponse, ExportModelOperationMetadata> exportModelAsync(
+      String name, ExportModelRequest.OutputConfig outputConfig) {
+    ExportModelRequest request =
+        ExportModelRequest.newBuilder().setName(name).setOutputConfig(outputConfig).build();
+    return exportModelAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports a trained, exportable, Model to a location specified by the user. A Model is considered
+   * to be exportable if it has at least one [supported export
+   * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<ExportModelResponse, ExportModelOperationMetadata> exportModelAsync(
+      ExportModelRequest request) {
+    return exportModelOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports a trained, exportable, Model to a location specified by the user. A Model is considered
+   * to be exportable if it has at least one [supported export
+   * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<
+          ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+      exportModelOperationCallable() {
+    return stub.exportModelOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Exports a trained, exportable, Model to a location specified by the user. A Model is considered
+   * to be exportable if it has at least one [supported export
+   * format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ExportModelRequest, Operation> exportModelCallable() {
+    return stub.exportModelCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a ModelEvaluation.
+   *
+   * @param name Required. The name of the ModelEvaluation resource. Format:
+   *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ModelEvaluation getModelEvaluation(ModelEvaluationName name) {
+    GetModelEvaluationRequest request =
+        GetModelEvaluationRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return getModelEvaluation(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a ModelEvaluation.
+   *
+   * @param name Required. The name of the ModelEvaluation resource. Format:
+   *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ModelEvaluation getModelEvaluation(String name) {
+    GetModelEvaluationRequest request =
+        GetModelEvaluationRequest.newBuilder().setName(name).build();
+    return getModelEvaluation(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a ModelEvaluation.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ModelEvaluation getModelEvaluation(GetModelEvaluationRequest request) {
+    return getModelEvaluationCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a ModelEvaluation.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetModelEvaluationRequest, ModelEvaluation>
+      getModelEvaluationCallable() {
+    return stub.getModelEvaluationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluations in a Model.
+   *
+   * @param parent Required. The resource name of the Model to list the ModelEvaluations from.
+   *     Format: `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelEvaluationsPagedResponse listModelEvaluations(ModelName parent) {
+    ListModelEvaluationsRequest request =
+        ListModelEvaluationsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listModelEvaluations(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluations in a Model.
+   *
+   * @param parent Required. The resource name of the Model to list the ModelEvaluations from.
+   *     Format: `projects/{project}/locations/{location}/models/{model}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelEvaluationsPagedResponse listModelEvaluations(String parent) {
+    ListModelEvaluationsRequest request =
+        ListModelEvaluationsRequest.newBuilder().setParent(parent).build();
+    return listModelEvaluations(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluations in a Model.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelEvaluationsPagedResponse listModelEvaluations(
+      ListModelEvaluationsRequest request) {
+    return listModelEvaluationsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluations in a Model.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsPagedResponse>
+      listModelEvaluationsPagedCallable() {
+    return stub.listModelEvaluationsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluations in a Model.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsResponse>
+      listModelEvaluationsCallable() {
+    return stub.listModelEvaluationsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a ModelEvaluationSlice.
+   *
+   * @param name Required. The name of the ModelEvaluationSlice resource. Format:
+   *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ModelEvaluationSlice getModelEvaluationSlice(ModelEvaluationSliceName name) {
+    GetModelEvaluationSliceRequest request =
+        GetModelEvaluationSliceRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return getModelEvaluationSlice(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a ModelEvaluationSlice.
+   *
+   * @param name Required. The name of the ModelEvaluationSlice resource. Format:
+   *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ModelEvaluationSlice getModelEvaluationSlice(String name) {
+    GetModelEvaluationSliceRequest request =
+        GetModelEvaluationSliceRequest.newBuilder().setName(name).build();
+    return getModelEvaluationSlice(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a ModelEvaluationSlice.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ModelEvaluationSlice getModelEvaluationSlice(
+      GetModelEvaluationSliceRequest request) {
+    return getModelEvaluationSliceCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a ModelEvaluationSlice.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+      getModelEvaluationSliceCallable() {
+    return stub.getModelEvaluationSliceCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluationSlices in a ModelEvaluation.
+   *
+   * @param parent Required. The resource name of the ModelEvaluation to list the
+   *     ModelEvaluationSlices from. Format:
+   *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(
+      ModelEvaluationName parent) {
+    ListModelEvaluationSlicesRequest request =
+        ListModelEvaluationSlicesRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listModelEvaluationSlices(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluationSlices in a ModelEvaluation.
+   *
+   * @param parent Required. The resource name of the ModelEvaluation to list the
+   *     ModelEvaluationSlices from. Format:
+   *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(String parent) {
+    ListModelEvaluationSlicesRequest request =
+        ListModelEvaluationSlicesRequest.newBuilder().setParent(parent).build();
+    return listModelEvaluationSlices(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluationSlices in a ModelEvaluation.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(
+      ListModelEvaluationSlicesRequest request) {
+    return listModelEvaluationSlicesPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluationSlices in a ModelEvaluation.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<
+          ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesPagedResponse>
+      listModelEvaluationSlicesPagedCallable() {
+    return stub.listModelEvaluationSlicesPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists ModelEvaluationSlices in a ModelEvaluation.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
+      listModelEvaluationSlicesCallable() {
+    return stub.listModelEvaluationSlicesCallable();
+  }
+
+  @Override
+  public final void close() {
+    stub.close();
+  }
+
+  @Override
+  public void shutdown() {
+    stub.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return stub.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return stub.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    stub.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return stub.awaitTermination(duration, unit);
+  }
+
+  public static class ListModelsPagedResponse
+      extends AbstractPagedListResponse<
+          ListModelsRequest,
+          ListModelsResponse,
+          Model,
+          ListModelsPage,
+          ListModelsFixedSizeCollection> {
+
+    public static ApiFuture<ListModelsPagedResponse> createAsync(
+        PageContext<ListModelsRequest, ListModelsResponse, Model> context,
+        ApiFuture<ListModelsResponse> futureResponse) {
+      ApiFuture<ListModelsPage> futurePage =
+          ListModelsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListModelsPage, ListModelsPagedResponse>() {
+            @Override
+            public ListModelsPagedResponse apply(ListModelsPage input) {
+              return new ListModelsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListModelsPagedResponse(ListModelsPage page) {
+      super(page, ListModelsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListModelsPage
+      extends AbstractPage<ListModelsRequest, ListModelsResponse, Model, ListModelsPage> {
+
+    private ListModelsPage(
+        PageContext<ListModelsRequest, ListModelsResponse, Model> context,
+        ListModelsResponse response) {
+      super(context, response);
+    }
+
+    private static ListModelsPage createEmptyPage() {
+      return new ListModelsPage(null, null);
+    }
+
+    @Override
+    protected ListModelsPage createPage(
+        PageContext<ListModelsRequest, ListModelsResponse, Model> context,
+        ListModelsResponse response) {
+      return new ListModelsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListModelsPage> createPageAsync(
+        PageContext<ListModelsRequest, ListModelsResponse, Model> context,
+        ApiFuture<ListModelsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListModelsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListModelsRequest,
+          ListModelsResponse,
+          Model,
+          ListModelsPage,
+          ListModelsFixedSizeCollection> {
+
+    private ListModelsFixedSizeCollection(List<ListModelsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListModelsFixedSizeCollection createEmptyCollection() {
+      return new ListModelsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListModelsFixedSizeCollection createCollection(
+        List<ListModelsPage> pages, int collectionSize) {
+      return new ListModelsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+
+  public static class ListModelEvaluationsPagedResponse
+      extends AbstractPagedListResponse<
+          ListModelEvaluationsRequest,
+          ListModelEvaluationsResponse,
+          ModelEvaluation,
+          ListModelEvaluationsPage,
+          ListModelEvaluationsFixedSizeCollection> {
+
+    public static ApiFuture<ListModelEvaluationsPagedResponse> createAsync(
+        PageContext<ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation>
+            context,
+        ApiFuture<ListModelEvaluationsResponse> futureResponse) {
+      ApiFuture<ListModelEvaluationsPage> futurePage =
+          ListModelEvaluationsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListModelEvaluationsPage, ListModelEvaluationsPagedResponse>() {
+            @Override
+            public ListModelEvaluationsPagedResponse apply(ListModelEvaluationsPage input) {
+              return new ListModelEvaluationsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListModelEvaluationsPagedResponse(ListModelEvaluationsPage page) {
+      super(page, ListModelEvaluationsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListModelEvaluationsPage
+      extends AbstractPage<
+          ListModelEvaluationsRequest,
+          ListModelEvaluationsResponse,
+          ModelEvaluation,
+          ListModelEvaluationsPage> {
+
+    private ListModelEvaluationsPage(
+        PageContext<ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation>
+            context,
+        ListModelEvaluationsResponse response) {
+      super(context, response);
+    }
+
+    private static ListModelEvaluationsPage createEmptyPage() {
+      return new ListModelEvaluationsPage(null, null);
+    }
+
+    @Override
+    protected ListModelEvaluationsPage createPage(
+        PageContext<ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation>
+            context,
+        ListModelEvaluationsResponse response) {
+      return new ListModelEvaluationsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListModelEvaluationsPage> createPageAsync(
+        PageContext<ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation>
+            context,
+        ApiFuture<ListModelEvaluationsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListModelEvaluationsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListModelEvaluationsRequest,
+          ListModelEvaluationsResponse,
+          ModelEvaluation,
+          ListModelEvaluationsPage,
+          ListModelEvaluationsFixedSizeCollection> {
+
+    private ListModelEvaluationsFixedSizeCollection(
+        List<ListModelEvaluationsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListModelEvaluationsFixedSizeCollection createEmptyCollection() {
+      return new ListModelEvaluationsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListModelEvaluationsFixedSizeCollection createCollection(
+        List<ListModelEvaluationsPage> pages, int collectionSize) {
+      return new ListModelEvaluationsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+
+  public static class ListModelEvaluationSlicesPagedResponse
+      extends AbstractPagedListResponse<
+          ListModelEvaluationSlicesRequest,
+          ListModelEvaluationSlicesResponse,
+          ModelEvaluationSlice,
+          ListModelEvaluationSlicesPage,
+          ListModelEvaluationSlicesFixedSizeCollection> {
+
+    public static ApiFuture<ListModelEvaluationSlicesPagedResponse> createAsync(
+        PageContext<
+                ListModelEvaluationSlicesRequest,
+                ListModelEvaluationSlicesResponse,
+                ModelEvaluationSlice>
+            context,
+        ApiFuture<ListModelEvaluationSlicesResponse> futureResponse) {
+      ApiFuture<ListModelEvaluationSlicesPage> futurePage =
+          ListModelEvaluationSlicesPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListModelEvaluationSlicesPage, ListModelEvaluationSlicesPagedResponse>() {
+            @Override
+            public ListModelEvaluationSlicesPagedResponse apply(
+                ListModelEvaluationSlicesPage input) {
+              return new ListModelEvaluationSlicesPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListModelEvaluationSlicesPagedResponse(ListModelEvaluationSlicesPage page) {
+      super(page, ListModelEvaluationSlicesFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListModelEvaluationSlicesPage
+      extends AbstractPage<
+          ListModelEvaluationSlicesRequest,
+          ListModelEvaluationSlicesResponse,
+          ModelEvaluationSlice,
+          ListModelEvaluationSlicesPage> {
+
+    private ListModelEvaluationSlicesPage(
+        PageContext<
+                ListModelEvaluationSlicesRequest,
+                ListModelEvaluationSlicesResponse,
+                ModelEvaluationSlice>
+            context,
+        ListModelEvaluationSlicesResponse response) {
+      super(context, response);
+    }
+
+    private static ListModelEvaluationSlicesPage createEmptyPage() {
+      return new ListModelEvaluationSlicesPage(null, null);
+    }
+
+    @Override
+    protected ListModelEvaluationSlicesPage createPage(
+        PageContext<
+                ListModelEvaluationSlicesRequest,
+                ListModelEvaluationSlicesResponse,
+                ModelEvaluationSlice>
+            context,
+        ListModelEvaluationSlicesResponse response) {
+      return new ListModelEvaluationSlicesPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListModelEvaluationSlicesPage> createPageAsync(
+        PageContext<
+                ListModelEvaluationSlicesRequest,
+                ListModelEvaluationSlicesResponse,
+                ModelEvaluationSlice>
+            context,
+        ApiFuture<ListModelEvaluationSlicesResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListModelEvaluationSlicesFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListModelEvaluationSlicesRequest,
+          ListModelEvaluationSlicesResponse,
+          ModelEvaluationSlice,
+          ListModelEvaluationSlicesPage,
+          ListModelEvaluationSlicesFixedSizeCollection> {
+
+    private ListModelEvaluationSlicesFixedSizeCollection(
+        List<ListModelEvaluationSlicesPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListModelEvaluationSlicesFixedSizeCollection createEmptyCollection() {
+      return new ListModelEvaluationSlicesFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListModelEvaluationSlicesFixedSizeCollection createCollection(
+        List<ListModelEvaluationSlicesPage> pages, int collectionSize) {
+      return new ListModelEvaluationSlicesFixedSizeCollection(pages, collectionSize);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceSettings.java
new file mode 100644
index 000000000..463e2e324
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceSettings.java
@@ -0,0 +1,341 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationSlicesPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientSettings;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.stub.ModelServiceStubSettings;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link ModelServiceClient}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of getModel to 30 seconds:
+ *
+ * <pre>{@code
+ * ModelServiceSettings.Builder modelServiceSettingsBuilder = ModelServiceSettings.newBuilder();
+ * modelServiceSettingsBuilder
+ *     .getModelSettings()
+ *     .setRetrySettings(
+ *         modelServiceSettingsBuilder
+ *             .getModelSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * ModelServiceSettings modelServiceSettings = modelServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class ModelServiceSettings extends ClientSettings<ModelServiceSettings> {
+
+  /** Returns the object with the settings used for calls to uploadModel. */
+  public UnaryCallSettings<UploadModelRequest, Operation> uploadModelSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).uploadModelSettings();
+  }
+
+  /** Returns the object with the settings used for calls to uploadModel. */
+  public OperationCallSettings<
+          UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+      uploadModelOperationSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).uploadModelOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getModel. */
+  public UnaryCallSettings<GetModelRequest, Model> getModelSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).getModelSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listModels. */
+  public PagedCallSettings<ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>
+      listModelsSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).listModelsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to updateModel. */
+  public UnaryCallSettings<UpdateModelRequest, Model> updateModelSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).updateModelSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteModel. */
+  public UnaryCallSettings<DeleteModelRequest, Operation> deleteModelSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).deleteModelSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteModel. */
+  public OperationCallSettings<DeleteModelRequest, Empty, DeleteOperationMetadata>
+      deleteModelOperationSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).deleteModelOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to exportModel. */
+  public UnaryCallSettings<ExportModelRequest, Operation> exportModelSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).exportModelSettings();
+  }
+
+  /** Returns the object with the settings used for calls to exportModel. */
+  public OperationCallSettings<
+          ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+      exportModelOperationSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).exportModelOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getModelEvaluation. */
+  public UnaryCallSettings<GetModelEvaluationRequest, ModelEvaluation>
+      getModelEvaluationSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).getModelEvaluationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listModelEvaluations. */
+  public PagedCallSettings<
+          ListModelEvaluationsRequest,
+          ListModelEvaluationsResponse,
+          ListModelEvaluationsPagedResponse>
+      listModelEvaluationsSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).listModelEvaluationsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getModelEvaluationSlice. */
+  public UnaryCallSettings<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+      getModelEvaluationSliceSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).getModelEvaluationSliceSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listModelEvaluationSlices. */
+  public PagedCallSettings<
+          ListModelEvaluationSlicesRequest,
+          ListModelEvaluationSlicesResponse,
+          ListModelEvaluationSlicesPagedResponse>
+      listModelEvaluationSlicesSettings() {
+    return ((ModelServiceStubSettings) getStubSettings()).listModelEvaluationSlicesSettings();
+  }
+
+  public static final ModelServiceSettings create(ModelServiceStubSettings stub)
+      throws IOException {
+    return new ModelServiceSettings.Builder(stub.toBuilder()).build();
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return ModelServiceStubSettings.defaultExecutorProviderBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return ModelServiceStubSettings.getDefaultEndpoint();
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return ModelServiceStubSettings.getDefaultServiceScopes();
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return ModelServiceStubSettings.defaultCredentialsProviderBuilder();
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return ModelServiceStubSettings.defaultGrpcTransportProviderBuilder();
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return ModelServiceStubSettings.defaultTransportChannelProvider();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ModelServiceStubSettings.defaultApiClientHeaderProviderBuilder();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected ModelServiceSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+  }
+
+  /** Builder for ModelServiceSettings. */
+  public static class Builder extends ClientSettings.Builder<ModelServiceSettings, Builder> {
+
+    protected Builder() throws IOException {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(ModelServiceStubSettings.newBuilder(clientContext));
+    }
+
+    protected Builder(ModelServiceSettings settings) {
+      super(settings.getStubSettings().toBuilder());
+    }
+
+    protected Builder(ModelServiceStubSettings.Builder stubSettings) {
+      super(stubSettings);
+    }
+
+    private static Builder createDefault() {
+      return new Builder(ModelServiceStubSettings.newBuilder());
+    }
+
+    public ModelServiceStubSettings.Builder getStubSettingsBuilder() {
+      return ((ModelServiceStubSettings.Builder) getStubSettings());
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(
+          getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater);
+      return this;
+    }
+
+    /** Returns the builder for the settings used for calls to uploadModel. */
+    public UnaryCallSettings.Builder<UploadModelRequest, Operation> uploadModelSettings() {
+      return getStubSettingsBuilder().uploadModelSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to uploadModel. */
+    public OperationCallSettings.Builder<
+            UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+        uploadModelOperationSettings() {
+      return getStubSettingsBuilder().uploadModelOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getModel. */
+    public UnaryCallSettings.Builder<GetModelRequest, Model> getModelSettings() {
+      return getStubSettingsBuilder().getModelSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listModels. */
+    public PagedCallSettings.Builder<ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>
+        listModelsSettings() {
+      return getStubSettingsBuilder().listModelsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to updateModel. */
+    public UnaryCallSettings.Builder<UpdateModelRequest, Model> updateModelSettings() {
+      return getStubSettingsBuilder().updateModelSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteModel. */
+    public UnaryCallSettings.Builder<DeleteModelRequest, Operation> deleteModelSettings() {
+      return getStubSettingsBuilder().deleteModelSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteModel. */
+    public OperationCallSettings.Builder<DeleteModelRequest, Empty, DeleteOperationMetadata>
+        deleteModelOperationSettings() {
+      return getStubSettingsBuilder().deleteModelOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to exportModel. */
+    public UnaryCallSettings.Builder<ExportModelRequest, Operation> exportModelSettings() {
+      return getStubSettingsBuilder().exportModelSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to exportModel. */
+    public OperationCallSettings.Builder<
+            ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+        exportModelOperationSettings() {
+      return getStubSettingsBuilder().exportModelOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getModelEvaluation. */
+    public UnaryCallSettings.Builder<GetModelEvaluationRequest, ModelEvaluation>
+        getModelEvaluationSettings() {
+      return getStubSettingsBuilder().getModelEvaluationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listModelEvaluations. */
+    public PagedCallSettings.Builder<
+            ListModelEvaluationsRequest,
+            ListModelEvaluationsResponse,
+            ListModelEvaluationsPagedResponse>
+        listModelEvaluationsSettings() {
+      return getStubSettingsBuilder().listModelEvaluationsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getModelEvaluationSlice. */
+    public UnaryCallSettings.Builder<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+        getModelEvaluationSliceSettings() {
+      return getStubSettingsBuilder().getModelEvaluationSliceSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listModelEvaluationSlices. */
+    public PagedCallSettings.Builder<
+            ListModelEvaluationSlicesRequest,
+            ListModelEvaluationSlicesResponse,
+            ListModelEvaluationSlicesPagedResponse>
+        listModelEvaluationSlicesSettings() {
+      return getStubSettingsBuilder().listModelEvaluationSlicesSettings();
+    }
+
+    @Override
+    public ModelServiceSettings build() throws IOException {
+      return new ModelServiceSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceClient.java
new file mode 100644
index 000000000..b95b13edb
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceClient.java
@@ -0,0 +1,614 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.ApiFutures;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.api.gax.paging.AbstractFixedSizeCollection;
+import com.google.api.gax.paging.AbstractPage;
+import com.google.api.gax.paging.AbstractPagedListResponse;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.stub.PipelineServiceStub;
+import com.google.cloud.aiplatform.v1.stub.PipelineServiceStubSettings;
+import com.google.common.util.concurrent.MoreExecutors;
+import com.google.longrunning.Operation;
+import com.google.longrunning.OperationsClient;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Service Description: A service for creating and managing AI Platform's pipelines.
+ *
+ * <p>This class provides the ability to make remote calls to the backing service through method
+ * calls that map to API methods. Sample code to get started:
+ *
+ * <p>Note: close() needs to be called on the PipelineServiceClient object to clean up resources
+ * such as threads. In the example above, try-with-resources is used, which automatically calls
+ * close().
+ *
+ * <p>The surface of this class includes several types of Java methods for each of the API's
+ * methods:
+ *
+ * <ol>
+ *   <li>A "flattened" method. With this type of method, the fields of the request type have been
+ *       converted into function parameters. It may be the case that not all fields are available as
+ *       parameters, and not every API method will have a flattened method entry point.
+ *   <li>A "request object" method. This type of method only takes one parameter, a request object,
+ *       which must be constructed before the call. Not every API method will have a request object
+ *       method.
+ *   <li>A "callable" method. This type of method takes no parameters and returns an immutable API
+ *       callable object, which can be used to initiate calls to the service.
+ * </ol>
+ *
+ * <p>See the individual methods for example code.
+ *
+ * <p>Many parameters require resource names to be formatted in a particular way. To assist with
+ * these names, this class includes a format method for each type of name, and additionally a parse
+ * method to extract the individual identifiers contained within names that are returned.
+ *
+ * <p>This class can be customized by passing in a custom instance of PipelineServiceSettings to
+ * create(). For example:
+ *
+ * <p>To customize credentials:
+ *
+ * <pre>{@code
+ * PipelineServiceSettings pipelineServiceSettings =
+ *     PipelineServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * PipelineServiceClient pipelineServiceClient =
+ *     PipelineServiceClient.create(pipelineServiceSettings);
+ * }</pre>
+ *
+ * <p>To customize the endpoint:
+ *
+ * <pre>{@code
+ * PipelineServiceSettings pipelineServiceSettings =
+ *     PipelineServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * PipelineServiceClient pipelineServiceClient =
+ *     PipelineServiceClient.create(pipelineServiceSettings);
+ * }</pre>
+ *
+ * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
+ */
+@Generated("by gapic-generator-java")
+public class PipelineServiceClient implements BackgroundResource {
+  private final PipelineServiceSettings settings;
+  private final PipelineServiceStub stub;
+  private final OperationsClient operationsClient;
+
+  /** Constructs an instance of PipelineServiceClient with default settings. */
+  public static final PipelineServiceClient create() throws IOException {
+    return create(PipelineServiceSettings.newBuilder().build());
+  }
+
+  /**
+   * Constructs an instance of PipelineServiceClient, using the given settings. The channels are
+   * created based on the settings passed in, or defaults for any settings that are not set.
+   */
+  public static final PipelineServiceClient create(PipelineServiceSettings settings)
+      throws IOException {
+    return new PipelineServiceClient(settings);
+  }
+
+  /**
+   * Constructs an instance of PipelineServiceClient, using the given stub for making calls. This is
+   * for advanced usage - prefer using create(PipelineServiceSettings).
+   */
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public static final PipelineServiceClient create(PipelineServiceStub stub) {
+    return new PipelineServiceClient(stub);
+  }
+
+  /**
+   * Constructs an instance of PipelineServiceClient, using the given settings. This is protected so
+   * that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected PipelineServiceClient(PipelineServiceSettings settings) throws IOException {
+    this.settings = settings;
+    this.stub = ((PipelineServiceStubSettings) settings.getStubSettings()).createStub();
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  protected PipelineServiceClient(PipelineServiceStub stub) {
+    this.settings = null;
+    this.stub = stub;
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  public final PipelineServiceSettings getSettings() {
+    return settings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public PipelineServiceStub getStub() {
+    return stub;
+  }
+
+  /**
+   * Returns the OperationsClient that can be used to query the status of a long-running operation
+   * returned by another API method call.
+   */
+  public final OperationsClient getOperationsClient() {
+    return operationsClient;
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
+   *
+   * @param parent Required. The resource name of the Location to create the TrainingPipeline in.
+   *     Format: `projects/{project}/locations/{location}`
+   * @param trainingPipeline Required. The TrainingPipeline to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final TrainingPipeline createTrainingPipeline(
+      LocationName parent, TrainingPipeline trainingPipeline) {
+    CreateTrainingPipelineRequest request =
+        CreateTrainingPipelineRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setTrainingPipeline(trainingPipeline)
+            .build();
+    return createTrainingPipeline(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
+   *
+   * @param parent Required. The resource name of the Location to create the TrainingPipeline in.
+   *     Format: `projects/{project}/locations/{location}`
+   * @param trainingPipeline Required. The TrainingPipeline to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final TrainingPipeline createTrainingPipeline(
+      String parent, TrainingPipeline trainingPipeline) {
+    CreateTrainingPipelineRequest request =
+        CreateTrainingPipelineRequest.newBuilder()
+            .setParent(parent)
+            .setTrainingPipeline(trainingPipeline)
+            .build();
+    return createTrainingPipeline(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final TrainingPipeline createTrainingPipeline(CreateTrainingPipelineRequest request) {
+    return createTrainingPipelineCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CreateTrainingPipelineRequest, TrainingPipeline>
+      createTrainingPipelineCallable() {
+    return stub.createTrainingPipelineCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a TrainingPipeline.
+   *
+   * @param name Required. The name of the TrainingPipeline resource. Format:
+   *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final TrainingPipeline getTrainingPipeline(TrainingPipelineName name) {
+    GetTrainingPipelineRequest request =
+        GetTrainingPipelineRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return getTrainingPipeline(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a TrainingPipeline.
+   *
+   * @param name Required. The name of the TrainingPipeline resource. Format:
+   *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final TrainingPipeline getTrainingPipeline(String name) {
+    GetTrainingPipelineRequest request =
+        GetTrainingPipelineRequest.newBuilder().setName(name).build();
+    return getTrainingPipeline(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a TrainingPipeline.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final TrainingPipeline getTrainingPipeline(GetTrainingPipelineRequest request) {
+    return getTrainingPipelineCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a TrainingPipeline.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetTrainingPipelineRequest, TrainingPipeline>
+      getTrainingPipelineCallable() {
+    return stub.getTrainingPipelineCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists TrainingPipelines in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the TrainingPipelines from.
+   *     Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListTrainingPipelinesPagedResponse listTrainingPipelines(LocationName parent) {
+    ListTrainingPipelinesRequest request =
+        ListTrainingPipelinesRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listTrainingPipelines(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists TrainingPipelines in a Location.
+   *
+   * @param parent Required. The resource name of the Location to list the TrainingPipelines from.
+   *     Format: `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListTrainingPipelinesPagedResponse listTrainingPipelines(String parent) {
+    ListTrainingPipelinesRequest request =
+        ListTrainingPipelinesRequest.newBuilder().setParent(parent).build();
+    return listTrainingPipelines(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists TrainingPipelines in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListTrainingPipelinesPagedResponse listTrainingPipelines(
+      ListTrainingPipelinesRequest request) {
+    return listTrainingPipelinesPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists TrainingPipelines in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesPagedResponse>
+      listTrainingPipelinesPagedCallable() {
+    return stub.listTrainingPipelinesPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists TrainingPipelines in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>
+      listTrainingPipelinesCallable() {
+    return stub.listTrainingPipelinesCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a TrainingPipeline.
+   *
+   * @param name Required. The name of the TrainingPipeline resource to be deleted. Format:
+   *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteTrainingPipelineAsync(
+      TrainingPipelineName name) {
+    DeleteTrainingPipelineRequest request =
+        DeleteTrainingPipelineRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return deleteTrainingPipelineAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a TrainingPipeline.
+   *
+   * @param name Required. The name of the TrainingPipeline resource to be deleted. Format:
+   *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteTrainingPipelineAsync(
+      String name) {
+    DeleteTrainingPipelineRequest request =
+        DeleteTrainingPipelineRequest.newBuilder().setName(name).build();
+    return deleteTrainingPipelineAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a TrainingPipeline.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteTrainingPipelineAsync(
+      DeleteTrainingPipelineRequest request) {
+    return deleteTrainingPipelineOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a TrainingPipeline.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+      deleteTrainingPipelineOperationCallable() {
+    return stub.deleteTrainingPipelineOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a TrainingPipeline.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteTrainingPipelineRequest, Operation>
+      deleteTrainingPipelineCallable() {
+    return stub.deleteTrainingPipelineCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a TrainingPipeline. Starts asynchronous cancellation on the TrainingPipeline. The
+   * server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can
+   * use
+   * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
+   * or other methods to check whether the cancellation succeeded or whether the pipeline completed
+   * despite cancellation. On successful cancellation, the TrainingPipeline is not deleted; instead
+   * it becomes a pipeline with a
+   * [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a
+   * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
+   * [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+   * `CANCELLED`.
+   *
+   * @param name Required. The name of the TrainingPipeline to cancel. Format:
+   *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelTrainingPipeline(TrainingPipelineName name) {
+    CancelTrainingPipelineRequest request =
+        CancelTrainingPipelineRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    cancelTrainingPipeline(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a TrainingPipeline. Starts asynchronous cancellation on the TrainingPipeline. The
+   * server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can
+   * use
+   * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
+   * or other methods to check whether the cancellation succeeded or whether the pipeline completed
+   * despite cancellation. On successful cancellation, the TrainingPipeline is not deleted; instead
+   * it becomes a pipeline with a
+   * [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a
+   * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
+   * [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+   * `CANCELLED`.
+   *
+   * @param name Required. The name of the TrainingPipeline to cancel. Format:
+   *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelTrainingPipeline(String name) {
+    CancelTrainingPipelineRequest request =
+        CancelTrainingPipelineRequest.newBuilder().setName(name).build();
+    cancelTrainingPipeline(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a TrainingPipeline. Starts asynchronous cancellation on the TrainingPipeline. The
+   * server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can
+   * use
+   * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
+   * or other methods to check whether the cancellation succeeded or whether the pipeline completed
+   * despite cancellation. On successful cancellation, the TrainingPipeline is not deleted; instead
+   * it becomes a pipeline with a
+   * [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a
+   * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
+   * [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+   * `CANCELLED`.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final void cancelTrainingPipeline(CancelTrainingPipelineRequest request) {
+    cancelTrainingPipelineCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Cancels a TrainingPipeline. Starts asynchronous cancellation on the TrainingPipeline. The
+   * server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can
+   * use
+   * [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
+   * or other methods to check whether the cancellation succeeded or whether the pipeline completed
+   * despite cancellation. On successful cancellation, the TrainingPipeline is not deleted; instead
+   * it becomes a pipeline with a
+   * [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a
+   * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
+   * [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+   * `CANCELLED`.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CancelTrainingPipelineRequest, Empty>
+      cancelTrainingPipelineCallable() {
+    return stub.cancelTrainingPipelineCallable();
+  }
+
+  @Override
+  public final void close() {
+    stub.close();
+  }
+
+  @Override
+  public void shutdown() {
+    stub.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return stub.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return stub.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    stub.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return stub.awaitTermination(duration, unit);
+  }
+
+  public static class ListTrainingPipelinesPagedResponse
+      extends AbstractPagedListResponse<
+          ListTrainingPipelinesRequest,
+          ListTrainingPipelinesResponse,
+          TrainingPipeline,
+          ListTrainingPipelinesPage,
+          ListTrainingPipelinesFixedSizeCollection> {
+
+    public static ApiFuture<ListTrainingPipelinesPagedResponse> createAsync(
+        PageContext<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse, TrainingPipeline>
+            context,
+        ApiFuture<ListTrainingPipelinesResponse> futureResponse) {
+      ApiFuture<ListTrainingPipelinesPage> futurePage =
+          ListTrainingPipelinesPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListTrainingPipelinesPage, ListTrainingPipelinesPagedResponse>() {
+            @Override
+            public ListTrainingPipelinesPagedResponse apply(ListTrainingPipelinesPage input) {
+              return new ListTrainingPipelinesPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListTrainingPipelinesPagedResponse(ListTrainingPipelinesPage page) {
+      super(page, ListTrainingPipelinesFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListTrainingPipelinesPage
+      extends AbstractPage<
+          ListTrainingPipelinesRequest,
+          ListTrainingPipelinesResponse,
+          TrainingPipeline,
+          ListTrainingPipelinesPage> {
+
+    private ListTrainingPipelinesPage(
+        PageContext<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse, TrainingPipeline>
+            context,
+        ListTrainingPipelinesResponse response) {
+      super(context, response);
+    }
+
+    private static ListTrainingPipelinesPage createEmptyPage() {
+      return new ListTrainingPipelinesPage(null, null);
+    }
+
+    @Override
+    protected ListTrainingPipelinesPage createPage(
+        PageContext<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse, TrainingPipeline>
+            context,
+        ListTrainingPipelinesResponse response) {
+      return new ListTrainingPipelinesPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListTrainingPipelinesPage> createPageAsync(
+        PageContext<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse, TrainingPipeline>
+            context,
+        ApiFuture<ListTrainingPipelinesResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListTrainingPipelinesFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListTrainingPipelinesRequest,
+          ListTrainingPipelinesResponse,
+          TrainingPipeline,
+          ListTrainingPipelinesPage,
+          ListTrainingPipelinesFixedSizeCollection> {
+
+    private ListTrainingPipelinesFixedSizeCollection(
+        List<ListTrainingPipelinesPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListTrainingPipelinesFixedSizeCollection createEmptyCollection() {
+      return new ListTrainingPipelinesFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListTrainingPipelinesFixedSizeCollection createCollection(
+        List<ListTrainingPipelinesPage> pages, int collectionSize) {
+      return new ListTrainingPipelinesFixedSizeCollection(pages, collectionSize);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceSettings.java
new file mode 100644
index 000000000..5b30d3709
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceSettings.java
@@ -0,0 +1,257 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientSettings;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.stub.PipelineServiceStubSettings;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link PipelineServiceClient}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of createTrainingPipeline to 30 seconds:
+ *
+ * <pre>{@code
+ * PipelineServiceSettings.Builder pipelineServiceSettingsBuilder =
+ *     PipelineServiceSettings.newBuilder();
+ * pipelineServiceSettingsBuilder
+ *     .createTrainingPipelineSettings()
+ *     .setRetrySettings(
+ *         pipelineServiceSettingsBuilder
+ *             .createTrainingPipelineSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * PipelineServiceSettings pipelineServiceSettings = pipelineServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class PipelineServiceSettings extends ClientSettings<PipelineServiceSettings> {
+
+  /** Returns the object with the settings used for calls to createTrainingPipeline. */
+  public UnaryCallSettings<CreateTrainingPipelineRequest, TrainingPipeline>
+      createTrainingPipelineSettings() {
+    return ((PipelineServiceStubSettings) getStubSettings()).createTrainingPipelineSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getTrainingPipeline. */
+  public UnaryCallSettings<GetTrainingPipelineRequest, TrainingPipeline>
+      getTrainingPipelineSettings() {
+    return ((PipelineServiceStubSettings) getStubSettings()).getTrainingPipelineSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listTrainingPipelines. */
+  public PagedCallSettings<
+          ListTrainingPipelinesRequest,
+          ListTrainingPipelinesResponse,
+          ListTrainingPipelinesPagedResponse>
+      listTrainingPipelinesSettings() {
+    return ((PipelineServiceStubSettings) getStubSettings()).listTrainingPipelinesSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteTrainingPipeline. */
+  public UnaryCallSettings<DeleteTrainingPipelineRequest, Operation>
+      deleteTrainingPipelineSettings() {
+    return ((PipelineServiceStubSettings) getStubSettings()).deleteTrainingPipelineSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteTrainingPipeline. */
+  public OperationCallSettings<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+      deleteTrainingPipelineOperationSettings() {
+    return ((PipelineServiceStubSettings) getStubSettings())
+        .deleteTrainingPipelineOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to cancelTrainingPipeline. */
+  public UnaryCallSettings<CancelTrainingPipelineRequest, Empty> cancelTrainingPipelineSettings() {
+    return ((PipelineServiceStubSettings) getStubSettings()).cancelTrainingPipelineSettings();
+  }
+
+  public static final PipelineServiceSettings create(PipelineServiceStubSettings stub)
+      throws IOException {
+    return new PipelineServiceSettings.Builder(stub.toBuilder()).build();
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return PipelineServiceStubSettings.defaultExecutorProviderBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return PipelineServiceStubSettings.getDefaultEndpoint();
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return PipelineServiceStubSettings.getDefaultServiceScopes();
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return PipelineServiceStubSettings.defaultCredentialsProviderBuilder();
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return PipelineServiceStubSettings.defaultGrpcTransportProviderBuilder();
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return PipelineServiceStubSettings.defaultTransportChannelProvider();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return PipelineServiceStubSettings.defaultApiClientHeaderProviderBuilder();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected PipelineServiceSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+  }
+
+  /** Builder for PipelineServiceSettings. */
+  public static class Builder extends ClientSettings.Builder<PipelineServiceSettings, Builder> {
+
+    protected Builder() throws IOException {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(PipelineServiceStubSettings.newBuilder(clientContext));
+    }
+
+    protected Builder(PipelineServiceSettings settings) {
+      super(settings.getStubSettings().toBuilder());
+    }
+
+    protected Builder(PipelineServiceStubSettings.Builder stubSettings) {
+      super(stubSettings);
+    }
+
+    private static Builder createDefault() {
+      return new Builder(PipelineServiceStubSettings.newBuilder());
+    }
+
+    public PipelineServiceStubSettings.Builder getStubSettingsBuilder() {
+      return ((PipelineServiceStubSettings.Builder) getStubSettings());
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(
+          getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater);
+      return this;
+    }
+
+    /** Returns the builder for the settings used for calls to createTrainingPipeline. */
+    public UnaryCallSettings.Builder<CreateTrainingPipelineRequest, TrainingPipeline>
+        createTrainingPipelineSettings() {
+      return getStubSettingsBuilder().createTrainingPipelineSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getTrainingPipeline. */
+    public UnaryCallSettings.Builder<GetTrainingPipelineRequest, TrainingPipeline>
+        getTrainingPipelineSettings() {
+      return getStubSettingsBuilder().getTrainingPipelineSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listTrainingPipelines. */
+    public PagedCallSettings.Builder<
+            ListTrainingPipelinesRequest,
+            ListTrainingPipelinesResponse,
+            ListTrainingPipelinesPagedResponse>
+        listTrainingPipelinesSettings() {
+      return getStubSettingsBuilder().listTrainingPipelinesSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteTrainingPipeline. */
+    public UnaryCallSettings.Builder<DeleteTrainingPipelineRequest, Operation>
+        deleteTrainingPipelineSettings() {
+      return getStubSettingsBuilder().deleteTrainingPipelineSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteTrainingPipeline. */
+    public OperationCallSettings.Builder<
+            DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+        deleteTrainingPipelineOperationSettings() {
+      return getStubSettingsBuilder().deleteTrainingPipelineOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to cancelTrainingPipeline. */
+    public UnaryCallSettings.Builder<CancelTrainingPipelineRequest, Empty>
+        cancelTrainingPipelineSettings() {
+      return getStubSettingsBuilder().cancelTrainingPipelineSettings();
+    }
+
+    @Override
+    public PipelineServiceSettings build() throws IOException {
+      return new PipelineServiceSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceClient.java
new file mode 100644
index 000000000..e08a935f6
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceClient.java
@@ -0,0 +1,252 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.stub.PredictionServiceStub;
+import com.google.cloud.aiplatform.v1.stub.PredictionServiceStubSettings;
+import com.google.protobuf.Value;
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Service Description: A service for online predictions and explanations.
+ *
+ * <p>This class provides the ability to make remote calls to the backing service through method
+ * calls that map to API methods. Sample code to get started:
+ *
+ * <p>Note: close() needs to be called on the PredictionServiceClient object to clean up resources
+ * such as threads. In the example above, try-with-resources is used, which automatically calls
+ * close().
+ *
+ * <p>The surface of this class includes several types of Java methods for each of the API's
+ * methods:
+ *
+ * <ol>
+ *   <li>A "flattened" method. With this type of method, the fields of the request type have been
+ *       converted into function parameters. It may be the case that not all fields are available as
+ *       parameters, and not every API method will have a flattened method entry point.
+ *   <li>A "request object" method. This type of method only takes one parameter, a request object,
+ *       which must be constructed before the call. Not every API method will have a request object
+ *       method.
+ *   <li>A "callable" method. This type of method takes no parameters and returns an immutable API
+ *       callable object, which can be used to initiate calls to the service.
+ * </ol>
+ *
+ * <p>See the individual methods for example code.
+ *
+ * <p>Many parameters require resource names to be formatted in a particular way. To assist with
+ * these names, this class includes a format method for each type of name, and additionally a parse
+ * method to extract the individual identifiers contained within names that are returned.
+ *
+ * <p>This class can be customized by passing in a custom instance of PredictionServiceSettings to
+ * create(). For example:
+ *
+ * <p>To customize credentials:
+ *
+ * <pre>{@code
+ * PredictionServiceSettings predictionServiceSettings =
+ *     PredictionServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * PredictionServiceClient predictionServiceClient =
+ *     PredictionServiceClient.create(predictionServiceSettings);
+ * }</pre>
+ *
+ * <p>To customize the endpoint:
+ *
+ * <pre>{@code
+ * PredictionServiceSettings predictionServiceSettings =
+ *     PredictionServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * PredictionServiceClient predictionServiceClient =
+ *     PredictionServiceClient.create(predictionServiceSettings);
+ * }</pre>
+ *
+ * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
+ */
+@Generated("by gapic-generator-java")
+public class PredictionServiceClient implements BackgroundResource {
+  private final PredictionServiceSettings settings;
+  private final PredictionServiceStub stub;
+
+  /** Constructs an instance of PredictionServiceClient with default settings. */
+  public static final PredictionServiceClient create() throws IOException {
+    return create(PredictionServiceSettings.newBuilder().build());
+  }
+
+  /**
+   * Constructs an instance of PredictionServiceClient, using the given settings. The channels are
+   * created based on the settings passed in, or defaults for any settings that are not set.
+   */
+  public static final PredictionServiceClient create(PredictionServiceSettings settings)
+      throws IOException {
+    return new PredictionServiceClient(settings);
+  }
+
+  /**
+   * Constructs an instance of PredictionServiceClient, using the given stub for making calls. This
+   * is for advanced usage - prefer using create(PredictionServiceSettings).
+   */
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public static final PredictionServiceClient create(PredictionServiceStub stub) {
+    return new PredictionServiceClient(stub);
+  }
+
+  /**
+   * Constructs an instance of PredictionServiceClient, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected PredictionServiceClient(PredictionServiceSettings settings) throws IOException {
+    this.settings = settings;
+    this.stub = ((PredictionServiceStubSettings) settings.getStubSettings()).createStub();
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  protected PredictionServiceClient(PredictionServiceStub stub) {
+    this.settings = null;
+    this.stub = stub;
+  }
+
+  public final PredictionServiceSettings getSettings() {
+    return settings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public PredictionServiceStub getStub() {
+    return stub;
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Perform an online prediction.
+   *
+   * @param endpoint Required. The name of the Endpoint requested to serve the prediction. Format:
+   *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @param instances Required. The instances that are the input to the prediction call. A
+   *     DeployedModel may have an upper limit on the number of instances it supports per request,
+   *     and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of
+   *     customer created Models, the behaviour is as documented by that Model. The schema of any
+   *     single instance may be specified via Endpoint's DeployedModels'
+   *     [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   *     [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   *     [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * @param parameters The parameters that govern the prediction. The schema of the parameters may
+   *     be specified via Endpoint's DeployedModels' [Model's
+   *     ][google.cloud.aiplatform.v1.DeployedModel.model]
+   *     [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   *     [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final PredictResponse predict(
+      EndpointName endpoint, List<Value> instances, Value parameters) {
+    PredictRequest request =
+        PredictRequest.newBuilder()
+            .setEndpoint(endpoint == null ? null : endpoint.toString())
+            .addAllInstances(instances)
+            .setParameters(parameters)
+            .build();
+    return predict(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Perform an online prediction.
+   *
+   * @param endpoint Required. The name of the Endpoint requested to serve the prediction. Format:
+   *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * @param instances Required. The instances that are the input to the prediction call. A
+   *     DeployedModel may have an upper limit on the number of instances it supports per request,
+   *     and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of
+   *     customer created Models, the behaviour is as documented by that Model. The schema of any
+   *     single instance may be specified via Endpoint's DeployedModels'
+   *     [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   *     [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   *     [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * @param parameters The parameters that govern the prediction. The schema of the parameters may
+   *     be specified via Endpoint's DeployedModels' [Model's
+   *     ][google.cloud.aiplatform.v1.DeployedModel.model]
+   *     [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   *     [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final PredictResponse predict(String endpoint, List<Value> instances, Value parameters) {
+    PredictRequest request =
+        PredictRequest.newBuilder()
+            .setEndpoint(endpoint)
+            .addAllInstances(instances)
+            .setParameters(parameters)
+            .build();
+    return predict(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Perform an online prediction.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final PredictResponse predict(PredictRequest request) {
+    return predictCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Perform an online prediction.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
+    return stub.predictCallable();
+  }
+
+  @Override
+  public final void close() {
+    stub.close();
+  }
+
+  @Override
+  public void shutdown() {
+    stub.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return stub.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return stub.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    stub.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return stub.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceSettings.java
new file mode 100644
index 000000000..c2947a287
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceSettings.java
@@ -0,0 +1,182 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.stub.PredictionServiceStubSettings;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link PredictionServiceClient}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of predict to 30 seconds:
+ *
+ * <pre>{@code
+ * PredictionServiceSettings.Builder predictionServiceSettingsBuilder =
+ *     PredictionServiceSettings.newBuilder();
+ * predictionServiceSettingsBuilder
+ *     .predictSettings()
+ *     .setRetrySettings(
+ *         predictionServiceSettingsBuilder
+ *             .predictSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * PredictionServiceSettings predictionServiceSettings = predictionServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class PredictionServiceSettings extends ClientSettings<PredictionServiceSettings> {
+
+  /** Returns the object with the settings used for calls to predict. */
+  public UnaryCallSettings<PredictRequest, PredictResponse> predictSettings() {
+    return ((PredictionServiceStubSettings) getStubSettings()).predictSettings();
+  }
+
+  public static final PredictionServiceSettings create(PredictionServiceStubSettings stub)
+      throws IOException {
+    return new PredictionServiceSettings.Builder(stub.toBuilder()).build();
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return PredictionServiceStubSettings.defaultExecutorProviderBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return PredictionServiceStubSettings.getDefaultEndpoint();
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return PredictionServiceStubSettings.getDefaultServiceScopes();
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return PredictionServiceStubSettings.defaultCredentialsProviderBuilder();
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return PredictionServiceStubSettings.defaultGrpcTransportProviderBuilder();
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return PredictionServiceStubSettings.defaultTransportChannelProvider();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return PredictionServiceStubSettings.defaultApiClientHeaderProviderBuilder();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected PredictionServiceSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+  }
+
+  /** Builder for PredictionServiceSettings. */
+  public static class Builder extends ClientSettings.Builder<PredictionServiceSettings, Builder> {
+
+    protected Builder() throws IOException {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(PredictionServiceStubSettings.newBuilder(clientContext));
+    }
+
+    protected Builder(PredictionServiceSettings settings) {
+      super(settings.getStubSettings().toBuilder());
+    }
+
+    protected Builder(PredictionServiceStubSettings.Builder stubSettings) {
+      super(stubSettings);
+    }
+
+    private static Builder createDefault() {
+      return new Builder(PredictionServiceStubSettings.newBuilder());
+    }
+
+    public PredictionServiceStubSettings.Builder getStubSettingsBuilder() {
+      return ((PredictionServiceStubSettings.Builder) getStubSettings());
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(
+          getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater);
+      return this;
+    }
+
+    /** Returns the builder for the settings used for calls to predict. */
+    public UnaryCallSettings.Builder<PredictRequest, PredictResponse> predictSettings() {
+      return getStubSettingsBuilder().predictSettings();
+    }
+
+    @Override
+    public PredictionServiceSettings build() throws IOException {
+      return new PredictionServiceSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceClient.java
new file mode 100644
index 000000000..d0a5235b4
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceClient.java
@@ -0,0 +1,591 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.ApiFutures;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.api.gax.paging.AbstractFixedSizeCollection;
+import com.google.api.gax.paging.AbstractPage;
+import com.google.api.gax.paging.AbstractPagedListResponse;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.stub.SpecialistPoolServiceStub;
+import com.google.cloud.aiplatform.v1.stub.SpecialistPoolServiceStubSettings;
+import com.google.common.util.concurrent.MoreExecutors;
+import com.google.longrunning.Operation;
+import com.google.longrunning.OperationsClient;
+import com.google.protobuf.Empty;
+import com.google.protobuf.FieldMask;
+import java.io.IOException;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Service Description: A service for creating and managing Customer SpecialistPools. When customers
+ * start Data Labeling jobs, they can reuse/create Specialist Pools to bring their own Specialists
+ * to label the data. Customers can add/remove Managers for the Specialist Pool on Cloud console,
+ * then Managers will get email notifications to manage Specialists and tasks on CrowdCompute
+ * console.
+ *
+ * <p>This class provides the ability to make remote calls to the backing service through method
+ * calls that map to API methods. Sample code to get started:
+ *
+ * <p>Note: close() needs to be called on the SpecialistPoolServiceClient object to clean up
+ * resources such as threads. In the example above, try-with-resources is used, which automatically
+ * calls close().
+ *
+ * <p>The surface of this class includes several types of Java methods for each of the API's
+ * methods:
+ *
+ * <ol>
+ *   <li>A "flattened" method. With this type of method, the fields of the request type have been
+ *       converted into function parameters. It may be the case that not all fields are available as
+ *       parameters, and not every API method will have a flattened method entry point.
+ *   <li>A "request object" method. This type of method only takes one parameter, a request object,
+ *       which must be constructed before the call. Not every API method will have a request object
+ *       method.
+ *   <li>A "callable" method. This type of method takes no parameters and returns an immutable API
+ *       callable object, which can be used to initiate calls to the service.
+ * </ol>
+ *
+ * <p>See the individual methods for example code.
+ *
+ * <p>Many parameters require resource names to be formatted in a particular way. To assist with
+ * these names, this class includes a format method for each type of name, and additionally a parse
+ * method to extract the individual identifiers contained within names that are returned.
+ *
+ * <p>This class can be customized by passing in a custom instance of SpecialistPoolServiceSettings
+ * to create(). For example:
+ *
+ * <p>To customize credentials:
+ *
+ * <pre>{@code
+ * SpecialistPoolServiceSettings specialistPoolServiceSettings =
+ *     SpecialistPoolServiceSettings.newBuilder()
+ *         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
+ *         .build();
+ * SpecialistPoolServiceClient specialistPoolServiceClient =
+ *     SpecialistPoolServiceClient.create(specialistPoolServiceSettings);
+ * }</pre>
+ *
+ * <p>To customize the endpoint:
+ *
+ * <pre>{@code
+ * SpecialistPoolServiceSettings specialistPoolServiceSettings =
+ *     SpecialistPoolServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+ * SpecialistPoolServiceClient specialistPoolServiceClient =
+ *     SpecialistPoolServiceClient.create(specialistPoolServiceSettings);
+ * }</pre>
+ *
+ * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
+ */
+@Generated("by gapic-generator-java")
+public class SpecialistPoolServiceClient implements BackgroundResource {
+  private final SpecialistPoolServiceSettings settings;
+  private final SpecialistPoolServiceStub stub;
+  private final OperationsClient operationsClient;
+
+  /** Constructs an instance of SpecialistPoolServiceClient with default settings. */
+  public static final SpecialistPoolServiceClient create() throws IOException {
+    return create(SpecialistPoolServiceSettings.newBuilder().build());
+  }
+
+  /**
+   * Constructs an instance of SpecialistPoolServiceClient, using the given settings. The channels
+   * are created based on the settings passed in, or defaults for any settings that are not set.
+   */
+  public static final SpecialistPoolServiceClient create(SpecialistPoolServiceSettings settings)
+      throws IOException {
+    return new SpecialistPoolServiceClient(settings);
+  }
+
+  /**
+   * Constructs an instance of SpecialistPoolServiceClient, using the given stub for making calls.
+   * This is for advanced usage - prefer using create(SpecialistPoolServiceSettings).
+   */
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public static final SpecialistPoolServiceClient create(SpecialistPoolServiceStub stub) {
+    return new SpecialistPoolServiceClient(stub);
+  }
+
+  /**
+   * Constructs an instance of SpecialistPoolServiceClient, using the given settings. This is
+   * protected so that it is easy to make a subclass, but otherwise, the static factory methods
+   * should be preferred.
+   */
+  protected SpecialistPoolServiceClient(SpecialistPoolServiceSettings settings) throws IOException {
+    this.settings = settings;
+    this.stub = ((SpecialistPoolServiceStubSettings) settings.getStubSettings()).createStub();
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  protected SpecialistPoolServiceClient(SpecialistPoolServiceStub stub) {
+    this.settings = null;
+    this.stub = stub;
+    this.operationsClient = OperationsClient.create(this.stub.getOperationsStub());
+  }
+
+  public final SpecialistPoolServiceSettings getSettings() {
+    return settings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public SpecialistPoolServiceStub getStub() {
+    return stub;
+  }
+
+  /**
+   * Returns the OperationsClient that can be used to query the status of a long-running operation
+   * returned by another API method call.
+   */
+  public final OperationsClient getOperationsClient() {
+    return operationsClient;
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a SpecialistPool.
+   *
+   * @param parent Required. The parent Project name for the new SpecialistPool. The form is
+   *     `projects/{project}/locations/{location}`.
+   * @param specialistPool Required. The SpecialistPool to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolAsync(LocationName parent, SpecialistPool specialistPool) {
+    CreateSpecialistPoolRequest request =
+        CreateSpecialistPoolRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .setSpecialistPool(specialistPool)
+            .build();
+    return createSpecialistPoolAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a SpecialistPool.
+   *
+   * @param parent Required. The parent Project name for the new SpecialistPool. The form is
+   *     `projects/{project}/locations/{location}`.
+   * @param specialistPool Required. The SpecialistPool to create.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolAsync(String parent, SpecialistPool specialistPool) {
+    CreateSpecialistPoolRequest request =
+        CreateSpecialistPoolRequest.newBuilder()
+            .setParent(parent)
+            .setSpecialistPool(specialistPool)
+            .build();
+    return createSpecialistPoolAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a SpecialistPool.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolAsync(CreateSpecialistPoolRequest request) {
+    return createSpecialistPoolOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a SpecialistPool.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<
+          CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolOperationCallable() {
+    return stub.createSpecialistPoolOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Creates a SpecialistPool.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<CreateSpecialistPoolRequest, Operation>
+      createSpecialistPoolCallable() {
+    return stub.createSpecialistPoolCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a SpecialistPool.
+   *
+   * @param name Required. The name of the SpecialistPool resource. The form is
+   *     <p>`projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final SpecialistPool getSpecialistPool(SpecialistPoolName name) {
+    GetSpecialistPoolRequest request =
+        GetSpecialistPoolRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return getSpecialistPool(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a SpecialistPool.
+   *
+   * @param name Required. The name of the SpecialistPool resource. The form is
+   *     <p>`projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final SpecialistPool getSpecialistPool(String name) {
+    GetSpecialistPoolRequest request = GetSpecialistPoolRequest.newBuilder().setName(name).build();
+    return getSpecialistPool(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a SpecialistPool.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final SpecialistPool getSpecialistPool(GetSpecialistPoolRequest request) {
+    return getSpecialistPoolCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Gets a SpecialistPool.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolCallable() {
+    return stub.getSpecialistPoolCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists SpecialistPools in a Location.
+   *
+   * @param parent Required. The name of the SpecialistPool's parent resource. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListSpecialistPoolsPagedResponse listSpecialistPools(LocationName parent) {
+    ListSpecialistPoolsRequest request =
+        ListSpecialistPoolsRequest.newBuilder()
+            .setParent(parent == null ? null : parent.toString())
+            .build();
+    return listSpecialistPools(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists SpecialistPools in a Location.
+   *
+   * @param parent Required. The name of the SpecialistPool's parent resource. Format:
+   *     `projects/{project}/locations/{location}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListSpecialistPoolsPagedResponse listSpecialistPools(String parent) {
+    ListSpecialistPoolsRequest request =
+        ListSpecialistPoolsRequest.newBuilder().setParent(parent).build();
+    return listSpecialistPools(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists SpecialistPools in a Location.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final ListSpecialistPoolsPagedResponse listSpecialistPools(
+      ListSpecialistPoolsRequest request) {
+    return listSpecialistPoolsPagedCallable().call(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists SpecialistPools in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsPagedResponse>
+      listSpecialistPoolsPagedCallable() {
+    return stub.listSpecialistPoolsPagedCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Lists SpecialistPools in a Location.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>
+      listSpecialistPoolsCallable() {
+    return stub.listSpecialistPoolsCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a SpecialistPool as well as all Specialists in the pool.
+   *
+   * @param name Required. The resource name of the SpecialistPool to delete. Format:
+   *     `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoolAsync(
+      SpecialistPoolName name) {
+    DeleteSpecialistPoolRequest request =
+        DeleteSpecialistPoolRequest.newBuilder()
+            .setName(name == null ? null : name.toString())
+            .build();
+    return deleteSpecialistPoolAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a SpecialistPool as well as all Specialists in the pool.
+   *
+   * @param name Required. The resource name of the SpecialistPool to delete. Format:
+   *     `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoolAsync(
+      String name) {
+    DeleteSpecialistPoolRequest request =
+        DeleteSpecialistPoolRequest.newBuilder().setName(name).build();
+    return deleteSpecialistPoolAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a SpecialistPool as well as all Specialists in the pool.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoolAsync(
+      DeleteSpecialistPoolRequest request) {
+    return deleteSpecialistPoolOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a SpecialistPool as well as all Specialists in the pool.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+      deleteSpecialistPoolOperationCallable() {
+    return stub.deleteSpecialistPoolOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Deletes a SpecialistPool as well as all Specialists in the pool.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<DeleteSpecialistPoolRequest, Operation>
+      deleteSpecialistPoolCallable() {
+    return stub.deleteSpecialistPoolCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a SpecialistPool.
+   *
+   * @param specialistPool Required. The SpecialistPool which replaces the resource on the server.
+   * @param updateMask Required. The update mask applies to the resource.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolAsync(SpecialistPool specialistPool, FieldMask updateMask) {
+    UpdateSpecialistPoolRequest request =
+        UpdateSpecialistPoolRequest.newBuilder()
+            .setSpecialistPool(specialistPool)
+            .setUpdateMask(updateMask)
+            .build();
+    return updateSpecialistPoolAsync(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a SpecialistPool.
+   *
+   * @param request The request object containing all of the parameters for the API call.
+   * @throws com.google.api.gax.rpc.ApiException if the remote call fails
+   */
+  public final OperationFuture<SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolAsync(UpdateSpecialistPoolRequest request) {
+    return updateSpecialistPoolOperationCallable().futureCall(request);
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a SpecialistPool.
+   *
+   * <p>Sample code:
+   */
+  public final OperationCallable<
+          UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolOperationCallable() {
+    return stub.updateSpecialistPoolOperationCallable();
+  }
+
+  // AUTO-GENERATED DOCUMENTATION AND METHOD.
+  /**
+   * Updates a SpecialistPool.
+   *
+   * <p>Sample code:
+   */
+  public final UnaryCallable<UpdateSpecialistPoolRequest, Operation>
+      updateSpecialistPoolCallable() {
+    return stub.updateSpecialistPoolCallable();
+  }
+
+  @Override
+  public final void close() {
+    stub.close();
+  }
+
+  @Override
+  public void shutdown() {
+    stub.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return stub.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return stub.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    stub.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return stub.awaitTermination(duration, unit);
+  }
+
+  public static class ListSpecialistPoolsPagedResponse
+      extends AbstractPagedListResponse<
+          ListSpecialistPoolsRequest,
+          ListSpecialistPoolsResponse,
+          SpecialistPool,
+          ListSpecialistPoolsPage,
+          ListSpecialistPoolsFixedSizeCollection> {
+
+    public static ApiFuture<ListSpecialistPoolsPagedResponse> createAsync(
+        PageContext<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, SpecialistPool>
+            context,
+        ApiFuture<ListSpecialistPoolsResponse> futureResponse) {
+      ApiFuture<ListSpecialistPoolsPage> futurePage =
+          ListSpecialistPoolsPage.createEmptyPage().createPageAsync(context, futureResponse);
+      return ApiFutures.transform(
+          futurePage,
+          new ApiFunction<ListSpecialistPoolsPage, ListSpecialistPoolsPagedResponse>() {
+            @Override
+            public ListSpecialistPoolsPagedResponse apply(ListSpecialistPoolsPage input) {
+              return new ListSpecialistPoolsPagedResponse(input);
+            }
+          },
+          MoreExecutors.directExecutor());
+    }
+
+    private ListSpecialistPoolsPagedResponse(ListSpecialistPoolsPage page) {
+      super(page, ListSpecialistPoolsFixedSizeCollection.createEmptyCollection());
+    }
+  }
+
+  public static class ListSpecialistPoolsPage
+      extends AbstractPage<
+          ListSpecialistPoolsRequest,
+          ListSpecialistPoolsResponse,
+          SpecialistPool,
+          ListSpecialistPoolsPage> {
+
+    private ListSpecialistPoolsPage(
+        PageContext<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, SpecialistPool>
+            context,
+        ListSpecialistPoolsResponse response) {
+      super(context, response);
+    }
+
+    private static ListSpecialistPoolsPage createEmptyPage() {
+      return new ListSpecialistPoolsPage(null, null);
+    }
+
+    @Override
+    protected ListSpecialistPoolsPage createPage(
+        PageContext<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, SpecialistPool>
+            context,
+        ListSpecialistPoolsResponse response) {
+      return new ListSpecialistPoolsPage(context, response);
+    }
+
+    @Override
+    public ApiFuture<ListSpecialistPoolsPage> createPageAsync(
+        PageContext<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, SpecialistPool>
+            context,
+        ApiFuture<ListSpecialistPoolsResponse> futureResponse) {
+      return super.createPageAsync(context, futureResponse);
+    }
+  }
+
+  public static class ListSpecialistPoolsFixedSizeCollection
+      extends AbstractFixedSizeCollection<
+          ListSpecialistPoolsRequest,
+          ListSpecialistPoolsResponse,
+          SpecialistPool,
+          ListSpecialistPoolsPage,
+          ListSpecialistPoolsFixedSizeCollection> {
+
+    private ListSpecialistPoolsFixedSizeCollection(
+        List<ListSpecialistPoolsPage> pages, int collectionSize) {
+      super(pages, collectionSize);
+    }
+
+    private static ListSpecialistPoolsFixedSizeCollection createEmptyCollection() {
+      return new ListSpecialistPoolsFixedSizeCollection(null, 0);
+    }
+
+    @Override
+    protected ListSpecialistPoolsFixedSizeCollection createCollection(
+        List<ListSpecialistPoolsPage> pages, int collectionSize) {
+      return new ListSpecialistPoolsFixedSizeCollection(pages, collectionSize);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceSettings.java
new file mode 100644
index 000000000..e21e2506d
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceSettings.java
@@ -0,0 +1,284 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientSettings;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.stub.SpecialistPoolServiceStubSettings;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link SpecialistPoolServiceClient}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of getSpecialistPool to 30 seconds:
+ *
+ * <pre>{@code
+ * SpecialistPoolServiceSettings.Builder specialistPoolServiceSettingsBuilder =
+ *     SpecialistPoolServiceSettings.newBuilder();
+ * specialistPoolServiceSettingsBuilder
+ *     .getSpecialistPoolSettings()
+ *     .setRetrySettings(
+ *         specialistPoolServiceSettingsBuilder
+ *             .getSpecialistPoolSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * SpecialistPoolServiceSettings specialistPoolServiceSettings =
+ *     specialistPoolServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class SpecialistPoolServiceSettings extends ClientSettings<SpecialistPoolServiceSettings> {
+
+  /** Returns the object with the settings used for calls to createSpecialistPool. */
+  public UnaryCallSettings<CreateSpecialistPoolRequest, Operation> createSpecialistPoolSettings() {
+    return ((SpecialistPoolServiceStubSettings) getStubSettings()).createSpecialistPoolSettings();
+  }
+
+  /** Returns the object with the settings used for calls to createSpecialistPool. */
+  public OperationCallSettings<
+          CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolOperationSettings() {
+    return ((SpecialistPoolServiceStubSettings) getStubSettings())
+        .createSpecialistPoolOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to getSpecialistPool. */
+  public UnaryCallSettings<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolSettings() {
+    return ((SpecialistPoolServiceStubSettings) getStubSettings()).getSpecialistPoolSettings();
+  }
+
+  /** Returns the object with the settings used for calls to listSpecialistPools. */
+  public PagedCallSettings<
+          ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, ListSpecialistPoolsPagedResponse>
+      listSpecialistPoolsSettings() {
+    return ((SpecialistPoolServiceStubSettings) getStubSettings()).listSpecialistPoolsSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteSpecialistPool. */
+  public UnaryCallSettings<DeleteSpecialistPoolRequest, Operation> deleteSpecialistPoolSettings() {
+    return ((SpecialistPoolServiceStubSettings) getStubSettings()).deleteSpecialistPoolSettings();
+  }
+
+  /** Returns the object with the settings used for calls to deleteSpecialistPool. */
+  public OperationCallSettings<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+      deleteSpecialistPoolOperationSettings() {
+    return ((SpecialistPoolServiceStubSettings) getStubSettings())
+        .deleteSpecialistPoolOperationSettings();
+  }
+
+  /** Returns the object with the settings used for calls to updateSpecialistPool. */
+  public UnaryCallSettings<UpdateSpecialistPoolRequest, Operation> updateSpecialistPoolSettings() {
+    return ((SpecialistPoolServiceStubSettings) getStubSettings()).updateSpecialistPoolSettings();
+  }
+
+  /** Returns the object with the settings used for calls to updateSpecialistPool. */
+  public OperationCallSettings<
+          UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolOperationSettings() {
+    return ((SpecialistPoolServiceStubSettings) getStubSettings())
+        .updateSpecialistPoolOperationSettings();
+  }
+
+  public static final SpecialistPoolServiceSettings create(SpecialistPoolServiceStubSettings stub)
+      throws IOException {
+    return new SpecialistPoolServiceSettings.Builder(stub.toBuilder()).build();
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return SpecialistPoolServiceStubSettings.defaultExecutorProviderBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return SpecialistPoolServiceStubSettings.getDefaultEndpoint();
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return SpecialistPoolServiceStubSettings.getDefaultServiceScopes();
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return SpecialistPoolServiceStubSettings.defaultCredentialsProviderBuilder();
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return SpecialistPoolServiceStubSettings.defaultGrpcTransportProviderBuilder();
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return SpecialistPoolServiceStubSettings.defaultTransportChannelProvider();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return SpecialistPoolServiceStubSettings.defaultApiClientHeaderProviderBuilder();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected SpecialistPoolServiceSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+  }
+
+  /** Builder for SpecialistPoolServiceSettings. */
+  public static class Builder
+      extends ClientSettings.Builder<SpecialistPoolServiceSettings, Builder> {
+
+    protected Builder() throws IOException {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(SpecialistPoolServiceStubSettings.newBuilder(clientContext));
+    }
+
+    protected Builder(SpecialistPoolServiceSettings settings) {
+      super(settings.getStubSettings().toBuilder());
+    }
+
+    protected Builder(SpecialistPoolServiceStubSettings.Builder stubSettings) {
+      super(stubSettings);
+    }
+
+    private static Builder createDefault() {
+      return new Builder(SpecialistPoolServiceStubSettings.newBuilder());
+    }
+
+    public SpecialistPoolServiceStubSettings.Builder getStubSettingsBuilder() {
+      return ((SpecialistPoolServiceStubSettings.Builder) getStubSettings());
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(
+          getStubSettingsBuilder().unaryMethodSettingsBuilders(), settingsUpdater);
+      return this;
+    }
+
+    /** Returns the builder for the settings used for calls to createSpecialistPool. */
+    public UnaryCallSettings.Builder<CreateSpecialistPoolRequest, Operation>
+        createSpecialistPoolSettings() {
+      return getStubSettingsBuilder().createSpecialistPoolSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to createSpecialistPool. */
+    public OperationCallSettings.Builder<
+            CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+        createSpecialistPoolOperationSettings() {
+      return getStubSettingsBuilder().createSpecialistPoolOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to getSpecialistPool. */
+    public UnaryCallSettings.Builder<GetSpecialistPoolRequest, SpecialistPool>
+        getSpecialistPoolSettings() {
+      return getStubSettingsBuilder().getSpecialistPoolSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to listSpecialistPools. */
+    public PagedCallSettings.Builder<
+            ListSpecialistPoolsRequest,
+            ListSpecialistPoolsResponse,
+            ListSpecialistPoolsPagedResponse>
+        listSpecialistPoolsSettings() {
+      return getStubSettingsBuilder().listSpecialistPoolsSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteSpecialistPool. */
+    public UnaryCallSettings.Builder<DeleteSpecialistPoolRequest, Operation>
+        deleteSpecialistPoolSettings() {
+      return getStubSettingsBuilder().deleteSpecialistPoolSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to deleteSpecialistPool. */
+    public OperationCallSettings.Builder<
+            DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+        deleteSpecialistPoolOperationSettings() {
+      return getStubSettingsBuilder().deleteSpecialistPoolOperationSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to updateSpecialistPool. */
+    public UnaryCallSettings.Builder<UpdateSpecialistPoolRequest, Operation>
+        updateSpecialistPoolSettings() {
+      return getStubSettingsBuilder().updateSpecialistPoolSettings();
+    }
+
+    /** Returns the builder for the settings used for calls to updateSpecialistPool. */
+    public OperationCallSettings.Builder<
+            UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+        updateSpecialistPoolOperationSettings() {
+      return getStubSettingsBuilder().updateSpecialistPoolOperationSettings();
+    }
+
+    @Override
+    public SpecialistPoolServiceSettings build() throws IOException {
+      return new SpecialistPoolServiceSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/package-info.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/package-info.java
new file mode 100644
index 000000000..1065b05de
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/package-info.java
@@ -0,0 +1,72 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/**
+ * The interfaces provided are listed below, along with usage samples.
+ *
+ * <p>======================= DatasetServiceClient =======================
+ *
+ * <p>Sample for DatasetServiceClient:
+ *
+ * <p>======================= EndpointServiceClient =======================
+ *
+ * <p>Sample for EndpointServiceClient:
+ *
+ * <p>======================= JobServiceClient =======================
+ *
+ * <p>Service Description: A service for creating and managing AI Platform's jobs.
+ *
+ * <p>Sample for JobServiceClient:
+ *
+ * <p>======================= MigrationServiceClient =======================
+ *
+ * <p>Service Description: A service that migrates resources from automl.googleapis.com,
+ * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+ *
+ * <p>Sample for MigrationServiceClient:
+ *
+ * <p>======================= ModelServiceClient =======================
+ *
+ * <p>Service Description: A service for managing AI Platform's machine learning Models.
+ *
+ * <p>Sample for ModelServiceClient:
+ *
+ * <p>======================= PipelineServiceClient =======================
+ *
+ * <p>Service Description: A service for creating and managing AI Platform's pipelines.
+ *
+ * <p>Sample for PipelineServiceClient:
+ *
+ * <p>======================= PredictionServiceClient =======================
+ *
+ * <p>Service Description: A service for online predictions and explanations.
+ *
+ * <p>Sample for PredictionServiceClient:
+ *
+ * <p>======================= SpecialistPoolServiceClient =======================
+ *
+ * <p>Service Description: A service for creating and managing Customer SpecialistPools. When
+ * customers start Data Labeling jobs, they can reuse/create Specialist Pools to bring their own
+ * Specialists to label the data. Customers can add/remove Managers for the Specialist Pool on Cloud
+ * console, then Managers will get email notifications to manage Specialists and tasks on
+ * CrowdCompute console.
+ *
+ * <p>Sample for SpecialistPoolServiceClient:
+ */
+@Generated("by gapic-generator-java")
+package com.google.cloud.aiplatform.v1;
+
+import javax.annotation.Generated;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStub.java
new file mode 100644
index 000000000..bc5ff2d39
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStub.java
@@ -0,0 +1,141 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDataItemsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.AnnotationSpec;
+import com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateDatasetRequest;
+import com.google.cloud.aiplatform.v1.Dataset;
+import com.google.cloud.aiplatform.v1.DeleteDatasetRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportDataOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportDataRequest;
+import com.google.cloud.aiplatform.v1.ExportDataResponse;
+import com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest;
+import com.google.cloud.aiplatform.v1.GetDatasetRequest;
+import com.google.cloud.aiplatform.v1.ImportDataOperationMetadata;
+import com.google.cloud.aiplatform.v1.ImportDataRequest;
+import com.google.cloud.aiplatform.v1.ImportDataResponse;
+import com.google.cloud.aiplatform.v1.ListAnnotationsRequest;
+import com.google.cloud.aiplatform.v1.ListAnnotationsResponse;
+import com.google.cloud.aiplatform.v1.ListDataItemsRequest;
+import com.google.cloud.aiplatform.v1.ListDataItemsResponse;
+import com.google.cloud.aiplatform.v1.ListDatasetsRequest;
+import com.google.cloud.aiplatform.v1.ListDatasetsResponse;
+import com.google.cloud.aiplatform.v1.UpdateDatasetRequest;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import com.google.protobuf.Empty;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Base stub class for the DatasetService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public abstract class DatasetServiceStub implements BackgroundResource {
+
+  public OperationsStub getOperationsStub() {
+    throw new UnsupportedOperationException("Not implemented: getOperationsStub()");
+  }
+
+  public OperationCallable<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+      createDatasetOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: createDatasetOperationCallable()");
+  }
+
+  public UnaryCallable<CreateDatasetRequest, Operation> createDatasetCallable() {
+    throw new UnsupportedOperationException("Not implemented: createDatasetCallable()");
+  }
+
+  public UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
+    throw new UnsupportedOperationException("Not implemented: getDatasetCallable()");
+  }
+
+  public UnaryCallable<UpdateDatasetRequest, Dataset> updateDatasetCallable() {
+    throw new UnsupportedOperationException("Not implemented: updateDatasetCallable()");
+  }
+
+  public UnaryCallable<ListDatasetsRequest, ListDatasetsPagedResponse> listDatasetsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listDatasetsPagedCallable()");
+  }
+
+  public UnaryCallable<ListDatasetsRequest, ListDatasetsResponse> listDatasetsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listDatasetsCallable()");
+  }
+
+  public OperationCallable<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+      deleteDatasetOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteDatasetOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteDatasetRequest, Operation> deleteDatasetCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteDatasetCallable()");
+  }
+
+  public OperationCallable<ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+      importDataOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: importDataOperationCallable()");
+  }
+
+  public UnaryCallable<ImportDataRequest, Operation> importDataCallable() {
+    throw new UnsupportedOperationException("Not implemented: importDataCallable()");
+  }
+
+  public OperationCallable<ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+      exportDataOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: exportDataOperationCallable()");
+  }
+
+  public UnaryCallable<ExportDataRequest, Operation> exportDataCallable() {
+    throw new UnsupportedOperationException("Not implemented: exportDataCallable()");
+  }
+
+  public UnaryCallable<ListDataItemsRequest, ListDataItemsPagedResponse>
+      listDataItemsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listDataItemsPagedCallable()");
+  }
+
+  public UnaryCallable<ListDataItemsRequest, ListDataItemsResponse> listDataItemsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listDataItemsCallable()");
+  }
+
+  public UnaryCallable<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecCallable() {
+    throw new UnsupportedOperationException("Not implemented: getAnnotationSpecCallable()");
+  }
+
+  public UnaryCallable<ListAnnotationsRequest, ListAnnotationsPagedResponse>
+      listAnnotationsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listAnnotationsPagedCallable()");
+  }
+
+  public UnaryCallable<ListAnnotationsRequest, ListAnnotationsResponse> listAnnotationsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listAnnotationsCallable()");
+  }
+
+  @Override
+  public abstract void close();
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStubSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStubSettings.java
new file mode 100644
index 000000000..5faa30878
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/DatasetServiceStubSettings.java
@@ -0,0 +1,870 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDataItemsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GaxProperties;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.GrpcTransportChannel;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.grpc.ProtoOperationTransformers;
+import com.google.api.gax.longrunning.OperationSnapshot;
+import com.google.api.gax.longrunning.OperationTimedPollAlgorithm;
+import com.google.api.gax.retrying.RetrySettings;
+import com.google.api.gax.rpc.ApiCallContext;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.PagedListDescriptor;
+import com.google.api.gax.rpc.PagedListResponseFactory;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.api.gax.rpc.StubSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.Annotation;
+import com.google.cloud.aiplatform.v1.AnnotationSpec;
+import com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateDatasetRequest;
+import com.google.cloud.aiplatform.v1.DataItem;
+import com.google.cloud.aiplatform.v1.Dataset;
+import com.google.cloud.aiplatform.v1.DeleteDatasetRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportDataOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportDataRequest;
+import com.google.cloud.aiplatform.v1.ExportDataResponse;
+import com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest;
+import com.google.cloud.aiplatform.v1.GetDatasetRequest;
+import com.google.cloud.aiplatform.v1.ImportDataOperationMetadata;
+import com.google.cloud.aiplatform.v1.ImportDataRequest;
+import com.google.cloud.aiplatform.v1.ImportDataResponse;
+import com.google.cloud.aiplatform.v1.ListAnnotationsRequest;
+import com.google.cloud.aiplatform.v1.ListAnnotationsResponse;
+import com.google.cloud.aiplatform.v1.ListDataItemsRequest;
+import com.google.cloud.aiplatform.v1.ListDataItemsResponse;
+import com.google.cloud.aiplatform.v1.ListDatasetsRequest;
+import com.google.cloud.aiplatform.v1.ListDatasetsResponse;
+import com.google.cloud.aiplatform.v1.UpdateDatasetRequest;
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+import org.threeten.bp.Duration;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link DatasetServiceStub}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of getDataset to 30 seconds:
+ *
+ * <pre>{@code
+ * DatasetServiceStubSettings.Builder datasetServiceSettingsBuilder =
+ *     DatasetServiceStubSettings.newBuilder();
+ * datasetServiceSettingsBuilder
+ *     .getDatasetSettings()
+ *     .setRetrySettings(
+ *         datasetServiceSettingsBuilder
+ *             .getDatasetSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * DatasetServiceStubSettings datasetServiceSettings = datasetServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class DatasetServiceStubSettings extends StubSettings<DatasetServiceStubSettings> {
+  /** The default scopes of the service. */
+  private static final ImmutableList<String> DEFAULT_SERVICE_SCOPES =
+      ImmutableList.<String>builder().add("https://www.googleapis.com/auth/cloud-platform").build();
+
+  private final UnaryCallSettings<CreateDatasetRequest, Operation> createDatasetSettings;
+  private final OperationCallSettings<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+      createDatasetOperationSettings;
+  private final UnaryCallSettings<GetDatasetRequest, Dataset> getDatasetSettings;
+  private final UnaryCallSettings<UpdateDatasetRequest, Dataset> updateDatasetSettings;
+  private final PagedCallSettings<
+          ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>
+      listDatasetsSettings;
+  private final UnaryCallSettings<DeleteDatasetRequest, Operation> deleteDatasetSettings;
+  private final OperationCallSettings<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+      deleteDatasetOperationSettings;
+  private final UnaryCallSettings<ImportDataRequest, Operation> importDataSettings;
+  private final OperationCallSettings<
+          ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+      importDataOperationSettings;
+  private final UnaryCallSettings<ExportDataRequest, Operation> exportDataSettings;
+  private final OperationCallSettings<
+          ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+      exportDataOperationSettings;
+  private final PagedCallSettings<
+          ListDataItemsRequest, ListDataItemsResponse, ListDataItemsPagedResponse>
+      listDataItemsSettings;
+  private final UnaryCallSettings<GetAnnotationSpecRequest, AnnotationSpec>
+      getAnnotationSpecSettings;
+  private final PagedCallSettings<
+          ListAnnotationsRequest, ListAnnotationsResponse, ListAnnotationsPagedResponse>
+      listAnnotationsSettings;
+
+  private static final PagedListDescriptor<ListDatasetsRequest, ListDatasetsResponse, Dataset>
+      LIST_DATASETS_PAGE_STR_DESC =
+          new PagedListDescriptor<ListDatasetsRequest, ListDatasetsResponse, Dataset>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListDatasetsRequest injectToken(ListDatasetsRequest payload, String token) {
+              return ListDatasetsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListDatasetsRequest injectPageSize(ListDatasetsRequest payload, int pageSize) {
+              return ListDatasetsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListDatasetsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListDatasetsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<Dataset> extractResources(ListDatasetsResponse payload) {
+              return payload.getDatasetsList() == null
+                  ? ImmutableList.<Dataset>of()
+                  : payload.getDatasetsList();
+            }
+          };
+
+  private static final PagedListDescriptor<ListDataItemsRequest, ListDataItemsResponse, DataItem>
+      LIST_DATA_ITEMS_PAGE_STR_DESC =
+          new PagedListDescriptor<ListDataItemsRequest, ListDataItemsResponse, DataItem>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListDataItemsRequest injectToken(ListDataItemsRequest payload, String token) {
+              return ListDataItemsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListDataItemsRequest injectPageSize(ListDataItemsRequest payload, int pageSize) {
+              return ListDataItemsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListDataItemsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListDataItemsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<DataItem> extractResources(ListDataItemsResponse payload) {
+              return payload.getDataItemsList() == null
+                  ? ImmutableList.<DataItem>of()
+                  : payload.getDataItemsList();
+            }
+          };
+
+  private static final PagedListDescriptor<
+          ListAnnotationsRequest, ListAnnotationsResponse, Annotation>
+      LIST_ANNOTATIONS_PAGE_STR_DESC =
+          new PagedListDescriptor<ListAnnotationsRequest, ListAnnotationsResponse, Annotation>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListAnnotationsRequest injectToken(
+                ListAnnotationsRequest payload, String token) {
+              return ListAnnotationsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListAnnotationsRequest injectPageSize(
+                ListAnnotationsRequest payload, int pageSize) {
+              return ListAnnotationsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListAnnotationsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListAnnotationsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<Annotation> extractResources(ListAnnotationsResponse payload) {
+              return payload.getAnnotationsList() == null
+                  ? ImmutableList.<Annotation>of()
+                  : payload.getAnnotationsList();
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>
+      LIST_DATASETS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>() {
+            @Override
+            public ApiFuture<ListDatasetsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListDatasetsRequest, ListDatasetsResponse> callable,
+                ListDatasetsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListDatasetsResponse> futureResponse) {
+              PageContext<ListDatasetsRequest, ListDatasetsResponse, Dataset> pageContext =
+                  PageContext.create(callable, LIST_DATASETS_PAGE_STR_DESC, request, context);
+              return ListDatasetsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListDataItemsRequest, ListDataItemsResponse, ListDataItemsPagedResponse>
+      LIST_DATA_ITEMS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListDataItemsRequest, ListDataItemsResponse, ListDataItemsPagedResponse>() {
+            @Override
+            public ApiFuture<ListDataItemsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListDataItemsRequest, ListDataItemsResponse> callable,
+                ListDataItemsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListDataItemsResponse> futureResponse) {
+              PageContext<ListDataItemsRequest, ListDataItemsResponse, DataItem> pageContext =
+                  PageContext.create(callable, LIST_DATA_ITEMS_PAGE_STR_DESC, request, context);
+              return ListDataItemsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListAnnotationsRequest, ListAnnotationsResponse, ListAnnotationsPagedResponse>
+      LIST_ANNOTATIONS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListAnnotationsRequest, ListAnnotationsResponse, ListAnnotationsPagedResponse>() {
+            @Override
+            public ApiFuture<ListAnnotationsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListAnnotationsRequest, ListAnnotationsResponse> callable,
+                ListAnnotationsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListAnnotationsResponse> futureResponse) {
+              PageContext<ListAnnotationsRequest, ListAnnotationsResponse, Annotation> pageContext =
+                  PageContext.create(callable, LIST_ANNOTATIONS_PAGE_STR_DESC, request, context);
+              return ListAnnotationsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  /** Returns the object with the settings used for calls to createDataset. */
+  public UnaryCallSettings<CreateDatasetRequest, Operation> createDatasetSettings() {
+    return createDatasetSettings;
+  }
+
+  /** Returns the object with the settings used for calls to createDataset. */
+  public OperationCallSettings<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+      createDatasetOperationSettings() {
+    return createDatasetOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getDataset. */
+  public UnaryCallSettings<GetDatasetRequest, Dataset> getDatasetSettings() {
+    return getDatasetSettings;
+  }
+
+  /** Returns the object with the settings used for calls to updateDataset. */
+  public UnaryCallSettings<UpdateDatasetRequest, Dataset> updateDatasetSettings() {
+    return updateDatasetSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listDatasets. */
+  public PagedCallSettings<ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>
+      listDatasetsSettings() {
+    return listDatasetsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteDataset. */
+  public UnaryCallSettings<DeleteDatasetRequest, Operation> deleteDatasetSettings() {
+    return deleteDatasetSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteDataset. */
+  public OperationCallSettings<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+      deleteDatasetOperationSettings() {
+    return deleteDatasetOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to importData. */
+  public UnaryCallSettings<ImportDataRequest, Operation> importDataSettings() {
+    return importDataSettings;
+  }
+
+  /** Returns the object with the settings used for calls to importData. */
+  public OperationCallSettings<ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+      importDataOperationSettings() {
+    return importDataOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to exportData. */
+  public UnaryCallSettings<ExportDataRequest, Operation> exportDataSettings() {
+    return exportDataSettings;
+  }
+
+  /** Returns the object with the settings used for calls to exportData. */
+  public OperationCallSettings<ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+      exportDataOperationSettings() {
+    return exportDataOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listDataItems. */
+  public PagedCallSettings<ListDataItemsRequest, ListDataItemsResponse, ListDataItemsPagedResponse>
+      listDataItemsSettings() {
+    return listDataItemsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getAnnotationSpec. */
+  public UnaryCallSettings<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecSettings() {
+    return getAnnotationSpecSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listAnnotations. */
+  public PagedCallSettings<
+          ListAnnotationsRequest, ListAnnotationsResponse, ListAnnotationsPagedResponse>
+      listAnnotationsSettings() {
+    return listAnnotationsSettings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public DatasetServiceStub createStub() throws IOException {
+    if (getTransportChannelProvider()
+        .getTransportName()
+        .equals(GrpcTransportChannel.getGrpcTransportName())) {
+      return GrpcDatasetServiceStub.create(this);
+    }
+    throw new UnsupportedOperationException(
+        String.format(
+            "Transport not supported: %s", getTransportChannelProvider().getTransportName()));
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return InstantiatingExecutorProvider.newBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return "aiplatform.googleapis.com:443";
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DEFAULT_SERVICE_SCOPES;
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES);
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return InstantiatingGrpcChannelProvider.newBuilder()
+        .setMaxInboundMessageSize(Integer.MAX_VALUE);
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return defaultGrpcTransportProviderBuilder().build();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ApiClientHeaderProvider.newBuilder()
+        .setGeneratedLibToken(
+            "gapic", GaxProperties.getLibraryVersion(DatasetServiceStubSettings.class))
+        .setTransportToken(
+            GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion());
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected DatasetServiceStubSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+
+    createDatasetSettings = settingsBuilder.createDatasetSettings().build();
+    createDatasetOperationSettings = settingsBuilder.createDatasetOperationSettings().build();
+    getDatasetSettings = settingsBuilder.getDatasetSettings().build();
+    updateDatasetSettings = settingsBuilder.updateDatasetSettings().build();
+    listDatasetsSettings = settingsBuilder.listDatasetsSettings().build();
+    deleteDatasetSettings = settingsBuilder.deleteDatasetSettings().build();
+    deleteDatasetOperationSettings = settingsBuilder.deleteDatasetOperationSettings().build();
+    importDataSettings = settingsBuilder.importDataSettings().build();
+    importDataOperationSettings = settingsBuilder.importDataOperationSettings().build();
+    exportDataSettings = settingsBuilder.exportDataSettings().build();
+    exportDataOperationSettings = settingsBuilder.exportDataOperationSettings().build();
+    listDataItemsSettings = settingsBuilder.listDataItemsSettings().build();
+    getAnnotationSpecSettings = settingsBuilder.getAnnotationSpecSettings().build();
+    listAnnotationsSettings = settingsBuilder.listAnnotationsSettings().build();
+  }
+
+  /** Builder for DatasetServiceStubSettings. */
+  public static class Builder extends StubSettings.Builder<DatasetServiceStubSettings, Builder> {
+    private final ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders;
+    private final UnaryCallSettings.Builder<CreateDatasetRequest, Operation> createDatasetSettings;
+    private final OperationCallSettings.Builder<
+            CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+        createDatasetOperationSettings;
+    private final UnaryCallSettings.Builder<GetDatasetRequest, Dataset> getDatasetSettings;
+    private final UnaryCallSettings.Builder<UpdateDatasetRequest, Dataset> updateDatasetSettings;
+    private final PagedCallSettings.Builder<
+            ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>
+        listDatasetsSettings;
+    private final UnaryCallSettings.Builder<DeleteDatasetRequest, Operation> deleteDatasetSettings;
+    private final OperationCallSettings.Builder<
+            DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+        deleteDatasetOperationSettings;
+    private final UnaryCallSettings.Builder<ImportDataRequest, Operation> importDataSettings;
+    private final OperationCallSettings.Builder<
+            ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+        importDataOperationSettings;
+    private final UnaryCallSettings.Builder<ExportDataRequest, Operation> exportDataSettings;
+    private final OperationCallSettings.Builder<
+            ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+        exportDataOperationSettings;
+    private final PagedCallSettings.Builder<
+            ListDataItemsRequest, ListDataItemsResponse, ListDataItemsPagedResponse>
+        listDataItemsSettings;
+    private final UnaryCallSettings.Builder<GetAnnotationSpecRequest, AnnotationSpec>
+        getAnnotationSpecSettings;
+    private final PagedCallSettings.Builder<
+            ListAnnotationsRequest, ListAnnotationsResponse, ListAnnotationsPagedResponse>
+        listAnnotationsSettings;
+    private static final ImmutableMap<String, ImmutableSet<StatusCode.Code>>
+        RETRYABLE_CODE_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, ImmutableSet<StatusCode.Code>> definitions =
+          ImmutableMap.builder();
+      definitions.put("no_retry_codes", ImmutableSet.copyOf(Lists.<StatusCode.Code>newArrayList()));
+      RETRYABLE_CODE_DEFINITIONS = definitions.build();
+    }
+
+    private static final ImmutableMap<String, RetrySettings> RETRY_PARAM_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, RetrySettings> definitions = ImmutableMap.builder();
+      RetrySettings settings = null;
+      settings = RetrySettings.newBuilder().setRpcTimeoutMultiplier(1.0).build();
+      definitions.put("no_retry_params", settings);
+      RETRY_PARAM_DEFINITIONS = definitions.build();
+    }
+
+    protected Builder() {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(clientContext);
+
+      createDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      createDatasetOperationSettings = OperationCallSettings.newBuilder();
+      getDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      updateDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listDatasetsSettings = PagedCallSettings.newBuilder(LIST_DATASETS_PAGE_STR_FACT);
+      deleteDatasetSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteDatasetOperationSettings = OperationCallSettings.newBuilder();
+      importDataSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      importDataOperationSettings = OperationCallSettings.newBuilder();
+      exportDataSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      exportDataOperationSettings = OperationCallSettings.newBuilder();
+      listDataItemsSettings = PagedCallSettings.newBuilder(LIST_DATA_ITEMS_PAGE_STR_FACT);
+      getAnnotationSpecSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listAnnotationsSettings = PagedCallSettings.newBuilder(LIST_ANNOTATIONS_PAGE_STR_FACT);
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createDatasetSettings,
+              getDatasetSettings,
+              updateDatasetSettings,
+              listDatasetsSettings,
+              deleteDatasetSettings,
+              importDataSettings,
+              exportDataSettings,
+              listDataItemsSettings,
+              getAnnotationSpecSettings,
+              listAnnotationsSettings);
+      initDefaults(this);
+    }
+
+    protected Builder(DatasetServiceStubSettings settings) {
+      super(settings);
+
+      createDatasetSettings = settings.createDatasetSettings.toBuilder();
+      createDatasetOperationSettings = settings.createDatasetOperationSettings.toBuilder();
+      getDatasetSettings = settings.getDatasetSettings.toBuilder();
+      updateDatasetSettings = settings.updateDatasetSettings.toBuilder();
+      listDatasetsSettings = settings.listDatasetsSettings.toBuilder();
+      deleteDatasetSettings = settings.deleteDatasetSettings.toBuilder();
+      deleteDatasetOperationSettings = settings.deleteDatasetOperationSettings.toBuilder();
+      importDataSettings = settings.importDataSettings.toBuilder();
+      importDataOperationSettings = settings.importDataOperationSettings.toBuilder();
+      exportDataSettings = settings.exportDataSettings.toBuilder();
+      exportDataOperationSettings = settings.exportDataOperationSettings.toBuilder();
+      listDataItemsSettings = settings.listDataItemsSettings.toBuilder();
+      getAnnotationSpecSettings = settings.getAnnotationSpecSettings.toBuilder();
+      listAnnotationsSettings = settings.listAnnotationsSettings.toBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createDatasetSettings,
+              getDatasetSettings,
+              updateDatasetSettings,
+              listDatasetsSettings,
+              deleteDatasetSettings,
+              importDataSettings,
+              exportDataSettings,
+              listDataItemsSettings,
+              getAnnotationSpecSettings,
+              listAnnotationsSettings);
+    }
+
+    private static Builder createDefault() {
+      Builder builder = new Builder(((ClientContext) null));
+
+      builder.setTransportChannelProvider(defaultTransportChannelProvider());
+      builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build());
+      builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build());
+      builder.setEndpoint(getDefaultEndpoint());
+
+      return initDefaults(builder);
+    }
+
+    private static Builder initDefaults(Builder builder) {
+      builder
+          .createDatasetSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getDatasetSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .updateDatasetSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listDatasetsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteDatasetSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .importDataSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .exportDataSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listDataItemsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getAnnotationSpecSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listAnnotationsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .createDatasetOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<CreateDatasetRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Dataset.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  CreateDatasetOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .deleteDatasetOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<DeleteDatasetRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .importDataOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings.<ImportDataRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(ImportDataResponse.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  ImportDataOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .exportDataOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings.<ExportDataRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(ExportDataResponse.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  ExportDataOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      return builder;
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater);
+      return this;
+    }
+
+    public ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders() {
+      return unaryMethodSettingsBuilders;
+    }
+
+    /** Returns the builder for the settings used for calls to createDataset. */
+    public UnaryCallSettings.Builder<CreateDatasetRequest, Operation> createDatasetSettings() {
+      return createDatasetSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to createDataset. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+        createDatasetOperationSettings() {
+      return createDatasetOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getDataset. */
+    public UnaryCallSettings.Builder<GetDatasetRequest, Dataset> getDatasetSettings() {
+      return getDatasetSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to updateDataset. */
+    public UnaryCallSettings.Builder<UpdateDatasetRequest, Dataset> updateDatasetSettings() {
+      return updateDatasetSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listDatasets. */
+    public PagedCallSettings.Builder<
+            ListDatasetsRequest, ListDatasetsResponse, ListDatasetsPagedResponse>
+        listDatasetsSettings() {
+      return listDatasetsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteDataset. */
+    public UnaryCallSettings.Builder<DeleteDatasetRequest, Operation> deleteDatasetSettings() {
+      return deleteDatasetSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteDataset. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+        deleteDatasetOperationSettings() {
+      return deleteDatasetOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to importData. */
+    public UnaryCallSettings.Builder<ImportDataRequest, Operation> importDataSettings() {
+      return importDataSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to importData. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+        importDataOperationSettings() {
+      return importDataOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to exportData. */
+    public UnaryCallSettings.Builder<ExportDataRequest, Operation> exportDataSettings() {
+      return exportDataSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to exportData. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+        exportDataOperationSettings() {
+      return exportDataOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listDataItems. */
+    public PagedCallSettings.Builder<
+            ListDataItemsRequest, ListDataItemsResponse, ListDataItemsPagedResponse>
+        listDataItemsSettings() {
+      return listDataItemsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getAnnotationSpec. */
+    public UnaryCallSettings.Builder<GetAnnotationSpecRequest, AnnotationSpec>
+        getAnnotationSpecSettings() {
+      return getAnnotationSpecSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listAnnotations. */
+    public PagedCallSettings.Builder<
+            ListAnnotationsRequest, ListAnnotationsResponse, ListAnnotationsPagedResponse>
+        listAnnotationsSettings() {
+      return listAnnotationsSettings;
+    }
+
+    @Override
+    public DatasetServiceStubSettings build() throws IOException {
+      return new DatasetServiceStubSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStub.java
new file mode 100644
index 000000000..e64b38ddc
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStub.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.EndpointServiceClient.ListEndpointsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateEndpointRequest;
+import com.google.cloud.aiplatform.v1.DeleteEndpointRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeployModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeployModelRequest;
+import com.google.cloud.aiplatform.v1.DeployModelResponse;
+import com.google.cloud.aiplatform.v1.Endpoint;
+import com.google.cloud.aiplatform.v1.GetEndpointRequest;
+import com.google.cloud.aiplatform.v1.ListEndpointsRequest;
+import com.google.cloud.aiplatform.v1.ListEndpointsResponse;
+import com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.UndeployModelRequest;
+import com.google.cloud.aiplatform.v1.UndeployModelResponse;
+import com.google.cloud.aiplatform.v1.UpdateEndpointRequest;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import com.google.protobuf.Empty;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Base stub class for the EndpointService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public abstract class EndpointServiceStub implements BackgroundResource {
+
+  public OperationsStub getOperationsStub() {
+    throw new UnsupportedOperationException("Not implemented: getOperationsStub()");
+  }
+
+  public OperationCallable<CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+      createEndpointOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: createEndpointOperationCallable()");
+  }
+
+  public UnaryCallable<CreateEndpointRequest, Operation> createEndpointCallable() {
+    throw new UnsupportedOperationException("Not implemented: createEndpointCallable()");
+  }
+
+  public UnaryCallable<GetEndpointRequest, Endpoint> getEndpointCallable() {
+    throw new UnsupportedOperationException("Not implemented: getEndpointCallable()");
+  }
+
+  public UnaryCallable<ListEndpointsRequest, ListEndpointsPagedResponse>
+      listEndpointsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listEndpointsPagedCallable()");
+  }
+
+  public UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndpointsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listEndpointsCallable()");
+  }
+
+  public UnaryCallable<UpdateEndpointRequest, Endpoint> updateEndpointCallable() {
+    throw new UnsupportedOperationException("Not implemented: updateEndpointCallable()");
+  }
+
+  public OperationCallable<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+      deleteEndpointOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteEndpointOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteEndpointRequest, Operation> deleteEndpointCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteEndpointCallable()");
+  }
+
+  public OperationCallable<DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+      deployModelOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: deployModelOperationCallable()");
+  }
+
+  public UnaryCallable<DeployModelRequest, Operation> deployModelCallable() {
+    throw new UnsupportedOperationException("Not implemented: deployModelCallable()");
+  }
+
+  public OperationCallable<
+          UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: undeployModelOperationCallable()");
+  }
+
+  public UnaryCallable<UndeployModelRequest, Operation> undeployModelCallable() {
+    throw new UnsupportedOperationException("Not implemented: undeployModelCallable()");
+  }
+
+  @Override
+  public abstract void close();
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStubSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStubSettings.java
new file mode 100644
index 000000000..285c56852
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/EndpointServiceStubSettings.java
@@ -0,0 +1,673 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.EndpointServiceClient.ListEndpointsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GaxProperties;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.GrpcTransportChannel;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.grpc.ProtoOperationTransformers;
+import com.google.api.gax.longrunning.OperationSnapshot;
+import com.google.api.gax.longrunning.OperationTimedPollAlgorithm;
+import com.google.api.gax.retrying.RetrySettings;
+import com.google.api.gax.rpc.ApiCallContext;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.PagedListDescriptor;
+import com.google.api.gax.rpc.PagedListResponseFactory;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.api.gax.rpc.StubSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateEndpointRequest;
+import com.google.cloud.aiplatform.v1.DeleteEndpointRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeployModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeployModelRequest;
+import com.google.cloud.aiplatform.v1.DeployModelResponse;
+import com.google.cloud.aiplatform.v1.Endpoint;
+import com.google.cloud.aiplatform.v1.GetEndpointRequest;
+import com.google.cloud.aiplatform.v1.ListEndpointsRequest;
+import com.google.cloud.aiplatform.v1.ListEndpointsResponse;
+import com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.UndeployModelRequest;
+import com.google.cloud.aiplatform.v1.UndeployModelResponse;
+import com.google.cloud.aiplatform.v1.UpdateEndpointRequest;
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+import org.threeten.bp.Duration;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link EndpointServiceStub}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of getEndpoint to 30 seconds:
+ *
+ * <pre>{@code
+ * EndpointServiceStubSettings.Builder endpointServiceSettingsBuilder =
+ *     EndpointServiceStubSettings.newBuilder();
+ * endpointServiceSettingsBuilder
+ *     .getEndpointSettings()
+ *     .setRetrySettings(
+ *         endpointServiceSettingsBuilder
+ *             .getEndpointSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * EndpointServiceStubSettings endpointServiceSettings = endpointServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class EndpointServiceStubSettings extends StubSettings<EndpointServiceStubSettings> {
+  /** The default scopes of the service. */
+  private static final ImmutableList<String> DEFAULT_SERVICE_SCOPES =
+      ImmutableList.<String>builder().add("https://www.googleapis.com/auth/cloud-platform").build();
+
+  private final UnaryCallSettings<CreateEndpointRequest, Operation> createEndpointSettings;
+  private final OperationCallSettings<
+          CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+      createEndpointOperationSettings;
+  private final UnaryCallSettings<GetEndpointRequest, Endpoint> getEndpointSettings;
+  private final PagedCallSettings<
+          ListEndpointsRequest, ListEndpointsResponse, ListEndpointsPagedResponse>
+      listEndpointsSettings;
+  private final UnaryCallSettings<UpdateEndpointRequest, Endpoint> updateEndpointSettings;
+  private final UnaryCallSettings<DeleteEndpointRequest, Operation> deleteEndpointSettings;
+  private final OperationCallSettings<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+      deleteEndpointOperationSettings;
+  private final UnaryCallSettings<DeployModelRequest, Operation> deployModelSettings;
+  private final OperationCallSettings<
+          DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+      deployModelOperationSettings;
+  private final UnaryCallSettings<UndeployModelRequest, Operation> undeployModelSettings;
+  private final OperationCallSettings<
+          UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelOperationSettings;
+
+  private static final PagedListDescriptor<ListEndpointsRequest, ListEndpointsResponse, Endpoint>
+      LIST_ENDPOINTS_PAGE_STR_DESC =
+          new PagedListDescriptor<ListEndpointsRequest, ListEndpointsResponse, Endpoint>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListEndpointsRequest injectToken(ListEndpointsRequest payload, String token) {
+              return ListEndpointsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListEndpointsRequest injectPageSize(ListEndpointsRequest payload, int pageSize) {
+              return ListEndpointsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListEndpointsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListEndpointsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<Endpoint> extractResources(ListEndpointsResponse payload) {
+              return payload.getEndpointsList() == null
+                  ? ImmutableList.<Endpoint>of()
+                  : payload.getEndpointsList();
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListEndpointsRequest, ListEndpointsResponse, ListEndpointsPagedResponse>
+      LIST_ENDPOINTS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListEndpointsRequest, ListEndpointsResponse, ListEndpointsPagedResponse>() {
+            @Override
+            public ApiFuture<ListEndpointsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> callable,
+                ListEndpointsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListEndpointsResponse> futureResponse) {
+              PageContext<ListEndpointsRequest, ListEndpointsResponse, Endpoint> pageContext =
+                  PageContext.create(callable, LIST_ENDPOINTS_PAGE_STR_DESC, request, context);
+              return ListEndpointsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  /** Returns the object with the settings used for calls to createEndpoint. */
+  public UnaryCallSettings<CreateEndpointRequest, Operation> createEndpointSettings() {
+    return createEndpointSettings;
+  }
+
+  /** Returns the object with the settings used for calls to createEndpoint. */
+  public OperationCallSettings<CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+      createEndpointOperationSettings() {
+    return createEndpointOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getEndpoint. */
+  public UnaryCallSettings<GetEndpointRequest, Endpoint> getEndpointSettings() {
+    return getEndpointSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listEndpoints. */
+  public PagedCallSettings<ListEndpointsRequest, ListEndpointsResponse, ListEndpointsPagedResponse>
+      listEndpointsSettings() {
+    return listEndpointsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to updateEndpoint. */
+  public UnaryCallSettings<UpdateEndpointRequest, Endpoint> updateEndpointSettings() {
+    return updateEndpointSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteEndpoint. */
+  public UnaryCallSettings<DeleteEndpointRequest, Operation> deleteEndpointSettings() {
+    return deleteEndpointSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteEndpoint. */
+  public OperationCallSettings<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+      deleteEndpointOperationSettings() {
+    return deleteEndpointOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deployModel. */
+  public UnaryCallSettings<DeployModelRequest, Operation> deployModelSettings() {
+    return deployModelSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deployModel. */
+  public OperationCallSettings<
+          DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+      deployModelOperationSettings() {
+    return deployModelOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to undeployModel. */
+  public UnaryCallSettings<UndeployModelRequest, Operation> undeployModelSettings() {
+    return undeployModelSettings;
+  }
+
+  /** Returns the object with the settings used for calls to undeployModel. */
+  public OperationCallSettings<
+          UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelOperationSettings() {
+    return undeployModelOperationSettings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public EndpointServiceStub createStub() throws IOException {
+    if (getTransportChannelProvider()
+        .getTransportName()
+        .equals(GrpcTransportChannel.getGrpcTransportName())) {
+      return GrpcEndpointServiceStub.create(this);
+    }
+    throw new UnsupportedOperationException(
+        String.format(
+            "Transport not supported: %s", getTransportChannelProvider().getTransportName()));
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return InstantiatingExecutorProvider.newBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return "aiplatform.googleapis.com:443";
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DEFAULT_SERVICE_SCOPES;
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES);
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return InstantiatingGrpcChannelProvider.newBuilder()
+        .setMaxInboundMessageSize(Integer.MAX_VALUE);
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return defaultGrpcTransportProviderBuilder().build();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ApiClientHeaderProvider.newBuilder()
+        .setGeneratedLibToken(
+            "gapic", GaxProperties.getLibraryVersion(EndpointServiceStubSettings.class))
+        .setTransportToken(
+            GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion());
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected EndpointServiceStubSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+
+    createEndpointSettings = settingsBuilder.createEndpointSettings().build();
+    createEndpointOperationSettings = settingsBuilder.createEndpointOperationSettings().build();
+    getEndpointSettings = settingsBuilder.getEndpointSettings().build();
+    listEndpointsSettings = settingsBuilder.listEndpointsSettings().build();
+    updateEndpointSettings = settingsBuilder.updateEndpointSettings().build();
+    deleteEndpointSettings = settingsBuilder.deleteEndpointSettings().build();
+    deleteEndpointOperationSettings = settingsBuilder.deleteEndpointOperationSettings().build();
+    deployModelSettings = settingsBuilder.deployModelSettings().build();
+    deployModelOperationSettings = settingsBuilder.deployModelOperationSettings().build();
+    undeployModelSettings = settingsBuilder.undeployModelSettings().build();
+    undeployModelOperationSettings = settingsBuilder.undeployModelOperationSettings().build();
+  }
+
+  /** Builder for EndpointServiceStubSettings. */
+  public static class Builder extends StubSettings.Builder<EndpointServiceStubSettings, Builder> {
+    private final ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders;
+    private final UnaryCallSettings.Builder<CreateEndpointRequest, Operation>
+        createEndpointSettings;
+    private final OperationCallSettings.Builder<
+            CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+        createEndpointOperationSettings;
+    private final UnaryCallSettings.Builder<GetEndpointRequest, Endpoint> getEndpointSettings;
+    private final PagedCallSettings.Builder<
+            ListEndpointsRequest, ListEndpointsResponse, ListEndpointsPagedResponse>
+        listEndpointsSettings;
+    private final UnaryCallSettings.Builder<UpdateEndpointRequest, Endpoint> updateEndpointSettings;
+    private final UnaryCallSettings.Builder<DeleteEndpointRequest, Operation>
+        deleteEndpointSettings;
+    private final OperationCallSettings.Builder<
+            DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+        deleteEndpointOperationSettings;
+    private final UnaryCallSettings.Builder<DeployModelRequest, Operation> deployModelSettings;
+    private final OperationCallSettings.Builder<
+            DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+        deployModelOperationSettings;
+    private final UnaryCallSettings.Builder<UndeployModelRequest, Operation> undeployModelSettings;
+    private final OperationCallSettings.Builder<
+            UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+        undeployModelOperationSettings;
+    private static final ImmutableMap<String, ImmutableSet<StatusCode.Code>>
+        RETRYABLE_CODE_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, ImmutableSet<StatusCode.Code>> definitions =
+          ImmutableMap.builder();
+      definitions.put("no_retry_codes", ImmutableSet.copyOf(Lists.<StatusCode.Code>newArrayList()));
+      RETRYABLE_CODE_DEFINITIONS = definitions.build();
+    }
+
+    private static final ImmutableMap<String, RetrySettings> RETRY_PARAM_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, RetrySettings> definitions = ImmutableMap.builder();
+      RetrySettings settings = null;
+      settings = RetrySettings.newBuilder().setRpcTimeoutMultiplier(1.0).build();
+      definitions.put("no_retry_params", settings);
+      RETRY_PARAM_DEFINITIONS = definitions.build();
+    }
+
+    protected Builder() {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(clientContext);
+
+      createEndpointSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      createEndpointOperationSettings = OperationCallSettings.newBuilder();
+      getEndpointSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listEndpointsSettings = PagedCallSettings.newBuilder(LIST_ENDPOINTS_PAGE_STR_FACT);
+      updateEndpointSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteEndpointSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteEndpointOperationSettings = OperationCallSettings.newBuilder();
+      deployModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deployModelOperationSettings = OperationCallSettings.newBuilder();
+      undeployModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      undeployModelOperationSettings = OperationCallSettings.newBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createEndpointSettings,
+              getEndpointSettings,
+              listEndpointsSettings,
+              updateEndpointSettings,
+              deleteEndpointSettings,
+              deployModelSettings,
+              undeployModelSettings);
+      initDefaults(this);
+    }
+
+    protected Builder(EndpointServiceStubSettings settings) {
+      super(settings);
+
+      createEndpointSettings = settings.createEndpointSettings.toBuilder();
+      createEndpointOperationSettings = settings.createEndpointOperationSettings.toBuilder();
+      getEndpointSettings = settings.getEndpointSettings.toBuilder();
+      listEndpointsSettings = settings.listEndpointsSettings.toBuilder();
+      updateEndpointSettings = settings.updateEndpointSettings.toBuilder();
+      deleteEndpointSettings = settings.deleteEndpointSettings.toBuilder();
+      deleteEndpointOperationSettings = settings.deleteEndpointOperationSettings.toBuilder();
+      deployModelSettings = settings.deployModelSettings.toBuilder();
+      deployModelOperationSettings = settings.deployModelOperationSettings.toBuilder();
+      undeployModelSettings = settings.undeployModelSettings.toBuilder();
+      undeployModelOperationSettings = settings.undeployModelOperationSettings.toBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createEndpointSettings,
+              getEndpointSettings,
+              listEndpointsSettings,
+              updateEndpointSettings,
+              deleteEndpointSettings,
+              deployModelSettings,
+              undeployModelSettings);
+    }
+
+    private static Builder createDefault() {
+      Builder builder = new Builder(((ClientContext) null));
+
+      builder.setTransportChannelProvider(defaultTransportChannelProvider());
+      builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build());
+      builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build());
+      builder.setEndpoint(getDefaultEndpoint());
+
+      return initDefaults(builder);
+    }
+
+    private static Builder initDefaults(Builder builder) {
+      builder
+          .createEndpointSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getEndpointSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listEndpointsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .updateEndpointSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteEndpointSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deployModelSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .undeployModelSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .createEndpointOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<CreateEndpointRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Endpoint.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  CreateEndpointOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .deleteEndpointOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<DeleteEndpointRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .deployModelOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings.<DeployModelRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(DeployModelResponse.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  DeployModelOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .undeployModelOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<UndeployModelRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(UndeployModelResponse.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  UndeployModelOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      return builder;
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater);
+      return this;
+    }
+
+    public ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders() {
+      return unaryMethodSettingsBuilders;
+    }
+
+    /** Returns the builder for the settings used for calls to createEndpoint. */
+    public UnaryCallSettings.Builder<CreateEndpointRequest, Operation> createEndpointSettings() {
+      return createEndpointSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to createEndpoint. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+        createEndpointOperationSettings() {
+      return createEndpointOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getEndpoint. */
+    public UnaryCallSettings.Builder<GetEndpointRequest, Endpoint> getEndpointSettings() {
+      return getEndpointSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listEndpoints. */
+    public PagedCallSettings.Builder<
+            ListEndpointsRequest, ListEndpointsResponse, ListEndpointsPagedResponse>
+        listEndpointsSettings() {
+      return listEndpointsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to updateEndpoint. */
+    public UnaryCallSettings.Builder<UpdateEndpointRequest, Endpoint> updateEndpointSettings() {
+      return updateEndpointSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteEndpoint. */
+    public UnaryCallSettings.Builder<DeleteEndpointRequest, Operation> deleteEndpointSettings() {
+      return deleteEndpointSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteEndpoint. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+        deleteEndpointOperationSettings() {
+      return deleteEndpointOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deployModel. */
+    public UnaryCallSettings.Builder<DeployModelRequest, Operation> deployModelSettings() {
+      return deployModelSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deployModel. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+        deployModelOperationSettings() {
+      return deployModelOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to undeployModel. */
+    public UnaryCallSettings.Builder<UndeployModelRequest, Operation> undeployModelSettings() {
+      return undeployModelSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to undeployModel. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+        undeployModelOperationSettings() {
+      return undeployModelOperationSettings;
+    }
+
+    @Override
+    public EndpointServiceStubSettings build() throws IOException {
+      return new EndpointServiceStubSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcDatasetServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcDatasetServiceCallableFactory.java
new file mode 100644
index 000000000..cc347b760
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcDatasetServiceCallableFactory.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcCallableFactory;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.BatchingCallSettings;
+import com.google.api.gax.rpc.BidiStreamingCallable;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientStreamingCallable;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallable;
+import com.google.api.gax.rpc.StreamingCallSettings;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC callable factory implementation for the DatasetService service API.
+ *
+ * <p>This class is for advanced usage.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcDatasetServiceCallableFactory implements GrpcStubCallableFactory {
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createUnaryCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      UnaryCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, PagedListResponseT>
+      UnaryCallable<RequestT, PagedListResponseT> createPagedCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          PagedCallSettings<RequestT, ResponseT, PagedListResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createPagedCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createBatchingCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      BatchingCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createBatchingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, MetadataT>
+      OperationCallable<RequestT, ResponseT, MetadataT> createOperationCallable(
+          GrpcCallSettings<RequestT, Operation> grpcCallSettings,
+          OperationCallSettings<RequestT, ResponseT, MetadataT> callSettings,
+          ClientContext clientContext,
+          OperationsStub operationsStub) {
+    return GrpcCallableFactory.createOperationCallable(
+        grpcCallSettings, callSettings, clientContext, operationsStub);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      BidiStreamingCallable<RequestT, ResponseT> createBidiStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createBidiStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ServerStreamingCallable<RequestT, ResponseT> createServerStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          ServerStreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createServerStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ClientStreamingCallable<RequestT, ResponseT> createClientStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createClientStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcDatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcDatasetServiceStub.java
new file mode 100644
index 000000000..f24e1ce12
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcDatasetServiceStub.java
@@ -0,0 +1,548 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDataItemsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.core.BackgroundResourceAggregation;
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.RequestParamsExtractor;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.AnnotationSpec;
+import com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateDatasetRequest;
+import com.google.cloud.aiplatform.v1.Dataset;
+import com.google.cloud.aiplatform.v1.DeleteDatasetRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportDataOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportDataRequest;
+import com.google.cloud.aiplatform.v1.ExportDataResponse;
+import com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest;
+import com.google.cloud.aiplatform.v1.GetDatasetRequest;
+import com.google.cloud.aiplatform.v1.ImportDataOperationMetadata;
+import com.google.cloud.aiplatform.v1.ImportDataRequest;
+import com.google.cloud.aiplatform.v1.ImportDataResponse;
+import com.google.cloud.aiplatform.v1.ListAnnotationsRequest;
+import com.google.cloud.aiplatform.v1.ListAnnotationsResponse;
+import com.google.cloud.aiplatform.v1.ListDataItemsRequest;
+import com.google.cloud.aiplatform.v1.ListDataItemsResponse;
+import com.google.cloud.aiplatform.v1.ListDatasetsRequest;
+import com.google.cloud.aiplatform.v1.ListDatasetsResponse;
+import com.google.cloud.aiplatform.v1.UpdateDatasetRequest;
+import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.GrpcOperationsStub;
+import com.google.protobuf.Empty;
+import io.grpc.MethodDescriptor;
+import io.grpc.protobuf.ProtoUtils;
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC stub implementation for the DatasetService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcDatasetServiceStub extends DatasetServiceStub {
+  private static final MethodDescriptor<CreateDatasetRequest, Operation>
+      createDatasetMethodDescriptor =
+          MethodDescriptor.<CreateDatasetRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/CreateDataset")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CreateDatasetRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetDatasetRequest, Dataset> getDatasetMethodDescriptor =
+      MethodDescriptor.<GetDatasetRequest, Dataset>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/GetDataset")
+          .setRequestMarshaller(ProtoUtils.marshaller(GetDatasetRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Dataset.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<UpdateDatasetRequest, Dataset>
+      updateDatasetMethodDescriptor =
+          MethodDescriptor.<UpdateDatasetRequest, Dataset>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/UpdateDataset")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(UpdateDatasetRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Dataset.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<ListDatasetsRequest, ListDatasetsResponse>
+      listDatasetsMethodDescriptor =
+          MethodDescriptor.<ListDatasetsRequest, ListDatasetsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/ListDatasets")
+              .setRequestMarshaller(ProtoUtils.marshaller(ListDatasetsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListDatasetsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeleteDatasetRequest, Operation>
+      deleteDatasetMethodDescriptor =
+          MethodDescriptor.<DeleteDatasetRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/DeleteDataset")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(DeleteDatasetRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<ImportDataRequest, Operation> importDataMethodDescriptor =
+      MethodDescriptor.<ImportDataRequest, Operation>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/ImportData")
+          .setRequestMarshaller(ProtoUtils.marshaller(ImportDataRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<ExportDataRequest, Operation> exportDataMethodDescriptor =
+      MethodDescriptor.<ExportDataRequest, Operation>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/ExportData")
+          .setRequestMarshaller(ProtoUtils.marshaller(ExportDataRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<ListDataItemsRequest, ListDataItemsResponse>
+      listDataItemsMethodDescriptor =
+          MethodDescriptor.<ListDataItemsRequest, ListDataItemsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/ListDataItems")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListDataItemsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListDataItemsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetAnnotationSpecRequest, AnnotationSpec>
+      getAnnotationSpecMethodDescriptor =
+          MethodDescriptor.<GetAnnotationSpecRequest, AnnotationSpec>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/GetAnnotationSpec")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetAnnotationSpecRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(AnnotationSpec.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<ListAnnotationsRequest, ListAnnotationsResponse>
+      listAnnotationsMethodDescriptor =
+          MethodDescriptor.<ListAnnotationsRequest, ListAnnotationsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.DatasetService/ListAnnotations")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListAnnotationsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListAnnotationsResponse.getDefaultInstance()))
+              .build();
+
+  private final UnaryCallable<CreateDatasetRequest, Operation> createDatasetCallable;
+  private final OperationCallable<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+      createDatasetOperationCallable;
+  private final UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable;
+  private final UnaryCallable<UpdateDatasetRequest, Dataset> updateDatasetCallable;
+  private final UnaryCallable<ListDatasetsRequest, ListDatasetsResponse> listDatasetsCallable;
+  private final UnaryCallable<ListDatasetsRequest, ListDatasetsPagedResponse>
+      listDatasetsPagedCallable;
+  private final UnaryCallable<DeleteDatasetRequest, Operation> deleteDatasetCallable;
+  private final OperationCallable<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+      deleteDatasetOperationCallable;
+  private final UnaryCallable<ImportDataRequest, Operation> importDataCallable;
+  private final OperationCallable<
+          ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+      importDataOperationCallable;
+  private final UnaryCallable<ExportDataRequest, Operation> exportDataCallable;
+  private final OperationCallable<
+          ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+      exportDataOperationCallable;
+  private final UnaryCallable<ListDataItemsRequest, ListDataItemsResponse> listDataItemsCallable;
+  private final UnaryCallable<ListDataItemsRequest, ListDataItemsPagedResponse>
+      listDataItemsPagedCallable;
+  private final UnaryCallable<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecCallable;
+  private final UnaryCallable<ListAnnotationsRequest, ListAnnotationsResponse>
+      listAnnotationsCallable;
+  private final UnaryCallable<ListAnnotationsRequest, ListAnnotationsPagedResponse>
+      listAnnotationsPagedCallable;
+
+  private final BackgroundResource backgroundResources;
+  private final GrpcOperationsStub operationsStub;
+  private final GrpcStubCallableFactory callableFactory;
+
+  public static final GrpcDatasetServiceStub create(DatasetServiceStubSettings settings)
+      throws IOException {
+    return new GrpcDatasetServiceStub(settings, ClientContext.create(settings));
+  }
+
+  public static final GrpcDatasetServiceStub create(ClientContext clientContext)
+      throws IOException {
+    return new GrpcDatasetServiceStub(
+        DatasetServiceStubSettings.newBuilder().build(), clientContext);
+  }
+
+  public static final GrpcDatasetServiceStub create(
+      ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
+    return new GrpcDatasetServiceStub(
+        DatasetServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
+  }
+
+  /**
+   * Constructs an instance of GrpcDatasetServiceStub, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcDatasetServiceStub(DatasetServiceStubSettings settings, ClientContext clientContext)
+      throws IOException {
+    this(settings, clientContext, new GrpcDatasetServiceCallableFactory());
+  }
+
+  /**
+   * Constructs an instance of GrpcDatasetServiceStub, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcDatasetServiceStub(
+      DatasetServiceStubSettings settings,
+      ClientContext clientContext,
+      GrpcStubCallableFactory callableFactory)
+      throws IOException {
+    this.callableFactory = callableFactory;
+    this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
+
+    GrpcCallSettings<CreateDatasetRequest, Operation> createDatasetTransportSettings =
+        GrpcCallSettings.<CreateDatasetRequest, Operation>newBuilder()
+            .setMethodDescriptor(createDatasetMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<CreateDatasetRequest>() {
+                  @Override
+                  public Map<String, String> extract(CreateDatasetRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<GetDatasetRequest, Dataset> getDatasetTransportSettings =
+        GrpcCallSettings.<GetDatasetRequest, Dataset>newBuilder()
+            .setMethodDescriptor(getDatasetMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<GetDatasetRequest>() {
+                  @Override
+                  public Map<String, String> extract(GetDatasetRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<UpdateDatasetRequest, Dataset> updateDatasetTransportSettings =
+        GrpcCallSettings.<UpdateDatasetRequest, Dataset>newBuilder()
+            .setMethodDescriptor(updateDatasetMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<UpdateDatasetRequest>() {
+                  @Override
+                  public Map<String, String> extract(UpdateDatasetRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("dataset.name", String.valueOf(request.getDataset().getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ListDatasetsRequest, ListDatasetsResponse> listDatasetsTransportSettings =
+        GrpcCallSettings.<ListDatasetsRequest, ListDatasetsResponse>newBuilder()
+            .setMethodDescriptor(listDatasetsMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<ListDatasetsRequest>() {
+                  @Override
+                  public Map<String, String> extract(ListDatasetsRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<DeleteDatasetRequest, Operation> deleteDatasetTransportSettings =
+        GrpcCallSettings.<DeleteDatasetRequest, Operation>newBuilder()
+            .setMethodDescriptor(deleteDatasetMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<DeleteDatasetRequest>() {
+                  @Override
+                  public Map<String, String> extract(DeleteDatasetRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ImportDataRequest, Operation> importDataTransportSettings =
+        GrpcCallSettings.<ImportDataRequest, Operation>newBuilder()
+            .setMethodDescriptor(importDataMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<ImportDataRequest>() {
+                  @Override
+                  public Map<String, String> extract(ImportDataRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ExportDataRequest, Operation> exportDataTransportSettings =
+        GrpcCallSettings.<ExportDataRequest, Operation>newBuilder()
+            .setMethodDescriptor(exportDataMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<ExportDataRequest>() {
+                  @Override
+                  public Map<String, String> extract(ExportDataRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ListDataItemsRequest, ListDataItemsResponse> listDataItemsTransportSettings =
+        GrpcCallSettings.<ListDataItemsRequest, ListDataItemsResponse>newBuilder()
+            .setMethodDescriptor(listDataItemsMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<ListDataItemsRequest>() {
+                  @Override
+                  public Map<String, String> extract(ListDataItemsRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecTransportSettings =
+        GrpcCallSettings.<GetAnnotationSpecRequest, AnnotationSpec>newBuilder()
+            .setMethodDescriptor(getAnnotationSpecMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<GetAnnotationSpecRequest>() {
+                  @Override
+                  public Map<String, String> extract(GetAnnotationSpecRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ListAnnotationsRequest, ListAnnotationsResponse>
+        listAnnotationsTransportSettings =
+            GrpcCallSettings.<ListAnnotationsRequest, ListAnnotationsResponse>newBuilder()
+                .setMethodDescriptor(listAnnotationsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListAnnotationsRequest>() {
+                      @Override
+                      public Map<String, String> extract(ListAnnotationsRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+
+    this.createDatasetCallable =
+        callableFactory.createUnaryCallable(
+            createDatasetTransportSettings, settings.createDatasetSettings(), clientContext);
+    this.createDatasetOperationCallable =
+        callableFactory.createOperationCallable(
+            createDatasetTransportSettings,
+            settings.createDatasetOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.getDatasetCallable =
+        callableFactory.createUnaryCallable(
+            getDatasetTransportSettings, settings.getDatasetSettings(), clientContext);
+    this.updateDatasetCallable =
+        callableFactory.createUnaryCallable(
+            updateDatasetTransportSettings, settings.updateDatasetSettings(), clientContext);
+    this.listDatasetsCallable =
+        callableFactory.createUnaryCallable(
+            listDatasetsTransportSettings, settings.listDatasetsSettings(), clientContext);
+    this.listDatasetsPagedCallable =
+        callableFactory.createPagedCallable(
+            listDatasetsTransportSettings, settings.listDatasetsSettings(), clientContext);
+    this.deleteDatasetCallable =
+        callableFactory.createUnaryCallable(
+            deleteDatasetTransportSettings, settings.deleteDatasetSettings(), clientContext);
+    this.deleteDatasetOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteDatasetTransportSettings,
+            settings.deleteDatasetOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.importDataCallable =
+        callableFactory.createUnaryCallable(
+            importDataTransportSettings, settings.importDataSettings(), clientContext);
+    this.importDataOperationCallable =
+        callableFactory.createOperationCallable(
+            importDataTransportSettings,
+            settings.importDataOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.exportDataCallable =
+        callableFactory.createUnaryCallable(
+            exportDataTransportSettings, settings.exportDataSettings(), clientContext);
+    this.exportDataOperationCallable =
+        callableFactory.createOperationCallable(
+            exportDataTransportSettings,
+            settings.exportDataOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.listDataItemsCallable =
+        callableFactory.createUnaryCallable(
+            listDataItemsTransportSettings, settings.listDataItemsSettings(), clientContext);
+    this.listDataItemsPagedCallable =
+        callableFactory.createPagedCallable(
+            listDataItemsTransportSettings, settings.listDataItemsSettings(), clientContext);
+    this.getAnnotationSpecCallable =
+        callableFactory.createUnaryCallable(
+            getAnnotationSpecTransportSettings,
+            settings.getAnnotationSpecSettings(),
+            clientContext);
+    this.listAnnotationsCallable =
+        callableFactory.createUnaryCallable(
+            listAnnotationsTransportSettings, settings.listAnnotationsSettings(), clientContext);
+    this.listAnnotationsPagedCallable =
+        callableFactory.createPagedCallable(
+            listAnnotationsTransportSettings, settings.listAnnotationsSettings(), clientContext);
+
+    this.backgroundResources =
+        new BackgroundResourceAggregation(clientContext.getBackgroundResources());
+  }
+
+  public GrpcOperationsStub getOperationsStub() {
+    return operationsStub;
+  }
+
+  public UnaryCallable<CreateDatasetRequest, Operation> createDatasetCallable() {
+    return createDatasetCallable;
+  }
+
+  public OperationCallable<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
+      createDatasetOperationCallable() {
+    return createDatasetOperationCallable;
+  }
+
+  public UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
+    return getDatasetCallable;
+  }
+
+  public UnaryCallable<UpdateDatasetRequest, Dataset> updateDatasetCallable() {
+    return updateDatasetCallable;
+  }
+
+  public UnaryCallable<ListDatasetsRequest, ListDatasetsResponse> listDatasetsCallable() {
+    return listDatasetsCallable;
+  }
+
+  public UnaryCallable<ListDatasetsRequest, ListDatasetsPagedResponse> listDatasetsPagedCallable() {
+    return listDatasetsPagedCallable;
+  }
+
+  public UnaryCallable<DeleteDatasetRequest, Operation> deleteDatasetCallable() {
+    return deleteDatasetCallable;
+  }
+
+  public OperationCallable<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
+      deleteDatasetOperationCallable() {
+    return deleteDatasetOperationCallable;
+  }
+
+  public UnaryCallable<ImportDataRequest, Operation> importDataCallable() {
+    return importDataCallable;
+  }
+
+  public OperationCallable<ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
+      importDataOperationCallable() {
+    return importDataOperationCallable;
+  }
+
+  public UnaryCallable<ExportDataRequest, Operation> exportDataCallable() {
+    return exportDataCallable;
+  }
+
+  public OperationCallable<ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
+      exportDataOperationCallable() {
+    return exportDataOperationCallable;
+  }
+
+  public UnaryCallable<ListDataItemsRequest, ListDataItemsResponse> listDataItemsCallable() {
+    return listDataItemsCallable;
+  }
+
+  public UnaryCallable<ListDataItemsRequest, ListDataItemsPagedResponse>
+      listDataItemsPagedCallable() {
+    return listDataItemsPagedCallable;
+  }
+
+  public UnaryCallable<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecCallable() {
+    return getAnnotationSpecCallable;
+  }
+
+  public UnaryCallable<ListAnnotationsRequest, ListAnnotationsResponse> listAnnotationsCallable() {
+    return listAnnotationsCallable;
+  }
+
+  public UnaryCallable<ListAnnotationsRequest, ListAnnotationsPagedResponse>
+      listAnnotationsPagedCallable() {
+    return listAnnotationsPagedCallable;
+  }
+
+  @Override
+  public final void close() {
+    shutdown();
+  }
+
+  @Override
+  public void shutdown() {
+    backgroundResources.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return backgroundResources.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return backgroundResources.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    backgroundResources.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return backgroundResources.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcEndpointServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcEndpointServiceCallableFactory.java
new file mode 100644
index 000000000..cf0e0f1a7
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcEndpointServiceCallableFactory.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcCallableFactory;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.BatchingCallSettings;
+import com.google.api.gax.rpc.BidiStreamingCallable;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientStreamingCallable;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallable;
+import com.google.api.gax.rpc.StreamingCallSettings;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC callable factory implementation for the EndpointService service API.
+ *
+ * <p>This class is for advanced usage.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcEndpointServiceCallableFactory implements GrpcStubCallableFactory {
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createUnaryCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      UnaryCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, PagedListResponseT>
+      UnaryCallable<RequestT, PagedListResponseT> createPagedCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          PagedCallSettings<RequestT, ResponseT, PagedListResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createPagedCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createBatchingCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      BatchingCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createBatchingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, MetadataT>
+      OperationCallable<RequestT, ResponseT, MetadataT> createOperationCallable(
+          GrpcCallSettings<RequestT, Operation> grpcCallSettings,
+          OperationCallSettings<RequestT, ResponseT, MetadataT> callSettings,
+          ClientContext clientContext,
+          OperationsStub operationsStub) {
+    return GrpcCallableFactory.createOperationCallable(
+        grpcCallSettings, callSettings, clientContext, operationsStub);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      BidiStreamingCallable<RequestT, ResponseT> createBidiStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createBidiStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ServerStreamingCallable<RequestT, ResponseT> createServerStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          ServerStreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createServerStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ClientStreamingCallable<RequestT, ResponseT> createClientStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createClientStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcEndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcEndpointServiceStub.java
new file mode 100644
index 000000000..c6c4098ec
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcEndpointServiceStub.java
@@ -0,0 +1,426 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.EndpointServiceClient.ListEndpointsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.core.BackgroundResourceAggregation;
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.RequestParamsExtractor;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateEndpointRequest;
+import com.google.cloud.aiplatform.v1.DeleteEndpointRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeployModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeployModelRequest;
+import com.google.cloud.aiplatform.v1.DeployModelResponse;
+import com.google.cloud.aiplatform.v1.Endpoint;
+import com.google.cloud.aiplatform.v1.GetEndpointRequest;
+import com.google.cloud.aiplatform.v1.ListEndpointsRequest;
+import com.google.cloud.aiplatform.v1.ListEndpointsResponse;
+import com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.UndeployModelRequest;
+import com.google.cloud.aiplatform.v1.UndeployModelResponse;
+import com.google.cloud.aiplatform.v1.UpdateEndpointRequest;
+import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.GrpcOperationsStub;
+import com.google.protobuf.Empty;
+import io.grpc.MethodDescriptor;
+import io.grpc.protobuf.ProtoUtils;
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC stub implementation for the EndpointService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcEndpointServiceStub extends EndpointServiceStub {
+  private static final MethodDescriptor<CreateEndpointRequest, Operation>
+      createEndpointMethodDescriptor =
+          MethodDescriptor.<CreateEndpointRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.EndpointService/CreateEndpoint")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CreateEndpointRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetEndpointRequest, Endpoint> getEndpointMethodDescriptor =
+      MethodDescriptor.<GetEndpointRequest, Endpoint>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.EndpointService/GetEndpoint")
+          .setRequestMarshaller(ProtoUtils.marshaller(GetEndpointRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Endpoint.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<ListEndpointsRequest, ListEndpointsResponse>
+      listEndpointsMethodDescriptor =
+          MethodDescriptor.<ListEndpointsRequest, ListEndpointsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.EndpointService/ListEndpoints")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListEndpointsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListEndpointsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<UpdateEndpointRequest, Endpoint>
+      updateEndpointMethodDescriptor =
+          MethodDescriptor.<UpdateEndpointRequest, Endpoint>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.EndpointService/UpdateEndpoint")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(UpdateEndpointRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Endpoint.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeleteEndpointRequest, Operation>
+      deleteEndpointMethodDescriptor =
+          MethodDescriptor.<DeleteEndpointRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.EndpointService/DeleteEndpoint")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(DeleteEndpointRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeployModelRequest, Operation> deployModelMethodDescriptor =
+      MethodDescriptor.<DeployModelRequest, Operation>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.EndpointService/DeployModel")
+          .setRequestMarshaller(ProtoUtils.marshaller(DeployModelRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<UndeployModelRequest, Operation>
+      undeployModelMethodDescriptor =
+          MethodDescriptor.<UndeployModelRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.EndpointService/UndeployModel")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(UndeployModelRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private final UnaryCallable<CreateEndpointRequest, Operation> createEndpointCallable;
+  private final OperationCallable<CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+      createEndpointOperationCallable;
+  private final UnaryCallable<GetEndpointRequest, Endpoint> getEndpointCallable;
+  private final UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndpointsCallable;
+  private final UnaryCallable<ListEndpointsRequest, ListEndpointsPagedResponse>
+      listEndpointsPagedCallable;
+  private final UnaryCallable<UpdateEndpointRequest, Endpoint> updateEndpointCallable;
+  private final UnaryCallable<DeleteEndpointRequest, Operation> deleteEndpointCallable;
+  private final OperationCallable<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+      deleteEndpointOperationCallable;
+  private final UnaryCallable<DeployModelRequest, Operation> deployModelCallable;
+  private final OperationCallable<
+          DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+      deployModelOperationCallable;
+  private final UnaryCallable<UndeployModelRequest, Operation> undeployModelCallable;
+  private final OperationCallable<
+          UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelOperationCallable;
+
+  private final BackgroundResource backgroundResources;
+  private final GrpcOperationsStub operationsStub;
+  private final GrpcStubCallableFactory callableFactory;
+
+  public static final GrpcEndpointServiceStub create(EndpointServiceStubSettings settings)
+      throws IOException {
+    return new GrpcEndpointServiceStub(settings, ClientContext.create(settings));
+  }
+
+  public static final GrpcEndpointServiceStub create(ClientContext clientContext)
+      throws IOException {
+    return new GrpcEndpointServiceStub(
+        EndpointServiceStubSettings.newBuilder().build(), clientContext);
+  }
+
+  public static final GrpcEndpointServiceStub create(
+      ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
+    return new GrpcEndpointServiceStub(
+        EndpointServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
+  }
+
+  /**
+   * Constructs an instance of GrpcEndpointServiceStub, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcEndpointServiceStub(
+      EndpointServiceStubSettings settings, ClientContext clientContext) throws IOException {
+    this(settings, clientContext, new GrpcEndpointServiceCallableFactory());
+  }
+
+  /**
+   * Constructs an instance of GrpcEndpointServiceStub, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcEndpointServiceStub(
+      EndpointServiceStubSettings settings,
+      ClientContext clientContext,
+      GrpcStubCallableFactory callableFactory)
+      throws IOException {
+    this.callableFactory = callableFactory;
+    this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
+
+    GrpcCallSettings<CreateEndpointRequest, Operation> createEndpointTransportSettings =
+        GrpcCallSettings.<CreateEndpointRequest, Operation>newBuilder()
+            .setMethodDescriptor(createEndpointMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<CreateEndpointRequest>() {
+                  @Override
+                  public Map<String, String> extract(CreateEndpointRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<GetEndpointRequest, Endpoint> getEndpointTransportSettings =
+        GrpcCallSettings.<GetEndpointRequest, Endpoint>newBuilder()
+            .setMethodDescriptor(getEndpointMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<GetEndpointRequest>() {
+                  @Override
+                  public Map<String, String> extract(GetEndpointRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ListEndpointsRequest, ListEndpointsResponse> listEndpointsTransportSettings =
+        GrpcCallSettings.<ListEndpointsRequest, ListEndpointsResponse>newBuilder()
+            .setMethodDescriptor(listEndpointsMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<ListEndpointsRequest>() {
+                  @Override
+                  public Map<String, String> extract(ListEndpointsRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<UpdateEndpointRequest, Endpoint> updateEndpointTransportSettings =
+        GrpcCallSettings.<UpdateEndpointRequest, Endpoint>newBuilder()
+            .setMethodDescriptor(updateEndpointMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<UpdateEndpointRequest>() {
+                  @Override
+                  public Map<String, String> extract(UpdateEndpointRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("endpoint.name", String.valueOf(request.getEndpoint().getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<DeleteEndpointRequest, Operation> deleteEndpointTransportSettings =
+        GrpcCallSettings.<DeleteEndpointRequest, Operation>newBuilder()
+            .setMethodDescriptor(deleteEndpointMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<DeleteEndpointRequest>() {
+                  @Override
+                  public Map<String, String> extract(DeleteEndpointRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<DeployModelRequest, Operation> deployModelTransportSettings =
+        GrpcCallSettings.<DeployModelRequest, Operation>newBuilder()
+            .setMethodDescriptor(deployModelMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<DeployModelRequest>() {
+                  @Override
+                  public Map<String, String> extract(DeployModelRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("endpoint", String.valueOf(request.getEndpoint()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<UndeployModelRequest, Operation> undeployModelTransportSettings =
+        GrpcCallSettings.<UndeployModelRequest, Operation>newBuilder()
+            .setMethodDescriptor(undeployModelMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<UndeployModelRequest>() {
+                  @Override
+                  public Map<String, String> extract(UndeployModelRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("endpoint", String.valueOf(request.getEndpoint()));
+                    return params.build();
+                  }
+                })
+            .build();
+
+    this.createEndpointCallable =
+        callableFactory.createUnaryCallable(
+            createEndpointTransportSettings, settings.createEndpointSettings(), clientContext);
+    this.createEndpointOperationCallable =
+        callableFactory.createOperationCallable(
+            createEndpointTransportSettings,
+            settings.createEndpointOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.getEndpointCallable =
+        callableFactory.createUnaryCallable(
+            getEndpointTransportSettings, settings.getEndpointSettings(), clientContext);
+    this.listEndpointsCallable =
+        callableFactory.createUnaryCallable(
+            listEndpointsTransportSettings, settings.listEndpointsSettings(), clientContext);
+    this.listEndpointsPagedCallable =
+        callableFactory.createPagedCallable(
+            listEndpointsTransportSettings, settings.listEndpointsSettings(), clientContext);
+    this.updateEndpointCallable =
+        callableFactory.createUnaryCallable(
+            updateEndpointTransportSettings, settings.updateEndpointSettings(), clientContext);
+    this.deleteEndpointCallable =
+        callableFactory.createUnaryCallable(
+            deleteEndpointTransportSettings, settings.deleteEndpointSettings(), clientContext);
+    this.deleteEndpointOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteEndpointTransportSettings,
+            settings.deleteEndpointOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.deployModelCallable =
+        callableFactory.createUnaryCallable(
+            deployModelTransportSettings, settings.deployModelSettings(), clientContext);
+    this.deployModelOperationCallable =
+        callableFactory.createOperationCallable(
+            deployModelTransportSettings,
+            settings.deployModelOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.undeployModelCallable =
+        callableFactory.createUnaryCallable(
+            undeployModelTransportSettings, settings.undeployModelSettings(), clientContext);
+    this.undeployModelOperationCallable =
+        callableFactory.createOperationCallable(
+            undeployModelTransportSettings,
+            settings.undeployModelOperationSettings(),
+            clientContext,
+            operationsStub);
+
+    this.backgroundResources =
+        new BackgroundResourceAggregation(clientContext.getBackgroundResources());
+  }
+
+  public GrpcOperationsStub getOperationsStub() {
+    return operationsStub;
+  }
+
+  public UnaryCallable<CreateEndpointRequest, Operation> createEndpointCallable() {
+    return createEndpointCallable;
+  }
+
+  public OperationCallable<CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
+      createEndpointOperationCallable() {
+    return createEndpointOperationCallable;
+  }
+
+  public UnaryCallable<GetEndpointRequest, Endpoint> getEndpointCallable() {
+    return getEndpointCallable;
+  }
+
+  public UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndpointsCallable() {
+    return listEndpointsCallable;
+  }
+
+  public UnaryCallable<ListEndpointsRequest, ListEndpointsPagedResponse>
+      listEndpointsPagedCallable() {
+    return listEndpointsPagedCallable;
+  }
+
+  public UnaryCallable<UpdateEndpointRequest, Endpoint> updateEndpointCallable() {
+    return updateEndpointCallable;
+  }
+
+  public UnaryCallable<DeleteEndpointRequest, Operation> deleteEndpointCallable() {
+    return deleteEndpointCallable;
+  }
+
+  public OperationCallable<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
+      deleteEndpointOperationCallable() {
+    return deleteEndpointOperationCallable;
+  }
+
+  public UnaryCallable<DeployModelRequest, Operation> deployModelCallable() {
+    return deployModelCallable;
+  }
+
+  public OperationCallable<DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
+      deployModelOperationCallable() {
+    return deployModelOperationCallable;
+  }
+
+  public UnaryCallable<UndeployModelRequest, Operation> undeployModelCallable() {
+    return undeployModelCallable;
+  }
+
+  public OperationCallable<
+          UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
+      undeployModelOperationCallable() {
+    return undeployModelOperationCallable;
+  }
+
+  @Override
+  public final void close() {
+    shutdown();
+  }
+
+  @Override
+  public void shutdown() {
+    backgroundResources.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return backgroundResources.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return backgroundResources.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    backgroundResources.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return backgroundResources.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcJobServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcJobServiceCallableFactory.java
new file mode 100644
index 000000000..ec4f19008
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcJobServiceCallableFactory.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcCallableFactory;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.BatchingCallSettings;
+import com.google.api.gax.rpc.BidiStreamingCallable;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientStreamingCallable;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallable;
+import com.google.api.gax.rpc.StreamingCallSettings;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC callable factory implementation for the JobService service API.
+ *
+ * <p>This class is for advanced usage.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcJobServiceCallableFactory implements GrpcStubCallableFactory {
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createUnaryCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      UnaryCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, PagedListResponseT>
+      UnaryCallable<RequestT, PagedListResponseT> createPagedCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          PagedCallSettings<RequestT, ResponseT, PagedListResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createPagedCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createBatchingCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      BatchingCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createBatchingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, MetadataT>
+      OperationCallable<RequestT, ResponseT, MetadataT> createOperationCallable(
+          GrpcCallSettings<RequestT, Operation> grpcCallSettings,
+          OperationCallSettings<RequestT, ResponseT, MetadataT> callSettings,
+          ClientContext clientContext,
+          OperationsStub operationsStub) {
+    return GrpcCallableFactory.createOperationCallable(
+        grpcCallSettings, callSettings, clientContext, operationsStub);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      BidiStreamingCallable<RequestT, ResponseT> createBidiStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createBidiStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ServerStreamingCallable<RequestT, ResponseT> createServerStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          ServerStreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createServerStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ClientStreamingCallable<RequestT, ResponseT> createClientStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createClientStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcJobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcJobServiceStub.java
new file mode 100644
index 000000000..8f5a1b98c
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcJobServiceStub.java
@@ -0,0 +1,980 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListBatchPredictionJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListCustomJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListDataLabelingJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.core.BackgroundResourceAggregation;
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.RequestParamsExtractor;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.BatchPredictionJob;
+import com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.CancelCustomJobRequest;
+import com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.CreateCustomJobRequest;
+import com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.CustomJob;
+import com.google.cloud.aiplatform.v1.DataLabelingJob;
+import com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteCustomJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.GetCustomJobRequest;
+import com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.HyperparameterTuningJob;
+import com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest;
+import com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse;
+import com.google.cloud.aiplatform.v1.ListCustomJobsRequest;
+import com.google.cloud.aiplatform.v1.ListCustomJobsResponse;
+import com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest;
+import com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse;
+import com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest;
+import com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse;
+import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.GrpcOperationsStub;
+import com.google.protobuf.Empty;
+import io.grpc.MethodDescriptor;
+import io.grpc.protobuf.ProtoUtils;
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC stub implementation for the JobService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcJobServiceStub extends JobServiceStub {
+  private static final MethodDescriptor<CreateCustomJobRequest, CustomJob>
+      createCustomJobMethodDescriptor =
+          MethodDescriptor.<CreateCustomJobRequest, CustomJob>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/CreateCustomJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CreateCustomJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(CustomJob.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetCustomJobRequest, CustomJob>
+      getCustomJobMethodDescriptor =
+          MethodDescriptor.<GetCustomJobRequest, CustomJob>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/GetCustomJob")
+              .setRequestMarshaller(ProtoUtils.marshaller(GetCustomJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(CustomJob.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<ListCustomJobsRequest, ListCustomJobsResponse>
+      listCustomJobsMethodDescriptor =
+          MethodDescriptor.<ListCustomJobsRequest, ListCustomJobsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/ListCustomJobs")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListCustomJobsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListCustomJobsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeleteCustomJobRequest, Operation>
+      deleteCustomJobMethodDescriptor =
+          MethodDescriptor.<DeleteCustomJobRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/DeleteCustomJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(DeleteCustomJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<CancelCustomJobRequest, Empty>
+      cancelCustomJobMethodDescriptor =
+          MethodDescriptor.<CancelCustomJobRequest, Empty>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/CancelCustomJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CancelCustomJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Empty.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<CreateDataLabelingJobRequest, DataLabelingJob>
+      createDataLabelingJobMethodDescriptor =
+          MethodDescriptor.<CreateDataLabelingJobRequest, DataLabelingJob>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/CreateDataLabelingJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CreateDataLabelingJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(DataLabelingJob.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetDataLabelingJobRequest, DataLabelingJob>
+      getDataLabelingJobMethodDescriptor =
+          MethodDescriptor.<GetDataLabelingJobRequest, DataLabelingJob>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/GetDataLabelingJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetDataLabelingJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(DataLabelingJob.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>
+      listDataLabelingJobsMethodDescriptor =
+          MethodDescriptor.<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/ListDataLabelingJobs")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListDataLabelingJobsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListDataLabelingJobsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeleteDataLabelingJobRequest, Operation>
+      deleteDataLabelingJobMethodDescriptor =
+          MethodDescriptor.<DeleteDataLabelingJobRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/DeleteDataLabelingJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(DeleteDataLabelingJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<CancelDataLabelingJobRequest, Empty>
+      cancelDataLabelingJobMethodDescriptor =
+          MethodDescriptor.<CancelDataLabelingJobRequest, Empty>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/CancelDataLabelingJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CancelDataLabelingJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Empty.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<
+          CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      createHyperparameterTuningJobMethodDescriptor =
+          MethodDescriptor
+              .<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.JobService/CreateHyperparameterTuningJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CreateHyperparameterTuningJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(HyperparameterTuningJob.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      getHyperparameterTuningJobMethodDescriptor =
+          MethodDescriptor.<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/GetHyperparameterTuningJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetHyperparameterTuningJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(HyperparameterTuningJob.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<
+          ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+      listHyperparameterTuningJobsMethodDescriptor =
+          MethodDescriptor
+              .<ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+                  newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.JobService/ListHyperparameterTuningJobs")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListHyperparameterTuningJobsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListHyperparameterTuningJobsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeleteHyperparameterTuningJobRequest, Operation>
+      deleteHyperparameterTuningJobMethodDescriptor =
+          MethodDescriptor.<DeleteHyperparameterTuningJobRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.JobService/DeleteHyperparameterTuningJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(DeleteHyperparameterTuningJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<CancelHyperparameterTuningJobRequest, Empty>
+      cancelHyperparameterTuningJobMethodDescriptor =
+          MethodDescriptor.<CancelHyperparameterTuningJobRequest, Empty>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.JobService/CancelHyperparameterTuningJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CancelHyperparameterTuningJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Empty.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<CreateBatchPredictionJobRequest, BatchPredictionJob>
+      createBatchPredictionJobMethodDescriptor =
+          MethodDescriptor.<CreateBatchPredictionJobRequest, BatchPredictionJob>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/CreateBatchPredictionJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CreateBatchPredictionJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(BatchPredictionJob.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetBatchPredictionJobRequest, BatchPredictionJob>
+      getBatchPredictionJobMethodDescriptor =
+          MethodDescriptor.<GetBatchPredictionJobRequest, BatchPredictionJob>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/GetBatchPredictionJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetBatchPredictionJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(BatchPredictionJob.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<
+          ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
+      listBatchPredictionJobsMethodDescriptor =
+          MethodDescriptor
+              .<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/ListBatchPredictionJobs")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListBatchPredictionJobsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListBatchPredictionJobsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeleteBatchPredictionJobRequest, Operation>
+      deleteBatchPredictionJobMethodDescriptor =
+          MethodDescriptor.<DeleteBatchPredictionJobRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/DeleteBatchPredictionJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(DeleteBatchPredictionJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<CancelBatchPredictionJobRequest, Empty>
+      cancelBatchPredictionJobMethodDescriptor =
+          MethodDescriptor.<CancelBatchPredictionJobRequest, Empty>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.JobService/CancelBatchPredictionJob")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CancelBatchPredictionJobRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Empty.getDefaultInstance()))
+              .build();
+
+  private final UnaryCallable<CreateCustomJobRequest, CustomJob> createCustomJobCallable;
+  private final UnaryCallable<GetCustomJobRequest, CustomJob> getCustomJobCallable;
+  private final UnaryCallable<ListCustomJobsRequest, ListCustomJobsResponse> listCustomJobsCallable;
+  private final UnaryCallable<ListCustomJobsRequest, ListCustomJobsPagedResponse>
+      listCustomJobsPagedCallable;
+  private final UnaryCallable<DeleteCustomJobRequest, Operation> deleteCustomJobCallable;
+  private final OperationCallable<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+      deleteCustomJobOperationCallable;
+  private final UnaryCallable<CancelCustomJobRequest, Empty> cancelCustomJobCallable;
+  private final UnaryCallable<CreateDataLabelingJobRequest, DataLabelingJob>
+      createDataLabelingJobCallable;
+  private final UnaryCallable<GetDataLabelingJobRequest, DataLabelingJob>
+      getDataLabelingJobCallable;
+  private final UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>
+      listDataLabelingJobsCallable;
+  private final UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsPagedResponse>
+      listDataLabelingJobsPagedCallable;
+  private final UnaryCallable<DeleteDataLabelingJobRequest, Operation>
+      deleteDataLabelingJobCallable;
+  private final OperationCallable<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+      deleteDataLabelingJobOperationCallable;
+  private final UnaryCallable<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobCallable;
+  private final UnaryCallable<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      createHyperparameterTuningJobCallable;
+  private final UnaryCallable<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      getHyperparameterTuningJobCallable;
+  private final UnaryCallable<
+          ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+      listHyperparameterTuningJobsCallable;
+  private final UnaryCallable<
+          ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsPagedResponse>
+      listHyperparameterTuningJobsPagedCallable;
+  private final UnaryCallable<DeleteHyperparameterTuningJobRequest, Operation>
+      deleteHyperparameterTuningJobCallable;
+  private final OperationCallable<
+          DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+      deleteHyperparameterTuningJobOperationCallable;
+  private final UnaryCallable<CancelHyperparameterTuningJobRequest, Empty>
+      cancelHyperparameterTuningJobCallable;
+  private final UnaryCallable<CreateBatchPredictionJobRequest, BatchPredictionJob>
+      createBatchPredictionJobCallable;
+  private final UnaryCallable<GetBatchPredictionJobRequest, BatchPredictionJob>
+      getBatchPredictionJobCallable;
+  private final UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
+      listBatchPredictionJobsCallable;
+  private final UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsPagedResponse>
+      listBatchPredictionJobsPagedCallable;
+  private final UnaryCallable<DeleteBatchPredictionJobRequest, Operation>
+      deleteBatchPredictionJobCallable;
+  private final OperationCallable<DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+      deleteBatchPredictionJobOperationCallable;
+  private final UnaryCallable<CancelBatchPredictionJobRequest, Empty>
+      cancelBatchPredictionJobCallable;
+
+  private final BackgroundResource backgroundResources;
+  private final GrpcOperationsStub operationsStub;
+  private final GrpcStubCallableFactory callableFactory;
+
+  public static final GrpcJobServiceStub create(JobServiceStubSettings settings)
+      throws IOException {
+    return new GrpcJobServiceStub(settings, ClientContext.create(settings));
+  }
+
+  public static final GrpcJobServiceStub create(ClientContext clientContext) throws IOException {
+    return new GrpcJobServiceStub(JobServiceStubSettings.newBuilder().build(), clientContext);
+  }
+
+  public static final GrpcJobServiceStub create(
+      ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
+    return new GrpcJobServiceStub(
+        JobServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
+  }
+
+  /**
+   * Constructs an instance of GrpcJobServiceStub, using the given settings. This is protected so
+   * that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcJobServiceStub(JobServiceStubSettings settings, ClientContext clientContext)
+      throws IOException {
+    this(settings, clientContext, new GrpcJobServiceCallableFactory());
+  }
+
+  /**
+   * Constructs an instance of GrpcJobServiceStub, using the given settings. This is protected so
+   * that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcJobServiceStub(
+      JobServiceStubSettings settings,
+      ClientContext clientContext,
+      GrpcStubCallableFactory callableFactory)
+      throws IOException {
+    this.callableFactory = callableFactory;
+    this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
+
+    GrpcCallSettings<CreateCustomJobRequest, CustomJob> createCustomJobTransportSettings =
+        GrpcCallSettings.<CreateCustomJobRequest, CustomJob>newBuilder()
+            .setMethodDescriptor(createCustomJobMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<CreateCustomJobRequest>() {
+                  @Override
+                  public Map<String, String> extract(CreateCustomJobRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<GetCustomJobRequest, CustomJob> getCustomJobTransportSettings =
+        GrpcCallSettings.<GetCustomJobRequest, CustomJob>newBuilder()
+            .setMethodDescriptor(getCustomJobMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<GetCustomJobRequest>() {
+                  @Override
+                  public Map<String, String> extract(GetCustomJobRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ListCustomJobsRequest, ListCustomJobsResponse>
+        listCustomJobsTransportSettings =
+            GrpcCallSettings.<ListCustomJobsRequest, ListCustomJobsResponse>newBuilder()
+                .setMethodDescriptor(listCustomJobsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListCustomJobsRequest>() {
+                      @Override
+                      public Map<String, String> extract(ListCustomJobsRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<DeleteCustomJobRequest, Operation> deleteCustomJobTransportSettings =
+        GrpcCallSettings.<DeleteCustomJobRequest, Operation>newBuilder()
+            .setMethodDescriptor(deleteCustomJobMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<DeleteCustomJobRequest>() {
+                  @Override
+                  public Map<String, String> extract(DeleteCustomJobRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<CancelCustomJobRequest, Empty> cancelCustomJobTransportSettings =
+        GrpcCallSettings.<CancelCustomJobRequest, Empty>newBuilder()
+            .setMethodDescriptor(cancelCustomJobMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<CancelCustomJobRequest>() {
+                  @Override
+                  public Map<String, String> extract(CancelCustomJobRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<CreateDataLabelingJobRequest, DataLabelingJob>
+        createDataLabelingJobTransportSettings =
+            GrpcCallSettings.<CreateDataLabelingJobRequest, DataLabelingJob>newBuilder()
+                .setMethodDescriptor(createDataLabelingJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<CreateDataLabelingJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(CreateDataLabelingJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<GetDataLabelingJobRequest, DataLabelingJob>
+        getDataLabelingJobTransportSettings =
+            GrpcCallSettings.<GetDataLabelingJobRequest, DataLabelingJob>newBuilder()
+                .setMethodDescriptor(getDataLabelingJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<GetDataLabelingJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(GetDataLabelingJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>
+        listDataLabelingJobsTransportSettings =
+            GrpcCallSettings.<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>newBuilder()
+                .setMethodDescriptor(listDataLabelingJobsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListDataLabelingJobsRequest>() {
+                      @Override
+                      public Map<String, String> extract(ListDataLabelingJobsRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<DeleteDataLabelingJobRequest, Operation>
+        deleteDataLabelingJobTransportSettings =
+            GrpcCallSettings.<DeleteDataLabelingJobRequest, Operation>newBuilder()
+                .setMethodDescriptor(deleteDataLabelingJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<DeleteDataLabelingJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(DeleteDataLabelingJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobTransportSettings =
+        GrpcCallSettings.<CancelDataLabelingJobRequest, Empty>newBuilder()
+            .setMethodDescriptor(cancelDataLabelingJobMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<CancelDataLabelingJobRequest>() {
+                  @Override
+                  public Map<String, String> extract(CancelDataLabelingJobRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+        createHyperparameterTuningJobTransportSettings =
+            GrpcCallSettings
+                .<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>newBuilder()
+                .setMethodDescriptor(createHyperparameterTuningJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<CreateHyperparameterTuningJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(
+                          CreateHyperparameterTuningJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+        getHyperparameterTuningJobTransportSettings =
+            GrpcCallSettings
+                .<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>newBuilder()
+                .setMethodDescriptor(getHyperparameterTuningJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<GetHyperparameterTuningJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(
+                          GetHyperparameterTuningJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+        listHyperparameterTuningJobsTransportSettings =
+            GrpcCallSettings
+                .<ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+                    newBuilder()
+                .setMethodDescriptor(listHyperparameterTuningJobsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListHyperparameterTuningJobsRequest>() {
+                      @Override
+                      public Map<String, String> extract(
+                          ListHyperparameterTuningJobsRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<DeleteHyperparameterTuningJobRequest, Operation>
+        deleteHyperparameterTuningJobTransportSettings =
+            GrpcCallSettings.<DeleteHyperparameterTuningJobRequest, Operation>newBuilder()
+                .setMethodDescriptor(deleteHyperparameterTuningJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<DeleteHyperparameterTuningJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(
+                          DeleteHyperparameterTuningJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<CancelHyperparameterTuningJobRequest, Empty>
+        cancelHyperparameterTuningJobTransportSettings =
+            GrpcCallSettings.<CancelHyperparameterTuningJobRequest, Empty>newBuilder()
+                .setMethodDescriptor(cancelHyperparameterTuningJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<CancelHyperparameterTuningJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(
+                          CancelHyperparameterTuningJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<CreateBatchPredictionJobRequest, BatchPredictionJob>
+        createBatchPredictionJobTransportSettings =
+            GrpcCallSettings.<CreateBatchPredictionJobRequest, BatchPredictionJob>newBuilder()
+                .setMethodDescriptor(createBatchPredictionJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<CreateBatchPredictionJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(CreateBatchPredictionJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<GetBatchPredictionJobRequest, BatchPredictionJob>
+        getBatchPredictionJobTransportSettings =
+            GrpcCallSettings.<GetBatchPredictionJobRequest, BatchPredictionJob>newBuilder()
+                .setMethodDescriptor(getBatchPredictionJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<GetBatchPredictionJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(GetBatchPredictionJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
+        listBatchPredictionJobsTransportSettings =
+            GrpcCallSettings
+                .<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>newBuilder()
+                .setMethodDescriptor(listBatchPredictionJobsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListBatchPredictionJobsRequest>() {
+                      @Override
+                      public Map<String, String> extract(ListBatchPredictionJobsRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<DeleteBatchPredictionJobRequest, Operation>
+        deleteBatchPredictionJobTransportSettings =
+            GrpcCallSettings.<DeleteBatchPredictionJobRequest, Operation>newBuilder()
+                .setMethodDescriptor(deleteBatchPredictionJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<DeleteBatchPredictionJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(DeleteBatchPredictionJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<CancelBatchPredictionJobRequest, Empty>
+        cancelBatchPredictionJobTransportSettings =
+            GrpcCallSettings.<CancelBatchPredictionJobRequest, Empty>newBuilder()
+                .setMethodDescriptor(cancelBatchPredictionJobMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<CancelBatchPredictionJobRequest>() {
+                      @Override
+                      public Map<String, String> extract(CancelBatchPredictionJobRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+
+    this.createCustomJobCallable =
+        callableFactory.createUnaryCallable(
+            createCustomJobTransportSettings, settings.createCustomJobSettings(), clientContext);
+    this.getCustomJobCallable =
+        callableFactory.createUnaryCallable(
+            getCustomJobTransportSettings, settings.getCustomJobSettings(), clientContext);
+    this.listCustomJobsCallable =
+        callableFactory.createUnaryCallable(
+            listCustomJobsTransportSettings, settings.listCustomJobsSettings(), clientContext);
+    this.listCustomJobsPagedCallable =
+        callableFactory.createPagedCallable(
+            listCustomJobsTransportSettings, settings.listCustomJobsSettings(), clientContext);
+    this.deleteCustomJobCallable =
+        callableFactory.createUnaryCallable(
+            deleteCustomJobTransportSettings, settings.deleteCustomJobSettings(), clientContext);
+    this.deleteCustomJobOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteCustomJobTransportSettings,
+            settings.deleteCustomJobOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.cancelCustomJobCallable =
+        callableFactory.createUnaryCallable(
+            cancelCustomJobTransportSettings, settings.cancelCustomJobSettings(), clientContext);
+    this.createDataLabelingJobCallable =
+        callableFactory.createUnaryCallable(
+            createDataLabelingJobTransportSettings,
+            settings.createDataLabelingJobSettings(),
+            clientContext);
+    this.getDataLabelingJobCallable =
+        callableFactory.createUnaryCallable(
+            getDataLabelingJobTransportSettings,
+            settings.getDataLabelingJobSettings(),
+            clientContext);
+    this.listDataLabelingJobsCallable =
+        callableFactory.createUnaryCallable(
+            listDataLabelingJobsTransportSettings,
+            settings.listDataLabelingJobsSettings(),
+            clientContext);
+    this.listDataLabelingJobsPagedCallable =
+        callableFactory.createPagedCallable(
+            listDataLabelingJobsTransportSettings,
+            settings.listDataLabelingJobsSettings(),
+            clientContext);
+    this.deleteDataLabelingJobCallable =
+        callableFactory.createUnaryCallable(
+            deleteDataLabelingJobTransportSettings,
+            settings.deleteDataLabelingJobSettings(),
+            clientContext);
+    this.deleteDataLabelingJobOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteDataLabelingJobTransportSettings,
+            settings.deleteDataLabelingJobOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.cancelDataLabelingJobCallable =
+        callableFactory.createUnaryCallable(
+            cancelDataLabelingJobTransportSettings,
+            settings.cancelDataLabelingJobSettings(),
+            clientContext);
+    this.createHyperparameterTuningJobCallable =
+        callableFactory.createUnaryCallable(
+            createHyperparameterTuningJobTransportSettings,
+            settings.createHyperparameterTuningJobSettings(),
+            clientContext);
+    this.getHyperparameterTuningJobCallable =
+        callableFactory.createUnaryCallable(
+            getHyperparameterTuningJobTransportSettings,
+            settings.getHyperparameterTuningJobSettings(),
+            clientContext);
+    this.listHyperparameterTuningJobsCallable =
+        callableFactory.createUnaryCallable(
+            listHyperparameterTuningJobsTransportSettings,
+            settings.listHyperparameterTuningJobsSettings(),
+            clientContext);
+    this.listHyperparameterTuningJobsPagedCallable =
+        callableFactory.createPagedCallable(
+            listHyperparameterTuningJobsTransportSettings,
+            settings.listHyperparameterTuningJobsSettings(),
+            clientContext);
+    this.deleteHyperparameterTuningJobCallable =
+        callableFactory.createUnaryCallable(
+            deleteHyperparameterTuningJobTransportSettings,
+            settings.deleteHyperparameterTuningJobSettings(),
+            clientContext);
+    this.deleteHyperparameterTuningJobOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteHyperparameterTuningJobTransportSettings,
+            settings.deleteHyperparameterTuningJobOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.cancelHyperparameterTuningJobCallable =
+        callableFactory.createUnaryCallable(
+            cancelHyperparameterTuningJobTransportSettings,
+            settings.cancelHyperparameterTuningJobSettings(),
+            clientContext);
+    this.createBatchPredictionJobCallable =
+        callableFactory.createUnaryCallable(
+            createBatchPredictionJobTransportSettings,
+            settings.createBatchPredictionJobSettings(),
+            clientContext);
+    this.getBatchPredictionJobCallable =
+        callableFactory.createUnaryCallable(
+            getBatchPredictionJobTransportSettings,
+            settings.getBatchPredictionJobSettings(),
+            clientContext);
+    this.listBatchPredictionJobsCallable =
+        callableFactory.createUnaryCallable(
+            listBatchPredictionJobsTransportSettings,
+            settings.listBatchPredictionJobsSettings(),
+            clientContext);
+    this.listBatchPredictionJobsPagedCallable =
+        callableFactory.createPagedCallable(
+            listBatchPredictionJobsTransportSettings,
+            settings.listBatchPredictionJobsSettings(),
+            clientContext);
+    this.deleteBatchPredictionJobCallable =
+        callableFactory.createUnaryCallable(
+            deleteBatchPredictionJobTransportSettings,
+            settings.deleteBatchPredictionJobSettings(),
+            clientContext);
+    this.deleteBatchPredictionJobOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteBatchPredictionJobTransportSettings,
+            settings.deleteBatchPredictionJobOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.cancelBatchPredictionJobCallable =
+        callableFactory.createUnaryCallable(
+            cancelBatchPredictionJobTransportSettings,
+            settings.cancelBatchPredictionJobSettings(),
+            clientContext);
+
+    this.backgroundResources =
+        new BackgroundResourceAggregation(clientContext.getBackgroundResources());
+  }
+
+  public GrpcOperationsStub getOperationsStub() {
+    return operationsStub;
+  }
+
+  public UnaryCallable<CreateCustomJobRequest, CustomJob> createCustomJobCallable() {
+    return createCustomJobCallable;
+  }
+
+  public UnaryCallable<GetCustomJobRequest, CustomJob> getCustomJobCallable() {
+    return getCustomJobCallable;
+  }
+
+  public UnaryCallable<ListCustomJobsRequest, ListCustomJobsResponse> listCustomJobsCallable() {
+    return listCustomJobsCallable;
+  }
+
+  public UnaryCallable<ListCustomJobsRequest, ListCustomJobsPagedResponse>
+      listCustomJobsPagedCallable() {
+    return listCustomJobsPagedCallable;
+  }
+
+  public UnaryCallable<DeleteCustomJobRequest, Operation> deleteCustomJobCallable() {
+    return deleteCustomJobCallable;
+  }
+
+  public OperationCallable<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+      deleteCustomJobOperationCallable() {
+    return deleteCustomJobOperationCallable;
+  }
+
+  public UnaryCallable<CancelCustomJobRequest, Empty> cancelCustomJobCallable() {
+    return cancelCustomJobCallable;
+  }
+
+  public UnaryCallable<CreateDataLabelingJobRequest, DataLabelingJob>
+      createDataLabelingJobCallable() {
+    return createDataLabelingJobCallable;
+  }
+
+  public UnaryCallable<GetDataLabelingJobRequest, DataLabelingJob> getDataLabelingJobCallable() {
+    return getDataLabelingJobCallable;
+  }
+
+  public UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>
+      listDataLabelingJobsCallable() {
+    return listDataLabelingJobsCallable;
+  }
+
+  public UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsPagedResponse>
+      listDataLabelingJobsPagedCallable() {
+    return listDataLabelingJobsPagedCallable;
+  }
+
+  public UnaryCallable<DeleteDataLabelingJobRequest, Operation> deleteDataLabelingJobCallable() {
+    return deleteDataLabelingJobCallable;
+  }
+
+  public OperationCallable<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+      deleteDataLabelingJobOperationCallable() {
+    return deleteDataLabelingJobOperationCallable;
+  }
+
+  public UnaryCallable<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobCallable() {
+    return cancelDataLabelingJobCallable;
+  }
+
+  public UnaryCallable<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      createHyperparameterTuningJobCallable() {
+    return createHyperparameterTuningJobCallable;
+  }
+
+  public UnaryCallable<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      getHyperparameterTuningJobCallable() {
+    return getHyperparameterTuningJobCallable;
+  }
+
+  public UnaryCallable<ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+      listHyperparameterTuningJobsCallable() {
+    return listHyperparameterTuningJobsCallable;
+  }
+
+  public UnaryCallable<
+          ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsPagedResponse>
+      listHyperparameterTuningJobsPagedCallable() {
+    return listHyperparameterTuningJobsPagedCallable;
+  }
+
+  public UnaryCallable<DeleteHyperparameterTuningJobRequest, Operation>
+      deleteHyperparameterTuningJobCallable() {
+    return deleteHyperparameterTuningJobCallable;
+  }
+
+  public OperationCallable<DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+      deleteHyperparameterTuningJobOperationCallable() {
+    return deleteHyperparameterTuningJobOperationCallable;
+  }
+
+  public UnaryCallable<CancelHyperparameterTuningJobRequest, Empty>
+      cancelHyperparameterTuningJobCallable() {
+    return cancelHyperparameterTuningJobCallable;
+  }
+
+  public UnaryCallable<CreateBatchPredictionJobRequest, BatchPredictionJob>
+      createBatchPredictionJobCallable() {
+    return createBatchPredictionJobCallable;
+  }
+
+  public UnaryCallable<GetBatchPredictionJobRequest, BatchPredictionJob>
+      getBatchPredictionJobCallable() {
+    return getBatchPredictionJobCallable;
+  }
+
+  public UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
+      listBatchPredictionJobsCallable() {
+    return listBatchPredictionJobsCallable;
+  }
+
+  public UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsPagedResponse>
+      listBatchPredictionJobsPagedCallable() {
+    return listBatchPredictionJobsPagedCallable;
+  }
+
+  public UnaryCallable<DeleteBatchPredictionJobRequest, Operation>
+      deleteBatchPredictionJobCallable() {
+    return deleteBatchPredictionJobCallable;
+  }
+
+  public OperationCallable<DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+      deleteBatchPredictionJobOperationCallable() {
+    return deleteBatchPredictionJobOperationCallable;
+  }
+
+  public UnaryCallable<CancelBatchPredictionJobRequest, Empty> cancelBatchPredictionJobCallable() {
+    return cancelBatchPredictionJobCallable;
+  }
+
+  @Override
+  public final void close() {
+    shutdown();
+  }
+
+  @Override
+  public void shutdown() {
+    backgroundResources.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return backgroundResources.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return backgroundResources.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    backgroundResources.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return backgroundResources.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcMigrationServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcMigrationServiceCallableFactory.java
new file mode 100644
index 000000000..3f4f18f4d
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcMigrationServiceCallableFactory.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcCallableFactory;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.BatchingCallSettings;
+import com.google.api.gax.rpc.BidiStreamingCallable;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientStreamingCallable;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallable;
+import com.google.api.gax.rpc.StreamingCallSettings;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC callable factory implementation for the MigrationService service API.
+ *
+ * <p>This class is for advanced usage.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcMigrationServiceCallableFactory implements GrpcStubCallableFactory {
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createUnaryCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      UnaryCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, PagedListResponseT>
+      UnaryCallable<RequestT, PagedListResponseT> createPagedCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          PagedCallSettings<RequestT, ResponseT, PagedListResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createPagedCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createBatchingCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      BatchingCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createBatchingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, MetadataT>
+      OperationCallable<RequestT, ResponseT, MetadataT> createOperationCallable(
+          GrpcCallSettings<RequestT, Operation> grpcCallSettings,
+          OperationCallSettings<RequestT, ResponseT, MetadataT> callSettings,
+          ClientContext clientContext,
+          OperationsStub operationsStub) {
+    return GrpcCallableFactory.createOperationCallable(
+        grpcCallSettings, callSettings, clientContext, operationsStub);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      BidiStreamingCallable<RequestT, ResponseT> createBidiStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createBidiStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ServerStreamingCallable<RequestT, ResponseT> createServerStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          ServerStreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createServerStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ClientStreamingCallable<RequestT, ResponseT> createClientStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createClientStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcMigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcMigrationServiceStub.java
new file mode 100644
index 000000000..16ebb249e
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcMigrationServiceStub.java
@@ -0,0 +1,245 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.core.BackgroundResourceAggregation;
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.RequestParamsExtractor;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse;
+import com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest;
+import com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse;
+import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.GrpcOperationsStub;
+import io.grpc.MethodDescriptor;
+import io.grpc.protobuf.ProtoUtils;
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC stub implementation for the MigrationService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcMigrationServiceStub extends MigrationServiceStub {
+  private static final MethodDescriptor<
+          SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
+      searchMigratableResourcesMethodDescriptor =
+          MethodDescriptor
+              .<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.MigrationService/SearchMigratableResources")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(SearchMigratableResourcesRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(SearchMigratableResourcesResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<BatchMigrateResourcesRequest, Operation>
+      batchMigrateResourcesMethodDescriptor =
+          MethodDescriptor.<BatchMigrateResourcesRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.MigrationService/BatchMigrateResources")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(BatchMigrateResourcesRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private final UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
+      searchMigratableResourcesCallable;
+  private final UnaryCallable<
+          SearchMigratableResourcesRequest, SearchMigratableResourcesPagedResponse>
+      searchMigratableResourcesPagedCallable;
+  private final UnaryCallable<BatchMigrateResourcesRequest, Operation>
+      batchMigrateResourcesCallable;
+  private final OperationCallable<
+          BatchMigrateResourcesRequest,
+          BatchMigrateResourcesResponse,
+          BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesOperationCallable;
+
+  private final BackgroundResource backgroundResources;
+  private final GrpcOperationsStub operationsStub;
+  private final GrpcStubCallableFactory callableFactory;
+
+  public static final GrpcMigrationServiceStub create(MigrationServiceStubSettings settings)
+      throws IOException {
+    return new GrpcMigrationServiceStub(settings, ClientContext.create(settings));
+  }
+
+  public static final GrpcMigrationServiceStub create(ClientContext clientContext)
+      throws IOException {
+    return new GrpcMigrationServiceStub(
+        MigrationServiceStubSettings.newBuilder().build(), clientContext);
+  }
+
+  public static final GrpcMigrationServiceStub create(
+      ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
+    return new GrpcMigrationServiceStub(
+        MigrationServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
+  }
+
+  /**
+   * Constructs an instance of GrpcMigrationServiceStub, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcMigrationServiceStub(
+      MigrationServiceStubSettings settings, ClientContext clientContext) throws IOException {
+    this(settings, clientContext, new GrpcMigrationServiceCallableFactory());
+  }
+
+  /**
+   * Constructs an instance of GrpcMigrationServiceStub, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcMigrationServiceStub(
+      MigrationServiceStubSettings settings,
+      ClientContext clientContext,
+      GrpcStubCallableFactory callableFactory)
+      throws IOException {
+    this.callableFactory = callableFactory;
+    this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
+
+    GrpcCallSettings<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
+        searchMigratableResourcesTransportSettings =
+            GrpcCallSettings
+                .<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>newBuilder()
+                .setMethodDescriptor(searchMigratableResourcesMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<SearchMigratableResourcesRequest>() {
+                      @Override
+                      public Map<String, String> extract(SearchMigratableResourcesRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<BatchMigrateResourcesRequest, Operation>
+        batchMigrateResourcesTransportSettings =
+            GrpcCallSettings.<BatchMigrateResourcesRequest, Operation>newBuilder()
+                .setMethodDescriptor(batchMigrateResourcesMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<BatchMigrateResourcesRequest>() {
+                      @Override
+                      public Map<String, String> extract(BatchMigrateResourcesRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+
+    this.searchMigratableResourcesCallable =
+        callableFactory.createUnaryCallable(
+            searchMigratableResourcesTransportSettings,
+            settings.searchMigratableResourcesSettings(),
+            clientContext);
+    this.searchMigratableResourcesPagedCallable =
+        callableFactory.createPagedCallable(
+            searchMigratableResourcesTransportSettings,
+            settings.searchMigratableResourcesSettings(),
+            clientContext);
+    this.batchMigrateResourcesCallable =
+        callableFactory.createUnaryCallable(
+            batchMigrateResourcesTransportSettings,
+            settings.batchMigrateResourcesSettings(),
+            clientContext);
+    this.batchMigrateResourcesOperationCallable =
+        callableFactory.createOperationCallable(
+            batchMigrateResourcesTransportSettings,
+            settings.batchMigrateResourcesOperationSettings(),
+            clientContext,
+            operationsStub);
+
+    this.backgroundResources =
+        new BackgroundResourceAggregation(clientContext.getBackgroundResources());
+  }
+
+  public GrpcOperationsStub getOperationsStub() {
+    return operationsStub;
+  }
+
+  public UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
+      searchMigratableResourcesCallable() {
+    return searchMigratableResourcesCallable;
+  }
+
+  public UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesPagedResponse>
+      searchMigratableResourcesPagedCallable() {
+    return searchMigratableResourcesPagedCallable;
+  }
+
+  public UnaryCallable<BatchMigrateResourcesRequest, Operation> batchMigrateResourcesCallable() {
+    return batchMigrateResourcesCallable;
+  }
+
+  public OperationCallable<
+          BatchMigrateResourcesRequest,
+          BatchMigrateResourcesResponse,
+          BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesOperationCallable() {
+    return batchMigrateResourcesOperationCallable;
+  }
+
+  @Override
+  public final void close() {
+    shutdown();
+  }
+
+  @Override
+  public void shutdown() {
+    backgroundResources.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return backgroundResources.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return backgroundResources.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    backgroundResources.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return backgroundResources.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcModelServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcModelServiceCallableFactory.java
new file mode 100644
index 000000000..854c51d31
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcModelServiceCallableFactory.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcCallableFactory;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.BatchingCallSettings;
+import com.google.api.gax.rpc.BidiStreamingCallable;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientStreamingCallable;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallable;
+import com.google.api.gax.rpc.StreamingCallSettings;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC callable factory implementation for the ModelService service API.
+ *
+ * <p>This class is for advanced usage.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcModelServiceCallableFactory implements GrpcStubCallableFactory {
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createUnaryCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      UnaryCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, PagedListResponseT>
+      UnaryCallable<RequestT, PagedListResponseT> createPagedCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          PagedCallSettings<RequestT, ResponseT, PagedListResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createPagedCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createBatchingCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      BatchingCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createBatchingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, MetadataT>
+      OperationCallable<RequestT, ResponseT, MetadataT> createOperationCallable(
+          GrpcCallSettings<RequestT, Operation> grpcCallSettings,
+          OperationCallSettings<RequestT, ResponseT, MetadataT> callSettings,
+          ClientContext clientContext,
+          OperationsStub operationsStub) {
+    return GrpcCallableFactory.createOperationCallable(
+        grpcCallSettings, callSettings, clientContext, operationsStub);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      BidiStreamingCallable<RequestT, ResponseT> createBidiStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createBidiStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ServerStreamingCallable<RequestT, ResponseT> createServerStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          ServerStreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createServerStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ClientStreamingCallable<RequestT, ResponseT> createClientStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createClientStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcModelServiceStub.java
new file mode 100644
index 000000000..df0595958
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcModelServiceStub.java
@@ -0,0 +1,552 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationSlicesPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.core.BackgroundResourceAggregation;
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.RequestParamsExtractor;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.DeleteModelRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportModelRequest;
+import com.google.cloud.aiplatform.v1.ExportModelResponse;
+import com.google.cloud.aiplatform.v1.GetModelEvaluationRequest;
+import com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest;
+import com.google.cloud.aiplatform.v1.GetModelRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse;
+import com.google.cloud.aiplatform.v1.ListModelsRequest;
+import com.google.cloud.aiplatform.v1.ListModelsResponse;
+import com.google.cloud.aiplatform.v1.Model;
+import com.google.cloud.aiplatform.v1.ModelEvaluation;
+import com.google.cloud.aiplatform.v1.ModelEvaluationSlice;
+import com.google.cloud.aiplatform.v1.UpdateModelRequest;
+import com.google.cloud.aiplatform.v1.UploadModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.UploadModelRequest;
+import com.google.cloud.aiplatform.v1.UploadModelResponse;
+import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.GrpcOperationsStub;
+import com.google.protobuf.Empty;
+import io.grpc.MethodDescriptor;
+import io.grpc.protobuf.ProtoUtils;
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC stub implementation for the ModelService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcModelServiceStub extends ModelServiceStub {
+  private static final MethodDescriptor<UploadModelRequest, Operation> uploadModelMethodDescriptor =
+      MethodDescriptor.<UploadModelRequest, Operation>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.ModelService/UploadModel")
+          .setRequestMarshaller(ProtoUtils.marshaller(UploadModelRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<GetModelRequest, Model> getModelMethodDescriptor =
+      MethodDescriptor.<GetModelRequest, Model>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.ModelService/GetModel")
+          .setRequestMarshaller(ProtoUtils.marshaller(GetModelRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Model.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<ListModelsRequest, ListModelsResponse>
+      listModelsMethodDescriptor =
+          MethodDescriptor.<ListModelsRequest, ListModelsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.ModelService/ListModels")
+              .setRequestMarshaller(ProtoUtils.marshaller(ListModelsRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(ListModelsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<UpdateModelRequest, Model> updateModelMethodDescriptor =
+      MethodDescriptor.<UpdateModelRequest, Model>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.ModelService/UpdateModel")
+          .setRequestMarshaller(ProtoUtils.marshaller(UpdateModelRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Model.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<DeleteModelRequest, Operation> deleteModelMethodDescriptor =
+      MethodDescriptor.<DeleteModelRequest, Operation>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.ModelService/DeleteModel")
+          .setRequestMarshaller(ProtoUtils.marshaller(DeleteModelRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<ExportModelRequest, Operation> exportModelMethodDescriptor =
+      MethodDescriptor.<ExportModelRequest, Operation>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.ModelService/ExportModel")
+          .setRequestMarshaller(ProtoUtils.marshaller(ExportModelRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+          .build();
+
+  private static final MethodDescriptor<GetModelEvaluationRequest, ModelEvaluation>
+      getModelEvaluationMethodDescriptor =
+          MethodDescriptor.<GetModelEvaluationRequest, ModelEvaluation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.ModelService/GetModelEvaluation")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetModelEvaluationRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(ModelEvaluation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<ListModelEvaluationsRequest, ListModelEvaluationsResponse>
+      listModelEvaluationsMethodDescriptor =
+          MethodDescriptor.<ListModelEvaluationsRequest, ListModelEvaluationsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.ModelService/ListModelEvaluations")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListModelEvaluationsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListModelEvaluationsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+      getModelEvaluationSliceMethodDescriptor =
+          MethodDescriptor.<GetModelEvaluationSliceRequest, ModelEvaluationSlice>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.ModelService/GetModelEvaluationSlice")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetModelEvaluationSliceRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ModelEvaluationSlice.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<
+          ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
+      listModelEvaluationSlicesMethodDescriptor =
+          MethodDescriptor
+              .<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.ModelService/ListModelEvaluationSlices")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListModelEvaluationSlicesRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListModelEvaluationSlicesResponse.getDefaultInstance()))
+              .build();
+
+  private final UnaryCallable<UploadModelRequest, Operation> uploadModelCallable;
+  private final OperationCallable<
+          UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+      uploadModelOperationCallable;
+  private final UnaryCallable<GetModelRequest, Model> getModelCallable;
+  private final UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCallable;
+  private final UnaryCallable<ListModelsRequest, ListModelsPagedResponse> listModelsPagedCallable;
+  private final UnaryCallable<UpdateModelRequest, Model> updateModelCallable;
+  private final UnaryCallable<DeleteModelRequest, Operation> deleteModelCallable;
+  private final OperationCallable<DeleteModelRequest, Empty, DeleteOperationMetadata>
+      deleteModelOperationCallable;
+  private final UnaryCallable<ExportModelRequest, Operation> exportModelCallable;
+  private final OperationCallable<
+          ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+      exportModelOperationCallable;
+  private final UnaryCallable<GetModelEvaluationRequest, ModelEvaluation>
+      getModelEvaluationCallable;
+  private final UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsResponse>
+      listModelEvaluationsCallable;
+  private final UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsPagedResponse>
+      listModelEvaluationsPagedCallable;
+  private final UnaryCallable<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+      getModelEvaluationSliceCallable;
+  private final UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
+      listModelEvaluationSlicesCallable;
+  private final UnaryCallable<
+          ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesPagedResponse>
+      listModelEvaluationSlicesPagedCallable;
+
+  private final BackgroundResource backgroundResources;
+  private final GrpcOperationsStub operationsStub;
+  private final GrpcStubCallableFactory callableFactory;
+
+  public static final GrpcModelServiceStub create(ModelServiceStubSettings settings)
+      throws IOException {
+    return new GrpcModelServiceStub(settings, ClientContext.create(settings));
+  }
+
+  public static final GrpcModelServiceStub create(ClientContext clientContext) throws IOException {
+    return new GrpcModelServiceStub(ModelServiceStubSettings.newBuilder().build(), clientContext);
+  }
+
+  public static final GrpcModelServiceStub create(
+      ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
+    return new GrpcModelServiceStub(
+        ModelServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
+  }
+
+  /**
+   * Constructs an instance of GrpcModelServiceStub, using the given settings. This is protected so
+   * that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcModelServiceStub(ModelServiceStubSettings settings, ClientContext clientContext)
+      throws IOException {
+    this(settings, clientContext, new GrpcModelServiceCallableFactory());
+  }
+
+  /**
+   * Constructs an instance of GrpcModelServiceStub, using the given settings. This is protected so
+   * that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcModelServiceStub(
+      ModelServiceStubSettings settings,
+      ClientContext clientContext,
+      GrpcStubCallableFactory callableFactory)
+      throws IOException {
+    this.callableFactory = callableFactory;
+    this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
+
+    GrpcCallSettings<UploadModelRequest, Operation> uploadModelTransportSettings =
+        GrpcCallSettings.<UploadModelRequest, Operation>newBuilder()
+            .setMethodDescriptor(uploadModelMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<UploadModelRequest>() {
+                  @Override
+                  public Map<String, String> extract(UploadModelRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<GetModelRequest, Model> getModelTransportSettings =
+        GrpcCallSettings.<GetModelRequest, Model>newBuilder()
+            .setMethodDescriptor(getModelMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<GetModelRequest>() {
+                  @Override
+                  public Map<String, String> extract(GetModelRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ListModelsRequest, ListModelsResponse> listModelsTransportSettings =
+        GrpcCallSettings.<ListModelsRequest, ListModelsResponse>newBuilder()
+            .setMethodDescriptor(listModelsMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<ListModelsRequest>() {
+                  @Override
+                  public Map<String, String> extract(ListModelsRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<UpdateModelRequest, Model> updateModelTransportSettings =
+        GrpcCallSettings.<UpdateModelRequest, Model>newBuilder()
+            .setMethodDescriptor(updateModelMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<UpdateModelRequest>() {
+                  @Override
+                  public Map<String, String> extract(UpdateModelRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("model.name", String.valueOf(request.getModel().getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<DeleteModelRequest, Operation> deleteModelTransportSettings =
+        GrpcCallSettings.<DeleteModelRequest, Operation>newBuilder()
+            .setMethodDescriptor(deleteModelMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<DeleteModelRequest>() {
+                  @Override
+                  public Map<String, String> extract(DeleteModelRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ExportModelRequest, Operation> exportModelTransportSettings =
+        GrpcCallSettings.<ExportModelRequest, Operation>newBuilder()
+            .setMethodDescriptor(exportModelMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<ExportModelRequest>() {
+                  @Override
+                  public Map<String, String> extract(ExportModelRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<GetModelEvaluationRequest, ModelEvaluation>
+        getModelEvaluationTransportSettings =
+            GrpcCallSettings.<GetModelEvaluationRequest, ModelEvaluation>newBuilder()
+                .setMethodDescriptor(getModelEvaluationMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<GetModelEvaluationRequest>() {
+                      @Override
+                      public Map<String, String> extract(GetModelEvaluationRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<ListModelEvaluationsRequest, ListModelEvaluationsResponse>
+        listModelEvaluationsTransportSettings =
+            GrpcCallSettings.<ListModelEvaluationsRequest, ListModelEvaluationsResponse>newBuilder()
+                .setMethodDescriptor(listModelEvaluationsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListModelEvaluationsRequest>() {
+                      @Override
+                      public Map<String, String> extract(ListModelEvaluationsRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+        getModelEvaluationSliceTransportSettings =
+            GrpcCallSettings.<GetModelEvaluationSliceRequest, ModelEvaluationSlice>newBuilder()
+                .setMethodDescriptor(getModelEvaluationSliceMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<GetModelEvaluationSliceRequest>() {
+                      @Override
+                      public Map<String, String> extract(GetModelEvaluationSliceRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
+        listModelEvaluationSlicesTransportSettings =
+            GrpcCallSettings
+                .<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>newBuilder()
+                .setMethodDescriptor(listModelEvaluationSlicesMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListModelEvaluationSlicesRequest>() {
+                      @Override
+                      public Map<String, String> extract(ListModelEvaluationSlicesRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+
+    this.uploadModelCallable =
+        callableFactory.createUnaryCallable(
+            uploadModelTransportSettings, settings.uploadModelSettings(), clientContext);
+    this.uploadModelOperationCallable =
+        callableFactory.createOperationCallable(
+            uploadModelTransportSettings,
+            settings.uploadModelOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.getModelCallable =
+        callableFactory.createUnaryCallable(
+            getModelTransportSettings, settings.getModelSettings(), clientContext);
+    this.listModelsCallable =
+        callableFactory.createUnaryCallable(
+            listModelsTransportSettings, settings.listModelsSettings(), clientContext);
+    this.listModelsPagedCallable =
+        callableFactory.createPagedCallable(
+            listModelsTransportSettings, settings.listModelsSettings(), clientContext);
+    this.updateModelCallable =
+        callableFactory.createUnaryCallable(
+            updateModelTransportSettings, settings.updateModelSettings(), clientContext);
+    this.deleteModelCallable =
+        callableFactory.createUnaryCallable(
+            deleteModelTransportSettings, settings.deleteModelSettings(), clientContext);
+    this.deleteModelOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteModelTransportSettings,
+            settings.deleteModelOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.exportModelCallable =
+        callableFactory.createUnaryCallable(
+            exportModelTransportSettings, settings.exportModelSettings(), clientContext);
+    this.exportModelOperationCallable =
+        callableFactory.createOperationCallable(
+            exportModelTransportSettings,
+            settings.exportModelOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.getModelEvaluationCallable =
+        callableFactory.createUnaryCallable(
+            getModelEvaluationTransportSettings,
+            settings.getModelEvaluationSettings(),
+            clientContext);
+    this.listModelEvaluationsCallable =
+        callableFactory.createUnaryCallable(
+            listModelEvaluationsTransportSettings,
+            settings.listModelEvaluationsSettings(),
+            clientContext);
+    this.listModelEvaluationsPagedCallable =
+        callableFactory.createPagedCallable(
+            listModelEvaluationsTransportSettings,
+            settings.listModelEvaluationsSettings(),
+            clientContext);
+    this.getModelEvaluationSliceCallable =
+        callableFactory.createUnaryCallable(
+            getModelEvaluationSliceTransportSettings,
+            settings.getModelEvaluationSliceSettings(),
+            clientContext);
+    this.listModelEvaluationSlicesCallable =
+        callableFactory.createUnaryCallable(
+            listModelEvaluationSlicesTransportSettings,
+            settings.listModelEvaluationSlicesSettings(),
+            clientContext);
+    this.listModelEvaluationSlicesPagedCallable =
+        callableFactory.createPagedCallable(
+            listModelEvaluationSlicesTransportSettings,
+            settings.listModelEvaluationSlicesSettings(),
+            clientContext);
+
+    this.backgroundResources =
+        new BackgroundResourceAggregation(clientContext.getBackgroundResources());
+  }
+
+  public GrpcOperationsStub getOperationsStub() {
+    return operationsStub;
+  }
+
+  public UnaryCallable<UploadModelRequest, Operation> uploadModelCallable() {
+    return uploadModelCallable;
+  }
+
+  public OperationCallable<UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+      uploadModelOperationCallable() {
+    return uploadModelOperationCallable;
+  }
+
+  public UnaryCallable<GetModelRequest, Model> getModelCallable() {
+    return getModelCallable;
+  }
+
+  public UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCallable() {
+    return listModelsCallable;
+  }
+
+  public UnaryCallable<ListModelsRequest, ListModelsPagedResponse> listModelsPagedCallable() {
+    return listModelsPagedCallable;
+  }
+
+  public UnaryCallable<UpdateModelRequest, Model> updateModelCallable() {
+    return updateModelCallable;
+  }
+
+  public UnaryCallable<DeleteModelRequest, Operation> deleteModelCallable() {
+    return deleteModelCallable;
+  }
+
+  public OperationCallable<DeleteModelRequest, Empty, DeleteOperationMetadata>
+      deleteModelOperationCallable() {
+    return deleteModelOperationCallable;
+  }
+
+  public UnaryCallable<ExportModelRequest, Operation> exportModelCallable() {
+    return exportModelCallable;
+  }
+
+  public OperationCallable<ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+      exportModelOperationCallable() {
+    return exportModelOperationCallable;
+  }
+
+  public UnaryCallable<GetModelEvaluationRequest, ModelEvaluation> getModelEvaluationCallable() {
+    return getModelEvaluationCallable;
+  }
+
+  public UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsResponse>
+      listModelEvaluationsCallable() {
+    return listModelEvaluationsCallable;
+  }
+
+  public UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsPagedResponse>
+      listModelEvaluationsPagedCallable() {
+    return listModelEvaluationsPagedCallable;
+  }
+
+  public UnaryCallable<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+      getModelEvaluationSliceCallable() {
+    return getModelEvaluationSliceCallable;
+  }
+
+  public UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
+      listModelEvaluationSlicesCallable() {
+    return listModelEvaluationSlicesCallable;
+  }
+
+  public UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesPagedResponse>
+      listModelEvaluationSlicesPagedCallable() {
+    return listModelEvaluationSlicesPagedCallable;
+  }
+
+  @Override
+  public final void close() {
+    shutdown();
+  }
+
+  @Override
+  public void shutdown() {
+    backgroundResources.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return backgroundResources.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return backgroundResources.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    backgroundResources.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return backgroundResources.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPipelineServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPipelineServiceCallableFactory.java
new file mode 100644
index 000000000..ba200e5ca
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPipelineServiceCallableFactory.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcCallableFactory;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.BatchingCallSettings;
+import com.google.api.gax.rpc.BidiStreamingCallable;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientStreamingCallable;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallable;
+import com.google.api.gax.rpc.StreamingCallSettings;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC callable factory implementation for the PipelineService service API.
+ *
+ * <p>This class is for advanced usage.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcPipelineServiceCallableFactory implements GrpcStubCallableFactory {
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createUnaryCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      UnaryCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, PagedListResponseT>
+      UnaryCallable<RequestT, PagedListResponseT> createPagedCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          PagedCallSettings<RequestT, ResponseT, PagedListResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createPagedCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createBatchingCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      BatchingCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createBatchingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, MetadataT>
+      OperationCallable<RequestT, ResponseT, MetadataT> createOperationCallable(
+          GrpcCallSettings<RequestT, Operation> grpcCallSettings,
+          OperationCallSettings<RequestT, ResponseT, MetadataT> callSettings,
+          ClientContext clientContext,
+          OperationsStub operationsStub) {
+    return GrpcCallableFactory.createOperationCallable(
+        grpcCallSettings, callSettings, clientContext, operationsStub);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      BidiStreamingCallable<RequestT, ResponseT> createBidiStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createBidiStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ServerStreamingCallable<RequestT, ResponseT> createServerStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          ServerStreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createServerStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ClientStreamingCallable<RequestT, ResponseT> createClientStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createClientStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPipelineServiceStub.java
new file mode 100644
index 000000000..75c253dea
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPipelineServiceStub.java
@@ -0,0 +1,345 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.core.BackgroundResourceAggregation;
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.RequestParamsExtractor;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+import com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+import com.google.cloud.aiplatform.v1.TrainingPipeline;
+import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.GrpcOperationsStub;
+import com.google.protobuf.Empty;
+import io.grpc.MethodDescriptor;
+import io.grpc.protobuf.ProtoUtils;
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC stub implementation for the PipelineService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcPipelineServiceStub extends PipelineServiceStub {
+  private static final MethodDescriptor<CreateTrainingPipelineRequest, TrainingPipeline>
+      createTrainingPipelineMethodDescriptor =
+          MethodDescriptor.<CreateTrainingPipelineRequest, TrainingPipeline>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.PipelineService/CreateTrainingPipeline")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CreateTrainingPipelineRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(TrainingPipeline.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetTrainingPipelineRequest, TrainingPipeline>
+      getTrainingPipelineMethodDescriptor =
+          MethodDescriptor.<GetTrainingPipelineRequest, TrainingPipeline>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.PipelineService/GetTrainingPipeline")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetTrainingPipelineRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(TrainingPipeline.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>
+      listTrainingPipelinesMethodDescriptor =
+          MethodDescriptor.<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName("google.cloud.aiplatform.v1.PipelineService/ListTrainingPipelines")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListTrainingPipelinesRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListTrainingPipelinesResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeleteTrainingPipelineRequest, Operation>
+      deleteTrainingPipelineMethodDescriptor =
+          MethodDescriptor.<DeleteTrainingPipelineRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.PipelineService/DeleteTrainingPipeline")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(DeleteTrainingPipelineRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<CancelTrainingPipelineRequest, Empty>
+      cancelTrainingPipelineMethodDescriptor =
+          MethodDescriptor.<CancelTrainingPipelineRequest, Empty>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.PipelineService/CancelTrainingPipeline")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CancelTrainingPipelineRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Empty.getDefaultInstance()))
+              .build();
+
+  private final UnaryCallable<CreateTrainingPipelineRequest, TrainingPipeline>
+      createTrainingPipelineCallable;
+  private final UnaryCallable<GetTrainingPipelineRequest, TrainingPipeline>
+      getTrainingPipelineCallable;
+  private final UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>
+      listTrainingPipelinesCallable;
+  private final UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesPagedResponse>
+      listTrainingPipelinesPagedCallable;
+  private final UnaryCallable<DeleteTrainingPipelineRequest, Operation>
+      deleteTrainingPipelineCallable;
+  private final OperationCallable<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+      deleteTrainingPipelineOperationCallable;
+  private final UnaryCallable<CancelTrainingPipelineRequest, Empty> cancelTrainingPipelineCallable;
+
+  private final BackgroundResource backgroundResources;
+  private final GrpcOperationsStub operationsStub;
+  private final GrpcStubCallableFactory callableFactory;
+
+  public static final GrpcPipelineServiceStub create(PipelineServiceStubSettings settings)
+      throws IOException {
+    return new GrpcPipelineServiceStub(settings, ClientContext.create(settings));
+  }
+
+  public static final GrpcPipelineServiceStub create(ClientContext clientContext)
+      throws IOException {
+    return new GrpcPipelineServiceStub(
+        PipelineServiceStubSettings.newBuilder().build(), clientContext);
+  }
+
+  public static final GrpcPipelineServiceStub create(
+      ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
+    return new GrpcPipelineServiceStub(
+        PipelineServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
+  }
+
+  /**
+   * Constructs an instance of GrpcPipelineServiceStub, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcPipelineServiceStub(
+      PipelineServiceStubSettings settings, ClientContext clientContext) throws IOException {
+    this(settings, clientContext, new GrpcPipelineServiceCallableFactory());
+  }
+
+  /**
+   * Constructs an instance of GrpcPipelineServiceStub, using the given settings. This is protected
+   * so that it is easy to make a subclass, but otherwise, the static factory methods should be
+   * preferred.
+   */
+  protected GrpcPipelineServiceStub(
+      PipelineServiceStubSettings settings,
+      ClientContext clientContext,
+      GrpcStubCallableFactory callableFactory)
+      throws IOException {
+    this.callableFactory = callableFactory;
+    this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
+
+    GrpcCallSettings<CreateTrainingPipelineRequest, TrainingPipeline>
+        createTrainingPipelineTransportSettings =
+            GrpcCallSettings.<CreateTrainingPipelineRequest, TrainingPipeline>newBuilder()
+                .setMethodDescriptor(createTrainingPipelineMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<CreateTrainingPipelineRequest>() {
+                      @Override
+                      public Map<String, String> extract(CreateTrainingPipelineRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<GetTrainingPipelineRequest, TrainingPipeline>
+        getTrainingPipelineTransportSettings =
+            GrpcCallSettings.<GetTrainingPipelineRequest, TrainingPipeline>newBuilder()
+                .setMethodDescriptor(getTrainingPipelineMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<GetTrainingPipelineRequest>() {
+                      @Override
+                      public Map<String, String> extract(GetTrainingPipelineRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>
+        listTrainingPipelinesTransportSettings =
+            GrpcCallSettings
+                .<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>newBuilder()
+                .setMethodDescriptor(listTrainingPipelinesMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListTrainingPipelinesRequest>() {
+                      @Override
+                      public Map<String, String> extract(ListTrainingPipelinesRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<DeleteTrainingPipelineRequest, Operation>
+        deleteTrainingPipelineTransportSettings =
+            GrpcCallSettings.<DeleteTrainingPipelineRequest, Operation>newBuilder()
+                .setMethodDescriptor(deleteTrainingPipelineMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<DeleteTrainingPipelineRequest>() {
+                      @Override
+                      public Map<String, String> extract(DeleteTrainingPipelineRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("name", String.valueOf(request.getName()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<CancelTrainingPipelineRequest, Empty> cancelTrainingPipelineTransportSettings =
+        GrpcCallSettings.<CancelTrainingPipelineRequest, Empty>newBuilder()
+            .setMethodDescriptor(cancelTrainingPipelineMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<CancelTrainingPipelineRequest>() {
+                  @Override
+                  public Map<String, String> extract(CancelTrainingPipelineRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+
+    this.createTrainingPipelineCallable =
+        callableFactory.createUnaryCallable(
+            createTrainingPipelineTransportSettings,
+            settings.createTrainingPipelineSettings(),
+            clientContext);
+    this.getTrainingPipelineCallable =
+        callableFactory.createUnaryCallable(
+            getTrainingPipelineTransportSettings,
+            settings.getTrainingPipelineSettings(),
+            clientContext);
+    this.listTrainingPipelinesCallable =
+        callableFactory.createUnaryCallable(
+            listTrainingPipelinesTransportSettings,
+            settings.listTrainingPipelinesSettings(),
+            clientContext);
+    this.listTrainingPipelinesPagedCallable =
+        callableFactory.createPagedCallable(
+            listTrainingPipelinesTransportSettings,
+            settings.listTrainingPipelinesSettings(),
+            clientContext);
+    this.deleteTrainingPipelineCallable =
+        callableFactory.createUnaryCallable(
+            deleteTrainingPipelineTransportSettings,
+            settings.deleteTrainingPipelineSettings(),
+            clientContext);
+    this.deleteTrainingPipelineOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteTrainingPipelineTransportSettings,
+            settings.deleteTrainingPipelineOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.cancelTrainingPipelineCallable =
+        callableFactory.createUnaryCallable(
+            cancelTrainingPipelineTransportSettings,
+            settings.cancelTrainingPipelineSettings(),
+            clientContext);
+
+    this.backgroundResources =
+        new BackgroundResourceAggregation(clientContext.getBackgroundResources());
+  }
+
+  public GrpcOperationsStub getOperationsStub() {
+    return operationsStub;
+  }
+
+  public UnaryCallable<CreateTrainingPipelineRequest, TrainingPipeline>
+      createTrainingPipelineCallable() {
+    return createTrainingPipelineCallable;
+  }
+
+  public UnaryCallable<GetTrainingPipelineRequest, TrainingPipeline> getTrainingPipelineCallable() {
+    return getTrainingPipelineCallable;
+  }
+
+  public UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>
+      listTrainingPipelinesCallable() {
+    return listTrainingPipelinesCallable;
+  }
+
+  public UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesPagedResponse>
+      listTrainingPipelinesPagedCallable() {
+    return listTrainingPipelinesPagedCallable;
+  }
+
+  public UnaryCallable<DeleteTrainingPipelineRequest, Operation> deleteTrainingPipelineCallable() {
+    return deleteTrainingPipelineCallable;
+  }
+
+  public OperationCallable<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+      deleteTrainingPipelineOperationCallable() {
+    return deleteTrainingPipelineOperationCallable;
+  }
+
+  public UnaryCallable<CancelTrainingPipelineRequest, Empty> cancelTrainingPipelineCallable() {
+    return cancelTrainingPipelineCallable;
+  }
+
+  @Override
+  public final void close() {
+    shutdown();
+  }
+
+  @Override
+  public void shutdown() {
+    backgroundResources.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return backgroundResources.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return backgroundResources.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    backgroundResources.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return backgroundResources.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPredictionServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPredictionServiceCallableFactory.java
new file mode 100644
index 000000000..f9246d98b
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPredictionServiceCallableFactory.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcCallableFactory;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.BatchingCallSettings;
+import com.google.api.gax.rpc.BidiStreamingCallable;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientStreamingCallable;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallable;
+import com.google.api.gax.rpc.StreamingCallSettings;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC callable factory implementation for the PredictionService service API.
+ *
+ * <p>This class is for advanced usage.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcPredictionServiceCallableFactory implements GrpcStubCallableFactory {
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createUnaryCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      UnaryCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, PagedListResponseT>
+      UnaryCallable<RequestT, PagedListResponseT> createPagedCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          PagedCallSettings<RequestT, ResponseT, PagedListResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createPagedCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createBatchingCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      BatchingCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createBatchingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, MetadataT>
+      OperationCallable<RequestT, ResponseT, MetadataT> createOperationCallable(
+          GrpcCallSettings<RequestT, Operation> grpcCallSettings,
+          OperationCallSettings<RequestT, ResponseT, MetadataT> callSettings,
+          ClientContext clientContext,
+          OperationsStub operationsStub) {
+    return GrpcCallableFactory.createOperationCallable(
+        grpcCallSettings, callSettings, clientContext, operationsStub);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      BidiStreamingCallable<RequestT, ResponseT> createBidiStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createBidiStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ServerStreamingCallable<RequestT, ResponseT> createServerStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          ServerStreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createServerStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ClientStreamingCallable<RequestT, ResponseT> createClientStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createClientStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPredictionServiceStub.java
new file mode 100644
index 000000000..b38c6f40a
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcPredictionServiceStub.java
@@ -0,0 +1,158 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.core.BackgroundResourceAggregation;
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.RequestParamsExtractor;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.PredictRequest;
+import com.google.cloud.aiplatform.v1.PredictResponse;
+import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.stub.GrpcOperationsStub;
+import io.grpc.MethodDescriptor;
+import io.grpc.protobuf.ProtoUtils;
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC stub implementation for the PredictionService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcPredictionServiceStub extends PredictionServiceStub {
+  private static final MethodDescriptor<PredictRequest, PredictResponse> predictMethodDescriptor =
+      MethodDescriptor.<PredictRequest, PredictResponse>newBuilder()
+          .setType(MethodDescriptor.MethodType.UNARY)
+          .setFullMethodName("google.cloud.aiplatform.v1.PredictionService/Predict")
+          .setRequestMarshaller(ProtoUtils.marshaller(PredictRequest.getDefaultInstance()))
+          .setResponseMarshaller(ProtoUtils.marshaller(PredictResponse.getDefaultInstance()))
+          .build();
+
+  private final UnaryCallable<PredictRequest, PredictResponse> predictCallable;
+
+  private final BackgroundResource backgroundResources;
+  private final GrpcOperationsStub operationsStub;
+  private final GrpcStubCallableFactory callableFactory;
+
+  public static final GrpcPredictionServiceStub create(PredictionServiceStubSettings settings)
+      throws IOException {
+    return new GrpcPredictionServiceStub(settings, ClientContext.create(settings));
+  }
+
+  public static final GrpcPredictionServiceStub create(ClientContext clientContext)
+      throws IOException {
+    return new GrpcPredictionServiceStub(
+        PredictionServiceStubSettings.newBuilder().build(), clientContext);
+  }
+
+  public static final GrpcPredictionServiceStub create(
+      ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
+    return new GrpcPredictionServiceStub(
+        PredictionServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
+  }
+
+  /**
+   * Constructs an instance of GrpcPredictionServiceStub, using the given settings. This is
+   * protected so that it is easy to make a subclass, but otherwise, the static factory methods
+   * should be preferred.
+   */
+  protected GrpcPredictionServiceStub(
+      PredictionServiceStubSettings settings, ClientContext clientContext) throws IOException {
+    this(settings, clientContext, new GrpcPredictionServiceCallableFactory());
+  }
+
+  /**
+   * Constructs an instance of GrpcPredictionServiceStub, using the given settings. This is
+   * protected so that it is easy to make a subclass, but otherwise, the static factory methods
+   * should be preferred.
+   */
+  protected GrpcPredictionServiceStub(
+      PredictionServiceStubSettings settings,
+      ClientContext clientContext,
+      GrpcStubCallableFactory callableFactory)
+      throws IOException {
+    this.callableFactory = callableFactory;
+    this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
+
+    GrpcCallSettings<PredictRequest, PredictResponse> predictTransportSettings =
+        GrpcCallSettings.<PredictRequest, PredictResponse>newBuilder()
+            .setMethodDescriptor(predictMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<PredictRequest>() {
+                  @Override
+                  public Map<String, String> extract(PredictRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("endpoint", String.valueOf(request.getEndpoint()));
+                    return params.build();
+                  }
+                })
+            .build();
+
+    this.predictCallable =
+        callableFactory.createUnaryCallable(
+            predictTransportSettings, settings.predictSettings(), clientContext);
+
+    this.backgroundResources =
+        new BackgroundResourceAggregation(clientContext.getBackgroundResources());
+  }
+
+  public GrpcOperationsStub getOperationsStub() {
+    return operationsStub;
+  }
+
+  public UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
+    return predictCallable;
+  }
+
+  @Override
+  public final void close() {
+    shutdown();
+  }
+
+  @Override
+  public void shutdown() {
+    backgroundResources.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return backgroundResources.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return backgroundResources.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    backgroundResources.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return backgroundResources.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcSpecialistPoolServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcSpecialistPoolServiceCallableFactory.java
new file mode 100644
index 000000000..f4ecb2bc1
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcSpecialistPoolServiceCallableFactory.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcCallableFactory;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.BatchingCallSettings;
+import com.google.api.gax.rpc.BidiStreamingCallable;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.ClientStreamingCallable;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallSettings;
+import com.google.api.gax.rpc.ServerStreamingCallable;
+import com.google.api.gax.rpc.StreamingCallSettings;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC callable factory implementation for the SpecialistPoolService service API.
+ *
+ * <p>This class is for advanced usage.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcSpecialistPoolServiceCallableFactory implements GrpcStubCallableFactory {
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createUnaryCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      UnaryCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createUnaryCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, PagedListResponseT>
+      UnaryCallable<RequestT, PagedListResponseT> createPagedCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          PagedCallSettings<RequestT, ResponseT, PagedListResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createPagedCallable(grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT> UnaryCallable<RequestT, ResponseT> createBatchingCallable(
+      GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+      BatchingCallSettings<RequestT, ResponseT> callSettings,
+      ClientContext clientContext) {
+    return GrpcCallableFactory.createBatchingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT, MetadataT>
+      OperationCallable<RequestT, ResponseT, MetadataT> createOperationCallable(
+          GrpcCallSettings<RequestT, Operation> grpcCallSettings,
+          OperationCallSettings<RequestT, ResponseT, MetadataT> callSettings,
+          ClientContext clientContext,
+          OperationsStub operationsStub) {
+    return GrpcCallableFactory.createOperationCallable(
+        grpcCallSettings, callSettings, clientContext, operationsStub);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      BidiStreamingCallable<RequestT, ResponseT> createBidiStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createBidiStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ServerStreamingCallable<RequestT, ResponseT> createServerStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          ServerStreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createServerStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+
+  @Override
+  public <RequestT, ResponseT>
+      ClientStreamingCallable<RequestT, ResponseT> createClientStreamingCallable(
+          GrpcCallSettings<RequestT, ResponseT> grpcCallSettings,
+          StreamingCallSettings<RequestT, ResponseT> callSettings,
+          ClientContext clientContext) {
+    return GrpcCallableFactory.createClientStreamingCallable(
+        grpcCallSettings, callSettings, clientContext);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcSpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcSpecialistPoolServiceStub.java
new file mode 100644
index 000000000..853f40f91
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/GrpcSpecialistPoolServiceStub.java
@@ -0,0 +1,373 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.core.BackgroundResourceAggregation;
+import com.google.api.gax.grpc.GrpcCallSettings;
+import com.google.api.gax.grpc.GrpcStubCallableFactory;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.RequestParamsExtractor;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest;
+import com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse;
+import com.google.cloud.aiplatform.v1.SpecialistPool;
+import com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata;
+import com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest;
+import com.google.common.collect.ImmutableMap;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.GrpcOperationsStub;
+import com.google.protobuf.Empty;
+import io.grpc.MethodDescriptor;
+import io.grpc.protobuf.ProtoUtils;
+import java.io.IOException;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * gRPC stub implementation for the SpecialistPoolService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public class GrpcSpecialistPoolServiceStub extends SpecialistPoolServiceStub {
+  private static final MethodDescriptor<CreateSpecialistPoolRequest, Operation>
+      createSpecialistPoolMethodDescriptor =
+          MethodDescriptor.<CreateSpecialistPoolRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.SpecialistPoolService/CreateSpecialistPool")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(CreateSpecialistPoolRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<GetSpecialistPoolRequest, SpecialistPool>
+      getSpecialistPoolMethodDescriptor =
+          MethodDescriptor.<GetSpecialistPoolRequest, SpecialistPool>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.SpecialistPoolService/GetSpecialistPool")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(GetSpecialistPoolRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(SpecialistPool.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>
+      listSpecialistPoolsMethodDescriptor =
+          MethodDescriptor.<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.SpecialistPoolService/ListSpecialistPools")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(ListSpecialistPoolsRequest.getDefaultInstance()))
+              .setResponseMarshaller(
+                  ProtoUtils.marshaller(ListSpecialistPoolsResponse.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<DeleteSpecialistPoolRequest, Operation>
+      deleteSpecialistPoolMethodDescriptor =
+          MethodDescriptor.<DeleteSpecialistPoolRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.SpecialistPoolService/DeleteSpecialistPool")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(DeleteSpecialistPoolRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private static final MethodDescriptor<UpdateSpecialistPoolRequest, Operation>
+      updateSpecialistPoolMethodDescriptor =
+          MethodDescriptor.<UpdateSpecialistPoolRequest, Operation>newBuilder()
+              .setType(MethodDescriptor.MethodType.UNARY)
+              .setFullMethodName(
+                  "google.cloud.aiplatform.v1.SpecialistPoolService/UpdateSpecialistPool")
+              .setRequestMarshaller(
+                  ProtoUtils.marshaller(UpdateSpecialistPoolRequest.getDefaultInstance()))
+              .setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
+              .build();
+
+  private final UnaryCallable<CreateSpecialistPoolRequest, Operation> createSpecialistPoolCallable;
+  private final OperationCallable<
+          CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolOperationCallable;
+  private final UnaryCallable<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolCallable;
+  private final UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>
+      listSpecialistPoolsCallable;
+  private final UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsPagedResponse>
+      listSpecialistPoolsPagedCallable;
+  private final UnaryCallable<DeleteSpecialistPoolRequest, Operation> deleteSpecialistPoolCallable;
+  private final OperationCallable<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+      deleteSpecialistPoolOperationCallable;
+  private final UnaryCallable<UpdateSpecialistPoolRequest, Operation> updateSpecialistPoolCallable;
+  private final OperationCallable<
+          UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolOperationCallable;
+
+  private final BackgroundResource backgroundResources;
+  private final GrpcOperationsStub operationsStub;
+  private final GrpcStubCallableFactory callableFactory;
+
+  public static final GrpcSpecialistPoolServiceStub create(
+      SpecialistPoolServiceStubSettings settings) throws IOException {
+    return new GrpcSpecialistPoolServiceStub(settings, ClientContext.create(settings));
+  }
+
+  public static final GrpcSpecialistPoolServiceStub create(ClientContext clientContext)
+      throws IOException {
+    return new GrpcSpecialistPoolServiceStub(
+        SpecialistPoolServiceStubSettings.newBuilder().build(), clientContext);
+  }
+
+  public static final GrpcSpecialistPoolServiceStub create(
+      ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
+    return new GrpcSpecialistPoolServiceStub(
+        SpecialistPoolServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
+  }
+
+  /**
+   * Constructs an instance of GrpcSpecialistPoolServiceStub, using the given settings. This is
+   * protected so that it is easy to make a subclass, but otherwise, the static factory methods
+   * should be preferred.
+   */
+  protected GrpcSpecialistPoolServiceStub(
+      SpecialistPoolServiceStubSettings settings, ClientContext clientContext) throws IOException {
+    this(settings, clientContext, new GrpcSpecialistPoolServiceCallableFactory());
+  }
+
+  /**
+   * Constructs an instance of GrpcSpecialistPoolServiceStub, using the given settings. This is
+   * protected so that it is easy to make a subclass, but otherwise, the static factory methods
+   * should be preferred.
+   */
+  protected GrpcSpecialistPoolServiceStub(
+      SpecialistPoolServiceStubSettings settings,
+      ClientContext clientContext,
+      GrpcStubCallableFactory callableFactory)
+      throws IOException {
+    this.callableFactory = callableFactory;
+    this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
+
+    GrpcCallSettings<CreateSpecialistPoolRequest, Operation> createSpecialistPoolTransportSettings =
+        GrpcCallSettings.<CreateSpecialistPoolRequest, Operation>newBuilder()
+            .setMethodDescriptor(createSpecialistPoolMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<CreateSpecialistPoolRequest>() {
+                  @Override
+                  public Map<String, String> extract(CreateSpecialistPoolRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("parent", String.valueOf(request.getParent()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolTransportSettings =
+        GrpcCallSettings.<GetSpecialistPoolRequest, SpecialistPool>newBuilder()
+            .setMethodDescriptor(getSpecialistPoolMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<GetSpecialistPoolRequest>() {
+                  @Override
+                  public Map<String, String> extract(GetSpecialistPoolRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>
+        listSpecialistPoolsTransportSettings =
+            GrpcCallSettings.<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>newBuilder()
+                .setMethodDescriptor(listSpecialistPoolsMethodDescriptor)
+                .setParamsExtractor(
+                    new RequestParamsExtractor<ListSpecialistPoolsRequest>() {
+                      @Override
+                      public Map<String, String> extract(ListSpecialistPoolsRequest request) {
+                        ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                        params.put("parent", String.valueOf(request.getParent()));
+                        return params.build();
+                      }
+                    })
+                .build();
+    GrpcCallSettings<DeleteSpecialistPoolRequest, Operation> deleteSpecialistPoolTransportSettings =
+        GrpcCallSettings.<DeleteSpecialistPoolRequest, Operation>newBuilder()
+            .setMethodDescriptor(deleteSpecialistPoolMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<DeleteSpecialistPoolRequest>() {
+                  @Override
+                  public Map<String, String> extract(DeleteSpecialistPoolRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put("name", String.valueOf(request.getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+    GrpcCallSettings<UpdateSpecialistPoolRequest, Operation> updateSpecialistPoolTransportSettings =
+        GrpcCallSettings.<UpdateSpecialistPoolRequest, Operation>newBuilder()
+            .setMethodDescriptor(updateSpecialistPoolMethodDescriptor)
+            .setParamsExtractor(
+                new RequestParamsExtractor<UpdateSpecialistPoolRequest>() {
+                  @Override
+                  public Map<String, String> extract(UpdateSpecialistPoolRequest request) {
+                    ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
+                    params.put(
+                        "specialist_pool.name",
+                        String.valueOf(request.getSpecialistPool().getName()));
+                    return params.build();
+                  }
+                })
+            .build();
+
+    this.createSpecialistPoolCallable =
+        callableFactory.createUnaryCallable(
+            createSpecialistPoolTransportSettings,
+            settings.createSpecialistPoolSettings(),
+            clientContext);
+    this.createSpecialistPoolOperationCallable =
+        callableFactory.createOperationCallable(
+            createSpecialistPoolTransportSettings,
+            settings.createSpecialistPoolOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.getSpecialistPoolCallable =
+        callableFactory.createUnaryCallable(
+            getSpecialistPoolTransportSettings,
+            settings.getSpecialistPoolSettings(),
+            clientContext);
+    this.listSpecialistPoolsCallable =
+        callableFactory.createUnaryCallable(
+            listSpecialistPoolsTransportSettings,
+            settings.listSpecialistPoolsSettings(),
+            clientContext);
+    this.listSpecialistPoolsPagedCallable =
+        callableFactory.createPagedCallable(
+            listSpecialistPoolsTransportSettings,
+            settings.listSpecialistPoolsSettings(),
+            clientContext);
+    this.deleteSpecialistPoolCallable =
+        callableFactory.createUnaryCallable(
+            deleteSpecialistPoolTransportSettings,
+            settings.deleteSpecialistPoolSettings(),
+            clientContext);
+    this.deleteSpecialistPoolOperationCallable =
+        callableFactory.createOperationCallable(
+            deleteSpecialistPoolTransportSettings,
+            settings.deleteSpecialistPoolOperationSettings(),
+            clientContext,
+            operationsStub);
+    this.updateSpecialistPoolCallable =
+        callableFactory.createUnaryCallable(
+            updateSpecialistPoolTransportSettings,
+            settings.updateSpecialistPoolSettings(),
+            clientContext);
+    this.updateSpecialistPoolOperationCallable =
+        callableFactory.createOperationCallable(
+            updateSpecialistPoolTransportSettings,
+            settings.updateSpecialistPoolOperationSettings(),
+            clientContext,
+            operationsStub);
+
+    this.backgroundResources =
+        new BackgroundResourceAggregation(clientContext.getBackgroundResources());
+  }
+
+  public GrpcOperationsStub getOperationsStub() {
+    return operationsStub;
+  }
+
+  public UnaryCallable<CreateSpecialistPoolRequest, Operation> createSpecialistPoolCallable() {
+    return createSpecialistPoolCallable;
+  }
+
+  public OperationCallable<
+          CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolOperationCallable() {
+    return createSpecialistPoolOperationCallable;
+  }
+
+  public UnaryCallable<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolCallable() {
+    return getSpecialistPoolCallable;
+  }
+
+  public UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>
+      listSpecialistPoolsCallable() {
+    return listSpecialistPoolsCallable;
+  }
+
+  public UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsPagedResponse>
+      listSpecialistPoolsPagedCallable() {
+    return listSpecialistPoolsPagedCallable;
+  }
+
+  public UnaryCallable<DeleteSpecialistPoolRequest, Operation> deleteSpecialistPoolCallable() {
+    return deleteSpecialistPoolCallable;
+  }
+
+  public OperationCallable<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+      deleteSpecialistPoolOperationCallable() {
+    return deleteSpecialistPoolOperationCallable;
+  }
+
+  public UnaryCallable<UpdateSpecialistPoolRequest, Operation> updateSpecialistPoolCallable() {
+    return updateSpecialistPoolCallable;
+  }
+
+  public OperationCallable<
+          UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolOperationCallable() {
+    return updateSpecialistPoolOperationCallable;
+  }
+
+  @Override
+  public final void close() {
+    shutdown();
+  }
+
+  @Override
+  public void shutdown() {
+    backgroundResources.shutdown();
+  }
+
+  @Override
+  public boolean isShutdown() {
+    return backgroundResources.isShutdown();
+  }
+
+  @Override
+  public boolean isTerminated() {
+    return backgroundResources.isTerminated();
+  }
+
+  @Override
+  public void shutdownNow() {
+    backgroundResources.shutdownNow();
+  }
+
+  @Override
+  public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
+    return backgroundResources.awaitTermination(duration, unit);
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStub.java
new file mode 100644
index 000000000..59ed98c1c
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStub.java
@@ -0,0 +1,218 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListBatchPredictionJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListCustomJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListDataLabelingJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.BatchPredictionJob;
+import com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.CancelCustomJobRequest;
+import com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.CreateCustomJobRequest;
+import com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.CustomJob;
+import com.google.cloud.aiplatform.v1.DataLabelingJob;
+import com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteCustomJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.GetCustomJobRequest;
+import com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.HyperparameterTuningJob;
+import com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest;
+import com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse;
+import com.google.cloud.aiplatform.v1.ListCustomJobsRequest;
+import com.google.cloud.aiplatform.v1.ListCustomJobsResponse;
+import com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest;
+import com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse;
+import com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest;
+import com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import com.google.protobuf.Empty;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Base stub class for the JobService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public abstract class JobServiceStub implements BackgroundResource {
+
+  public OperationsStub getOperationsStub() {
+    throw new UnsupportedOperationException("Not implemented: getOperationsStub()");
+  }
+
+  public UnaryCallable<CreateCustomJobRequest, CustomJob> createCustomJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: createCustomJobCallable()");
+  }
+
+  public UnaryCallable<GetCustomJobRequest, CustomJob> getCustomJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: getCustomJobCallable()");
+  }
+
+  public UnaryCallable<ListCustomJobsRequest, ListCustomJobsPagedResponse>
+      listCustomJobsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listCustomJobsPagedCallable()");
+  }
+
+  public UnaryCallable<ListCustomJobsRequest, ListCustomJobsResponse> listCustomJobsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listCustomJobsCallable()");
+  }
+
+  public OperationCallable<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+      deleteCustomJobOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteCustomJobOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteCustomJobRequest, Operation> deleteCustomJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteCustomJobCallable()");
+  }
+
+  public UnaryCallable<CancelCustomJobRequest, Empty> cancelCustomJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: cancelCustomJobCallable()");
+  }
+
+  public UnaryCallable<CreateDataLabelingJobRequest, DataLabelingJob>
+      createDataLabelingJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: createDataLabelingJobCallable()");
+  }
+
+  public UnaryCallable<GetDataLabelingJobRequest, DataLabelingJob> getDataLabelingJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: getDataLabelingJobCallable()");
+  }
+
+  public UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsPagedResponse>
+      listDataLabelingJobsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listDataLabelingJobsPagedCallable()");
+  }
+
+  public UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>
+      listDataLabelingJobsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listDataLabelingJobsCallable()");
+  }
+
+  public OperationCallable<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+      deleteDataLabelingJobOperationCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: deleteDataLabelingJobOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteDataLabelingJobRequest, Operation> deleteDataLabelingJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteDataLabelingJobCallable()");
+  }
+
+  public UnaryCallable<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: cancelDataLabelingJobCallable()");
+  }
+
+  public UnaryCallable<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      createHyperparameterTuningJobCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: createHyperparameterTuningJobCallable()");
+  }
+
+  public UnaryCallable<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      getHyperparameterTuningJobCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: getHyperparameterTuningJobCallable()");
+  }
+
+  public UnaryCallable<
+          ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsPagedResponse>
+      listHyperparameterTuningJobsPagedCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: listHyperparameterTuningJobsPagedCallable()");
+  }
+
+  public UnaryCallable<ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+      listHyperparameterTuningJobsCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: listHyperparameterTuningJobsCallable()");
+  }
+
+  public OperationCallable<DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+      deleteHyperparameterTuningJobOperationCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: deleteHyperparameterTuningJobOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteHyperparameterTuningJobRequest, Operation>
+      deleteHyperparameterTuningJobCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: deleteHyperparameterTuningJobCallable()");
+  }
+
+  public UnaryCallable<CancelHyperparameterTuningJobRequest, Empty>
+      cancelHyperparameterTuningJobCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: cancelHyperparameterTuningJobCallable()");
+  }
+
+  public UnaryCallable<CreateBatchPredictionJobRequest, BatchPredictionJob>
+      createBatchPredictionJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: createBatchPredictionJobCallable()");
+  }
+
+  public UnaryCallable<GetBatchPredictionJobRequest, BatchPredictionJob>
+      getBatchPredictionJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: getBatchPredictionJobCallable()");
+  }
+
+  public UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsPagedResponse>
+      listBatchPredictionJobsPagedCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: listBatchPredictionJobsPagedCallable()");
+  }
+
+  public UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
+      listBatchPredictionJobsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listBatchPredictionJobsCallable()");
+  }
+
+  public OperationCallable<DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+      deleteBatchPredictionJobOperationCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: deleteBatchPredictionJobOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteBatchPredictionJobRequest, Operation>
+      deleteBatchPredictionJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteBatchPredictionJobCallable()");
+  }
+
+  public UnaryCallable<CancelBatchPredictionJobRequest, Empty> cancelBatchPredictionJobCallable() {
+    throw new UnsupportedOperationException("Not implemented: cancelBatchPredictionJobCallable()");
+  }
+
+  @Override
+  public abstract void close();
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStubSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStubSettings.java
new file mode 100644
index 000000000..63c24a135
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/JobServiceStubSettings.java
@@ -0,0 +1,1306 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListBatchPredictionJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListCustomJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListDataLabelingJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GaxProperties;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.GrpcTransportChannel;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.grpc.ProtoOperationTransformers;
+import com.google.api.gax.longrunning.OperationSnapshot;
+import com.google.api.gax.longrunning.OperationTimedPollAlgorithm;
+import com.google.api.gax.retrying.RetrySettings;
+import com.google.api.gax.rpc.ApiCallContext;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.PagedListDescriptor;
+import com.google.api.gax.rpc.PagedListResponseFactory;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.api.gax.rpc.StubSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.BatchPredictionJob;
+import com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.CancelCustomJobRequest;
+import com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.CreateCustomJobRequest;
+import com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.CustomJob;
+import com.google.cloud.aiplatform.v1.DataLabelingJob;
+import com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteCustomJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest;
+import com.google.cloud.aiplatform.v1.GetCustomJobRequest;
+import com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest;
+import com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest;
+import com.google.cloud.aiplatform.v1.HyperparameterTuningJob;
+import com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest;
+import com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse;
+import com.google.cloud.aiplatform.v1.ListCustomJobsRequest;
+import com.google.cloud.aiplatform.v1.ListCustomJobsResponse;
+import com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest;
+import com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse;
+import com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest;
+import com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse;
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+import org.threeten.bp.Duration;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link JobServiceStub}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of createCustomJob to 30 seconds:
+ *
+ * <pre>{@code
+ * JobServiceStubSettings.Builder jobServiceSettingsBuilder = JobServiceStubSettings.newBuilder();
+ * jobServiceSettingsBuilder
+ *     .createCustomJobSettings()
+ *     .setRetrySettings(
+ *         jobServiceSettingsBuilder
+ *             .createCustomJobSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * JobServiceStubSettings jobServiceSettings = jobServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class JobServiceStubSettings extends StubSettings<JobServiceStubSettings> {
+  /** The default scopes of the service. */
+  private static final ImmutableList<String> DEFAULT_SERVICE_SCOPES =
+      ImmutableList.<String>builder().add("https://www.googleapis.com/auth/cloud-platform").build();
+
+  private final UnaryCallSettings<CreateCustomJobRequest, CustomJob> createCustomJobSettings;
+  private final UnaryCallSettings<GetCustomJobRequest, CustomJob> getCustomJobSettings;
+  private final PagedCallSettings<
+          ListCustomJobsRequest, ListCustomJobsResponse, ListCustomJobsPagedResponse>
+      listCustomJobsSettings;
+  private final UnaryCallSettings<DeleteCustomJobRequest, Operation> deleteCustomJobSettings;
+  private final OperationCallSettings<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+      deleteCustomJobOperationSettings;
+  private final UnaryCallSettings<CancelCustomJobRequest, Empty> cancelCustomJobSettings;
+  private final UnaryCallSettings<CreateDataLabelingJobRequest, DataLabelingJob>
+      createDataLabelingJobSettings;
+  private final UnaryCallSettings<GetDataLabelingJobRequest, DataLabelingJob>
+      getDataLabelingJobSettings;
+  private final PagedCallSettings<
+          ListDataLabelingJobsRequest,
+          ListDataLabelingJobsResponse,
+          ListDataLabelingJobsPagedResponse>
+      listDataLabelingJobsSettings;
+  private final UnaryCallSettings<DeleteDataLabelingJobRequest, Operation>
+      deleteDataLabelingJobSettings;
+  private final OperationCallSettings<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+      deleteDataLabelingJobOperationSettings;
+  private final UnaryCallSettings<CancelDataLabelingJobRequest, Empty>
+      cancelDataLabelingJobSettings;
+  private final UnaryCallSettings<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      createHyperparameterTuningJobSettings;
+  private final UnaryCallSettings<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      getHyperparameterTuningJobSettings;
+  private final PagedCallSettings<
+          ListHyperparameterTuningJobsRequest,
+          ListHyperparameterTuningJobsResponse,
+          ListHyperparameterTuningJobsPagedResponse>
+      listHyperparameterTuningJobsSettings;
+  private final UnaryCallSettings<DeleteHyperparameterTuningJobRequest, Operation>
+      deleteHyperparameterTuningJobSettings;
+  private final OperationCallSettings<
+          DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+      deleteHyperparameterTuningJobOperationSettings;
+  private final UnaryCallSettings<CancelHyperparameterTuningJobRequest, Empty>
+      cancelHyperparameterTuningJobSettings;
+  private final UnaryCallSettings<CreateBatchPredictionJobRequest, BatchPredictionJob>
+      createBatchPredictionJobSettings;
+  private final UnaryCallSettings<GetBatchPredictionJobRequest, BatchPredictionJob>
+      getBatchPredictionJobSettings;
+  private final PagedCallSettings<
+          ListBatchPredictionJobsRequest,
+          ListBatchPredictionJobsResponse,
+          ListBatchPredictionJobsPagedResponse>
+      listBatchPredictionJobsSettings;
+  private final UnaryCallSettings<DeleteBatchPredictionJobRequest, Operation>
+      deleteBatchPredictionJobSettings;
+  private final OperationCallSettings<
+          DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+      deleteBatchPredictionJobOperationSettings;
+  private final UnaryCallSettings<CancelBatchPredictionJobRequest, Empty>
+      cancelBatchPredictionJobSettings;
+
+  private static final PagedListDescriptor<ListCustomJobsRequest, ListCustomJobsResponse, CustomJob>
+      LIST_CUSTOM_JOBS_PAGE_STR_DESC =
+          new PagedListDescriptor<ListCustomJobsRequest, ListCustomJobsResponse, CustomJob>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListCustomJobsRequest injectToken(ListCustomJobsRequest payload, String token) {
+              return ListCustomJobsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListCustomJobsRequest injectPageSize(
+                ListCustomJobsRequest payload, int pageSize) {
+              return ListCustomJobsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListCustomJobsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListCustomJobsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<CustomJob> extractResources(ListCustomJobsResponse payload) {
+              return payload.getCustomJobsList() == null
+                  ? ImmutableList.<CustomJob>of()
+                  : payload.getCustomJobsList();
+            }
+          };
+
+  private static final PagedListDescriptor<
+          ListDataLabelingJobsRequest, ListDataLabelingJobsResponse, DataLabelingJob>
+      LIST_DATA_LABELING_JOBS_PAGE_STR_DESC =
+          new PagedListDescriptor<
+              ListDataLabelingJobsRequest, ListDataLabelingJobsResponse, DataLabelingJob>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListDataLabelingJobsRequest injectToken(
+                ListDataLabelingJobsRequest payload, String token) {
+              return ListDataLabelingJobsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListDataLabelingJobsRequest injectPageSize(
+                ListDataLabelingJobsRequest payload, int pageSize) {
+              return ListDataLabelingJobsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListDataLabelingJobsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListDataLabelingJobsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<DataLabelingJob> extractResources(
+                ListDataLabelingJobsResponse payload) {
+              return payload.getDataLabelingJobsList() == null
+                  ? ImmutableList.<DataLabelingJob>of()
+                  : payload.getDataLabelingJobsList();
+            }
+          };
+
+  private static final PagedListDescriptor<
+          ListHyperparameterTuningJobsRequest,
+          ListHyperparameterTuningJobsResponse,
+          HyperparameterTuningJob>
+      LIST_HYPERPARAMETER_TUNING_JOBS_PAGE_STR_DESC =
+          new PagedListDescriptor<
+              ListHyperparameterTuningJobsRequest,
+              ListHyperparameterTuningJobsResponse,
+              HyperparameterTuningJob>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListHyperparameterTuningJobsRequest injectToken(
+                ListHyperparameterTuningJobsRequest payload, String token) {
+              return ListHyperparameterTuningJobsRequest.newBuilder(payload)
+                  .setPageToken(token)
+                  .build();
+            }
+
+            @Override
+            public ListHyperparameterTuningJobsRequest injectPageSize(
+                ListHyperparameterTuningJobsRequest payload, int pageSize) {
+              return ListHyperparameterTuningJobsRequest.newBuilder(payload)
+                  .setPageSize(pageSize)
+                  .build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListHyperparameterTuningJobsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListHyperparameterTuningJobsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<HyperparameterTuningJob> extractResources(
+                ListHyperparameterTuningJobsResponse payload) {
+              return payload.getHyperparameterTuningJobsList() == null
+                  ? ImmutableList.<HyperparameterTuningJob>of()
+                  : payload.getHyperparameterTuningJobsList();
+            }
+          };
+
+  private static final PagedListDescriptor<
+          ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse, BatchPredictionJob>
+      LIST_BATCH_PREDICTION_JOBS_PAGE_STR_DESC =
+          new PagedListDescriptor<
+              ListBatchPredictionJobsRequest,
+              ListBatchPredictionJobsResponse,
+              BatchPredictionJob>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListBatchPredictionJobsRequest injectToken(
+                ListBatchPredictionJobsRequest payload, String token) {
+              return ListBatchPredictionJobsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListBatchPredictionJobsRequest injectPageSize(
+                ListBatchPredictionJobsRequest payload, int pageSize) {
+              return ListBatchPredictionJobsRequest.newBuilder(payload)
+                  .setPageSize(pageSize)
+                  .build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListBatchPredictionJobsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListBatchPredictionJobsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<BatchPredictionJob> extractResources(
+                ListBatchPredictionJobsResponse payload) {
+              return payload.getBatchPredictionJobsList() == null
+                  ? ImmutableList.<BatchPredictionJob>of()
+                  : payload.getBatchPredictionJobsList();
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListCustomJobsRequest, ListCustomJobsResponse, ListCustomJobsPagedResponse>
+      LIST_CUSTOM_JOBS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListCustomJobsRequest, ListCustomJobsResponse, ListCustomJobsPagedResponse>() {
+            @Override
+            public ApiFuture<ListCustomJobsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListCustomJobsRequest, ListCustomJobsResponse> callable,
+                ListCustomJobsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListCustomJobsResponse> futureResponse) {
+              PageContext<ListCustomJobsRequest, ListCustomJobsResponse, CustomJob> pageContext =
+                  PageContext.create(callable, LIST_CUSTOM_JOBS_PAGE_STR_DESC, request, context);
+              return ListCustomJobsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListDataLabelingJobsRequest,
+          ListDataLabelingJobsResponse,
+          ListDataLabelingJobsPagedResponse>
+      LIST_DATA_LABELING_JOBS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListDataLabelingJobsRequest,
+              ListDataLabelingJobsResponse,
+              ListDataLabelingJobsPagedResponse>() {
+            @Override
+            public ApiFuture<ListDataLabelingJobsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse> callable,
+                ListDataLabelingJobsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListDataLabelingJobsResponse> futureResponse) {
+              PageContext<
+                      ListDataLabelingJobsRequest, ListDataLabelingJobsResponse, DataLabelingJob>
+                  pageContext =
+                      PageContext.create(
+                          callable, LIST_DATA_LABELING_JOBS_PAGE_STR_DESC, request, context);
+              return ListDataLabelingJobsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListHyperparameterTuningJobsRequest,
+          ListHyperparameterTuningJobsResponse,
+          ListHyperparameterTuningJobsPagedResponse>
+      LIST_HYPERPARAMETER_TUNING_JOBS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListHyperparameterTuningJobsRequest,
+              ListHyperparameterTuningJobsResponse,
+              ListHyperparameterTuningJobsPagedResponse>() {
+            @Override
+            public ApiFuture<ListHyperparameterTuningJobsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<
+                        ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
+                    callable,
+                ListHyperparameterTuningJobsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListHyperparameterTuningJobsResponse> futureResponse) {
+              PageContext<
+                      ListHyperparameterTuningJobsRequest,
+                      ListHyperparameterTuningJobsResponse,
+                      HyperparameterTuningJob>
+                  pageContext =
+                      PageContext.create(
+                          callable,
+                          LIST_HYPERPARAMETER_TUNING_JOBS_PAGE_STR_DESC,
+                          request,
+                          context);
+              return ListHyperparameterTuningJobsPagedResponse.createAsync(
+                  pageContext, futureResponse);
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListBatchPredictionJobsRequest,
+          ListBatchPredictionJobsResponse,
+          ListBatchPredictionJobsPagedResponse>
+      LIST_BATCH_PREDICTION_JOBS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListBatchPredictionJobsRequest,
+              ListBatchPredictionJobsResponse,
+              ListBatchPredictionJobsPagedResponse>() {
+            @Override
+            public ApiFuture<ListBatchPredictionJobsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
+                    callable,
+                ListBatchPredictionJobsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListBatchPredictionJobsResponse> futureResponse) {
+              PageContext<
+                      ListBatchPredictionJobsRequest,
+                      ListBatchPredictionJobsResponse,
+                      BatchPredictionJob>
+                  pageContext =
+                      PageContext.create(
+                          callable, LIST_BATCH_PREDICTION_JOBS_PAGE_STR_DESC, request, context);
+              return ListBatchPredictionJobsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  /** Returns the object with the settings used for calls to createCustomJob. */
+  public UnaryCallSettings<CreateCustomJobRequest, CustomJob> createCustomJobSettings() {
+    return createCustomJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getCustomJob. */
+  public UnaryCallSettings<GetCustomJobRequest, CustomJob> getCustomJobSettings() {
+    return getCustomJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listCustomJobs. */
+  public PagedCallSettings<
+          ListCustomJobsRequest, ListCustomJobsResponse, ListCustomJobsPagedResponse>
+      listCustomJobsSettings() {
+    return listCustomJobsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteCustomJob. */
+  public UnaryCallSettings<DeleteCustomJobRequest, Operation> deleteCustomJobSettings() {
+    return deleteCustomJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteCustomJob. */
+  public OperationCallSettings<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+      deleteCustomJobOperationSettings() {
+    return deleteCustomJobOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to cancelCustomJob. */
+  public UnaryCallSettings<CancelCustomJobRequest, Empty> cancelCustomJobSettings() {
+    return cancelCustomJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to createDataLabelingJob. */
+  public UnaryCallSettings<CreateDataLabelingJobRequest, DataLabelingJob>
+      createDataLabelingJobSettings() {
+    return createDataLabelingJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getDataLabelingJob. */
+  public UnaryCallSettings<GetDataLabelingJobRequest, DataLabelingJob>
+      getDataLabelingJobSettings() {
+    return getDataLabelingJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listDataLabelingJobs. */
+  public PagedCallSettings<
+          ListDataLabelingJobsRequest,
+          ListDataLabelingJobsResponse,
+          ListDataLabelingJobsPagedResponse>
+      listDataLabelingJobsSettings() {
+    return listDataLabelingJobsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteDataLabelingJob. */
+  public UnaryCallSettings<DeleteDataLabelingJobRequest, Operation>
+      deleteDataLabelingJobSettings() {
+    return deleteDataLabelingJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteDataLabelingJob. */
+  public OperationCallSettings<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+      deleteDataLabelingJobOperationSettings() {
+    return deleteDataLabelingJobOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to cancelDataLabelingJob. */
+  public UnaryCallSettings<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobSettings() {
+    return cancelDataLabelingJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to createHyperparameterTuningJob. */
+  public UnaryCallSettings<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      createHyperparameterTuningJobSettings() {
+    return createHyperparameterTuningJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getHyperparameterTuningJob. */
+  public UnaryCallSettings<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+      getHyperparameterTuningJobSettings() {
+    return getHyperparameterTuningJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listHyperparameterTuningJobs. */
+  public PagedCallSettings<
+          ListHyperparameterTuningJobsRequest,
+          ListHyperparameterTuningJobsResponse,
+          ListHyperparameterTuningJobsPagedResponse>
+      listHyperparameterTuningJobsSettings() {
+    return listHyperparameterTuningJobsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteHyperparameterTuningJob. */
+  public UnaryCallSettings<DeleteHyperparameterTuningJobRequest, Operation>
+      deleteHyperparameterTuningJobSettings() {
+    return deleteHyperparameterTuningJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteHyperparameterTuningJob. */
+  public OperationCallSettings<DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+      deleteHyperparameterTuningJobOperationSettings() {
+    return deleteHyperparameterTuningJobOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to cancelHyperparameterTuningJob. */
+  public UnaryCallSettings<CancelHyperparameterTuningJobRequest, Empty>
+      cancelHyperparameterTuningJobSettings() {
+    return cancelHyperparameterTuningJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to createBatchPredictionJob. */
+  public UnaryCallSettings<CreateBatchPredictionJobRequest, BatchPredictionJob>
+      createBatchPredictionJobSettings() {
+    return createBatchPredictionJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getBatchPredictionJob. */
+  public UnaryCallSettings<GetBatchPredictionJobRequest, BatchPredictionJob>
+      getBatchPredictionJobSettings() {
+    return getBatchPredictionJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listBatchPredictionJobs. */
+  public PagedCallSettings<
+          ListBatchPredictionJobsRequest,
+          ListBatchPredictionJobsResponse,
+          ListBatchPredictionJobsPagedResponse>
+      listBatchPredictionJobsSettings() {
+    return listBatchPredictionJobsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteBatchPredictionJob. */
+  public UnaryCallSettings<DeleteBatchPredictionJobRequest, Operation>
+      deleteBatchPredictionJobSettings() {
+    return deleteBatchPredictionJobSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteBatchPredictionJob. */
+  public OperationCallSettings<DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+      deleteBatchPredictionJobOperationSettings() {
+    return deleteBatchPredictionJobOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to cancelBatchPredictionJob. */
+  public UnaryCallSettings<CancelBatchPredictionJobRequest, Empty>
+      cancelBatchPredictionJobSettings() {
+    return cancelBatchPredictionJobSettings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public JobServiceStub createStub() throws IOException {
+    if (getTransportChannelProvider()
+        .getTransportName()
+        .equals(GrpcTransportChannel.getGrpcTransportName())) {
+      return GrpcJobServiceStub.create(this);
+    }
+    throw new UnsupportedOperationException(
+        String.format(
+            "Transport not supported: %s", getTransportChannelProvider().getTransportName()));
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return InstantiatingExecutorProvider.newBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return "aiplatform.googleapis.com:443";
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DEFAULT_SERVICE_SCOPES;
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES);
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return InstantiatingGrpcChannelProvider.newBuilder()
+        .setMaxInboundMessageSize(Integer.MAX_VALUE);
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return defaultGrpcTransportProviderBuilder().build();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ApiClientHeaderProvider.newBuilder()
+        .setGeneratedLibToken(
+            "gapic", GaxProperties.getLibraryVersion(JobServiceStubSettings.class))
+        .setTransportToken(
+            GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion());
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected JobServiceStubSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+
+    createCustomJobSettings = settingsBuilder.createCustomJobSettings().build();
+    getCustomJobSettings = settingsBuilder.getCustomJobSettings().build();
+    listCustomJobsSettings = settingsBuilder.listCustomJobsSettings().build();
+    deleteCustomJobSettings = settingsBuilder.deleteCustomJobSettings().build();
+    deleteCustomJobOperationSettings = settingsBuilder.deleteCustomJobOperationSettings().build();
+    cancelCustomJobSettings = settingsBuilder.cancelCustomJobSettings().build();
+    createDataLabelingJobSettings = settingsBuilder.createDataLabelingJobSettings().build();
+    getDataLabelingJobSettings = settingsBuilder.getDataLabelingJobSettings().build();
+    listDataLabelingJobsSettings = settingsBuilder.listDataLabelingJobsSettings().build();
+    deleteDataLabelingJobSettings = settingsBuilder.deleteDataLabelingJobSettings().build();
+    deleteDataLabelingJobOperationSettings =
+        settingsBuilder.deleteDataLabelingJobOperationSettings().build();
+    cancelDataLabelingJobSettings = settingsBuilder.cancelDataLabelingJobSettings().build();
+    createHyperparameterTuningJobSettings =
+        settingsBuilder.createHyperparameterTuningJobSettings().build();
+    getHyperparameterTuningJobSettings =
+        settingsBuilder.getHyperparameterTuningJobSettings().build();
+    listHyperparameterTuningJobsSettings =
+        settingsBuilder.listHyperparameterTuningJobsSettings().build();
+    deleteHyperparameterTuningJobSettings =
+        settingsBuilder.deleteHyperparameterTuningJobSettings().build();
+    deleteHyperparameterTuningJobOperationSettings =
+        settingsBuilder.deleteHyperparameterTuningJobOperationSettings().build();
+    cancelHyperparameterTuningJobSettings =
+        settingsBuilder.cancelHyperparameterTuningJobSettings().build();
+    createBatchPredictionJobSettings = settingsBuilder.createBatchPredictionJobSettings().build();
+    getBatchPredictionJobSettings = settingsBuilder.getBatchPredictionJobSettings().build();
+    listBatchPredictionJobsSettings = settingsBuilder.listBatchPredictionJobsSettings().build();
+    deleteBatchPredictionJobSettings = settingsBuilder.deleteBatchPredictionJobSettings().build();
+    deleteBatchPredictionJobOperationSettings =
+        settingsBuilder.deleteBatchPredictionJobOperationSettings().build();
+    cancelBatchPredictionJobSettings = settingsBuilder.cancelBatchPredictionJobSettings().build();
+  }
+
+  /** Builder for JobServiceStubSettings. */
+  public static class Builder extends StubSettings.Builder<JobServiceStubSettings, Builder> {
+    private final ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders;
+    private final UnaryCallSettings.Builder<CreateCustomJobRequest, CustomJob>
+        createCustomJobSettings;
+    private final UnaryCallSettings.Builder<GetCustomJobRequest, CustomJob> getCustomJobSettings;
+    private final PagedCallSettings.Builder<
+            ListCustomJobsRequest, ListCustomJobsResponse, ListCustomJobsPagedResponse>
+        listCustomJobsSettings;
+    private final UnaryCallSettings.Builder<DeleteCustomJobRequest, Operation>
+        deleteCustomJobSettings;
+    private final OperationCallSettings.Builder<
+            DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+        deleteCustomJobOperationSettings;
+    private final UnaryCallSettings.Builder<CancelCustomJobRequest, Empty> cancelCustomJobSettings;
+    private final UnaryCallSettings.Builder<CreateDataLabelingJobRequest, DataLabelingJob>
+        createDataLabelingJobSettings;
+    private final UnaryCallSettings.Builder<GetDataLabelingJobRequest, DataLabelingJob>
+        getDataLabelingJobSettings;
+    private final PagedCallSettings.Builder<
+            ListDataLabelingJobsRequest,
+            ListDataLabelingJobsResponse,
+            ListDataLabelingJobsPagedResponse>
+        listDataLabelingJobsSettings;
+    private final UnaryCallSettings.Builder<DeleteDataLabelingJobRequest, Operation>
+        deleteDataLabelingJobSettings;
+    private final OperationCallSettings.Builder<
+            DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+        deleteDataLabelingJobOperationSettings;
+    private final UnaryCallSettings.Builder<CancelDataLabelingJobRequest, Empty>
+        cancelDataLabelingJobSettings;
+    private final UnaryCallSettings.Builder<
+            CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+        createHyperparameterTuningJobSettings;
+    private final UnaryCallSettings.Builder<
+            GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+        getHyperparameterTuningJobSettings;
+    private final PagedCallSettings.Builder<
+            ListHyperparameterTuningJobsRequest,
+            ListHyperparameterTuningJobsResponse,
+            ListHyperparameterTuningJobsPagedResponse>
+        listHyperparameterTuningJobsSettings;
+    private final UnaryCallSettings.Builder<DeleteHyperparameterTuningJobRequest, Operation>
+        deleteHyperparameterTuningJobSettings;
+    private final OperationCallSettings.Builder<
+            DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+        deleteHyperparameterTuningJobOperationSettings;
+    private final UnaryCallSettings.Builder<CancelHyperparameterTuningJobRequest, Empty>
+        cancelHyperparameterTuningJobSettings;
+    private final UnaryCallSettings.Builder<CreateBatchPredictionJobRequest, BatchPredictionJob>
+        createBatchPredictionJobSettings;
+    private final UnaryCallSettings.Builder<GetBatchPredictionJobRequest, BatchPredictionJob>
+        getBatchPredictionJobSettings;
+    private final PagedCallSettings.Builder<
+            ListBatchPredictionJobsRequest,
+            ListBatchPredictionJobsResponse,
+            ListBatchPredictionJobsPagedResponse>
+        listBatchPredictionJobsSettings;
+    private final UnaryCallSettings.Builder<DeleteBatchPredictionJobRequest, Operation>
+        deleteBatchPredictionJobSettings;
+    private final OperationCallSettings.Builder<
+            DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+        deleteBatchPredictionJobOperationSettings;
+    private final UnaryCallSettings.Builder<CancelBatchPredictionJobRequest, Empty>
+        cancelBatchPredictionJobSettings;
+    private static final ImmutableMap<String, ImmutableSet<StatusCode.Code>>
+        RETRYABLE_CODE_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, ImmutableSet<StatusCode.Code>> definitions =
+          ImmutableMap.builder();
+      definitions.put("no_retry_codes", ImmutableSet.copyOf(Lists.<StatusCode.Code>newArrayList()));
+      RETRYABLE_CODE_DEFINITIONS = definitions.build();
+    }
+
+    private static final ImmutableMap<String, RetrySettings> RETRY_PARAM_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, RetrySettings> definitions = ImmutableMap.builder();
+      RetrySettings settings = null;
+      settings = RetrySettings.newBuilder().setRpcTimeoutMultiplier(1.0).build();
+      definitions.put("no_retry_params", settings);
+      RETRY_PARAM_DEFINITIONS = definitions.build();
+    }
+
+    protected Builder() {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(clientContext);
+
+      createCustomJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      getCustomJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listCustomJobsSettings = PagedCallSettings.newBuilder(LIST_CUSTOM_JOBS_PAGE_STR_FACT);
+      deleteCustomJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteCustomJobOperationSettings = OperationCallSettings.newBuilder();
+      cancelCustomJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      createDataLabelingJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      getDataLabelingJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listDataLabelingJobsSettings =
+          PagedCallSettings.newBuilder(LIST_DATA_LABELING_JOBS_PAGE_STR_FACT);
+      deleteDataLabelingJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteDataLabelingJobOperationSettings = OperationCallSettings.newBuilder();
+      cancelDataLabelingJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      createHyperparameterTuningJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      getHyperparameterTuningJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listHyperparameterTuningJobsSettings =
+          PagedCallSettings.newBuilder(LIST_HYPERPARAMETER_TUNING_JOBS_PAGE_STR_FACT);
+      deleteHyperparameterTuningJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteHyperparameterTuningJobOperationSettings = OperationCallSettings.newBuilder();
+      cancelHyperparameterTuningJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      createBatchPredictionJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      getBatchPredictionJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listBatchPredictionJobsSettings =
+          PagedCallSettings.newBuilder(LIST_BATCH_PREDICTION_JOBS_PAGE_STR_FACT);
+      deleteBatchPredictionJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteBatchPredictionJobOperationSettings = OperationCallSettings.newBuilder();
+      cancelBatchPredictionJobSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createCustomJobSettings,
+              getCustomJobSettings,
+              listCustomJobsSettings,
+              deleteCustomJobSettings,
+              cancelCustomJobSettings,
+              createDataLabelingJobSettings,
+              getDataLabelingJobSettings,
+              listDataLabelingJobsSettings,
+              deleteDataLabelingJobSettings,
+              cancelDataLabelingJobSettings,
+              createHyperparameterTuningJobSettings,
+              getHyperparameterTuningJobSettings,
+              listHyperparameterTuningJobsSettings,
+              deleteHyperparameterTuningJobSettings,
+              cancelHyperparameterTuningJobSettings,
+              createBatchPredictionJobSettings,
+              getBatchPredictionJobSettings,
+              listBatchPredictionJobsSettings,
+              deleteBatchPredictionJobSettings,
+              cancelBatchPredictionJobSettings);
+      initDefaults(this);
+    }
+
+    protected Builder(JobServiceStubSettings settings) {
+      super(settings);
+
+      createCustomJobSettings = settings.createCustomJobSettings.toBuilder();
+      getCustomJobSettings = settings.getCustomJobSettings.toBuilder();
+      listCustomJobsSettings = settings.listCustomJobsSettings.toBuilder();
+      deleteCustomJobSettings = settings.deleteCustomJobSettings.toBuilder();
+      deleteCustomJobOperationSettings = settings.deleteCustomJobOperationSettings.toBuilder();
+      cancelCustomJobSettings = settings.cancelCustomJobSettings.toBuilder();
+      createDataLabelingJobSettings = settings.createDataLabelingJobSettings.toBuilder();
+      getDataLabelingJobSettings = settings.getDataLabelingJobSettings.toBuilder();
+      listDataLabelingJobsSettings = settings.listDataLabelingJobsSettings.toBuilder();
+      deleteDataLabelingJobSettings = settings.deleteDataLabelingJobSettings.toBuilder();
+      deleteDataLabelingJobOperationSettings =
+          settings.deleteDataLabelingJobOperationSettings.toBuilder();
+      cancelDataLabelingJobSettings = settings.cancelDataLabelingJobSettings.toBuilder();
+      createHyperparameterTuningJobSettings =
+          settings.createHyperparameterTuningJobSettings.toBuilder();
+      getHyperparameterTuningJobSettings = settings.getHyperparameterTuningJobSettings.toBuilder();
+      listHyperparameterTuningJobsSettings =
+          settings.listHyperparameterTuningJobsSettings.toBuilder();
+      deleteHyperparameterTuningJobSettings =
+          settings.deleteHyperparameterTuningJobSettings.toBuilder();
+      deleteHyperparameterTuningJobOperationSettings =
+          settings.deleteHyperparameterTuningJobOperationSettings.toBuilder();
+      cancelHyperparameterTuningJobSettings =
+          settings.cancelHyperparameterTuningJobSettings.toBuilder();
+      createBatchPredictionJobSettings = settings.createBatchPredictionJobSettings.toBuilder();
+      getBatchPredictionJobSettings = settings.getBatchPredictionJobSettings.toBuilder();
+      listBatchPredictionJobsSettings = settings.listBatchPredictionJobsSettings.toBuilder();
+      deleteBatchPredictionJobSettings = settings.deleteBatchPredictionJobSettings.toBuilder();
+      deleteBatchPredictionJobOperationSettings =
+          settings.deleteBatchPredictionJobOperationSettings.toBuilder();
+      cancelBatchPredictionJobSettings = settings.cancelBatchPredictionJobSettings.toBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createCustomJobSettings,
+              getCustomJobSettings,
+              listCustomJobsSettings,
+              deleteCustomJobSettings,
+              cancelCustomJobSettings,
+              createDataLabelingJobSettings,
+              getDataLabelingJobSettings,
+              listDataLabelingJobsSettings,
+              deleteDataLabelingJobSettings,
+              cancelDataLabelingJobSettings,
+              createHyperparameterTuningJobSettings,
+              getHyperparameterTuningJobSettings,
+              listHyperparameterTuningJobsSettings,
+              deleteHyperparameterTuningJobSettings,
+              cancelHyperparameterTuningJobSettings,
+              createBatchPredictionJobSettings,
+              getBatchPredictionJobSettings,
+              listBatchPredictionJobsSettings,
+              deleteBatchPredictionJobSettings,
+              cancelBatchPredictionJobSettings);
+    }
+
+    private static Builder createDefault() {
+      Builder builder = new Builder(((ClientContext) null));
+
+      builder.setTransportChannelProvider(defaultTransportChannelProvider());
+      builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build());
+      builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build());
+      builder.setEndpoint(getDefaultEndpoint());
+
+      return initDefaults(builder);
+    }
+
+    private static Builder initDefaults(Builder builder) {
+      builder
+          .createCustomJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getCustomJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listCustomJobsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteCustomJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .cancelCustomJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .createDataLabelingJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getDataLabelingJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listDataLabelingJobsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteDataLabelingJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .cancelDataLabelingJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .createHyperparameterTuningJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getHyperparameterTuningJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listHyperparameterTuningJobsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteHyperparameterTuningJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .cancelHyperparameterTuningJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .createBatchPredictionJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getBatchPredictionJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listBatchPredictionJobsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteBatchPredictionJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .cancelBatchPredictionJobSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteCustomJobOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<DeleteCustomJobRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .deleteDataLabelingJobOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<DeleteDataLabelingJobRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .deleteHyperparameterTuningJobOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<DeleteHyperparameterTuningJobRequest, OperationSnapshot>
+                      newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .deleteBatchPredictionJobOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<DeleteBatchPredictionJobRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      return builder;
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater);
+      return this;
+    }
+
+    public ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders() {
+      return unaryMethodSettingsBuilders;
+    }
+
+    /** Returns the builder for the settings used for calls to createCustomJob. */
+    public UnaryCallSettings.Builder<CreateCustomJobRequest, CustomJob> createCustomJobSettings() {
+      return createCustomJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getCustomJob. */
+    public UnaryCallSettings.Builder<GetCustomJobRequest, CustomJob> getCustomJobSettings() {
+      return getCustomJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listCustomJobs. */
+    public PagedCallSettings.Builder<
+            ListCustomJobsRequest, ListCustomJobsResponse, ListCustomJobsPagedResponse>
+        listCustomJobsSettings() {
+      return listCustomJobsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteCustomJob. */
+    public UnaryCallSettings.Builder<DeleteCustomJobRequest, Operation> deleteCustomJobSettings() {
+      return deleteCustomJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteCustomJob. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
+        deleteCustomJobOperationSettings() {
+      return deleteCustomJobOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to cancelCustomJob. */
+    public UnaryCallSettings.Builder<CancelCustomJobRequest, Empty> cancelCustomJobSettings() {
+      return cancelCustomJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to createDataLabelingJob. */
+    public UnaryCallSettings.Builder<CreateDataLabelingJobRequest, DataLabelingJob>
+        createDataLabelingJobSettings() {
+      return createDataLabelingJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getDataLabelingJob. */
+    public UnaryCallSettings.Builder<GetDataLabelingJobRequest, DataLabelingJob>
+        getDataLabelingJobSettings() {
+      return getDataLabelingJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listDataLabelingJobs. */
+    public PagedCallSettings.Builder<
+            ListDataLabelingJobsRequest,
+            ListDataLabelingJobsResponse,
+            ListDataLabelingJobsPagedResponse>
+        listDataLabelingJobsSettings() {
+      return listDataLabelingJobsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteDataLabelingJob. */
+    public UnaryCallSettings.Builder<DeleteDataLabelingJobRequest, Operation>
+        deleteDataLabelingJobSettings() {
+      return deleteDataLabelingJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteDataLabelingJob. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
+        deleteDataLabelingJobOperationSettings() {
+      return deleteDataLabelingJobOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to cancelDataLabelingJob. */
+    public UnaryCallSettings.Builder<CancelDataLabelingJobRequest, Empty>
+        cancelDataLabelingJobSettings() {
+      return cancelDataLabelingJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to createHyperparameterTuningJob. */
+    public UnaryCallSettings.Builder<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
+        createHyperparameterTuningJobSettings() {
+      return createHyperparameterTuningJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getHyperparameterTuningJob. */
+    public UnaryCallSettings.Builder<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
+        getHyperparameterTuningJobSettings() {
+      return getHyperparameterTuningJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listHyperparameterTuningJobs. */
+    public PagedCallSettings.Builder<
+            ListHyperparameterTuningJobsRequest,
+            ListHyperparameterTuningJobsResponse,
+            ListHyperparameterTuningJobsPagedResponse>
+        listHyperparameterTuningJobsSettings() {
+      return listHyperparameterTuningJobsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteHyperparameterTuningJob. */
+    public UnaryCallSettings.Builder<DeleteHyperparameterTuningJobRequest, Operation>
+        deleteHyperparameterTuningJobSettings() {
+      return deleteHyperparameterTuningJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteHyperparameterTuningJob. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
+        deleteHyperparameterTuningJobOperationSettings() {
+      return deleteHyperparameterTuningJobOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to cancelHyperparameterTuningJob. */
+    public UnaryCallSettings.Builder<CancelHyperparameterTuningJobRequest, Empty>
+        cancelHyperparameterTuningJobSettings() {
+      return cancelHyperparameterTuningJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to createBatchPredictionJob. */
+    public UnaryCallSettings.Builder<CreateBatchPredictionJobRequest, BatchPredictionJob>
+        createBatchPredictionJobSettings() {
+      return createBatchPredictionJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getBatchPredictionJob. */
+    public UnaryCallSettings.Builder<GetBatchPredictionJobRequest, BatchPredictionJob>
+        getBatchPredictionJobSettings() {
+      return getBatchPredictionJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listBatchPredictionJobs. */
+    public PagedCallSettings.Builder<
+            ListBatchPredictionJobsRequest,
+            ListBatchPredictionJobsResponse,
+            ListBatchPredictionJobsPagedResponse>
+        listBatchPredictionJobsSettings() {
+      return listBatchPredictionJobsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteBatchPredictionJob. */
+    public UnaryCallSettings.Builder<DeleteBatchPredictionJobRequest, Operation>
+        deleteBatchPredictionJobSettings() {
+      return deleteBatchPredictionJobSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteBatchPredictionJob. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
+        deleteBatchPredictionJobOperationSettings() {
+      return deleteBatchPredictionJobOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to cancelBatchPredictionJob. */
+    public UnaryCallSettings.Builder<CancelBatchPredictionJobRequest, Empty>
+        cancelBatchPredictionJobSettings() {
+      return cancelBatchPredictionJobSettings;
+    }
+
+    @Override
+    public JobServiceStubSettings build() throws IOException {
+      return new JobServiceStubSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStub.java
new file mode 100644
index 000000000..5264e6ac9
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStub.java
@@ -0,0 +1,72 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse;
+import com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest;
+import com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Base stub class for the MigrationService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public abstract class MigrationServiceStub implements BackgroundResource {
+
+  public OperationsStub getOperationsStub() {
+    throw new UnsupportedOperationException("Not implemented: getOperationsStub()");
+  }
+
+  public UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesPagedResponse>
+      searchMigratableResourcesPagedCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: searchMigratableResourcesPagedCallable()");
+  }
+
+  public UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
+      searchMigratableResourcesCallable() {
+    throw new UnsupportedOperationException("Not implemented: searchMigratableResourcesCallable()");
+  }
+
+  public OperationCallable<
+          BatchMigrateResourcesRequest,
+          BatchMigrateResourcesResponse,
+          BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesOperationCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: batchMigrateResourcesOperationCallable()");
+  }
+
+  public UnaryCallable<BatchMigrateResourcesRequest, Operation> batchMigrateResourcesCallable() {
+    throw new UnsupportedOperationException("Not implemented: batchMigrateResourcesCallable()");
+  }
+
+  @Override
+  public abstract void close();
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStubSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStubSettings.java
new file mode 100644
index 000000000..0cbac617c
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/MigrationServiceStubSettings.java
@@ -0,0 +1,452 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GaxProperties;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.GrpcTransportChannel;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.grpc.ProtoOperationTransformers;
+import com.google.api.gax.longrunning.OperationSnapshot;
+import com.google.api.gax.longrunning.OperationTimedPollAlgorithm;
+import com.google.api.gax.retrying.RetrySettings;
+import com.google.api.gax.rpc.ApiCallContext;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.PagedListDescriptor;
+import com.google.api.gax.rpc.PagedListResponseFactory;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.api.gax.rpc.StubSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest;
+import com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse;
+import com.google.cloud.aiplatform.v1.MigratableResource;
+import com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest;
+import com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse;
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+import org.threeten.bp.Duration;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link MigrationServiceStub}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of searchMigratableResources to 30 seconds:
+ *
+ * <pre>{@code
+ * MigrationServiceStubSettings.Builder migrationServiceSettingsBuilder =
+ *     MigrationServiceStubSettings.newBuilder();
+ * migrationServiceSettingsBuilder
+ *     .searchMigratableResourcesSettings()
+ *     .setRetrySettings(
+ *         migrationServiceSettingsBuilder
+ *             .searchMigratableResourcesSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * MigrationServiceStubSettings migrationServiceSettings = migrationServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class MigrationServiceStubSettings extends StubSettings<MigrationServiceStubSettings> {
+  /** The default scopes of the service. */
+  private static final ImmutableList<String> DEFAULT_SERVICE_SCOPES =
+      ImmutableList.<String>builder().add("https://www.googleapis.com/auth/cloud-platform").build();
+
+  private final PagedCallSettings<
+          SearchMigratableResourcesRequest,
+          SearchMigratableResourcesResponse,
+          SearchMigratableResourcesPagedResponse>
+      searchMigratableResourcesSettings;
+  private final UnaryCallSettings<BatchMigrateResourcesRequest, Operation>
+      batchMigrateResourcesSettings;
+  private final OperationCallSettings<
+          BatchMigrateResourcesRequest,
+          BatchMigrateResourcesResponse,
+          BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesOperationSettings;
+
+  private static final PagedListDescriptor<
+          SearchMigratableResourcesRequest, SearchMigratableResourcesResponse, MigratableResource>
+      SEARCH_MIGRATABLE_RESOURCES_PAGE_STR_DESC =
+          new PagedListDescriptor<
+              SearchMigratableResourcesRequest,
+              SearchMigratableResourcesResponse,
+              MigratableResource>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public SearchMigratableResourcesRequest injectToken(
+                SearchMigratableResourcesRequest payload, String token) {
+              return SearchMigratableResourcesRequest.newBuilder(payload)
+                  .setPageToken(token)
+                  .build();
+            }
+
+            @Override
+            public SearchMigratableResourcesRequest injectPageSize(
+                SearchMigratableResourcesRequest payload, int pageSize) {
+              return SearchMigratableResourcesRequest.newBuilder(payload)
+                  .setPageSize(pageSize)
+                  .build();
+            }
+
+            @Override
+            public Integer extractPageSize(SearchMigratableResourcesRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(SearchMigratableResourcesResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<MigratableResource> extractResources(
+                SearchMigratableResourcesResponse payload) {
+              return payload.getMigratableResourcesList() == null
+                  ? ImmutableList.<MigratableResource>of()
+                  : payload.getMigratableResourcesList();
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          SearchMigratableResourcesRequest,
+          SearchMigratableResourcesResponse,
+          SearchMigratableResourcesPagedResponse>
+      SEARCH_MIGRATABLE_RESOURCES_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              SearchMigratableResourcesRequest,
+              SearchMigratableResourcesResponse,
+              SearchMigratableResourcesPagedResponse>() {
+            @Override
+            public ApiFuture<SearchMigratableResourcesPagedResponse> getFuturePagedResponse(
+                UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
+                    callable,
+                SearchMigratableResourcesRequest request,
+                ApiCallContext context,
+                ApiFuture<SearchMigratableResourcesResponse> futureResponse) {
+              PageContext<
+                      SearchMigratableResourcesRequest,
+                      SearchMigratableResourcesResponse,
+                      MigratableResource>
+                  pageContext =
+                      PageContext.create(
+                          callable, SEARCH_MIGRATABLE_RESOURCES_PAGE_STR_DESC, request, context);
+              return SearchMigratableResourcesPagedResponse.createAsync(
+                  pageContext, futureResponse);
+            }
+          };
+
+  /** Returns the object with the settings used for calls to searchMigratableResources. */
+  public PagedCallSettings<
+          SearchMigratableResourcesRequest,
+          SearchMigratableResourcesResponse,
+          SearchMigratableResourcesPagedResponse>
+      searchMigratableResourcesSettings() {
+    return searchMigratableResourcesSettings;
+  }
+
+  /** Returns the object with the settings used for calls to batchMigrateResources. */
+  public UnaryCallSettings<BatchMigrateResourcesRequest, Operation>
+      batchMigrateResourcesSettings() {
+    return batchMigrateResourcesSettings;
+  }
+
+  /** Returns the object with the settings used for calls to batchMigrateResources. */
+  public OperationCallSettings<
+          BatchMigrateResourcesRequest,
+          BatchMigrateResourcesResponse,
+          BatchMigrateResourcesOperationMetadata>
+      batchMigrateResourcesOperationSettings() {
+    return batchMigrateResourcesOperationSettings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public MigrationServiceStub createStub() throws IOException {
+    if (getTransportChannelProvider()
+        .getTransportName()
+        .equals(GrpcTransportChannel.getGrpcTransportName())) {
+      return GrpcMigrationServiceStub.create(this);
+    }
+    throw new UnsupportedOperationException(
+        String.format(
+            "Transport not supported: %s", getTransportChannelProvider().getTransportName()));
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return InstantiatingExecutorProvider.newBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return "aiplatform.googleapis.com:443";
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DEFAULT_SERVICE_SCOPES;
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES);
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return InstantiatingGrpcChannelProvider.newBuilder()
+        .setMaxInboundMessageSize(Integer.MAX_VALUE);
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return defaultGrpcTransportProviderBuilder().build();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ApiClientHeaderProvider.newBuilder()
+        .setGeneratedLibToken(
+            "gapic", GaxProperties.getLibraryVersion(MigrationServiceStubSettings.class))
+        .setTransportToken(
+            GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion());
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected MigrationServiceStubSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+
+    searchMigratableResourcesSettings = settingsBuilder.searchMigratableResourcesSettings().build();
+    batchMigrateResourcesSettings = settingsBuilder.batchMigrateResourcesSettings().build();
+    batchMigrateResourcesOperationSettings =
+        settingsBuilder.batchMigrateResourcesOperationSettings().build();
+  }
+
+  /** Builder for MigrationServiceStubSettings. */
+  public static class Builder extends StubSettings.Builder<MigrationServiceStubSettings, Builder> {
+    private final ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders;
+    private final PagedCallSettings.Builder<
+            SearchMigratableResourcesRequest,
+            SearchMigratableResourcesResponse,
+            SearchMigratableResourcesPagedResponse>
+        searchMigratableResourcesSettings;
+    private final UnaryCallSettings.Builder<BatchMigrateResourcesRequest, Operation>
+        batchMigrateResourcesSettings;
+    private final OperationCallSettings.Builder<
+            BatchMigrateResourcesRequest,
+            BatchMigrateResourcesResponse,
+            BatchMigrateResourcesOperationMetadata>
+        batchMigrateResourcesOperationSettings;
+    private static final ImmutableMap<String, ImmutableSet<StatusCode.Code>>
+        RETRYABLE_CODE_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, ImmutableSet<StatusCode.Code>> definitions =
+          ImmutableMap.builder();
+      definitions.put("no_retry_codes", ImmutableSet.copyOf(Lists.<StatusCode.Code>newArrayList()));
+      RETRYABLE_CODE_DEFINITIONS = definitions.build();
+    }
+
+    private static final ImmutableMap<String, RetrySettings> RETRY_PARAM_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, RetrySettings> definitions = ImmutableMap.builder();
+      RetrySettings settings = null;
+      settings = RetrySettings.newBuilder().setRpcTimeoutMultiplier(1.0).build();
+      definitions.put("no_retry_params", settings);
+      RETRY_PARAM_DEFINITIONS = definitions.build();
+    }
+
+    protected Builder() {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(clientContext);
+
+      searchMigratableResourcesSettings =
+          PagedCallSettings.newBuilder(SEARCH_MIGRATABLE_RESOURCES_PAGE_STR_FACT);
+      batchMigrateResourcesSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      batchMigrateResourcesOperationSettings = OperationCallSettings.newBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              searchMigratableResourcesSettings, batchMigrateResourcesSettings);
+      initDefaults(this);
+    }
+
+    protected Builder(MigrationServiceStubSettings settings) {
+      super(settings);
+
+      searchMigratableResourcesSettings = settings.searchMigratableResourcesSettings.toBuilder();
+      batchMigrateResourcesSettings = settings.batchMigrateResourcesSettings.toBuilder();
+      batchMigrateResourcesOperationSettings =
+          settings.batchMigrateResourcesOperationSettings.toBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              searchMigratableResourcesSettings, batchMigrateResourcesSettings);
+    }
+
+    private static Builder createDefault() {
+      Builder builder = new Builder(((ClientContext) null));
+
+      builder.setTransportChannelProvider(defaultTransportChannelProvider());
+      builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build());
+      builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build());
+      builder.setEndpoint(getDefaultEndpoint());
+
+      return initDefaults(builder);
+    }
+
+    private static Builder initDefaults(Builder builder) {
+      builder
+          .searchMigratableResourcesSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .batchMigrateResourcesSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .batchMigrateResourcesOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<BatchMigrateResourcesRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(
+                  BatchMigrateResourcesResponse.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  BatchMigrateResourcesOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      return builder;
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater);
+      return this;
+    }
+
+    public ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders() {
+      return unaryMethodSettingsBuilders;
+    }
+
+    /** Returns the builder for the settings used for calls to searchMigratableResources. */
+    public PagedCallSettings.Builder<
+            SearchMigratableResourcesRequest,
+            SearchMigratableResourcesResponse,
+            SearchMigratableResourcesPagedResponse>
+        searchMigratableResourcesSettings() {
+      return searchMigratableResourcesSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to batchMigrateResources. */
+    public UnaryCallSettings.Builder<BatchMigrateResourcesRequest, Operation>
+        batchMigrateResourcesSettings() {
+      return batchMigrateResourcesSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to batchMigrateResources. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            BatchMigrateResourcesRequest,
+            BatchMigrateResourcesResponse,
+            BatchMigrateResourcesOperationMetadata>
+        batchMigrateResourcesOperationSettings() {
+      return batchMigrateResourcesOperationSettings;
+    }
+
+    @Override
+    public MigrationServiceStubSettings build() throws IOException {
+      return new MigrationServiceStubSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStub.java
new file mode 100644
index 000000000..78a3533f5
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStub.java
@@ -0,0 +1,140 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationSlicesPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.DeleteModelRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportModelRequest;
+import com.google.cloud.aiplatform.v1.ExportModelResponse;
+import com.google.cloud.aiplatform.v1.GetModelEvaluationRequest;
+import com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest;
+import com.google.cloud.aiplatform.v1.GetModelRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse;
+import com.google.cloud.aiplatform.v1.ListModelsRequest;
+import com.google.cloud.aiplatform.v1.ListModelsResponse;
+import com.google.cloud.aiplatform.v1.Model;
+import com.google.cloud.aiplatform.v1.ModelEvaluation;
+import com.google.cloud.aiplatform.v1.ModelEvaluationSlice;
+import com.google.cloud.aiplatform.v1.UpdateModelRequest;
+import com.google.cloud.aiplatform.v1.UploadModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.UploadModelRequest;
+import com.google.cloud.aiplatform.v1.UploadModelResponse;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import com.google.protobuf.Empty;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Base stub class for the ModelService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public abstract class ModelServiceStub implements BackgroundResource {
+
+  public OperationsStub getOperationsStub() {
+    throw new UnsupportedOperationException("Not implemented: getOperationsStub()");
+  }
+
+  public OperationCallable<UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+      uploadModelOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: uploadModelOperationCallable()");
+  }
+
+  public UnaryCallable<UploadModelRequest, Operation> uploadModelCallable() {
+    throw new UnsupportedOperationException("Not implemented: uploadModelCallable()");
+  }
+
+  public UnaryCallable<GetModelRequest, Model> getModelCallable() {
+    throw new UnsupportedOperationException("Not implemented: getModelCallable()");
+  }
+
+  public UnaryCallable<ListModelsRequest, ListModelsPagedResponse> listModelsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listModelsPagedCallable()");
+  }
+
+  public UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listModelsCallable()");
+  }
+
+  public UnaryCallable<UpdateModelRequest, Model> updateModelCallable() {
+    throw new UnsupportedOperationException("Not implemented: updateModelCallable()");
+  }
+
+  public OperationCallable<DeleteModelRequest, Empty, DeleteOperationMetadata>
+      deleteModelOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteModelOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteModelRequest, Operation> deleteModelCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteModelCallable()");
+  }
+
+  public OperationCallable<ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+      exportModelOperationCallable() {
+    throw new UnsupportedOperationException("Not implemented: exportModelOperationCallable()");
+  }
+
+  public UnaryCallable<ExportModelRequest, Operation> exportModelCallable() {
+    throw new UnsupportedOperationException("Not implemented: exportModelCallable()");
+  }
+
+  public UnaryCallable<GetModelEvaluationRequest, ModelEvaluation> getModelEvaluationCallable() {
+    throw new UnsupportedOperationException("Not implemented: getModelEvaluationCallable()");
+  }
+
+  public UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsPagedResponse>
+      listModelEvaluationsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listModelEvaluationsPagedCallable()");
+  }
+
+  public UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsResponse>
+      listModelEvaluationsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listModelEvaluationsCallable()");
+  }
+
+  public UnaryCallable<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+      getModelEvaluationSliceCallable() {
+    throw new UnsupportedOperationException("Not implemented: getModelEvaluationSliceCallable()");
+  }
+
+  public UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesPagedResponse>
+      listModelEvaluationSlicesPagedCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: listModelEvaluationSlicesPagedCallable()");
+  }
+
+  public UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
+      listModelEvaluationSlicesCallable() {
+    throw new UnsupportedOperationException("Not implemented: listModelEvaluationSlicesCallable()");
+  }
+
+  @Override
+  public abstract void close();
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStubSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStubSettings.java
new file mode 100644
index 000000000..acf8fbc1f
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/ModelServiceStubSettings.java
@@ -0,0 +1,873 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationSlicesPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GaxProperties;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.GrpcTransportChannel;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.grpc.ProtoOperationTransformers;
+import com.google.api.gax.longrunning.OperationSnapshot;
+import com.google.api.gax.longrunning.OperationTimedPollAlgorithm;
+import com.google.api.gax.retrying.RetrySettings;
+import com.google.api.gax.rpc.ApiCallContext;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.PagedListDescriptor;
+import com.google.api.gax.rpc.PagedListResponseFactory;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.api.gax.rpc.StubSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.DeleteModelRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.ExportModelRequest;
+import com.google.cloud.aiplatform.v1.ExportModelResponse;
+import com.google.cloud.aiplatform.v1.GetModelEvaluationRequest;
+import com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest;
+import com.google.cloud.aiplatform.v1.GetModelRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest;
+import com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse;
+import com.google.cloud.aiplatform.v1.ListModelsRequest;
+import com.google.cloud.aiplatform.v1.ListModelsResponse;
+import com.google.cloud.aiplatform.v1.Model;
+import com.google.cloud.aiplatform.v1.ModelEvaluation;
+import com.google.cloud.aiplatform.v1.ModelEvaluationSlice;
+import com.google.cloud.aiplatform.v1.UpdateModelRequest;
+import com.google.cloud.aiplatform.v1.UploadModelOperationMetadata;
+import com.google.cloud.aiplatform.v1.UploadModelRequest;
+import com.google.cloud.aiplatform.v1.UploadModelResponse;
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+import org.threeten.bp.Duration;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link ModelServiceStub}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of getModel to 30 seconds:
+ *
+ * <pre>{@code
+ * ModelServiceStubSettings.Builder modelServiceSettingsBuilder =
+ *     ModelServiceStubSettings.newBuilder();
+ * modelServiceSettingsBuilder
+ *     .getModelSettings()
+ *     .setRetrySettings(
+ *         modelServiceSettingsBuilder
+ *             .getModelSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * ModelServiceStubSettings modelServiceSettings = modelServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class ModelServiceStubSettings extends StubSettings<ModelServiceStubSettings> {
+  /** The default scopes of the service. */
+  private static final ImmutableList<String> DEFAULT_SERVICE_SCOPES =
+      ImmutableList.<String>builder().add("https://www.googleapis.com/auth/cloud-platform").build();
+
+  private final UnaryCallSettings<UploadModelRequest, Operation> uploadModelSettings;
+  private final OperationCallSettings<
+          UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+      uploadModelOperationSettings;
+  private final UnaryCallSettings<GetModelRequest, Model> getModelSettings;
+  private final PagedCallSettings<ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>
+      listModelsSettings;
+  private final UnaryCallSettings<UpdateModelRequest, Model> updateModelSettings;
+  private final UnaryCallSettings<DeleteModelRequest, Operation> deleteModelSettings;
+  private final OperationCallSettings<DeleteModelRequest, Empty, DeleteOperationMetadata>
+      deleteModelOperationSettings;
+  private final UnaryCallSettings<ExportModelRequest, Operation> exportModelSettings;
+  private final OperationCallSettings<
+          ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+      exportModelOperationSettings;
+  private final UnaryCallSettings<GetModelEvaluationRequest, ModelEvaluation>
+      getModelEvaluationSettings;
+  private final PagedCallSettings<
+          ListModelEvaluationsRequest,
+          ListModelEvaluationsResponse,
+          ListModelEvaluationsPagedResponse>
+      listModelEvaluationsSettings;
+  private final UnaryCallSettings<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+      getModelEvaluationSliceSettings;
+  private final PagedCallSettings<
+          ListModelEvaluationSlicesRequest,
+          ListModelEvaluationSlicesResponse,
+          ListModelEvaluationSlicesPagedResponse>
+      listModelEvaluationSlicesSettings;
+
+  private static final PagedListDescriptor<ListModelsRequest, ListModelsResponse, Model>
+      LIST_MODELS_PAGE_STR_DESC =
+          new PagedListDescriptor<ListModelsRequest, ListModelsResponse, Model>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListModelsRequest injectToken(ListModelsRequest payload, String token) {
+              return ListModelsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListModelsRequest injectPageSize(ListModelsRequest payload, int pageSize) {
+              return ListModelsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListModelsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListModelsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<Model> extractResources(ListModelsResponse payload) {
+              return payload.getModelsList() == null
+                  ? ImmutableList.<Model>of()
+                  : payload.getModelsList();
+            }
+          };
+
+  private static final PagedListDescriptor<
+          ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation>
+      LIST_MODEL_EVALUATIONS_PAGE_STR_DESC =
+          new PagedListDescriptor<
+              ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListModelEvaluationsRequest injectToken(
+                ListModelEvaluationsRequest payload, String token) {
+              return ListModelEvaluationsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListModelEvaluationsRequest injectPageSize(
+                ListModelEvaluationsRequest payload, int pageSize) {
+              return ListModelEvaluationsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListModelEvaluationsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListModelEvaluationsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<ModelEvaluation> extractResources(
+                ListModelEvaluationsResponse payload) {
+              return payload.getModelEvaluationsList() == null
+                  ? ImmutableList.<ModelEvaluation>of()
+                  : payload.getModelEvaluationsList();
+            }
+          };
+
+  private static final PagedListDescriptor<
+          ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse, ModelEvaluationSlice>
+      LIST_MODEL_EVALUATION_SLICES_PAGE_STR_DESC =
+          new PagedListDescriptor<
+              ListModelEvaluationSlicesRequest,
+              ListModelEvaluationSlicesResponse,
+              ModelEvaluationSlice>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListModelEvaluationSlicesRequest injectToken(
+                ListModelEvaluationSlicesRequest payload, String token) {
+              return ListModelEvaluationSlicesRequest.newBuilder(payload)
+                  .setPageToken(token)
+                  .build();
+            }
+
+            @Override
+            public ListModelEvaluationSlicesRequest injectPageSize(
+                ListModelEvaluationSlicesRequest payload, int pageSize) {
+              return ListModelEvaluationSlicesRequest.newBuilder(payload)
+                  .setPageSize(pageSize)
+                  .build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListModelEvaluationSlicesRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListModelEvaluationSlicesResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<ModelEvaluationSlice> extractResources(
+                ListModelEvaluationSlicesResponse payload) {
+              return payload.getModelEvaluationSlicesList() == null
+                  ? ImmutableList.<ModelEvaluationSlice>of()
+                  : payload.getModelEvaluationSlicesList();
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>
+      LIST_MODELS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>() {
+            @Override
+            public ApiFuture<ListModelsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListModelsRequest, ListModelsResponse> callable,
+                ListModelsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListModelsResponse> futureResponse) {
+              PageContext<ListModelsRequest, ListModelsResponse, Model> pageContext =
+                  PageContext.create(callable, LIST_MODELS_PAGE_STR_DESC, request, context);
+              return ListModelsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListModelEvaluationsRequest,
+          ListModelEvaluationsResponse,
+          ListModelEvaluationsPagedResponse>
+      LIST_MODEL_EVALUATIONS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListModelEvaluationsRequest,
+              ListModelEvaluationsResponse,
+              ListModelEvaluationsPagedResponse>() {
+            @Override
+            public ApiFuture<ListModelEvaluationsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsResponse> callable,
+                ListModelEvaluationsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListModelEvaluationsResponse> futureResponse) {
+              PageContext<
+                      ListModelEvaluationsRequest, ListModelEvaluationsResponse, ModelEvaluation>
+                  pageContext =
+                      PageContext.create(
+                          callable, LIST_MODEL_EVALUATIONS_PAGE_STR_DESC, request, context);
+              return ListModelEvaluationsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListModelEvaluationSlicesRequest,
+          ListModelEvaluationSlicesResponse,
+          ListModelEvaluationSlicesPagedResponse>
+      LIST_MODEL_EVALUATION_SLICES_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListModelEvaluationSlicesRequest,
+              ListModelEvaluationSlicesResponse,
+              ListModelEvaluationSlicesPagedResponse>() {
+            @Override
+            public ApiFuture<ListModelEvaluationSlicesPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
+                    callable,
+                ListModelEvaluationSlicesRequest request,
+                ApiCallContext context,
+                ApiFuture<ListModelEvaluationSlicesResponse> futureResponse) {
+              PageContext<
+                      ListModelEvaluationSlicesRequest,
+                      ListModelEvaluationSlicesResponse,
+                      ModelEvaluationSlice>
+                  pageContext =
+                      PageContext.create(
+                          callable, LIST_MODEL_EVALUATION_SLICES_PAGE_STR_DESC, request, context);
+              return ListModelEvaluationSlicesPagedResponse.createAsync(
+                  pageContext, futureResponse);
+            }
+          };
+
+  /** Returns the object with the settings used for calls to uploadModel. */
+  public UnaryCallSettings<UploadModelRequest, Operation> uploadModelSettings() {
+    return uploadModelSettings;
+  }
+
+  /** Returns the object with the settings used for calls to uploadModel. */
+  public OperationCallSettings<
+          UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+      uploadModelOperationSettings() {
+    return uploadModelOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getModel. */
+  public UnaryCallSettings<GetModelRequest, Model> getModelSettings() {
+    return getModelSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listModels. */
+  public PagedCallSettings<ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>
+      listModelsSettings() {
+    return listModelsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to updateModel. */
+  public UnaryCallSettings<UpdateModelRequest, Model> updateModelSettings() {
+    return updateModelSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteModel. */
+  public UnaryCallSettings<DeleteModelRequest, Operation> deleteModelSettings() {
+    return deleteModelSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteModel. */
+  public OperationCallSettings<DeleteModelRequest, Empty, DeleteOperationMetadata>
+      deleteModelOperationSettings() {
+    return deleteModelOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to exportModel. */
+  public UnaryCallSettings<ExportModelRequest, Operation> exportModelSettings() {
+    return exportModelSettings;
+  }
+
+  /** Returns the object with the settings used for calls to exportModel. */
+  public OperationCallSettings<
+          ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+      exportModelOperationSettings() {
+    return exportModelOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getModelEvaluation. */
+  public UnaryCallSettings<GetModelEvaluationRequest, ModelEvaluation>
+      getModelEvaluationSettings() {
+    return getModelEvaluationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listModelEvaluations. */
+  public PagedCallSettings<
+          ListModelEvaluationsRequest,
+          ListModelEvaluationsResponse,
+          ListModelEvaluationsPagedResponse>
+      listModelEvaluationsSettings() {
+    return listModelEvaluationsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getModelEvaluationSlice. */
+  public UnaryCallSettings<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+      getModelEvaluationSliceSettings() {
+    return getModelEvaluationSliceSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listModelEvaluationSlices. */
+  public PagedCallSettings<
+          ListModelEvaluationSlicesRequest,
+          ListModelEvaluationSlicesResponse,
+          ListModelEvaluationSlicesPagedResponse>
+      listModelEvaluationSlicesSettings() {
+    return listModelEvaluationSlicesSettings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public ModelServiceStub createStub() throws IOException {
+    if (getTransportChannelProvider()
+        .getTransportName()
+        .equals(GrpcTransportChannel.getGrpcTransportName())) {
+      return GrpcModelServiceStub.create(this);
+    }
+    throw new UnsupportedOperationException(
+        String.format(
+            "Transport not supported: %s", getTransportChannelProvider().getTransportName()));
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return InstantiatingExecutorProvider.newBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return "aiplatform.googleapis.com:443";
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DEFAULT_SERVICE_SCOPES;
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES);
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return InstantiatingGrpcChannelProvider.newBuilder()
+        .setMaxInboundMessageSize(Integer.MAX_VALUE);
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return defaultGrpcTransportProviderBuilder().build();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ApiClientHeaderProvider.newBuilder()
+        .setGeneratedLibToken(
+            "gapic", GaxProperties.getLibraryVersion(ModelServiceStubSettings.class))
+        .setTransportToken(
+            GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion());
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected ModelServiceStubSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+
+    uploadModelSettings = settingsBuilder.uploadModelSettings().build();
+    uploadModelOperationSettings = settingsBuilder.uploadModelOperationSettings().build();
+    getModelSettings = settingsBuilder.getModelSettings().build();
+    listModelsSettings = settingsBuilder.listModelsSettings().build();
+    updateModelSettings = settingsBuilder.updateModelSettings().build();
+    deleteModelSettings = settingsBuilder.deleteModelSettings().build();
+    deleteModelOperationSettings = settingsBuilder.deleteModelOperationSettings().build();
+    exportModelSettings = settingsBuilder.exportModelSettings().build();
+    exportModelOperationSettings = settingsBuilder.exportModelOperationSettings().build();
+    getModelEvaluationSettings = settingsBuilder.getModelEvaluationSettings().build();
+    listModelEvaluationsSettings = settingsBuilder.listModelEvaluationsSettings().build();
+    getModelEvaluationSliceSettings = settingsBuilder.getModelEvaluationSliceSettings().build();
+    listModelEvaluationSlicesSettings = settingsBuilder.listModelEvaluationSlicesSettings().build();
+  }
+
+  /** Builder for ModelServiceStubSettings. */
+  public static class Builder extends StubSettings.Builder<ModelServiceStubSettings, Builder> {
+    private final ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders;
+    private final UnaryCallSettings.Builder<UploadModelRequest, Operation> uploadModelSettings;
+    private final OperationCallSettings.Builder<
+            UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+        uploadModelOperationSettings;
+    private final UnaryCallSettings.Builder<GetModelRequest, Model> getModelSettings;
+    private final PagedCallSettings.Builder<
+            ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>
+        listModelsSettings;
+    private final UnaryCallSettings.Builder<UpdateModelRequest, Model> updateModelSettings;
+    private final UnaryCallSettings.Builder<DeleteModelRequest, Operation> deleteModelSettings;
+    private final OperationCallSettings.Builder<DeleteModelRequest, Empty, DeleteOperationMetadata>
+        deleteModelOperationSettings;
+    private final UnaryCallSettings.Builder<ExportModelRequest, Operation> exportModelSettings;
+    private final OperationCallSettings.Builder<
+            ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+        exportModelOperationSettings;
+    private final UnaryCallSettings.Builder<GetModelEvaluationRequest, ModelEvaluation>
+        getModelEvaluationSettings;
+    private final PagedCallSettings.Builder<
+            ListModelEvaluationsRequest,
+            ListModelEvaluationsResponse,
+            ListModelEvaluationsPagedResponse>
+        listModelEvaluationsSettings;
+    private final UnaryCallSettings.Builder<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+        getModelEvaluationSliceSettings;
+    private final PagedCallSettings.Builder<
+            ListModelEvaluationSlicesRequest,
+            ListModelEvaluationSlicesResponse,
+            ListModelEvaluationSlicesPagedResponse>
+        listModelEvaluationSlicesSettings;
+    private static final ImmutableMap<String, ImmutableSet<StatusCode.Code>>
+        RETRYABLE_CODE_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, ImmutableSet<StatusCode.Code>> definitions =
+          ImmutableMap.builder();
+      definitions.put("no_retry_codes", ImmutableSet.copyOf(Lists.<StatusCode.Code>newArrayList()));
+      RETRYABLE_CODE_DEFINITIONS = definitions.build();
+    }
+
+    private static final ImmutableMap<String, RetrySettings> RETRY_PARAM_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, RetrySettings> definitions = ImmutableMap.builder();
+      RetrySettings settings = null;
+      settings = RetrySettings.newBuilder().setRpcTimeoutMultiplier(1.0).build();
+      definitions.put("no_retry_params", settings);
+      RETRY_PARAM_DEFINITIONS = definitions.build();
+    }
+
+    protected Builder() {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(clientContext);
+
+      uploadModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      uploadModelOperationSettings = OperationCallSettings.newBuilder();
+      getModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listModelsSettings = PagedCallSettings.newBuilder(LIST_MODELS_PAGE_STR_FACT);
+      updateModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteModelOperationSettings = OperationCallSettings.newBuilder();
+      exportModelSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      exportModelOperationSettings = OperationCallSettings.newBuilder();
+      getModelEvaluationSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listModelEvaluationsSettings =
+          PagedCallSettings.newBuilder(LIST_MODEL_EVALUATIONS_PAGE_STR_FACT);
+      getModelEvaluationSliceSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listModelEvaluationSlicesSettings =
+          PagedCallSettings.newBuilder(LIST_MODEL_EVALUATION_SLICES_PAGE_STR_FACT);
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              uploadModelSettings,
+              getModelSettings,
+              listModelsSettings,
+              updateModelSettings,
+              deleteModelSettings,
+              exportModelSettings,
+              getModelEvaluationSettings,
+              listModelEvaluationsSettings,
+              getModelEvaluationSliceSettings,
+              listModelEvaluationSlicesSettings);
+      initDefaults(this);
+    }
+
+    protected Builder(ModelServiceStubSettings settings) {
+      super(settings);
+
+      uploadModelSettings = settings.uploadModelSettings.toBuilder();
+      uploadModelOperationSettings = settings.uploadModelOperationSettings.toBuilder();
+      getModelSettings = settings.getModelSettings.toBuilder();
+      listModelsSettings = settings.listModelsSettings.toBuilder();
+      updateModelSettings = settings.updateModelSettings.toBuilder();
+      deleteModelSettings = settings.deleteModelSettings.toBuilder();
+      deleteModelOperationSettings = settings.deleteModelOperationSettings.toBuilder();
+      exportModelSettings = settings.exportModelSettings.toBuilder();
+      exportModelOperationSettings = settings.exportModelOperationSettings.toBuilder();
+      getModelEvaluationSettings = settings.getModelEvaluationSettings.toBuilder();
+      listModelEvaluationsSettings = settings.listModelEvaluationsSettings.toBuilder();
+      getModelEvaluationSliceSettings = settings.getModelEvaluationSliceSettings.toBuilder();
+      listModelEvaluationSlicesSettings = settings.listModelEvaluationSlicesSettings.toBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              uploadModelSettings,
+              getModelSettings,
+              listModelsSettings,
+              updateModelSettings,
+              deleteModelSettings,
+              exportModelSettings,
+              getModelEvaluationSettings,
+              listModelEvaluationsSettings,
+              getModelEvaluationSliceSettings,
+              listModelEvaluationSlicesSettings);
+    }
+
+    private static Builder createDefault() {
+      Builder builder = new Builder(((ClientContext) null));
+
+      builder.setTransportChannelProvider(defaultTransportChannelProvider());
+      builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build());
+      builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build());
+      builder.setEndpoint(getDefaultEndpoint());
+
+      return initDefaults(builder);
+    }
+
+    private static Builder initDefaults(Builder builder) {
+      builder
+          .uploadModelSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getModelSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listModelsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .updateModelSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteModelSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .exportModelSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getModelEvaluationSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listModelEvaluationsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getModelEvaluationSliceSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listModelEvaluationSlicesSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .uploadModelOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings.<UploadModelRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(UploadModelResponse.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  UploadModelOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .deleteModelOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings.<DeleteModelRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .exportModelOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings.<ExportModelRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(ExportModelResponse.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  ExportModelOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      return builder;
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater);
+      return this;
+    }
+
+    public ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders() {
+      return unaryMethodSettingsBuilders;
+    }
+
+    /** Returns the builder for the settings used for calls to uploadModel. */
+    public UnaryCallSettings.Builder<UploadModelRequest, Operation> uploadModelSettings() {
+      return uploadModelSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to uploadModel. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
+        uploadModelOperationSettings() {
+      return uploadModelOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getModel. */
+    public UnaryCallSettings.Builder<GetModelRequest, Model> getModelSettings() {
+      return getModelSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listModels. */
+    public PagedCallSettings.Builder<ListModelsRequest, ListModelsResponse, ListModelsPagedResponse>
+        listModelsSettings() {
+      return listModelsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to updateModel. */
+    public UnaryCallSettings.Builder<UpdateModelRequest, Model> updateModelSettings() {
+      return updateModelSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteModel. */
+    public UnaryCallSettings.Builder<DeleteModelRequest, Operation> deleteModelSettings() {
+      return deleteModelSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteModel. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<DeleteModelRequest, Empty, DeleteOperationMetadata>
+        deleteModelOperationSettings() {
+      return deleteModelOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to exportModel. */
+    public UnaryCallSettings.Builder<ExportModelRequest, Operation> exportModelSettings() {
+      return exportModelSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to exportModel. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
+        exportModelOperationSettings() {
+      return exportModelOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getModelEvaluation. */
+    public UnaryCallSettings.Builder<GetModelEvaluationRequest, ModelEvaluation>
+        getModelEvaluationSettings() {
+      return getModelEvaluationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listModelEvaluations. */
+    public PagedCallSettings.Builder<
+            ListModelEvaluationsRequest,
+            ListModelEvaluationsResponse,
+            ListModelEvaluationsPagedResponse>
+        listModelEvaluationsSettings() {
+      return listModelEvaluationsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getModelEvaluationSlice. */
+    public UnaryCallSettings.Builder<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
+        getModelEvaluationSliceSettings() {
+      return getModelEvaluationSliceSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listModelEvaluationSlices. */
+    public PagedCallSettings.Builder<
+            ListModelEvaluationSlicesRequest,
+            ListModelEvaluationSlicesResponse,
+            ListModelEvaluationSlicesPagedResponse>
+        listModelEvaluationSlicesSettings() {
+      return listModelEvaluationSlicesSettings;
+    }
+
+    @Override
+    public ModelServiceStubSettings build() throws IOException {
+      return new ModelServiceStubSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PipelineServiceStub.java
new file mode 100644
index 000000000..40fcd232b
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PipelineServiceStub.java
@@ -0,0 +1,86 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+import com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+import com.google.cloud.aiplatform.v1.TrainingPipeline;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import com.google.protobuf.Empty;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Base stub class for the PipelineService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public abstract class PipelineServiceStub implements BackgroundResource {
+
+  public OperationsStub getOperationsStub() {
+    throw new UnsupportedOperationException("Not implemented: getOperationsStub()");
+  }
+
+  public UnaryCallable<CreateTrainingPipelineRequest, TrainingPipeline>
+      createTrainingPipelineCallable() {
+    throw new UnsupportedOperationException("Not implemented: createTrainingPipelineCallable()");
+  }
+
+  public UnaryCallable<GetTrainingPipelineRequest, TrainingPipeline> getTrainingPipelineCallable() {
+    throw new UnsupportedOperationException("Not implemented: getTrainingPipelineCallable()");
+  }
+
+  public UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesPagedResponse>
+      listTrainingPipelinesPagedCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: listTrainingPipelinesPagedCallable()");
+  }
+
+  public UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>
+      listTrainingPipelinesCallable() {
+    throw new UnsupportedOperationException("Not implemented: listTrainingPipelinesCallable()");
+  }
+
+  public OperationCallable<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+      deleteTrainingPipelineOperationCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: deleteTrainingPipelineOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteTrainingPipelineRequest, Operation> deleteTrainingPipelineCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteTrainingPipelineCallable()");
+  }
+
+  public UnaryCallable<CancelTrainingPipelineRequest, Empty> cancelTrainingPipelineCallable() {
+    throw new UnsupportedOperationException("Not implemented: cancelTrainingPipelineCallable()");
+  }
+
+  @Override
+  public abstract void close();
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PipelineServiceStubSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PipelineServiceStubSettings.java
new file mode 100644
index 000000000..90791989c
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PipelineServiceStubSettings.java
@@ -0,0 +1,512 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GaxProperties;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.GrpcTransportChannel;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.grpc.ProtoOperationTransformers;
+import com.google.api.gax.longrunning.OperationSnapshot;
+import com.google.api.gax.longrunning.OperationTimedPollAlgorithm;
+import com.google.api.gax.retrying.RetrySettings;
+import com.google.api.gax.rpc.ApiCallContext;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.PagedListDescriptor;
+import com.google.api.gax.rpc.PagedListResponseFactory;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.api.gax.rpc.StubSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest;
+import com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest;
+import com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse;
+import com.google.cloud.aiplatform.v1.TrainingPipeline;
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+import org.threeten.bp.Duration;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link PipelineServiceStub}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of createTrainingPipeline to 30 seconds:
+ *
+ * <pre>{@code
+ * PipelineServiceStubSettings.Builder pipelineServiceSettingsBuilder =
+ *     PipelineServiceStubSettings.newBuilder();
+ * pipelineServiceSettingsBuilder
+ *     .createTrainingPipelineSettings()
+ *     .setRetrySettings(
+ *         pipelineServiceSettingsBuilder
+ *             .createTrainingPipelineSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * PipelineServiceStubSettings pipelineServiceSettings = pipelineServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class PipelineServiceStubSettings extends StubSettings<PipelineServiceStubSettings> {
+  /** The default scopes of the service. */
+  private static final ImmutableList<String> DEFAULT_SERVICE_SCOPES =
+      ImmutableList.<String>builder().add("https://www.googleapis.com/auth/cloud-platform").build();
+
+  private final UnaryCallSettings<CreateTrainingPipelineRequest, TrainingPipeline>
+      createTrainingPipelineSettings;
+  private final UnaryCallSettings<GetTrainingPipelineRequest, TrainingPipeline>
+      getTrainingPipelineSettings;
+  private final PagedCallSettings<
+          ListTrainingPipelinesRequest,
+          ListTrainingPipelinesResponse,
+          ListTrainingPipelinesPagedResponse>
+      listTrainingPipelinesSettings;
+  private final UnaryCallSettings<DeleteTrainingPipelineRequest, Operation>
+      deleteTrainingPipelineSettings;
+  private final OperationCallSettings<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+      deleteTrainingPipelineOperationSettings;
+  private final UnaryCallSettings<CancelTrainingPipelineRequest, Empty>
+      cancelTrainingPipelineSettings;
+
+  private static final PagedListDescriptor<
+          ListTrainingPipelinesRequest, ListTrainingPipelinesResponse, TrainingPipeline>
+      LIST_TRAINING_PIPELINES_PAGE_STR_DESC =
+          new PagedListDescriptor<
+              ListTrainingPipelinesRequest, ListTrainingPipelinesResponse, TrainingPipeline>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListTrainingPipelinesRequest injectToken(
+                ListTrainingPipelinesRequest payload, String token) {
+              return ListTrainingPipelinesRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListTrainingPipelinesRequest injectPageSize(
+                ListTrainingPipelinesRequest payload, int pageSize) {
+              return ListTrainingPipelinesRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListTrainingPipelinesRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListTrainingPipelinesResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<TrainingPipeline> extractResources(
+                ListTrainingPipelinesResponse payload) {
+              return payload.getTrainingPipelinesList() == null
+                  ? ImmutableList.<TrainingPipeline>of()
+                  : payload.getTrainingPipelinesList();
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListTrainingPipelinesRequest,
+          ListTrainingPipelinesResponse,
+          ListTrainingPipelinesPagedResponse>
+      LIST_TRAINING_PIPELINES_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListTrainingPipelinesRequest,
+              ListTrainingPipelinesResponse,
+              ListTrainingPipelinesPagedResponse>() {
+            @Override
+            public ApiFuture<ListTrainingPipelinesPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse> callable,
+                ListTrainingPipelinesRequest request,
+                ApiCallContext context,
+                ApiFuture<ListTrainingPipelinesResponse> futureResponse) {
+              PageContext<
+                      ListTrainingPipelinesRequest, ListTrainingPipelinesResponse, TrainingPipeline>
+                  pageContext =
+                      PageContext.create(
+                          callable, LIST_TRAINING_PIPELINES_PAGE_STR_DESC, request, context);
+              return ListTrainingPipelinesPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  /** Returns the object with the settings used for calls to createTrainingPipeline. */
+  public UnaryCallSettings<CreateTrainingPipelineRequest, TrainingPipeline>
+      createTrainingPipelineSettings() {
+    return createTrainingPipelineSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getTrainingPipeline. */
+  public UnaryCallSettings<GetTrainingPipelineRequest, TrainingPipeline>
+      getTrainingPipelineSettings() {
+    return getTrainingPipelineSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listTrainingPipelines. */
+  public PagedCallSettings<
+          ListTrainingPipelinesRequest,
+          ListTrainingPipelinesResponse,
+          ListTrainingPipelinesPagedResponse>
+      listTrainingPipelinesSettings() {
+    return listTrainingPipelinesSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteTrainingPipeline. */
+  public UnaryCallSettings<DeleteTrainingPipelineRequest, Operation>
+      deleteTrainingPipelineSettings() {
+    return deleteTrainingPipelineSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteTrainingPipeline. */
+  public OperationCallSettings<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+      deleteTrainingPipelineOperationSettings() {
+    return deleteTrainingPipelineOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to cancelTrainingPipeline. */
+  public UnaryCallSettings<CancelTrainingPipelineRequest, Empty> cancelTrainingPipelineSettings() {
+    return cancelTrainingPipelineSettings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public PipelineServiceStub createStub() throws IOException {
+    if (getTransportChannelProvider()
+        .getTransportName()
+        .equals(GrpcTransportChannel.getGrpcTransportName())) {
+      return GrpcPipelineServiceStub.create(this);
+    }
+    throw new UnsupportedOperationException(
+        String.format(
+            "Transport not supported: %s", getTransportChannelProvider().getTransportName()));
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return InstantiatingExecutorProvider.newBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return "aiplatform.googleapis.com:443";
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DEFAULT_SERVICE_SCOPES;
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES);
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return InstantiatingGrpcChannelProvider.newBuilder()
+        .setMaxInboundMessageSize(Integer.MAX_VALUE);
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return defaultGrpcTransportProviderBuilder().build();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ApiClientHeaderProvider.newBuilder()
+        .setGeneratedLibToken(
+            "gapic", GaxProperties.getLibraryVersion(PipelineServiceStubSettings.class))
+        .setTransportToken(
+            GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion());
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected PipelineServiceStubSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+
+    createTrainingPipelineSettings = settingsBuilder.createTrainingPipelineSettings().build();
+    getTrainingPipelineSettings = settingsBuilder.getTrainingPipelineSettings().build();
+    listTrainingPipelinesSettings = settingsBuilder.listTrainingPipelinesSettings().build();
+    deleteTrainingPipelineSettings = settingsBuilder.deleteTrainingPipelineSettings().build();
+    deleteTrainingPipelineOperationSettings =
+        settingsBuilder.deleteTrainingPipelineOperationSettings().build();
+    cancelTrainingPipelineSettings = settingsBuilder.cancelTrainingPipelineSettings().build();
+  }
+
+  /** Builder for PipelineServiceStubSettings. */
+  public static class Builder extends StubSettings.Builder<PipelineServiceStubSettings, Builder> {
+    private final ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders;
+    private final UnaryCallSettings.Builder<CreateTrainingPipelineRequest, TrainingPipeline>
+        createTrainingPipelineSettings;
+    private final UnaryCallSettings.Builder<GetTrainingPipelineRequest, TrainingPipeline>
+        getTrainingPipelineSettings;
+    private final PagedCallSettings.Builder<
+            ListTrainingPipelinesRequest,
+            ListTrainingPipelinesResponse,
+            ListTrainingPipelinesPagedResponse>
+        listTrainingPipelinesSettings;
+    private final UnaryCallSettings.Builder<DeleteTrainingPipelineRequest, Operation>
+        deleteTrainingPipelineSettings;
+    private final OperationCallSettings.Builder<
+            DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+        deleteTrainingPipelineOperationSettings;
+    private final UnaryCallSettings.Builder<CancelTrainingPipelineRequest, Empty>
+        cancelTrainingPipelineSettings;
+    private static final ImmutableMap<String, ImmutableSet<StatusCode.Code>>
+        RETRYABLE_CODE_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, ImmutableSet<StatusCode.Code>> definitions =
+          ImmutableMap.builder();
+      definitions.put("no_retry_codes", ImmutableSet.copyOf(Lists.<StatusCode.Code>newArrayList()));
+      RETRYABLE_CODE_DEFINITIONS = definitions.build();
+    }
+
+    private static final ImmutableMap<String, RetrySettings> RETRY_PARAM_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, RetrySettings> definitions = ImmutableMap.builder();
+      RetrySettings settings = null;
+      settings = RetrySettings.newBuilder().setRpcTimeoutMultiplier(1.0).build();
+      definitions.put("no_retry_params", settings);
+      RETRY_PARAM_DEFINITIONS = definitions.build();
+    }
+
+    protected Builder() {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(clientContext);
+
+      createTrainingPipelineSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      getTrainingPipelineSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listTrainingPipelinesSettings =
+          PagedCallSettings.newBuilder(LIST_TRAINING_PIPELINES_PAGE_STR_FACT);
+      deleteTrainingPipelineSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteTrainingPipelineOperationSettings = OperationCallSettings.newBuilder();
+      cancelTrainingPipelineSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createTrainingPipelineSettings,
+              getTrainingPipelineSettings,
+              listTrainingPipelinesSettings,
+              deleteTrainingPipelineSettings,
+              cancelTrainingPipelineSettings);
+      initDefaults(this);
+    }
+
+    protected Builder(PipelineServiceStubSettings settings) {
+      super(settings);
+
+      createTrainingPipelineSettings = settings.createTrainingPipelineSettings.toBuilder();
+      getTrainingPipelineSettings = settings.getTrainingPipelineSettings.toBuilder();
+      listTrainingPipelinesSettings = settings.listTrainingPipelinesSettings.toBuilder();
+      deleteTrainingPipelineSettings = settings.deleteTrainingPipelineSettings.toBuilder();
+      deleteTrainingPipelineOperationSettings =
+          settings.deleteTrainingPipelineOperationSettings.toBuilder();
+      cancelTrainingPipelineSettings = settings.cancelTrainingPipelineSettings.toBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createTrainingPipelineSettings,
+              getTrainingPipelineSettings,
+              listTrainingPipelinesSettings,
+              deleteTrainingPipelineSettings,
+              cancelTrainingPipelineSettings);
+    }
+
+    private static Builder createDefault() {
+      Builder builder = new Builder(((ClientContext) null));
+
+      builder.setTransportChannelProvider(defaultTransportChannelProvider());
+      builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build());
+      builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build());
+      builder.setEndpoint(getDefaultEndpoint());
+
+      return initDefaults(builder);
+    }
+
+    private static Builder initDefaults(Builder builder) {
+      builder
+          .createTrainingPipelineSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getTrainingPipelineSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listTrainingPipelinesSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteTrainingPipelineSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .cancelTrainingPipelineSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteTrainingPipelineOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<DeleteTrainingPipelineRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      return builder;
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater);
+      return this;
+    }
+
+    public ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders() {
+      return unaryMethodSettingsBuilders;
+    }
+
+    /** Returns the builder for the settings used for calls to createTrainingPipeline. */
+    public UnaryCallSettings.Builder<CreateTrainingPipelineRequest, TrainingPipeline>
+        createTrainingPipelineSettings() {
+      return createTrainingPipelineSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getTrainingPipeline. */
+    public UnaryCallSettings.Builder<GetTrainingPipelineRequest, TrainingPipeline>
+        getTrainingPipelineSettings() {
+      return getTrainingPipelineSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listTrainingPipelines. */
+    public PagedCallSettings.Builder<
+            ListTrainingPipelinesRequest,
+            ListTrainingPipelinesResponse,
+            ListTrainingPipelinesPagedResponse>
+        listTrainingPipelinesSettings() {
+      return listTrainingPipelinesSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteTrainingPipeline. */
+    public UnaryCallSettings.Builder<DeleteTrainingPipelineRequest, Operation>
+        deleteTrainingPipelineSettings() {
+      return deleteTrainingPipelineSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteTrainingPipeline. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
+        deleteTrainingPipelineOperationSettings() {
+      return deleteTrainingPipelineOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to cancelTrainingPipeline. */
+    public UnaryCallSettings.Builder<CancelTrainingPipelineRequest, Empty>
+        cancelTrainingPipelineSettings() {
+      return cancelTrainingPipelineSettings;
+    }
+
+    @Override
+    public PipelineServiceStubSettings build() throws IOException {
+      return new PipelineServiceStubSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStub.java
new file mode 100644
index 000000000..fe95183c8
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStub.java
@@ -0,0 +1,40 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.PredictRequest;
+import com.google.cloud.aiplatform.v1.PredictResponse;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Base stub class for the PredictionService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public abstract class PredictionServiceStub implements BackgroundResource {
+
+  public UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
+    throw new UnsupportedOperationException("Not implemented: predictCallable()");
+  }
+
+  @Override
+  public abstract void close();
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStubSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStubSettings.java
new file mode 100644
index 000000000..9637382e1
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/PredictionServiceStubSettings.java
@@ -0,0 +1,255 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GaxProperties;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.GrpcTransportChannel;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.retrying.RetrySettings;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.api.gax.rpc.StubSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.cloud.aiplatform.v1.PredictRequest;
+import com.google.cloud.aiplatform.v1.PredictResponse;
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Lists;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link PredictionServiceStub}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of predict to 30 seconds:
+ *
+ * <pre>{@code
+ * PredictionServiceStubSettings.Builder predictionServiceSettingsBuilder =
+ *     PredictionServiceStubSettings.newBuilder();
+ * predictionServiceSettingsBuilder
+ *     .predictSettings()
+ *     .setRetrySettings(
+ *         predictionServiceSettingsBuilder
+ *             .predictSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * PredictionServiceStubSettings predictionServiceSettings =
+ *     predictionServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class PredictionServiceStubSettings extends StubSettings<PredictionServiceStubSettings> {
+  /** The default scopes of the service. */
+  private static final ImmutableList<String> DEFAULT_SERVICE_SCOPES =
+      ImmutableList.<String>builder().add("https://www.googleapis.com/auth/cloud-platform").build();
+
+  private final UnaryCallSettings<PredictRequest, PredictResponse> predictSettings;
+
+  /** Returns the object with the settings used for calls to predict. */
+  public UnaryCallSettings<PredictRequest, PredictResponse> predictSettings() {
+    return predictSettings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public PredictionServiceStub createStub() throws IOException {
+    if (getTransportChannelProvider()
+        .getTransportName()
+        .equals(GrpcTransportChannel.getGrpcTransportName())) {
+      return GrpcPredictionServiceStub.create(this);
+    }
+    throw new UnsupportedOperationException(
+        String.format(
+            "Transport not supported: %s", getTransportChannelProvider().getTransportName()));
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return InstantiatingExecutorProvider.newBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return "aiplatform.googleapis.com:443";
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DEFAULT_SERVICE_SCOPES;
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES);
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return InstantiatingGrpcChannelProvider.newBuilder()
+        .setMaxInboundMessageSize(Integer.MAX_VALUE);
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return defaultGrpcTransportProviderBuilder().build();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ApiClientHeaderProvider.newBuilder()
+        .setGeneratedLibToken(
+            "gapic", GaxProperties.getLibraryVersion(PredictionServiceStubSettings.class))
+        .setTransportToken(
+            GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion());
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected PredictionServiceStubSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+
+    predictSettings = settingsBuilder.predictSettings().build();
+  }
+
+  /** Builder for PredictionServiceStubSettings. */
+  public static class Builder extends StubSettings.Builder<PredictionServiceStubSettings, Builder> {
+    private final ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders;
+    private final UnaryCallSettings.Builder<PredictRequest, PredictResponse> predictSettings;
+    private static final ImmutableMap<String, ImmutableSet<StatusCode.Code>>
+        RETRYABLE_CODE_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, ImmutableSet<StatusCode.Code>> definitions =
+          ImmutableMap.builder();
+      definitions.put("no_retry_codes", ImmutableSet.copyOf(Lists.<StatusCode.Code>newArrayList()));
+      RETRYABLE_CODE_DEFINITIONS = definitions.build();
+    }
+
+    private static final ImmutableMap<String, RetrySettings> RETRY_PARAM_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, RetrySettings> definitions = ImmutableMap.builder();
+      RetrySettings settings = null;
+      settings = RetrySettings.newBuilder().setRpcTimeoutMultiplier(1.0).build();
+      definitions.put("no_retry_params", settings);
+      RETRY_PARAM_DEFINITIONS = definitions.build();
+    }
+
+    protected Builder() {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(clientContext);
+
+      predictSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(predictSettings);
+      initDefaults(this);
+    }
+
+    protected Builder(PredictionServiceStubSettings settings) {
+      super(settings);
+
+      predictSettings = settings.predictSettings.toBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(predictSettings);
+    }
+
+    private static Builder createDefault() {
+      Builder builder = new Builder(((ClientContext) null));
+
+      builder.setTransportChannelProvider(defaultTransportChannelProvider());
+      builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build());
+      builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build());
+      builder.setEndpoint(getDefaultEndpoint());
+
+      return initDefaults(builder);
+    }
+
+    private static Builder initDefaults(Builder builder) {
+      builder
+          .predictSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      return builder;
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater);
+      return this;
+    }
+
+    public ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders() {
+      return unaryMethodSettingsBuilders;
+    }
+
+    /** Returns the builder for the settings used for calls to predict. */
+    public UnaryCallSettings.Builder<PredictRequest, PredictResponse> predictSettings() {
+      return predictSettings;
+    }
+
+    @Override
+    public PredictionServiceStubSettings build() throws IOException {
+      return new PredictionServiceStubSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/SpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/SpecialistPoolServiceStub.java
new file mode 100644
index 000000000..bd9792df0
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/SpecialistPoolServiceStub.java
@@ -0,0 +1,100 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
+
+import com.google.api.gax.core.BackgroundResource;
+import com.google.api.gax.rpc.OperationCallable;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest;
+import com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse;
+import com.google.cloud.aiplatform.v1.SpecialistPool;
+import com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata;
+import com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest;
+import com.google.longrunning.Operation;
+import com.google.longrunning.stub.OperationsStub;
+import com.google.protobuf.Empty;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Base stub class for the SpecialistPoolService service API.
+ *
+ * <p>This class is for advanced usage and reflects the underlying API directly.
+ */
+@Generated("by gapic-generator-java")
+public abstract class SpecialistPoolServiceStub implements BackgroundResource {
+
+  public OperationsStub getOperationsStub() {
+    throw new UnsupportedOperationException("Not implemented: getOperationsStub()");
+  }
+
+  public OperationCallable<
+          CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolOperationCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: createSpecialistPoolOperationCallable()");
+  }
+
+  public UnaryCallable<CreateSpecialistPoolRequest, Operation> createSpecialistPoolCallable() {
+    throw new UnsupportedOperationException("Not implemented: createSpecialistPoolCallable()");
+  }
+
+  public UnaryCallable<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolCallable() {
+    throw new UnsupportedOperationException("Not implemented: getSpecialistPoolCallable()");
+  }
+
+  public UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsPagedResponse>
+      listSpecialistPoolsPagedCallable() {
+    throw new UnsupportedOperationException("Not implemented: listSpecialistPoolsPagedCallable()");
+  }
+
+  public UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>
+      listSpecialistPoolsCallable() {
+    throw new UnsupportedOperationException("Not implemented: listSpecialistPoolsCallable()");
+  }
+
+  public OperationCallable<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+      deleteSpecialistPoolOperationCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: deleteSpecialistPoolOperationCallable()");
+  }
+
+  public UnaryCallable<DeleteSpecialistPoolRequest, Operation> deleteSpecialistPoolCallable() {
+    throw new UnsupportedOperationException("Not implemented: deleteSpecialistPoolCallable()");
+  }
+
+  public OperationCallable<
+          UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolOperationCallable() {
+    throw new UnsupportedOperationException(
+        "Not implemented: updateSpecialistPoolOperationCallable()");
+  }
+
+  public UnaryCallable<UpdateSpecialistPoolRequest, Operation> updateSpecialistPoolCallable() {
+    throw new UnsupportedOperationException("Not implemented: updateSpecialistPoolCallable()");
+  }
+
+  @Override
+  public abstract void close();
+}
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/SpecialistPoolServiceStubSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/SpecialistPoolServiceStubSettings.java
new file mode 100644
index 000000000..b9bf03dee
--- /dev/null
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/stub/SpecialistPoolServiceStubSettings.java
@@ -0,0 +1,610 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1.stub;
+
+import static com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
+
+import com.google.api.core.ApiFunction;
+import com.google.api.core.ApiFuture;
+import com.google.api.core.BetaApi;
+import com.google.api.gax.core.GaxProperties;
+import com.google.api.gax.core.GoogleCredentialsProvider;
+import com.google.api.gax.core.InstantiatingExecutorProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.GrpcTransportChannel;
+import com.google.api.gax.grpc.InstantiatingGrpcChannelProvider;
+import com.google.api.gax.grpc.ProtoOperationTransformers;
+import com.google.api.gax.longrunning.OperationSnapshot;
+import com.google.api.gax.longrunning.OperationTimedPollAlgorithm;
+import com.google.api.gax.retrying.RetrySettings;
+import com.google.api.gax.rpc.ApiCallContext;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.ClientContext;
+import com.google.api.gax.rpc.OperationCallSettings;
+import com.google.api.gax.rpc.PageContext;
+import com.google.api.gax.rpc.PagedCallSettings;
+import com.google.api.gax.rpc.PagedListDescriptor;
+import com.google.api.gax.rpc.PagedListResponseFactory;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.api.gax.rpc.StubSettings;
+import com.google.api.gax.rpc.TransportChannelProvider;
+import com.google.api.gax.rpc.UnaryCallSettings;
+import com.google.api.gax.rpc.UnaryCallable;
+import com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest;
+import com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest;
+import com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse;
+import com.google.cloud.aiplatform.v1.SpecialistPool;
+import com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata;
+import com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest;
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableMap;
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.List;
+import javax.annotation.Generated;
+import org.threeten.bp.Duration;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+/**
+ * Settings class to configure an instance of {@link SpecialistPoolServiceStub}.
+ *
+ * <p>The default instance has everything set to sensible defaults:
+ *
+ * <ul>
+ *   <li>The default service address (aiplatform.googleapis.com) and default port (443) are used.
+ *   <li>Credentials are acquired automatically through Application Default Credentials.
+ *   <li>Retries are configured for idempotent methods but not for non-idempotent methods.
+ * </ul>
+ *
+ * <p>The builder of this class is recursive, so contained classes are themselves builders. When
+ * build() is called, the tree of builders is called to create the complete settings object.
+ *
+ * <p>For example, to set the total timeout of getSpecialistPool to 30 seconds:
+ *
+ * <pre>{@code
+ * SpecialistPoolServiceStubSettings.Builder specialistPoolServiceSettingsBuilder =
+ *     SpecialistPoolServiceStubSettings.newBuilder();
+ * specialistPoolServiceSettingsBuilder
+ *     .getSpecialistPoolSettings()
+ *     .setRetrySettings(
+ *         specialistPoolServiceSettingsBuilder
+ *             .getSpecialistPoolSettings()
+ *             .getRetrySettings()
+ *             .toBuilder()
+ *             .setTotalTimeout(Duration.ofSeconds(30))
+ *             .build());
+ * SpecialistPoolServiceStubSettings specialistPoolServiceSettings =
+ *     specialistPoolServiceSettingsBuilder.build();
+ * }</pre>
+ */
+@Generated("by gapic-generator-java")
+public class SpecialistPoolServiceStubSettings
+    extends StubSettings<SpecialistPoolServiceStubSettings> {
+  /** The default scopes of the service. */
+  private static final ImmutableList<String> DEFAULT_SERVICE_SCOPES =
+      ImmutableList.<String>builder().add("https://www.googleapis.com/auth/cloud-platform").build();
+
+  private final UnaryCallSettings<CreateSpecialistPoolRequest, Operation>
+      createSpecialistPoolSettings;
+  private final OperationCallSettings<
+          CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolOperationSettings;
+  private final UnaryCallSettings<GetSpecialistPoolRequest, SpecialistPool>
+      getSpecialistPoolSettings;
+  private final PagedCallSettings<
+          ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, ListSpecialistPoolsPagedResponse>
+      listSpecialistPoolsSettings;
+  private final UnaryCallSettings<DeleteSpecialistPoolRequest, Operation>
+      deleteSpecialistPoolSettings;
+  private final OperationCallSettings<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+      deleteSpecialistPoolOperationSettings;
+  private final UnaryCallSettings<UpdateSpecialistPoolRequest, Operation>
+      updateSpecialistPoolSettings;
+  private final OperationCallSettings<
+          UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolOperationSettings;
+
+  private static final PagedListDescriptor<
+          ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, SpecialistPool>
+      LIST_SPECIALIST_POOLS_PAGE_STR_DESC =
+          new PagedListDescriptor<
+              ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, SpecialistPool>() {
+            @Override
+            public String emptyToken() {
+              return "";
+            }
+
+            @Override
+            public ListSpecialistPoolsRequest injectToken(
+                ListSpecialistPoolsRequest payload, String token) {
+              return ListSpecialistPoolsRequest.newBuilder(payload).setPageToken(token).build();
+            }
+
+            @Override
+            public ListSpecialistPoolsRequest injectPageSize(
+                ListSpecialistPoolsRequest payload, int pageSize) {
+              return ListSpecialistPoolsRequest.newBuilder(payload).setPageSize(pageSize).build();
+            }
+
+            @Override
+            public Integer extractPageSize(ListSpecialistPoolsRequest payload) {
+              return payload.getPageSize();
+            }
+
+            @Override
+            public String extractNextToken(ListSpecialistPoolsResponse payload) {
+              return payload.getNextPageToken();
+            }
+
+            @Override
+            public Iterable<SpecialistPool> extractResources(ListSpecialistPoolsResponse payload) {
+              return payload.getSpecialistPoolsList() == null
+                  ? ImmutableList.<SpecialistPool>of()
+                  : payload.getSpecialistPoolsList();
+            }
+          };
+
+  private static final PagedListResponseFactory<
+          ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, ListSpecialistPoolsPagedResponse>
+      LIST_SPECIALIST_POOLS_PAGE_STR_FACT =
+          new PagedListResponseFactory<
+              ListSpecialistPoolsRequest,
+              ListSpecialistPoolsResponse,
+              ListSpecialistPoolsPagedResponse>() {
+            @Override
+            public ApiFuture<ListSpecialistPoolsPagedResponse> getFuturePagedResponse(
+                UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse> callable,
+                ListSpecialistPoolsRequest request,
+                ApiCallContext context,
+                ApiFuture<ListSpecialistPoolsResponse> futureResponse) {
+              PageContext<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, SpecialistPool>
+                  pageContext =
+                      PageContext.create(
+                          callable, LIST_SPECIALIST_POOLS_PAGE_STR_DESC, request, context);
+              return ListSpecialistPoolsPagedResponse.createAsync(pageContext, futureResponse);
+            }
+          };
+
+  /** Returns the object with the settings used for calls to createSpecialistPool. */
+  public UnaryCallSettings<CreateSpecialistPoolRequest, Operation> createSpecialistPoolSettings() {
+    return createSpecialistPoolSettings;
+  }
+
+  /** Returns the object with the settings used for calls to createSpecialistPool. */
+  public OperationCallSettings<
+          CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+      createSpecialistPoolOperationSettings() {
+    return createSpecialistPoolOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to getSpecialistPool. */
+  public UnaryCallSettings<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolSettings() {
+    return getSpecialistPoolSettings;
+  }
+
+  /** Returns the object with the settings used for calls to listSpecialistPools. */
+  public PagedCallSettings<
+          ListSpecialistPoolsRequest, ListSpecialistPoolsResponse, ListSpecialistPoolsPagedResponse>
+      listSpecialistPoolsSettings() {
+    return listSpecialistPoolsSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteSpecialistPool. */
+  public UnaryCallSettings<DeleteSpecialistPoolRequest, Operation> deleteSpecialistPoolSettings() {
+    return deleteSpecialistPoolSettings;
+  }
+
+  /** Returns the object with the settings used for calls to deleteSpecialistPool. */
+  public OperationCallSettings<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+      deleteSpecialistPoolOperationSettings() {
+    return deleteSpecialistPoolOperationSettings;
+  }
+
+  /** Returns the object with the settings used for calls to updateSpecialistPool. */
+  public UnaryCallSettings<UpdateSpecialistPoolRequest, Operation> updateSpecialistPoolSettings() {
+    return updateSpecialistPoolSettings;
+  }
+
+  /** Returns the object with the settings used for calls to updateSpecialistPool. */
+  public OperationCallSettings<
+          UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+      updateSpecialistPoolOperationSettings() {
+    return updateSpecialistPoolOperationSettings;
+  }
+
+  @BetaApi("A restructuring of stub classes is planned, so this may break in the future")
+  public SpecialistPoolServiceStub createStub() throws IOException {
+    if (getTransportChannelProvider()
+        .getTransportName()
+        .equals(GrpcTransportChannel.getGrpcTransportName())) {
+      return GrpcSpecialistPoolServiceStub.create(this);
+    }
+    throw new UnsupportedOperationException(
+        String.format(
+            "Transport not supported: %s", getTransportChannelProvider().getTransportName()));
+  }
+
+  /** Returns a builder for the default ExecutorProvider for this service. */
+  public static InstantiatingExecutorProvider.Builder defaultExecutorProviderBuilder() {
+    return InstantiatingExecutorProvider.newBuilder();
+  }
+
+  /** Returns the default service endpoint. */
+  public static String getDefaultEndpoint() {
+    return "aiplatform.googleapis.com:443";
+  }
+
+  /** Returns the default service scopes. */
+  public static List<String> getDefaultServiceScopes() {
+    return DEFAULT_SERVICE_SCOPES;
+  }
+
+  /** Returns a builder for the default credentials for this service. */
+  public static GoogleCredentialsProvider.Builder defaultCredentialsProviderBuilder() {
+    return GoogleCredentialsProvider.newBuilder().setScopesToApply(DEFAULT_SERVICE_SCOPES);
+  }
+
+  /** Returns a builder for the default ChannelProvider for this service. */
+  public static InstantiatingGrpcChannelProvider.Builder defaultGrpcTransportProviderBuilder() {
+    return InstantiatingGrpcChannelProvider.newBuilder()
+        .setMaxInboundMessageSize(Integer.MAX_VALUE);
+  }
+
+  public static TransportChannelProvider defaultTransportChannelProvider() {
+    return defaultGrpcTransportProviderBuilder().build();
+  }
+
+  @BetaApi("The surface for customizing headers is not stable yet and may change in the future.")
+  public static ApiClientHeaderProvider.Builder defaultApiClientHeaderProviderBuilder() {
+    return ApiClientHeaderProvider.newBuilder()
+        .setGeneratedLibToken(
+            "gapic", GaxProperties.getLibraryVersion(SpecialistPoolServiceStubSettings.class))
+        .setTransportToken(
+            GaxGrpcProperties.getGrpcTokenName(), GaxGrpcProperties.getGrpcVersion());
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder() {
+    return Builder.createDefault();
+  }
+
+  /** Returns a new builder for this class. */
+  public static Builder newBuilder(ClientContext clientContext) {
+    return new Builder(clientContext);
+  }
+
+  /** Returns a builder containing all the values of this settings class. */
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  protected SpecialistPoolServiceStubSettings(Builder settingsBuilder) throws IOException {
+    super(settingsBuilder);
+
+    createSpecialistPoolSettings = settingsBuilder.createSpecialistPoolSettings().build();
+    createSpecialistPoolOperationSettings =
+        settingsBuilder.createSpecialistPoolOperationSettings().build();
+    getSpecialistPoolSettings = settingsBuilder.getSpecialistPoolSettings().build();
+    listSpecialistPoolsSettings = settingsBuilder.listSpecialistPoolsSettings().build();
+    deleteSpecialistPoolSettings = settingsBuilder.deleteSpecialistPoolSettings().build();
+    deleteSpecialistPoolOperationSettings =
+        settingsBuilder.deleteSpecialistPoolOperationSettings().build();
+    updateSpecialistPoolSettings = settingsBuilder.updateSpecialistPoolSettings().build();
+    updateSpecialistPoolOperationSettings =
+        settingsBuilder.updateSpecialistPoolOperationSettings().build();
+  }
+
+  /** Builder for SpecialistPoolServiceStubSettings. */
+  public static class Builder
+      extends StubSettings.Builder<SpecialistPoolServiceStubSettings, Builder> {
+    private final ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders;
+    private final UnaryCallSettings.Builder<CreateSpecialistPoolRequest, Operation>
+        createSpecialistPoolSettings;
+    private final OperationCallSettings.Builder<
+            CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+        createSpecialistPoolOperationSettings;
+    private final UnaryCallSettings.Builder<GetSpecialistPoolRequest, SpecialistPool>
+        getSpecialistPoolSettings;
+    private final PagedCallSettings.Builder<
+            ListSpecialistPoolsRequest,
+            ListSpecialistPoolsResponse,
+            ListSpecialistPoolsPagedResponse>
+        listSpecialistPoolsSettings;
+    private final UnaryCallSettings.Builder<DeleteSpecialistPoolRequest, Operation>
+        deleteSpecialistPoolSettings;
+    private final OperationCallSettings.Builder<
+            DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+        deleteSpecialistPoolOperationSettings;
+    private final UnaryCallSettings.Builder<UpdateSpecialistPoolRequest, Operation>
+        updateSpecialistPoolSettings;
+    private final OperationCallSettings.Builder<
+            UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+        updateSpecialistPoolOperationSettings;
+    private static final ImmutableMap<String, ImmutableSet<StatusCode.Code>>
+        RETRYABLE_CODE_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, ImmutableSet<StatusCode.Code>> definitions =
+          ImmutableMap.builder();
+      definitions.put("no_retry_codes", ImmutableSet.copyOf(Lists.<StatusCode.Code>newArrayList()));
+      RETRYABLE_CODE_DEFINITIONS = definitions.build();
+    }
+
+    private static final ImmutableMap<String, RetrySettings> RETRY_PARAM_DEFINITIONS;
+
+    static {
+      ImmutableMap.Builder<String, RetrySettings> definitions = ImmutableMap.builder();
+      RetrySettings settings = null;
+      settings = RetrySettings.newBuilder().setRpcTimeoutMultiplier(1.0).build();
+      definitions.put("no_retry_params", settings);
+      RETRY_PARAM_DEFINITIONS = definitions.build();
+    }
+
+    protected Builder() {
+      this(((ClientContext) null));
+    }
+
+    protected Builder(ClientContext clientContext) {
+      super(clientContext);
+
+      createSpecialistPoolSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      createSpecialistPoolOperationSettings = OperationCallSettings.newBuilder();
+      getSpecialistPoolSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      listSpecialistPoolsSettings =
+          PagedCallSettings.newBuilder(LIST_SPECIALIST_POOLS_PAGE_STR_FACT);
+      deleteSpecialistPoolSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      deleteSpecialistPoolOperationSettings = OperationCallSettings.newBuilder();
+      updateSpecialistPoolSettings = UnaryCallSettings.newUnaryCallSettingsBuilder();
+      updateSpecialistPoolOperationSettings = OperationCallSettings.newBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createSpecialistPoolSettings,
+              getSpecialistPoolSettings,
+              listSpecialistPoolsSettings,
+              deleteSpecialistPoolSettings,
+              updateSpecialistPoolSettings);
+      initDefaults(this);
+    }
+
+    protected Builder(SpecialistPoolServiceStubSettings settings) {
+      super(settings);
+
+      createSpecialistPoolSettings = settings.createSpecialistPoolSettings.toBuilder();
+      createSpecialistPoolOperationSettings =
+          settings.createSpecialistPoolOperationSettings.toBuilder();
+      getSpecialistPoolSettings = settings.getSpecialistPoolSettings.toBuilder();
+      listSpecialistPoolsSettings = settings.listSpecialistPoolsSettings.toBuilder();
+      deleteSpecialistPoolSettings = settings.deleteSpecialistPoolSettings.toBuilder();
+      deleteSpecialistPoolOperationSettings =
+          settings.deleteSpecialistPoolOperationSettings.toBuilder();
+      updateSpecialistPoolSettings = settings.updateSpecialistPoolSettings.toBuilder();
+      updateSpecialistPoolOperationSettings =
+          settings.updateSpecialistPoolOperationSettings.toBuilder();
+
+      unaryMethodSettingsBuilders =
+          ImmutableList.<UnaryCallSettings.Builder<?, ?>>of(
+              createSpecialistPoolSettings,
+              getSpecialistPoolSettings,
+              listSpecialistPoolsSettings,
+              deleteSpecialistPoolSettings,
+              updateSpecialistPoolSettings);
+    }
+
+    private static Builder createDefault() {
+      Builder builder = new Builder(((ClientContext) null));
+
+      builder.setTransportChannelProvider(defaultTransportChannelProvider());
+      builder.setCredentialsProvider(defaultCredentialsProviderBuilder().build());
+      builder.setInternalHeaderProvider(defaultApiClientHeaderProviderBuilder().build());
+      builder.setEndpoint(getDefaultEndpoint());
+
+      return initDefaults(builder);
+    }
+
+    private static Builder initDefaults(Builder builder) {
+      builder
+          .createSpecialistPoolSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .getSpecialistPoolSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .listSpecialistPoolsSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .deleteSpecialistPoolSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .updateSpecialistPoolSettings()
+          .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+          .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"));
+
+      builder
+          .createSpecialistPoolOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<CreateSpecialistPoolRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(SpecialistPool.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  CreateSpecialistPoolOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .deleteSpecialistPoolOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<DeleteSpecialistPoolRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(Empty.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(DeleteOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      builder
+          .updateSpecialistPoolOperationSettings()
+          .setInitialCallSettings(
+              UnaryCallSettings
+                  .<UpdateSpecialistPoolRequest, OperationSnapshot>newUnaryCallSettingsBuilder()
+                  .setRetryableCodes(RETRYABLE_CODE_DEFINITIONS.get("no_retry_codes"))
+                  .setRetrySettings(RETRY_PARAM_DEFINITIONS.get("no_retry_params"))
+                  .build())
+          .setResponseTransformer(
+              ProtoOperationTransformers.ResponseTransformer.create(SpecialistPool.class))
+          .setMetadataTransformer(
+              ProtoOperationTransformers.MetadataTransformer.create(
+                  UpdateSpecialistPoolOperationMetadata.class))
+          .setPollingAlgorithm(
+              OperationTimedPollAlgorithm.create(
+                  RetrySettings.newBuilder()
+                      .setInitialRetryDelay(Duration.ofMillis(5000L))
+                      .setRetryDelayMultiplier(1.5)
+                      .setMaxRetryDelay(Duration.ofMillis(45000L))
+                      .setInitialRpcTimeout(Duration.ZERO)
+                      .setRpcTimeoutMultiplier(1.0)
+                      .setMaxRpcTimeout(Duration.ZERO)
+                      .setTotalTimeout(Duration.ofMillis(300000L))
+                      .build()));
+
+      return builder;
+    }
+
+    // NEXT_MAJOR_VER: remove 'throws Exception'.
+    /**
+     * Applies the given settings updater function to all of the unary API methods in this service.
+     *
+     * <p>Note: This method does not support applying settings to streaming methods.
+     */
+    public Builder applyToAllUnaryMethods(
+        ApiFunction<UnaryCallSettings.Builder<?, ?>, Void> settingsUpdater) throws Exception {
+      super.applyToAllUnaryMethods(unaryMethodSettingsBuilders, settingsUpdater);
+      return this;
+    }
+
+    public ImmutableList<UnaryCallSettings.Builder<?, ?>> unaryMethodSettingsBuilders() {
+      return unaryMethodSettingsBuilders;
+    }
+
+    /** Returns the builder for the settings used for calls to createSpecialistPool. */
+    public UnaryCallSettings.Builder<CreateSpecialistPoolRequest, Operation>
+        createSpecialistPoolSettings() {
+      return createSpecialistPoolSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to createSpecialistPool. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
+        createSpecialistPoolOperationSettings() {
+      return createSpecialistPoolOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to getSpecialistPool. */
+    public UnaryCallSettings.Builder<GetSpecialistPoolRequest, SpecialistPool>
+        getSpecialistPoolSettings() {
+      return getSpecialistPoolSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to listSpecialistPools. */
+    public PagedCallSettings.Builder<
+            ListSpecialistPoolsRequest,
+            ListSpecialistPoolsResponse,
+            ListSpecialistPoolsPagedResponse>
+        listSpecialistPoolsSettings() {
+      return listSpecialistPoolsSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteSpecialistPool. */
+    public UnaryCallSettings.Builder<DeleteSpecialistPoolRequest, Operation>
+        deleteSpecialistPoolSettings() {
+      return deleteSpecialistPoolSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to deleteSpecialistPool. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
+        deleteSpecialistPoolOperationSettings() {
+      return deleteSpecialistPoolOperationSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to updateSpecialistPool. */
+    public UnaryCallSettings.Builder<UpdateSpecialistPoolRequest, Operation>
+        updateSpecialistPoolSettings() {
+      return updateSpecialistPoolSettings;
+    }
+
+    /** Returns the builder for the settings used for calls to updateSpecialistPool. */
+    @BetaApi(
+        "The surface for use by generated code is not stable yet and may change in the future.")
+    public OperationCallSettings.Builder<
+            UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
+        updateSpecialistPoolOperationSettings() {
+      return updateSpecialistPoolOperationSettings;
+    }
+
+    @Override
+    public SpecialistPoolServiceStubSettings build() throws IOException {
+      return new SpecialistPoolServiceStubSettings(this);
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/DatasetServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/DatasetServiceClientTest.java
new file mode 100644
index 000000000..4f0d8af7c
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/DatasetServiceClientTest.java
@@ -0,0 +1,971 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDataItemsPagedResponse;
+import static com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsPagedResponse;
+
+import com.google.api.gax.core.NoCredentialsProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.testing.LocalChannelProvider;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.api.gax.grpc.testing.MockServiceHelper;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.InvalidArgumentException;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Any;
+import com.google.protobuf.Empty;
+import com.google.protobuf.FieldMask;
+import com.google.protobuf.Timestamp;
+import com.google.protobuf.Value;
+import io.grpc.StatusRuntimeException;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+import javax.annotation.Generated;
+import org.junit.After;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+@Generated("by gapic-generator-java")
+public class DatasetServiceClientTest {
+  private static MockServiceHelper mockServiceHelper;
+  private DatasetServiceClient client;
+  private static MockDatasetService mockDatasetService;
+  private LocalChannelProvider channelProvider;
+
+  @BeforeClass
+  public static void startStaticServer() {
+    mockDatasetService = new MockDatasetService();
+    mockServiceHelper =
+        new MockServiceHelper(
+            UUID.randomUUID().toString(), Arrays.<MockGrpcService>asList(mockDatasetService));
+    mockServiceHelper.start();
+  }
+
+  @AfterClass
+  public static void stopServer() {
+    mockServiceHelper.stop();
+  }
+
+  @Before
+  public void setUp() throws IOException {
+    mockServiceHelper.reset();
+    channelProvider = mockServiceHelper.createChannelProvider();
+    DatasetServiceSettings settings =
+        DatasetServiceSettings.newBuilder()
+            .setTransportChannelProvider(channelProvider)
+            .setCredentialsProvider(NoCredentialsProvider.create())
+            .build();
+    client = DatasetServiceClient.create(settings);
+  }
+
+  @After
+  public void tearDown() throws Exception {
+    client.close();
+  }
+
+  @Test
+  public void createDatasetTest() throws Exception {
+    Dataset expectedResponse =
+        Dataset.newBuilder()
+            .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+            .setDisplayName("displayName1714148973")
+            .setMetadataSchemaUri("metadataSchemaUri781971868")
+            .setMetadata(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("createDatasetTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockDatasetService.addResponse(resultOperation);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    Dataset dataset = Dataset.newBuilder().build();
+
+    Dataset actualResponse = client.createDatasetAsync(parent, dataset).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateDatasetRequest actualRequest = ((CreateDatasetRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(dataset, actualRequest.getDataset());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createDatasetExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      Dataset dataset = Dataset.newBuilder().build();
+      client.createDatasetAsync(parent, dataset).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void createDatasetTest2() throws Exception {
+    Dataset expectedResponse =
+        Dataset.newBuilder()
+            .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+            .setDisplayName("displayName1714148973")
+            .setMetadataSchemaUri("metadataSchemaUri781971868")
+            .setMetadata(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("createDatasetTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockDatasetService.addResponse(resultOperation);
+
+    String parent = "parent-995424086";
+    Dataset dataset = Dataset.newBuilder().build();
+
+    Dataset actualResponse = client.createDatasetAsync(parent, dataset).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateDatasetRequest actualRequest = ((CreateDatasetRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(dataset, actualRequest.getDataset());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createDatasetExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      Dataset dataset = Dataset.newBuilder().build();
+      client.createDatasetAsync(parent, dataset).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void getDatasetTest() throws Exception {
+    Dataset expectedResponse =
+        Dataset.newBuilder()
+            .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+            .setDisplayName("displayName1714148973")
+            .setMetadataSchemaUri("metadataSchemaUri781971868")
+            .setMetadata(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+
+    Dataset actualResponse = client.getDataset(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetDatasetRequest actualRequest = ((GetDatasetRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getDatasetExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+      client.getDataset(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getDatasetTest2() throws Exception {
+    Dataset expectedResponse =
+        Dataset.newBuilder()
+            .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+            .setDisplayName("displayName1714148973")
+            .setMetadataSchemaUri("metadataSchemaUri781971868")
+            .setMetadata(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    Dataset actualResponse = client.getDataset(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetDatasetRequest actualRequest = ((GetDatasetRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getDatasetExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getDataset(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void updateDatasetTest() throws Exception {
+    Dataset expectedResponse =
+        Dataset.newBuilder()
+            .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+            .setDisplayName("displayName1714148973")
+            .setMetadataSchemaUri("metadataSchemaUri781971868")
+            .setMetadata(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    Dataset dataset = Dataset.newBuilder().build();
+    FieldMask updateMask = FieldMask.newBuilder().build();
+
+    Dataset actualResponse = client.updateDataset(dataset, updateMask);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    UpdateDatasetRequest actualRequest = ((UpdateDatasetRequest) actualRequests.get(0));
+
+    Assert.assertEquals(dataset, actualRequest.getDataset());
+    Assert.assertEquals(updateMask, actualRequest.getUpdateMask());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void updateDatasetExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      Dataset dataset = Dataset.newBuilder().build();
+      FieldMask updateMask = FieldMask.newBuilder().build();
+      client.updateDataset(dataset, updateMask);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listDatasetsTest() throws Exception {
+    Dataset responsesElement = Dataset.newBuilder().build();
+    ListDatasetsResponse expectedResponse =
+        ListDatasetsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllDatasets(Arrays.asList(responsesElement))
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListDatasetsPagedResponse pagedListResponse = client.listDatasets(parent);
+
+    List<Dataset> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getDatasetsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListDatasetsRequest actualRequest = ((ListDatasetsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listDatasetsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listDatasets(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listDatasetsTest2() throws Exception {
+    Dataset responsesElement = Dataset.newBuilder().build();
+    ListDatasetsResponse expectedResponse =
+        ListDatasetsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllDatasets(Arrays.asList(responsesElement))
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListDatasetsPagedResponse pagedListResponse = client.listDatasets(parent);
+
+    List<Dataset> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getDatasetsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListDatasetsRequest actualRequest = ((ListDatasetsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listDatasetsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listDatasets(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteDatasetTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteDatasetTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockDatasetService.addResponse(resultOperation);
+
+    DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+
+    client.deleteDatasetAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteDatasetRequest actualRequest = ((DeleteDatasetRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteDatasetExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+      client.deleteDatasetAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteDatasetTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteDatasetTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockDatasetService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteDatasetAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteDatasetRequest actualRequest = ((DeleteDatasetRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteDatasetExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteDatasetAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void importDataTest() throws Exception {
+    ImportDataResponse expectedResponse = ImportDataResponse.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("importDataTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockDatasetService.addResponse(resultOperation);
+
+    DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+    List<ImportDataConfig> importConfigs = new ArrayList<>();
+
+    ImportDataResponse actualResponse = client.importDataAsync(name, importConfigs).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ImportDataRequest actualRequest = ((ImportDataRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertEquals(importConfigs, actualRequest.getImportConfigsList());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void importDataExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+      List<ImportDataConfig> importConfigs = new ArrayList<>();
+      client.importDataAsync(name, importConfigs).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void importDataTest2() throws Exception {
+    ImportDataResponse expectedResponse = ImportDataResponse.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("importDataTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockDatasetService.addResponse(resultOperation);
+
+    String name = "name3373707";
+    List<ImportDataConfig> importConfigs = new ArrayList<>();
+
+    ImportDataResponse actualResponse = client.importDataAsync(name, importConfigs).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ImportDataRequest actualRequest = ((ImportDataRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertEquals(importConfigs, actualRequest.getImportConfigsList());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void importDataExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      List<ImportDataConfig> importConfigs = new ArrayList<>();
+      client.importDataAsync(name, importConfigs).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void exportDataTest() throws Exception {
+    ExportDataResponse expectedResponse =
+        ExportDataResponse.newBuilder().addAllExportedFiles(new ArrayList<String>()).build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("exportDataTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockDatasetService.addResponse(resultOperation);
+
+    DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+    ExportDataConfig exportConfig = ExportDataConfig.newBuilder().build();
+
+    ExportDataResponse actualResponse = client.exportDataAsync(name, exportConfig).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ExportDataRequest actualRequest = ((ExportDataRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertEquals(exportConfig, actualRequest.getExportConfig());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void exportDataExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+      ExportDataConfig exportConfig = ExportDataConfig.newBuilder().build();
+      client.exportDataAsync(name, exportConfig).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void exportDataTest2() throws Exception {
+    ExportDataResponse expectedResponse =
+        ExportDataResponse.newBuilder().addAllExportedFiles(new ArrayList<String>()).build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("exportDataTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockDatasetService.addResponse(resultOperation);
+
+    String name = "name3373707";
+    ExportDataConfig exportConfig = ExportDataConfig.newBuilder().build();
+
+    ExportDataResponse actualResponse = client.exportDataAsync(name, exportConfig).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ExportDataRequest actualRequest = ((ExportDataRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertEquals(exportConfig, actualRequest.getExportConfig());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void exportDataExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      ExportDataConfig exportConfig = ExportDataConfig.newBuilder().build();
+      client.exportDataAsync(name, exportConfig).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void listDataItemsTest() throws Exception {
+    DataItem responsesElement = DataItem.newBuilder().build();
+    ListDataItemsResponse expectedResponse =
+        ListDataItemsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllDataItems(Arrays.asList(responsesElement))
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+
+    ListDataItemsPagedResponse pagedListResponse = client.listDataItems(parent);
+
+    List<DataItem> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getDataItemsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListDataItemsRequest actualRequest = ((ListDataItemsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listDataItemsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+      client.listDataItems(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listDataItemsTest2() throws Exception {
+    DataItem responsesElement = DataItem.newBuilder().build();
+    ListDataItemsResponse expectedResponse =
+        ListDataItemsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllDataItems(Arrays.asList(responsesElement))
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListDataItemsPagedResponse pagedListResponse = client.listDataItems(parent);
+
+    List<DataItem> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getDataItemsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListDataItemsRequest actualRequest = ((ListDataItemsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listDataItemsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listDataItems(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getAnnotationSpecTest() throws Exception {
+    AnnotationSpec expectedResponse =
+        AnnotationSpec.newBuilder()
+            .setName(
+                AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEtag("etag3123477")
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    AnnotationSpecName name =
+        AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
+
+    AnnotationSpec actualResponse = client.getAnnotationSpec(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetAnnotationSpecRequest actualRequest = ((GetAnnotationSpecRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getAnnotationSpecExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      AnnotationSpecName name =
+          AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
+      client.getAnnotationSpec(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getAnnotationSpecTest2() throws Exception {
+    AnnotationSpec expectedResponse =
+        AnnotationSpec.newBuilder()
+            .setName(
+                AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEtag("etag3123477")
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    AnnotationSpec actualResponse = client.getAnnotationSpec(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetAnnotationSpecRequest actualRequest = ((GetAnnotationSpecRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getAnnotationSpecExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getAnnotationSpec(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listAnnotationsTest() throws Exception {
+    Annotation responsesElement = Annotation.newBuilder().build();
+    ListAnnotationsResponse expectedResponse =
+        ListAnnotationsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllAnnotations(Arrays.asList(responsesElement))
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    DataItemName parent = DataItemName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[DATA_ITEM]");
+
+    ListAnnotationsPagedResponse pagedListResponse = client.listAnnotations(parent);
+
+    List<Annotation> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getAnnotationsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListAnnotationsRequest actualRequest = ((ListAnnotationsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listAnnotationsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      DataItemName parent = DataItemName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[DATA_ITEM]");
+      client.listAnnotations(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listAnnotationsTest2() throws Exception {
+    Annotation responsesElement = Annotation.newBuilder().build();
+    ListAnnotationsResponse expectedResponse =
+        ListAnnotationsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllAnnotations(Arrays.asList(responsesElement))
+            .build();
+    mockDatasetService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListAnnotationsPagedResponse pagedListResponse = client.listAnnotations(parent);
+
+    List<Annotation> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getAnnotationsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListAnnotationsRequest actualRequest = ((ListAnnotationsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listAnnotationsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockDatasetService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listAnnotations(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/EndpointServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/EndpointServiceClientTest.java
new file mode 100644
index 000000000..28c41a84b
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/EndpointServiceClientTest.java
@@ -0,0 +1,728 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.EndpointServiceClient.ListEndpointsPagedResponse;
+
+import com.google.api.gax.core.NoCredentialsProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.testing.LocalChannelProvider;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.api.gax.grpc.testing.MockServiceHelper;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.InvalidArgumentException;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Any;
+import com.google.protobuf.Empty;
+import com.google.protobuf.FieldMask;
+import com.google.protobuf.Timestamp;
+import io.grpc.StatusRuntimeException;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+import javax.annotation.Generated;
+import org.junit.After;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+@Generated("by gapic-generator-java")
+public class EndpointServiceClientTest {
+  private static MockServiceHelper mockServiceHelper;
+  private static MockEndpointService mockEndpointService;
+  private EndpointServiceClient client;
+  private LocalChannelProvider channelProvider;
+
+  @BeforeClass
+  public static void startStaticServer() {
+    mockEndpointService = new MockEndpointService();
+    mockServiceHelper =
+        new MockServiceHelper(
+            UUID.randomUUID().toString(), Arrays.<MockGrpcService>asList(mockEndpointService));
+    mockServiceHelper.start();
+  }
+
+  @AfterClass
+  public static void stopServer() {
+    mockServiceHelper.stop();
+  }
+
+  @Before
+  public void setUp() throws IOException {
+    mockServiceHelper.reset();
+    channelProvider = mockServiceHelper.createChannelProvider();
+    EndpointServiceSettings settings =
+        EndpointServiceSettings.newBuilder()
+            .setTransportChannelProvider(channelProvider)
+            .setCredentialsProvider(NoCredentialsProvider.create())
+            .build();
+    client = EndpointServiceClient.create(settings);
+  }
+
+  @After
+  public void tearDown() throws Exception {
+    client.close();
+  }
+
+  @Test
+  public void createEndpointTest() throws Exception {
+    Endpoint expectedResponse =
+        Endpoint.newBuilder()
+            .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+            .setDisplayName("displayName1714148973")
+            .setDescription("description-1724546052")
+            .addAllDeployedModels(new ArrayList<DeployedModel>())
+            .putAllTrafficSplit(new HashMap<String, Integer>())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("createEndpointTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockEndpointService.addResponse(resultOperation);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    Endpoint endpoint = Endpoint.newBuilder().build();
+
+    Endpoint actualResponse = client.createEndpointAsync(parent, endpoint).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateEndpointRequest actualRequest = ((CreateEndpointRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(endpoint, actualRequest.getEndpoint());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createEndpointExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      Endpoint endpoint = Endpoint.newBuilder().build();
+      client.createEndpointAsync(parent, endpoint).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void createEndpointTest2() throws Exception {
+    Endpoint expectedResponse =
+        Endpoint.newBuilder()
+            .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+            .setDisplayName("displayName1714148973")
+            .setDescription("description-1724546052")
+            .addAllDeployedModels(new ArrayList<DeployedModel>())
+            .putAllTrafficSplit(new HashMap<String, Integer>())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("createEndpointTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockEndpointService.addResponse(resultOperation);
+
+    String parent = "parent-995424086";
+    Endpoint endpoint = Endpoint.newBuilder().build();
+
+    Endpoint actualResponse = client.createEndpointAsync(parent, endpoint).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateEndpointRequest actualRequest = ((CreateEndpointRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(endpoint, actualRequest.getEndpoint());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createEndpointExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      Endpoint endpoint = Endpoint.newBuilder().build();
+      client.createEndpointAsync(parent, endpoint).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void getEndpointTest() throws Exception {
+    Endpoint expectedResponse =
+        Endpoint.newBuilder()
+            .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+            .setDisplayName("displayName1714148973")
+            .setDescription("description-1724546052")
+            .addAllDeployedModels(new ArrayList<DeployedModel>())
+            .putAllTrafficSplit(new HashMap<String, Integer>())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockEndpointService.addResponse(expectedResponse);
+
+    EndpointName name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+
+    Endpoint actualResponse = client.getEndpoint(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetEndpointRequest actualRequest = ((GetEndpointRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getEndpointExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      EndpointName name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+      client.getEndpoint(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getEndpointTest2() throws Exception {
+    Endpoint expectedResponse =
+        Endpoint.newBuilder()
+            .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+            .setDisplayName("displayName1714148973")
+            .setDescription("description-1724546052")
+            .addAllDeployedModels(new ArrayList<DeployedModel>())
+            .putAllTrafficSplit(new HashMap<String, Integer>())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockEndpointService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    Endpoint actualResponse = client.getEndpoint(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetEndpointRequest actualRequest = ((GetEndpointRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getEndpointExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getEndpoint(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listEndpointsTest() throws Exception {
+    Endpoint responsesElement = Endpoint.newBuilder().build();
+    ListEndpointsResponse expectedResponse =
+        ListEndpointsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllEndpoints(Arrays.asList(responsesElement))
+            .build();
+    mockEndpointService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListEndpointsPagedResponse pagedListResponse = client.listEndpoints(parent);
+
+    List<Endpoint> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getEndpointsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListEndpointsRequest actualRequest = ((ListEndpointsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listEndpointsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listEndpoints(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listEndpointsTest2() throws Exception {
+    Endpoint responsesElement = Endpoint.newBuilder().build();
+    ListEndpointsResponse expectedResponse =
+        ListEndpointsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllEndpoints(Arrays.asList(responsesElement))
+            .build();
+    mockEndpointService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListEndpointsPagedResponse pagedListResponse = client.listEndpoints(parent);
+
+    List<Endpoint> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getEndpointsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListEndpointsRequest actualRequest = ((ListEndpointsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listEndpointsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listEndpoints(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void updateEndpointTest() throws Exception {
+    Endpoint expectedResponse =
+        Endpoint.newBuilder()
+            .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+            .setDisplayName("displayName1714148973")
+            .setDescription("description-1724546052")
+            .addAllDeployedModels(new ArrayList<DeployedModel>())
+            .putAllTrafficSplit(new HashMap<String, Integer>())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockEndpointService.addResponse(expectedResponse);
+
+    Endpoint endpoint = Endpoint.newBuilder().build();
+    FieldMask updateMask = FieldMask.newBuilder().build();
+
+    Endpoint actualResponse = client.updateEndpoint(endpoint, updateMask);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    UpdateEndpointRequest actualRequest = ((UpdateEndpointRequest) actualRequests.get(0));
+
+    Assert.assertEquals(endpoint, actualRequest.getEndpoint());
+    Assert.assertEquals(updateMask, actualRequest.getUpdateMask());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void updateEndpointExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      Endpoint endpoint = Endpoint.newBuilder().build();
+      FieldMask updateMask = FieldMask.newBuilder().build();
+      client.updateEndpoint(endpoint, updateMask);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteEndpointTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteEndpointTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockEndpointService.addResponse(resultOperation);
+
+    EndpointName name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+
+    client.deleteEndpointAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteEndpointRequest actualRequest = ((DeleteEndpointRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteEndpointExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      EndpointName name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+      client.deleteEndpointAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteEndpointTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteEndpointTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockEndpointService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteEndpointAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteEndpointRequest actualRequest = ((DeleteEndpointRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteEndpointExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteEndpointAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deployModelTest() throws Exception {
+    DeployModelResponse expectedResponse =
+        DeployModelResponse.newBuilder()
+            .setDeployedModel(DeployedModel.newBuilder().build())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deployModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockEndpointService.addResponse(resultOperation);
+
+    EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+    DeployedModel deployedModel = DeployedModel.newBuilder().build();
+    Map<String, Integer> trafficSplit = new HashMap<>();
+
+    DeployModelResponse actualResponse =
+        client.deployModelAsync(endpoint, deployedModel, trafficSplit).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeployModelRequest actualRequest = ((DeployModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(endpoint.toString(), actualRequest.getEndpoint());
+    Assert.assertEquals(deployedModel, actualRequest.getDeployedModel());
+    Assert.assertEquals(trafficSplit, actualRequest.getTrafficSplitMap());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deployModelExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+      DeployedModel deployedModel = DeployedModel.newBuilder().build();
+      Map<String, Integer> trafficSplit = new HashMap<>();
+      client.deployModelAsync(endpoint, deployedModel, trafficSplit).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deployModelTest2() throws Exception {
+    DeployModelResponse expectedResponse =
+        DeployModelResponse.newBuilder()
+            .setDeployedModel(DeployedModel.newBuilder().build())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deployModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockEndpointService.addResponse(resultOperation);
+
+    String endpoint = "endpoint1741102485";
+    DeployedModel deployedModel = DeployedModel.newBuilder().build();
+    Map<String, Integer> trafficSplit = new HashMap<>();
+
+    DeployModelResponse actualResponse =
+        client.deployModelAsync(endpoint, deployedModel, trafficSplit).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeployModelRequest actualRequest = ((DeployModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(endpoint, actualRequest.getEndpoint());
+    Assert.assertEquals(deployedModel, actualRequest.getDeployedModel());
+    Assert.assertEquals(trafficSplit, actualRequest.getTrafficSplitMap());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deployModelExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      String endpoint = "endpoint1741102485";
+      DeployedModel deployedModel = DeployedModel.newBuilder().build();
+      Map<String, Integer> trafficSplit = new HashMap<>();
+      client.deployModelAsync(endpoint, deployedModel, trafficSplit).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void undeployModelTest() throws Exception {
+    UndeployModelResponse expectedResponse = UndeployModelResponse.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("undeployModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockEndpointService.addResponse(resultOperation);
+
+    EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+    String deployedModelId = "deployedModelId-1817547906";
+    Map<String, Integer> trafficSplit = new HashMap<>();
+
+    UndeployModelResponse actualResponse =
+        client.undeployModelAsync(endpoint, deployedModelId, trafficSplit).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    UndeployModelRequest actualRequest = ((UndeployModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(endpoint.toString(), actualRequest.getEndpoint());
+    Assert.assertEquals(deployedModelId, actualRequest.getDeployedModelId());
+    Assert.assertEquals(trafficSplit, actualRequest.getTrafficSplitMap());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void undeployModelExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+      String deployedModelId = "deployedModelId-1817547906";
+      Map<String, Integer> trafficSplit = new HashMap<>();
+      client.undeployModelAsync(endpoint, deployedModelId, trafficSplit).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void undeployModelTest2() throws Exception {
+    UndeployModelResponse expectedResponse = UndeployModelResponse.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("undeployModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockEndpointService.addResponse(resultOperation);
+
+    String endpoint = "endpoint1741102485";
+    String deployedModelId = "deployedModelId-1817547906";
+    Map<String, Integer> trafficSplit = new HashMap<>();
+
+    UndeployModelResponse actualResponse =
+        client.undeployModelAsync(endpoint, deployedModelId, trafficSplit).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockEndpointService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    UndeployModelRequest actualRequest = ((UndeployModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(endpoint, actualRequest.getEndpoint());
+    Assert.assertEquals(deployedModelId, actualRequest.getDeployedModelId());
+    Assert.assertEquals(trafficSplit, actualRequest.getTrafficSplitMap());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void undeployModelExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockEndpointService.addException(exception);
+
+    try {
+      String endpoint = "endpoint1741102485";
+      String deployedModelId = "deployedModelId-1817547906";
+      Map<String, Integer> trafficSplit = new HashMap<>();
+      client.undeployModelAsync(endpoint, deployedModelId, trafficSplit).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/JobServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/JobServiceClientTest.java
new file mode 100644
index 000000000..698734265
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/JobServiceClientTest.java
@@ -0,0 +1,1992 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListBatchPredictionJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListCustomJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListDataLabelingJobsPagedResponse;
+import static com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
+
+import com.google.api.gax.core.NoCredentialsProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.testing.LocalChannelProvider;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.api.gax.grpc.testing.MockServiceHelper;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.InvalidArgumentException;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Any;
+import com.google.protobuf.Empty;
+import com.google.protobuf.Timestamp;
+import com.google.protobuf.Value;
+import com.google.rpc.Status;
+import com.google.type.Money;
+import io.grpc.StatusRuntimeException;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+import javax.annotation.Generated;
+import org.junit.After;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+@Generated("by gapic-generator-java")
+public class JobServiceClientTest {
+  private static MockServiceHelper mockServiceHelper;
+  private JobServiceClient client;
+  private static MockJobService mockJobService;
+  private LocalChannelProvider channelProvider;
+
+  @BeforeClass
+  public static void startStaticServer() {
+    mockJobService = new MockJobService();
+    mockServiceHelper =
+        new MockServiceHelper(
+            UUID.randomUUID().toString(), Arrays.<MockGrpcService>asList(mockJobService));
+    mockServiceHelper.start();
+  }
+
+  @AfterClass
+  public static void stopServer() {
+    mockServiceHelper.stop();
+  }
+
+  @Before
+  public void setUp() throws IOException {
+    mockServiceHelper.reset();
+    channelProvider = mockServiceHelper.createChannelProvider();
+    JobServiceSettings settings =
+        JobServiceSettings.newBuilder()
+            .setTransportChannelProvider(channelProvider)
+            .setCredentialsProvider(NoCredentialsProvider.create())
+            .build();
+    client = JobServiceClient.create(settings);
+  }
+
+  @After
+  public void tearDown() throws Exception {
+    client.close();
+  }
+
+  @Test
+  public void createCustomJobTest() throws Exception {
+    CustomJob expectedResponse =
+        CustomJob.newBuilder()
+            .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+            .setDisplayName("displayName1714148973")
+            .setJobSpec(CustomJobSpec.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    CustomJob customJob = CustomJob.newBuilder().build();
+
+    CustomJob actualResponse = client.createCustomJob(parent, customJob);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateCustomJobRequest actualRequest = ((CreateCustomJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(customJob, actualRequest.getCustomJob());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createCustomJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      CustomJob customJob = CustomJob.newBuilder().build();
+      client.createCustomJob(parent, customJob);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void createCustomJobTest2() throws Exception {
+    CustomJob expectedResponse =
+        CustomJob.newBuilder()
+            .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+            .setDisplayName("displayName1714148973")
+            .setJobSpec(CustomJobSpec.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+    CustomJob customJob = CustomJob.newBuilder().build();
+
+    CustomJob actualResponse = client.createCustomJob(parent, customJob);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateCustomJobRequest actualRequest = ((CreateCustomJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(customJob, actualRequest.getCustomJob());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createCustomJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      CustomJob customJob = CustomJob.newBuilder().build();
+      client.createCustomJob(parent, customJob);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getCustomJobTest() throws Exception {
+    CustomJob expectedResponse =
+        CustomJob.newBuilder()
+            .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+            .setDisplayName("displayName1714148973")
+            .setJobSpec(CustomJobSpec.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+
+    CustomJob actualResponse = client.getCustomJob(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetCustomJobRequest actualRequest = ((GetCustomJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getCustomJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+      client.getCustomJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getCustomJobTest2() throws Exception {
+    CustomJob expectedResponse =
+        CustomJob.newBuilder()
+            .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+            .setDisplayName("displayName1714148973")
+            .setJobSpec(CustomJobSpec.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    CustomJob actualResponse = client.getCustomJob(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetCustomJobRequest actualRequest = ((GetCustomJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getCustomJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getCustomJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listCustomJobsTest() throws Exception {
+    CustomJob responsesElement = CustomJob.newBuilder().build();
+    ListCustomJobsResponse expectedResponse =
+        ListCustomJobsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllCustomJobs(Arrays.asList(responsesElement))
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListCustomJobsPagedResponse pagedListResponse = client.listCustomJobs(parent);
+
+    List<CustomJob> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getCustomJobsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListCustomJobsRequest actualRequest = ((ListCustomJobsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listCustomJobsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listCustomJobs(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listCustomJobsTest2() throws Exception {
+    CustomJob responsesElement = CustomJob.newBuilder().build();
+    ListCustomJobsResponse expectedResponse =
+        ListCustomJobsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllCustomJobs(Arrays.asList(responsesElement))
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListCustomJobsPagedResponse pagedListResponse = client.listCustomJobs(parent);
+
+    List<CustomJob> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getCustomJobsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListCustomJobsRequest actualRequest = ((ListCustomJobsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listCustomJobsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listCustomJobs(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteCustomJobTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteCustomJobTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockJobService.addResponse(resultOperation);
+
+    CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+
+    client.deleteCustomJobAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteCustomJobRequest actualRequest = ((DeleteCustomJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteCustomJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+      client.deleteCustomJobAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteCustomJobTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteCustomJobTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockJobService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteCustomJobAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteCustomJobRequest actualRequest = ((DeleteCustomJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteCustomJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteCustomJobAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void cancelCustomJobTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockJobService.addResponse(expectedResponse);
+
+    CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+
+    client.cancelCustomJob(name);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelCustomJobRequest actualRequest = ((CancelCustomJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelCustomJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+      client.cancelCustomJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void cancelCustomJobTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockJobService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    client.cancelCustomJob(name);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelCustomJobRequest actualRequest = ((CancelCustomJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelCustomJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.cancelCustomJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void createDataLabelingJobTest() throws Exception {
+    DataLabelingJob expectedResponse =
+        DataLabelingJob.newBuilder()
+            .setName(
+                DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]").toString())
+            .setDisplayName("displayName1714148973")
+            .addAllDatasets(new ArrayList<String>())
+            .putAllAnnotationLabels(new HashMap<String, String>())
+            .setLabelerCount(-1457777167)
+            .setInstructionUri("instructionUri1989242366")
+            .setInputsSchemaUri("inputsSchemaUri1757461538")
+            .setInputs(Value.newBuilder().build())
+            .setLabelingProgress(-685978914)
+            .setCurrentSpend(Money.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().build();
+
+    DataLabelingJob actualResponse = client.createDataLabelingJob(parent, dataLabelingJob);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateDataLabelingJobRequest actualRequest =
+        ((CreateDataLabelingJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(dataLabelingJob, actualRequest.getDataLabelingJob());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createDataLabelingJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().build();
+      client.createDataLabelingJob(parent, dataLabelingJob);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void createDataLabelingJobTest2() throws Exception {
+    DataLabelingJob expectedResponse =
+        DataLabelingJob.newBuilder()
+            .setName(
+                DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]").toString())
+            .setDisplayName("displayName1714148973")
+            .addAllDatasets(new ArrayList<String>())
+            .putAllAnnotationLabels(new HashMap<String, String>())
+            .setLabelerCount(-1457777167)
+            .setInstructionUri("instructionUri1989242366")
+            .setInputsSchemaUri("inputsSchemaUri1757461538")
+            .setInputs(Value.newBuilder().build())
+            .setLabelingProgress(-685978914)
+            .setCurrentSpend(Money.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+    DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().build();
+
+    DataLabelingJob actualResponse = client.createDataLabelingJob(parent, dataLabelingJob);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateDataLabelingJobRequest actualRequest =
+        ((CreateDataLabelingJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(dataLabelingJob, actualRequest.getDataLabelingJob());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createDataLabelingJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().build();
+      client.createDataLabelingJob(parent, dataLabelingJob);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getDataLabelingJobTest() throws Exception {
+    DataLabelingJob expectedResponse =
+        DataLabelingJob.newBuilder()
+            .setName(
+                DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]").toString())
+            .setDisplayName("displayName1714148973")
+            .addAllDatasets(new ArrayList<String>())
+            .putAllAnnotationLabels(new HashMap<String, String>())
+            .setLabelerCount(-1457777167)
+            .setInstructionUri("instructionUri1989242366")
+            .setInputsSchemaUri("inputsSchemaUri1757461538")
+            .setInputs(Value.newBuilder().build())
+            .setLabelingProgress(-685978914)
+            .setCurrentSpend(Money.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    DataLabelingJobName name =
+        DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+
+    DataLabelingJob actualResponse = client.getDataLabelingJob(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetDataLabelingJobRequest actualRequest = ((GetDataLabelingJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getDataLabelingJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      DataLabelingJobName name =
+          DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+      client.getDataLabelingJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getDataLabelingJobTest2() throws Exception {
+    DataLabelingJob expectedResponse =
+        DataLabelingJob.newBuilder()
+            .setName(
+                DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]").toString())
+            .setDisplayName("displayName1714148973")
+            .addAllDatasets(new ArrayList<String>())
+            .putAllAnnotationLabels(new HashMap<String, String>())
+            .setLabelerCount(-1457777167)
+            .setInstructionUri("instructionUri1989242366")
+            .setInputsSchemaUri("inputsSchemaUri1757461538")
+            .setInputs(Value.newBuilder().build())
+            .setLabelingProgress(-685978914)
+            .setCurrentSpend(Money.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    DataLabelingJob actualResponse = client.getDataLabelingJob(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetDataLabelingJobRequest actualRequest = ((GetDataLabelingJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getDataLabelingJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getDataLabelingJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listDataLabelingJobsTest() throws Exception {
+    DataLabelingJob responsesElement = DataLabelingJob.newBuilder().build();
+    ListDataLabelingJobsResponse expectedResponse =
+        ListDataLabelingJobsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllDataLabelingJobs(Arrays.asList(responsesElement))
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListDataLabelingJobsPagedResponse pagedListResponse = client.listDataLabelingJobs(parent);
+
+    List<DataLabelingJob> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getDataLabelingJobsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListDataLabelingJobsRequest actualRequest =
+        ((ListDataLabelingJobsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listDataLabelingJobsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listDataLabelingJobs(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listDataLabelingJobsTest2() throws Exception {
+    DataLabelingJob responsesElement = DataLabelingJob.newBuilder().build();
+    ListDataLabelingJobsResponse expectedResponse =
+        ListDataLabelingJobsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllDataLabelingJobs(Arrays.asList(responsesElement))
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListDataLabelingJobsPagedResponse pagedListResponse = client.listDataLabelingJobs(parent);
+
+    List<DataLabelingJob> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getDataLabelingJobsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListDataLabelingJobsRequest actualRequest =
+        ((ListDataLabelingJobsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listDataLabelingJobsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listDataLabelingJobs(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteDataLabelingJobTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteDataLabelingJobTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockJobService.addResponse(resultOperation);
+
+    DataLabelingJobName name =
+        DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+
+    client.deleteDataLabelingJobAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteDataLabelingJobRequest actualRequest =
+        ((DeleteDataLabelingJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteDataLabelingJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      DataLabelingJobName name =
+          DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+      client.deleteDataLabelingJobAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteDataLabelingJobTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteDataLabelingJobTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockJobService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteDataLabelingJobAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteDataLabelingJobRequest actualRequest =
+        ((DeleteDataLabelingJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteDataLabelingJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteDataLabelingJobAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void cancelDataLabelingJobTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockJobService.addResponse(expectedResponse);
+
+    DataLabelingJobName name =
+        DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+
+    client.cancelDataLabelingJob(name);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelDataLabelingJobRequest actualRequest =
+        ((CancelDataLabelingJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelDataLabelingJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      DataLabelingJobName name =
+          DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+      client.cancelDataLabelingJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void cancelDataLabelingJobTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockJobService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    client.cancelDataLabelingJob(name);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelDataLabelingJobRequest actualRequest =
+        ((CancelDataLabelingJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelDataLabelingJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.cancelDataLabelingJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void createHyperparameterTuningJobTest() throws Exception {
+    HyperparameterTuningJob expectedResponse =
+        HyperparameterTuningJob.newBuilder()
+            .setName(
+                HyperparameterTuningJobName.of(
+                        "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setStudySpec(StudySpec.newBuilder().build())
+            .setMaxTrialCount(-445994933)
+            .setParallelTrialCount(1813795950)
+            .setMaxFailedTrialCount(-887662497)
+            .setTrialJobSpec(CustomJobSpec.newBuilder().build())
+            .addAllTrials(new ArrayList<Trial>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    HyperparameterTuningJob hyperparameterTuningJob = HyperparameterTuningJob.newBuilder().build();
+
+    HyperparameterTuningJob actualResponse =
+        client.createHyperparameterTuningJob(parent, hyperparameterTuningJob);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateHyperparameterTuningJobRequest actualRequest =
+        ((CreateHyperparameterTuningJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(hyperparameterTuningJob, actualRequest.getHyperparameterTuningJob());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createHyperparameterTuningJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      HyperparameterTuningJob hyperparameterTuningJob =
+          HyperparameterTuningJob.newBuilder().build();
+      client.createHyperparameterTuningJob(parent, hyperparameterTuningJob);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void createHyperparameterTuningJobTest2() throws Exception {
+    HyperparameterTuningJob expectedResponse =
+        HyperparameterTuningJob.newBuilder()
+            .setName(
+                HyperparameterTuningJobName.of(
+                        "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setStudySpec(StudySpec.newBuilder().build())
+            .setMaxTrialCount(-445994933)
+            .setParallelTrialCount(1813795950)
+            .setMaxFailedTrialCount(-887662497)
+            .setTrialJobSpec(CustomJobSpec.newBuilder().build())
+            .addAllTrials(new ArrayList<Trial>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+    HyperparameterTuningJob hyperparameterTuningJob = HyperparameterTuningJob.newBuilder().build();
+
+    HyperparameterTuningJob actualResponse =
+        client.createHyperparameterTuningJob(parent, hyperparameterTuningJob);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateHyperparameterTuningJobRequest actualRequest =
+        ((CreateHyperparameterTuningJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(hyperparameterTuningJob, actualRequest.getHyperparameterTuningJob());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createHyperparameterTuningJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      HyperparameterTuningJob hyperparameterTuningJob =
+          HyperparameterTuningJob.newBuilder().build();
+      client.createHyperparameterTuningJob(parent, hyperparameterTuningJob);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getHyperparameterTuningJobTest() throws Exception {
+    HyperparameterTuningJob expectedResponse =
+        HyperparameterTuningJob.newBuilder()
+            .setName(
+                HyperparameterTuningJobName.of(
+                        "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setStudySpec(StudySpec.newBuilder().build())
+            .setMaxTrialCount(-445994933)
+            .setParallelTrialCount(1813795950)
+            .setMaxFailedTrialCount(-887662497)
+            .setTrialJobSpec(CustomJobSpec.newBuilder().build())
+            .addAllTrials(new ArrayList<Trial>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    HyperparameterTuningJobName name =
+        HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+
+    HyperparameterTuningJob actualResponse = client.getHyperparameterTuningJob(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetHyperparameterTuningJobRequest actualRequest =
+        ((GetHyperparameterTuningJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getHyperparameterTuningJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      HyperparameterTuningJobName name =
+          HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+      client.getHyperparameterTuningJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getHyperparameterTuningJobTest2() throws Exception {
+    HyperparameterTuningJob expectedResponse =
+        HyperparameterTuningJob.newBuilder()
+            .setName(
+                HyperparameterTuningJobName.of(
+                        "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setStudySpec(StudySpec.newBuilder().build())
+            .setMaxTrialCount(-445994933)
+            .setParallelTrialCount(1813795950)
+            .setMaxFailedTrialCount(-887662497)
+            .setTrialJobSpec(CustomJobSpec.newBuilder().build())
+            .addAllTrials(new ArrayList<Trial>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    HyperparameterTuningJob actualResponse = client.getHyperparameterTuningJob(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetHyperparameterTuningJobRequest actualRequest =
+        ((GetHyperparameterTuningJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getHyperparameterTuningJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getHyperparameterTuningJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listHyperparameterTuningJobsTest() throws Exception {
+    HyperparameterTuningJob responsesElement = HyperparameterTuningJob.newBuilder().build();
+    ListHyperparameterTuningJobsResponse expectedResponse =
+        ListHyperparameterTuningJobsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllHyperparameterTuningJobs(Arrays.asList(responsesElement))
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListHyperparameterTuningJobsPagedResponse pagedListResponse =
+        client.listHyperparameterTuningJobs(parent);
+
+    List<HyperparameterTuningJob> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(
+        expectedResponse.getHyperparameterTuningJobsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListHyperparameterTuningJobsRequest actualRequest =
+        ((ListHyperparameterTuningJobsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listHyperparameterTuningJobsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listHyperparameterTuningJobs(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listHyperparameterTuningJobsTest2() throws Exception {
+    HyperparameterTuningJob responsesElement = HyperparameterTuningJob.newBuilder().build();
+    ListHyperparameterTuningJobsResponse expectedResponse =
+        ListHyperparameterTuningJobsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllHyperparameterTuningJobs(Arrays.asList(responsesElement))
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListHyperparameterTuningJobsPagedResponse pagedListResponse =
+        client.listHyperparameterTuningJobs(parent);
+
+    List<HyperparameterTuningJob> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(
+        expectedResponse.getHyperparameterTuningJobsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListHyperparameterTuningJobsRequest actualRequest =
+        ((ListHyperparameterTuningJobsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listHyperparameterTuningJobsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listHyperparameterTuningJobs(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteHyperparameterTuningJobTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteHyperparameterTuningJobTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockJobService.addResponse(resultOperation);
+
+    HyperparameterTuningJobName name =
+        HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+
+    client.deleteHyperparameterTuningJobAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteHyperparameterTuningJobRequest actualRequest =
+        ((DeleteHyperparameterTuningJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteHyperparameterTuningJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      HyperparameterTuningJobName name =
+          HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+      client.deleteHyperparameterTuningJobAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteHyperparameterTuningJobTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteHyperparameterTuningJobTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockJobService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteHyperparameterTuningJobAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteHyperparameterTuningJobRequest actualRequest =
+        ((DeleteHyperparameterTuningJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteHyperparameterTuningJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteHyperparameterTuningJobAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void cancelHyperparameterTuningJobTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockJobService.addResponse(expectedResponse);
+
+    HyperparameterTuningJobName name =
+        HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+
+    client.cancelHyperparameterTuningJob(name);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelHyperparameterTuningJobRequest actualRequest =
+        ((CancelHyperparameterTuningJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelHyperparameterTuningJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      HyperparameterTuningJobName name =
+          HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+      client.cancelHyperparameterTuningJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void cancelHyperparameterTuningJobTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockJobService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    client.cancelHyperparameterTuningJob(name);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelHyperparameterTuningJobRequest actualRequest =
+        ((CancelHyperparameterTuningJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelHyperparameterTuningJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.cancelHyperparameterTuningJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void createBatchPredictionJobTest() throws Exception {
+    BatchPredictionJob expectedResponse =
+        BatchPredictionJob.newBuilder()
+            .setName(
+                BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build())
+            .setModelParameters(Value.newBuilder().build())
+            .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build())
+            .setDedicatedResources(BatchDedicatedResources.newBuilder().build())
+            .setManualBatchTuningParameters(ManualBatchTuningParameters.newBuilder().build())
+            .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .addAllPartialFailures(new ArrayList<Status>())
+            .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
+            .setCompletionStats(CompletionStats.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    BatchPredictionJob batchPredictionJob = BatchPredictionJob.newBuilder().build();
+
+    BatchPredictionJob actualResponse = client.createBatchPredictionJob(parent, batchPredictionJob);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateBatchPredictionJobRequest actualRequest =
+        ((CreateBatchPredictionJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(batchPredictionJob, actualRequest.getBatchPredictionJob());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createBatchPredictionJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      BatchPredictionJob batchPredictionJob = BatchPredictionJob.newBuilder().build();
+      client.createBatchPredictionJob(parent, batchPredictionJob);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void createBatchPredictionJobTest2() throws Exception {
+    BatchPredictionJob expectedResponse =
+        BatchPredictionJob.newBuilder()
+            .setName(
+                BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build())
+            .setModelParameters(Value.newBuilder().build())
+            .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build())
+            .setDedicatedResources(BatchDedicatedResources.newBuilder().build())
+            .setManualBatchTuningParameters(ManualBatchTuningParameters.newBuilder().build())
+            .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .addAllPartialFailures(new ArrayList<Status>())
+            .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
+            .setCompletionStats(CompletionStats.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+    BatchPredictionJob batchPredictionJob = BatchPredictionJob.newBuilder().build();
+
+    BatchPredictionJob actualResponse = client.createBatchPredictionJob(parent, batchPredictionJob);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateBatchPredictionJobRequest actualRequest =
+        ((CreateBatchPredictionJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(batchPredictionJob, actualRequest.getBatchPredictionJob());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createBatchPredictionJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      BatchPredictionJob batchPredictionJob = BatchPredictionJob.newBuilder().build();
+      client.createBatchPredictionJob(parent, batchPredictionJob);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getBatchPredictionJobTest() throws Exception {
+    BatchPredictionJob expectedResponse =
+        BatchPredictionJob.newBuilder()
+            .setName(
+                BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build())
+            .setModelParameters(Value.newBuilder().build())
+            .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build())
+            .setDedicatedResources(BatchDedicatedResources.newBuilder().build())
+            .setManualBatchTuningParameters(ManualBatchTuningParameters.newBuilder().build())
+            .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .addAllPartialFailures(new ArrayList<Status>())
+            .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
+            .setCompletionStats(CompletionStats.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    BatchPredictionJobName name =
+        BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+
+    BatchPredictionJob actualResponse = client.getBatchPredictionJob(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetBatchPredictionJobRequest actualRequest =
+        ((GetBatchPredictionJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getBatchPredictionJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      BatchPredictionJobName name =
+          BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+      client.getBatchPredictionJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getBatchPredictionJobTest2() throws Exception {
+    BatchPredictionJob expectedResponse =
+        BatchPredictionJob.newBuilder()
+            .setName(
+                BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setInputConfig(BatchPredictionJob.InputConfig.newBuilder().build())
+            .setModelParameters(Value.newBuilder().build())
+            .setOutputConfig(BatchPredictionJob.OutputConfig.newBuilder().build())
+            .setDedicatedResources(BatchDedicatedResources.newBuilder().build())
+            .setManualBatchTuningParameters(ManualBatchTuningParameters.newBuilder().build())
+            .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .addAllPartialFailures(new ArrayList<Status>())
+            .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
+            .setCompletionStats(CompletionStats.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    BatchPredictionJob actualResponse = client.getBatchPredictionJob(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetBatchPredictionJobRequest actualRequest =
+        ((GetBatchPredictionJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getBatchPredictionJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getBatchPredictionJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listBatchPredictionJobsTest() throws Exception {
+    BatchPredictionJob responsesElement = BatchPredictionJob.newBuilder().build();
+    ListBatchPredictionJobsResponse expectedResponse =
+        ListBatchPredictionJobsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllBatchPredictionJobs(Arrays.asList(responsesElement))
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListBatchPredictionJobsPagedResponse pagedListResponse = client.listBatchPredictionJobs(parent);
+
+    List<BatchPredictionJob> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getBatchPredictionJobsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListBatchPredictionJobsRequest actualRequest =
+        ((ListBatchPredictionJobsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listBatchPredictionJobsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listBatchPredictionJobs(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listBatchPredictionJobsTest2() throws Exception {
+    BatchPredictionJob responsesElement = BatchPredictionJob.newBuilder().build();
+    ListBatchPredictionJobsResponse expectedResponse =
+        ListBatchPredictionJobsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllBatchPredictionJobs(Arrays.asList(responsesElement))
+            .build();
+    mockJobService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListBatchPredictionJobsPagedResponse pagedListResponse = client.listBatchPredictionJobs(parent);
+
+    List<BatchPredictionJob> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getBatchPredictionJobsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListBatchPredictionJobsRequest actualRequest =
+        ((ListBatchPredictionJobsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listBatchPredictionJobsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listBatchPredictionJobs(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteBatchPredictionJobTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteBatchPredictionJobTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockJobService.addResponse(resultOperation);
+
+    BatchPredictionJobName name =
+        BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+
+    client.deleteBatchPredictionJobAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteBatchPredictionJobRequest actualRequest =
+        ((DeleteBatchPredictionJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteBatchPredictionJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      BatchPredictionJobName name =
+          BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+      client.deleteBatchPredictionJobAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteBatchPredictionJobTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteBatchPredictionJobTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockJobService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteBatchPredictionJobAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteBatchPredictionJobRequest actualRequest =
+        ((DeleteBatchPredictionJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteBatchPredictionJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteBatchPredictionJobAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void cancelBatchPredictionJobTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockJobService.addResponse(expectedResponse);
+
+    BatchPredictionJobName name =
+        BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+
+    client.cancelBatchPredictionJob(name);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelBatchPredictionJobRequest actualRequest =
+        ((CancelBatchPredictionJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelBatchPredictionJobExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      BatchPredictionJobName name =
+          BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+      client.cancelBatchPredictionJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void cancelBatchPredictionJobTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockJobService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    client.cancelBatchPredictionJob(name);
+
+    List<AbstractMessage> actualRequests = mockJobService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelBatchPredictionJobRequest actualRequest =
+        ((CancelBatchPredictionJobRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelBatchPredictionJobExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockJobService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.cancelBatchPredictionJob(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MigrationServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MigrationServiceClientTest.java
new file mode 100644
index 000000000..321c78f31
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MigrationServiceClientTest.java
@@ -0,0 +1,279 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
+
+import com.google.api.gax.core.NoCredentialsProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.testing.LocalChannelProvider;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.api.gax.grpc.testing.MockServiceHelper;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.InvalidArgumentException;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Any;
+import io.grpc.StatusRuntimeException;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+import javax.annotation.Generated;
+import org.junit.After;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+@Generated("by gapic-generator-java")
+public class MigrationServiceClientTest {
+  private static MockMigrationService mockMigrationService;
+  private static MockServiceHelper mockServiceHelper;
+  private MigrationServiceClient client;
+  private LocalChannelProvider channelProvider;
+
+  @BeforeClass
+  public static void startStaticServer() {
+    mockMigrationService = new MockMigrationService();
+    mockServiceHelper =
+        new MockServiceHelper(
+            UUID.randomUUID().toString(), Arrays.<MockGrpcService>asList(mockMigrationService));
+    mockServiceHelper.start();
+  }
+
+  @AfterClass
+  public static void stopServer() {
+    mockServiceHelper.stop();
+  }
+
+  @Before
+  public void setUp() throws IOException {
+    mockServiceHelper.reset();
+    channelProvider = mockServiceHelper.createChannelProvider();
+    MigrationServiceSettings settings =
+        MigrationServiceSettings.newBuilder()
+            .setTransportChannelProvider(channelProvider)
+            .setCredentialsProvider(NoCredentialsProvider.create())
+            .build();
+    client = MigrationServiceClient.create(settings);
+  }
+
+  @After
+  public void tearDown() throws Exception {
+    client.close();
+  }
+
+  @Test
+  public void searchMigratableResourcesTest() throws Exception {
+    MigratableResource responsesElement = MigratableResource.newBuilder().build();
+    SearchMigratableResourcesResponse expectedResponse =
+        SearchMigratableResourcesResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllMigratableResources(Arrays.asList(responsesElement))
+            .build();
+    mockMigrationService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    SearchMigratableResourcesPagedResponse pagedListResponse =
+        client.searchMigratableResources(parent);
+
+    List<MigratableResource> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getMigratableResourcesList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockMigrationService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    SearchMigratableResourcesRequest actualRequest =
+        ((SearchMigratableResourcesRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void searchMigratableResourcesExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockMigrationService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.searchMigratableResources(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void searchMigratableResourcesTest2() throws Exception {
+    MigratableResource responsesElement = MigratableResource.newBuilder().build();
+    SearchMigratableResourcesResponse expectedResponse =
+        SearchMigratableResourcesResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllMigratableResources(Arrays.asList(responsesElement))
+            .build();
+    mockMigrationService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    SearchMigratableResourcesPagedResponse pagedListResponse =
+        client.searchMigratableResources(parent);
+
+    List<MigratableResource> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getMigratableResourcesList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockMigrationService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    SearchMigratableResourcesRequest actualRequest =
+        ((SearchMigratableResourcesRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void searchMigratableResourcesExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockMigrationService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.searchMigratableResources(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void batchMigrateResourcesTest() throws Exception {
+    BatchMigrateResourcesResponse expectedResponse =
+        BatchMigrateResourcesResponse.newBuilder()
+            .addAllMigrateResourceResponses(new ArrayList<MigrateResourceResponse>())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("batchMigrateResourcesTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockMigrationService.addResponse(resultOperation);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    List<MigrateResourceRequest> migrateResourceRequests = new ArrayList<>();
+
+    BatchMigrateResourcesResponse actualResponse =
+        client.batchMigrateResourcesAsync(parent, migrateResourceRequests).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockMigrationService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    BatchMigrateResourcesRequest actualRequest =
+        ((BatchMigrateResourcesRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(migrateResourceRequests, actualRequest.getMigrateResourceRequestsList());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void batchMigrateResourcesExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockMigrationService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      List<MigrateResourceRequest> migrateResourceRequests = new ArrayList<>();
+      client.batchMigrateResourcesAsync(parent, migrateResourceRequests).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void batchMigrateResourcesTest2() throws Exception {
+    BatchMigrateResourcesResponse expectedResponse =
+        BatchMigrateResourcesResponse.newBuilder()
+            .addAllMigrateResourceResponses(new ArrayList<MigrateResourceResponse>())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("batchMigrateResourcesTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockMigrationService.addResponse(resultOperation);
+
+    String parent = "parent-995424086";
+    List<MigrateResourceRequest> migrateResourceRequests = new ArrayList<>();
+
+    BatchMigrateResourcesResponse actualResponse =
+        client.batchMigrateResourcesAsync(parent, migrateResourceRequests).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockMigrationService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    BatchMigrateResourcesRequest actualRequest =
+        ((BatchMigrateResourcesRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(migrateResourceRequests, actualRequest.getMigrateResourceRequestsList());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void batchMigrateResourcesExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockMigrationService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      List<MigrateResourceRequest> migrateResourceRequests = new ArrayList<>();
+      client.batchMigrateResourcesAsync(parent, migrateResourceRequests).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockDatasetService.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockDatasetService.java
new file mode 100644
index 000000000..2538933ff
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockDatasetService.java
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.ServerServiceDefinition;
+import java.util.List;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockDatasetService implements MockGrpcService {
+  private final MockDatasetServiceImpl serviceImpl;
+
+  public MockDatasetService() {
+    serviceImpl = new MockDatasetServiceImpl();
+  }
+
+  @Override
+  public List<AbstractMessage> getRequests() {
+    return serviceImpl.getRequests();
+  }
+
+  @Override
+  public void addResponse(AbstractMessage response) {
+    serviceImpl.addResponse(response);
+  }
+
+  @Override
+  public void addException(Exception exception) {
+    serviceImpl.addException(exception);
+  }
+
+  @Override
+  public ServerServiceDefinition getServiceDefinition() {
+    return serviceImpl.bindService();
+  }
+
+  @Override
+  public void reset() {
+    serviceImpl.reset();
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockDatasetServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockDatasetServiceImpl.java
new file mode 100644
index 000000000..44effe1fc
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockDatasetServiceImpl.java
@@ -0,0 +1,208 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.cloud.aiplatform.v1.DatasetServiceGrpc.DatasetServiceImplBase;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.stub.StreamObserver;
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockDatasetServiceImpl extends DatasetServiceImplBase {
+  private List<AbstractMessage> requests;
+  private Queue<Object> responses;
+
+  public MockDatasetServiceImpl() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  public List<AbstractMessage> getRequests() {
+    return requests;
+  }
+
+  public void addResponse(AbstractMessage response) {
+    responses.add(response);
+  }
+
+  public void setResponses(List<AbstractMessage> responses) {
+    this.responses = new LinkedList<Object>(responses);
+  }
+
+  public void addException(Exception exception) {
+    responses.add(exception);
+  }
+
+  public void reset() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  @Override
+  public void createDataset(
+      CreateDatasetRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getDataset(GetDatasetRequest request, StreamObserver<Dataset> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Dataset) {
+      requests.add(request);
+      responseObserver.onNext(((Dataset) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void updateDataset(
+      UpdateDatasetRequest request, StreamObserver<Dataset> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Dataset) {
+      requests.add(request);
+      responseObserver.onNext(((Dataset) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listDatasets(
+      ListDatasetsRequest request, StreamObserver<ListDatasetsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListDatasetsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListDatasetsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteDataset(
+      DeleteDatasetRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void importData(ImportDataRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void exportData(ExportDataRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listDataItems(
+      ListDataItemsRequest request, StreamObserver<ListDataItemsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListDataItemsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListDataItemsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getAnnotationSpec(
+      GetAnnotationSpecRequest request, StreamObserver<AnnotationSpec> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof AnnotationSpec) {
+      requests.add(request);
+      responseObserver.onNext(((AnnotationSpec) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listAnnotations(
+      ListAnnotationsRequest request, StreamObserver<ListAnnotationsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListAnnotationsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListAnnotationsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockEndpointService.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockEndpointService.java
new file mode 100644
index 000000000..24408ea62
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockEndpointService.java
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.ServerServiceDefinition;
+import java.util.List;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockEndpointService implements MockGrpcService {
+  private final MockEndpointServiceImpl serviceImpl;
+
+  public MockEndpointService() {
+    serviceImpl = new MockEndpointServiceImpl();
+  }
+
+  @Override
+  public List<AbstractMessage> getRequests() {
+    return serviceImpl.getRequests();
+  }
+
+  @Override
+  public void addResponse(AbstractMessage response) {
+    serviceImpl.addResponse(response);
+  }
+
+  @Override
+  public void addException(Exception exception) {
+    serviceImpl.addException(exception);
+  }
+
+  @Override
+  public ServerServiceDefinition getServiceDefinition() {
+    return serviceImpl.bindService();
+  }
+
+  @Override
+  public void reset() {
+    serviceImpl.reset();
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockEndpointServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockEndpointServiceImpl.java
new file mode 100644
index 000000000..ccc761e64
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockEndpointServiceImpl.java
@@ -0,0 +1,164 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.cloud.aiplatform.v1.EndpointServiceGrpc.EndpointServiceImplBase;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.stub.StreamObserver;
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockEndpointServiceImpl extends EndpointServiceImplBase {
+  private List<AbstractMessage> requests;
+  private Queue<Object> responses;
+
+  public MockEndpointServiceImpl() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  public List<AbstractMessage> getRequests() {
+    return requests;
+  }
+
+  public void addResponse(AbstractMessage response) {
+    responses.add(response);
+  }
+
+  public void setResponses(List<AbstractMessage> responses) {
+    this.responses = new LinkedList<Object>(responses);
+  }
+
+  public void addException(Exception exception) {
+    responses.add(exception);
+  }
+
+  public void reset() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  @Override
+  public void createEndpoint(
+      CreateEndpointRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getEndpoint(GetEndpointRequest request, StreamObserver<Endpoint> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Endpoint) {
+      requests.add(request);
+      responseObserver.onNext(((Endpoint) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listEndpoints(
+      ListEndpointsRequest request, StreamObserver<ListEndpointsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListEndpointsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListEndpointsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void updateEndpoint(
+      UpdateEndpointRequest request, StreamObserver<Endpoint> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Endpoint) {
+      requests.add(request);
+      responseObserver.onNext(((Endpoint) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteEndpoint(
+      DeleteEndpointRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deployModel(DeployModelRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void undeployModel(
+      UndeployModelRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockJobService.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockJobService.java
new file mode 100644
index 000000000..715b6c4db
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockJobService.java
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.ServerServiceDefinition;
+import java.util.List;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockJobService implements MockGrpcService {
+  private final MockJobServiceImpl serviceImpl;
+
+  public MockJobService() {
+    serviceImpl = new MockJobServiceImpl();
+  }
+
+  @Override
+  public List<AbstractMessage> getRequests() {
+    return serviceImpl.getRequests();
+  }
+
+  @Override
+  public void addResponse(AbstractMessage response) {
+    serviceImpl.addResponse(response);
+  }
+
+  @Override
+  public void addException(Exception exception) {
+    serviceImpl.addException(exception);
+  }
+
+  @Override
+  public ServerServiceDefinition getServiceDefinition() {
+    return serviceImpl.bindService();
+  }
+
+  @Override
+  public void reset() {
+    serviceImpl.reset();
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockJobServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockJobServiceImpl.java
new file mode 100644
index 000000000..81e8c05b9
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockJobServiceImpl.java
@@ -0,0 +1,368 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.cloud.aiplatform.v1.JobServiceGrpc.JobServiceImplBase;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Empty;
+import io.grpc.stub.StreamObserver;
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockJobServiceImpl extends JobServiceImplBase {
+  private List<AbstractMessage> requests;
+  private Queue<Object> responses;
+
+  public MockJobServiceImpl() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  public List<AbstractMessage> getRequests() {
+    return requests;
+  }
+
+  public void addResponse(AbstractMessage response) {
+    responses.add(response);
+  }
+
+  public void setResponses(List<AbstractMessage> responses) {
+    this.responses = new LinkedList<Object>(responses);
+  }
+
+  public void addException(Exception exception) {
+    responses.add(exception);
+  }
+
+  public void reset() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  @Override
+  public void createCustomJob(
+      CreateCustomJobRequest request, StreamObserver<CustomJob> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof CustomJob) {
+      requests.add(request);
+      responseObserver.onNext(((CustomJob) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getCustomJob(
+      GetCustomJobRequest request, StreamObserver<CustomJob> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof CustomJob) {
+      requests.add(request);
+      responseObserver.onNext(((CustomJob) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listCustomJobs(
+      ListCustomJobsRequest request, StreamObserver<ListCustomJobsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListCustomJobsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListCustomJobsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteCustomJob(
+      DeleteCustomJobRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void cancelCustomJob(
+      CancelCustomJobRequest request, StreamObserver<Empty> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Empty) {
+      requests.add(request);
+      responseObserver.onNext(((Empty) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void createDataLabelingJob(
+      CreateDataLabelingJobRequest request, StreamObserver<DataLabelingJob> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof DataLabelingJob) {
+      requests.add(request);
+      responseObserver.onNext(((DataLabelingJob) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getDataLabelingJob(
+      GetDataLabelingJobRequest request, StreamObserver<DataLabelingJob> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof DataLabelingJob) {
+      requests.add(request);
+      responseObserver.onNext(((DataLabelingJob) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listDataLabelingJobs(
+      ListDataLabelingJobsRequest request,
+      StreamObserver<ListDataLabelingJobsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListDataLabelingJobsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListDataLabelingJobsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteDataLabelingJob(
+      DeleteDataLabelingJobRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void cancelDataLabelingJob(
+      CancelDataLabelingJobRequest request, StreamObserver<Empty> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Empty) {
+      requests.add(request);
+      responseObserver.onNext(((Empty) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void createHyperparameterTuningJob(
+      CreateHyperparameterTuningJobRequest request,
+      StreamObserver<HyperparameterTuningJob> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof HyperparameterTuningJob) {
+      requests.add(request);
+      responseObserver.onNext(((HyperparameterTuningJob) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getHyperparameterTuningJob(
+      GetHyperparameterTuningJobRequest request,
+      StreamObserver<HyperparameterTuningJob> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof HyperparameterTuningJob) {
+      requests.add(request);
+      responseObserver.onNext(((HyperparameterTuningJob) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listHyperparameterTuningJobs(
+      ListHyperparameterTuningJobsRequest request,
+      StreamObserver<ListHyperparameterTuningJobsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListHyperparameterTuningJobsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListHyperparameterTuningJobsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteHyperparameterTuningJob(
+      DeleteHyperparameterTuningJobRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void cancelHyperparameterTuningJob(
+      CancelHyperparameterTuningJobRequest request, StreamObserver<Empty> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Empty) {
+      requests.add(request);
+      responseObserver.onNext(((Empty) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void createBatchPredictionJob(
+      CreateBatchPredictionJobRequest request,
+      StreamObserver<BatchPredictionJob> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof BatchPredictionJob) {
+      requests.add(request);
+      responseObserver.onNext(((BatchPredictionJob) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getBatchPredictionJob(
+      GetBatchPredictionJobRequest request, StreamObserver<BatchPredictionJob> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof BatchPredictionJob) {
+      requests.add(request);
+      responseObserver.onNext(((BatchPredictionJob) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listBatchPredictionJobs(
+      ListBatchPredictionJobsRequest request,
+      StreamObserver<ListBatchPredictionJobsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListBatchPredictionJobsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListBatchPredictionJobsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteBatchPredictionJob(
+      DeleteBatchPredictionJobRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void cancelBatchPredictionJob(
+      CancelBatchPredictionJobRequest request, StreamObserver<Empty> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Empty) {
+      requests.add(request);
+      responseObserver.onNext(((Empty) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockMigrationService.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockMigrationService.java
new file mode 100644
index 000000000..7b7bfc831
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockMigrationService.java
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.ServerServiceDefinition;
+import java.util.List;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockMigrationService implements MockGrpcService {
+  private final MockMigrationServiceImpl serviceImpl;
+
+  public MockMigrationService() {
+    serviceImpl = new MockMigrationServiceImpl();
+  }
+
+  @Override
+  public List<AbstractMessage> getRequests() {
+    return serviceImpl.getRequests();
+  }
+
+  @Override
+  public void addResponse(AbstractMessage response) {
+    serviceImpl.addResponse(response);
+  }
+
+  @Override
+  public void addException(Exception exception) {
+    serviceImpl.addException(exception);
+  }
+
+  @Override
+  public ServerServiceDefinition getServiceDefinition() {
+    return serviceImpl.bindService();
+  }
+
+  @Override
+  public void reset() {
+    serviceImpl.reset();
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockMigrationServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockMigrationServiceImpl.java
new file mode 100644
index 000000000..e2935c8ad
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockMigrationServiceImpl.java
@@ -0,0 +1,92 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.cloud.aiplatform.v1.MigrationServiceGrpc.MigrationServiceImplBase;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.stub.StreamObserver;
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockMigrationServiceImpl extends MigrationServiceImplBase {
+  private List<AbstractMessage> requests;
+  private Queue<Object> responses;
+
+  public MockMigrationServiceImpl() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  public List<AbstractMessage> getRequests() {
+    return requests;
+  }
+
+  public void addResponse(AbstractMessage response) {
+    responses.add(response);
+  }
+
+  public void setResponses(List<AbstractMessage> responses) {
+    this.responses = new LinkedList<Object>(responses);
+  }
+
+  public void addException(Exception exception) {
+    responses.add(exception);
+  }
+
+  public void reset() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  @Override
+  public void searchMigratableResources(
+      SearchMigratableResourcesRequest request,
+      StreamObserver<SearchMigratableResourcesResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof SearchMigratableResourcesResponse) {
+      requests.add(request);
+      responseObserver.onNext(((SearchMigratableResourcesResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void batchMigrateResources(
+      BatchMigrateResourcesRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockModelService.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockModelService.java
new file mode 100644
index 000000000..c12ec682a
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockModelService.java
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.ServerServiceDefinition;
+import java.util.List;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockModelService implements MockGrpcService {
+  private final MockModelServiceImpl serviceImpl;
+
+  public MockModelService() {
+    serviceImpl = new MockModelServiceImpl();
+  }
+
+  @Override
+  public List<AbstractMessage> getRequests() {
+    return serviceImpl.getRequests();
+  }
+
+  @Override
+  public void addResponse(AbstractMessage response) {
+    serviceImpl.addResponse(response);
+  }
+
+  @Override
+  public void addException(Exception exception) {
+    serviceImpl.addException(exception);
+  }
+
+  @Override
+  public ServerServiceDefinition getServiceDefinition() {
+    return serviceImpl.bindService();
+  }
+
+  @Override
+  public void reset() {
+    serviceImpl.reset();
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockModelServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockModelServiceImpl.java
new file mode 100644
index 000000000..250f9ac78
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockModelServiceImpl.java
@@ -0,0 +1,209 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.cloud.aiplatform.v1.ModelServiceGrpc.ModelServiceImplBase;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.stub.StreamObserver;
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockModelServiceImpl extends ModelServiceImplBase {
+  private List<AbstractMessage> requests;
+  private Queue<Object> responses;
+
+  public MockModelServiceImpl() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  public List<AbstractMessage> getRequests() {
+    return requests;
+  }
+
+  public void addResponse(AbstractMessage response) {
+    responses.add(response);
+  }
+
+  public void setResponses(List<AbstractMessage> responses) {
+    this.responses = new LinkedList<Object>(responses);
+  }
+
+  public void addException(Exception exception) {
+    responses.add(exception);
+  }
+
+  public void reset() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  @Override
+  public void uploadModel(UploadModelRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getModel(GetModelRequest request, StreamObserver<Model> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Model) {
+      requests.add(request);
+      responseObserver.onNext(((Model) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listModels(
+      ListModelsRequest request, StreamObserver<ListModelsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListModelsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListModelsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void updateModel(UpdateModelRequest request, StreamObserver<Model> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Model) {
+      requests.add(request);
+      responseObserver.onNext(((Model) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteModel(DeleteModelRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void exportModel(ExportModelRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getModelEvaluation(
+      GetModelEvaluationRequest request, StreamObserver<ModelEvaluation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ModelEvaluation) {
+      requests.add(request);
+      responseObserver.onNext(((ModelEvaluation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listModelEvaluations(
+      ListModelEvaluationsRequest request,
+      StreamObserver<ListModelEvaluationsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListModelEvaluationsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListModelEvaluationsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getModelEvaluationSlice(
+      GetModelEvaluationSliceRequest request,
+      StreamObserver<ModelEvaluationSlice> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ModelEvaluationSlice) {
+      requests.add(request);
+      responseObserver.onNext(((ModelEvaluationSlice) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listModelEvaluationSlices(
+      ListModelEvaluationSlicesRequest request,
+      StreamObserver<ListModelEvaluationSlicesResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListModelEvaluationSlicesResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListModelEvaluationSlicesResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPipelineService.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPipelineService.java
new file mode 100644
index 000000000..a6dd82467
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPipelineService.java
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.ServerServiceDefinition;
+import java.util.List;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockPipelineService implements MockGrpcService {
+  private final MockPipelineServiceImpl serviceImpl;
+
+  public MockPipelineService() {
+    serviceImpl = new MockPipelineServiceImpl();
+  }
+
+  @Override
+  public List<AbstractMessage> getRequests() {
+    return serviceImpl.getRequests();
+  }
+
+  @Override
+  public void addResponse(AbstractMessage response) {
+    serviceImpl.addResponse(response);
+  }
+
+  @Override
+  public void addException(Exception exception) {
+    serviceImpl.addException(exception);
+  }
+
+  @Override
+  public ServerServiceDefinition getServiceDefinition() {
+    return serviceImpl.bindService();
+  }
+
+  @Override
+  public void reset() {
+    serviceImpl.reset();
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPipelineServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPipelineServiceImpl.java
new file mode 100644
index 000000000..ab1f6eef3
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPipelineServiceImpl.java
@@ -0,0 +1,138 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.cloud.aiplatform.v1.PipelineServiceGrpc.PipelineServiceImplBase;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Empty;
+import io.grpc.stub.StreamObserver;
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockPipelineServiceImpl extends PipelineServiceImplBase {
+  private List<AbstractMessage> requests;
+  private Queue<Object> responses;
+
+  public MockPipelineServiceImpl() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  public List<AbstractMessage> getRequests() {
+    return requests;
+  }
+
+  public void addResponse(AbstractMessage response) {
+    responses.add(response);
+  }
+
+  public void setResponses(List<AbstractMessage> responses) {
+    this.responses = new LinkedList<Object>(responses);
+  }
+
+  public void addException(Exception exception) {
+    responses.add(exception);
+  }
+
+  public void reset() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  @Override
+  public void createTrainingPipeline(
+      CreateTrainingPipelineRequest request, StreamObserver<TrainingPipeline> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof TrainingPipeline) {
+      requests.add(request);
+      responseObserver.onNext(((TrainingPipeline) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getTrainingPipeline(
+      GetTrainingPipelineRequest request, StreamObserver<TrainingPipeline> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof TrainingPipeline) {
+      requests.add(request);
+      responseObserver.onNext(((TrainingPipeline) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listTrainingPipelines(
+      ListTrainingPipelinesRequest request,
+      StreamObserver<ListTrainingPipelinesResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListTrainingPipelinesResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListTrainingPipelinesResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteTrainingPipeline(
+      DeleteTrainingPipelineRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void cancelTrainingPipeline(
+      CancelTrainingPipelineRequest request, StreamObserver<Empty> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Empty) {
+      requests.add(request);
+      responseObserver.onNext(((Empty) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPredictionService.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPredictionService.java
new file mode 100644
index 000000000..1aa873524
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPredictionService.java
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.ServerServiceDefinition;
+import java.util.List;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockPredictionService implements MockGrpcService {
+  private final MockPredictionServiceImpl serviceImpl;
+
+  public MockPredictionService() {
+    serviceImpl = new MockPredictionServiceImpl();
+  }
+
+  @Override
+  public List<AbstractMessage> getRequests() {
+    return serviceImpl.getRequests();
+  }
+
+  @Override
+  public void addResponse(AbstractMessage response) {
+    serviceImpl.addResponse(response);
+  }
+
+  @Override
+  public void addException(Exception exception) {
+    serviceImpl.addException(exception);
+  }
+
+  @Override
+  public ServerServiceDefinition getServiceDefinition() {
+    return serviceImpl.bindService();
+  }
+
+  @Override
+  public void reset() {
+    serviceImpl.reset();
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPredictionServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPredictionServiceImpl.java
new file mode 100644
index 000000000..d12a7188b
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockPredictionServiceImpl.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.cloud.aiplatform.v1.PredictionServiceGrpc.PredictionServiceImplBase;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.stub.StreamObserver;
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockPredictionServiceImpl extends PredictionServiceImplBase {
+  private List<AbstractMessage> requests;
+  private Queue<Object> responses;
+
+  public MockPredictionServiceImpl() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  public List<AbstractMessage> getRequests() {
+    return requests;
+  }
+
+  public void addResponse(AbstractMessage response) {
+    responses.add(response);
+  }
+
+  public void setResponses(List<AbstractMessage> responses) {
+    this.responses = new LinkedList<Object>(responses);
+  }
+
+  public void addException(Exception exception) {
+    responses.add(exception);
+  }
+
+  public void reset() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  @Override
+  public void predict(PredictRequest request, StreamObserver<PredictResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof PredictResponse) {
+      requests.add(request);
+      responseObserver.onNext(((PredictResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockSpecialistPoolService.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockSpecialistPoolService.java
new file mode 100644
index 000000000..444b523e2
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockSpecialistPoolService.java
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.ServerServiceDefinition;
+import java.util.List;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockSpecialistPoolService implements MockGrpcService {
+  private final MockSpecialistPoolServiceImpl serviceImpl;
+
+  public MockSpecialistPoolService() {
+    serviceImpl = new MockSpecialistPoolServiceImpl();
+  }
+
+  @Override
+  public List<AbstractMessage> getRequests() {
+    return serviceImpl.getRequests();
+  }
+
+  @Override
+  public void addResponse(AbstractMessage response) {
+    serviceImpl.addResponse(response);
+  }
+
+  @Override
+  public void addException(Exception exception) {
+    serviceImpl.addException(exception);
+  }
+
+  @Override
+  public ServerServiceDefinition getServiceDefinition() {
+    return serviceImpl.bindService();
+  }
+
+  @Override
+  public void reset() {
+    serviceImpl.reset();
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockSpecialistPoolServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockSpecialistPoolServiceImpl.java
new file mode 100644
index 000000000..44e33f3f7
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/MockSpecialistPoolServiceImpl.java
@@ -0,0 +1,137 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.core.BetaApi;
+import com.google.cloud.aiplatform.v1.SpecialistPoolServiceGrpc.SpecialistPoolServiceImplBase;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import io.grpc.stub.StreamObserver;
+import java.util.ArrayList;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+import javax.annotation.Generated;
+
+@BetaApi
+@Generated("by gapic-generator-java")
+public class MockSpecialistPoolServiceImpl extends SpecialistPoolServiceImplBase {
+  private List<AbstractMessage> requests;
+  private Queue<Object> responses;
+
+  public MockSpecialistPoolServiceImpl() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  public List<AbstractMessage> getRequests() {
+    return requests;
+  }
+
+  public void addResponse(AbstractMessage response) {
+    responses.add(response);
+  }
+
+  public void setResponses(List<AbstractMessage> responses) {
+    this.responses = new LinkedList<Object>(responses);
+  }
+
+  public void addException(Exception exception) {
+    responses.add(exception);
+  }
+
+  public void reset() {
+    requests = new ArrayList<>();
+    responses = new LinkedList<>();
+  }
+
+  @Override
+  public void createSpecialistPool(
+      CreateSpecialistPoolRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void getSpecialistPool(
+      GetSpecialistPoolRequest request, StreamObserver<SpecialistPool> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof SpecialistPool) {
+      requests.add(request);
+      responseObserver.onNext(((SpecialistPool) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void listSpecialistPools(
+      ListSpecialistPoolsRequest request,
+      StreamObserver<ListSpecialistPoolsResponse> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof ListSpecialistPoolsResponse) {
+      requests.add(request);
+      responseObserver.onNext(((ListSpecialistPoolsResponse) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void deleteSpecialistPool(
+      DeleteSpecialistPoolRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+
+  @Override
+  public void updateSpecialistPool(
+      UpdateSpecialistPoolRequest request, StreamObserver<Operation> responseObserver) {
+    Object response = responses.remove();
+    if (response instanceof Operation) {
+      requests.add(request);
+      responseObserver.onNext(((Operation) response));
+      responseObserver.onCompleted();
+    } else if (response instanceof Exception) {
+      responseObserver.onError(((Exception) response));
+    } else {
+      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/ModelServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/ModelServiceClientTest.java
new file mode 100644
index 000000000..8a2f4e13d
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/ModelServiceClientTest.java
@@ -0,0 +1,1005 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationSlicesPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationsPagedResponse;
+import static com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPagedResponse;
+
+import com.google.api.gax.core.NoCredentialsProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.testing.LocalChannelProvider;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.api.gax.grpc.testing.MockServiceHelper;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.InvalidArgumentException;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Any;
+import com.google.protobuf.Empty;
+import com.google.protobuf.FieldMask;
+import com.google.protobuf.Timestamp;
+import com.google.protobuf.Value;
+import io.grpc.StatusRuntimeException;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+import javax.annotation.Generated;
+import org.junit.After;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+@Generated("by gapic-generator-java")
+public class ModelServiceClientTest {
+  private static MockServiceHelper mockServiceHelper;
+  private ModelServiceClient client;
+  private static MockModelService mockModelService;
+  private LocalChannelProvider channelProvider;
+
+  @BeforeClass
+  public static void startStaticServer() {
+    mockModelService = new MockModelService();
+    mockServiceHelper =
+        new MockServiceHelper(
+            UUID.randomUUID().toString(), Arrays.<MockGrpcService>asList(mockModelService));
+    mockServiceHelper.start();
+  }
+
+  @AfterClass
+  public static void stopServer() {
+    mockServiceHelper.stop();
+  }
+
+  @Before
+  public void setUp() throws IOException {
+    mockServiceHelper.reset();
+    channelProvider = mockServiceHelper.createChannelProvider();
+    ModelServiceSettings settings =
+        ModelServiceSettings.newBuilder()
+            .setTransportChannelProvider(channelProvider)
+            .setCredentialsProvider(NoCredentialsProvider.create())
+            .build();
+    client = ModelServiceClient.create(settings);
+  }
+
+  @After
+  public void tearDown() throws Exception {
+    client.close();
+  }
+
+  @Test
+  public void uploadModelTest() throws Exception {
+    UploadModelResponse expectedResponse =
+        UploadModelResponse.newBuilder()
+            .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("uploadModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockModelService.addResponse(resultOperation);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    Model model = Model.newBuilder().build();
+
+    UploadModelResponse actualResponse = client.uploadModelAsync(parent, model).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    UploadModelRequest actualRequest = ((UploadModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(model, actualRequest.getModel());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void uploadModelExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      Model model = Model.newBuilder().build();
+      client.uploadModelAsync(parent, model).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void uploadModelTest2() throws Exception {
+    UploadModelResponse expectedResponse =
+        UploadModelResponse.newBuilder()
+            .setModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("uploadModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockModelService.addResponse(resultOperation);
+
+    String parent = "parent-995424086";
+    Model model = Model.newBuilder().build();
+
+    UploadModelResponse actualResponse = client.uploadModelAsync(parent, model).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    UploadModelRequest actualRequest = ((UploadModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(model, actualRequest.getModel());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void uploadModelExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      Model model = Model.newBuilder().build();
+      client.uploadModelAsync(parent, model).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void getModelTest() throws Exception {
+    Model expectedResponse =
+        Model.newBuilder()
+            .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setDisplayName("displayName1714148973")
+            .setDescription("description-1724546052")
+            .setPredictSchemata(PredictSchemata.newBuilder().build())
+            .setMetadataSchemaUri("metadataSchemaUri781971868")
+            .setMetadata(Value.newBuilder().build())
+            .addAllSupportedExportFormats(new ArrayList<Model.ExportFormat>())
+            .setTrainingPipeline(
+                TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+                    .toString())
+            .setContainerSpec(ModelContainerSpec.newBuilder().build())
+            .setArtifactUri("artifactUri-1130062278")
+            .addAllSupportedDeploymentResourcesTypes(new ArrayList<Model.DeploymentResourcesType>())
+            .addAllSupportedInputStorageFormats(new ArrayList<String>())
+            .addAllSupportedOutputStorageFormats(new ArrayList<String>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .addAllDeployedModels(new ArrayList<DeployedModelRef>())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+
+    Model actualResponse = client.getModel(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetModelRequest actualRequest = ((GetModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getModelExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+      client.getModel(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getModelTest2() throws Exception {
+    Model expectedResponse =
+        Model.newBuilder()
+            .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setDisplayName("displayName1714148973")
+            .setDescription("description-1724546052")
+            .setPredictSchemata(PredictSchemata.newBuilder().build())
+            .setMetadataSchemaUri("metadataSchemaUri781971868")
+            .setMetadata(Value.newBuilder().build())
+            .addAllSupportedExportFormats(new ArrayList<Model.ExportFormat>())
+            .setTrainingPipeline(
+                TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+                    .toString())
+            .setContainerSpec(ModelContainerSpec.newBuilder().build())
+            .setArtifactUri("artifactUri-1130062278")
+            .addAllSupportedDeploymentResourcesTypes(new ArrayList<Model.DeploymentResourcesType>())
+            .addAllSupportedInputStorageFormats(new ArrayList<String>())
+            .addAllSupportedOutputStorageFormats(new ArrayList<String>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .addAllDeployedModels(new ArrayList<DeployedModelRef>())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    Model actualResponse = client.getModel(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetModelRequest actualRequest = ((GetModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getModelExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getModel(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listModelsTest() throws Exception {
+    Model responsesElement = Model.newBuilder().build();
+    ListModelsResponse expectedResponse =
+        ListModelsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllModels(Arrays.asList(responsesElement))
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListModelsPagedResponse pagedListResponse = client.listModels(parent);
+
+    List<Model> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getModelsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListModelsRequest actualRequest = ((ListModelsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listModelsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listModels(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listModelsTest2() throws Exception {
+    Model responsesElement = Model.newBuilder().build();
+    ListModelsResponse expectedResponse =
+        ListModelsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllModels(Arrays.asList(responsesElement))
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListModelsPagedResponse pagedListResponse = client.listModels(parent);
+
+    List<Model> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getModelsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListModelsRequest actualRequest = ((ListModelsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listModelsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listModels(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void updateModelTest() throws Exception {
+    Model expectedResponse =
+        Model.newBuilder()
+            .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+            .setDisplayName("displayName1714148973")
+            .setDescription("description-1724546052")
+            .setPredictSchemata(PredictSchemata.newBuilder().build())
+            .setMetadataSchemaUri("metadataSchemaUri781971868")
+            .setMetadata(Value.newBuilder().build())
+            .addAllSupportedExportFormats(new ArrayList<Model.ExportFormat>())
+            .setTrainingPipeline(
+                TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+                    .toString())
+            .setContainerSpec(ModelContainerSpec.newBuilder().build())
+            .setArtifactUri("artifactUri-1130062278")
+            .addAllSupportedDeploymentResourcesTypes(new ArrayList<Model.DeploymentResourcesType>())
+            .addAllSupportedInputStorageFormats(new ArrayList<String>())
+            .addAllSupportedOutputStorageFormats(new ArrayList<String>())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .addAllDeployedModels(new ArrayList<DeployedModelRef>())
+            .setEtag("etag3123477")
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    Model model = Model.newBuilder().build();
+    FieldMask updateMask = FieldMask.newBuilder().build();
+
+    Model actualResponse = client.updateModel(model, updateMask);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    UpdateModelRequest actualRequest = ((UpdateModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(model, actualRequest.getModel());
+    Assert.assertEquals(updateMask, actualRequest.getUpdateMask());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void updateModelExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      Model model = Model.newBuilder().build();
+      FieldMask updateMask = FieldMask.newBuilder().build();
+      client.updateModel(model, updateMask);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteModelTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockModelService.addResponse(resultOperation);
+
+    ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+
+    client.deleteModelAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteModelRequest actualRequest = ((DeleteModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteModelExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+      client.deleteModelAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteModelTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockModelService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteModelAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteModelRequest actualRequest = ((DeleteModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteModelExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteModelAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void exportModelTest() throws Exception {
+    ExportModelResponse expectedResponse = ExportModelResponse.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("exportModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockModelService.addResponse(resultOperation);
+
+    ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+    ExportModelRequest.OutputConfig outputConfig =
+        ExportModelRequest.OutputConfig.newBuilder().build();
+
+    ExportModelResponse actualResponse = client.exportModelAsync(name, outputConfig).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ExportModelRequest actualRequest = ((ExportModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertEquals(outputConfig, actualRequest.getOutputConfig());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void exportModelExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+      ExportModelRequest.OutputConfig outputConfig =
+          ExportModelRequest.OutputConfig.newBuilder().build();
+      client.exportModelAsync(name, outputConfig).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void exportModelTest2() throws Exception {
+    ExportModelResponse expectedResponse = ExportModelResponse.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("exportModelTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockModelService.addResponse(resultOperation);
+
+    String name = "name3373707";
+    ExportModelRequest.OutputConfig outputConfig =
+        ExportModelRequest.OutputConfig.newBuilder().build();
+
+    ExportModelResponse actualResponse = client.exportModelAsync(name, outputConfig).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ExportModelRequest actualRequest = ((ExportModelRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertEquals(outputConfig, actualRequest.getOutputConfig());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void exportModelExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      ExportModelRequest.OutputConfig outputConfig =
+          ExportModelRequest.OutputConfig.newBuilder().build();
+      client.exportModelAsync(name, outputConfig).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void getModelEvaluationTest() throws Exception {
+    ModelEvaluation expectedResponse =
+        ModelEvaluation.newBuilder()
+            .setName(
+                ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
+                    .toString())
+            .setMetricsSchemaUri("metricsSchemaUri-182209912")
+            .setMetrics(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .addAllSliceDimensions(new ArrayList<String>())
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    ModelEvaluationName name =
+        ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]");
+
+    ModelEvaluation actualResponse = client.getModelEvaluation(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetModelEvaluationRequest actualRequest = ((GetModelEvaluationRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getModelEvaluationExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      ModelEvaluationName name =
+          ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]");
+      client.getModelEvaluation(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getModelEvaluationTest2() throws Exception {
+    ModelEvaluation expectedResponse =
+        ModelEvaluation.newBuilder()
+            .setName(
+                ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
+                    .toString())
+            .setMetricsSchemaUri("metricsSchemaUri-182209912")
+            .setMetrics(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .addAllSliceDimensions(new ArrayList<String>())
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    ModelEvaluation actualResponse = client.getModelEvaluation(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetModelEvaluationRequest actualRequest = ((GetModelEvaluationRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getModelEvaluationExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getModelEvaluation(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listModelEvaluationsTest() throws Exception {
+    ModelEvaluation responsesElement = ModelEvaluation.newBuilder().build();
+    ListModelEvaluationsResponse expectedResponse =
+        ListModelEvaluationsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllModelEvaluations(Arrays.asList(responsesElement))
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+
+    ListModelEvaluationsPagedResponse pagedListResponse = client.listModelEvaluations(parent);
+
+    List<ModelEvaluation> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getModelEvaluationsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListModelEvaluationsRequest actualRequest =
+        ((ListModelEvaluationsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listModelEvaluationsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+      client.listModelEvaluations(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listModelEvaluationsTest2() throws Exception {
+    ModelEvaluation responsesElement = ModelEvaluation.newBuilder().build();
+    ListModelEvaluationsResponse expectedResponse =
+        ListModelEvaluationsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllModelEvaluations(Arrays.asList(responsesElement))
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListModelEvaluationsPagedResponse pagedListResponse = client.listModelEvaluations(parent);
+
+    List<ModelEvaluation> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getModelEvaluationsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListModelEvaluationsRequest actualRequest =
+        ((ListModelEvaluationsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listModelEvaluationsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listModelEvaluations(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getModelEvaluationSliceTest() throws Exception {
+    ModelEvaluationSlice expectedResponse =
+        ModelEvaluationSlice.newBuilder()
+            .setName(
+                ModelEvaluationSliceName.of(
+                        "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
+                    .toString())
+            .setSlice(ModelEvaluationSlice.Slice.newBuilder().build())
+            .setMetricsSchemaUri("metricsSchemaUri-182209912")
+            .setMetrics(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    ModelEvaluationSliceName name =
+        ModelEvaluationSliceName.of(
+            "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]");
+
+    ModelEvaluationSlice actualResponse = client.getModelEvaluationSlice(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetModelEvaluationSliceRequest actualRequest =
+        ((GetModelEvaluationSliceRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getModelEvaluationSliceExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      ModelEvaluationSliceName name =
+          ModelEvaluationSliceName.of(
+              "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]");
+      client.getModelEvaluationSlice(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getModelEvaluationSliceTest2() throws Exception {
+    ModelEvaluationSlice expectedResponse =
+        ModelEvaluationSlice.newBuilder()
+            .setName(
+                ModelEvaluationSliceName.of(
+                        "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
+                    .toString())
+            .setSlice(ModelEvaluationSlice.Slice.newBuilder().build())
+            .setMetricsSchemaUri("metricsSchemaUri-182209912")
+            .setMetrics(Value.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    ModelEvaluationSlice actualResponse = client.getModelEvaluationSlice(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetModelEvaluationSliceRequest actualRequest =
+        ((GetModelEvaluationSliceRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getModelEvaluationSliceExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getModelEvaluationSlice(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listModelEvaluationSlicesTest() throws Exception {
+    ModelEvaluationSlice responsesElement = ModelEvaluationSlice.newBuilder().build();
+    ListModelEvaluationSlicesResponse expectedResponse =
+        ListModelEvaluationSlicesResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllModelEvaluationSlices(Arrays.asList(responsesElement))
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    ModelEvaluationName parent =
+        ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]");
+
+    ListModelEvaluationSlicesPagedResponse pagedListResponse =
+        client.listModelEvaluationSlices(parent);
+
+    List<ModelEvaluationSlice> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getModelEvaluationSlicesList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListModelEvaluationSlicesRequest actualRequest =
+        ((ListModelEvaluationSlicesRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listModelEvaluationSlicesExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      ModelEvaluationName parent =
+          ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]");
+      client.listModelEvaluationSlices(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listModelEvaluationSlicesTest2() throws Exception {
+    ModelEvaluationSlice responsesElement = ModelEvaluationSlice.newBuilder().build();
+    ListModelEvaluationSlicesResponse expectedResponse =
+        ListModelEvaluationSlicesResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllModelEvaluationSlices(Arrays.asList(responsesElement))
+            .build();
+    mockModelService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListModelEvaluationSlicesPagedResponse pagedListResponse =
+        client.listModelEvaluationSlices(parent);
+
+    List<ModelEvaluationSlice> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getModelEvaluationSlicesList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockModelService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListModelEvaluationSlicesRequest actualRequest =
+        ((ListModelEvaluationSlicesRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listModelEvaluationSlicesExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockModelService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listModelEvaluationSlices(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/PipelineServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/PipelineServiceClientTest.java
new file mode 100644
index 000000000..63f06af3a
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/PipelineServiceClientTest.java
@@ -0,0 +1,561 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
+
+import com.google.api.gax.core.NoCredentialsProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.testing.LocalChannelProvider;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.api.gax.grpc.testing.MockServiceHelper;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.InvalidArgumentException;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Any;
+import com.google.protobuf.Empty;
+import com.google.protobuf.Timestamp;
+import com.google.protobuf.Value;
+import com.google.rpc.Status;
+import io.grpc.StatusRuntimeException;
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+import javax.annotation.Generated;
+import org.junit.After;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+@Generated("by gapic-generator-java")
+public class PipelineServiceClientTest {
+  private static MockServiceHelper mockServiceHelper;
+  private static MockPipelineService mockPipelineService;
+  private PipelineServiceClient client;
+  private LocalChannelProvider channelProvider;
+
+  @BeforeClass
+  public static void startStaticServer() {
+    mockPipelineService = new MockPipelineService();
+    mockServiceHelper =
+        new MockServiceHelper(
+            UUID.randomUUID().toString(), Arrays.<MockGrpcService>asList(mockPipelineService));
+    mockServiceHelper.start();
+  }
+
+  @AfterClass
+  public static void stopServer() {
+    mockServiceHelper.stop();
+  }
+
+  @Before
+  public void setUp() throws IOException {
+    mockServiceHelper.reset();
+    channelProvider = mockServiceHelper.createChannelProvider();
+    PipelineServiceSettings settings =
+        PipelineServiceSettings.newBuilder()
+            .setTransportChannelProvider(channelProvider)
+            .setCredentialsProvider(NoCredentialsProvider.create())
+            .build();
+    client = PipelineServiceClient.create(settings);
+  }
+
+  @After
+  public void tearDown() throws Exception {
+    client.close();
+  }
+
+  @Test
+  public void createTrainingPipelineTest() throws Exception {
+    TrainingPipeline expectedResponse =
+        TrainingPipeline.newBuilder()
+            .setName(
+                TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setInputDataConfig(InputDataConfig.newBuilder().build())
+            .setTrainingTaskDefinition("trainingTaskDefinition-1218104270")
+            .setTrainingTaskInputs(Value.newBuilder().build())
+            .setTrainingTaskMetadata(Value.newBuilder().build())
+            .setModelToUpload(Model.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockPipelineService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
+
+    TrainingPipeline actualResponse = client.createTrainingPipeline(parent, trainingPipeline);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateTrainingPipelineRequest actualRequest =
+        ((CreateTrainingPipelineRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(trainingPipeline, actualRequest.getTrainingPipeline());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createTrainingPipelineExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
+      client.createTrainingPipeline(parent, trainingPipeline);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void createTrainingPipelineTest2() throws Exception {
+    TrainingPipeline expectedResponse =
+        TrainingPipeline.newBuilder()
+            .setName(
+                TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setInputDataConfig(InputDataConfig.newBuilder().build())
+            .setTrainingTaskDefinition("trainingTaskDefinition-1218104270")
+            .setTrainingTaskInputs(Value.newBuilder().build())
+            .setTrainingTaskMetadata(Value.newBuilder().build())
+            .setModelToUpload(Model.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockPipelineService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+    TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
+
+    TrainingPipeline actualResponse = client.createTrainingPipeline(parent, trainingPipeline);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateTrainingPipelineRequest actualRequest =
+        ((CreateTrainingPipelineRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(trainingPipeline, actualRequest.getTrainingPipeline());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createTrainingPipelineExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
+      client.createTrainingPipeline(parent, trainingPipeline);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getTrainingPipelineTest() throws Exception {
+    TrainingPipeline expectedResponse =
+        TrainingPipeline.newBuilder()
+            .setName(
+                TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setInputDataConfig(InputDataConfig.newBuilder().build())
+            .setTrainingTaskDefinition("trainingTaskDefinition-1218104270")
+            .setTrainingTaskInputs(Value.newBuilder().build())
+            .setTrainingTaskMetadata(Value.newBuilder().build())
+            .setModelToUpload(Model.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockPipelineService.addResponse(expectedResponse);
+
+    TrainingPipelineName name =
+        TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+
+    TrainingPipeline actualResponse = client.getTrainingPipeline(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetTrainingPipelineRequest actualRequest = ((GetTrainingPipelineRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getTrainingPipelineExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      TrainingPipelineName name =
+          TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+      client.getTrainingPipeline(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getTrainingPipelineTest2() throws Exception {
+    TrainingPipeline expectedResponse =
+        TrainingPipeline.newBuilder()
+            .setName(
+                TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+                    .toString())
+            .setDisplayName("displayName1714148973")
+            .setInputDataConfig(InputDataConfig.newBuilder().build())
+            .setTrainingTaskDefinition("trainingTaskDefinition-1218104270")
+            .setTrainingTaskInputs(Value.newBuilder().build())
+            .setTrainingTaskMetadata(Value.newBuilder().build())
+            .setModelToUpload(Model.newBuilder().build())
+            .setError(Status.newBuilder().build())
+            .setCreateTime(Timestamp.newBuilder().build())
+            .setStartTime(Timestamp.newBuilder().build())
+            .setEndTime(Timestamp.newBuilder().build())
+            .setUpdateTime(Timestamp.newBuilder().build())
+            .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
+            .build();
+    mockPipelineService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    TrainingPipeline actualResponse = client.getTrainingPipeline(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetTrainingPipelineRequest actualRequest = ((GetTrainingPipelineRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getTrainingPipelineExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getTrainingPipeline(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listTrainingPipelinesTest() throws Exception {
+    TrainingPipeline responsesElement = TrainingPipeline.newBuilder().build();
+    ListTrainingPipelinesResponse expectedResponse =
+        ListTrainingPipelinesResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllTrainingPipelines(Arrays.asList(responsesElement))
+            .build();
+    mockPipelineService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListTrainingPipelinesPagedResponse pagedListResponse = client.listTrainingPipelines(parent);
+
+    List<TrainingPipeline> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getTrainingPipelinesList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListTrainingPipelinesRequest actualRequest =
+        ((ListTrainingPipelinesRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listTrainingPipelinesExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listTrainingPipelines(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listTrainingPipelinesTest2() throws Exception {
+    TrainingPipeline responsesElement = TrainingPipeline.newBuilder().build();
+    ListTrainingPipelinesResponse expectedResponse =
+        ListTrainingPipelinesResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllTrainingPipelines(Arrays.asList(responsesElement))
+            .build();
+    mockPipelineService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListTrainingPipelinesPagedResponse pagedListResponse = client.listTrainingPipelines(parent);
+
+    List<TrainingPipeline> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getTrainingPipelinesList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListTrainingPipelinesRequest actualRequest =
+        ((ListTrainingPipelinesRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listTrainingPipelinesExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listTrainingPipelines(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteTrainingPipelineTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteTrainingPipelineTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockPipelineService.addResponse(resultOperation);
+
+    TrainingPipelineName name =
+        TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+
+    client.deleteTrainingPipelineAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteTrainingPipelineRequest actualRequest =
+        ((DeleteTrainingPipelineRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteTrainingPipelineExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      TrainingPipelineName name =
+          TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+      client.deleteTrainingPipelineAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteTrainingPipelineTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteTrainingPipelineTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockPipelineService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteTrainingPipelineAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteTrainingPipelineRequest actualRequest =
+        ((DeleteTrainingPipelineRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteTrainingPipelineExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteTrainingPipelineAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void cancelTrainingPipelineTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockPipelineService.addResponse(expectedResponse);
+
+    TrainingPipelineName name =
+        TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+
+    client.cancelTrainingPipeline(name);
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelTrainingPipelineRequest actualRequest =
+        ((CancelTrainingPipelineRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelTrainingPipelineExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      TrainingPipelineName name =
+          TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+      client.cancelTrainingPipeline(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void cancelTrainingPipelineTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    mockPipelineService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    client.cancelTrainingPipeline(name);
+
+    List<AbstractMessage> actualRequests = mockPipelineService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CancelTrainingPipelineRequest actualRequest =
+        ((CancelTrainingPipelineRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void cancelTrainingPipelineExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPipelineService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.cancelTrainingPipeline(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/PredictionServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/PredictionServiceClientTest.java
new file mode 100644
index 000000000..b56c46acc
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/PredictionServiceClientTest.java
@@ -0,0 +1,169 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.gax.core.NoCredentialsProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.testing.LocalChannelProvider;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.api.gax.grpc.testing.MockServiceHelper;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.InvalidArgumentException;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Value;
+import io.grpc.StatusRuntimeException;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.UUID;
+import javax.annotation.Generated;
+import org.junit.After;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+@Generated("by gapic-generator-java")
+public class PredictionServiceClientTest {
+  private static MockServiceHelper mockServiceHelper;
+  private PredictionServiceClient client;
+  private static MockPredictionService mockPredictionService;
+  private LocalChannelProvider channelProvider;
+
+  @BeforeClass
+  public static void startStaticServer() {
+    mockPredictionService = new MockPredictionService();
+    mockServiceHelper =
+        new MockServiceHelper(
+            UUID.randomUUID().toString(), Arrays.<MockGrpcService>asList(mockPredictionService));
+    mockServiceHelper.start();
+  }
+
+  @AfterClass
+  public static void stopServer() {
+    mockServiceHelper.stop();
+  }
+
+  @Before
+  public void setUp() throws IOException {
+    mockServiceHelper.reset();
+    channelProvider = mockServiceHelper.createChannelProvider();
+    PredictionServiceSettings settings =
+        PredictionServiceSettings.newBuilder()
+            .setTransportChannelProvider(channelProvider)
+            .setCredentialsProvider(NoCredentialsProvider.create())
+            .build();
+    client = PredictionServiceClient.create(settings);
+  }
+
+  @After
+  public void tearDown() throws Exception {
+    client.close();
+  }
+
+  @Test
+  public void predictTest() throws Exception {
+    PredictResponse expectedResponse =
+        PredictResponse.newBuilder()
+            .addAllPredictions(new ArrayList<Value>())
+            .setDeployedModelId("deployedModelId-1817547906")
+            .build();
+    mockPredictionService.addResponse(expectedResponse);
+
+    EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+    List<Value> instances = new ArrayList<>();
+    Value parameters = Value.newBuilder().build();
+
+    PredictResponse actualResponse = client.predict(endpoint, instances, parameters);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockPredictionService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    PredictRequest actualRequest = ((PredictRequest) actualRequests.get(0));
+
+    Assert.assertEquals(endpoint.toString(), actualRequest.getEndpoint());
+    Assert.assertEquals(instances, actualRequest.getInstancesList());
+    Assert.assertEquals(parameters, actualRequest.getParameters());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void predictExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPredictionService.addException(exception);
+
+    try {
+      EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+      List<Value> instances = new ArrayList<>();
+      Value parameters = Value.newBuilder().build();
+      client.predict(endpoint, instances, parameters);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void predictTest2() throws Exception {
+    PredictResponse expectedResponse =
+        PredictResponse.newBuilder()
+            .addAllPredictions(new ArrayList<Value>())
+            .setDeployedModelId("deployedModelId-1817547906")
+            .build();
+    mockPredictionService.addResponse(expectedResponse);
+
+    String endpoint = "endpoint1741102485";
+    List<Value> instances = new ArrayList<>();
+    Value parameters = Value.newBuilder().build();
+
+    PredictResponse actualResponse = client.predict(endpoint, instances, parameters);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockPredictionService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    PredictRequest actualRequest = ((PredictRequest) actualRequests.get(0));
+
+    Assert.assertEquals(endpoint, actualRequest.getEndpoint());
+    Assert.assertEquals(instances, actualRequest.getInstancesList());
+    Assert.assertEquals(parameters, actualRequest.getParameters());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void predictExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockPredictionService.addException(exception);
+
+    try {
+      String endpoint = "endpoint1741102485";
+      List<Value> instances = new ArrayList<>();
+      Value parameters = Value.newBuilder().build();
+      client.predict(endpoint, instances, parameters);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+}
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceClientTest.java
new file mode 100644
index 000000000..cc0873466
--- /dev/null
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceClientTest.java
@@ -0,0 +1,516 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import static com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
+
+import com.google.api.gax.core.NoCredentialsProvider;
+import com.google.api.gax.grpc.GaxGrpcProperties;
+import com.google.api.gax.grpc.testing.LocalChannelProvider;
+import com.google.api.gax.grpc.testing.MockGrpcService;
+import com.google.api.gax.grpc.testing.MockServiceHelper;
+import com.google.api.gax.rpc.ApiClientHeaderProvider;
+import com.google.api.gax.rpc.InvalidArgumentException;
+import com.google.api.gax.rpc.StatusCode;
+import com.google.common.collect.Lists;
+import com.google.longrunning.Operation;
+import com.google.protobuf.AbstractMessage;
+import com.google.protobuf.Any;
+import com.google.protobuf.Empty;
+import com.google.protobuf.FieldMask;
+import io.grpc.StatusRuntimeException;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+import javax.annotation.Generated;
+import org.junit.After;
+import org.junit.AfterClass;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+@Generated("by gapic-generator-java")
+public class SpecialistPoolServiceClientTest {
+  private static MockServiceHelper mockServiceHelper;
+  private SpecialistPoolServiceClient client;
+  private static MockSpecialistPoolService mockSpecialistPoolService;
+  private LocalChannelProvider channelProvider;
+
+  @BeforeClass
+  public static void startStaticServer() {
+    mockSpecialistPoolService = new MockSpecialistPoolService();
+    mockServiceHelper =
+        new MockServiceHelper(
+            UUID.randomUUID().toString(),
+            Arrays.<MockGrpcService>asList(mockSpecialistPoolService));
+    mockServiceHelper.start();
+  }
+
+  @AfterClass
+  public static void stopServer() {
+    mockServiceHelper.stop();
+  }
+
+  @Before
+  public void setUp() throws IOException {
+    mockServiceHelper.reset();
+    channelProvider = mockServiceHelper.createChannelProvider();
+    SpecialistPoolServiceSettings settings =
+        SpecialistPoolServiceSettings.newBuilder()
+            .setTransportChannelProvider(channelProvider)
+            .setCredentialsProvider(NoCredentialsProvider.create())
+            .build();
+    client = SpecialistPoolServiceClient.create(settings);
+  }
+
+  @After
+  public void tearDown() throws Exception {
+    client.close();
+  }
+
+  @Test
+  public void createSpecialistPoolTest() throws Exception {
+    SpecialistPool expectedResponse =
+        SpecialistPool.newBuilder()
+            .setName(
+                SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+            .setDisplayName("displayName1714148973")
+            .setSpecialistManagersCount(-984151356)
+            .addAllSpecialistManagerEmails(new ArrayList<String>())
+            .addAllPendingDataLabelingJobs(new ArrayList<String>())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("createSpecialistPoolTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockSpecialistPoolService.addResponse(resultOperation);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+    SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+
+    SpecialistPool actualResponse = client.createSpecialistPoolAsync(parent, specialistPool).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateSpecialistPoolRequest actualRequest =
+        ((CreateSpecialistPoolRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertEquals(specialistPool, actualRequest.getSpecialistPool());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createSpecialistPoolExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+      client.createSpecialistPoolAsync(parent, specialistPool).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void createSpecialistPoolTest2() throws Exception {
+    SpecialistPool expectedResponse =
+        SpecialistPool.newBuilder()
+            .setName(
+                SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+            .setDisplayName("displayName1714148973")
+            .setSpecialistManagersCount(-984151356)
+            .addAllSpecialistManagerEmails(new ArrayList<String>())
+            .addAllPendingDataLabelingJobs(new ArrayList<String>())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("createSpecialistPoolTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockSpecialistPoolService.addResponse(resultOperation);
+
+    String parent = "parent-995424086";
+    SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+
+    SpecialistPool actualResponse = client.createSpecialistPoolAsync(parent, specialistPool).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    CreateSpecialistPoolRequest actualRequest =
+        ((CreateSpecialistPoolRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertEquals(specialistPool, actualRequest.getSpecialistPool());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void createSpecialistPoolExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+      client.createSpecialistPoolAsync(parent, specialistPool).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void getSpecialistPoolTest() throws Exception {
+    SpecialistPool expectedResponse =
+        SpecialistPool.newBuilder()
+            .setName(
+                SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+            .setDisplayName("displayName1714148973")
+            .setSpecialistManagersCount(-984151356)
+            .addAllSpecialistManagerEmails(new ArrayList<String>())
+            .addAllPendingDataLabelingJobs(new ArrayList<String>())
+            .build();
+    mockSpecialistPoolService.addResponse(expectedResponse);
+
+    SpecialistPoolName name = SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
+
+    SpecialistPool actualResponse = client.getSpecialistPool(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetSpecialistPoolRequest actualRequest = ((GetSpecialistPoolRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getSpecialistPoolExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      SpecialistPoolName name =
+          SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
+      client.getSpecialistPool(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void getSpecialistPoolTest2() throws Exception {
+    SpecialistPool expectedResponse =
+        SpecialistPool.newBuilder()
+            .setName(
+                SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+            .setDisplayName("displayName1714148973")
+            .setSpecialistManagersCount(-984151356)
+            .addAllSpecialistManagerEmails(new ArrayList<String>())
+            .addAllPendingDataLabelingJobs(new ArrayList<String>())
+            .build();
+    mockSpecialistPoolService.addResponse(expectedResponse);
+
+    String name = "name3373707";
+
+    SpecialistPool actualResponse = client.getSpecialistPool(name);
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    GetSpecialistPoolRequest actualRequest = ((GetSpecialistPoolRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void getSpecialistPoolExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.getSpecialistPool(name);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listSpecialistPoolsTest() throws Exception {
+    SpecialistPool responsesElement = SpecialistPool.newBuilder().build();
+    ListSpecialistPoolsResponse expectedResponse =
+        ListSpecialistPoolsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllSpecialistPools(Arrays.asList(responsesElement))
+            .build();
+    mockSpecialistPoolService.addResponse(expectedResponse);
+
+    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+
+    ListSpecialistPoolsPagedResponse pagedListResponse = client.listSpecialistPools(parent);
+
+    List<SpecialistPool> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getSpecialistPoolsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListSpecialistPoolsRequest actualRequest = ((ListSpecialistPoolsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent.toString(), actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listSpecialistPoolsExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+      client.listSpecialistPools(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void listSpecialistPoolsTest2() throws Exception {
+    SpecialistPool responsesElement = SpecialistPool.newBuilder().build();
+    ListSpecialistPoolsResponse expectedResponse =
+        ListSpecialistPoolsResponse.newBuilder()
+            .setNextPageToken("")
+            .addAllSpecialistPools(Arrays.asList(responsesElement))
+            .build();
+    mockSpecialistPoolService.addResponse(expectedResponse);
+
+    String parent = "parent-995424086";
+
+    ListSpecialistPoolsPagedResponse pagedListResponse = client.listSpecialistPools(parent);
+
+    List<SpecialistPool> resources = Lists.newArrayList(pagedListResponse.iterateAll());
+
+    Assert.assertEquals(1, resources.size());
+    Assert.assertEquals(expectedResponse.getSpecialistPoolsList().get(0), resources.get(0));
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    ListSpecialistPoolsRequest actualRequest = ((ListSpecialistPoolsRequest) actualRequests.get(0));
+
+    Assert.assertEquals(parent, actualRequest.getParent());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void listSpecialistPoolsExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      String parent = "parent-995424086";
+      client.listSpecialistPools(parent);
+      Assert.fail("No exception raised");
+    } catch (InvalidArgumentException e) {
+      // Expected exception.
+    }
+  }
+
+  @Test
+  public void deleteSpecialistPoolTest() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteSpecialistPoolTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockSpecialistPoolService.addResponse(resultOperation);
+
+    SpecialistPoolName name = SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
+
+    client.deleteSpecialistPoolAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteSpecialistPoolRequest actualRequest =
+        ((DeleteSpecialistPoolRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name.toString(), actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteSpecialistPoolExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      SpecialistPoolName name =
+          SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
+      client.deleteSpecialistPoolAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void deleteSpecialistPoolTest2() throws Exception {
+    Empty expectedResponse = Empty.newBuilder().build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("deleteSpecialistPoolTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockSpecialistPoolService.addResponse(resultOperation);
+
+    String name = "name3373707";
+
+    client.deleteSpecialistPoolAsync(name).get();
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    DeleteSpecialistPoolRequest actualRequest =
+        ((DeleteSpecialistPoolRequest) actualRequests.get(0));
+
+    Assert.assertEquals(name, actualRequest.getName());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void deleteSpecialistPoolExceptionTest2() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      String name = "name3373707";
+      client.deleteSpecialistPoolAsync(name).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+
+  @Test
+  public void updateSpecialistPoolTest() throws Exception {
+    SpecialistPool expectedResponse =
+        SpecialistPool.newBuilder()
+            .setName(
+                SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+            .setDisplayName("displayName1714148973")
+            .setSpecialistManagersCount(-984151356)
+            .addAllSpecialistManagerEmails(new ArrayList<String>())
+            .addAllPendingDataLabelingJobs(new ArrayList<String>())
+            .build();
+    Operation resultOperation =
+        Operation.newBuilder()
+            .setName("updateSpecialistPoolTest")
+            .setDone(true)
+            .setResponse(Any.pack(expectedResponse))
+            .build();
+    mockSpecialistPoolService.addResponse(resultOperation);
+
+    SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+    FieldMask updateMask = FieldMask.newBuilder().build();
+
+    SpecialistPool actualResponse =
+        client.updateSpecialistPoolAsync(specialistPool, updateMask).get();
+    Assert.assertEquals(expectedResponse, actualResponse);
+
+    List<AbstractMessage> actualRequests = mockSpecialistPoolService.getRequests();
+    Assert.assertEquals(1, actualRequests.size());
+    UpdateSpecialistPoolRequest actualRequest =
+        ((UpdateSpecialistPoolRequest) actualRequests.get(0));
+
+    Assert.assertEquals(specialistPool, actualRequest.getSpecialistPool());
+    Assert.assertEquals(updateMask, actualRequest.getUpdateMask());
+    Assert.assertTrue(
+        channelProvider.isHeaderSent(
+            ApiClientHeaderProvider.getDefaultApiClientHeaderKey(),
+            GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
+  }
+
+  @Test
+  public void updateSpecialistPoolExceptionTest() throws Exception {
+    StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
+    mockSpecialistPoolService.addException(exception);
+
+    try {
+      SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+      FieldMask updateMask = FieldMask.newBuilder().build();
+      client.updateSpecialistPoolAsync(specialistPool, updateMask).get();
+      Assert.fail("No exception raised");
+    } catch (ExecutionException e) {
+      Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
+      InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
+      Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
+    }
+  }
+}
diff --git a/grpc-google-cloud-aiplatform-v1/pom.xml b/grpc-google-cloud-aiplatform-v1/pom.xml
new file mode 100644
index 000000000..c627e5385
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/pom.xml
@@ -0,0 +1,69 @@
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+  <groupId>com.google.api.grpc</groupId>
+  <artifactId>grpc-google-cloud-aiplatform-v1</artifactId>
+  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
+  <name>grpc-google-cloud-aiplatform-v1</name>
+  <description>GRPC library for google-cloud-aiplatform</description>
+  <parent>
+    <groupId>com.google.cloud</groupId>
+    <artifactId>google-cloud-aiplatform-parent</artifactId>
+    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+  </parent>
+  <dependencies>
+    <dependency>
+      <groupId>io.grpc</groupId>
+      <artifactId>grpc-api</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>io.grpc</groupId>
+      <artifactId>grpc-stub</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>io.grpc</groupId>
+      <artifactId>grpc-protobuf</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>com.google.protobuf</groupId>
+      <artifactId>protobuf-java</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>com.google.api.grpc</groupId>
+      <artifactId>proto-google-cloud-aiplatform-v1</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>com.google.guava</groupId>
+      <artifactId>guava</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>com.google.api.grpc</groupId>
+      <artifactId>proto-google-common-protos</artifactId>
+    </dependency>
+  </dependencies>
+
+  <profiles>
+    <profile>
+      <id>java9</id>
+      <activation>
+        <jdk>[9,)</jdk>
+      </activation>
+      <dependencies>
+        <dependency>
+          <groupId>javax.annotation</groupId>
+          <artifactId>javax.annotation-api</artifactId>
+        </dependency>
+      </dependencies>
+    </profile>
+  </profiles>
+
+  <build>
+    <plugins>
+      <plugin>
+        <groupId>org.codehaus.mojo</groupId>
+        <artifactId>flatten-maven-plugin</artifactId>
+      </plugin>
+    </plugins>
+  </build>
+</project>
\ No newline at end of file
diff --git a/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceGrpc.java b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceGrpc.java
new file mode 100644
index 000000000..2addde84a
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceGrpc.java
@@ -0,0 +1,1351 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.google.cloud.aiplatform.v1;
+
+import static io.grpc.MethodDescriptor.generateFullMethodName;
+import static io.grpc.stub.ClientCalls.asyncUnaryCall;
+import static io.grpc.stub.ClientCalls.blockingUnaryCall;
+import static io.grpc.stub.ClientCalls.futureUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
+
+/** */
+@javax.annotation.Generated(
+    value = "by gRPC proto compiler",
+    comments = "Source: google/cloud/aiplatform/v1/dataset_service.proto")
+public final class DatasetServiceGrpc {
+
+  private DatasetServiceGrpc() {}
+
+  public static final String SERVICE_NAME = "google.cloud.aiplatform.v1.DatasetService";
+
+  // Static method descriptors that strictly reflect the proto.
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateDatasetRequest, com.google.longrunning.Operation>
+      getCreateDatasetMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CreateDataset",
+      requestType = com.google.cloud.aiplatform.v1.CreateDatasetRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateDatasetRequest, com.google.longrunning.Operation>
+      getCreateDatasetMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CreateDatasetRequest, com.google.longrunning.Operation>
+        getCreateDatasetMethod;
+    if ((getCreateDatasetMethod = DatasetServiceGrpc.getCreateDatasetMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getCreateDatasetMethod = DatasetServiceGrpc.getCreateDatasetMethod) == null) {
+          DatasetServiceGrpc.getCreateDatasetMethod =
+              getCreateDatasetMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CreateDatasetRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "CreateDataset"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CreateDatasetRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new DatasetServiceMethodDescriptorSupplier("CreateDataset"))
+                      .build();
+        }
+      }
+    }
+    return getCreateDatasetMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetDatasetRequest, com.google.cloud.aiplatform.v1.Dataset>
+      getGetDatasetMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetDataset",
+      requestType = com.google.cloud.aiplatform.v1.GetDatasetRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.Dataset.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetDatasetRequest, com.google.cloud.aiplatform.v1.Dataset>
+      getGetDatasetMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetDatasetRequest,
+            com.google.cloud.aiplatform.v1.Dataset>
+        getGetDatasetMethod;
+    if ((getGetDatasetMethod = DatasetServiceGrpc.getGetDatasetMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getGetDatasetMethod = DatasetServiceGrpc.getGetDatasetMethod) == null) {
+          DatasetServiceGrpc.getGetDatasetMethod =
+              getGetDatasetMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetDatasetRequest,
+                          com.google.cloud.aiplatform.v1.Dataset>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetDataset"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetDatasetRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance()))
+                      .setSchemaDescriptor(new DatasetServiceMethodDescriptorSupplier("GetDataset"))
+                      .build();
+        }
+      }
+    }
+    return getGetDatasetMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UpdateDatasetRequest,
+          com.google.cloud.aiplatform.v1.Dataset>
+      getUpdateDatasetMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "UpdateDataset",
+      requestType = com.google.cloud.aiplatform.v1.UpdateDatasetRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.Dataset.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UpdateDatasetRequest,
+          com.google.cloud.aiplatform.v1.Dataset>
+      getUpdateDatasetMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.UpdateDatasetRequest,
+            com.google.cloud.aiplatform.v1.Dataset>
+        getUpdateDatasetMethod;
+    if ((getUpdateDatasetMethod = DatasetServiceGrpc.getUpdateDatasetMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getUpdateDatasetMethod = DatasetServiceGrpc.getUpdateDatasetMethod) == null) {
+          DatasetServiceGrpc.getUpdateDatasetMethod =
+              getUpdateDatasetMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.UpdateDatasetRequest,
+                          com.google.cloud.aiplatform.v1.Dataset>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UpdateDataset"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.UpdateDatasetRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new DatasetServiceMethodDescriptorSupplier("UpdateDataset"))
+                      .build();
+        }
+      }
+    }
+    return getUpdateDatasetMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListDatasetsRequest,
+          com.google.cloud.aiplatform.v1.ListDatasetsResponse>
+      getListDatasetsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListDatasets",
+      requestType = com.google.cloud.aiplatform.v1.ListDatasetsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListDatasetsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListDatasetsRequest,
+          com.google.cloud.aiplatform.v1.ListDatasetsResponse>
+      getListDatasetsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListDatasetsRequest,
+            com.google.cloud.aiplatform.v1.ListDatasetsResponse>
+        getListDatasetsMethod;
+    if ((getListDatasetsMethod = DatasetServiceGrpc.getListDatasetsMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getListDatasetsMethod = DatasetServiceGrpc.getListDatasetsMethod) == null) {
+          DatasetServiceGrpc.getListDatasetsMethod =
+              getListDatasetsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListDatasetsRequest,
+                          com.google.cloud.aiplatform.v1.ListDatasetsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListDatasets"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListDatasetsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListDatasetsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new DatasetServiceMethodDescriptorSupplier("ListDatasets"))
+                      .build();
+        }
+      }
+    }
+    return getListDatasetsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteDatasetRequest, com.google.longrunning.Operation>
+      getDeleteDatasetMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteDataset",
+      requestType = com.google.cloud.aiplatform.v1.DeleteDatasetRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteDatasetRequest, com.google.longrunning.Operation>
+      getDeleteDatasetMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteDatasetRequest, com.google.longrunning.Operation>
+        getDeleteDatasetMethod;
+    if ((getDeleteDatasetMethod = DatasetServiceGrpc.getDeleteDatasetMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getDeleteDatasetMethod = DatasetServiceGrpc.getDeleteDatasetMethod) == null) {
+          DatasetServiceGrpc.getDeleteDatasetMethod =
+              getDeleteDatasetMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteDatasetRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "DeleteDataset"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteDatasetRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new DatasetServiceMethodDescriptorSupplier("DeleteDataset"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteDatasetMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ImportDataRequest, com.google.longrunning.Operation>
+      getImportDataMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ImportData",
+      requestType = com.google.cloud.aiplatform.v1.ImportDataRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ImportDataRequest, com.google.longrunning.Operation>
+      getImportDataMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ImportDataRequest, com.google.longrunning.Operation>
+        getImportDataMethod;
+    if ((getImportDataMethod = DatasetServiceGrpc.getImportDataMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getImportDataMethod = DatasetServiceGrpc.getImportDataMethod) == null) {
+          DatasetServiceGrpc.getImportDataMethod =
+              getImportDataMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ImportDataRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ImportData"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ImportDataRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(new DatasetServiceMethodDescriptorSupplier("ImportData"))
+                      .build();
+        }
+      }
+    }
+    return getImportDataMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ExportDataRequest, com.google.longrunning.Operation>
+      getExportDataMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ExportData",
+      requestType = com.google.cloud.aiplatform.v1.ExportDataRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ExportDataRequest, com.google.longrunning.Operation>
+      getExportDataMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ExportDataRequest, com.google.longrunning.Operation>
+        getExportDataMethod;
+    if ((getExportDataMethod = DatasetServiceGrpc.getExportDataMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getExportDataMethod = DatasetServiceGrpc.getExportDataMethod) == null) {
+          DatasetServiceGrpc.getExportDataMethod =
+              getExportDataMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ExportDataRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ExportData"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ExportDataRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(new DatasetServiceMethodDescriptorSupplier("ExportData"))
+                      .build();
+        }
+      }
+    }
+    return getExportDataMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListDataItemsRequest,
+          com.google.cloud.aiplatform.v1.ListDataItemsResponse>
+      getListDataItemsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListDataItems",
+      requestType = com.google.cloud.aiplatform.v1.ListDataItemsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListDataItemsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListDataItemsRequest,
+          com.google.cloud.aiplatform.v1.ListDataItemsResponse>
+      getListDataItemsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListDataItemsRequest,
+            com.google.cloud.aiplatform.v1.ListDataItemsResponse>
+        getListDataItemsMethod;
+    if ((getListDataItemsMethod = DatasetServiceGrpc.getListDataItemsMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getListDataItemsMethod = DatasetServiceGrpc.getListDataItemsMethod) == null) {
+          DatasetServiceGrpc.getListDataItemsMethod =
+              getListDataItemsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListDataItemsRequest,
+                          com.google.cloud.aiplatform.v1.ListDataItemsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListDataItems"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListDataItemsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListDataItemsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new DatasetServiceMethodDescriptorSupplier("ListDataItems"))
+                      .build();
+        }
+      }
+    }
+    return getListDataItemsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest,
+          com.google.cloud.aiplatform.v1.AnnotationSpec>
+      getGetAnnotationSpecMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetAnnotationSpec",
+      requestType = com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.AnnotationSpec.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest,
+          com.google.cloud.aiplatform.v1.AnnotationSpec>
+      getGetAnnotationSpecMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest,
+            com.google.cloud.aiplatform.v1.AnnotationSpec>
+        getGetAnnotationSpecMethod;
+    if ((getGetAnnotationSpecMethod = DatasetServiceGrpc.getGetAnnotationSpecMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getGetAnnotationSpecMethod = DatasetServiceGrpc.getGetAnnotationSpecMethod) == null) {
+          DatasetServiceGrpc.getGetAnnotationSpecMethod =
+              getGetAnnotationSpecMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest,
+                          com.google.cloud.aiplatform.v1.AnnotationSpec>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetAnnotationSpec"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.AnnotationSpec.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new DatasetServiceMethodDescriptorSupplier("GetAnnotationSpec"))
+                      .build();
+        }
+      }
+    }
+    return getGetAnnotationSpecMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListAnnotationsRequest,
+          com.google.cloud.aiplatform.v1.ListAnnotationsResponse>
+      getListAnnotationsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListAnnotations",
+      requestType = com.google.cloud.aiplatform.v1.ListAnnotationsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListAnnotationsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListAnnotationsRequest,
+          com.google.cloud.aiplatform.v1.ListAnnotationsResponse>
+      getListAnnotationsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListAnnotationsRequest,
+            com.google.cloud.aiplatform.v1.ListAnnotationsResponse>
+        getListAnnotationsMethod;
+    if ((getListAnnotationsMethod = DatasetServiceGrpc.getListAnnotationsMethod) == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        if ((getListAnnotationsMethod = DatasetServiceGrpc.getListAnnotationsMethod) == null) {
+          DatasetServiceGrpc.getListAnnotationsMethod =
+              getListAnnotationsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListAnnotationsRequest,
+                          com.google.cloud.aiplatform.v1.ListAnnotationsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListAnnotations"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListAnnotationsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListAnnotationsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new DatasetServiceMethodDescriptorSupplier("ListAnnotations"))
+                      .build();
+        }
+      }
+    }
+    return getListAnnotationsMethod;
+  }
+
+  /** Creates a new async stub that supports all call types for the service */
+  public static DatasetServiceStub newStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<DatasetServiceStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<DatasetServiceStub>() {
+          @java.lang.Override
+          public DatasetServiceStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new DatasetServiceStub(channel, callOptions);
+          }
+        };
+    return DatasetServiceStub.newStub(factory, channel);
+  }
+
+  /**
+   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
+   */
+  public static DatasetServiceBlockingStub newBlockingStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<DatasetServiceBlockingStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<DatasetServiceBlockingStub>() {
+          @java.lang.Override
+          public DatasetServiceBlockingStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new DatasetServiceBlockingStub(channel, callOptions);
+          }
+        };
+    return DatasetServiceBlockingStub.newStub(factory, channel);
+  }
+
+  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
+  public static DatasetServiceFutureStub newFutureStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<DatasetServiceFutureStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<DatasetServiceFutureStub>() {
+          @java.lang.Override
+          public DatasetServiceFutureStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new DatasetServiceFutureStub(channel, callOptions);
+          }
+        };
+    return DatasetServiceFutureStub.newStub(factory, channel);
+  }
+
+  /** */
+  public abstract static class DatasetServiceImplBase implements io.grpc.BindableService {
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a Dataset.
+     * </pre>
+     */
+    public void createDataset(
+        com.google.cloud.aiplatform.v1.CreateDatasetRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getCreateDatasetMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a Dataset.
+     * </pre>
+     */
+    public void getDataset(
+        com.google.cloud.aiplatform.v1.GetDatasetRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Dataset> responseObserver) {
+      asyncUnimplementedUnaryCall(getGetDatasetMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a Dataset.
+     * </pre>
+     */
+    public void updateDataset(
+        com.google.cloud.aiplatform.v1.UpdateDatasetRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Dataset> responseObserver) {
+      asyncUnimplementedUnaryCall(getUpdateDatasetMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Datasets in a Location.
+     * </pre>
+     */
+    public void listDatasets(
+        com.google.cloud.aiplatform.v1.ListDatasetsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListDatasetsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListDatasetsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a Dataset.
+     * </pre>
+     */
+    public void deleteDataset(
+        com.google.cloud.aiplatform.v1.DeleteDatasetRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteDatasetMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Imports data into a Dataset.
+     * </pre>
+     */
+    public void importData(
+        com.google.cloud.aiplatform.v1.ImportDataRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getImportDataMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Exports data from a Dataset.
+     * </pre>
+     */
+    public void exportData(
+        com.google.cloud.aiplatform.v1.ExportDataRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getExportDataMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists DataItems in a Dataset.
+     * </pre>
+     */
+    public void listDataItems(
+        com.google.cloud.aiplatform.v1.ListDataItemsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListDataItemsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListDataItemsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets an AnnotationSpec.
+     * </pre>
+     */
+    public void getAnnotationSpec(
+        com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.AnnotationSpec>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getGetAnnotationSpecMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Annotations belongs to a dataitem
+     * </pre>
+     */
+    public void listAnnotations(
+        com.google.cloud.aiplatform.v1.ListAnnotationsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListAnnotationsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListAnnotationsMethod(), responseObserver);
+    }
+
+    @java.lang.Override
+    public final io.grpc.ServerServiceDefinition bindService() {
+      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
+          .addMethod(
+              getCreateDatasetMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CreateDatasetRequest,
+                      com.google.longrunning.Operation>(this, METHODID_CREATE_DATASET)))
+          .addMethod(
+              getGetDatasetMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetDatasetRequest,
+                      com.google.cloud.aiplatform.v1.Dataset>(this, METHODID_GET_DATASET)))
+          .addMethod(
+              getUpdateDatasetMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.UpdateDatasetRequest,
+                      com.google.cloud.aiplatform.v1.Dataset>(this, METHODID_UPDATE_DATASET)))
+          .addMethod(
+              getListDatasetsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListDatasetsRequest,
+                      com.google.cloud.aiplatform.v1.ListDatasetsResponse>(
+                      this, METHODID_LIST_DATASETS)))
+          .addMethod(
+              getDeleteDatasetMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteDatasetRequest,
+                      com.google.longrunning.Operation>(this, METHODID_DELETE_DATASET)))
+          .addMethod(
+              getImportDataMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ImportDataRequest,
+                      com.google.longrunning.Operation>(this, METHODID_IMPORT_DATA)))
+          .addMethod(
+              getExportDataMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ExportDataRequest,
+                      com.google.longrunning.Operation>(this, METHODID_EXPORT_DATA)))
+          .addMethod(
+              getListDataItemsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListDataItemsRequest,
+                      com.google.cloud.aiplatform.v1.ListDataItemsResponse>(
+                      this, METHODID_LIST_DATA_ITEMS)))
+          .addMethod(
+              getGetAnnotationSpecMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest,
+                      com.google.cloud.aiplatform.v1.AnnotationSpec>(
+                      this, METHODID_GET_ANNOTATION_SPEC)))
+          .addMethod(
+              getListAnnotationsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListAnnotationsRequest,
+                      com.google.cloud.aiplatform.v1.ListAnnotationsResponse>(
+                      this, METHODID_LIST_ANNOTATIONS)))
+          .build();
+    }
+  }
+
+  /** */
+  public static final class DatasetServiceStub
+      extends io.grpc.stub.AbstractAsyncStub<DatasetServiceStub> {
+    private DatasetServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected DatasetServiceStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new DatasetServiceStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a Dataset.
+     * </pre>
+     */
+    public void createDataset(
+        com.google.cloud.aiplatform.v1.CreateDatasetRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCreateDatasetMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a Dataset.
+     * </pre>
+     */
+    public void getDataset(
+        com.google.cloud.aiplatform.v1.GetDatasetRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Dataset> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetDatasetMethod(), getCallOptions()), request, responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a Dataset.
+     * </pre>
+     */
+    public void updateDataset(
+        com.google.cloud.aiplatform.v1.UpdateDatasetRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Dataset> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getUpdateDatasetMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Datasets in a Location.
+     * </pre>
+     */
+    public void listDatasets(
+        com.google.cloud.aiplatform.v1.ListDatasetsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListDatasetsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListDatasetsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a Dataset.
+     * </pre>
+     */
+    public void deleteDataset(
+        com.google.cloud.aiplatform.v1.DeleteDatasetRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteDatasetMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Imports data into a Dataset.
+     * </pre>
+     */
+    public void importData(
+        com.google.cloud.aiplatform.v1.ImportDataRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getImportDataMethod(), getCallOptions()), request, responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Exports data from a Dataset.
+     * </pre>
+     */
+    public void exportData(
+        com.google.cloud.aiplatform.v1.ExportDataRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getExportDataMethod(), getCallOptions()), request, responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists DataItems in a Dataset.
+     * </pre>
+     */
+    public void listDataItems(
+        com.google.cloud.aiplatform.v1.ListDataItemsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListDataItemsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListDataItemsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets an AnnotationSpec.
+     * </pre>
+     */
+    public void getAnnotationSpec(
+        com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.AnnotationSpec>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetAnnotationSpecMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Annotations belongs to a dataitem
+     * </pre>
+     */
+    public void listAnnotations(
+        com.google.cloud.aiplatform.v1.ListAnnotationsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListAnnotationsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListAnnotationsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+  }
+
+  /** */
+  public static final class DatasetServiceBlockingStub
+      extends io.grpc.stub.AbstractBlockingStub<DatasetServiceBlockingStub> {
+    private DatasetServiceBlockingStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected DatasetServiceBlockingStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new DatasetServiceBlockingStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a Dataset.
+     * </pre>
+     */
+    public com.google.longrunning.Operation createDataset(
+        com.google.cloud.aiplatform.v1.CreateDatasetRequest request) {
+      return blockingUnaryCall(getChannel(), getCreateDatasetMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a Dataset.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.Dataset getDataset(
+        com.google.cloud.aiplatform.v1.GetDatasetRequest request) {
+      return blockingUnaryCall(getChannel(), getGetDatasetMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a Dataset.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.Dataset updateDataset(
+        com.google.cloud.aiplatform.v1.UpdateDatasetRequest request) {
+      return blockingUnaryCall(getChannel(), getUpdateDatasetMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Datasets in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListDatasetsResponse listDatasets(
+        com.google.cloud.aiplatform.v1.ListDatasetsRequest request) {
+      return blockingUnaryCall(getChannel(), getListDatasetsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a Dataset.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteDataset(
+        com.google.cloud.aiplatform.v1.DeleteDatasetRequest request) {
+      return blockingUnaryCall(getChannel(), getDeleteDatasetMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Imports data into a Dataset.
+     * </pre>
+     */
+    public com.google.longrunning.Operation importData(
+        com.google.cloud.aiplatform.v1.ImportDataRequest request) {
+      return blockingUnaryCall(getChannel(), getImportDataMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Exports data from a Dataset.
+     * </pre>
+     */
+    public com.google.longrunning.Operation exportData(
+        com.google.cloud.aiplatform.v1.ExportDataRequest request) {
+      return blockingUnaryCall(getChannel(), getExportDataMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists DataItems in a Dataset.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListDataItemsResponse listDataItems(
+        com.google.cloud.aiplatform.v1.ListDataItemsRequest request) {
+      return blockingUnaryCall(getChannel(), getListDataItemsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets an AnnotationSpec.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.AnnotationSpec getAnnotationSpec(
+        com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getGetAnnotationSpecMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Annotations belongs to a dataitem
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListAnnotationsResponse listAnnotations(
+        com.google.cloud.aiplatform.v1.ListAnnotationsRequest request) {
+      return blockingUnaryCall(getChannel(), getListAnnotationsMethod(), getCallOptions(), request);
+    }
+  }
+
+  /** */
+  public static final class DatasetServiceFutureStub
+      extends io.grpc.stub.AbstractFutureStub<DatasetServiceFutureStub> {
+    private DatasetServiceFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected DatasetServiceFutureStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new DatasetServiceFutureStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a Dataset.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        createDataset(com.google.cloud.aiplatform.v1.CreateDatasetRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCreateDatasetMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a Dataset.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.Dataset>
+        getDataset(com.google.cloud.aiplatform.v1.GetDatasetRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetDatasetMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a Dataset.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.Dataset>
+        updateDataset(com.google.cloud.aiplatform.v1.UpdateDatasetRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getUpdateDatasetMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Datasets in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListDatasetsResponse>
+        listDatasets(com.google.cloud.aiplatform.v1.ListDatasetsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListDatasetsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a Dataset.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteDataset(com.google.cloud.aiplatform.v1.DeleteDatasetRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteDatasetMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Imports data into a Dataset.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        importData(com.google.cloud.aiplatform.v1.ImportDataRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getImportDataMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Exports data from a Dataset.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        exportData(com.google.cloud.aiplatform.v1.ExportDataRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getExportDataMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists DataItems in a Dataset.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListDataItemsResponse>
+        listDataItems(com.google.cloud.aiplatform.v1.ListDataItemsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListDataItemsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets an AnnotationSpec.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.AnnotationSpec>
+        getAnnotationSpec(com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetAnnotationSpecMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Annotations belongs to a dataitem
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListAnnotationsResponse>
+        listAnnotations(com.google.cloud.aiplatform.v1.ListAnnotationsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListAnnotationsMethod(), getCallOptions()), request);
+    }
+  }
+
+  private static final int METHODID_CREATE_DATASET = 0;
+  private static final int METHODID_GET_DATASET = 1;
+  private static final int METHODID_UPDATE_DATASET = 2;
+  private static final int METHODID_LIST_DATASETS = 3;
+  private static final int METHODID_DELETE_DATASET = 4;
+  private static final int METHODID_IMPORT_DATA = 5;
+  private static final int METHODID_EXPORT_DATA = 6;
+  private static final int METHODID_LIST_DATA_ITEMS = 7;
+  private static final int METHODID_GET_ANNOTATION_SPEC = 8;
+  private static final int METHODID_LIST_ANNOTATIONS = 9;
+
+  private static final class MethodHandlers<Req, Resp>
+      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
+    private final DatasetServiceImplBase serviceImpl;
+    private final int methodId;
+
+    MethodHandlers(DatasetServiceImplBase serviceImpl, int methodId) {
+      this.serviceImpl = serviceImpl;
+      this.methodId = methodId;
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        case METHODID_CREATE_DATASET:
+          serviceImpl.createDataset(
+              (com.google.cloud.aiplatform.v1.CreateDatasetRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_GET_DATASET:
+          serviceImpl.getDataset(
+              (com.google.cloud.aiplatform.v1.GetDatasetRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Dataset>)
+                  responseObserver);
+          break;
+        case METHODID_UPDATE_DATASET:
+          serviceImpl.updateDataset(
+              (com.google.cloud.aiplatform.v1.UpdateDatasetRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Dataset>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_DATASETS:
+          serviceImpl.listDatasets(
+              (com.google.cloud.aiplatform.v1.ListDatasetsRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListDatasetsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_DELETE_DATASET:
+          serviceImpl.deleteDataset(
+              (com.google.cloud.aiplatform.v1.DeleteDatasetRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_IMPORT_DATA:
+          serviceImpl.importData(
+              (com.google.cloud.aiplatform.v1.ImportDataRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_EXPORT_DATA:
+          serviceImpl.exportData(
+              (com.google.cloud.aiplatform.v1.ExportDataRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_LIST_DATA_ITEMS:
+          serviceImpl.listDataItems(
+              (com.google.cloud.aiplatform.v1.ListDataItemsRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListDataItemsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_GET_ANNOTATION_SPEC:
+          serviceImpl.getAnnotationSpec(
+              (com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.AnnotationSpec>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_ANNOTATIONS:
+          serviceImpl.listAnnotations(
+              (com.google.cloud.aiplatform.v1.ListAnnotationsRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListAnnotationsResponse>)
+                  responseObserver);
+          break;
+        default:
+          throw new AssertionError();
+      }
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public io.grpc.stub.StreamObserver<Req> invoke(
+        io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        default:
+          throw new AssertionError();
+      }
+    }
+  }
+
+  private abstract static class DatasetServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
+          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
+    DatasetServiceBaseDescriptorSupplier() {}
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto.getDescriptor();
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
+      return getFileDescriptor().findServiceByName("DatasetService");
+    }
+  }
+
+  private static final class DatasetServiceFileDescriptorSupplier
+      extends DatasetServiceBaseDescriptorSupplier {
+    DatasetServiceFileDescriptorSupplier() {}
+  }
+
+  private static final class DatasetServiceMethodDescriptorSupplier
+      extends DatasetServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
+    private final String methodName;
+
+    DatasetServiceMethodDescriptorSupplier(String methodName) {
+      this.methodName = methodName;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
+      return getServiceDescriptor().findMethodByName(methodName);
+    }
+  }
+
+  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
+
+  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
+    io.grpc.ServiceDescriptor result = serviceDescriptor;
+    if (result == null) {
+      synchronized (DatasetServiceGrpc.class) {
+        result = serviceDescriptor;
+        if (result == null) {
+          serviceDescriptor =
+              result =
+                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
+                      .setSchemaDescriptor(new DatasetServiceFileDescriptorSupplier())
+                      .addMethod(getCreateDatasetMethod())
+                      .addMethod(getGetDatasetMethod())
+                      .addMethod(getUpdateDatasetMethod())
+                      .addMethod(getListDatasetsMethod())
+                      .addMethod(getDeleteDatasetMethod())
+                      .addMethod(getImportDataMethod())
+                      .addMethod(getExportDataMethod())
+                      .addMethod(getListDataItemsMethod())
+                      .addMethod(getGetAnnotationSpecMethod())
+                      .addMethod(getListAnnotationsMethod())
+                      .build();
+        }
+      }
+    }
+    return result;
+  }
+}
diff --git a/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceGrpc.java b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceGrpc.java
new file mode 100644
index 000000000..5d1f03e87
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceGrpc.java
@@ -0,0 +1,1009 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.google.cloud.aiplatform.v1;
+
+import static io.grpc.MethodDescriptor.generateFullMethodName;
+import static io.grpc.stub.ClientCalls.asyncUnaryCall;
+import static io.grpc.stub.ClientCalls.blockingUnaryCall;
+import static io.grpc.stub.ClientCalls.futureUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
+
+/** */
+@javax.annotation.Generated(
+    value = "by gRPC proto compiler",
+    comments = "Source: google/cloud/aiplatform/v1/endpoint_service.proto")
+public final class EndpointServiceGrpc {
+
+  private EndpointServiceGrpc() {}
+
+  public static final String SERVICE_NAME = "google.cloud.aiplatform.v1.EndpointService";
+
+  // Static method descriptors that strictly reflect the proto.
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateEndpointRequest, com.google.longrunning.Operation>
+      getCreateEndpointMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CreateEndpoint",
+      requestType = com.google.cloud.aiplatform.v1.CreateEndpointRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateEndpointRequest, com.google.longrunning.Operation>
+      getCreateEndpointMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CreateEndpointRequest, com.google.longrunning.Operation>
+        getCreateEndpointMethod;
+    if ((getCreateEndpointMethod = EndpointServiceGrpc.getCreateEndpointMethod) == null) {
+      synchronized (EndpointServiceGrpc.class) {
+        if ((getCreateEndpointMethod = EndpointServiceGrpc.getCreateEndpointMethod) == null) {
+          EndpointServiceGrpc.getCreateEndpointMethod =
+              getCreateEndpointMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CreateEndpointRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "CreateEndpoint"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CreateEndpointRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new EndpointServiceMethodDescriptorSupplier("CreateEndpoint"))
+                      .build();
+        }
+      }
+    }
+    return getCreateEndpointMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetEndpointRequest,
+          com.google.cloud.aiplatform.v1.Endpoint>
+      getGetEndpointMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetEndpoint",
+      requestType = com.google.cloud.aiplatform.v1.GetEndpointRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.Endpoint.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetEndpointRequest,
+          com.google.cloud.aiplatform.v1.Endpoint>
+      getGetEndpointMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetEndpointRequest,
+            com.google.cloud.aiplatform.v1.Endpoint>
+        getGetEndpointMethod;
+    if ((getGetEndpointMethod = EndpointServiceGrpc.getGetEndpointMethod) == null) {
+      synchronized (EndpointServiceGrpc.class) {
+        if ((getGetEndpointMethod = EndpointServiceGrpc.getGetEndpointMethod) == null) {
+          EndpointServiceGrpc.getGetEndpointMethod =
+              getGetEndpointMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetEndpointRequest,
+                          com.google.cloud.aiplatform.v1.Endpoint>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetEndpoint"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetEndpointRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new EndpointServiceMethodDescriptorSupplier("GetEndpoint"))
+                      .build();
+        }
+      }
+    }
+    return getGetEndpointMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListEndpointsRequest,
+          com.google.cloud.aiplatform.v1.ListEndpointsResponse>
+      getListEndpointsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListEndpoints",
+      requestType = com.google.cloud.aiplatform.v1.ListEndpointsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListEndpointsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListEndpointsRequest,
+          com.google.cloud.aiplatform.v1.ListEndpointsResponse>
+      getListEndpointsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListEndpointsRequest,
+            com.google.cloud.aiplatform.v1.ListEndpointsResponse>
+        getListEndpointsMethod;
+    if ((getListEndpointsMethod = EndpointServiceGrpc.getListEndpointsMethod) == null) {
+      synchronized (EndpointServiceGrpc.class) {
+        if ((getListEndpointsMethod = EndpointServiceGrpc.getListEndpointsMethod) == null) {
+          EndpointServiceGrpc.getListEndpointsMethod =
+              getListEndpointsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListEndpointsRequest,
+                          com.google.cloud.aiplatform.v1.ListEndpointsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListEndpoints"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListEndpointsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListEndpointsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new EndpointServiceMethodDescriptorSupplier("ListEndpoints"))
+                      .build();
+        }
+      }
+    }
+    return getListEndpointsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UpdateEndpointRequest,
+          com.google.cloud.aiplatform.v1.Endpoint>
+      getUpdateEndpointMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "UpdateEndpoint",
+      requestType = com.google.cloud.aiplatform.v1.UpdateEndpointRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.Endpoint.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UpdateEndpointRequest,
+          com.google.cloud.aiplatform.v1.Endpoint>
+      getUpdateEndpointMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.UpdateEndpointRequest,
+            com.google.cloud.aiplatform.v1.Endpoint>
+        getUpdateEndpointMethod;
+    if ((getUpdateEndpointMethod = EndpointServiceGrpc.getUpdateEndpointMethod) == null) {
+      synchronized (EndpointServiceGrpc.class) {
+        if ((getUpdateEndpointMethod = EndpointServiceGrpc.getUpdateEndpointMethod) == null) {
+          EndpointServiceGrpc.getUpdateEndpointMethod =
+              getUpdateEndpointMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.UpdateEndpointRequest,
+                          com.google.cloud.aiplatform.v1.Endpoint>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UpdateEndpoint"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.UpdateEndpointRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new EndpointServiceMethodDescriptorSupplier("UpdateEndpoint"))
+                      .build();
+        }
+      }
+    }
+    return getUpdateEndpointMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteEndpointRequest, com.google.longrunning.Operation>
+      getDeleteEndpointMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteEndpoint",
+      requestType = com.google.cloud.aiplatform.v1.DeleteEndpointRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteEndpointRequest, com.google.longrunning.Operation>
+      getDeleteEndpointMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteEndpointRequest, com.google.longrunning.Operation>
+        getDeleteEndpointMethod;
+    if ((getDeleteEndpointMethod = EndpointServiceGrpc.getDeleteEndpointMethod) == null) {
+      synchronized (EndpointServiceGrpc.class) {
+        if ((getDeleteEndpointMethod = EndpointServiceGrpc.getDeleteEndpointMethod) == null) {
+          EndpointServiceGrpc.getDeleteEndpointMethod =
+              getDeleteEndpointMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteEndpointRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "DeleteEndpoint"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteEndpointRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new EndpointServiceMethodDescriptorSupplier("DeleteEndpoint"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteEndpointMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeployModelRequest, com.google.longrunning.Operation>
+      getDeployModelMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeployModel",
+      requestType = com.google.cloud.aiplatform.v1.DeployModelRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeployModelRequest, com.google.longrunning.Operation>
+      getDeployModelMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeployModelRequest, com.google.longrunning.Operation>
+        getDeployModelMethod;
+    if ((getDeployModelMethod = EndpointServiceGrpc.getDeployModelMethod) == null) {
+      synchronized (EndpointServiceGrpc.class) {
+        if ((getDeployModelMethod = EndpointServiceGrpc.getDeployModelMethod) == null) {
+          EndpointServiceGrpc.getDeployModelMethod =
+              getDeployModelMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeployModelRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "DeployModel"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeployModelRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new EndpointServiceMethodDescriptorSupplier("DeployModel"))
+                      .build();
+        }
+      }
+    }
+    return getDeployModelMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UndeployModelRequest, com.google.longrunning.Operation>
+      getUndeployModelMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "UndeployModel",
+      requestType = com.google.cloud.aiplatform.v1.UndeployModelRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UndeployModelRequest, com.google.longrunning.Operation>
+      getUndeployModelMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.UndeployModelRequest, com.google.longrunning.Operation>
+        getUndeployModelMethod;
+    if ((getUndeployModelMethod = EndpointServiceGrpc.getUndeployModelMethod) == null) {
+      synchronized (EndpointServiceGrpc.class) {
+        if ((getUndeployModelMethod = EndpointServiceGrpc.getUndeployModelMethod) == null) {
+          EndpointServiceGrpc.getUndeployModelMethod =
+              getUndeployModelMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.UndeployModelRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UndeployModel"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.UndeployModelRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new EndpointServiceMethodDescriptorSupplier("UndeployModel"))
+                      .build();
+        }
+      }
+    }
+    return getUndeployModelMethod;
+  }
+
+  /** Creates a new async stub that supports all call types for the service */
+  public static EndpointServiceStub newStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<EndpointServiceStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<EndpointServiceStub>() {
+          @java.lang.Override
+          public EndpointServiceStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new EndpointServiceStub(channel, callOptions);
+          }
+        };
+    return EndpointServiceStub.newStub(factory, channel);
+  }
+
+  /**
+   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
+   */
+  public static EndpointServiceBlockingStub newBlockingStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<EndpointServiceBlockingStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<EndpointServiceBlockingStub>() {
+          @java.lang.Override
+          public EndpointServiceBlockingStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new EndpointServiceBlockingStub(channel, callOptions);
+          }
+        };
+    return EndpointServiceBlockingStub.newStub(factory, channel);
+  }
+
+  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
+  public static EndpointServiceFutureStub newFutureStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<EndpointServiceFutureStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<EndpointServiceFutureStub>() {
+          @java.lang.Override
+          public EndpointServiceFutureStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new EndpointServiceFutureStub(channel, callOptions);
+          }
+        };
+    return EndpointServiceFutureStub.newStub(factory, channel);
+  }
+
+  /** */
+  public abstract static class EndpointServiceImplBase implements io.grpc.BindableService {
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates an Endpoint.
+     * </pre>
+     */
+    public void createEndpoint(
+        com.google.cloud.aiplatform.v1.CreateEndpointRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getCreateEndpointMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets an Endpoint.
+     * </pre>
+     */
+    public void getEndpoint(
+        com.google.cloud.aiplatform.v1.GetEndpointRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Endpoint> responseObserver) {
+      asyncUnimplementedUnaryCall(getGetEndpointMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Endpoints in a Location.
+     * </pre>
+     */
+    public void listEndpoints(
+        com.google.cloud.aiplatform.v1.ListEndpointsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListEndpointsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListEndpointsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates an Endpoint.
+     * </pre>
+     */
+    public void updateEndpoint(
+        com.google.cloud.aiplatform.v1.UpdateEndpointRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Endpoint> responseObserver) {
+      asyncUnimplementedUnaryCall(getUpdateEndpointMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes an Endpoint.
+     * </pre>
+     */
+    public void deleteEndpoint(
+        com.google.cloud.aiplatform.v1.DeleteEndpointRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteEndpointMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+     * </pre>
+     */
+    public void deployModel(
+        com.google.cloud.aiplatform.v1.DeployModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeployModelMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
+     * freeing all resources it's using.
+     * </pre>
+     */
+    public void undeployModel(
+        com.google.cloud.aiplatform.v1.UndeployModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getUndeployModelMethod(), responseObserver);
+    }
+
+    @java.lang.Override
+    public final io.grpc.ServerServiceDefinition bindService() {
+      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
+          .addMethod(
+              getCreateEndpointMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CreateEndpointRequest,
+                      com.google.longrunning.Operation>(this, METHODID_CREATE_ENDPOINT)))
+          .addMethod(
+              getGetEndpointMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetEndpointRequest,
+                      com.google.cloud.aiplatform.v1.Endpoint>(this, METHODID_GET_ENDPOINT)))
+          .addMethod(
+              getListEndpointsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListEndpointsRequest,
+                      com.google.cloud.aiplatform.v1.ListEndpointsResponse>(
+                      this, METHODID_LIST_ENDPOINTS)))
+          .addMethod(
+              getUpdateEndpointMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.UpdateEndpointRequest,
+                      com.google.cloud.aiplatform.v1.Endpoint>(this, METHODID_UPDATE_ENDPOINT)))
+          .addMethod(
+              getDeleteEndpointMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteEndpointRequest,
+                      com.google.longrunning.Operation>(this, METHODID_DELETE_ENDPOINT)))
+          .addMethod(
+              getDeployModelMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeployModelRequest,
+                      com.google.longrunning.Operation>(this, METHODID_DEPLOY_MODEL)))
+          .addMethod(
+              getUndeployModelMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.UndeployModelRequest,
+                      com.google.longrunning.Operation>(this, METHODID_UNDEPLOY_MODEL)))
+          .build();
+    }
+  }
+
+  /** */
+  public static final class EndpointServiceStub
+      extends io.grpc.stub.AbstractAsyncStub<EndpointServiceStub> {
+    private EndpointServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected EndpointServiceStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new EndpointServiceStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates an Endpoint.
+     * </pre>
+     */
+    public void createEndpoint(
+        com.google.cloud.aiplatform.v1.CreateEndpointRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCreateEndpointMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets an Endpoint.
+     * </pre>
+     */
+    public void getEndpoint(
+        com.google.cloud.aiplatform.v1.GetEndpointRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Endpoint> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetEndpointMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Endpoints in a Location.
+     * </pre>
+     */
+    public void listEndpoints(
+        com.google.cloud.aiplatform.v1.ListEndpointsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListEndpointsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListEndpointsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates an Endpoint.
+     * </pre>
+     */
+    public void updateEndpoint(
+        com.google.cloud.aiplatform.v1.UpdateEndpointRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Endpoint> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getUpdateEndpointMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes an Endpoint.
+     * </pre>
+     */
+    public void deleteEndpoint(
+        com.google.cloud.aiplatform.v1.DeleteEndpointRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteEndpointMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+     * </pre>
+     */
+    public void deployModel(
+        com.google.cloud.aiplatform.v1.DeployModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeployModelMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
+     * freeing all resources it's using.
+     * </pre>
+     */
+    public void undeployModel(
+        com.google.cloud.aiplatform.v1.UndeployModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getUndeployModelMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+  }
+
+  /** */
+  public static final class EndpointServiceBlockingStub
+      extends io.grpc.stub.AbstractBlockingStub<EndpointServiceBlockingStub> {
+    private EndpointServiceBlockingStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected EndpointServiceBlockingStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new EndpointServiceBlockingStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates an Endpoint.
+     * </pre>
+     */
+    public com.google.longrunning.Operation createEndpoint(
+        com.google.cloud.aiplatform.v1.CreateEndpointRequest request) {
+      return blockingUnaryCall(getChannel(), getCreateEndpointMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets an Endpoint.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint getEndpoint(
+        com.google.cloud.aiplatform.v1.GetEndpointRequest request) {
+      return blockingUnaryCall(getChannel(), getGetEndpointMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Endpoints in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListEndpointsResponse listEndpoints(
+        com.google.cloud.aiplatform.v1.ListEndpointsRequest request) {
+      return blockingUnaryCall(getChannel(), getListEndpointsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates an Endpoint.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint updateEndpoint(
+        com.google.cloud.aiplatform.v1.UpdateEndpointRequest request) {
+      return blockingUnaryCall(getChannel(), getUpdateEndpointMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes an Endpoint.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteEndpoint(
+        com.google.cloud.aiplatform.v1.DeleteEndpointRequest request) {
+      return blockingUnaryCall(getChannel(), getDeleteEndpointMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deployModel(
+        com.google.cloud.aiplatform.v1.DeployModelRequest request) {
+      return blockingUnaryCall(getChannel(), getDeployModelMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
+     * freeing all resources it's using.
+     * </pre>
+     */
+    public com.google.longrunning.Operation undeployModel(
+        com.google.cloud.aiplatform.v1.UndeployModelRequest request) {
+      return blockingUnaryCall(getChannel(), getUndeployModelMethod(), getCallOptions(), request);
+    }
+  }
+
+  /** */
+  public static final class EndpointServiceFutureStub
+      extends io.grpc.stub.AbstractFutureStub<EndpointServiceFutureStub> {
+    private EndpointServiceFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected EndpointServiceFutureStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new EndpointServiceFutureStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates an Endpoint.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        createEndpoint(com.google.cloud.aiplatform.v1.CreateEndpointRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCreateEndpointMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets an Endpoint.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.Endpoint>
+        getEndpoint(com.google.cloud.aiplatform.v1.GetEndpointRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetEndpointMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Endpoints in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListEndpointsResponse>
+        listEndpoints(com.google.cloud.aiplatform.v1.ListEndpointsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListEndpointsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates an Endpoint.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.Endpoint>
+        updateEndpoint(com.google.cloud.aiplatform.v1.UpdateEndpointRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getUpdateEndpointMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes an Endpoint.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteEndpoint(com.google.cloud.aiplatform.v1.DeleteEndpointRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteEndpointMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deploys a Model into this Endpoint, creating a DeployedModel within it.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deployModel(com.google.cloud.aiplatform.v1.DeployModelRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeployModelMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
+     * freeing all resources it's using.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        undeployModel(com.google.cloud.aiplatform.v1.UndeployModelRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getUndeployModelMethod(), getCallOptions()), request);
+    }
+  }
+
+  private static final int METHODID_CREATE_ENDPOINT = 0;
+  private static final int METHODID_GET_ENDPOINT = 1;
+  private static final int METHODID_LIST_ENDPOINTS = 2;
+  private static final int METHODID_UPDATE_ENDPOINT = 3;
+  private static final int METHODID_DELETE_ENDPOINT = 4;
+  private static final int METHODID_DEPLOY_MODEL = 5;
+  private static final int METHODID_UNDEPLOY_MODEL = 6;
+
+  private static final class MethodHandlers<Req, Resp>
+      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
+    private final EndpointServiceImplBase serviceImpl;
+    private final int methodId;
+
+    MethodHandlers(EndpointServiceImplBase serviceImpl, int methodId) {
+      this.serviceImpl = serviceImpl;
+      this.methodId = methodId;
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        case METHODID_CREATE_ENDPOINT:
+          serviceImpl.createEndpoint(
+              (com.google.cloud.aiplatform.v1.CreateEndpointRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_GET_ENDPOINT:
+          serviceImpl.getEndpoint(
+              (com.google.cloud.aiplatform.v1.GetEndpointRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Endpoint>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_ENDPOINTS:
+          serviceImpl.listEndpoints(
+              (com.google.cloud.aiplatform.v1.ListEndpointsRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListEndpointsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_UPDATE_ENDPOINT:
+          serviceImpl.updateEndpoint(
+              (com.google.cloud.aiplatform.v1.UpdateEndpointRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Endpoint>)
+                  responseObserver);
+          break;
+        case METHODID_DELETE_ENDPOINT:
+          serviceImpl.deleteEndpoint(
+              (com.google.cloud.aiplatform.v1.DeleteEndpointRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_DEPLOY_MODEL:
+          serviceImpl.deployModel(
+              (com.google.cloud.aiplatform.v1.DeployModelRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_UNDEPLOY_MODEL:
+          serviceImpl.undeployModel(
+              (com.google.cloud.aiplatform.v1.UndeployModelRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        default:
+          throw new AssertionError();
+      }
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public io.grpc.stub.StreamObserver<Req> invoke(
+        io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        default:
+          throw new AssertionError();
+      }
+    }
+  }
+
+  private abstract static class EndpointServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
+          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
+    EndpointServiceBaseDescriptorSupplier() {}
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto.getDescriptor();
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
+      return getFileDescriptor().findServiceByName("EndpointService");
+    }
+  }
+
+  private static final class EndpointServiceFileDescriptorSupplier
+      extends EndpointServiceBaseDescriptorSupplier {
+    EndpointServiceFileDescriptorSupplier() {}
+  }
+
+  private static final class EndpointServiceMethodDescriptorSupplier
+      extends EndpointServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
+    private final String methodName;
+
+    EndpointServiceMethodDescriptorSupplier(String methodName) {
+      this.methodName = methodName;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
+      return getServiceDescriptor().findMethodByName(methodName);
+    }
+  }
+
+  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
+
+  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
+    io.grpc.ServiceDescriptor result = serviceDescriptor;
+    if (result == null) {
+      synchronized (EndpointServiceGrpc.class) {
+        result = serviceDescriptor;
+        if (result == null) {
+          serviceDescriptor =
+              result =
+                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
+                      .setSchemaDescriptor(new EndpointServiceFileDescriptorSupplier())
+                      .addMethod(getCreateEndpointMethod())
+                      .addMethod(getGetEndpointMethod())
+                      .addMethod(getListEndpointsMethod())
+                      .addMethod(getUpdateEndpointMethod())
+                      .addMethod(getDeleteEndpointMethod())
+                      .addMethod(getDeployModelMethod())
+                      .addMethod(getUndeployModelMethod())
+                      .build();
+        }
+      }
+    }
+    return result;
+  }
+}
diff --git a/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceGrpc.java b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceGrpc.java
new file mode 100644
index 000000000..db737bf99
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceGrpc.java
@@ -0,0 +1,2749 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.google.cloud.aiplatform.v1;
+
+import static io.grpc.MethodDescriptor.generateFullMethodName;
+import static io.grpc.stub.ClientCalls.asyncUnaryCall;
+import static io.grpc.stub.ClientCalls.blockingUnaryCall;
+import static io.grpc.stub.ClientCalls.futureUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
+
+/**
+ *
+ *
+ * <pre>
+ * A service for creating and managing AI Platform's jobs.
+ * </pre>
+ */
+@javax.annotation.Generated(
+    value = "by gRPC proto compiler",
+    comments = "Source: google/cloud/aiplatform/v1/job_service.proto")
+public final class JobServiceGrpc {
+
+  private JobServiceGrpc() {}
+
+  public static final String SERVICE_NAME = "google.cloud.aiplatform.v1.JobService";
+
+  // Static method descriptors that strictly reflect the proto.
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateCustomJobRequest,
+          com.google.cloud.aiplatform.v1.CustomJob>
+      getCreateCustomJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CreateCustomJob",
+      requestType = com.google.cloud.aiplatform.v1.CreateCustomJobRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.CustomJob.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateCustomJobRequest,
+          com.google.cloud.aiplatform.v1.CustomJob>
+      getCreateCustomJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CreateCustomJobRequest,
+            com.google.cloud.aiplatform.v1.CustomJob>
+        getCreateCustomJobMethod;
+    if ((getCreateCustomJobMethod = JobServiceGrpc.getCreateCustomJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getCreateCustomJobMethod = JobServiceGrpc.getCreateCustomJobMethod) == null) {
+          JobServiceGrpc.getCreateCustomJobMethod =
+              getCreateCustomJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CreateCustomJobRequest,
+                          com.google.cloud.aiplatform.v1.CustomJob>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "CreateCustomJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CreateCustomJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CustomJob.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("CreateCustomJob"))
+                      .build();
+        }
+      }
+    }
+    return getCreateCustomJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetCustomJobRequest,
+          com.google.cloud.aiplatform.v1.CustomJob>
+      getGetCustomJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetCustomJob",
+      requestType = com.google.cloud.aiplatform.v1.GetCustomJobRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.CustomJob.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetCustomJobRequest,
+          com.google.cloud.aiplatform.v1.CustomJob>
+      getGetCustomJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetCustomJobRequest,
+            com.google.cloud.aiplatform.v1.CustomJob>
+        getGetCustomJobMethod;
+    if ((getGetCustomJobMethod = JobServiceGrpc.getGetCustomJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getGetCustomJobMethod = JobServiceGrpc.getGetCustomJobMethod) == null) {
+          JobServiceGrpc.getGetCustomJobMethod =
+              getGetCustomJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetCustomJobRequest,
+                          com.google.cloud.aiplatform.v1.CustomJob>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetCustomJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetCustomJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CustomJob.getDefaultInstance()))
+                      .setSchemaDescriptor(new JobServiceMethodDescriptorSupplier("GetCustomJob"))
+                      .build();
+        }
+      }
+    }
+    return getGetCustomJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListCustomJobsRequest,
+          com.google.cloud.aiplatform.v1.ListCustomJobsResponse>
+      getListCustomJobsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListCustomJobs",
+      requestType = com.google.cloud.aiplatform.v1.ListCustomJobsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListCustomJobsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListCustomJobsRequest,
+          com.google.cloud.aiplatform.v1.ListCustomJobsResponse>
+      getListCustomJobsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListCustomJobsRequest,
+            com.google.cloud.aiplatform.v1.ListCustomJobsResponse>
+        getListCustomJobsMethod;
+    if ((getListCustomJobsMethod = JobServiceGrpc.getListCustomJobsMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getListCustomJobsMethod = JobServiceGrpc.getListCustomJobsMethod) == null) {
+          JobServiceGrpc.getListCustomJobsMethod =
+              getListCustomJobsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListCustomJobsRequest,
+                          com.google.cloud.aiplatform.v1.ListCustomJobsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListCustomJobs"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListCustomJobsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListCustomJobsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(new JobServiceMethodDescriptorSupplier("ListCustomJobs"))
+                      .build();
+        }
+      }
+    }
+    return getListCustomJobsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteCustomJobRequest, com.google.longrunning.Operation>
+      getDeleteCustomJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteCustomJob",
+      requestType = com.google.cloud.aiplatform.v1.DeleteCustomJobRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteCustomJobRequest, com.google.longrunning.Operation>
+      getDeleteCustomJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteCustomJobRequest, com.google.longrunning.Operation>
+        getDeleteCustomJobMethod;
+    if ((getDeleteCustomJobMethod = JobServiceGrpc.getDeleteCustomJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getDeleteCustomJobMethod = JobServiceGrpc.getDeleteCustomJobMethod) == null) {
+          JobServiceGrpc.getDeleteCustomJobMethod =
+              getDeleteCustomJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteCustomJobRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "DeleteCustomJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteCustomJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("DeleteCustomJob"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteCustomJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelCustomJobRequest, com.google.protobuf.Empty>
+      getCancelCustomJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CancelCustomJob",
+      requestType = com.google.cloud.aiplatform.v1.CancelCustomJobRequest.class,
+      responseType = com.google.protobuf.Empty.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelCustomJobRequest, com.google.protobuf.Empty>
+      getCancelCustomJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CancelCustomJobRequest, com.google.protobuf.Empty>
+        getCancelCustomJobMethod;
+    if ((getCancelCustomJobMethod = JobServiceGrpc.getCancelCustomJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getCancelCustomJobMethod = JobServiceGrpc.getCancelCustomJobMethod) == null) {
+          JobServiceGrpc.getCancelCustomJobMethod =
+              getCancelCustomJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CancelCustomJobRequest,
+                          com.google.protobuf.Empty>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "CancelCustomJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CancelCustomJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.protobuf.Empty.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("CancelCustomJob"))
+                      .build();
+        }
+      }
+    }
+    return getCancelCustomJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest,
+          com.google.cloud.aiplatform.v1.DataLabelingJob>
+      getCreateDataLabelingJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CreateDataLabelingJob",
+      requestType = com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.DataLabelingJob.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest,
+          com.google.cloud.aiplatform.v1.DataLabelingJob>
+      getCreateDataLabelingJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest,
+            com.google.cloud.aiplatform.v1.DataLabelingJob>
+        getCreateDataLabelingJobMethod;
+    if ((getCreateDataLabelingJobMethod = JobServiceGrpc.getCreateDataLabelingJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getCreateDataLabelingJobMethod = JobServiceGrpc.getCreateDataLabelingJobMethod)
+            == null) {
+          JobServiceGrpc.getCreateDataLabelingJobMethod =
+              getCreateDataLabelingJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest,
+                          com.google.cloud.aiplatform.v1.DataLabelingJob>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CreateDataLabelingJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DataLabelingJob.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("CreateDataLabelingJob"))
+                      .build();
+        }
+      }
+    }
+    return getCreateDataLabelingJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest,
+          com.google.cloud.aiplatform.v1.DataLabelingJob>
+      getGetDataLabelingJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetDataLabelingJob",
+      requestType = com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.DataLabelingJob.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest,
+          com.google.cloud.aiplatform.v1.DataLabelingJob>
+      getGetDataLabelingJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest,
+            com.google.cloud.aiplatform.v1.DataLabelingJob>
+        getGetDataLabelingJobMethod;
+    if ((getGetDataLabelingJobMethod = JobServiceGrpc.getGetDataLabelingJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getGetDataLabelingJobMethod = JobServiceGrpc.getGetDataLabelingJobMethod) == null) {
+          JobServiceGrpc.getGetDataLabelingJobMethod =
+              getGetDataLabelingJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest,
+                          com.google.cloud.aiplatform.v1.DataLabelingJob>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetDataLabelingJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DataLabelingJob.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("GetDataLabelingJob"))
+                      .build();
+        }
+      }
+    }
+    return getGetDataLabelingJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest,
+          com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>
+      getListDataLabelingJobsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListDataLabelingJobs",
+      requestType = com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest,
+          com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>
+      getListDataLabelingJobsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest,
+            com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>
+        getListDataLabelingJobsMethod;
+    if ((getListDataLabelingJobsMethod = JobServiceGrpc.getListDataLabelingJobsMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getListDataLabelingJobsMethod = JobServiceGrpc.getListDataLabelingJobsMethod)
+            == null) {
+          JobServiceGrpc.getListDataLabelingJobsMethod =
+              getListDataLabelingJobsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest,
+                          com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ListDataLabelingJobs"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("ListDataLabelingJobs"))
+                      .build();
+        }
+      }
+    }
+    return getListDataLabelingJobsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest,
+          com.google.longrunning.Operation>
+      getDeleteDataLabelingJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteDataLabelingJob",
+      requestType = com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest,
+          com.google.longrunning.Operation>
+      getDeleteDataLabelingJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest,
+            com.google.longrunning.Operation>
+        getDeleteDataLabelingJobMethod;
+    if ((getDeleteDataLabelingJobMethod = JobServiceGrpc.getDeleteDataLabelingJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getDeleteDataLabelingJobMethod = JobServiceGrpc.getDeleteDataLabelingJobMethod)
+            == null) {
+          JobServiceGrpc.getDeleteDataLabelingJobMethod =
+              getDeleteDataLabelingJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "DeleteDataLabelingJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("DeleteDataLabelingJob"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteDataLabelingJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest, com.google.protobuf.Empty>
+      getCancelDataLabelingJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CancelDataLabelingJob",
+      requestType = com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.class,
+      responseType = com.google.protobuf.Empty.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest, com.google.protobuf.Empty>
+      getCancelDataLabelingJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest, com.google.protobuf.Empty>
+        getCancelDataLabelingJobMethod;
+    if ((getCancelDataLabelingJobMethod = JobServiceGrpc.getCancelDataLabelingJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getCancelDataLabelingJobMethod = JobServiceGrpc.getCancelDataLabelingJobMethod)
+            == null) {
+          JobServiceGrpc.getCancelDataLabelingJobMethod =
+              getCancelDataLabelingJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest,
+                          com.google.protobuf.Empty>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CancelDataLabelingJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.protobuf.Empty.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("CancelDataLabelingJob"))
+                      .build();
+        }
+      }
+    }
+    return getCancelDataLabelingJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest,
+          com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+      getCreateHyperparameterTuningJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CreateHyperparameterTuningJob",
+      requestType = com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.HyperparameterTuningJob.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest,
+          com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+      getCreateHyperparameterTuningJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+        getCreateHyperparameterTuningJobMethod;
+    if ((getCreateHyperparameterTuningJobMethod =
+            JobServiceGrpc.getCreateHyperparameterTuningJobMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getCreateHyperparameterTuningJobMethod =
+                JobServiceGrpc.getCreateHyperparameterTuningJobMethod)
+            == null) {
+          JobServiceGrpc.getCreateHyperparameterTuningJobMethod =
+              getCreateHyperparameterTuningJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest,
+                          com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CreateHyperparameterTuningJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.HyperparameterTuningJob
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("CreateHyperparameterTuningJob"))
+                      .build();
+        }
+      }
+    }
+    return getCreateHyperparameterTuningJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest,
+          com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+      getGetHyperparameterTuningJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetHyperparameterTuningJob",
+      requestType = com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.HyperparameterTuningJob.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest,
+          com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+      getGetHyperparameterTuningJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+        getGetHyperparameterTuningJobMethod;
+    if ((getGetHyperparameterTuningJobMethod = JobServiceGrpc.getGetHyperparameterTuningJobMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getGetHyperparameterTuningJobMethod =
+                JobServiceGrpc.getGetHyperparameterTuningJobMethod)
+            == null) {
+          JobServiceGrpc.getGetHyperparameterTuningJobMethod =
+              getGetHyperparameterTuningJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest,
+                          com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "GetHyperparameterTuningJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.HyperparameterTuningJob
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("GetHyperparameterTuningJob"))
+                      .build();
+        }
+      }
+    }
+    return getGetHyperparameterTuningJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest,
+          com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>
+      getListHyperparameterTuningJobsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListHyperparameterTuningJobs",
+      requestType = com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest,
+          com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>
+      getListHyperparameterTuningJobsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest,
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>
+        getListHyperparameterTuningJobsMethod;
+    if ((getListHyperparameterTuningJobsMethod =
+            JobServiceGrpc.getListHyperparameterTuningJobsMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getListHyperparameterTuningJobsMethod =
+                JobServiceGrpc.getListHyperparameterTuningJobsMethod)
+            == null) {
+          JobServiceGrpc.getListHyperparameterTuningJobsMethod =
+              getListHyperparameterTuningJobsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest,
+                          com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ListHyperparameterTuningJobs"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("ListHyperparameterTuningJobs"))
+                      .build();
+        }
+      }
+    }
+    return getListHyperparameterTuningJobsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest,
+          com.google.longrunning.Operation>
+      getDeleteHyperparameterTuningJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteHyperparameterTuningJob",
+      requestType = com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest,
+          com.google.longrunning.Operation>
+      getDeleteHyperparameterTuningJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest,
+            com.google.longrunning.Operation>
+        getDeleteHyperparameterTuningJobMethod;
+    if ((getDeleteHyperparameterTuningJobMethod =
+            JobServiceGrpc.getDeleteHyperparameterTuningJobMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getDeleteHyperparameterTuningJobMethod =
+                JobServiceGrpc.getDeleteHyperparameterTuningJobMethod)
+            == null) {
+          JobServiceGrpc.getDeleteHyperparameterTuningJobMethod =
+              getDeleteHyperparameterTuningJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "DeleteHyperparameterTuningJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("DeleteHyperparameterTuningJob"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteHyperparameterTuningJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest,
+          com.google.protobuf.Empty>
+      getCancelHyperparameterTuningJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CancelHyperparameterTuningJob",
+      requestType = com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest.class,
+      responseType = com.google.protobuf.Empty.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest,
+          com.google.protobuf.Empty>
+      getCancelHyperparameterTuningJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest,
+            com.google.protobuf.Empty>
+        getCancelHyperparameterTuningJobMethod;
+    if ((getCancelHyperparameterTuningJobMethod =
+            JobServiceGrpc.getCancelHyperparameterTuningJobMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getCancelHyperparameterTuningJobMethod =
+                JobServiceGrpc.getCancelHyperparameterTuningJobMethod)
+            == null) {
+          JobServiceGrpc.getCancelHyperparameterTuningJobMethod =
+              getCancelHyperparameterTuningJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest,
+                          com.google.protobuf.Empty>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CancelHyperparameterTuningJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.protobuf.Empty.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("CancelHyperparameterTuningJob"))
+                      .build();
+        }
+      }
+    }
+    return getCancelHyperparameterTuningJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest,
+          com.google.cloud.aiplatform.v1.BatchPredictionJob>
+      getCreateBatchPredictionJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CreateBatchPredictionJob",
+      requestType = com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.BatchPredictionJob.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest,
+          com.google.cloud.aiplatform.v1.BatchPredictionJob>
+      getCreateBatchPredictionJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob>
+        getCreateBatchPredictionJobMethod;
+    if ((getCreateBatchPredictionJobMethod = JobServiceGrpc.getCreateBatchPredictionJobMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getCreateBatchPredictionJobMethod = JobServiceGrpc.getCreateBatchPredictionJobMethod)
+            == null) {
+          JobServiceGrpc.getCreateBatchPredictionJobMethod =
+              getCreateBatchPredictionJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest,
+                          com.google.cloud.aiplatform.v1.BatchPredictionJob>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CreateBatchPredictionJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.BatchPredictionJob
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("CreateBatchPredictionJob"))
+                      .build();
+        }
+      }
+    }
+    return getCreateBatchPredictionJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest,
+          com.google.cloud.aiplatform.v1.BatchPredictionJob>
+      getGetBatchPredictionJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetBatchPredictionJob",
+      requestType = com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.BatchPredictionJob.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest,
+          com.google.cloud.aiplatform.v1.BatchPredictionJob>
+      getGetBatchPredictionJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob>
+        getGetBatchPredictionJobMethod;
+    if ((getGetBatchPredictionJobMethod = JobServiceGrpc.getGetBatchPredictionJobMethod) == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getGetBatchPredictionJobMethod = JobServiceGrpc.getGetBatchPredictionJobMethod)
+            == null) {
+          JobServiceGrpc.getGetBatchPredictionJobMethod =
+              getGetBatchPredictionJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest,
+                          com.google.cloud.aiplatform.v1.BatchPredictionJob>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "GetBatchPredictionJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.BatchPredictionJob
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("GetBatchPredictionJob"))
+                      .build();
+        }
+      }
+    }
+    return getGetBatchPredictionJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest,
+          com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>
+      getListBatchPredictionJobsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListBatchPredictionJobs",
+      requestType = com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest,
+          com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>
+      getListBatchPredictionJobsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest,
+            com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>
+        getListBatchPredictionJobsMethod;
+    if ((getListBatchPredictionJobsMethod = JobServiceGrpc.getListBatchPredictionJobsMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getListBatchPredictionJobsMethod = JobServiceGrpc.getListBatchPredictionJobsMethod)
+            == null) {
+          JobServiceGrpc.getListBatchPredictionJobsMethod =
+              getListBatchPredictionJobsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest,
+                          com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ListBatchPredictionJobs"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("ListBatchPredictionJobs"))
+                      .build();
+        }
+      }
+    }
+    return getListBatchPredictionJobsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest,
+          com.google.longrunning.Operation>
+      getDeleteBatchPredictionJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteBatchPredictionJob",
+      requestType = com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest,
+          com.google.longrunning.Operation>
+      getDeleteBatchPredictionJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest,
+            com.google.longrunning.Operation>
+        getDeleteBatchPredictionJobMethod;
+    if ((getDeleteBatchPredictionJobMethod = JobServiceGrpc.getDeleteBatchPredictionJobMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getDeleteBatchPredictionJobMethod = JobServiceGrpc.getDeleteBatchPredictionJobMethod)
+            == null) {
+          JobServiceGrpc.getDeleteBatchPredictionJobMethod =
+              getDeleteBatchPredictionJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "DeleteBatchPredictionJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("DeleteBatchPredictionJob"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteBatchPredictionJobMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest, com.google.protobuf.Empty>
+      getCancelBatchPredictionJobMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CancelBatchPredictionJob",
+      requestType = com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.class,
+      responseType = com.google.protobuf.Empty.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest, com.google.protobuf.Empty>
+      getCancelBatchPredictionJobMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest,
+            com.google.protobuf.Empty>
+        getCancelBatchPredictionJobMethod;
+    if ((getCancelBatchPredictionJobMethod = JobServiceGrpc.getCancelBatchPredictionJobMethod)
+        == null) {
+      synchronized (JobServiceGrpc.class) {
+        if ((getCancelBatchPredictionJobMethod = JobServiceGrpc.getCancelBatchPredictionJobMethod)
+            == null) {
+          JobServiceGrpc.getCancelBatchPredictionJobMethod =
+              getCancelBatchPredictionJobMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest,
+                          com.google.protobuf.Empty>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CancelBatchPredictionJob"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.protobuf.Empty.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new JobServiceMethodDescriptorSupplier("CancelBatchPredictionJob"))
+                      .build();
+        }
+      }
+    }
+    return getCancelBatchPredictionJobMethod;
+  }
+
+  /** Creates a new async stub that supports all call types for the service */
+  public static JobServiceStub newStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<JobServiceStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<JobServiceStub>() {
+          @java.lang.Override
+          public JobServiceStub newStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new JobServiceStub(channel, callOptions);
+          }
+        };
+    return JobServiceStub.newStub(factory, channel);
+  }
+
+  /**
+   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
+   */
+  public static JobServiceBlockingStub newBlockingStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<JobServiceBlockingStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<JobServiceBlockingStub>() {
+          @java.lang.Override
+          public JobServiceBlockingStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new JobServiceBlockingStub(channel, callOptions);
+          }
+        };
+    return JobServiceBlockingStub.newStub(factory, channel);
+  }
+
+  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
+  public static JobServiceFutureStub newFutureStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<JobServiceFutureStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<JobServiceFutureStub>() {
+          @java.lang.Override
+          public JobServiceFutureStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new JobServiceFutureStub(channel, callOptions);
+          }
+        };
+    return JobServiceFutureStub.newStub(factory, channel);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing AI Platform's jobs.
+   * </pre>
+   */
+  public abstract static class JobServiceImplBase implements io.grpc.BindableService {
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a CustomJob. A created CustomJob right away
+     * will be attempted to be run.
+     * </pre>
+     */
+    public void createCustomJob(
+        com.google.cloud.aiplatform.v1.CreateCustomJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.CustomJob> responseObserver) {
+      asyncUnimplementedUnaryCall(getCreateCustomJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a CustomJob.
+     * </pre>
+     */
+    public void getCustomJob(
+        com.google.cloud.aiplatform.v1.GetCustomJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.CustomJob> responseObserver) {
+      asyncUnimplementedUnaryCall(getGetCustomJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists CustomJobs in a Location.
+     * </pre>
+     */
+    public void listCustomJobs(
+        com.google.cloud.aiplatform.v1.ListCustomJobsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListCustomJobsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListCustomJobsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a CustomJob.
+     * </pre>
+     */
+    public void deleteCustomJob(
+        com.google.cloud.aiplatform.v1.DeleteCustomJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteCustomJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a CustomJob.
+     * Starts asynchronous cancellation on the CustomJob. The server
+     * makes a best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On successful cancellation,
+     * the CustomJob is not deleted; instead it becomes a job with
+     * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
+     * `CANCELLED`.
+     * </pre>
+     */
+    public void cancelCustomJob(
+        com.google.cloud.aiplatform.v1.CancelCustomJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnimplementedUnaryCall(getCancelCustomJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a DataLabelingJob.
+     * </pre>
+     */
+    public void createDataLabelingJob(
+        com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.DataLabelingJob>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getCreateDataLabelingJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a DataLabelingJob.
+     * </pre>
+     */
+    public void getDataLabelingJob(
+        com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.DataLabelingJob>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getGetDataLabelingJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists DataLabelingJobs in a Location.
+     * </pre>
+     */
+    public void listDataLabelingJobs(
+        com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListDataLabelingJobsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a DataLabelingJob.
+     * </pre>
+     */
+    public void deleteDataLabelingJob(
+        com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteDataLabelingJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+     * </pre>
+     */
+    public void cancelDataLabelingJob(
+        com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnimplementedUnaryCall(getCancelDataLabelingJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a HyperparameterTuningJob
+     * </pre>
+     */
+    public void createHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getCreateHyperparameterTuningJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a HyperparameterTuningJob
+     * </pre>
+     */
+    public void getHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getGetHyperparameterTuningJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists HyperparameterTuningJobs in a Location.
+     * </pre>
+     */
+    public void listHyperparameterTuningJobs(
+        com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest request,
+        io.grpc.stub.StreamObserver<
+                com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListHyperparameterTuningJobsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a HyperparameterTuningJob.
+     * </pre>
+     */
+    public void deleteHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteHyperparameterTuningJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a HyperparameterTuningJob.
+     * Starts asynchronous cancellation on the HyperparameterTuningJob. The server
+     * makes a best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On successful cancellation,
+     * the HyperparameterTuningJob is not deleted; instead it becomes a job with
+     * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
+     * of 1, corresponding to `Code.CANCELLED`, and
+     * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
+     * </pre>
+     */
+    public void cancelHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnimplementedUnaryCall(getCancelHyperparameterTuningJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a BatchPredictionJob. A BatchPredictionJob once created will
+     * right away be attempted to start.
+     * </pre>
+     */
+    public void createBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.BatchPredictionJob>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getCreateBatchPredictionJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a BatchPredictionJob
+     * </pre>
+     */
+    public void getBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.BatchPredictionJob>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getGetBatchPredictionJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists BatchPredictionJobs in a Location.
+     * </pre>
+     */
+    public void listBatchPredictionJobs(
+        com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListBatchPredictionJobsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a BatchPredictionJob. Can only be called on jobs that already
+     * finished.
+     * </pre>
+     */
+    public void deleteBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteBatchPredictionJobMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a BatchPredictionJob.
+     * Starts asynchronous cancellation on the BatchPredictionJob. The server
+     * makes the best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On a successful cancellation,
+     * the BatchPredictionJob is not deleted;instead its
+     * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
+     * outputted by the job are not deleted.
+     * </pre>
+     */
+    public void cancelBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnimplementedUnaryCall(getCancelBatchPredictionJobMethod(), responseObserver);
+    }
+
+    @java.lang.Override
+    public final io.grpc.ServerServiceDefinition bindService() {
+      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
+          .addMethod(
+              getCreateCustomJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CreateCustomJobRequest,
+                      com.google.cloud.aiplatform.v1.CustomJob>(this, METHODID_CREATE_CUSTOM_JOB)))
+          .addMethod(
+              getGetCustomJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetCustomJobRequest,
+                      com.google.cloud.aiplatform.v1.CustomJob>(this, METHODID_GET_CUSTOM_JOB)))
+          .addMethod(
+              getListCustomJobsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListCustomJobsRequest,
+                      com.google.cloud.aiplatform.v1.ListCustomJobsResponse>(
+                      this, METHODID_LIST_CUSTOM_JOBS)))
+          .addMethod(
+              getDeleteCustomJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteCustomJobRequest,
+                      com.google.longrunning.Operation>(this, METHODID_DELETE_CUSTOM_JOB)))
+          .addMethod(
+              getCancelCustomJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CancelCustomJobRequest,
+                      com.google.protobuf.Empty>(this, METHODID_CANCEL_CUSTOM_JOB)))
+          .addMethod(
+              getCreateDataLabelingJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest,
+                      com.google.cloud.aiplatform.v1.DataLabelingJob>(
+                      this, METHODID_CREATE_DATA_LABELING_JOB)))
+          .addMethod(
+              getGetDataLabelingJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest,
+                      com.google.cloud.aiplatform.v1.DataLabelingJob>(
+                      this, METHODID_GET_DATA_LABELING_JOB)))
+          .addMethod(
+              getListDataLabelingJobsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest,
+                      com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>(
+                      this, METHODID_LIST_DATA_LABELING_JOBS)))
+          .addMethod(
+              getDeleteDataLabelingJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest,
+                      com.google.longrunning.Operation>(this, METHODID_DELETE_DATA_LABELING_JOB)))
+          .addMethod(
+              getCancelDataLabelingJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest,
+                      com.google.protobuf.Empty>(this, METHODID_CANCEL_DATA_LABELING_JOB)))
+          .addMethod(
+              getCreateHyperparameterTuningJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest,
+                      com.google.cloud.aiplatform.v1.HyperparameterTuningJob>(
+                      this, METHODID_CREATE_HYPERPARAMETER_TUNING_JOB)))
+          .addMethod(
+              getGetHyperparameterTuningJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest,
+                      com.google.cloud.aiplatform.v1.HyperparameterTuningJob>(
+                      this, METHODID_GET_HYPERPARAMETER_TUNING_JOB)))
+          .addMethod(
+              getListHyperparameterTuningJobsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest,
+                      com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>(
+                      this, METHODID_LIST_HYPERPARAMETER_TUNING_JOBS)))
+          .addMethod(
+              getDeleteHyperparameterTuningJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest,
+                      com.google.longrunning.Operation>(
+                      this, METHODID_DELETE_HYPERPARAMETER_TUNING_JOB)))
+          .addMethod(
+              getCancelHyperparameterTuningJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest,
+                      com.google.protobuf.Empty>(this, METHODID_CANCEL_HYPERPARAMETER_TUNING_JOB)))
+          .addMethod(
+              getCreateBatchPredictionJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest,
+                      com.google.cloud.aiplatform.v1.BatchPredictionJob>(
+                      this, METHODID_CREATE_BATCH_PREDICTION_JOB)))
+          .addMethod(
+              getGetBatchPredictionJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest,
+                      com.google.cloud.aiplatform.v1.BatchPredictionJob>(
+                      this, METHODID_GET_BATCH_PREDICTION_JOB)))
+          .addMethod(
+              getListBatchPredictionJobsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest,
+                      com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>(
+                      this, METHODID_LIST_BATCH_PREDICTION_JOBS)))
+          .addMethod(
+              getDeleteBatchPredictionJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest,
+                      com.google.longrunning.Operation>(
+                      this, METHODID_DELETE_BATCH_PREDICTION_JOB)))
+          .addMethod(
+              getCancelBatchPredictionJobMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest,
+                      com.google.protobuf.Empty>(this, METHODID_CANCEL_BATCH_PREDICTION_JOB)))
+          .build();
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing AI Platform's jobs.
+   * </pre>
+   */
+  public static final class JobServiceStub extends io.grpc.stub.AbstractAsyncStub<JobServiceStub> {
+    private JobServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected JobServiceStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new JobServiceStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a CustomJob. A created CustomJob right away
+     * will be attempted to be run.
+     * </pre>
+     */
+    public void createCustomJob(
+        com.google.cloud.aiplatform.v1.CreateCustomJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.CustomJob> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCreateCustomJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a CustomJob.
+     * </pre>
+     */
+    public void getCustomJob(
+        com.google.cloud.aiplatform.v1.GetCustomJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.CustomJob> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetCustomJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists CustomJobs in a Location.
+     * </pre>
+     */
+    public void listCustomJobs(
+        com.google.cloud.aiplatform.v1.ListCustomJobsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListCustomJobsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListCustomJobsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a CustomJob.
+     * </pre>
+     */
+    public void deleteCustomJob(
+        com.google.cloud.aiplatform.v1.DeleteCustomJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteCustomJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a CustomJob.
+     * Starts asynchronous cancellation on the CustomJob. The server
+     * makes a best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On successful cancellation,
+     * the CustomJob is not deleted; instead it becomes a job with
+     * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
+     * `CANCELLED`.
+     * </pre>
+     */
+    public void cancelCustomJob(
+        com.google.cloud.aiplatform.v1.CancelCustomJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCancelCustomJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a DataLabelingJob.
+     * </pre>
+     */
+    public void createDataLabelingJob(
+        com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.DataLabelingJob>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCreateDataLabelingJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a DataLabelingJob.
+     * </pre>
+     */
+    public void getDataLabelingJob(
+        com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.DataLabelingJob>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetDataLabelingJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists DataLabelingJobs in a Location.
+     * </pre>
+     */
+    public void listDataLabelingJobs(
+        com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListDataLabelingJobsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a DataLabelingJob.
+     * </pre>
+     */
+    public void deleteDataLabelingJob(
+        com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteDataLabelingJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+     * </pre>
+     */
+    public void cancelDataLabelingJob(
+        com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCancelDataLabelingJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a HyperparameterTuningJob
+     * </pre>
+     */
+    public void createHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCreateHyperparameterTuningJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a HyperparameterTuningJob
+     * </pre>
+     */
+    public void getHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetHyperparameterTuningJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists HyperparameterTuningJobs in a Location.
+     * </pre>
+     */
+    public void listHyperparameterTuningJobs(
+        com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest request,
+        io.grpc.stub.StreamObserver<
+                com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListHyperparameterTuningJobsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a HyperparameterTuningJob.
+     * </pre>
+     */
+    public void deleteHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteHyperparameterTuningJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a HyperparameterTuningJob.
+     * Starts asynchronous cancellation on the HyperparameterTuningJob. The server
+     * makes a best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On successful cancellation,
+     * the HyperparameterTuningJob is not deleted; instead it becomes a job with
+     * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
+     * of 1, corresponding to `Code.CANCELLED`, and
+     * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
+     * </pre>
+     */
+    public void cancelHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCancelHyperparameterTuningJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a BatchPredictionJob. A BatchPredictionJob once created will
+     * right away be attempted to start.
+     * </pre>
+     */
+    public void createBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.BatchPredictionJob>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCreateBatchPredictionJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a BatchPredictionJob
+     * </pre>
+     */
+    public void getBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.BatchPredictionJob>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetBatchPredictionJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists BatchPredictionJobs in a Location.
+     * </pre>
+     */
+    public void listBatchPredictionJobs(
+        com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListBatchPredictionJobsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a BatchPredictionJob. Can only be called on jobs that already
+     * finished.
+     * </pre>
+     */
+    public void deleteBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteBatchPredictionJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a BatchPredictionJob.
+     * Starts asynchronous cancellation on the BatchPredictionJob. The server
+     * makes the best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On a successful cancellation,
+     * the BatchPredictionJob is not deleted;instead its
+     * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
+     * outputted by the job are not deleted.
+     * </pre>
+     */
+    public void cancelBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCancelBatchPredictionJobMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing AI Platform's jobs.
+   * </pre>
+   */
+  public static final class JobServiceBlockingStub
+      extends io.grpc.stub.AbstractBlockingStub<JobServiceBlockingStub> {
+    private JobServiceBlockingStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected JobServiceBlockingStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new JobServiceBlockingStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a CustomJob. A created CustomJob right away
+     * will be attempted to be run.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJob createCustomJob(
+        com.google.cloud.aiplatform.v1.CreateCustomJobRequest request) {
+      return blockingUnaryCall(getChannel(), getCreateCustomJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a CustomJob.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJob getCustomJob(
+        com.google.cloud.aiplatform.v1.GetCustomJobRequest request) {
+      return blockingUnaryCall(getChannel(), getGetCustomJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists CustomJobs in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListCustomJobsResponse listCustomJobs(
+        com.google.cloud.aiplatform.v1.ListCustomJobsRequest request) {
+      return blockingUnaryCall(getChannel(), getListCustomJobsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a CustomJob.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteCustomJob(
+        com.google.cloud.aiplatform.v1.DeleteCustomJobRequest request) {
+      return blockingUnaryCall(getChannel(), getDeleteCustomJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a CustomJob.
+     * Starts asynchronous cancellation on the CustomJob. The server
+     * makes a best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On successful cancellation,
+     * the CustomJob is not deleted; instead it becomes a job with
+     * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
+     * `CANCELLED`.
+     * </pre>
+     */
+    public com.google.protobuf.Empty cancelCustomJob(
+        com.google.cloud.aiplatform.v1.CancelCustomJobRequest request) {
+      return blockingUnaryCall(getChannel(), getCancelCustomJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a DataLabelingJob.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJob createDataLabelingJob(
+        com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCreateDataLabelingJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a DataLabelingJob.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJob getDataLabelingJob(
+        com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getGetDataLabelingJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists DataLabelingJobs in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse listDataLabelingJobs(
+        com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getListDataLabelingJobsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a DataLabelingJob.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteDataLabelingJob(
+        com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getDeleteDataLabelingJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+     * </pre>
+     */
+    public com.google.protobuf.Empty cancelDataLabelingJob(
+        com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCancelDataLabelingJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a HyperparameterTuningJob
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob createHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCreateHyperparameterTuningJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a HyperparameterTuningJob
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getGetHyperparameterTuningJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists HyperparameterTuningJobs in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+        listHyperparameterTuningJobs(
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getListHyperparameterTuningJobsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a HyperparameterTuningJob.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getDeleteHyperparameterTuningJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a HyperparameterTuningJob.
+     * Starts asynchronous cancellation on the HyperparameterTuningJob. The server
+     * makes a best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On successful cancellation,
+     * the HyperparameterTuningJob is not deleted; instead it becomes a job with
+     * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
+     * of 1, corresponding to `Code.CANCELLED`, and
+     * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
+     * </pre>
+     */
+    public com.google.protobuf.Empty cancelHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCancelHyperparameterTuningJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a BatchPredictionJob. A BatchPredictionJob once created will
+     * right away be attempted to start.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob createBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCreateBatchPredictionJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a BatchPredictionJob
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob getBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getGetBatchPredictionJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists BatchPredictionJobs in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse listBatchPredictionJobs(
+        com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getListBatchPredictionJobsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a BatchPredictionJob. Can only be called on jobs that already
+     * finished.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getDeleteBatchPredictionJobMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a BatchPredictionJob.
+     * Starts asynchronous cancellation on the BatchPredictionJob. The server
+     * makes the best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On a successful cancellation,
+     * the BatchPredictionJob is not deleted;instead its
+     * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
+     * outputted by the job are not deleted.
+     * </pre>
+     */
+    public com.google.protobuf.Empty cancelBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCancelBatchPredictionJobMethod(), getCallOptions(), request);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing AI Platform's jobs.
+   * </pre>
+   */
+  public static final class JobServiceFutureStub
+      extends io.grpc.stub.AbstractFutureStub<JobServiceFutureStub> {
+    private JobServiceFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected JobServiceFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new JobServiceFutureStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a CustomJob. A created CustomJob right away
+     * will be attempted to be run.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.CustomJob>
+        createCustomJob(com.google.cloud.aiplatform.v1.CreateCustomJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCreateCustomJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a CustomJob.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.CustomJob>
+        getCustomJob(com.google.cloud.aiplatform.v1.GetCustomJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetCustomJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists CustomJobs in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListCustomJobsResponse>
+        listCustomJobs(com.google.cloud.aiplatform.v1.ListCustomJobsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListCustomJobsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a CustomJob.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteCustomJob(com.google.cloud.aiplatform.v1.DeleteCustomJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteCustomJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a CustomJob.
+     * Starts asynchronous cancellation on the CustomJob. The server
+     * makes a best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On successful cancellation,
+     * the CustomJob is not deleted; instead it becomes a job with
+     * a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
+     * `CANCELLED`.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.protobuf.Empty>
+        cancelCustomJob(com.google.cloud.aiplatform.v1.CancelCustomJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCancelCustomJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a DataLabelingJob.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.DataLabelingJob>
+        createDataLabelingJob(com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCreateDataLabelingJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a DataLabelingJob.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.DataLabelingJob>
+        getDataLabelingJob(com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetDataLabelingJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists DataLabelingJobs in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>
+        listDataLabelingJobs(com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListDataLabelingJobsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a DataLabelingJob.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteDataLabelingJob(com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteDataLabelingJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.protobuf.Empty>
+        cancelDataLabelingJob(com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCancelDataLabelingJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a HyperparameterTuningJob
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+        createHyperparameterTuningJob(
+            com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCreateHyperparameterTuningJobMethod(), getCallOptions()),
+          request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a HyperparameterTuningJob
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+        getHyperparameterTuningJob(
+            com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetHyperparameterTuningJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists HyperparameterTuningJobs in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>
+        listHyperparameterTuningJobs(
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListHyperparameterTuningJobsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a HyperparameterTuningJob.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteHyperparameterTuningJob(
+            com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteHyperparameterTuningJobMethod(), getCallOptions()),
+          request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a HyperparameterTuningJob.
+     * Starts asynchronous cancellation on the HyperparameterTuningJob. The server
+     * makes a best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On successful cancellation,
+     * the HyperparameterTuningJob is not deleted; instead it becomes a job with
+     * a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
+     * of 1, corresponding to `Code.CANCELLED`, and
+     * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.protobuf.Empty>
+        cancelHyperparameterTuningJob(
+            com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCancelHyperparameterTuningJobMethod(), getCallOptions()),
+          request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a BatchPredictionJob. A BatchPredictionJob once created will
+     * right away be attempted to start.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob>
+        createBatchPredictionJob(
+            com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCreateBatchPredictionJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a BatchPredictionJob
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob>
+        getBatchPredictionJob(com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetBatchPredictionJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists BatchPredictionJobs in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>
+        listBatchPredictionJobs(
+            com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListBatchPredictionJobsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a BatchPredictionJob. Can only be called on jobs that already
+     * finished.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteBatchPredictionJob(
+            com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteBatchPredictionJobMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a BatchPredictionJob.
+     * Starts asynchronous cancellation on the BatchPredictionJob. The server
+     * makes the best effort to cancel the job, but success is not
+     * guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * job completed despite cancellation. On a successful cancellation,
+     * the BatchPredictionJob is not deleted;instead its
+     * [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
+     * outputted by the job are not deleted.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.protobuf.Empty>
+        cancelBatchPredictionJob(
+            com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCancelBatchPredictionJobMethod(), getCallOptions()), request);
+    }
+  }
+
+  private static final int METHODID_CREATE_CUSTOM_JOB = 0;
+  private static final int METHODID_GET_CUSTOM_JOB = 1;
+  private static final int METHODID_LIST_CUSTOM_JOBS = 2;
+  private static final int METHODID_DELETE_CUSTOM_JOB = 3;
+  private static final int METHODID_CANCEL_CUSTOM_JOB = 4;
+  private static final int METHODID_CREATE_DATA_LABELING_JOB = 5;
+  private static final int METHODID_GET_DATA_LABELING_JOB = 6;
+  private static final int METHODID_LIST_DATA_LABELING_JOBS = 7;
+  private static final int METHODID_DELETE_DATA_LABELING_JOB = 8;
+  private static final int METHODID_CANCEL_DATA_LABELING_JOB = 9;
+  private static final int METHODID_CREATE_HYPERPARAMETER_TUNING_JOB = 10;
+  private static final int METHODID_GET_HYPERPARAMETER_TUNING_JOB = 11;
+  private static final int METHODID_LIST_HYPERPARAMETER_TUNING_JOBS = 12;
+  private static final int METHODID_DELETE_HYPERPARAMETER_TUNING_JOB = 13;
+  private static final int METHODID_CANCEL_HYPERPARAMETER_TUNING_JOB = 14;
+  private static final int METHODID_CREATE_BATCH_PREDICTION_JOB = 15;
+  private static final int METHODID_GET_BATCH_PREDICTION_JOB = 16;
+  private static final int METHODID_LIST_BATCH_PREDICTION_JOBS = 17;
+  private static final int METHODID_DELETE_BATCH_PREDICTION_JOB = 18;
+  private static final int METHODID_CANCEL_BATCH_PREDICTION_JOB = 19;
+
+  private static final class MethodHandlers<Req, Resp>
+      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
+    private final JobServiceImplBase serviceImpl;
+    private final int methodId;
+
+    MethodHandlers(JobServiceImplBase serviceImpl, int methodId) {
+      this.serviceImpl = serviceImpl;
+      this.methodId = methodId;
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        case METHODID_CREATE_CUSTOM_JOB:
+          serviceImpl.createCustomJob(
+              (com.google.cloud.aiplatform.v1.CreateCustomJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.CustomJob>)
+                  responseObserver);
+          break;
+        case METHODID_GET_CUSTOM_JOB:
+          serviceImpl.getCustomJob(
+              (com.google.cloud.aiplatform.v1.GetCustomJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.CustomJob>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_CUSTOM_JOBS:
+          serviceImpl.listCustomJobs(
+              (com.google.cloud.aiplatform.v1.ListCustomJobsRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListCustomJobsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_DELETE_CUSTOM_JOB:
+          serviceImpl.deleteCustomJob(
+              (com.google.cloud.aiplatform.v1.DeleteCustomJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_CANCEL_CUSTOM_JOB:
+          serviceImpl.cancelCustomJob(
+              (com.google.cloud.aiplatform.v1.CancelCustomJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.protobuf.Empty>) responseObserver);
+          break;
+        case METHODID_CREATE_DATA_LABELING_JOB:
+          serviceImpl.createDataLabelingJob(
+              (com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.DataLabelingJob>)
+                  responseObserver);
+          break;
+        case METHODID_GET_DATA_LABELING_JOB:
+          serviceImpl.getDataLabelingJob(
+              (com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.DataLabelingJob>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_DATA_LABELING_JOBS:
+          serviceImpl.listDataLabelingJobs(
+              (com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_DELETE_DATA_LABELING_JOB:
+          serviceImpl.deleteDataLabelingJob(
+              (com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_CANCEL_DATA_LABELING_JOB:
+          serviceImpl.cancelDataLabelingJob(
+              (com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.protobuf.Empty>) responseObserver);
+          break;
+        case METHODID_CREATE_HYPERPARAMETER_TUNING_JOB:
+          serviceImpl.createHyperparameterTuningJob(
+              (com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>)
+                  responseObserver);
+          break;
+        case METHODID_GET_HYPERPARAMETER_TUNING_JOB:
+          serviceImpl.getHyperparameterTuningJob(
+              (com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_HYPERPARAMETER_TUNING_JOBS:
+          serviceImpl.listHyperparameterTuningJobs(
+              (com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_DELETE_HYPERPARAMETER_TUNING_JOB:
+          serviceImpl.deleteHyperparameterTuningJob(
+              (com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_CANCEL_HYPERPARAMETER_TUNING_JOB:
+          serviceImpl.cancelHyperparameterTuningJob(
+              (com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.protobuf.Empty>) responseObserver);
+          break;
+        case METHODID_CREATE_BATCH_PREDICTION_JOB:
+          serviceImpl.createBatchPredictionJob(
+              (com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.BatchPredictionJob>)
+                  responseObserver);
+          break;
+        case METHODID_GET_BATCH_PREDICTION_JOB:
+          serviceImpl.getBatchPredictionJob(
+              (com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.BatchPredictionJob>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_BATCH_PREDICTION_JOBS:
+          serviceImpl.listBatchPredictionJobs(
+              (com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_DELETE_BATCH_PREDICTION_JOB:
+          serviceImpl.deleteBatchPredictionJob(
+              (com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_CANCEL_BATCH_PREDICTION_JOB:
+          serviceImpl.cancelBatchPredictionJob(
+              (com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.protobuf.Empty>) responseObserver);
+          break;
+        default:
+          throw new AssertionError();
+      }
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public io.grpc.stub.StreamObserver<Req> invoke(
+        io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        default:
+          throw new AssertionError();
+      }
+    }
+  }
+
+  private abstract static class JobServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
+          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
+    JobServiceBaseDescriptorSupplier() {}
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto.getDescriptor();
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
+      return getFileDescriptor().findServiceByName("JobService");
+    }
+  }
+
+  private static final class JobServiceFileDescriptorSupplier
+      extends JobServiceBaseDescriptorSupplier {
+    JobServiceFileDescriptorSupplier() {}
+  }
+
+  private static final class JobServiceMethodDescriptorSupplier
+      extends JobServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
+    private final String methodName;
+
+    JobServiceMethodDescriptorSupplier(String methodName) {
+      this.methodName = methodName;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
+      return getServiceDescriptor().findMethodByName(methodName);
+    }
+  }
+
+  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
+
+  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
+    io.grpc.ServiceDescriptor result = serviceDescriptor;
+    if (result == null) {
+      synchronized (JobServiceGrpc.class) {
+        result = serviceDescriptor;
+        if (result == null) {
+          serviceDescriptor =
+              result =
+                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
+                      .setSchemaDescriptor(new JobServiceFileDescriptorSupplier())
+                      .addMethod(getCreateCustomJobMethod())
+                      .addMethod(getGetCustomJobMethod())
+                      .addMethod(getListCustomJobsMethod())
+                      .addMethod(getDeleteCustomJobMethod())
+                      .addMethod(getCancelCustomJobMethod())
+                      .addMethod(getCreateDataLabelingJobMethod())
+                      .addMethod(getGetDataLabelingJobMethod())
+                      .addMethod(getListDataLabelingJobsMethod())
+                      .addMethod(getDeleteDataLabelingJobMethod())
+                      .addMethod(getCancelDataLabelingJobMethod())
+                      .addMethod(getCreateHyperparameterTuningJobMethod())
+                      .addMethod(getGetHyperparameterTuningJobMethod())
+                      .addMethod(getListHyperparameterTuningJobsMethod())
+                      .addMethod(getDeleteHyperparameterTuningJobMethod())
+                      .addMethod(getCancelHyperparameterTuningJobMethod())
+                      .addMethod(getCreateBatchPredictionJobMethod())
+                      .addMethod(getGetBatchPredictionJobMethod())
+                      .addMethod(getListBatchPredictionJobsMethod())
+                      .addMethod(getDeleteBatchPredictionJobMethod())
+                      .addMethod(getCancelBatchPredictionJobMethod())
+                      .build();
+        }
+      }
+    }
+    return result;
+  }
+}
diff --git a/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceGrpc.java b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceGrpc.java
new file mode 100644
index 000000000..84a8b6a8e
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceGrpc.java
@@ -0,0 +1,510 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.google.cloud.aiplatform.v1;
+
+import static io.grpc.MethodDescriptor.generateFullMethodName;
+import static io.grpc.stub.ClientCalls.asyncUnaryCall;
+import static io.grpc.stub.ClientCalls.blockingUnaryCall;
+import static io.grpc.stub.ClientCalls.futureUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
+
+/**
+ *
+ *
+ * <pre>
+ * A service that migrates resources from automl.googleapis.com,
+ * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+ * </pre>
+ */
+@javax.annotation.Generated(
+    value = "by gRPC proto compiler",
+    comments = "Source: google/cloud/aiplatform/v1/migration_service.proto")
+public final class MigrationServiceGrpc {
+
+  private MigrationServiceGrpc() {}
+
+  public static final String SERVICE_NAME = "google.cloud.aiplatform.v1.MigrationService";
+
+  // Static method descriptors that strictly reflect the proto.
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest,
+          com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>
+      getSearchMigratableResourcesMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "SearchMigratableResources",
+      requestType = com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest,
+          com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>
+      getSearchMigratableResourcesMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest,
+            com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>
+        getSearchMigratableResourcesMethod;
+    if ((getSearchMigratableResourcesMethod =
+            MigrationServiceGrpc.getSearchMigratableResourcesMethod)
+        == null) {
+      synchronized (MigrationServiceGrpc.class) {
+        if ((getSearchMigratableResourcesMethod =
+                MigrationServiceGrpc.getSearchMigratableResourcesMethod)
+            == null) {
+          MigrationServiceGrpc.getSearchMigratableResourcesMethod =
+              getSearchMigratableResourcesMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest,
+                          com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "SearchMigratableResources"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new MigrationServiceMethodDescriptorSupplier("SearchMigratableResources"))
+                      .build();
+        }
+      }
+    }
+    return getSearchMigratableResourcesMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest,
+          com.google.longrunning.Operation>
+      getBatchMigrateResourcesMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "BatchMigrateResources",
+      requestType = com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest,
+          com.google.longrunning.Operation>
+      getBatchMigrateResourcesMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest,
+            com.google.longrunning.Operation>
+        getBatchMigrateResourcesMethod;
+    if ((getBatchMigrateResourcesMethod = MigrationServiceGrpc.getBatchMigrateResourcesMethod)
+        == null) {
+      synchronized (MigrationServiceGrpc.class) {
+        if ((getBatchMigrateResourcesMethod = MigrationServiceGrpc.getBatchMigrateResourcesMethod)
+            == null) {
+          MigrationServiceGrpc.getBatchMigrateResourcesMethod =
+              getBatchMigrateResourcesMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "BatchMigrateResources"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new MigrationServiceMethodDescriptorSupplier("BatchMigrateResources"))
+                      .build();
+        }
+      }
+    }
+    return getBatchMigrateResourcesMethod;
+  }
+
+  /** Creates a new async stub that supports all call types for the service */
+  public static MigrationServiceStub newStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<MigrationServiceStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<MigrationServiceStub>() {
+          @java.lang.Override
+          public MigrationServiceStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new MigrationServiceStub(channel, callOptions);
+          }
+        };
+    return MigrationServiceStub.newStub(factory, channel);
+  }
+
+  /**
+   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
+   */
+  public static MigrationServiceBlockingStub newBlockingStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<MigrationServiceBlockingStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<MigrationServiceBlockingStub>() {
+          @java.lang.Override
+          public MigrationServiceBlockingStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new MigrationServiceBlockingStub(channel, callOptions);
+          }
+        };
+    return MigrationServiceBlockingStub.newStub(factory, channel);
+  }
+
+  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
+  public static MigrationServiceFutureStub newFutureStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<MigrationServiceFutureStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<MigrationServiceFutureStub>() {
+          @java.lang.Override
+          public MigrationServiceFutureStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new MigrationServiceFutureStub(channel, callOptions);
+          }
+        };
+    return MigrationServiceFutureStub.newStub(factory, channel);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service that migrates resources from automl.googleapis.com,
+   * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+   * </pre>
+   */
+  public abstract static class MigrationServiceImplBase implements io.grpc.BindableService {
+
+    /**
+     *
+     *
+     * <pre>
+     * Searches all of the resources in automl.googleapis.com,
+     * datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
+     * AI Platform's given location.
+     * </pre>
+     */
+    public void searchMigratableResources(
+        com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest request,
+        io.grpc.stub.StreamObserver<
+                com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getSearchMigratableResourcesMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
+     * and datalabeling.googleapis.com to AI Platform (Unified).
+     * </pre>
+     */
+    public void batchMigrateResources(
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getBatchMigrateResourcesMethod(), responseObserver);
+    }
+
+    @java.lang.Override
+    public final io.grpc.ServerServiceDefinition bindService() {
+      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
+          .addMethod(
+              getSearchMigratableResourcesMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest,
+                      com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>(
+                      this, METHODID_SEARCH_MIGRATABLE_RESOURCES)))
+          .addMethod(
+              getBatchMigrateResourcesMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest,
+                      com.google.longrunning.Operation>(this, METHODID_BATCH_MIGRATE_RESOURCES)))
+          .build();
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service that migrates resources from automl.googleapis.com,
+   * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+   * </pre>
+   */
+  public static final class MigrationServiceStub
+      extends io.grpc.stub.AbstractAsyncStub<MigrationServiceStub> {
+    private MigrationServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected MigrationServiceStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new MigrationServiceStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Searches all of the resources in automl.googleapis.com,
+     * datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
+     * AI Platform's given location.
+     * </pre>
+     */
+    public void searchMigratableResources(
+        com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest request,
+        io.grpc.stub.StreamObserver<
+                com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getSearchMigratableResourcesMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
+     * and datalabeling.googleapis.com to AI Platform (Unified).
+     * </pre>
+     */
+    public void batchMigrateResources(
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getBatchMigrateResourcesMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service that migrates resources from automl.googleapis.com,
+   * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+   * </pre>
+   */
+  public static final class MigrationServiceBlockingStub
+      extends io.grpc.stub.AbstractBlockingStub<MigrationServiceBlockingStub> {
+    private MigrationServiceBlockingStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected MigrationServiceBlockingStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new MigrationServiceBlockingStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Searches all of the resources in automl.googleapis.com,
+     * datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
+     * AI Platform's given location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse
+        searchMigratableResources(
+            com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getSearchMigratableResourcesMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
+     * and datalabeling.googleapis.com to AI Platform (Unified).
+     * </pre>
+     */
+    public com.google.longrunning.Operation batchMigrateResources(
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getBatchMigrateResourcesMethod(), getCallOptions(), request);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service that migrates resources from automl.googleapis.com,
+   * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+   * </pre>
+   */
+  public static final class MigrationServiceFutureStub
+      extends io.grpc.stub.AbstractFutureStub<MigrationServiceFutureStub> {
+    private MigrationServiceFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected MigrationServiceFutureStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new MigrationServiceFutureStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Searches all of the resources in automl.googleapis.com,
+     * datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
+     * AI Platform's given location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>
+        searchMigratableResources(
+            com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getSearchMigratableResourcesMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
+     * and datalabeling.googleapis.com to AI Platform (Unified).
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        batchMigrateResources(com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getBatchMigrateResourcesMethod(), getCallOptions()), request);
+    }
+  }
+
+  private static final int METHODID_SEARCH_MIGRATABLE_RESOURCES = 0;
+  private static final int METHODID_BATCH_MIGRATE_RESOURCES = 1;
+
+  private static final class MethodHandlers<Req, Resp>
+      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
+    private final MigrationServiceImplBase serviceImpl;
+    private final int methodId;
+
+    MethodHandlers(MigrationServiceImplBase serviceImpl, int methodId) {
+      this.serviceImpl = serviceImpl;
+      this.methodId = methodId;
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        case METHODID_SEARCH_MIGRATABLE_RESOURCES:
+          serviceImpl.searchMigratableResources(
+              (com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse>)
+                  responseObserver);
+          break;
+        case METHODID_BATCH_MIGRATE_RESOURCES:
+          serviceImpl.batchMigrateResources(
+              (com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        default:
+          throw new AssertionError();
+      }
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public io.grpc.stub.StreamObserver<Req> invoke(
+        io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        default:
+          throw new AssertionError();
+      }
+    }
+  }
+
+  private abstract static class MigrationServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
+          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
+    MigrationServiceBaseDescriptorSupplier() {}
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto.getDescriptor();
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
+      return getFileDescriptor().findServiceByName("MigrationService");
+    }
+  }
+
+  private static final class MigrationServiceFileDescriptorSupplier
+      extends MigrationServiceBaseDescriptorSupplier {
+    MigrationServiceFileDescriptorSupplier() {}
+  }
+
+  private static final class MigrationServiceMethodDescriptorSupplier
+      extends MigrationServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
+    private final String methodName;
+
+    MigrationServiceMethodDescriptorSupplier(String methodName) {
+      this.methodName = methodName;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
+      return getServiceDescriptor().findMethodByName(methodName);
+    }
+  }
+
+  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
+
+  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
+    io.grpc.ServiceDescriptor result = serviceDescriptor;
+    if (result == null) {
+      synchronized (MigrationServiceGrpc.class) {
+        result = serviceDescriptor;
+        if (result == null) {
+          serviceDescriptor =
+              result =
+                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
+                      .setSchemaDescriptor(new MigrationServiceFileDescriptorSupplier())
+                      .addMethod(getSearchMigratableResourcesMethod())
+                      .addMethod(getBatchMigrateResourcesMethod())
+                      .build();
+        }
+      }
+    }
+    return result;
+  }
+}
diff --git a/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceGrpc.java b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceGrpc.java
new file mode 100644
index 000000000..acf40fbbf
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceGrpc.java
@@ -0,0 +1,1414 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.google.cloud.aiplatform.v1;
+
+import static io.grpc.MethodDescriptor.generateFullMethodName;
+import static io.grpc.stub.ClientCalls.asyncUnaryCall;
+import static io.grpc.stub.ClientCalls.blockingUnaryCall;
+import static io.grpc.stub.ClientCalls.futureUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
+
+/**
+ *
+ *
+ * <pre>
+ * A service for managing AI Platform's machine learning Models.
+ * </pre>
+ */
+@javax.annotation.Generated(
+    value = "by gRPC proto compiler",
+    comments = "Source: google/cloud/aiplatform/v1/model_service.proto")
+public final class ModelServiceGrpc {
+
+  private ModelServiceGrpc() {}
+
+  public static final String SERVICE_NAME = "google.cloud.aiplatform.v1.ModelService";
+
+  // Static method descriptors that strictly reflect the proto.
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UploadModelRequest, com.google.longrunning.Operation>
+      getUploadModelMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "UploadModel",
+      requestType = com.google.cloud.aiplatform.v1.UploadModelRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UploadModelRequest, com.google.longrunning.Operation>
+      getUploadModelMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.UploadModelRequest, com.google.longrunning.Operation>
+        getUploadModelMethod;
+    if ((getUploadModelMethod = ModelServiceGrpc.getUploadModelMethod) == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getUploadModelMethod = ModelServiceGrpc.getUploadModelMethod) == null) {
+          ModelServiceGrpc.getUploadModelMethod =
+              getUploadModelMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.UploadModelRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UploadModel"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.UploadModelRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(new ModelServiceMethodDescriptorSupplier("UploadModel"))
+                      .build();
+        }
+      }
+    }
+    return getUploadModelMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetModelRequest, com.google.cloud.aiplatform.v1.Model>
+      getGetModelMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetModel",
+      requestType = com.google.cloud.aiplatform.v1.GetModelRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.Model.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetModelRequest, com.google.cloud.aiplatform.v1.Model>
+      getGetModelMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetModelRequest, com.google.cloud.aiplatform.v1.Model>
+        getGetModelMethod;
+    if ((getGetModelMethod = ModelServiceGrpc.getGetModelMethod) == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getGetModelMethod = ModelServiceGrpc.getGetModelMethod) == null) {
+          ModelServiceGrpc.getGetModelMethod =
+              getGetModelMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetModelRequest,
+                          com.google.cloud.aiplatform.v1.Model>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetModel"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetModelRequest.getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.Model.getDefaultInstance()))
+                      .setSchemaDescriptor(new ModelServiceMethodDescriptorSupplier("GetModel"))
+                      .build();
+        }
+      }
+    }
+    return getGetModelMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListModelsRequest,
+          com.google.cloud.aiplatform.v1.ListModelsResponse>
+      getListModelsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListModels",
+      requestType = com.google.cloud.aiplatform.v1.ListModelsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListModelsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListModelsRequest,
+          com.google.cloud.aiplatform.v1.ListModelsResponse>
+      getListModelsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListModelsRequest,
+            com.google.cloud.aiplatform.v1.ListModelsResponse>
+        getListModelsMethod;
+    if ((getListModelsMethod = ModelServiceGrpc.getListModelsMethod) == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getListModelsMethod = ModelServiceGrpc.getListModelsMethod) == null) {
+          ModelServiceGrpc.getListModelsMethod =
+              getListModelsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListModelsRequest,
+                          com.google.cloud.aiplatform.v1.ListModelsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ListModels"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListModelsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListModelsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(new ModelServiceMethodDescriptorSupplier("ListModels"))
+                      .build();
+        }
+      }
+    }
+    return getListModelsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UpdateModelRequest, com.google.cloud.aiplatform.v1.Model>
+      getUpdateModelMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "UpdateModel",
+      requestType = com.google.cloud.aiplatform.v1.UpdateModelRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.Model.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UpdateModelRequest, com.google.cloud.aiplatform.v1.Model>
+      getUpdateModelMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.UpdateModelRequest, com.google.cloud.aiplatform.v1.Model>
+        getUpdateModelMethod;
+    if ((getUpdateModelMethod = ModelServiceGrpc.getUpdateModelMethod) == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getUpdateModelMethod = ModelServiceGrpc.getUpdateModelMethod) == null) {
+          ModelServiceGrpc.getUpdateModelMethod =
+              getUpdateModelMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.UpdateModelRequest,
+                          com.google.cloud.aiplatform.v1.Model>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "UpdateModel"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.UpdateModelRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.Model.getDefaultInstance()))
+                      .setSchemaDescriptor(new ModelServiceMethodDescriptorSupplier("UpdateModel"))
+                      .build();
+        }
+      }
+    }
+    return getUpdateModelMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteModelRequest, com.google.longrunning.Operation>
+      getDeleteModelMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteModel",
+      requestType = com.google.cloud.aiplatform.v1.DeleteModelRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteModelRequest, com.google.longrunning.Operation>
+      getDeleteModelMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteModelRequest, com.google.longrunning.Operation>
+        getDeleteModelMethod;
+    if ((getDeleteModelMethod = ModelServiceGrpc.getDeleteModelMethod) == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getDeleteModelMethod = ModelServiceGrpc.getDeleteModelMethod) == null) {
+          ModelServiceGrpc.getDeleteModelMethod =
+              getDeleteModelMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteModelRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "DeleteModel"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteModelRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(new ModelServiceMethodDescriptorSupplier("DeleteModel"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteModelMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ExportModelRequest, com.google.longrunning.Operation>
+      getExportModelMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ExportModel",
+      requestType = com.google.cloud.aiplatform.v1.ExportModelRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ExportModelRequest, com.google.longrunning.Operation>
+      getExportModelMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ExportModelRequest, com.google.longrunning.Operation>
+        getExportModelMethod;
+    if ((getExportModelMethod = ModelServiceGrpc.getExportModelMethod) == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getExportModelMethod = ModelServiceGrpc.getExportModelMethod) == null) {
+          ModelServiceGrpc.getExportModelMethod =
+              getExportModelMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ExportModelRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "ExportModel"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ExportModelRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(new ModelServiceMethodDescriptorSupplier("ExportModel"))
+                      .build();
+        }
+      }
+    }
+    return getExportModelMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetModelEvaluationRequest,
+          com.google.cloud.aiplatform.v1.ModelEvaluation>
+      getGetModelEvaluationMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetModelEvaluation",
+      requestType = com.google.cloud.aiplatform.v1.GetModelEvaluationRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ModelEvaluation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetModelEvaluationRequest,
+          com.google.cloud.aiplatform.v1.ModelEvaluation>
+      getGetModelEvaluationMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetModelEvaluationRequest,
+            com.google.cloud.aiplatform.v1.ModelEvaluation>
+        getGetModelEvaluationMethod;
+    if ((getGetModelEvaluationMethod = ModelServiceGrpc.getGetModelEvaluationMethod) == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getGetModelEvaluationMethod = ModelServiceGrpc.getGetModelEvaluationMethod) == null) {
+          ModelServiceGrpc.getGetModelEvaluationMethod =
+              getGetModelEvaluationMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetModelEvaluationRequest,
+                          com.google.cloud.aiplatform.v1.ModelEvaluation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetModelEvaluation"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetModelEvaluationRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ModelEvaluation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new ModelServiceMethodDescriptorSupplier("GetModelEvaluation"))
+                      .build();
+        }
+      }
+    }
+    return getGetModelEvaluationMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest,
+          com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>
+      getListModelEvaluationsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListModelEvaluations",
+      requestType = com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest,
+          com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>
+      getListModelEvaluationsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest,
+            com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>
+        getListModelEvaluationsMethod;
+    if ((getListModelEvaluationsMethod = ModelServiceGrpc.getListModelEvaluationsMethod) == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getListModelEvaluationsMethod = ModelServiceGrpc.getListModelEvaluationsMethod)
+            == null) {
+          ModelServiceGrpc.getListModelEvaluationsMethod =
+              getListModelEvaluationsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest,
+                          com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ListModelEvaluations"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new ModelServiceMethodDescriptorSupplier("ListModelEvaluations"))
+                      .build();
+        }
+      }
+    }
+    return getListModelEvaluationsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest,
+          com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+      getGetModelEvaluationSliceMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetModelEvaluationSlice",
+      requestType = com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ModelEvaluationSlice.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest,
+          com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+      getGetModelEvaluationSliceMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+        getGetModelEvaluationSliceMethod;
+    if ((getGetModelEvaluationSliceMethod = ModelServiceGrpc.getGetModelEvaluationSliceMethod)
+        == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getGetModelEvaluationSliceMethod = ModelServiceGrpc.getGetModelEvaluationSliceMethod)
+            == null) {
+          ModelServiceGrpc.getGetModelEvaluationSliceMethod =
+              getGetModelEvaluationSliceMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest,
+                          com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "GetModelEvaluationSlice"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ModelEvaluationSlice
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new ModelServiceMethodDescriptorSupplier("GetModelEvaluationSlice"))
+                      .build();
+        }
+      }
+    }
+    return getGetModelEvaluationSliceMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest,
+          com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>
+      getListModelEvaluationSlicesMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListModelEvaluationSlices",
+      requestType = com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest,
+          com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>
+      getListModelEvaluationSlicesMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest,
+            com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>
+        getListModelEvaluationSlicesMethod;
+    if ((getListModelEvaluationSlicesMethod = ModelServiceGrpc.getListModelEvaluationSlicesMethod)
+        == null) {
+      synchronized (ModelServiceGrpc.class) {
+        if ((getListModelEvaluationSlicesMethod =
+                ModelServiceGrpc.getListModelEvaluationSlicesMethod)
+            == null) {
+          ModelServiceGrpc.getListModelEvaluationSlicesMethod =
+              getListModelEvaluationSlicesMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest,
+                          com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ListModelEvaluationSlices"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new ModelServiceMethodDescriptorSupplier("ListModelEvaluationSlices"))
+                      .build();
+        }
+      }
+    }
+    return getListModelEvaluationSlicesMethod;
+  }
+
+  /** Creates a new async stub that supports all call types for the service */
+  public static ModelServiceStub newStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<ModelServiceStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<ModelServiceStub>() {
+          @java.lang.Override
+          public ModelServiceStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new ModelServiceStub(channel, callOptions);
+          }
+        };
+    return ModelServiceStub.newStub(factory, channel);
+  }
+
+  /**
+   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
+   */
+  public static ModelServiceBlockingStub newBlockingStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<ModelServiceBlockingStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<ModelServiceBlockingStub>() {
+          @java.lang.Override
+          public ModelServiceBlockingStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new ModelServiceBlockingStub(channel, callOptions);
+          }
+        };
+    return ModelServiceBlockingStub.newStub(factory, channel);
+  }
+
+  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
+  public static ModelServiceFutureStub newFutureStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<ModelServiceFutureStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<ModelServiceFutureStub>() {
+          @java.lang.Override
+          public ModelServiceFutureStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new ModelServiceFutureStub(channel, callOptions);
+          }
+        };
+    return ModelServiceFutureStub.newStub(factory, channel);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for managing AI Platform's machine learning Models.
+   * </pre>
+   */
+  public abstract static class ModelServiceImplBase implements io.grpc.BindableService {
+
+    /**
+     *
+     *
+     * <pre>
+     * Uploads a Model artifact into AI Platform.
+     * </pre>
+     */
+    public void uploadModel(
+        com.google.cloud.aiplatform.v1.UploadModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getUploadModelMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a Model.
+     * </pre>
+     */
+    public void getModel(
+        com.google.cloud.aiplatform.v1.GetModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Model> responseObserver) {
+      asyncUnimplementedUnaryCall(getGetModelMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Models in a Location.
+     * </pre>
+     */
+    public void listModels(
+        com.google.cloud.aiplatform.v1.ListModelsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListModelsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListModelsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a Model.
+     * </pre>
+     */
+    public void updateModel(
+        com.google.cloud.aiplatform.v1.UpdateModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Model> responseObserver) {
+      asyncUnimplementedUnaryCall(getUpdateModelMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a Model.
+     * Note: Model can only be deleted if there are no DeployedModels created
+     * from it.
+     * </pre>
+     */
+    public void deleteModel(
+        com.google.cloud.aiplatform.v1.DeleteModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteModelMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Exports a trained, exportable, Model to a location specified by the
+     * user. A Model is considered to be exportable if it has at least one
+     * [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * </pre>
+     */
+    public void exportModel(
+        com.google.cloud.aiplatform.v1.ExportModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getExportModelMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a ModelEvaluation.
+     * </pre>
+     */
+    public void getModelEvaluation(
+        com.google.cloud.aiplatform.v1.GetModelEvaluationRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ModelEvaluation>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getGetModelEvaluationMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists ModelEvaluations in a Model.
+     * </pre>
+     */
+    public void listModelEvaluations(
+        com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListModelEvaluationsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a ModelEvaluationSlice.
+     * </pre>
+     */
+    public void getModelEvaluationSlice(
+        com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getGetModelEvaluationSliceMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists ModelEvaluationSlices in a ModelEvaluation.
+     * </pre>
+     */
+    public void listModelEvaluationSlices(
+        com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest request,
+        io.grpc.stub.StreamObserver<
+                com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListModelEvaluationSlicesMethod(), responseObserver);
+    }
+
+    @java.lang.Override
+    public final io.grpc.ServerServiceDefinition bindService() {
+      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
+          .addMethod(
+              getUploadModelMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.UploadModelRequest,
+                      com.google.longrunning.Operation>(this, METHODID_UPLOAD_MODEL)))
+          .addMethod(
+              getGetModelMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetModelRequest,
+                      com.google.cloud.aiplatform.v1.Model>(this, METHODID_GET_MODEL)))
+          .addMethod(
+              getListModelsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListModelsRequest,
+                      com.google.cloud.aiplatform.v1.ListModelsResponse>(
+                      this, METHODID_LIST_MODELS)))
+          .addMethod(
+              getUpdateModelMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.UpdateModelRequest,
+                      com.google.cloud.aiplatform.v1.Model>(this, METHODID_UPDATE_MODEL)))
+          .addMethod(
+              getDeleteModelMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteModelRequest,
+                      com.google.longrunning.Operation>(this, METHODID_DELETE_MODEL)))
+          .addMethod(
+              getExportModelMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ExportModelRequest,
+                      com.google.longrunning.Operation>(this, METHODID_EXPORT_MODEL)))
+          .addMethod(
+              getGetModelEvaluationMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetModelEvaluationRequest,
+                      com.google.cloud.aiplatform.v1.ModelEvaluation>(
+                      this, METHODID_GET_MODEL_EVALUATION)))
+          .addMethod(
+              getListModelEvaluationsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest,
+                      com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>(
+                      this, METHODID_LIST_MODEL_EVALUATIONS)))
+          .addMethod(
+              getGetModelEvaluationSliceMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest,
+                      com.google.cloud.aiplatform.v1.ModelEvaluationSlice>(
+                      this, METHODID_GET_MODEL_EVALUATION_SLICE)))
+          .addMethod(
+              getListModelEvaluationSlicesMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest,
+                      com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>(
+                      this, METHODID_LIST_MODEL_EVALUATION_SLICES)))
+          .build();
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for managing AI Platform's machine learning Models.
+   * </pre>
+   */
+  public static final class ModelServiceStub
+      extends io.grpc.stub.AbstractAsyncStub<ModelServiceStub> {
+    private ModelServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected ModelServiceStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new ModelServiceStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Uploads a Model artifact into AI Platform.
+     * </pre>
+     */
+    public void uploadModel(
+        com.google.cloud.aiplatform.v1.UploadModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getUploadModelMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a Model.
+     * </pre>
+     */
+    public void getModel(
+        com.google.cloud.aiplatform.v1.GetModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Model> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetModelMethod(), getCallOptions()), request, responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Models in a Location.
+     * </pre>
+     */
+    public void listModels(
+        com.google.cloud.aiplatform.v1.ListModelsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListModelsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListModelsMethod(), getCallOptions()), request, responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a Model.
+     * </pre>
+     */
+    public void updateModel(
+        com.google.cloud.aiplatform.v1.UpdateModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Model> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getUpdateModelMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a Model.
+     * Note: Model can only be deleted if there are no DeployedModels created
+     * from it.
+     * </pre>
+     */
+    public void deleteModel(
+        com.google.cloud.aiplatform.v1.DeleteModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteModelMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Exports a trained, exportable, Model to a location specified by the
+     * user. A Model is considered to be exportable if it has at least one
+     * [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * </pre>
+     */
+    public void exportModel(
+        com.google.cloud.aiplatform.v1.ExportModelRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getExportModelMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a ModelEvaluation.
+     * </pre>
+     */
+    public void getModelEvaluation(
+        com.google.cloud.aiplatform.v1.GetModelEvaluationRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ModelEvaluation>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetModelEvaluationMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists ModelEvaluations in a Model.
+     * </pre>
+     */
+    public void listModelEvaluations(
+        com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListModelEvaluationsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a ModelEvaluationSlice.
+     * </pre>
+     */
+    public void getModelEvaluationSlice(
+        com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetModelEvaluationSliceMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists ModelEvaluationSlices in a ModelEvaluation.
+     * </pre>
+     */
+    public void listModelEvaluationSlices(
+        com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest request,
+        io.grpc.stub.StreamObserver<
+                com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListModelEvaluationSlicesMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for managing AI Platform's machine learning Models.
+   * </pre>
+   */
+  public static final class ModelServiceBlockingStub
+      extends io.grpc.stub.AbstractBlockingStub<ModelServiceBlockingStub> {
+    private ModelServiceBlockingStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected ModelServiceBlockingStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new ModelServiceBlockingStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Uploads a Model artifact into AI Platform.
+     * </pre>
+     */
+    public com.google.longrunning.Operation uploadModel(
+        com.google.cloud.aiplatform.v1.UploadModelRequest request) {
+      return blockingUnaryCall(getChannel(), getUploadModelMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a Model.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.Model getModel(
+        com.google.cloud.aiplatform.v1.GetModelRequest request) {
+      return blockingUnaryCall(getChannel(), getGetModelMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Models in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListModelsResponse listModels(
+        com.google.cloud.aiplatform.v1.ListModelsRequest request) {
+      return blockingUnaryCall(getChannel(), getListModelsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a Model.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.Model updateModel(
+        com.google.cloud.aiplatform.v1.UpdateModelRequest request) {
+      return blockingUnaryCall(getChannel(), getUpdateModelMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a Model.
+     * Note: Model can only be deleted if there are no DeployedModels created
+     * from it.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteModel(
+        com.google.cloud.aiplatform.v1.DeleteModelRequest request) {
+      return blockingUnaryCall(getChannel(), getDeleteModelMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Exports a trained, exportable, Model to a location specified by the
+     * user. A Model is considered to be exportable if it has at least one
+     * [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * </pre>
+     */
+    public com.google.longrunning.Operation exportModel(
+        com.google.cloud.aiplatform.v1.ExportModelRequest request) {
+      return blockingUnaryCall(getChannel(), getExportModelMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a ModelEvaluation.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluation getModelEvaluation(
+        com.google.cloud.aiplatform.v1.GetModelEvaluationRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getGetModelEvaluationMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists ModelEvaluations in a Model.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse listModelEvaluations(
+        com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getListModelEvaluationsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a ModelEvaluationSlice.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice getModelEvaluationSlice(
+        com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getGetModelEvaluationSliceMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists ModelEvaluationSlices in a ModelEvaluation.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse
+        listModelEvaluationSlices(
+            com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getListModelEvaluationSlicesMethod(), getCallOptions(), request);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for managing AI Platform's machine learning Models.
+   * </pre>
+   */
+  public static final class ModelServiceFutureStub
+      extends io.grpc.stub.AbstractFutureStub<ModelServiceFutureStub> {
+    private ModelServiceFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected ModelServiceFutureStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new ModelServiceFutureStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Uploads a Model artifact into AI Platform.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        uploadModel(com.google.cloud.aiplatform.v1.UploadModelRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getUploadModelMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a Model.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.cloud.aiplatform.v1.Model>
+        getModel(com.google.cloud.aiplatform.v1.GetModelRequest request) {
+      return futureUnaryCall(getChannel().newCall(getGetModelMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists Models in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListModelsResponse>
+        listModels(com.google.cloud.aiplatform.v1.ListModelsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListModelsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a Model.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.cloud.aiplatform.v1.Model>
+        updateModel(com.google.cloud.aiplatform.v1.UpdateModelRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getUpdateModelMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a Model.
+     * Note: Model can only be deleted if there are no DeployedModels created
+     * from it.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteModel(com.google.cloud.aiplatform.v1.DeleteModelRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteModelMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Exports a trained, exportable, Model to a location specified by the
+     * user. A Model is considered to be exportable if it has at least one
+     * [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        exportModel(com.google.cloud.aiplatform.v1.ExportModelRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getExportModelMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a ModelEvaluation.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ModelEvaluation>
+        getModelEvaluation(com.google.cloud.aiplatform.v1.GetModelEvaluationRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetModelEvaluationMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists ModelEvaluations in a Model.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>
+        listModelEvaluations(com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListModelEvaluationsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a ModelEvaluationSlice.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+        getModelEvaluationSlice(
+            com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetModelEvaluationSliceMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists ModelEvaluationSlices in a ModelEvaluation.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>
+        listModelEvaluationSlices(
+            com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListModelEvaluationSlicesMethod(), getCallOptions()), request);
+    }
+  }
+
+  private static final int METHODID_UPLOAD_MODEL = 0;
+  private static final int METHODID_GET_MODEL = 1;
+  private static final int METHODID_LIST_MODELS = 2;
+  private static final int METHODID_UPDATE_MODEL = 3;
+  private static final int METHODID_DELETE_MODEL = 4;
+  private static final int METHODID_EXPORT_MODEL = 5;
+  private static final int METHODID_GET_MODEL_EVALUATION = 6;
+  private static final int METHODID_LIST_MODEL_EVALUATIONS = 7;
+  private static final int METHODID_GET_MODEL_EVALUATION_SLICE = 8;
+  private static final int METHODID_LIST_MODEL_EVALUATION_SLICES = 9;
+
+  private static final class MethodHandlers<Req, Resp>
+      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
+    private final ModelServiceImplBase serviceImpl;
+    private final int methodId;
+
+    MethodHandlers(ModelServiceImplBase serviceImpl, int methodId) {
+      this.serviceImpl = serviceImpl;
+      this.methodId = methodId;
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        case METHODID_UPLOAD_MODEL:
+          serviceImpl.uploadModel(
+              (com.google.cloud.aiplatform.v1.UploadModelRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_GET_MODEL:
+          serviceImpl.getModel(
+              (com.google.cloud.aiplatform.v1.GetModelRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Model>) responseObserver);
+          break;
+        case METHODID_LIST_MODELS:
+          serviceImpl.listModels(
+              (com.google.cloud.aiplatform.v1.ListModelsRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListModelsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_UPDATE_MODEL:
+          serviceImpl.updateModel(
+              (com.google.cloud.aiplatform.v1.UpdateModelRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.Model>) responseObserver);
+          break;
+        case METHODID_DELETE_MODEL:
+          serviceImpl.deleteModel(
+              (com.google.cloud.aiplatform.v1.DeleteModelRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_EXPORT_MODEL:
+          serviceImpl.exportModel(
+              (com.google.cloud.aiplatform.v1.ExportModelRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_GET_MODEL_EVALUATION:
+          serviceImpl.getModelEvaluation(
+              (com.google.cloud.aiplatform.v1.GetModelEvaluationRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ModelEvaluation>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_MODEL_EVALUATIONS:
+          serviceImpl.listModelEvaluations(
+              (com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_GET_MODEL_EVALUATION_SLICE:
+          serviceImpl.getModelEvaluationSlice(
+              (com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_MODEL_EVALUATION_SLICES:
+          serviceImpl.listModelEvaluationSlices(
+              (com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse>)
+                  responseObserver);
+          break;
+        default:
+          throw new AssertionError();
+      }
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public io.grpc.stub.StreamObserver<Req> invoke(
+        io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        default:
+          throw new AssertionError();
+      }
+    }
+  }
+
+  private abstract static class ModelServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
+          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
+    ModelServiceBaseDescriptorSupplier() {}
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto.getDescriptor();
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
+      return getFileDescriptor().findServiceByName("ModelService");
+    }
+  }
+
+  private static final class ModelServiceFileDescriptorSupplier
+      extends ModelServiceBaseDescriptorSupplier {
+    ModelServiceFileDescriptorSupplier() {}
+  }
+
+  private static final class ModelServiceMethodDescriptorSupplier
+      extends ModelServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
+    private final String methodName;
+
+    ModelServiceMethodDescriptorSupplier(String methodName) {
+      this.methodName = methodName;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
+      return getServiceDescriptor().findMethodByName(methodName);
+    }
+  }
+
+  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
+
+  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
+    io.grpc.ServiceDescriptor result = serviceDescriptor;
+    if (result == null) {
+      synchronized (ModelServiceGrpc.class) {
+        result = serviceDescriptor;
+        if (result == null) {
+          serviceDescriptor =
+              result =
+                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
+                      .setSchemaDescriptor(new ModelServiceFileDescriptorSupplier())
+                      .addMethod(getUploadModelMethod())
+                      .addMethod(getGetModelMethod())
+                      .addMethod(getListModelsMethod())
+                      .addMethod(getUpdateModelMethod())
+                      .addMethod(getDeleteModelMethod())
+                      .addMethod(getExportModelMethod())
+                      .addMethod(getGetModelEvaluationMethod())
+                      .addMethod(getListModelEvaluationsMethod())
+                      .addMethod(getGetModelEvaluationSliceMethod())
+                      .addMethod(getListModelEvaluationSlicesMethod())
+                      .build();
+        }
+      }
+    }
+    return result;
+  }
+}
diff --git a/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceGrpc.java b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceGrpc.java
new file mode 100644
index 000000000..8dc0d11f3
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceGrpc.java
@@ -0,0 +1,887 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.google.cloud.aiplatform.v1;
+
+import static io.grpc.MethodDescriptor.generateFullMethodName;
+import static io.grpc.stub.ClientCalls.asyncUnaryCall;
+import static io.grpc.stub.ClientCalls.blockingUnaryCall;
+import static io.grpc.stub.ClientCalls.futureUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
+
+/**
+ *
+ *
+ * <pre>
+ * A service for creating and managing AI Platform's pipelines.
+ * </pre>
+ */
+@javax.annotation.Generated(
+    value = "by gRPC proto compiler",
+    comments = "Source: google/cloud/aiplatform/v1/pipeline_service.proto")
+public final class PipelineServiceGrpc {
+
+  private PipelineServiceGrpc() {}
+
+  public static final String SERVICE_NAME = "google.cloud.aiplatform.v1.PipelineService";
+
+  // Static method descriptors that strictly reflect the proto.
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest,
+          com.google.cloud.aiplatform.v1.TrainingPipeline>
+      getCreateTrainingPipelineMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CreateTrainingPipeline",
+      requestType = com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.TrainingPipeline.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest,
+          com.google.cloud.aiplatform.v1.TrainingPipeline>
+      getCreateTrainingPipelineMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest,
+            com.google.cloud.aiplatform.v1.TrainingPipeline>
+        getCreateTrainingPipelineMethod;
+    if ((getCreateTrainingPipelineMethod = PipelineServiceGrpc.getCreateTrainingPipelineMethod)
+        == null) {
+      synchronized (PipelineServiceGrpc.class) {
+        if ((getCreateTrainingPipelineMethod = PipelineServiceGrpc.getCreateTrainingPipelineMethod)
+            == null) {
+          PipelineServiceGrpc.getCreateTrainingPipelineMethod =
+              getCreateTrainingPipelineMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest,
+                          com.google.cloud.aiplatform.v1.TrainingPipeline>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CreateTrainingPipeline"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.TrainingPipeline.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new PipelineServiceMethodDescriptorSupplier("CreateTrainingPipeline"))
+                      .build();
+        }
+      }
+    }
+    return getCreateTrainingPipelineMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest,
+          com.google.cloud.aiplatform.v1.TrainingPipeline>
+      getGetTrainingPipelineMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetTrainingPipeline",
+      requestType = com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.TrainingPipeline.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest,
+          com.google.cloud.aiplatform.v1.TrainingPipeline>
+      getGetTrainingPipelineMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest,
+            com.google.cloud.aiplatform.v1.TrainingPipeline>
+        getGetTrainingPipelineMethod;
+    if ((getGetTrainingPipelineMethod = PipelineServiceGrpc.getGetTrainingPipelineMethod) == null) {
+      synchronized (PipelineServiceGrpc.class) {
+        if ((getGetTrainingPipelineMethod = PipelineServiceGrpc.getGetTrainingPipelineMethod)
+            == null) {
+          PipelineServiceGrpc.getGetTrainingPipelineMethod =
+              getGetTrainingPipelineMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest,
+                          com.google.cloud.aiplatform.v1.TrainingPipeline>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "GetTrainingPipeline"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.TrainingPipeline.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new PipelineServiceMethodDescriptorSupplier("GetTrainingPipeline"))
+                      .build();
+        }
+      }
+    }
+    return getGetTrainingPipelineMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest,
+          com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>
+      getListTrainingPipelinesMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListTrainingPipelines",
+      requestType = com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest,
+          com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>
+      getListTrainingPipelinesMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest,
+            com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>
+        getListTrainingPipelinesMethod;
+    if ((getListTrainingPipelinesMethod = PipelineServiceGrpc.getListTrainingPipelinesMethod)
+        == null) {
+      synchronized (PipelineServiceGrpc.class) {
+        if ((getListTrainingPipelinesMethod = PipelineServiceGrpc.getListTrainingPipelinesMethod)
+            == null) {
+          PipelineServiceGrpc.getListTrainingPipelinesMethod =
+              getListTrainingPipelinesMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest,
+                          com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ListTrainingPipelines"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new PipelineServiceMethodDescriptorSupplier("ListTrainingPipelines"))
+                      .build();
+        }
+      }
+    }
+    return getListTrainingPipelinesMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest,
+          com.google.longrunning.Operation>
+      getDeleteTrainingPipelineMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteTrainingPipeline",
+      requestType = com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest,
+          com.google.longrunning.Operation>
+      getDeleteTrainingPipelineMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest,
+            com.google.longrunning.Operation>
+        getDeleteTrainingPipelineMethod;
+    if ((getDeleteTrainingPipelineMethod = PipelineServiceGrpc.getDeleteTrainingPipelineMethod)
+        == null) {
+      synchronized (PipelineServiceGrpc.class) {
+        if ((getDeleteTrainingPipelineMethod = PipelineServiceGrpc.getDeleteTrainingPipelineMethod)
+            == null) {
+          PipelineServiceGrpc.getDeleteTrainingPipelineMethod =
+              getDeleteTrainingPipelineMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "DeleteTrainingPipeline"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new PipelineServiceMethodDescriptorSupplier("DeleteTrainingPipeline"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteTrainingPipelineMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest, com.google.protobuf.Empty>
+      getCancelTrainingPipelineMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CancelTrainingPipeline",
+      requestType = com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.class,
+      responseType = com.google.protobuf.Empty.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest, com.google.protobuf.Empty>
+      getCancelTrainingPipelineMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest, com.google.protobuf.Empty>
+        getCancelTrainingPipelineMethod;
+    if ((getCancelTrainingPipelineMethod = PipelineServiceGrpc.getCancelTrainingPipelineMethod)
+        == null) {
+      synchronized (PipelineServiceGrpc.class) {
+        if ((getCancelTrainingPipelineMethod = PipelineServiceGrpc.getCancelTrainingPipelineMethod)
+            == null) {
+          PipelineServiceGrpc.getCancelTrainingPipelineMethod =
+              getCancelTrainingPipelineMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest,
+                          com.google.protobuf.Empty>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CancelTrainingPipeline"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.protobuf.Empty.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new PipelineServiceMethodDescriptorSupplier("CancelTrainingPipeline"))
+                      .build();
+        }
+      }
+    }
+    return getCancelTrainingPipelineMethod;
+  }
+
+  /** Creates a new async stub that supports all call types for the service */
+  public static PipelineServiceStub newStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<PipelineServiceStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<PipelineServiceStub>() {
+          @java.lang.Override
+          public PipelineServiceStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new PipelineServiceStub(channel, callOptions);
+          }
+        };
+    return PipelineServiceStub.newStub(factory, channel);
+  }
+
+  /**
+   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
+   */
+  public static PipelineServiceBlockingStub newBlockingStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<PipelineServiceBlockingStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<PipelineServiceBlockingStub>() {
+          @java.lang.Override
+          public PipelineServiceBlockingStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new PipelineServiceBlockingStub(channel, callOptions);
+          }
+        };
+    return PipelineServiceBlockingStub.newStub(factory, channel);
+  }
+
+  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
+  public static PipelineServiceFutureStub newFutureStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<PipelineServiceFutureStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<PipelineServiceFutureStub>() {
+          @java.lang.Override
+          public PipelineServiceFutureStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new PipelineServiceFutureStub(channel, callOptions);
+          }
+        };
+    return PipelineServiceFutureStub.newStub(factory, channel);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing AI Platform's pipelines.
+   * </pre>
+   */
+  public abstract static class PipelineServiceImplBase implements io.grpc.BindableService {
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a TrainingPipeline. A created TrainingPipeline right away will be
+     * attempted to be run.
+     * </pre>
+     */
+    public void createTrainingPipeline(
+        com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.TrainingPipeline>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getCreateTrainingPipelineMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a TrainingPipeline.
+     * </pre>
+     */
+    public void getTrainingPipeline(
+        com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.TrainingPipeline>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getGetTrainingPipelineMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists TrainingPipelines in a Location.
+     * </pre>
+     */
+    public void listTrainingPipelines(
+        com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListTrainingPipelinesMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a TrainingPipeline.
+     * </pre>
+     */
+    public void deleteTrainingPipeline(
+        com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteTrainingPipelineMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a TrainingPipeline.
+     * Starts asynchronous cancellation on the TrainingPipeline. The server
+     * makes a best effort to cancel the pipeline, but success is not
+     * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * pipeline completed despite cancellation. On successful cancellation,
+     * the TrainingPipeline is not deleted; instead it becomes a pipeline with
+     * a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+     * `CANCELLED`.
+     * </pre>
+     */
+    public void cancelTrainingPipeline(
+        com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnimplementedUnaryCall(getCancelTrainingPipelineMethod(), responseObserver);
+    }
+
+    @java.lang.Override
+    public final io.grpc.ServerServiceDefinition bindService() {
+      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
+          .addMethod(
+              getCreateTrainingPipelineMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest,
+                      com.google.cloud.aiplatform.v1.TrainingPipeline>(
+                      this, METHODID_CREATE_TRAINING_PIPELINE)))
+          .addMethod(
+              getGetTrainingPipelineMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest,
+                      com.google.cloud.aiplatform.v1.TrainingPipeline>(
+                      this, METHODID_GET_TRAINING_PIPELINE)))
+          .addMethod(
+              getListTrainingPipelinesMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest,
+                      com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>(
+                      this, METHODID_LIST_TRAINING_PIPELINES)))
+          .addMethod(
+              getDeleteTrainingPipelineMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest,
+                      com.google.longrunning.Operation>(this, METHODID_DELETE_TRAINING_PIPELINE)))
+          .addMethod(
+              getCancelTrainingPipelineMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest,
+                      com.google.protobuf.Empty>(this, METHODID_CANCEL_TRAINING_PIPELINE)))
+          .build();
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing AI Platform's pipelines.
+   * </pre>
+   */
+  public static final class PipelineServiceStub
+      extends io.grpc.stub.AbstractAsyncStub<PipelineServiceStub> {
+    private PipelineServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected PipelineServiceStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new PipelineServiceStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a TrainingPipeline. A created TrainingPipeline right away will be
+     * attempted to be run.
+     * </pre>
+     */
+    public void createTrainingPipeline(
+        com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.TrainingPipeline>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCreateTrainingPipelineMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a TrainingPipeline.
+     * </pre>
+     */
+    public void getTrainingPipeline(
+        com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.TrainingPipeline>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetTrainingPipelineMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists TrainingPipelines in a Location.
+     * </pre>
+     */
+    public void listTrainingPipelines(
+        com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListTrainingPipelinesMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a TrainingPipeline.
+     * </pre>
+     */
+    public void deleteTrainingPipeline(
+        com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteTrainingPipelineMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a TrainingPipeline.
+     * Starts asynchronous cancellation on the TrainingPipeline. The server
+     * makes a best effort to cancel the pipeline, but success is not
+     * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * pipeline completed despite cancellation. On successful cancellation,
+     * the TrainingPipeline is not deleted; instead it becomes a pipeline with
+     * a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+     * `CANCELLED`.
+     * </pre>
+     */
+    public void cancelTrainingPipeline(
+        com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest request,
+        io.grpc.stub.StreamObserver<com.google.protobuf.Empty> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCancelTrainingPipelineMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing AI Platform's pipelines.
+   * </pre>
+   */
+  public static final class PipelineServiceBlockingStub
+      extends io.grpc.stub.AbstractBlockingStub<PipelineServiceBlockingStub> {
+    private PipelineServiceBlockingStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected PipelineServiceBlockingStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new PipelineServiceBlockingStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a TrainingPipeline. A created TrainingPipeline right away will be
+     * attempted to be run.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipeline createTrainingPipeline(
+        com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCreateTrainingPipelineMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a TrainingPipeline.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipeline getTrainingPipeline(
+        com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getGetTrainingPipelineMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists TrainingPipelines in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse listTrainingPipelines(
+        com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getListTrainingPipelinesMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a TrainingPipeline.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteTrainingPipeline(
+        com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getDeleteTrainingPipelineMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a TrainingPipeline.
+     * Starts asynchronous cancellation on the TrainingPipeline. The server
+     * makes a best effort to cancel the pipeline, but success is not
+     * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * pipeline completed despite cancellation. On successful cancellation,
+     * the TrainingPipeline is not deleted; instead it becomes a pipeline with
+     * a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+     * `CANCELLED`.
+     * </pre>
+     */
+    public com.google.protobuf.Empty cancelTrainingPipeline(
+        com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCancelTrainingPipelineMethod(), getCallOptions(), request);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing AI Platform's pipelines.
+   * </pre>
+   */
+  public static final class PipelineServiceFutureStub
+      extends io.grpc.stub.AbstractFutureStub<PipelineServiceFutureStub> {
+    private PipelineServiceFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected PipelineServiceFutureStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new PipelineServiceFutureStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a TrainingPipeline. A created TrainingPipeline right away will be
+     * attempted to be run.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.TrainingPipeline>
+        createTrainingPipeline(
+            com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCreateTrainingPipelineMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a TrainingPipeline.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.TrainingPipeline>
+        getTrainingPipeline(com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetTrainingPipelineMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists TrainingPipelines in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>
+        listTrainingPipelines(com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListTrainingPipelinesMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a TrainingPipeline.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteTrainingPipeline(
+            com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteTrainingPipelineMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Cancels a TrainingPipeline.
+     * Starts asynchronous cancellation on the TrainingPipeline. The server
+     * makes a best effort to cancel the pipeline, but success is not
+     * guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or
+     * other methods to check whether the cancellation succeeded or whether the
+     * pipeline completed despite cancellation. On successful cancellation,
+     * the TrainingPipeline is not deleted; instead it becomes a pipeline with
+     * a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+     * corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+     * `CANCELLED`.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.protobuf.Empty>
+        cancelTrainingPipeline(
+            com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCancelTrainingPipelineMethod(), getCallOptions()), request);
+    }
+  }
+
+  private static final int METHODID_CREATE_TRAINING_PIPELINE = 0;
+  private static final int METHODID_GET_TRAINING_PIPELINE = 1;
+  private static final int METHODID_LIST_TRAINING_PIPELINES = 2;
+  private static final int METHODID_DELETE_TRAINING_PIPELINE = 3;
+  private static final int METHODID_CANCEL_TRAINING_PIPELINE = 4;
+
+  private static final class MethodHandlers<Req, Resp>
+      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
+    private final PipelineServiceImplBase serviceImpl;
+    private final int methodId;
+
+    MethodHandlers(PipelineServiceImplBase serviceImpl, int methodId) {
+      this.serviceImpl = serviceImpl;
+      this.methodId = methodId;
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        case METHODID_CREATE_TRAINING_PIPELINE:
+          serviceImpl.createTrainingPipeline(
+              (com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.TrainingPipeline>)
+                  responseObserver);
+          break;
+        case METHODID_GET_TRAINING_PIPELINE:
+          serviceImpl.getTrainingPipeline(
+              (com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.TrainingPipeline>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_TRAINING_PIPELINES:
+          serviceImpl.listTrainingPipelines(
+              (com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse>)
+                  responseObserver);
+          break;
+        case METHODID_DELETE_TRAINING_PIPELINE:
+          serviceImpl.deleteTrainingPipeline(
+              (com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_CANCEL_TRAINING_PIPELINE:
+          serviceImpl.cancelTrainingPipeline(
+              (com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.protobuf.Empty>) responseObserver);
+          break;
+        default:
+          throw new AssertionError();
+      }
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public io.grpc.stub.StreamObserver<Req> invoke(
+        io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        default:
+          throw new AssertionError();
+      }
+    }
+  }
+
+  private abstract static class PipelineServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
+          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
+    PipelineServiceBaseDescriptorSupplier() {}
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto.getDescriptor();
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
+      return getFileDescriptor().findServiceByName("PipelineService");
+    }
+  }
+
+  private static final class PipelineServiceFileDescriptorSupplier
+      extends PipelineServiceBaseDescriptorSupplier {
+    PipelineServiceFileDescriptorSupplier() {}
+  }
+
+  private static final class PipelineServiceMethodDescriptorSupplier
+      extends PipelineServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
+    private final String methodName;
+
+    PipelineServiceMethodDescriptorSupplier(String methodName) {
+      this.methodName = methodName;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
+      return getServiceDescriptor().findMethodByName(methodName);
+    }
+  }
+
+  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
+
+  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
+    io.grpc.ServiceDescriptor result = serviceDescriptor;
+    if (result == null) {
+      synchronized (PipelineServiceGrpc.class) {
+        result = serviceDescriptor;
+        if (result == null) {
+          serviceDescriptor =
+              result =
+                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
+                      .setSchemaDescriptor(new PipelineServiceFileDescriptorSupplier())
+                      .addMethod(getCreateTrainingPipelineMethod())
+                      .addMethod(getGetTrainingPipelineMethod())
+                      .addMethod(getListTrainingPipelinesMethod())
+                      .addMethod(getDeleteTrainingPipelineMethod())
+                      .addMethod(getCancelTrainingPipelineMethod())
+                      .build();
+        }
+      }
+    }
+    return result;
+  }
+}
diff --git a/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceGrpc.java b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceGrpc.java
new file mode 100644
index 000000000..1be987274
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceGrpc.java
@@ -0,0 +1,360 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.google.cloud.aiplatform.v1;
+
+import static io.grpc.MethodDescriptor.generateFullMethodName;
+import static io.grpc.stub.ClientCalls.asyncUnaryCall;
+import static io.grpc.stub.ClientCalls.blockingUnaryCall;
+import static io.grpc.stub.ClientCalls.futureUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
+
+/**
+ *
+ *
+ * <pre>
+ * A service for online predictions and explanations.
+ * </pre>
+ */
+@javax.annotation.Generated(
+    value = "by gRPC proto compiler",
+    comments = "Source: google/cloud/aiplatform/v1/prediction_service.proto")
+public final class PredictionServiceGrpc {
+
+  private PredictionServiceGrpc() {}
+
+  public static final String SERVICE_NAME = "google.cloud.aiplatform.v1.PredictionService";
+
+  // Static method descriptors that strictly reflect the proto.
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.PredictRequest,
+          com.google.cloud.aiplatform.v1.PredictResponse>
+      getPredictMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "Predict",
+      requestType = com.google.cloud.aiplatform.v1.PredictRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.PredictResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.PredictRequest,
+          com.google.cloud.aiplatform.v1.PredictResponse>
+      getPredictMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.PredictRequest,
+            com.google.cloud.aiplatform.v1.PredictResponse>
+        getPredictMethod;
+    if ((getPredictMethod = PredictionServiceGrpc.getPredictMethod) == null) {
+      synchronized (PredictionServiceGrpc.class) {
+        if ((getPredictMethod = PredictionServiceGrpc.getPredictMethod) == null) {
+          PredictionServiceGrpc.getPredictMethod =
+              getPredictMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.PredictRequest,
+                          com.google.cloud.aiplatform.v1.PredictResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "Predict"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.PredictRequest.getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.PredictResponse.getDefaultInstance()))
+                      .setSchemaDescriptor(new PredictionServiceMethodDescriptorSupplier("Predict"))
+                      .build();
+        }
+      }
+    }
+    return getPredictMethod;
+  }
+
+  /** Creates a new async stub that supports all call types for the service */
+  public static PredictionServiceStub newStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<PredictionServiceStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<PredictionServiceStub>() {
+          @java.lang.Override
+          public PredictionServiceStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new PredictionServiceStub(channel, callOptions);
+          }
+        };
+    return PredictionServiceStub.newStub(factory, channel);
+  }
+
+  /**
+   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
+   */
+  public static PredictionServiceBlockingStub newBlockingStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<PredictionServiceBlockingStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<PredictionServiceBlockingStub>() {
+          @java.lang.Override
+          public PredictionServiceBlockingStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new PredictionServiceBlockingStub(channel, callOptions);
+          }
+        };
+    return PredictionServiceBlockingStub.newStub(factory, channel);
+  }
+
+  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
+  public static PredictionServiceFutureStub newFutureStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<PredictionServiceFutureStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<PredictionServiceFutureStub>() {
+          @java.lang.Override
+          public PredictionServiceFutureStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new PredictionServiceFutureStub(channel, callOptions);
+          }
+        };
+    return PredictionServiceFutureStub.newStub(factory, channel);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for online predictions and explanations.
+   * </pre>
+   */
+  public abstract static class PredictionServiceImplBase implements io.grpc.BindableService {
+
+    /**
+     *
+     *
+     * <pre>
+     * Perform an online prediction.
+     * </pre>
+     */
+    public void predict(
+        com.google.cloud.aiplatform.v1.PredictRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.PredictResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getPredictMethod(), responseObserver);
+    }
+
+    @java.lang.Override
+    public final io.grpc.ServerServiceDefinition bindService() {
+      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
+          .addMethod(
+              getPredictMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.PredictRequest,
+                      com.google.cloud.aiplatform.v1.PredictResponse>(this, METHODID_PREDICT)))
+          .build();
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for online predictions and explanations.
+   * </pre>
+   */
+  public static final class PredictionServiceStub
+      extends io.grpc.stub.AbstractAsyncStub<PredictionServiceStub> {
+    private PredictionServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected PredictionServiceStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new PredictionServiceStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Perform an online prediction.
+     * </pre>
+     */
+    public void predict(
+        com.google.cloud.aiplatform.v1.PredictRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.PredictResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getPredictMethod(), getCallOptions()), request, responseObserver);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for online predictions and explanations.
+   * </pre>
+   */
+  public static final class PredictionServiceBlockingStub
+      extends io.grpc.stub.AbstractBlockingStub<PredictionServiceBlockingStub> {
+    private PredictionServiceBlockingStub(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected PredictionServiceBlockingStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new PredictionServiceBlockingStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Perform an online prediction.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.PredictResponse predict(
+        com.google.cloud.aiplatform.v1.PredictRequest request) {
+      return blockingUnaryCall(getChannel(), getPredictMethod(), getCallOptions(), request);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for online predictions and explanations.
+   * </pre>
+   */
+  public static final class PredictionServiceFutureStub
+      extends io.grpc.stub.AbstractFutureStub<PredictionServiceFutureStub> {
+    private PredictionServiceFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected PredictionServiceFutureStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new PredictionServiceFutureStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Perform an online prediction.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.PredictResponse>
+        predict(com.google.cloud.aiplatform.v1.PredictRequest request) {
+      return futureUnaryCall(getChannel().newCall(getPredictMethod(), getCallOptions()), request);
+    }
+  }
+
+  private static final int METHODID_PREDICT = 0;
+
+  private static final class MethodHandlers<Req, Resp>
+      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
+    private final PredictionServiceImplBase serviceImpl;
+    private final int methodId;
+
+    MethodHandlers(PredictionServiceImplBase serviceImpl, int methodId) {
+      this.serviceImpl = serviceImpl;
+      this.methodId = methodId;
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        case METHODID_PREDICT:
+          serviceImpl.predict(
+              (com.google.cloud.aiplatform.v1.PredictRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.PredictResponse>)
+                  responseObserver);
+          break;
+        default:
+          throw new AssertionError();
+      }
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public io.grpc.stub.StreamObserver<Req> invoke(
+        io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        default:
+          throw new AssertionError();
+      }
+    }
+  }
+
+  private abstract static class PredictionServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
+          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
+    PredictionServiceBaseDescriptorSupplier() {}
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
+      return com.google.cloud.aiplatform.v1.PredictionServiceProto.getDescriptor();
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
+      return getFileDescriptor().findServiceByName("PredictionService");
+    }
+  }
+
+  private static final class PredictionServiceFileDescriptorSupplier
+      extends PredictionServiceBaseDescriptorSupplier {
+    PredictionServiceFileDescriptorSupplier() {}
+  }
+
+  private static final class PredictionServiceMethodDescriptorSupplier
+      extends PredictionServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
+    private final String methodName;
+
+    PredictionServiceMethodDescriptorSupplier(String methodName) {
+      this.methodName = methodName;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
+      return getServiceDescriptor().findMethodByName(methodName);
+    }
+  }
+
+  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
+
+  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
+    io.grpc.ServiceDescriptor result = serviceDescriptor;
+    if (result == null) {
+      synchronized (PredictionServiceGrpc.class) {
+        result = serviceDescriptor;
+        if (result == null) {
+          serviceDescriptor =
+              result =
+                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
+                      .setSchemaDescriptor(new PredictionServiceFileDescriptorSupplier())
+                      .addMethod(getPredictMethod())
+                      .build();
+        }
+      }
+    }
+    return result;
+  }
+}
diff --git a/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceGrpc.java b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceGrpc.java
new file mode 100644
index 000000000..8eb3880f4
--- /dev/null
+++ b/grpc-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceGrpc.java
@@ -0,0 +1,873 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package com.google.cloud.aiplatform.v1;
+
+import static io.grpc.MethodDescriptor.generateFullMethodName;
+import static io.grpc.stub.ClientCalls.asyncUnaryCall;
+import static io.grpc.stub.ClientCalls.blockingUnaryCall;
+import static io.grpc.stub.ClientCalls.futureUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnaryCall;
+import static io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall;
+
+/**
+ *
+ *
+ * <pre>
+ * A service for creating and managing Customer SpecialistPools.
+ * When customers start Data Labeling jobs, they can reuse/create Specialist
+ * Pools to bring their own Specialists to label the data.
+ * Customers can add/remove Managers for the Specialist Pool on Cloud console,
+ * then Managers will get email notifications to manage Specialists and tasks on
+ * CrowdCompute console.
+ * </pre>
+ */
+@javax.annotation.Generated(
+    value = "by gRPC proto compiler",
+    comments = "Source: google/cloud/aiplatform/v1/specialist_pool_service.proto")
+public final class SpecialistPoolServiceGrpc {
+
+  private SpecialistPoolServiceGrpc() {}
+
+  public static final String SERVICE_NAME = "google.cloud.aiplatform.v1.SpecialistPoolService";
+
+  // Static method descriptors that strictly reflect the proto.
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest,
+          com.google.longrunning.Operation>
+      getCreateSpecialistPoolMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "CreateSpecialistPool",
+      requestType = com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest,
+          com.google.longrunning.Operation>
+      getCreateSpecialistPoolMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest,
+            com.google.longrunning.Operation>
+        getCreateSpecialistPoolMethod;
+    if ((getCreateSpecialistPoolMethod = SpecialistPoolServiceGrpc.getCreateSpecialistPoolMethod)
+        == null) {
+      synchronized (SpecialistPoolServiceGrpc.class) {
+        if ((getCreateSpecialistPoolMethod =
+                SpecialistPoolServiceGrpc.getCreateSpecialistPoolMethod)
+            == null) {
+          SpecialistPoolServiceGrpc.getCreateSpecialistPoolMethod =
+              getCreateSpecialistPoolMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "CreateSpecialistPool"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new SpecialistPoolServiceMethodDescriptorSupplier("CreateSpecialistPool"))
+                      .build();
+        }
+      }
+    }
+    return getCreateSpecialistPoolMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest,
+          com.google.cloud.aiplatform.v1.SpecialistPool>
+      getGetSpecialistPoolMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "GetSpecialistPool",
+      requestType = com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.SpecialistPool.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest,
+          com.google.cloud.aiplatform.v1.SpecialistPool>
+      getGetSpecialistPoolMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest,
+            com.google.cloud.aiplatform.v1.SpecialistPool>
+        getGetSpecialistPoolMethod;
+    if ((getGetSpecialistPoolMethod = SpecialistPoolServiceGrpc.getGetSpecialistPoolMethod)
+        == null) {
+      synchronized (SpecialistPoolServiceGrpc.class) {
+        if ((getGetSpecialistPoolMethod = SpecialistPoolServiceGrpc.getGetSpecialistPoolMethod)
+            == null) {
+          SpecialistPoolServiceGrpc.getGetSpecialistPoolMethod =
+              getGetSpecialistPoolMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest,
+                          com.google.cloud.aiplatform.v1.SpecialistPool>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(generateFullMethodName(SERVICE_NAME, "GetSpecialistPool"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new SpecialistPoolServiceMethodDescriptorSupplier("GetSpecialistPool"))
+                      .build();
+        }
+      }
+    }
+    return getGetSpecialistPoolMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest,
+          com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>
+      getListSpecialistPoolsMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "ListSpecialistPools",
+      requestType = com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest.class,
+      responseType = com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest,
+          com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>
+      getListSpecialistPoolsMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest,
+            com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>
+        getListSpecialistPoolsMethod;
+    if ((getListSpecialistPoolsMethod = SpecialistPoolServiceGrpc.getListSpecialistPoolsMethod)
+        == null) {
+      synchronized (SpecialistPoolServiceGrpc.class) {
+        if ((getListSpecialistPoolsMethod = SpecialistPoolServiceGrpc.getListSpecialistPoolsMethod)
+            == null) {
+          SpecialistPoolServiceGrpc.getListSpecialistPoolsMethod =
+              getListSpecialistPoolsMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest,
+                          com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "ListSpecialistPools"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse
+                                  .getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new SpecialistPoolServiceMethodDescriptorSupplier("ListSpecialistPools"))
+                      .build();
+        }
+      }
+    }
+    return getListSpecialistPoolsMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest,
+          com.google.longrunning.Operation>
+      getDeleteSpecialistPoolMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "DeleteSpecialistPool",
+      requestType = com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest,
+          com.google.longrunning.Operation>
+      getDeleteSpecialistPoolMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest,
+            com.google.longrunning.Operation>
+        getDeleteSpecialistPoolMethod;
+    if ((getDeleteSpecialistPoolMethod = SpecialistPoolServiceGrpc.getDeleteSpecialistPoolMethod)
+        == null) {
+      synchronized (SpecialistPoolServiceGrpc.class) {
+        if ((getDeleteSpecialistPoolMethod =
+                SpecialistPoolServiceGrpc.getDeleteSpecialistPoolMethod)
+            == null) {
+          SpecialistPoolServiceGrpc.getDeleteSpecialistPoolMethod =
+              getDeleteSpecialistPoolMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "DeleteSpecialistPool"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new SpecialistPoolServiceMethodDescriptorSupplier("DeleteSpecialistPool"))
+                      .build();
+        }
+      }
+    }
+    return getDeleteSpecialistPoolMethod;
+  }
+
+  private static volatile io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest,
+          com.google.longrunning.Operation>
+      getUpdateSpecialistPoolMethod;
+
+  @io.grpc.stub.annotations.RpcMethod(
+      fullMethodName = SERVICE_NAME + '/' + "UpdateSpecialistPool",
+      requestType = com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.class,
+      responseType = com.google.longrunning.Operation.class,
+      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
+  public static io.grpc.MethodDescriptor<
+          com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest,
+          com.google.longrunning.Operation>
+      getUpdateSpecialistPoolMethod() {
+    io.grpc.MethodDescriptor<
+            com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest,
+            com.google.longrunning.Operation>
+        getUpdateSpecialistPoolMethod;
+    if ((getUpdateSpecialistPoolMethod = SpecialistPoolServiceGrpc.getUpdateSpecialistPoolMethod)
+        == null) {
+      synchronized (SpecialistPoolServiceGrpc.class) {
+        if ((getUpdateSpecialistPoolMethod =
+                SpecialistPoolServiceGrpc.getUpdateSpecialistPoolMethod)
+            == null) {
+          SpecialistPoolServiceGrpc.getUpdateSpecialistPoolMethod =
+              getUpdateSpecialistPoolMethod =
+                  io.grpc.MethodDescriptor
+                      .<com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest,
+                          com.google.longrunning.Operation>
+                          newBuilder()
+                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
+                      .setFullMethodName(
+                          generateFullMethodName(SERVICE_NAME, "UpdateSpecialistPool"))
+                      .setSampledToLocalTracing(true)
+                      .setRequestMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest
+                                  .getDefaultInstance()))
+                      .setResponseMarshaller(
+                          io.grpc.protobuf.ProtoUtils.marshaller(
+                              com.google.longrunning.Operation.getDefaultInstance()))
+                      .setSchemaDescriptor(
+                          new SpecialistPoolServiceMethodDescriptorSupplier("UpdateSpecialistPool"))
+                      .build();
+        }
+      }
+    }
+    return getUpdateSpecialistPoolMethod;
+  }
+
+  /** Creates a new async stub that supports all call types for the service */
+  public static SpecialistPoolServiceStub newStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<SpecialistPoolServiceStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<SpecialistPoolServiceStub>() {
+          @java.lang.Override
+          public SpecialistPoolServiceStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new SpecialistPoolServiceStub(channel, callOptions);
+          }
+        };
+    return SpecialistPoolServiceStub.newStub(factory, channel);
+  }
+
+  /**
+   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
+   */
+  public static SpecialistPoolServiceBlockingStub newBlockingStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<SpecialistPoolServiceBlockingStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<SpecialistPoolServiceBlockingStub>() {
+          @java.lang.Override
+          public SpecialistPoolServiceBlockingStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new SpecialistPoolServiceBlockingStub(channel, callOptions);
+          }
+        };
+    return SpecialistPoolServiceBlockingStub.newStub(factory, channel);
+  }
+
+  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
+  public static SpecialistPoolServiceFutureStub newFutureStub(io.grpc.Channel channel) {
+    io.grpc.stub.AbstractStub.StubFactory<SpecialistPoolServiceFutureStub> factory =
+        new io.grpc.stub.AbstractStub.StubFactory<SpecialistPoolServiceFutureStub>() {
+          @java.lang.Override
+          public SpecialistPoolServiceFutureStub newStub(
+              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+            return new SpecialistPoolServiceFutureStub(channel, callOptions);
+          }
+        };
+    return SpecialistPoolServiceFutureStub.newStub(factory, channel);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing Customer SpecialistPools.
+   * When customers start Data Labeling jobs, they can reuse/create Specialist
+   * Pools to bring their own Specialists to label the data.
+   * Customers can add/remove Managers for the Specialist Pool on Cloud console,
+   * then Managers will get email notifications to manage Specialists and tasks on
+   * CrowdCompute console.
+   * </pre>
+   */
+  public abstract static class SpecialistPoolServiceImplBase implements io.grpc.BindableService {
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a SpecialistPool.
+     * </pre>
+     */
+    public void createSpecialistPool(
+        com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getCreateSpecialistPoolMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a SpecialistPool.
+     * </pre>
+     */
+    public void getSpecialistPool(
+        com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.SpecialistPool>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getGetSpecialistPoolMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists SpecialistPools in a Location.
+     * </pre>
+     */
+    public void listSpecialistPools(
+        com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>
+            responseObserver) {
+      asyncUnimplementedUnaryCall(getListSpecialistPoolsMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a SpecialistPool as well as all Specialists in the pool.
+     * </pre>
+     */
+    public void deleteSpecialistPool(
+        com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getDeleteSpecialistPoolMethod(), responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a SpecialistPool.
+     * </pre>
+     */
+    public void updateSpecialistPool(
+        com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnimplementedUnaryCall(getUpdateSpecialistPoolMethod(), responseObserver);
+    }
+
+    @java.lang.Override
+    public final io.grpc.ServerServiceDefinition bindService() {
+      return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
+          .addMethod(
+              getCreateSpecialistPoolMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest,
+                      com.google.longrunning.Operation>(this, METHODID_CREATE_SPECIALIST_POOL)))
+          .addMethod(
+              getGetSpecialistPoolMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest,
+                      com.google.cloud.aiplatform.v1.SpecialistPool>(
+                      this, METHODID_GET_SPECIALIST_POOL)))
+          .addMethod(
+              getListSpecialistPoolsMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest,
+                      com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>(
+                      this, METHODID_LIST_SPECIALIST_POOLS)))
+          .addMethod(
+              getDeleteSpecialistPoolMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest,
+                      com.google.longrunning.Operation>(this, METHODID_DELETE_SPECIALIST_POOL)))
+          .addMethod(
+              getUpdateSpecialistPoolMethod(),
+              asyncUnaryCall(
+                  new MethodHandlers<
+                      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest,
+                      com.google.longrunning.Operation>(this, METHODID_UPDATE_SPECIALIST_POOL)))
+          .build();
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing Customer SpecialistPools.
+   * When customers start Data Labeling jobs, they can reuse/create Specialist
+   * Pools to bring their own Specialists to label the data.
+   * Customers can add/remove Managers for the Specialist Pool on Cloud console,
+   * then Managers will get email notifications to manage Specialists and tasks on
+   * CrowdCompute console.
+   * </pre>
+   */
+  public static final class SpecialistPoolServiceStub
+      extends io.grpc.stub.AbstractAsyncStub<SpecialistPoolServiceStub> {
+    private SpecialistPoolServiceStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected SpecialistPoolServiceStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new SpecialistPoolServiceStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a SpecialistPool.
+     * </pre>
+     */
+    public void createSpecialistPool(
+        com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getCreateSpecialistPoolMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a SpecialistPool.
+     * </pre>
+     */
+    public void getSpecialistPool(
+        com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.SpecialistPool>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getGetSpecialistPoolMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists SpecialistPools in a Location.
+     * </pre>
+     */
+    public void listSpecialistPools(
+        com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest request,
+        io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>
+            responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getListSpecialistPoolsMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a SpecialistPool as well as all Specialists in the pool.
+     * </pre>
+     */
+    public void deleteSpecialistPool(
+        com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getDeleteSpecialistPoolMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a SpecialistPool.
+     * </pre>
+     */
+    public void updateSpecialistPool(
+        com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest request,
+        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
+      asyncUnaryCall(
+          getChannel().newCall(getUpdateSpecialistPoolMethod(), getCallOptions()),
+          request,
+          responseObserver);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing Customer SpecialistPools.
+   * When customers start Data Labeling jobs, they can reuse/create Specialist
+   * Pools to bring their own Specialists to label the data.
+   * Customers can add/remove Managers for the Specialist Pool on Cloud console,
+   * then Managers will get email notifications to manage Specialists and tasks on
+   * CrowdCompute console.
+   * </pre>
+   */
+  public static final class SpecialistPoolServiceBlockingStub
+      extends io.grpc.stub.AbstractBlockingStub<SpecialistPoolServiceBlockingStub> {
+    private SpecialistPoolServiceBlockingStub(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected SpecialistPoolServiceBlockingStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new SpecialistPoolServiceBlockingStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a SpecialistPool.
+     * </pre>
+     */
+    public com.google.longrunning.Operation createSpecialistPool(
+        com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getCreateSpecialistPoolMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a SpecialistPool.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPool(
+        com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getGetSpecialistPoolMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists SpecialistPools in a Location.
+     * </pre>
+     */
+    public com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse listSpecialistPools(
+        com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getListSpecialistPoolsMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a SpecialistPool as well as all Specialists in the pool.
+     * </pre>
+     */
+    public com.google.longrunning.Operation deleteSpecialistPool(
+        com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getDeleteSpecialistPoolMethod(), getCallOptions(), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a SpecialistPool.
+     * </pre>
+     */
+    public com.google.longrunning.Operation updateSpecialistPool(
+        com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest request) {
+      return blockingUnaryCall(
+          getChannel(), getUpdateSpecialistPoolMethod(), getCallOptions(), request);
+    }
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * A service for creating and managing Customer SpecialistPools.
+   * When customers start Data Labeling jobs, they can reuse/create Specialist
+   * Pools to bring their own Specialists to label the data.
+   * Customers can add/remove Managers for the Specialist Pool on Cloud console,
+   * then Managers will get email notifications to manage Specialists and tasks on
+   * CrowdCompute console.
+   * </pre>
+   */
+  public static final class SpecialistPoolServiceFutureStub
+      extends io.grpc.stub.AbstractFutureStub<SpecialistPoolServiceFutureStub> {
+    private SpecialistPoolServiceFutureStub(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      super(channel, callOptions);
+    }
+
+    @java.lang.Override
+    protected SpecialistPoolServiceFutureStub build(
+        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
+      return new SpecialistPoolServiceFutureStub(channel, callOptions);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Creates a SpecialistPool.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        createSpecialistPool(com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getCreateSpecialistPoolMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Gets a SpecialistPool.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.SpecialistPool>
+        getSpecialistPool(com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getGetSpecialistPoolMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Lists SpecialistPools in a Location.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<
+            com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>
+        listSpecialistPools(com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getListSpecialistPoolsMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Deletes a SpecialistPool as well as all Specialists in the pool.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        deleteSpecialistPool(com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getDeleteSpecialistPoolMethod(), getCallOptions()), request);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Updates a SpecialistPool.
+     * </pre>
+     */
+    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
+        updateSpecialistPool(com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest request) {
+      return futureUnaryCall(
+          getChannel().newCall(getUpdateSpecialistPoolMethod(), getCallOptions()), request);
+    }
+  }
+
+  private static final int METHODID_CREATE_SPECIALIST_POOL = 0;
+  private static final int METHODID_GET_SPECIALIST_POOL = 1;
+  private static final int METHODID_LIST_SPECIALIST_POOLS = 2;
+  private static final int METHODID_DELETE_SPECIALIST_POOL = 3;
+  private static final int METHODID_UPDATE_SPECIALIST_POOL = 4;
+
+  private static final class MethodHandlers<Req, Resp>
+      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
+          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
+    private final SpecialistPoolServiceImplBase serviceImpl;
+    private final int methodId;
+
+    MethodHandlers(SpecialistPoolServiceImplBase serviceImpl, int methodId) {
+      this.serviceImpl = serviceImpl;
+      this.methodId = methodId;
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        case METHODID_CREATE_SPECIALIST_POOL:
+          serviceImpl.createSpecialistPool(
+              (com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_GET_SPECIALIST_POOL:
+          serviceImpl.getSpecialistPool(
+              (com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.cloud.aiplatform.v1.SpecialistPool>)
+                  responseObserver);
+          break;
+        case METHODID_LIST_SPECIALIST_POOLS:
+          serviceImpl.listSpecialistPools(
+              (com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest) request,
+              (io.grpc.stub.StreamObserver<
+                      com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse>)
+                  responseObserver);
+          break;
+        case METHODID_DELETE_SPECIALIST_POOL:
+          serviceImpl.deleteSpecialistPool(
+              (com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        case METHODID_UPDATE_SPECIALIST_POOL:
+          serviceImpl.updateSpecialistPool(
+              (com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest) request,
+              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
+          break;
+        default:
+          throw new AssertionError();
+      }
+    }
+
+    @java.lang.Override
+    @java.lang.SuppressWarnings("unchecked")
+    public io.grpc.stub.StreamObserver<Req> invoke(
+        io.grpc.stub.StreamObserver<Resp> responseObserver) {
+      switch (methodId) {
+        default:
+          throw new AssertionError();
+      }
+    }
+  }
+
+  private abstract static class SpecialistPoolServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
+          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
+    SpecialistPoolServiceBaseDescriptorSupplier() {}
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto.getDescriptor();
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
+      return getFileDescriptor().findServiceByName("SpecialistPoolService");
+    }
+  }
+
+  private static final class SpecialistPoolServiceFileDescriptorSupplier
+      extends SpecialistPoolServiceBaseDescriptorSupplier {
+    SpecialistPoolServiceFileDescriptorSupplier() {}
+  }
+
+  private static final class SpecialistPoolServiceMethodDescriptorSupplier
+      extends SpecialistPoolServiceBaseDescriptorSupplier
+      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
+    private final String methodName;
+
+    SpecialistPoolServiceMethodDescriptorSupplier(String methodName) {
+      this.methodName = methodName;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
+      return getServiceDescriptor().findMethodByName(methodName);
+    }
+  }
+
+  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
+
+  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
+    io.grpc.ServiceDescriptor result = serviceDescriptor;
+    if (result == null) {
+      synchronized (SpecialistPoolServiceGrpc.class) {
+        result = serviceDescriptor;
+        if (result == null) {
+          serviceDescriptor =
+              result =
+                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
+                      .setSchemaDescriptor(new SpecialistPoolServiceFileDescriptorSupplier())
+                      .addMethod(getCreateSpecialistPoolMethod())
+                      .addMethod(getGetSpecialistPoolMethod())
+                      .addMethod(getListSpecialistPoolsMethod())
+                      .addMethod(getDeleteSpecialistPoolMethod())
+                      .addMethod(getUpdateSpecialistPoolMethod())
+                      .build();
+        }
+      }
+    }
+    return result;
+  }
+}
diff --git a/pom.xml b/pom.xml
index a4cd1ef96..4e99208dd 100644
--- a/pom.xml
+++ b/pom.xml
@@ -38,7 +38,7 @@
     <tag>HEAD</tag>
   </scm>
   <issueManagement>
-    <url>https://github.com/googleapis/java-/issues</url>
+    <url>https://github.com/googleapis/java-aiplatform/issues</url>
     <system>GitHub Issues</system>
   </issueManagement>
   <distributionManagement>
@@ -72,17 +72,26 @@
         <artifactId>google-cloud-aiplatform</artifactId>
         <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
       </dependency>
+      <dependency>
+        <groupId>com.google.api.grpc</groupId>
+        <artifactId>proto-google-cloud-aiplatform-v1</artifactId>
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
+      </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
         <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
+      <dependency>
+        <groupId>com.google.api.grpc</groupId>
+        <artifactId>grpc-google-cloud-aiplatform-v1</artifactId>
+        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
+      </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
         <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
-
       <dependency>
         <groupId>com.google.cloud</groupId>
         <artifactId>google-cloud-shared-dependencies</artifactId>
@@ -113,7 +122,9 @@
   <modules>
     <module>google-cloud-aiplatform</module>
     <module>proto-google-cloud-aiplatform-v1beta1</module>
+    <module>proto-google-cloud-aiplatform-v1</module>
     <module>grpc-google-cloud-aiplatform-v1beta1</module>
+    <module>grpc-google-cloud-aiplatform-v1</module>
     <module>google-cloud-aiplatform-bom</module>
   </modules>
 
@@ -186,4 +197,4 @@
       </plugin>
     </plugins>
   </reporting>
-</project>
\ No newline at end of file
+</project>
diff --git a/proto-google-cloud-aiplatform-v1/pom.xml b/proto-google-cloud-aiplatform-v1/pom.xml
new file mode 100644
index 000000000..cad013e5f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/pom.xml
@@ -0,0 +1,42 @@
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+  <groupId>com.google.api.grpc</groupId>
+  <artifactId>proto-google-cloud-aiplatform-v1</artifactId>
+  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
+  <name>proto-google-cloud-aiplatform-v1</name>
+  <description>Proto library for google-cloud-aiplatform</description>
+  <parent>
+    <groupId>com.google.cloud</groupId>
+    <artifactId>google-cloud-aiplatform-parent</artifactId>
+    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+  </parent>
+  <dependencies>
+    <dependency>
+      <groupId>com.google.protobuf</groupId>
+      <artifactId>protobuf-java</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>com.google.api.grpc</groupId>
+      <artifactId>proto-google-common-protos</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>com.google.api</groupId>
+      <artifactId>api-common</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>com.google.guava</groupId>
+      <artifactId>guava</artifactId>
+    </dependency>
+  </dependencies>
+
+  <build>
+    <plugins>
+      <plugin>
+        <groupId>org.codehaus.mojo</groupId>
+        <artifactId>flatten-maven-plugin</artifactId>
+      </plugin>
+    </plugins>
+  </build>
+</project>
\ No newline at end of file
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AcceleratorType.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AcceleratorType.java
new file mode 100644
index 000000000..e166dfd3d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AcceleratorType.java
@@ -0,0 +1,288 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/accelerator_type.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents a hardware accelerator type.
+ * </pre>
+ *
+ * Protobuf enum {@code google.cloud.aiplatform.v1.AcceleratorType}
+ */
+public enum AcceleratorType implements com.google.protobuf.ProtocolMessageEnum {
+  /**
+   *
+   *
+   * <pre>
+   * Unspecified accelerator type, which means no accelerator.
+   * </pre>
+   *
+   * <code>ACCELERATOR_TYPE_UNSPECIFIED = 0;</code>
+   */
+  ACCELERATOR_TYPE_UNSPECIFIED(0),
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla K80 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_K80 = 1;</code>
+   */
+  NVIDIA_TESLA_K80(1),
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla P100 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_P100 = 2;</code>
+   */
+  NVIDIA_TESLA_P100(2),
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla V100 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_V100 = 3;</code>
+   */
+  NVIDIA_TESLA_V100(3),
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla P4 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_P4 = 4;</code>
+   */
+  NVIDIA_TESLA_P4(4),
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla T4 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_T4 = 5;</code>
+   */
+  NVIDIA_TESLA_T4(5),
+  /**
+   *
+   *
+   * <pre>
+   * TPU v2.
+   * </pre>
+   *
+   * <code>TPU_V2 = 6;</code>
+   */
+  TPU_V2(6),
+  /**
+   *
+   *
+   * <pre>
+   * TPU v3.
+   * </pre>
+   *
+   * <code>TPU_V3 = 7;</code>
+   */
+  TPU_V3(7),
+  UNRECOGNIZED(-1),
+  ;
+
+  /**
+   *
+   *
+   * <pre>
+   * Unspecified accelerator type, which means no accelerator.
+   * </pre>
+   *
+   * <code>ACCELERATOR_TYPE_UNSPECIFIED = 0;</code>
+   */
+  public static final int ACCELERATOR_TYPE_UNSPECIFIED_VALUE = 0;
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla K80 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_K80 = 1;</code>
+   */
+  public static final int NVIDIA_TESLA_K80_VALUE = 1;
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla P100 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_P100 = 2;</code>
+   */
+  public static final int NVIDIA_TESLA_P100_VALUE = 2;
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla V100 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_V100 = 3;</code>
+   */
+  public static final int NVIDIA_TESLA_V100_VALUE = 3;
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla P4 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_P4 = 4;</code>
+   */
+  public static final int NVIDIA_TESLA_P4_VALUE = 4;
+  /**
+   *
+   *
+   * <pre>
+   * Nvidia Tesla T4 GPU.
+   * </pre>
+   *
+   * <code>NVIDIA_TESLA_T4 = 5;</code>
+   */
+  public static final int NVIDIA_TESLA_T4_VALUE = 5;
+  /**
+   *
+   *
+   * <pre>
+   * TPU v2.
+   * </pre>
+   *
+   * <code>TPU_V2 = 6;</code>
+   */
+  public static final int TPU_V2_VALUE = 6;
+  /**
+   *
+   *
+   * <pre>
+   * TPU v3.
+   * </pre>
+   *
+   * <code>TPU_V3 = 7;</code>
+   */
+  public static final int TPU_V3_VALUE = 7;
+
+  public final int getNumber() {
+    if (this == UNRECOGNIZED) {
+      throw new java.lang.IllegalArgumentException(
+          "Can't get the number of an unknown enum value.");
+    }
+    return value;
+  }
+
+  /**
+   * @param value The numeric wire value of the corresponding enum entry.
+   * @return The enum associated with the given numeric wire value.
+   * @deprecated Use {@link #forNumber(int)} instead.
+   */
+  @java.lang.Deprecated
+  public static AcceleratorType valueOf(int value) {
+    return forNumber(value);
+  }
+
+  /**
+   * @param value The numeric wire value of the corresponding enum entry.
+   * @return The enum associated with the given numeric wire value.
+   */
+  public static AcceleratorType forNumber(int value) {
+    switch (value) {
+      case 0:
+        return ACCELERATOR_TYPE_UNSPECIFIED;
+      case 1:
+        return NVIDIA_TESLA_K80;
+      case 2:
+        return NVIDIA_TESLA_P100;
+      case 3:
+        return NVIDIA_TESLA_V100;
+      case 4:
+        return NVIDIA_TESLA_P4;
+      case 5:
+        return NVIDIA_TESLA_T4;
+      case 6:
+        return TPU_V2;
+      case 7:
+        return TPU_V3;
+      default:
+        return null;
+    }
+  }
+
+  public static com.google.protobuf.Internal.EnumLiteMap<AcceleratorType> internalGetValueMap() {
+    return internalValueMap;
+  }
+
+  private static final com.google.protobuf.Internal.EnumLiteMap<AcceleratorType> internalValueMap =
+      new com.google.protobuf.Internal.EnumLiteMap<AcceleratorType>() {
+        public AcceleratorType findValueByNumber(int number) {
+          return AcceleratorType.forNumber(number);
+        }
+      };
+
+  public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+    if (this == UNRECOGNIZED) {
+      throw new java.lang.IllegalStateException(
+          "Can't get the descriptor of an unrecognized enum value.");
+    }
+    return getDescriptor().getValues().get(ordinal());
+  }
+
+  public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+    return getDescriptor();
+  }
+
+  public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.AcceleratorTypeProto.getDescriptor()
+        .getEnumTypes()
+        .get(0);
+  }
+
+  private static final AcceleratorType[] VALUES = values();
+
+  public static AcceleratorType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+    if (desc.getType() != getDescriptor()) {
+      throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+    }
+    if (desc.getIndex() == -1) {
+      return UNRECOGNIZED;
+    }
+    return VALUES[desc.getIndex()];
+  }
+
+  private final int value;
+
+  private AcceleratorType(int value) {
+    this.value = value;
+  }
+
+  // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.AcceleratorType)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AcceleratorTypeProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AcceleratorTypeProto.java
new file mode 100644
index 000000000..75c321f49
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AcceleratorTypeProto.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/accelerator_type.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class AcceleratorTypeProto {
+  private AcceleratorTypeProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n1google/cloud/aiplatform/v1/accelerator"
+          + "_type.proto\022\032google.cloud.aiplatform.v1\032"
+          + "\034google/api/annotations.proto*\271\001\n\017Accele"
+          + "ratorType\022 \n\034ACCELERATOR_TYPE_UNSPECIFIE"
+          + "D\020\000\022\024\n\020NVIDIA_TESLA_K80\020\001\022\025\n\021NVIDIA_TESL"
+          + "A_P100\020\002\022\025\n\021NVIDIA_TESLA_V100\020\003\022\023\n\017NVIDI"
+          + "A_TESLA_P4\020\004\022\023\n\017NVIDIA_TESLA_T4\020\005\022\n\n\006TPU"
+          + "_V2\020\006\022\n\n\006TPU_V3\020\007B~\n\036com.google.cloud.ai"
+          + "platform.v1B\024AcceleratorTypeProtoP\001ZDgoo"
+          + "gle.golang.org/genproto/googleapis/cloud"
+          + "/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ActiveLearningConfig.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ActiveLearningConfig.java
new file mode 100644
index 000000000..9aaef0687
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ActiveLearningConfig.java
@@ -0,0 +1,1339 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Parameters that configure the active learning pipeline. Active learning will
+ *  label the data incrementally by several iterations. For every iteration, it
+ *  will select a batch of data based on the sampling strategy.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ActiveLearningConfig}
+ */
+public final class ActiveLearningConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ActiveLearningConfig)
+    ActiveLearningConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ActiveLearningConfig.newBuilder() to construct.
+  private ActiveLearningConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ActiveLearningConfig() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ActiveLearningConfig();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ActiveLearningConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              humanLabelingBudgetCase_ = 1;
+              humanLabelingBudget_ = input.readInt64();
+              break;
+            }
+          case 16:
+            {
+              humanLabelingBudgetCase_ = 2;
+              humanLabelingBudget_ = input.readInt32();
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.aiplatform.v1.SampleConfig.Builder subBuilder = null;
+              if (sampleConfig_ != null) {
+                subBuilder = sampleConfig_.toBuilder();
+              }
+              sampleConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.SampleConfig.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(sampleConfig_);
+                sampleConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.aiplatform.v1.TrainingConfig.Builder subBuilder = null;
+              if (trainingConfig_ != null) {
+                subBuilder = trainingConfig_.toBuilder();
+              }
+              trainingConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.TrainingConfig.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(trainingConfig_);
+                trainingConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+        .internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+        .internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ActiveLearningConfig.class,
+            com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder.class);
+  }
+
+  private int humanLabelingBudgetCase_ = 0;
+  private java.lang.Object humanLabelingBudget_;
+
+  public enum HumanLabelingBudgetCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    MAX_DATA_ITEM_COUNT(1),
+    MAX_DATA_ITEM_PERCENTAGE(2),
+    HUMANLABELINGBUDGET_NOT_SET(0);
+    private final int value;
+
+    private HumanLabelingBudgetCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static HumanLabelingBudgetCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static HumanLabelingBudgetCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return MAX_DATA_ITEM_COUNT;
+        case 2:
+          return MAX_DATA_ITEM_PERCENTAGE;
+        case 0:
+          return HUMANLABELINGBUDGET_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public HumanLabelingBudgetCase getHumanLabelingBudgetCase() {
+    return HumanLabelingBudgetCase.forNumber(humanLabelingBudgetCase_);
+  }
+
+  public static final int MAX_DATA_ITEM_COUNT_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * <pre>
+   * Max number of human labeled DataItems.
+   * </pre>
+   *
+   * <code>int64 max_data_item_count = 1;</code>
+   *
+   * @return The maxDataItemCount.
+   */
+  @java.lang.Override
+  public long getMaxDataItemCount() {
+    if (humanLabelingBudgetCase_ == 1) {
+      return (java.lang.Long) humanLabelingBudget_;
+    }
+    return 0L;
+  }
+
+  public static final int MAX_DATA_ITEM_PERCENTAGE_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * <pre>
+   * Max percent of total DataItems for human labeling.
+   * </pre>
+   *
+   * <code>int32 max_data_item_percentage = 2;</code>
+   *
+   * @return The maxDataItemPercentage.
+   */
+  @java.lang.Override
+  public int getMaxDataItemPercentage() {
+    if (humanLabelingBudgetCase_ == 2) {
+      return (java.lang.Integer) humanLabelingBudget_;
+    }
+    return 0;
+  }
+
+  public static final int SAMPLE_CONFIG_FIELD_NUMBER = 3;
+  private com.google.cloud.aiplatform.v1.SampleConfig sampleConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * Active learning data sampling config. For every active learning labeling
+   * iteration, it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+   *
+   * @return Whether the sampleConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasSampleConfig() {
+    return sampleConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Active learning data sampling config. For every active learning labeling
+   * iteration, it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+   *
+   * @return The sampleConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SampleConfig getSampleConfig() {
+    return sampleConfig_ == null
+        ? com.google.cloud.aiplatform.v1.SampleConfig.getDefaultInstance()
+        : sampleConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Active learning data sampling config. For every active learning labeling
+   * iteration, it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SampleConfigOrBuilder getSampleConfigOrBuilder() {
+    return getSampleConfig();
+  }
+
+  public static final int TRAINING_CONFIG_FIELD_NUMBER = 4;
+  private com.google.cloud.aiplatform.v1.TrainingConfig trainingConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * CMLE training config. For every active learning labeling iteration, system
+   * will train a machine learning model on CMLE. The trained model will be used
+   * by data sampling algorithm to select DataItems.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+   *
+   * @return Whether the trainingConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasTrainingConfig() {
+    return trainingConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * CMLE training config. For every active learning labeling iteration, system
+   * will train a machine learning model on CMLE. The trained model will be used
+   * by data sampling algorithm to select DataItems.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+   *
+   * @return The trainingConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrainingConfig getTrainingConfig() {
+    return trainingConfig_ == null
+        ? com.google.cloud.aiplatform.v1.TrainingConfig.getDefaultInstance()
+        : trainingConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * CMLE training config. For every active learning labeling iteration, system
+   * will train a machine learning model on CMLE. The trained model will be used
+   * by data sampling algorithm to select DataItems.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrainingConfigOrBuilder getTrainingConfigOrBuilder() {
+    return getTrainingConfig();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (humanLabelingBudgetCase_ == 1) {
+      output.writeInt64(1, (long) ((java.lang.Long) humanLabelingBudget_));
+    }
+    if (humanLabelingBudgetCase_ == 2) {
+      output.writeInt32(2, (int) ((java.lang.Integer) humanLabelingBudget_));
+    }
+    if (sampleConfig_ != null) {
+      output.writeMessage(3, getSampleConfig());
+    }
+    if (trainingConfig_ != null) {
+      output.writeMessage(4, getTrainingConfig());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (humanLabelingBudgetCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeInt64Size(
+              1, (long) ((java.lang.Long) humanLabelingBudget_));
+    }
+    if (humanLabelingBudgetCase_ == 2) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeInt32Size(
+              2, (int) ((java.lang.Integer) humanLabelingBudget_));
+    }
+    if (sampleConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getSampleConfig());
+    }
+    if (trainingConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getTrainingConfig());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ActiveLearningConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ActiveLearningConfig other =
+        (com.google.cloud.aiplatform.v1.ActiveLearningConfig) obj;
+
+    if (hasSampleConfig() != other.hasSampleConfig()) return false;
+    if (hasSampleConfig()) {
+      if (!getSampleConfig().equals(other.getSampleConfig())) return false;
+    }
+    if (hasTrainingConfig() != other.hasTrainingConfig()) return false;
+    if (hasTrainingConfig()) {
+      if (!getTrainingConfig().equals(other.getTrainingConfig())) return false;
+    }
+    if (!getHumanLabelingBudgetCase().equals(other.getHumanLabelingBudgetCase())) return false;
+    switch (humanLabelingBudgetCase_) {
+      case 1:
+        if (getMaxDataItemCount() != other.getMaxDataItemCount()) return false;
+        break;
+      case 2:
+        if (getMaxDataItemPercentage() != other.getMaxDataItemPercentage()) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasSampleConfig()) {
+      hash = (37 * hash) + SAMPLE_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getSampleConfig().hashCode();
+    }
+    if (hasTrainingConfig()) {
+      hash = (37 * hash) + TRAINING_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getTrainingConfig().hashCode();
+    }
+    switch (humanLabelingBudgetCase_) {
+      case 1:
+        hash = (37 * hash) + MAX_DATA_ITEM_COUNT_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getMaxDataItemCount());
+        break;
+      case 2:
+        hash = (37 * hash) + MAX_DATA_ITEM_PERCENTAGE_FIELD_NUMBER;
+        hash = (53 * hash) + getMaxDataItemPercentage();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ActiveLearningConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure the active learning pipeline. Active learning will
+   *  label the data incrementally by several iterations. For every iteration, it
+   *  will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ActiveLearningConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ActiveLearningConfig)
+      com.google.cloud.aiplatform.v1.ActiveLearningConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ActiveLearningConfig.class,
+              com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ActiveLearningConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (sampleConfigBuilder_ == null) {
+        sampleConfig_ = null;
+      } else {
+        sampleConfig_ = null;
+        sampleConfigBuilder_ = null;
+      }
+      if (trainingConfigBuilder_ == null) {
+        trainingConfig_ = null;
+      } else {
+        trainingConfig_ = null;
+        trainingConfigBuilder_ = null;
+      }
+      humanLabelingBudgetCase_ = 0;
+      humanLabelingBudget_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ActiveLearningConfig getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ActiveLearningConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ActiveLearningConfig build() {
+      com.google.cloud.aiplatform.v1.ActiveLearningConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ActiveLearningConfig buildPartial() {
+      com.google.cloud.aiplatform.v1.ActiveLearningConfig result =
+          new com.google.cloud.aiplatform.v1.ActiveLearningConfig(this);
+      if (humanLabelingBudgetCase_ == 1) {
+        result.humanLabelingBudget_ = humanLabelingBudget_;
+      }
+      if (humanLabelingBudgetCase_ == 2) {
+        result.humanLabelingBudget_ = humanLabelingBudget_;
+      }
+      if (sampleConfigBuilder_ == null) {
+        result.sampleConfig_ = sampleConfig_;
+      } else {
+        result.sampleConfig_ = sampleConfigBuilder_.build();
+      }
+      if (trainingConfigBuilder_ == null) {
+        result.trainingConfig_ = trainingConfig_;
+      } else {
+        result.trainingConfig_ = trainingConfigBuilder_.build();
+      }
+      result.humanLabelingBudgetCase_ = humanLabelingBudgetCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ActiveLearningConfig) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ActiveLearningConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ActiveLearningConfig other) {
+      if (other == com.google.cloud.aiplatform.v1.ActiveLearningConfig.getDefaultInstance())
+        return this;
+      if (other.hasSampleConfig()) {
+        mergeSampleConfig(other.getSampleConfig());
+      }
+      if (other.hasTrainingConfig()) {
+        mergeTrainingConfig(other.getTrainingConfig());
+      }
+      switch (other.getHumanLabelingBudgetCase()) {
+        case MAX_DATA_ITEM_COUNT:
+          {
+            setMaxDataItemCount(other.getMaxDataItemCount());
+            break;
+          }
+        case MAX_DATA_ITEM_PERCENTAGE:
+          {
+            setMaxDataItemPercentage(other.getMaxDataItemPercentage());
+            break;
+          }
+        case HUMANLABELINGBUDGET_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ActiveLearningConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ActiveLearningConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int humanLabelingBudgetCase_ = 0;
+    private java.lang.Object humanLabelingBudget_;
+
+    public HumanLabelingBudgetCase getHumanLabelingBudgetCase() {
+      return HumanLabelingBudgetCase.forNumber(humanLabelingBudgetCase_);
+    }
+
+    public Builder clearHumanLabelingBudget() {
+      humanLabelingBudgetCase_ = 0;
+      humanLabelingBudget_ = null;
+      onChanged();
+      return this;
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Max number of human labeled DataItems.
+     * </pre>
+     *
+     * <code>int64 max_data_item_count = 1;</code>
+     *
+     * @return The maxDataItemCount.
+     */
+    public long getMaxDataItemCount() {
+      if (humanLabelingBudgetCase_ == 1) {
+        return (java.lang.Long) humanLabelingBudget_;
+      }
+      return 0L;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Max number of human labeled DataItems.
+     * </pre>
+     *
+     * <code>int64 max_data_item_count = 1;</code>
+     *
+     * @param value The maxDataItemCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxDataItemCount(long value) {
+      humanLabelingBudgetCase_ = 1;
+      humanLabelingBudget_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Max number of human labeled DataItems.
+     * </pre>
+     *
+     * <code>int64 max_data_item_count = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxDataItemCount() {
+      if (humanLabelingBudgetCase_ == 1) {
+        humanLabelingBudgetCase_ = 0;
+        humanLabelingBudget_ = null;
+        onChanged();
+      }
+      return this;
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Max percent of total DataItems for human labeling.
+     * </pre>
+     *
+     * <code>int32 max_data_item_percentage = 2;</code>
+     *
+     * @return The maxDataItemPercentage.
+     */
+    public int getMaxDataItemPercentage() {
+      if (humanLabelingBudgetCase_ == 2) {
+        return (java.lang.Integer) humanLabelingBudget_;
+      }
+      return 0;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Max percent of total DataItems for human labeling.
+     * </pre>
+     *
+     * <code>int32 max_data_item_percentage = 2;</code>
+     *
+     * @param value The maxDataItemPercentage to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxDataItemPercentage(int value) {
+      humanLabelingBudgetCase_ = 2;
+      humanLabelingBudget_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Max percent of total DataItems for human labeling.
+     * </pre>
+     *
+     * <code>int32 max_data_item_percentage = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxDataItemPercentage() {
+      if (humanLabelingBudgetCase_ == 2) {
+        humanLabelingBudgetCase_ = 0;
+        humanLabelingBudget_ = null;
+        onChanged();
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.SampleConfig sampleConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SampleConfig,
+            com.google.cloud.aiplatform.v1.SampleConfig.Builder,
+            com.google.cloud.aiplatform.v1.SampleConfigOrBuilder>
+        sampleConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     *
+     * @return Whether the sampleConfig field is set.
+     */
+    public boolean hasSampleConfig() {
+      return sampleConfigBuilder_ != null || sampleConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     *
+     * @return The sampleConfig.
+     */
+    public com.google.cloud.aiplatform.v1.SampleConfig getSampleConfig() {
+      if (sampleConfigBuilder_ == null) {
+        return sampleConfig_ == null
+            ? com.google.cloud.aiplatform.v1.SampleConfig.getDefaultInstance()
+            : sampleConfig_;
+      } else {
+        return sampleConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     */
+    public Builder setSampleConfig(com.google.cloud.aiplatform.v1.SampleConfig value) {
+      if (sampleConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        sampleConfig_ = value;
+        onChanged();
+      } else {
+        sampleConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     */
+    public Builder setSampleConfig(
+        com.google.cloud.aiplatform.v1.SampleConfig.Builder builderForValue) {
+      if (sampleConfigBuilder_ == null) {
+        sampleConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        sampleConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     */
+    public Builder mergeSampleConfig(com.google.cloud.aiplatform.v1.SampleConfig value) {
+      if (sampleConfigBuilder_ == null) {
+        if (sampleConfig_ != null) {
+          sampleConfig_ =
+              com.google.cloud.aiplatform.v1.SampleConfig.newBuilder(sampleConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          sampleConfig_ = value;
+        }
+        onChanged();
+      } else {
+        sampleConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     */
+    public Builder clearSampleConfig() {
+      if (sampleConfigBuilder_ == null) {
+        sampleConfig_ = null;
+        onChanged();
+      } else {
+        sampleConfig_ = null;
+        sampleConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.SampleConfig.Builder getSampleConfigBuilder() {
+
+      onChanged();
+      return getSampleConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.SampleConfigOrBuilder getSampleConfigOrBuilder() {
+      if (sampleConfigBuilder_ != null) {
+        return sampleConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return sampleConfig_ == null
+            ? com.google.cloud.aiplatform.v1.SampleConfig.getDefaultInstance()
+            : sampleConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Active learning data sampling config. For every active learning labeling
+     * iteration, it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SampleConfig,
+            com.google.cloud.aiplatform.v1.SampleConfig.Builder,
+            com.google.cloud.aiplatform.v1.SampleConfigOrBuilder>
+        getSampleConfigFieldBuilder() {
+      if (sampleConfigBuilder_ == null) {
+        sampleConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.SampleConfig,
+                com.google.cloud.aiplatform.v1.SampleConfig.Builder,
+                com.google.cloud.aiplatform.v1.SampleConfigOrBuilder>(
+                getSampleConfig(), getParentForChildren(), isClean());
+        sampleConfig_ = null;
+      }
+      return sampleConfigBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.TrainingConfig trainingConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.TrainingConfig,
+            com.google.cloud.aiplatform.v1.TrainingConfig.Builder,
+            com.google.cloud.aiplatform.v1.TrainingConfigOrBuilder>
+        trainingConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     *
+     * @return Whether the trainingConfig field is set.
+     */
+    public boolean hasTrainingConfig() {
+      return trainingConfigBuilder_ != null || trainingConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     *
+     * @return The trainingConfig.
+     */
+    public com.google.cloud.aiplatform.v1.TrainingConfig getTrainingConfig() {
+      if (trainingConfigBuilder_ == null) {
+        return trainingConfig_ == null
+            ? com.google.cloud.aiplatform.v1.TrainingConfig.getDefaultInstance()
+            : trainingConfig_;
+      } else {
+        return trainingConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     */
+    public Builder setTrainingConfig(com.google.cloud.aiplatform.v1.TrainingConfig value) {
+      if (trainingConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        trainingConfig_ = value;
+        onChanged();
+      } else {
+        trainingConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     */
+    public Builder setTrainingConfig(
+        com.google.cloud.aiplatform.v1.TrainingConfig.Builder builderForValue) {
+      if (trainingConfigBuilder_ == null) {
+        trainingConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        trainingConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     */
+    public Builder mergeTrainingConfig(com.google.cloud.aiplatform.v1.TrainingConfig value) {
+      if (trainingConfigBuilder_ == null) {
+        if (trainingConfig_ != null) {
+          trainingConfig_ =
+              com.google.cloud.aiplatform.v1.TrainingConfig.newBuilder(trainingConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          trainingConfig_ = value;
+        }
+        onChanged();
+      } else {
+        trainingConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     */
+    public Builder clearTrainingConfig() {
+      if (trainingConfigBuilder_ == null) {
+        trainingConfig_ = null;
+        onChanged();
+      } else {
+        trainingConfig_ = null;
+        trainingConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingConfig.Builder getTrainingConfigBuilder() {
+
+      onChanged();
+      return getTrainingConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingConfigOrBuilder getTrainingConfigOrBuilder() {
+      if (trainingConfigBuilder_ != null) {
+        return trainingConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return trainingConfig_ == null
+            ? com.google.cloud.aiplatform.v1.TrainingConfig.getDefaultInstance()
+            : trainingConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * CMLE training config. For every active learning labeling iteration, system
+     * will train a machine learning model on CMLE. The trained model will be used
+     * by data sampling algorithm to select DataItems.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.TrainingConfig,
+            com.google.cloud.aiplatform.v1.TrainingConfig.Builder,
+            com.google.cloud.aiplatform.v1.TrainingConfigOrBuilder>
+        getTrainingConfigFieldBuilder() {
+      if (trainingConfigBuilder_ == null) {
+        trainingConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.TrainingConfig,
+                com.google.cloud.aiplatform.v1.TrainingConfig.Builder,
+                com.google.cloud.aiplatform.v1.TrainingConfigOrBuilder>(
+                getTrainingConfig(), getParentForChildren(), isClean());
+        trainingConfig_ = null;
+      }
+      return trainingConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ActiveLearningConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ActiveLearningConfig)
+  private static final com.google.cloud.aiplatform.v1.ActiveLearningConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ActiveLearningConfig();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ActiveLearningConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ActiveLearningConfig> PARSER =
+      new com.google.protobuf.AbstractParser<ActiveLearningConfig>() {
+        @java.lang.Override
+        public ActiveLearningConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ActiveLearningConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ActiveLearningConfig> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ActiveLearningConfig> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ActiveLearningConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ActiveLearningConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ActiveLearningConfigOrBuilder.java
new file mode 100644
index 000000000..6ec2924d5
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ActiveLearningConfigOrBuilder.java
@@ -0,0 +1,133 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ActiveLearningConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ActiveLearningConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Max number of human labeled DataItems.
+   * </pre>
+   *
+   * <code>int64 max_data_item_count = 1;</code>
+   *
+   * @return The maxDataItemCount.
+   */
+  long getMaxDataItemCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Max percent of total DataItems for human labeling.
+   * </pre>
+   *
+   * <code>int32 max_data_item_percentage = 2;</code>
+   *
+   * @return The maxDataItemPercentage.
+   */
+  int getMaxDataItemPercentage();
+
+  /**
+   *
+   *
+   * <pre>
+   * Active learning data sampling config. For every active learning labeling
+   * iteration, it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+   *
+   * @return Whether the sampleConfig field is set.
+   */
+  boolean hasSampleConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Active learning data sampling config. For every active learning labeling
+   * iteration, it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+   *
+   * @return The sampleConfig.
+   */
+  com.google.cloud.aiplatform.v1.SampleConfig getSampleConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Active learning data sampling config. For every active learning labeling
+   * iteration, it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;</code>
+   */
+  com.google.cloud.aiplatform.v1.SampleConfigOrBuilder getSampleConfigOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * CMLE training config. For every active learning labeling iteration, system
+   * will train a machine learning model on CMLE. The trained model will be used
+   * by data sampling algorithm to select DataItems.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+   *
+   * @return Whether the trainingConfig field is set.
+   */
+  boolean hasTrainingConfig();
+  /**
+   *
+   *
+   * <pre>
+   * CMLE training config. For every active learning labeling iteration, system
+   * will train a machine learning model on CMLE. The trained model will be used
+   * by data sampling algorithm to select DataItems.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+   *
+   * @return The trainingConfig.
+   */
+  com.google.cloud.aiplatform.v1.TrainingConfig getTrainingConfig();
+  /**
+   *
+   *
+   * <pre>
+   * CMLE training config. For every active learning labeling iteration, system
+   * will train a machine learning model on CMLE. The trained model will be used
+   * by data sampling algorithm to select DataItems.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;</code>
+   */
+  com.google.cloud.aiplatform.v1.TrainingConfigOrBuilder getTrainingConfigOrBuilder();
+
+  public com.google.cloud.aiplatform.v1.ActiveLearningConfig.HumanLabelingBudgetCase
+      getHumanLabelingBudgetCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotatedDatasetName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotatedDatasetName.java
new file mode 100644
index 000000000..8e18374dd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotatedDatasetName.java
@@ -0,0 +1,227 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class AnnotatedDatasetName implements ResourceName {
+  private static final PathTemplate PROJECT_DATASET_ANNOTATED_DATASET =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String dataset;
+  private final String annotatedDataset;
+
+  @Deprecated
+  protected AnnotatedDatasetName() {
+    project = null;
+    dataset = null;
+    annotatedDataset = null;
+  }
+
+  private AnnotatedDatasetName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    dataset = Preconditions.checkNotNull(builder.getDataset());
+    annotatedDataset = Preconditions.checkNotNull(builder.getAnnotatedDataset());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getDataset() {
+    return dataset;
+  }
+
+  public String getAnnotatedDataset() {
+    return annotatedDataset;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static AnnotatedDatasetName of(String project, String dataset, String annotatedDataset) {
+    return newBuilder()
+        .setProject(project)
+        .setDataset(dataset)
+        .setAnnotatedDataset(annotatedDataset)
+        .build();
+  }
+
+  public static String format(String project, String dataset, String annotatedDataset) {
+    return newBuilder()
+        .setProject(project)
+        .setDataset(dataset)
+        .setAnnotatedDataset(annotatedDataset)
+        .build()
+        .toString();
+  }
+
+  public static AnnotatedDatasetName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_DATASET_ANNOTATED_DATASET.validatedMatch(
+            formattedString, "AnnotatedDatasetName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("dataset"), matchMap.get("annotated_dataset"));
+  }
+
+  public static List<AnnotatedDatasetName> parseList(List<String> formattedStrings) {
+    List<AnnotatedDatasetName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<AnnotatedDatasetName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (AnnotatedDatasetName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_DATASET_ANNOTATED_DATASET.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (dataset != null) {
+            fieldMapBuilder.put("dataset", dataset);
+          }
+          if (annotatedDataset != null) {
+            fieldMapBuilder.put("annotated_dataset", annotatedDataset);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_DATASET_ANNOTATED_DATASET.instantiate(
+        "project", project, "dataset", dataset, "annotated_dataset", annotatedDataset);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      AnnotatedDatasetName that = ((AnnotatedDatasetName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.dataset, that.dataset)
+          && Objects.equals(this.annotatedDataset, that.annotatedDataset);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(dataset);
+    h *= 1000003;
+    h ^= Objects.hashCode(annotatedDataset);
+    return h;
+  }
+
+  /** Builder for projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}. */
+  public static class Builder {
+    private String project;
+    private String dataset;
+    private String annotatedDataset;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getDataset() {
+      return dataset;
+    }
+
+    public String getAnnotatedDataset() {
+      return annotatedDataset;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setDataset(String dataset) {
+      this.dataset = dataset;
+      return this;
+    }
+
+    public Builder setAnnotatedDataset(String annotatedDataset) {
+      this.annotatedDataset = annotatedDataset;
+      return this;
+    }
+
+    private Builder(AnnotatedDatasetName annotatedDatasetName) {
+      project = annotatedDatasetName.project;
+      dataset = annotatedDatasetName.dataset;
+      annotatedDataset = annotatedDatasetName.annotatedDataset;
+    }
+
+    public AnnotatedDatasetName build() {
+      return new AnnotatedDatasetName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Annotation.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Annotation.java
new file mode 100644
index 000000000..b5f8ae868
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Annotation.java
@@ -0,0 +1,2690 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/annotation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Used to assign specific AnnotationSpec to a particular area of a DataItem or
+ * the whole part of the DataItem.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.Annotation}
+ */
+public final class Annotation extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Annotation)
+    AnnotationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Annotation.newBuilder() to construct.
+  private Annotation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private Annotation() {
+    name_ = "";
+    payloadSchemaUri_ = "";
+    etag_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new Annotation();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Annotation(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              payloadSchemaUri_ = s;
+              break;
+            }
+          case 26:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (payload_ != null) {
+                subBuilder = payload_.toBuilder();
+              }
+              payload_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(payload_);
+                payload_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 34:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              com.google.cloud.aiplatform.v1.UserActionReference.Builder subBuilder = null;
+              if (annotationSource_ != null) {
+                subBuilder = annotationSource_.toBuilder();
+              }
+              annotationSource_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.UserActionReference.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(annotationSource_);
+                annotationSource_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 58:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 66:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              etag_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.AnnotationProto
+        .internal_static_google_cloud_aiplatform_v1_Annotation_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 6:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.AnnotationProto
+        .internal_static_google_cloud_aiplatform_v1_Annotation_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.Annotation.class,
+            com.google.cloud.aiplatform.v1.Annotation.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the Annotation.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the Annotation.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PAYLOAD_SCHEMA_URI_FIELD_NUMBER = 2;
+  private volatile java.lang.Object payloadSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+   * schema is defined as an
+   * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * chosen schema must be consistent with the parent Dataset's
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+   * </pre>
+   *
+   * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The payloadSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getPayloadSchemaUri() {
+    java.lang.Object ref = payloadSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      payloadSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+   * schema is defined as an
+   * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * chosen schema must be consistent with the parent Dataset's
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+   * </pre>
+   *
+   * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for payloadSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getPayloadSchemaUriBytes() {
+    java.lang.Object ref = payloadSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      payloadSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PAYLOAD_FIELD_NUMBER = 3;
+  private com.google.protobuf.Value payload_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The schema of the payload can be found in
+   * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return Whether the payload field is set.
+   */
+  @java.lang.Override
+  public boolean hasPayload() {
+    return payload_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The schema of the payload can be found in
+   * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The payload.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getPayload() {
+    return payload_ == null ? com.google.protobuf.Value.getDefaultInstance() : payload_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The schema of the payload can be found in
+   * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
+    return getPayload();
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 4;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 7;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int ETAG_FIELD_NUMBER = 8;
+  private volatile java.lang.Object etag_;
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The etag.
+   */
+  @java.lang.Override
+  public java.lang.String getEtag() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      etag_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The bytes for etag.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEtagBytes() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      etag_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int ANNOTATION_SOURCE_FIELD_NUMBER = 5;
+  private com.google.cloud.aiplatform.v1.UserActionReference annotationSource_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The source of the Annotation.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the annotationSource field is set.
+   */
+  @java.lang.Override
+  public boolean hasAnnotationSource() {
+    return annotationSource_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The source of the Annotation.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The annotationSource.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UserActionReference getAnnotationSource() {
+    return annotationSource_ == null
+        ? com.google.cloud.aiplatform.v1.UserActionReference.getDefaultInstance()
+        : annotationSource_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The source of the Annotation.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UserActionReferenceOrBuilder
+      getAnnotationSourceOrBuilder() {
+    return getAnnotationSource();
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 6;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.AnnotationProto
+                .internal_static_google_cloud_aiplatform_v1_Annotation_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Annotation:
+   * * "aiplatform.googleapis.com/annotation_set_name":
+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
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+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
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+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
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+   * See https://goo.gl/xmQnxf for more information and examples of labels.
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+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
+   * </pre>
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+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Annotation:
+   * * "aiplatform.googleapis.com/annotation_set_name":
+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
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+   *
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+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
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+   * See https://goo.gl/xmQnxf for more information and examples of labels.
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+   * and are immutable. Following system labels exist for each Annotation:
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+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
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+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the Annotation.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the Annotation.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object payloadSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+     * schema is defined as an
+     * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * chosen schema must be consistent with the parent Dataset's
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+     * </pre>
+     *
+     * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The payloadSchemaUri.
+     */
+    public java.lang.String getPayloadSchemaUri() {
+      java.lang.Object ref = payloadSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        payloadSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+     * schema is defined as an
+     * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * chosen schema must be consistent with the parent Dataset's
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+     * </pre>
+     *
+     * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for payloadSchemaUri.
+     */
+    public com.google.protobuf.ByteString getPayloadSchemaUriBytes() {
+      java.lang.Object ref = payloadSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        payloadSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+     * schema is defined as an
+     * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * chosen schema must be consistent with the parent Dataset's
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+     * </pre>
+     *
+     * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The payloadSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPayloadSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      payloadSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+     * schema is defined as an
+     * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * chosen schema must be consistent with the parent Dataset's
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+     * </pre>
+     *
+     * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPayloadSchemaUri() {
+
+      payloadSchemaUri_ = getDefaultInstance().getPayloadSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+     * schema is defined as an
+     * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * chosen schema must be consistent with the parent Dataset's
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+     * </pre>
+     *
+     * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for payloadSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPayloadSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      payloadSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Value payload_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        payloadBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return Whether the payload field is set.
+     */
+    public boolean hasPayload() {
+      return payloadBuilder_ != null || payload_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The payload.
+     */
+    public com.google.protobuf.Value getPayload() {
+      if (payloadBuilder_ == null) {
+        return payload_ == null ? com.google.protobuf.Value.getDefaultInstance() : payload_;
+      } else {
+        return payloadBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder setPayload(com.google.protobuf.Value value) {
+      if (payloadBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        payload_ = value;
+        onChanged();
+      } else {
+        payloadBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder setPayload(com.google.protobuf.Value.Builder builderForValue) {
+      if (payloadBuilder_ == null) {
+        payload_ = builderForValue.build();
+        onChanged();
+      } else {
+        payloadBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder mergePayload(com.google.protobuf.Value value) {
+      if (payloadBuilder_ == null) {
+        if (payload_ != null) {
+          payload_ = com.google.protobuf.Value.newBuilder(payload_).mergeFrom(value).buildPartial();
+        } else {
+          payload_ = value;
+        }
+        onChanged();
+      } else {
+        payloadBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder clearPayload() {
+      if (payloadBuilder_ == null) {
+        payload_ = null;
+        onChanged();
+      } else {
+        payload_ = null;
+        payloadBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public com.google.protobuf.Value.Builder getPayloadBuilder() {
+
+      onChanged();
+      return getPayloadFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
+      if (payloadBuilder_ != null) {
+        return payloadBuilder_.getMessageOrBuilder();
+      } else {
+        return payload_ == null ? com.google.protobuf.Value.getDefaultInstance() : payload_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The schema of the payload can be found in
+     * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getPayloadFieldBuilder() {
+      if (payloadBuilder_ == null) {
+        payloadBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getPayload(), getParentForChildren(), isClean());
+        payload_ = null;
+      }
+      return payloadBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Annotation was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private java.lang.Object etag_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The etag.
+     */
+    public java.lang.String getEtag() {
+      java.lang.Object ref = etag_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        etag_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for etag.
+     */
+    public com.google.protobuf.ByteString getEtagBytes() {
+      java.lang.Object ref = etag_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        etag_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtag(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEtag() {
+
+      etag_ = getDefaultInstance().getEtag();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The bytes for etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtagBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.UserActionReference annotationSource_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.UserActionReference,
+            com.google.cloud.aiplatform.v1.UserActionReference.Builder,
+            com.google.cloud.aiplatform.v1.UserActionReferenceOrBuilder>
+        annotationSourceBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the annotationSource field is set.
+     */
+    public boolean hasAnnotationSource() {
+      return annotationSourceBuilder_ != null || annotationSource_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The annotationSource.
+     */
+    public com.google.cloud.aiplatform.v1.UserActionReference getAnnotationSource() {
+      if (annotationSourceBuilder_ == null) {
+        return annotationSource_ == null
+            ? com.google.cloud.aiplatform.v1.UserActionReference.getDefaultInstance()
+            : annotationSource_;
+      } else {
+        return annotationSourceBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setAnnotationSource(com.google.cloud.aiplatform.v1.UserActionReference value) {
+      if (annotationSourceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        annotationSource_ = value;
+        onChanged();
+      } else {
+        annotationSourceBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setAnnotationSource(
+        com.google.cloud.aiplatform.v1.UserActionReference.Builder builderForValue) {
+      if (annotationSourceBuilder_ == null) {
+        annotationSource_ = builderForValue.build();
+        onChanged();
+      } else {
+        annotationSourceBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeAnnotationSource(com.google.cloud.aiplatform.v1.UserActionReference value) {
+      if (annotationSourceBuilder_ == null) {
+        if (annotationSource_ != null) {
+          annotationSource_ =
+              com.google.cloud.aiplatform.v1.UserActionReference.newBuilder(annotationSource_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          annotationSource_ = value;
+        }
+        onChanged();
+      } else {
+        annotationSourceBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearAnnotationSource() {
+      if (annotationSourceBuilder_ == null) {
+        annotationSource_ = null;
+        onChanged();
+      } else {
+        annotationSource_ = null;
+        annotationSourceBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.UserActionReference.Builder getAnnotationSourceBuilder() {
+
+      onChanged();
+      return getAnnotationSourceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.UserActionReferenceOrBuilder
+        getAnnotationSourceOrBuilder() {
+      if (annotationSourceBuilder_ != null) {
+        return annotationSourceBuilder_.getMessageOrBuilder();
+      } else {
+        return annotationSource_ == null
+            ? com.google.cloud.aiplatform.v1.UserActionReference.getDefaultInstance()
+            : annotationSource_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The source of the Annotation.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.UserActionReference,
+            com.google.cloud.aiplatform.v1.UserActionReference.Builder,
+            com.google.cloud.aiplatform.v1.UserActionReferenceOrBuilder>
+        getAnnotationSourceFieldBuilder() {
+      if (annotationSourceBuilder_ == null) {
+        annotationSourceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.UserActionReference,
+                com.google.cloud.aiplatform.v1.UserActionReference.Builder,
+                com.google.cloud.aiplatform.v1.UserActionReferenceOrBuilder>(
+                getAnnotationSource(), getParentForChildren(), isClean());
+        annotationSource_ = null;
+      }
+      return annotationSourceBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Annotation(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Annotation:
+     * * "aiplatform.googleapis.com/annotation_set_name":
+     *   optional, name of the UI's annotation set this Annotation belongs to.
+     *   If not set, the Annotation is not visible in the UI.
+     * * "aiplatform.googleapis.com/payload_schema":
+     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Annotation(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Annotation:
+     * * "aiplatform.googleapis.com/annotation_set_name":
+     *   optional, name of the UI's annotation set this Annotation belongs to.
+     *   If not set, the Annotation is not visible in the UI.
+     * * "aiplatform.googleapis.com/payload_schema":
+     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Annotation(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Annotation:
+     * * "aiplatform.googleapis.com/annotation_set_name":
+     *   optional, name of the UI's annotation set this Annotation belongs to.
+     *   If not set, the Annotation is not visible in the UI.
+     * * "aiplatform.googleapis.com/payload_schema":
+     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Annotation(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Annotation:
+     * * "aiplatform.googleapis.com/annotation_set_name":
+     *   optional, name of the UI's annotation set this Annotation belongs to.
+     *   If not set, the Annotation is not visible in the UI.
+     * * "aiplatform.googleapis.com/payload_schema":
+     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Annotation(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Annotation:
+     * * "aiplatform.googleapis.com/annotation_set_name":
+     *   optional, name of the UI's annotation set this Annotation belongs to.
+     *   If not set, the Annotation is not visible in the UI.
+     * * "aiplatform.googleapis.com/payload_schema":
+     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Annotation(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Annotation:
+     * * "aiplatform.googleapis.com/annotation_set_name":
+     *   optional, name of the UI's annotation set this Annotation belongs to.
+     *   If not set, the Annotation is not visible in the UI.
+     * * "aiplatform.googleapis.com/payload_schema":
+     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your Annotations.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Annotation(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Annotation:
+     * * "aiplatform.googleapis.com/annotation_set_name":
+     *   optional, name of the UI's annotation set this Annotation belongs to.
+     *   If not set, the Annotation is not visible in the UI.
+     * * "aiplatform.googleapis.com/payload_schema":
+     *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+     *   title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Annotation)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Annotation)
+  private static final com.google.cloud.aiplatform.v1.Annotation DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Annotation();
+  }
+
+  public static com.google.cloud.aiplatform.v1.Annotation getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<Annotation> PARSER =
+      new com.google.protobuf.AbstractParser<Annotation>() {
+        @java.lang.Override
+        public Annotation parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Annotation(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<Annotation> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<Annotation> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Annotation getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationName.java
new file mode 100644
index 000000000..c24568455
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationName.java
@@ -0,0 +1,298 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class AnnotationName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_DATASET_DATA_ITEM_ANNOTATION =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}/annotations/{annotation}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String dataset;
+  private final String dataItem;
+  private final String annotation;
+
+  @Deprecated
+  protected AnnotationName() {
+    project = null;
+    location = null;
+    dataset = null;
+    dataItem = null;
+    annotation = null;
+  }
+
+  private AnnotationName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    dataset = Preconditions.checkNotNull(builder.getDataset());
+    dataItem = Preconditions.checkNotNull(builder.getDataItem());
+    annotation = Preconditions.checkNotNull(builder.getAnnotation());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getDataset() {
+    return dataset;
+  }
+
+  public String getDataItem() {
+    return dataItem;
+  }
+
+  public String getAnnotation() {
+    return annotation;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static AnnotationName of(
+      String project, String location, String dataset, String dataItem, String annotation) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataset(dataset)
+        .setDataItem(dataItem)
+        .setAnnotation(annotation)
+        .build();
+  }
+
+  public static String format(
+      String project, String location, String dataset, String dataItem, String annotation) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataset(dataset)
+        .setDataItem(dataItem)
+        .setAnnotation(annotation)
+        .build()
+        .toString();
+  }
+
+  public static AnnotationName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_DATASET_DATA_ITEM_ANNOTATION.validatedMatch(
+            formattedString, "AnnotationName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("dataset"),
+        matchMap.get("data_item"),
+        matchMap.get("annotation"));
+  }
+
+  public static List<AnnotationName> parseList(List<String> formattedStrings) {
+    List<AnnotationName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<AnnotationName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (AnnotationName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_DATASET_DATA_ITEM_ANNOTATION.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (dataset != null) {
+            fieldMapBuilder.put("dataset", dataset);
+          }
+          if (dataItem != null) {
+            fieldMapBuilder.put("data_item", dataItem);
+          }
+          if (annotation != null) {
+            fieldMapBuilder.put("annotation", annotation);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_DATASET_DATA_ITEM_ANNOTATION.instantiate(
+        "project",
+        project,
+        "location",
+        location,
+        "dataset",
+        dataset,
+        "data_item",
+        dataItem,
+        "annotation",
+        annotation);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      AnnotationName that = ((AnnotationName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.dataset, that.dataset)
+          && Objects.equals(this.dataItem, that.dataItem)
+          && Objects.equals(this.annotation, that.annotation);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(dataset);
+    h *= 1000003;
+    h ^= Objects.hashCode(dataItem);
+    h *= 1000003;
+    h ^= Objects.hashCode(annotation);
+    return h;
+  }
+
+  /**
+   * Builder for
+   * projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}/annotations/{annotation}.
+   */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String dataset;
+    private String dataItem;
+    private String annotation;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getDataset() {
+      return dataset;
+    }
+
+    public String getDataItem() {
+      return dataItem;
+    }
+
+    public String getAnnotation() {
+      return annotation;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setDataset(String dataset) {
+      this.dataset = dataset;
+      return this;
+    }
+
+    public Builder setDataItem(String dataItem) {
+      this.dataItem = dataItem;
+      return this;
+    }
+
+    public Builder setAnnotation(String annotation) {
+      this.annotation = annotation;
+      return this;
+    }
+
+    private Builder(AnnotationName annotationName) {
+      project = annotationName.project;
+      location = annotationName.location;
+      dataset = annotationName.dataset;
+      dataItem = annotationName.dataItem;
+      annotation = annotationName.annotation;
+    }
+
+    public AnnotationName build() {
+      return new AnnotationName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationOrBuilder.java
new file mode 100644
index 000000000..0429440b6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationOrBuilder.java
@@ -0,0 +1,393 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/annotation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface AnnotationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Annotation)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the Annotation.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the Annotation.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+   * schema is defined as an
+   * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * chosen schema must be consistent with the parent Dataset's
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+   * </pre>
+   *
+   * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The payloadSchemaUri.
+   */
+  java.lang.String getPayloadSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+   * schema is defined as an
+   * [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * chosen schema must be consistent with the parent Dataset's
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+   * </pre>
+   *
+   * <code>string payload_schema_uri = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for payloadSchemaUri.
+   */
+  com.google.protobuf.ByteString getPayloadSchemaUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The schema of the payload can be found in
+   * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return Whether the payload field is set.
+   */
+  boolean hasPayload();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The schema of the payload can be found in
+   * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The payload.
+   */
+  com.google.protobuf.Value getPayload();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The schema of the payload can be found in
+   * [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   */
+  com.google.protobuf.ValueOrBuilder getPayloadOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Annotation was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The etag.
+   */
+  java.lang.String getEtag();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 8 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The bytes for etag.
+   */
+  com.google.protobuf.ByteString getEtagBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The source of the Annotation.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the annotationSource field is set.
+   */
+  boolean hasAnnotationSource();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The source of the Annotation.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The annotationSource.
+   */
+  com.google.cloud.aiplatform.v1.UserActionReference getAnnotationSource();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The source of the Annotation.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.UserActionReference annotation_source = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.UserActionReferenceOrBuilder getAnnotationSourceOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Annotation:
+   * * "aiplatform.googleapis.com/annotation_set_name":
+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Annotation:
+   * * "aiplatform.googleapis.com/annotation_set_name":
+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Annotation:
+   * * "aiplatform.googleapis.com/annotation_set_name":
+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Annotation:
+   * * "aiplatform.googleapis.com/annotation_set_name":
+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your Annotations.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Annotation(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Annotation:
+   * * "aiplatform.googleapis.com/annotation_set_name":
+   *   optional, name of the UI's annotation set this Annotation belongs to.
+   *   If not set, the Annotation is not visible in the UI.
+   * * "aiplatform.googleapis.com/payload_schema":
+   *   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+   *   title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 6 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationProto.java
new file mode 100644
index 000000000..0e063438e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationProto.java
@@ -0,0 +1,123 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/annotation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class AnnotationProto {
+  private AnnotationProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Annotation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Annotation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Annotation_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Annotation_LabelsEntry_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n+google/cloud/aiplatform/v1/annotation."
+          + "proto\022\032google.cloud.aiplatform.v1\032\037googl"
+          + "e/api/field_behavior.proto\032\031google/api/r"
+          + "esource.proto\0326google/cloud/aiplatform/v"
+          + "1/user_action_reference.proto\032\034google/pr"
+          + "otobuf/struct.proto\032\037google/protobuf/tim"
+          + "estamp.proto\032\034google/api/annotations.pro"
+          + "to\"\316\004\n\nAnnotation\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\037\n\022"
+          + "payload_schema_uri\030\002 \001(\tB\003\340A\002\022,\n\007payload"
+          + "\030\003 \001(\0132\026.google.protobuf.ValueB\003\340A\002\0224\n\013c"
+          + "reate_time\030\004 \001(\0132\032.google.protobuf.Times"
+          + "tampB\003\340A\003\0224\n\013update_time\030\007 \001(\0132\032.google."
+          + "protobuf.TimestampB\003\340A\003\022\021\n\004etag\030\010 \001(\tB\003\340"
+          + "A\001\022O\n\021annotation_source\030\005 \001(\0132/.google.c"
+          + "loud.aiplatform.v1.UserActionReferenceB\003"
+          + "\340A\003\022G\n\006labels\030\006 \003(\01322.google.cloud.aipla"
+          + "tform.v1.Annotation.LabelsEntryB\003\340A\001\032-\n\013"
+          + "LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:"
+          + "\0028\001:\225\001\352A\221\001\n$aiplatform.googleapis.com/An"
+          + "notation\022iprojects/{project}/locations/{"
+          + "location}/datasets/{dataset}/dataItems/{"
+          + "data_item}/annotations/{annotation}By\n\036c"
+          + "om.google.cloud.aiplatform.v1B\017Annotatio"
+          + "nProtoP\001ZDgoogle.golang.org/genproto/goo"
+          + "gleapis/cloud/aiplatform/v1;aiplatformb\006"
+          + "proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.UserActionReferenceProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_Annotation_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Annotation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Annotation_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "PayloadSchemaUri",
+              "Payload",
+              "CreateTime",
+              "UpdateTime",
+              "Etag",
+              "AnnotationSource",
+              "Labels",
+            });
+    internal_static_google_cloud_aiplatform_v1_Annotation_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_Annotation_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Annotation_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Annotation_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.UserActionReferenceProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpec.java
new file mode 100644
index 000000000..9e9ee4923
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpec.java
@@ -0,0 +1,1599 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/annotation_spec.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Identifies a concept with which DataItems may be annotated with.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.AnnotationSpec}
+ */
+public final class AnnotationSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.AnnotationSpec)
+    AnnotationSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AnnotationSpec.newBuilder() to construct.
+  private AnnotationSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AnnotationSpec() {
+    name_ = "";
+    displayName_ = "";
+    etag_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AnnotationSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AnnotationSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 34:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              etag_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.AnnotationSpecProto
+        .internal_static_google_cloud_aiplatform_v1_AnnotationSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.AnnotationSpecProto
+        .internal_static_google_cloud_aiplatform_v1_AnnotationSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.AnnotationSpec.class,
+            com.google.cloud.aiplatform.v1.AnnotationSpec.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the AnnotationSpec.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the AnnotationSpec.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the AnnotationSpec.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the AnnotationSpec.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 3;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this AnnotationSpec was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this AnnotationSpec was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this AnnotationSpec was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 4;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when AnnotationSpec was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when AnnotationSpec was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when AnnotationSpec was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int ETAG_FIELD_NUMBER = 5;
+  private volatile java.lang.Object etag_;
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The etag.
+   */
+  @java.lang.Override
+  public java.lang.String getEtag() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      etag_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The bytes for etag.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEtagBytes() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      etag_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
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+    if (createTime_ != null) {
+      output.writeMessage(3, getCreateTime());
+    }
+    if (updateTime_ != null) {
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+    if (!getEtagBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 5, etag_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
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+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getCreateTime());
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+    if (!getEtagBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, etag_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.AnnotationSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.AnnotationSpec other =
+        (com.google.cloud.aiplatform.v1.AnnotationSpec) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasUpdateTime() != other.hasUpdateTime()) return false;
+    if (hasUpdateTime()) {
+      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
+    }
+    if (!getEtag().equals(other.getEtag())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    if (hasCreateTime()) {
+      hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getCreateTime().hashCode();
+    }
+    if (hasUpdateTime()) {
+      hash = (37 * hash) + UPDATE_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getUpdateTime().hashCode();
+    }
+    hash = (37 * hash) + ETAG_FIELD_NUMBER;
+    hash = (53 * hash) + getEtag().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.AnnotationSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AnnotationSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AnnotationSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AnnotationSpec parseFrom(
+      com.google.protobuf.ByteString data,
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+   * Identifies a concept with which DataItems may be annotated with.
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+    private Builder() {
+      maybeForceBuilderInitialization();
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+      displayName_ = "";
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+      if (createTimeBuilder_ == null) {
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+      return this;
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+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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+    public com.google.cloud.aiplatform.v1.AnnotationSpec getDefaultInstanceForType() {
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+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.AnnotationSpec) {
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+        return this;
+      }
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+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.AnnotationSpec other) {
+      if (other == com.google.cloud.aiplatform.v1.AnnotationSpec.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
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+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
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+    }
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+    @java.lang.Override
+    public Builder mergeFrom(
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.AnnotationSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.AnnotationSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the AnnotationSpec.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the AnnotationSpec.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for name.
+     */
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+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the AnnotationSpec.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the AnnotationSpec.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the AnnotationSpec.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the AnnotationSpec.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the AnnotationSpec.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the AnnotationSpec.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the AnnotationSpec.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the AnnotationSpec.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this AnnotationSpec was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when AnnotationSpec was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private java.lang.Object etag_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The etag.
+     */
+    public java.lang.String getEtag() {
+      java.lang.Object ref = etag_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        etag_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for etag.
+     */
+    public com.google.protobuf.ByteString getEtagBytes() {
+      java.lang.Object ref = etag_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        etag_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtag(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEtag() {
+
+      etag_ = getDefaultInstance().getEtag();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The bytes for etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtagBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.AnnotationSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.AnnotationSpec)
+  private static final com.google.cloud.aiplatform.v1.AnnotationSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.AnnotationSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.AnnotationSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AnnotationSpec> PARSER =
+      new com.google.protobuf.AbstractParser<AnnotationSpec>() {
+        @java.lang.Override
+        public AnnotationSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AnnotationSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AnnotationSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AnnotationSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.AnnotationSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecName.java
new file mode 100644
index 000000000..40f968e65
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecName.java
@@ -0,0 +1,269 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class AnnotationSpecName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_DATASET_ANNOTATION_SPEC =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String dataset;
+  private final String annotationSpec;
+
+  @Deprecated
+  protected AnnotationSpecName() {
+    project = null;
+    location = null;
+    dataset = null;
+    annotationSpec = null;
+  }
+
+  private AnnotationSpecName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    dataset = Preconditions.checkNotNull(builder.getDataset());
+    annotationSpec = Preconditions.checkNotNull(builder.getAnnotationSpec());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getDataset() {
+    return dataset;
+  }
+
+  public String getAnnotationSpec() {
+    return annotationSpec;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static AnnotationSpecName of(
+      String project, String location, String dataset, String annotationSpec) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataset(dataset)
+        .setAnnotationSpec(annotationSpec)
+        .build();
+  }
+
+  public static String format(
+      String project, String location, String dataset, String annotationSpec) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataset(dataset)
+        .setAnnotationSpec(annotationSpec)
+        .build()
+        .toString();
+  }
+
+  public static AnnotationSpecName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_DATASET_ANNOTATION_SPEC.validatedMatch(
+            formattedString, "AnnotationSpecName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("dataset"),
+        matchMap.get("annotation_spec"));
+  }
+
+  public static List<AnnotationSpecName> parseList(List<String> formattedStrings) {
+    List<AnnotationSpecName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<AnnotationSpecName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (AnnotationSpecName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_DATASET_ANNOTATION_SPEC.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (dataset != null) {
+            fieldMapBuilder.put("dataset", dataset);
+          }
+          if (annotationSpec != null) {
+            fieldMapBuilder.put("annotation_spec", annotationSpec);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_DATASET_ANNOTATION_SPEC.instantiate(
+        "project",
+        project,
+        "location",
+        location,
+        "dataset",
+        dataset,
+        "annotation_spec",
+        annotationSpec);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      AnnotationSpecName that = ((AnnotationSpecName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.dataset, that.dataset)
+          && Objects.equals(this.annotationSpec, that.annotationSpec);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(dataset);
+    h *= 1000003;
+    h ^= Objects.hashCode(annotationSpec);
+    return h;
+  }
+
+  /**
+   * Builder for
+   * projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}.
+   */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String dataset;
+    private String annotationSpec;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getDataset() {
+      return dataset;
+    }
+
+    public String getAnnotationSpec() {
+      return annotationSpec;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setDataset(String dataset) {
+      this.dataset = dataset;
+      return this;
+    }
+
+    public Builder setAnnotationSpec(String annotationSpec) {
+      this.annotationSpec = annotationSpec;
+      return this;
+    }
+
+    private Builder(AnnotationSpecName annotationSpecName) {
+      project = annotationSpecName.project;
+      location = annotationSpecName.location;
+      dataset = annotationSpecName.dataset;
+      annotationSpec = annotationSpecName.annotationSpec;
+    }
+
+    public AnnotationSpecName build() {
+      return new AnnotationSpecName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecOrBuilder.java
new file mode 100644
index 000000000..4e8d39339
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecOrBuilder.java
@@ -0,0 +1,182 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/annotation_spec.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface AnnotationSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.AnnotationSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the AnnotationSpec.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the AnnotationSpec.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the AnnotationSpec.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the AnnotationSpec.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this AnnotationSpec was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this AnnotationSpec was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this AnnotationSpec was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when AnnotationSpec was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when AnnotationSpec was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when AnnotationSpec was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The etag.
+   */
+  java.lang.String getEtag();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 5 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The bytes for etag.
+   */
+  com.google.protobuf.ByteString getEtagBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecProto.java
new file mode 100644
index 000000000..3e2b723dc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AnnotationSpecProto.java
@@ -0,0 +1,91 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/annotation_spec.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class AnnotationSpecProto {
+  private AnnotationSpecProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_AnnotationSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_AnnotationSpec_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n0google/cloud/aiplatform/v1/annotation_"
+          + "spec.proto\022\032google.cloud.aiplatform.v1\032\037"
+          + "google/api/field_behavior.proto\032\031google/"
+          + "api/resource.proto\032\037google/protobuf/time"
+          + "stamp.proto\032\034google/api/annotations.prot"
+          + "o\"\314\002\n\016AnnotationSpec\022\021\n\004name\030\001 \001(\tB\003\340A\003\022"
+          + "\031\n\014display_name\030\002 \001(\tB\003\340A\002\0224\n\013create_tim"
+          + "e\030\003 \001(\0132\032.google.protobuf.TimestampB\003\340A\003"
+          + "\0224\n\013update_time\030\004 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\022\021\n\004etag\030\005 \001(\tB\003\340A\001:\214\001\352A\210\001"
+          + "\n(aiplatform.googleapis.com/AnnotationSp"
+          + "ec\022\\projects/{project}/locations/{locati"
+          + "on}/datasets/{dataset}/annotationSpecs/{"
+          + "annotation_spec}B}\n\036com.google.cloud.aip"
+          + "latform.v1B\023AnnotationSpecProtoP\001ZDgoogl"
+          + "e.golang.org/genproto/googleapis/cloud/a"
+          + "iplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_AnnotationSpec_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_AnnotationSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_AnnotationSpec_descriptor,
+            new java.lang.String[] {
+              "Name", "DisplayName", "CreateTime", "UpdateTime", "Etag",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResources.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResources.java
new file mode 100644
index 000000000..540d061b0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResources.java
@@ -0,0 +1,688 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A description of resources that to large degree are decided by AI Platform,
+ * and require only a modest additional configuration.
+ * Each Model supporting these resources documents its specific guidelines.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.AutomaticResources}
+ */
+public final class AutomaticResources extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.AutomaticResources)
+    AutomaticResourcesOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutomaticResources.newBuilder() to construct.
+  private AutomaticResources(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutomaticResources() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutomaticResources();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutomaticResources(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              minReplicaCount_ = input.readInt32();
+              break;
+            }
+          case 16:
+            {
+              maxReplicaCount_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_AutomaticResources_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_AutomaticResources_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.AutomaticResources.class,
+            com.google.cloud.aiplatform.v1.AutomaticResources.Builder.class);
+  }
+
+  public static final int MIN_REPLICA_COUNT_FIELD_NUMBER = 1;
+  private int minReplicaCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The minimum number of replicas this DeployedModel will be always deployed
+   * on. If traffic against it increases, it may dynamically be deployed onto
+   * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
+   * of these extra replicas may be freed.
+   * If the requested value is too large, the deployment will error.
+   * </pre>
+   *
+   * <code>int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The minReplicaCount.
+   */
+  @java.lang.Override
+  public int getMinReplicaCount() {
+    return minReplicaCount_;
+  }
+
+  public static final int MAX_REPLICA_COUNT_FIELD_NUMBER = 2;
+  private int maxReplicaCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+   * the traffic against it increases. If the requested value is too large,
+   * the deployment will error, but if deployment succeeds then the ability
+   * to scale the model to that many replicas is guaranteed (barring service
+   * outages). If traffic against the DeployedModel increases beyond what its
+   * replicas at maximum may handle, a portion of the traffic will be dropped.
+   * If this value is not provided, a no upper bound for scaling under heavy
+   * traffic will be assume, though AI Platform may be unable to scale beyond
+   * certain replica number.
+   * </pre>
+   *
+   * <code>int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The maxReplicaCount.
+   */
+  @java.lang.Override
+  public int getMaxReplicaCount() {
+    return maxReplicaCount_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (minReplicaCount_ != 0) {
+      output.writeInt32(1, minReplicaCount_);
+    }
+    if (maxReplicaCount_ != 0) {
+      output.writeInt32(2, maxReplicaCount_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (minReplicaCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, minReplicaCount_);
+    }
+    if (maxReplicaCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, maxReplicaCount_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.AutomaticResources)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.AutomaticResources other =
+        (com.google.cloud.aiplatform.v1.AutomaticResources) obj;
+
+    if (getMinReplicaCount() != other.getMinReplicaCount()) return false;
+    if (getMaxReplicaCount() != other.getMaxReplicaCount()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MIN_REPLICA_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getMinReplicaCount();
+    hash = (37 * hash) + MAX_REPLICA_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getMaxReplicaCount();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.AutomaticResources prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that to large degree are decided by AI Platform,
+   * and require only a modest additional configuration.
+   * Each Model supporting these resources documents its specific guidelines.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.AutomaticResources}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.AutomaticResources)
+      com.google.cloud.aiplatform.v1.AutomaticResourcesOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_AutomaticResources_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_AutomaticResources_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.AutomaticResources.class,
+              com.google.cloud.aiplatform.v1.AutomaticResources.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.AutomaticResources.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      minReplicaCount_ = 0;
+
+      maxReplicaCount_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_AutomaticResources_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.AutomaticResources getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.AutomaticResources build() {
+      com.google.cloud.aiplatform.v1.AutomaticResources result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.AutomaticResources buildPartial() {
+      com.google.cloud.aiplatform.v1.AutomaticResources result =
+          new com.google.cloud.aiplatform.v1.AutomaticResources(this);
+      result.minReplicaCount_ = minReplicaCount_;
+      result.maxReplicaCount_ = maxReplicaCount_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.AutomaticResources) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.AutomaticResources) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.AutomaticResources other) {
+      if (other == com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance())
+        return this;
+      if (other.getMinReplicaCount() != 0) {
+        setMinReplicaCount(other.getMinReplicaCount());
+      }
+      if (other.getMaxReplicaCount() != 0) {
+        setMaxReplicaCount(other.getMaxReplicaCount());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.AutomaticResources parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.AutomaticResources) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int minReplicaCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
+     * on. If traffic against it increases, it may dynamically be deployed onto
+     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
+     * of these extra replicas may be freed.
+     * If the requested value is too large, the deployment will error.
+     * </pre>
+     *
+     * <code>int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The minReplicaCount.
+     */
+    @java.lang.Override
+    public int getMinReplicaCount() {
+      return minReplicaCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
+     * on. If traffic against it increases, it may dynamically be deployed onto
+     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
+     * of these extra replicas may be freed.
+     * If the requested value is too large, the deployment will error.
+     * </pre>
+     *
+     * <code>int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The minReplicaCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMinReplicaCount(int value) {
+
+      minReplicaCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The minimum number of replicas this DeployedModel will be always deployed
+     * on. If traffic against it increases, it may dynamically be deployed onto
+     * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
+     * of these extra replicas may be freed.
+     * If the requested value is too large, the deployment will error.
+     * </pre>
+     *
+     * <code>int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMinReplicaCount() {
+
+      minReplicaCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int maxReplicaCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+     * the traffic against it increases. If the requested value is too large,
+     * the deployment will error, but if deployment succeeds then the ability
+     * to scale the model to that many replicas is guaranteed (barring service
+     * outages). If traffic against the DeployedModel increases beyond what its
+     * replicas at maximum may handle, a portion of the traffic will be dropped.
+     * If this value is not provided, a no upper bound for scaling under heavy
+     * traffic will be assume, though AI Platform may be unable to scale beyond
+     * certain replica number.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The maxReplicaCount.
+     */
+    @java.lang.Override
+    public int getMaxReplicaCount() {
+      return maxReplicaCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+     * the traffic against it increases. If the requested value is too large,
+     * the deployment will error, but if deployment succeeds then the ability
+     * to scale the model to that many replicas is guaranteed (barring service
+     * outages). If traffic against the DeployedModel increases beyond what its
+     * replicas at maximum may handle, a portion of the traffic will be dropped.
+     * If this value is not provided, a no upper bound for scaling under heavy
+     * traffic will be assume, though AI Platform may be unable to scale beyond
+     * certain replica number.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The maxReplicaCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxReplicaCount(int value) {
+
+      maxReplicaCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+     * the traffic against it increases. If the requested value is too large,
+     * the deployment will error, but if deployment succeeds then the ability
+     * to scale the model to that many replicas is guaranteed (barring service
+     * outages). If traffic against the DeployedModel increases beyond what its
+     * replicas at maximum may handle, a portion of the traffic will be dropped.
+     * If this value is not provided, a no upper bound for scaling under heavy
+     * traffic will be assume, though AI Platform may be unable to scale beyond
+     * certain replica number.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxReplicaCount() {
+
+      maxReplicaCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.AutomaticResources)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.AutomaticResources)
+  private static final com.google.cloud.aiplatform.v1.AutomaticResources DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.AutomaticResources();
+  }
+
+  public static com.google.cloud.aiplatform.v1.AutomaticResources getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutomaticResources> PARSER =
+      new com.google.protobuf.AbstractParser<AutomaticResources>() {
+        @java.lang.Override
+        public AutomaticResources parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutomaticResources(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutomaticResources> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutomaticResources> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.AutomaticResources getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResourcesOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResourcesOrBuilder.java
new file mode 100644
index 000000000..e41ec4e37
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/AutomaticResourcesOrBuilder.java
@@ -0,0 +1,63 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface AutomaticResourcesOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.AutomaticResources)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The minimum number of replicas this DeployedModel will be always deployed
+   * on. If traffic against it increases, it may dynamically be deployed onto
+   * more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
+   * of these extra replicas may be freed.
+   * If the requested value is too large, the deployment will error.
+   * </pre>
+   *
+   * <code>int32 min_replica_count = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The minReplicaCount.
+   */
+  int getMinReplicaCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+   * the traffic against it increases. If the requested value is too large,
+   * the deployment will error, but if deployment succeeds then the ability
+   * to scale the model to that many replicas is guaranteed (barring service
+   * outages). If traffic against the DeployedModel increases beyond what its
+   * replicas at maximum may handle, a portion of the traffic will be dropped.
+   * If this value is not provided, a no upper bound for scaling under heavy
+   * traffic will be assume, though AI Platform may be unable to scale beyond
+   * certain replica number.
+   * </pre>
+   *
+   * <code>int32 max_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The maxReplicaCount.
+   */
+  int getMaxReplicaCount();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResources.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResources.java
new file mode 100644
index 000000000..02ef10b5e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResources.java
@@ -0,0 +1,953 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A description of resources that are used for performing batch operations, are
+ * dedicated to a Model, and need manual configuration.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.BatchDedicatedResources}
+ */
+public final class BatchDedicatedResources extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchDedicatedResources)
+    BatchDedicatedResourcesOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchDedicatedResources.newBuilder() to construct.
+  private BatchDedicatedResources(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private BatchDedicatedResources() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new BatchDedicatedResources();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchDedicatedResources(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.MachineSpec.Builder subBuilder = null;
+              if (machineSpec_ != null) {
+                subBuilder = machineSpec_.toBuilder();
+              }
+              machineSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MachineSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(machineSpec_);
+                machineSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 16:
+            {
+              startingReplicaCount_ = input.readInt32();
+              break;
+            }
+          case 24:
+            {
+              maxReplicaCount_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.BatchDedicatedResources.class,
+            com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder.class);
+  }
+
+  public static final int MACHINE_SPEC_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.MachineSpec machineSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return Whether the machineSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasMachineSpec() {
+    return machineSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The machineSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec() {
+    return machineSpec_ == null
+        ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+        : machineSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
+    return getMachineSpec();
+  }
+
+  public static final int STARTING_REPLICA_COUNT_FIELD_NUMBER = 2;
+  private int startingReplicaCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The number of machine replicas used at the start of the batch operation.
+   * If not set, AI Platform decides starting number, not greater than
+   * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
+   * </pre>
+   *
+   * <code>int32 starting_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The startingReplicaCount.
+   */
+  @java.lang.Override
+  public int getStartingReplicaCount() {
+    return startingReplicaCount_;
+  }
+
+  public static final int MAX_REPLICA_COUNT_FIELD_NUMBER = 3;
+  private int maxReplicaCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The maximum number of machine replicas the batch operation may be scaled
+   * to. The default value is 10.
+   * </pre>
+   *
+   * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The maxReplicaCount.
+   */
+  @java.lang.Override
+  public int getMaxReplicaCount() {
+    return maxReplicaCount_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (machineSpec_ != null) {
+      output.writeMessage(1, getMachineSpec());
+    }
+    if (startingReplicaCount_ != 0) {
+      output.writeInt32(2, startingReplicaCount_);
+    }
+    if (maxReplicaCount_ != 0) {
+      output.writeInt32(3, maxReplicaCount_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (machineSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getMachineSpec());
+    }
+    if (startingReplicaCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, startingReplicaCount_);
+    }
+    if (maxReplicaCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(3, maxReplicaCount_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchDedicatedResources)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.BatchDedicatedResources other =
+        (com.google.cloud.aiplatform.v1.BatchDedicatedResources) obj;
+
+    if (hasMachineSpec() != other.hasMachineSpec()) return false;
+    if (hasMachineSpec()) {
+      if (!getMachineSpec().equals(other.getMachineSpec())) return false;
+    }
+    if (getStartingReplicaCount() != other.getStartingReplicaCount()) return false;
+    if (getMaxReplicaCount() != other.getMaxReplicaCount()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasMachineSpec()) {
+      hash = (37 * hash) + MACHINE_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getMachineSpec().hashCode();
+    }
+    hash = (37 * hash) + STARTING_REPLICA_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getStartingReplicaCount();
+    hash = (37 * hash) + MAX_REPLICA_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getMaxReplicaCount();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.BatchDedicatedResources prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that are used for performing batch operations, are
+   * dedicated to a Model, and need manual configuration.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BatchDedicatedResources}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchDedicatedResources)
+      com.google.cloud.aiplatform.v1.BatchDedicatedResourcesOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BatchDedicatedResources.class,
+              com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.BatchDedicatedResources.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = null;
+      } else {
+        machineSpec_ = null;
+        machineSpecBuilder_ = null;
+      }
+      startingReplicaCount_ = 0;
+
+      maxReplicaCount_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchDedicatedResources getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.BatchDedicatedResources.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchDedicatedResources build() {
+      com.google.cloud.aiplatform.v1.BatchDedicatedResources result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchDedicatedResources buildPartial() {
+      com.google.cloud.aiplatform.v1.BatchDedicatedResources result =
+          new com.google.cloud.aiplatform.v1.BatchDedicatedResources(this);
+      if (machineSpecBuilder_ == null) {
+        result.machineSpec_ = machineSpec_;
+      } else {
+        result.machineSpec_ = machineSpecBuilder_.build();
+      }
+      result.startingReplicaCount_ = startingReplicaCount_;
+      result.maxReplicaCount_ = maxReplicaCount_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.BatchDedicatedResources) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.BatchDedicatedResources) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.BatchDedicatedResources other) {
+      if (other == com.google.cloud.aiplatform.v1.BatchDedicatedResources.getDefaultInstance())
+        return this;
+      if (other.hasMachineSpec()) {
+        mergeMachineSpec(other.getMachineSpec());
+      }
+      if (other.getStartingReplicaCount() != 0) {
+        setStartingReplicaCount(other.getStartingReplicaCount());
+      }
+      if (other.getMaxReplicaCount() != 0) {
+        setMaxReplicaCount(other.getMaxReplicaCount());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.BatchDedicatedResources parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.BatchDedicatedResources) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.MachineSpec machineSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MachineSpec,
+            com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+            com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>
+        machineSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return Whether the machineSpec field is set.
+     */
+    public boolean hasMachineSpec() {
+      return machineSpecBuilder_ != null || machineSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The machineSpec.
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec() {
+      if (machineSpecBuilder_ == null) {
+        return machineSpec_ == null
+            ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+            : machineSpec_;
+      } else {
+        return machineSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setMachineSpec(com.google.cloud.aiplatform.v1.MachineSpec value) {
+      if (machineSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        machineSpec_ = value;
+        onChanged();
+      } else {
+        machineSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setMachineSpec(
+        com.google.cloud.aiplatform.v1.MachineSpec.Builder builderForValue) {
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        machineSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1.MachineSpec value) {
+      if (machineSpecBuilder_ == null) {
+        if (machineSpec_ != null) {
+          machineSpec_ =
+              com.google.cloud.aiplatform.v1.MachineSpec.newBuilder(machineSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          machineSpec_ = value;
+        }
+        onChanged();
+      } else {
+        machineSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder clearMachineSpec() {
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = null;
+        onChanged();
+      } else {
+        machineSpec_ = null;
+        machineSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpec.Builder getMachineSpecBuilder() {
+
+      onChanged();
+      return getMachineSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
+      if (machineSpecBuilder_ != null) {
+        return machineSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return machineSpec_ == null
+            ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+            : machineSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MachineSpec,
+            com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+            com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>
+        getMachineSpecFieldBuilder() {
+      if (machineSpecBuilder_ == null) {
+        machineSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MachineSpec,
+                com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+                com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>(
+                getMachineSpec(), getParentForChildren(), isClean());
+        machineSpec_ = null;
+      }
+      return machineSpecBuilder_;
+    }
+
+    private int startingReplicaCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The number of machine replicas used at the start of the batch operation.
+     * If not set, AI Platform decides starting number, not greater than
+     * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
+     * </pre>
+     *
+     * <code>int32 starting_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The startingReplicaCount.
+     */
+    @java.lang.Override
+    public int getStartingReplicaCount() {
+      return startingReplicaCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The number of machine replicas used at the start of the batch operation.
+     * If not set, AI Platform decides starting number, not greater than
+     * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
+     * </pre>
+     *
+     * <code>int32 starting_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The startingReplicaCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setStartingReplicaCount(int value) {
+
+      startingReplicaCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The number of machine replicas used at the start of the batch operation.
+     * If not set, AI Platform decides starting number, not greater than
+     * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
+     * </pre>
+     *
+     * <code>int32 starting_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearStartingReplicaCount() {
+
+      startingReplicaCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int maxReplicaCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of machine replicas the batch operation may be scaled
+     * to. The default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The maxReplicaCount.
+     */
+    @java.lang.Override
+    public int getMaxReplicaCount() {
+      return maxReplicaCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of machine replicas the batch operation may be scaled
+     * to. The default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The maxReplicaCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxReplicaCount(int value) {
+
+      maxReplicaCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of machine replicas the batch operation may be scaled
+     * to. The default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxReplicaCount() {
+
+      maxReplicaCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchDedicatedResources)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchDedicatedResources)
+  private static final com.google.cloud.aiplatform.v1.BatchDedicatedResources DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchDedicatedResources();
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchDedicatedResources getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<BatchDedicatedResources> PARSER =
+      new com.google.protobuf.AbstractParser<BatchDedicatedResources>() {
+        @java.lang.Override
+        public BatchDedicatedResources parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchDedicatedResources(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<BatchDedicatedResources> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<BatchDedicatedResources> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchDedicatedResources getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResourcesOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResourcesOrBuilder.java
new file mode 100644
index 000000000..dfd29c22e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchDedicatedResourcesOrBuilder.java
@@ -0,0 +1,95 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface BatchDedicatedResourcesOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchDedicatedResources)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return Whether the machineSpec field is set.
+   */
+  boolean hasMachineSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The machineSpec.
+   */
+  com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The number of machine replicas used at the start of the batch operation.
+   * If not set, AI Platform decides starting number, not greater than
+   * [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
+   * </pre>
+   *
+   * <code>int32 starting_replica_count = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The startingReplicaCount.
+   */
+  int getStartingReplicaCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The maximum number of machine replicas the batch operation may be scaled
+   * to. The default value is 10.
+   * </pre>
+   *
+   * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The maxReplicaCount.
+   */
+  int getMaxReplicaCount();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadata.java
new file mode 100644
index 000000000..fa0751fec
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadata.java
@@ -0,0 +1,3059 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata}
+ */
+public final class BatchMigrateResourcesOperationMetadata
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata)
+    BatchMigrateResourcesOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchMigrateResourcesOperationMetadata.newBuilder() to construct.
+  private BatchMigrateResourcesOperationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private BatchMigrateResourcesOperationMetadata() {
+    partialResults_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new BatchMigrateResourcesOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchMigrateResourcesOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
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+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                            .PartialResult>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              partialResults_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                          .PartialResult.parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
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+              break;
+            }
+        }
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+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
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+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.Builder.class);
+  }
+
+  public interface PartialResultOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return Whether the error field is set.
+     */
+    boolean hasError();
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return The error.
+     */
+    com.google.rpc.Status getError();
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     */
+    com.google.rpc.StatusOrBuilder getErrorOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    java.lang.String getModel();
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    com.google.protobuf.ByteString getModelBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    java.lang.String getDataset();
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    com.google.protobuf.ByteString getDatasetBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return Whether the request field is set.
+     */
+    boolean hasRequest();
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return The request.
+     */
+    com.google.cloud.aiplatform.v1.MigrateResourceRequest getRequest();
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+     */
+    com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder getRequestOrBuilder();
+
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .ResultCase
+        getResultCase();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a partial result in batch migration operation for one
+   * [MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult}
+   */
+  public static final class PartialResult extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult)
+      PartialResultOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use PartialResult.newBuilder() to construct.
+    private PartialResult(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private PartialResult() {}
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new PartialResult();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private PartialResult(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
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+        while (!done) {
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+          switch (tag) {
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+              break;
+            case 10:
+              {
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder subBuilder = null;
+                if (request_ != null) {
+                  subBuilder = request_.toBuilder();
+                }
+                request_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.MigrateResourceRequest.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(request_);
+                  request_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
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+              {
+                com.google.rpc.Status.Builder subBuilder = null;
+                if (resultCase_ == 2) {
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+                }
+                result_ = input.readMessage(com.google.rpc.Status.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom((com.google.rpc.Status) result_);
+                  result_ = subBuilder.buildPartial();
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+                resultCase_ = 2;
+                break;
+              }
+            case 26:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                resultCase_ = 3;
+                result_ = s;
+                break;
+              }
+            case 34:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                resultCase_ = 4;
+                result_ = s;
+                break;
+              }
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+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
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+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
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+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                  .Builder.class);
+    }
+
+    private int resultCase_ = 0;
+    private java.lang.Object result_;
+
+    public enum ResultCase
+        implements
+            com.google.protobuf.Internal.EnumLite,
+            com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+      ERROR(2),
+      MODEL(3),
+      DATASET(4),
+      RESULT_NOT_SET(0);
+      private final int value;
+
+      private ResultCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @param value The number of the enum to look for.
+       * @return The enum associated with the given number.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static ResultCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static ResultCase forNumber(int value) {
+        switch (value) {
+          case 2:
+            return ERROR;
+          case 3:
+            return MODEL;
+          case 4:
+            return DATASET;
+          case 0:
+            return RESULT_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public ResultCase getResultCase() {
+      return ResultCase.forNumber(resultCase_);
+    }
+
+    public static final int ERROR_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return Whether the error field is set.
+     */
+    @java.lang.Override
+    public boolean hasError() {
+      return resultCase_ == 2;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return The error.
+     */
+    @java.lang.Override
+    public com.google.rpc.Status getError() {
+      if (resultCase_ == 2) {
+        return (com.google.rpc.Status) result_;
+      }
+      return com.google.rpc.Status.getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     */
+    @java.lang.Override
+    public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+      if (resultCase_ == 2) {
+        return (com.google.rpc.Status) result_;
+      }
+      return com.google.rpc.Status.getDefaultInstance();
+    }
+
+    public static final int MODEL_FIELD_NUMBER = 3;
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    public java.lang.String getModel() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 3) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (resultCase_ == 3) {
+          result_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    public com.google.protobuf.ByteString getModelBytes() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 3) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (resultCase_ == 3) {
+          result_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DATASET_FIELD_NUMBER = 4;
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    public java.lang.String getDataset() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 4) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (resultCase_ == 4) {
+          result_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    public com.google.protobuf.ByteString getDatasetBytes() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 4) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (resultCase_ == 4) {
+          result_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int REQUEST_FIELD_NUMBER = 1;
+    private com.google.cloud.aiplatform.v1.MigrateResourceRequest request_;
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return Whether the request field is set.
+     */
+    @java.lang.Override
+    public boolean hasRequest() {
+      return request_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return The request.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest getRequest() {
+      return request_ == null
+          ? com.google.cloud.aiplatform.v1.MigrateResourceRequest.getDefaultInstance()
+          : request_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder getRequestOrBuilder() {
+      return getRequest();
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (request_ != null) {
+        output.writeMessage(1, getRequest());
+      }
+      if (resultCase_ == 2) {
+        output.writeMessage(2, (com.google.rpc.Status) result_);
+      }
+      if (resultCase_ == 3) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 3, result_);
+      }
+      if (resultCase_ == 4) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 4, result_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
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+      }
+      if (resultCase_ == 3) {
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+      }
+      if (resultCase_ == 4) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, result_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult other =
+          (com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult) obj;
+
+      if (hasRequest() != other.hasRequest()) return false;
+      if (hasRequest()) {
+        if (!getRequest().equals(other.getRequest())) return false;
+      }
+      if (!getResultCase().equals(other.getResultCase())) return false;
+      switch (resultCase_) {
+        case 2:
+          if (!getError().equals(other.getError())) return false;
+          break;
+        case 3:
+          if (!getModel().equals(other.getModel())) return false;
+          break;
+        case 4:
+          if (!getDataset().equals(other.getDataset())) return false;
+          break;
+        case 0:
+        default:
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      if (hasRequest()) {
+        hash = (37 * hash) + REQUEST_FIELD_NUMBER;
+        hash = (53 * hash) + getRequest().hashCode();
+      }
+      switch (resultCase_) {
+        case 2:
+          hash = (37 * hash) + ERROR_FIELD_NUMBER;
+          hash = (53 * hash) + getError().hashCode();
+          break;
+        case 3:
+          hash = (37 * hash) + MODEL_FIELD_NUMBER;
+          hash = (53 * hash) + getModel().hashCode();
+          break;
+        case 4:
+          hash = (37 * hash) + DATASET_FIELD_NUMBER;
+          hash = (53 * hash) + getDataset().hashCode();
+          break;
+        case 0:
+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
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+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+      return PARSER.parseFrom(data, extensionRegistry);
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+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents a partial result in batch migration operation for one
+     * [MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult)
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResultOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                    .class,
+                com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        if (requestBuilder_ == null) {
+          request_ = null;
+        } else {
+          request_ = null;
+          requestBuilder_ = null;
+        }
+        resultCase_ = 0;
+        result_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+          build() {
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult result =
+            new com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult(
+                this);
+        if (resultCase_ == 2) {
+          if (errorBuilder_ == null) {
+            result.result_ = result_;
+          } else {
+            result.result_ = errorBuilder_.build();
+          }
+        }
+        if (resultCase_ == 3) {
+          result.result_ = result_;
+        }
+        if (resultCase_ == 4) {
+          result.result_ = result_;
+        }
+        if (requestBuilder_ == null) {
+          result.request_ = request_;
+        } else {
+          result.request_ = requestBuilder_.build();
+        }
+        result.resultCase_ = resultCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+              other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .getDefaultInstance()) return this;
+        if (other.hasRequest()) {
+          mergeRequest(other.getRequest());
+        }
+        switch (other.getResultCase()) {
+          case ERROR:
+            {
+              mergeError(other.getError());
+              break;
+            }
+          case MODEL:
+            {
+              resultCase_ = 3;
+              result_ = other.result_;
+              onChanged();
+              break;
+            }
+          case DATASET:
+            {
+              resultCase_ = 4;
+              result_ = other.result_;
+              onChanged();
+              break;
+            }
+          case RESULT_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int resultCase_ = 0;
+      private java.lang.Object result_;
+
+      public ResultCase getResultCase() {
+        return ResultCase.forNumber(resultCase_);
+      }
+
+      public Builder clearResult() {
+        resultCase_ = 0;
+        result_ = null;
+        onChanged();
+        return this;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+          errorBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       *
+       * @return Whether the error field is set.
+       */
+      @java.lang.Override
+      public boolean hasError() {
+        return resultCase_ == 2;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       *
+       * @return The error.
+       */
+      @java.lang.Override
+      public com.google.rpc.Status getError() {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2) {
+            return (com.google.rpc.Status) result_;
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        } else {
+          if (resultCase_ == 2) {
+            return errorBuilder_.getMessage();
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder setError(com.google.rpc.Status value) {
+        if (errorBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          result_ = value;
+          onChanged();
+        } else {
+          errorBuilder_.setMessage(value);
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder setError(com.google.rpc.Status.Builder builderForValue) {
+        if (errorBuilder_ == null) {
+          result_ = builderForValue.build();
+          onChanged();
+        } else {
+          errorBuilder_.setMessage(builderForValue.build());
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder mergeError(com.google.rpc.Status value) {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2 && result_ != com.google.rpc.Status.getDefaultInstance()) {
+            result_ =
+                com.google.rpc.Status.newBuilder((com.google.rpc.Status) result_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            result_ = value;
+          }
+          onChanged();
+        } else {
+          if (resultCase_ == 2) {
+            errorBuilder_.mergeFrom(value);
+          }
+          errorBuilder_.setMessage(value);
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder clearError() {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2) {
+            resultCase_ = 0;
+            result_ = null;
+            onChanged();
+          }
+        } else {
+          if (resultCase_ == 2) {
+            resultCase_ = 0;
+            result_ = null;
+          }
+          errorBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public com.google.rpc.Status.Builder getErrorBuilder() {
+        return getErrorFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      @java.lang.Override
+      public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+        if ((resultCase_ == 2) && (errorBuilder_ != null)) {
+          return errorBuilder_.getMessageOrBuilder();
+        } else {
+          if (resultCase_ == 2) {
+            return (com.google.rpc.Status) result_;
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+          getErrorFieldBuilder() {
+        if (errorBuilder_ == null) {
+          if (!(resultCase_ == 2)) {
+            result_ = com.google.rpc.Status.getDefaultInstance();
+          }
+          errorBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.rpc.Status,
+                  com.google.rpc.Status.Builder,
+                  com.google.rpc.StatusOrBuilder>(
+                  (com.google.rpc.Status) result_, getParentForChildren(), isClean());
+          result_ = null;
+        }
+        resultCase_ = 2;
+        onChanged();
+        ;
+        return errorBuilder_;
+      }
+
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The model.
+       */
+      @java.lang.Override
+      public java.lang.String getModel() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 3) {
+          ref = result_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (resultCase_ == 3) {
+            result_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for model.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getModelBytes() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 3) {
+          ref = result_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (resultCase_ == 3) {
+            result_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModel(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resultCase_ = 3;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModel() {
+        if (resultCase_ == 3) {
+          resultCase_ = 0;
+          result_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        resultCase_ = 3;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The dataset.
+       */
+      @java.lang.Override
+      public java.lang.String getDataset() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 4) {
+          ref = result_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (resultCase_ == 4) {
+            result_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for dataset.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getDatasetBytes() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 4) {
+          ref = result_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (resultCase_ == 4) {
+            result_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resultCase_ = 4;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDataset() {
+        if (resultCase_ == 4) {
+          resultCase_ = 0;
+          result_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        resultCase_ = 4;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.cloud.aiplatform.v1.MigrateResourceRequest request_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>
+          requestBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       *
+       * @return Whether the request field is set.
+       */
+      public boolean hasRequest() {
+        return requestBuilder_ != null || request_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       *
+       * @return The request.
+       */
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest getRequest() {
+        if (requestBuilder_ == null) {
+          return request_ == null
+              ? com.google.cloud.aiplatform.v1.MigrateResourceRequest.getDefaultInstance()
+              : request_;
+        } else {
+          return requestBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder setRequest(com.google.cloud.aiplatform.v1.MigrateResourceRequest value) {
+        if (requestBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          request_ = value;
+          onChanged();
+        } else {
+          requestBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder setRequest(
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder builderForValue) {
+        if (requestBuilder_ == null) {
+          request_ = builderForValue.build();
+          onChanged();
+        } else {
+          requestBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder mergeRequest(com.google.cloud.aiplatform.v1.MigrateResourceRequest value) {
+        if (requestBuilder_ == null) {
+          if (request_ != null) {
+            request_ =
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.newBuilder(request_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            request_ = value;
+          }
+          onChanged();
+        } else {
+          requestBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder clearRequest() {
+        if (requestBuilder_ == null) {
+          request_ = null;
+          onChanged();
+        } else {
+          request_ = null;
+          requestBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       */
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder getRequestBuilder() {
+
+        onChanged();
+        return getRequestFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       */
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder getRequestOrBuilder() {
+        if (requestBuilder_ != null) {
+          return requestBuilder_.getMessageOrBuilder();
+        } else {
+          return request_ == null
+              ? com.google.cloud.aiplatform.v1.MigrateResourceRequest.getDefaultInstance()
+              : request_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.MigrateResourceRequest request = 1;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>
+          getRequestFieldBuilder() {
+        if (requestBuilder_ == null) {
+          requestBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest,
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder,
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>(
+                  getRequest(), getParentForChildren(), isClean());
+          request_ = null;
+        }
+        return requestBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult)
+    private static final com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult();
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<PartialResult> PARSER =
+        new com.google.protobuf.AbstractParser<PartialResult>() {
+          @java.lang.Override
+          public PartialResult parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new PartialResult(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<PartialResult> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<PartialResult> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  public static final int PARTIAL_RESULTS_FIELD_NUMBER = 2;
+  private java.util.List<
+          com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      partialResults_;
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      getPartialResultsList() {
+    return partialResults_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                  .PartialResultOrBuilder>
+      getPartialResultsOrBuilderList() {
+    return partialResults_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public int getPartialResultsCount() {
+    return partialResults_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+      getPartialResults(int index) {
+    return partialResults_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+          .PartialResultOrBuilder
+      getPartialResultsOrBuilder(int index) {
+    return partialResults_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    for (int i = 0; i < partialResults_.size(); i++) {
+      output.writeMessage(2, partialResults_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    for (int i = 0; i < partialResults_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, partialResults_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!getPartialResultsList().equals(other.getPartialResultsList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    if (getPartialResultsCount() > 0) {
+      hash = (37 * hash) + PARTIAL_RESULTS_FIELD_NUMBER;
+      hash = (53 * hash) + getPartialResultsList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata)
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getPartialResultsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      if (partialResultsBuilder_ == null) {
+        partialResults_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        partialResultsBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata(this);
+      int from_bitField0_ = bitField0_;
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      if (partialResultsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
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+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.partialResults_ = partialResults_;
+      } else {
+        result.partialResults_ = partialResultsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+              .getDefaultInstance()) return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      if (partialResultsBuilder_ == null) {
+        if (!other.partialResults_.isEmpty()) {
+          if (partialResults_.isEmpty()) {
+            partialResults_ = other.partialResults_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensurePartialResultsIsMutable();
+            partialResults_.addAll(other.partialResults_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.partialResults_.isEmpty()) {
+          if (partialResultsBuilder_.isEmpty()) {
+            partialResultsBuilder_.dispose();
+            partialResultsBuilder_ = null;
+            partialResults_ = other.partialResults_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            partialResultsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getPartialResultsFieldBuilder()
+                    : null;
+          } else {
+            partialResultsBuilder_.addAllMessages(other.partialResults_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    private java.util.List<
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult>
+        partialResults_ = java.util.Collections.emptyList();
+
+    private void ensurePartialResultsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        partialResults_ =
+            new java.util.ArrayList<
+                com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                    .PartialResult>(partialResults_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult,
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder,
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                .PartialResultOrBuilder>
+        partialResultsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult>
+        getPartialResultsList() {
+      if (partialResultsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(partialResults_);
+      } else {
+        return partialResultsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public int getPartialResultsCount() {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.size();
+      } else {
+        return partialResultsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+        getPartialResults(int index) {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.get(index);
+      } else {
+        return partialResultsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder setPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.set(index, value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder setPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult.Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.add(value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.add(index, value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult.Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.add(builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult.Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addAllPartialResults(
+        java.lang.Iterable<
+                ? extends
+                    com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                        .PartialResult>
+            values) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, partialResults_);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder clearPartialResults() {
+      if (partialResultsBuilder_ == null) {
+        partialResults_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        partialResultsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder removePartialResults(int index) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.remove(index);
+        onChanged();
+      } else {
+        partialResultsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        getPartialResultsBuilder(int index) {
+      return getPartialResultsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+            .PartialResultOrBuilder
+        getPartialResultsOrBuilder(int index) {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.get(index);
+      } else {
+        return partialResultsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                    .PartialResultOrBuilder>
+        getPartialResultsOrBuilderList() {
+      if (partialResultsBuilder_ != null) {
+        return partialResultsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(partialResults_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        addPartialResultsBuilder() {
+      return getPartialResultsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        addPartialResultsBuilder(int index) {
+      return getPartialResultsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflect the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder>
+        getPartialResultsBuilderList() {
+      return getPartialResultsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult,
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder,
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                .PartialResultOrBuilder>
+        getPartialResultsFieldBuilder() {
+      if (partialResultsBuilder_ == null) {
+        partialResultsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult,
+                com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+                    .Builder,
+                com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                    .PartialResultOrBuilder>(
+                partialResults_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        partialResults_ = null;
+      }
+      return partialResultsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<BatchMigrateResourcesOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<BatchMigrateResourcesOperationMetadata>() {
+        @java.lang.Override
+        public BatchMigrateResourcesOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchMigrateResourcesOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<BatchMigrateResourcesOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<BatchMigrateResourcesOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..b363b10bb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesOperationMetadataOrBuilder.java
@@ -0,0 +1,129 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface BatchMigrateResourcesOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  java.util.List<
+          com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      getPartialResultsList();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
+      getPartialResults(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  int getPartialResultsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
+                  .PartialResultOrBuilder>
+      getPartialResultsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflect the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResultOrBuilder
+      getPartialResultsOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequest.java
new file mode 100644
index 000000000..566c2a3a3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequest.java
@@ -0,0 +1,1270 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesRequest}
+ */
+public final class BatchMigrateResourcesRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchMigrateResourcesRequest)
+    BatchMigrateResourcesRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchMigrateResourcesRequest.newBuilder() to construct.
+  private BatchMigrateResourcesRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private BatchMigrateResourcesRequest() {
+    parent_ = "";
+    migrateResourceRequests_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new BatchMigrateResourcesRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchMigrateResourcesRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                migrateResourceRequests_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1.MigrateResourceRequest>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              migrateResourceRequests_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigrateResourceRequest.parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        migrateResourceRequests_ = java.util.Collections.unmodifiableList(migrateResourceRequests_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.class,
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The location of the migrated resource will live in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The location of the migrated resource will live in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MIGRATE_RESOURCE_REQUESTS_FIELD_NUMBER = 2;
+  private java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceRequest>
+      migrateResourceRequests_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceRequest>
+      getMigrateResourceRequestsList() {
+    return migrateResourceRequests_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>
+      getMigrateResourceRequestsOrBuilderList() {
+    return migrateResourceRequests_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public int getMigrateResourceRequestsCount() {
+    return migrateResourceRequests_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest getMigrateResourceRequests(
+      int index) {
+    return migrateResourceRequests_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder
+      getMigrateResourceRequestsOrBuilder(int index) {
+    return migrateResourceRequests_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    for (int i = 0; i < migrateResourceRequests_.size(); i++) {
+      output.writeMessage(2, migrateResourceRequests_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    for (int i = 0; i < migrateResourceRequests_.size(); i++) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2, migrateResourceRequests_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest other =
+        (com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (!getMigrateResourceRequestsList().equals(other.getMigrateResourceRequestsList()))
+      return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (getMigrateResourceRequestsCount() > 0) {
+      hash = (37 * hash) + MIGRATE_RESOURCE_REQUESTS_FIELD_NUMBER;
+      hash = (53 * hash) + getMigrateResourceRequestsList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchMigrateResourcesRequest)
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
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+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.class,
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getMigrateResourceRequestsFieldBuilder();
+      }
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+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
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+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest build() {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest result =
+          new com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest(this);
+      int from_bitField0_ = bitField0_;
+      result.parent_ = parent_;
+      if (migrateResourceRequestsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          migrateResourceRequests_ =
+              java.util.Collections.unmodifiableList(migrateResourceRequests_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.migrateResourceRequests_ = migrateResourceRequests_;
+      } else {
+        result.migrateResourceRequests_ = migrateResourceRequestsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (migrateResourceRequestsBuilder_ == null) {
+        if (!other.migrateResourceRequests_.isEmpty()) {
+          if (migrateResourceRequests_.isEmpty()) {
+            migrateResourceRequests_ = other.migrateResourceRequests_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureMigrateResourceRequestsIsMutable();
+            migrateResourceRequests_.addAll(other.migrateResourceRequests_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.migrateResourceRequests_.isEmpty()) {
+          if (migrateResourceRequestsBuilder_.isEmpty()) {
+            migrateResourceRequestsBuilder_.dispose();
+            migrateResourceRequestsBuilder_ = null;
+            migrateResourceRequests_ = other.migrateResourceRequests_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            migrateResourceRequestsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getMigrateResourceRequestsFieldBuilder()
+                    : null;
+          } else {
+            migrateResourceRequestsBuilder_.addAllMessages(other.migrateResourceRequests_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location of the migrated resource will live in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location of the migrated resource will live in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location of the migrated resource will live in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location of the migrated resource will live in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location of the migrated resource will live in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceRequest>
+        migrateResourceRequests_ = java.util.Collections.emptyList();
+
+    private void ensureMigrateResourceRequestsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        migrateResourceRequests_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.MigrateResourceRequest>(
+                migrateResourceRequests_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>
+        migrateResourceRequestsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceRequest>
+        getMigrateResourceRequestsList() {
+      if (migrateResourceRequestsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(migrateResourceRequests_);
+      } else {
+        return migrateResourceRequestsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public int getMigrateResourceRequestsCount() {
+      if (migrateResourceRequestsBuilder_ == null) {
+        return migrateResourceRequests_.size();
+      } else {
+        return migrateResourceRequestsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest getMigrateResourceRequests(
+        int index) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        return migrateResourceRequests_.get(index);
+      } else {
+        return migrateResourceRequestsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setMigrateResourceRequests(
+        int index, com.google.cloud.aiplatform.v1.MigrateResourceRequest value) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigrateResourceRequestsIsMutable();
+        migrateResourceRequests_.set(index, value);
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setMigrateResourceRequests(
+        int index, com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder builderForValue) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        ensureMigrateResourceRequestsIsMutable();
+        migrateResourceRequests_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addMigrateResourceRequests(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest value) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigrateResourceRequestsIsMutable();
+        migrateResourceRequests_.add(value);
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addMigrateResourceRequests(
+        int index, com.google.cloud.aiplatform.v1.MigrateResourceRequest value) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigrateResourceRequestsIsMutable();
+        migrateResourceRequests_.add(index, value);
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addMigrateResourceRequests(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder builderForValue) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        ensureMigrateResourceRequestsIsMutable();
+        migrateResourceRequests_.add(builderForValue.build());
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addMigrateResourceRequests(
+        int index, com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder builderForValue) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        ensureMigrateResourceRequestsIsMutable();
+        migrateResourceRequests_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addAllMigrateResourceRequests(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.MigrateResourceRequest>
+            values) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        ensureMigrateResourceRequestsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, migrateResourceRequests_);
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearMigrateResourceRequests() {
+      if (migrateResourceRequestsBuilder_ == null) {
+        migrateResourceRequests_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder removeMigrateResourceRequests(int index) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        ensureMigrateResourceRequestsIsMutable();
+        migrateResourceRequests_.remove(index);
+        onChanged();
+      } else {
+        migrateResourceRequestsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder
+        getMigrateResourceRequestsBuilder(int index) {
+      return getMigrateResourceRequestsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder
+        getMigrateResourceRequestsOrBuilder(int index) {
+      if (migrateResourceRequestsBuilder_ == null) {
+        return migrateResourceRequests_.get(index);
+      } else {
+        return migrateResourceRequestsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>
+        getMigrateResourceRequestsOrBuilderList() {
+      if (migrateResourceRequestsBuilder_ != null) {
+        return migrateResourceRequestsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(migrateResourceRequests_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder
+        addMigrateResourceRequestsBuilder() {
+      return getMigrateResourceRequestsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.MigrateResourceRequest.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder
+        addMigrateResourceRequestsBuilder(int index) {
+      return getMigrateResourceRequestsFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.MigrateResourceRequest.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The request messages specifying the resources to migrate.
+     * They must be in the same location as the destination.
+     * Up to 50 resources can be migrated in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder>
+        getMigrateResourceRequestsBuilderList() {
+      return getMigrateResourceRequestsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>
+        getMigrateResourceRequestsFieldBuilder() {
+      if (migrateResourceRequestsBuilder_ == null) {
+        migrateResourceRequestsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>(
+                migrateResourceRequests_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        migrateResourceRequests_ = null;
+      }
+      return migrateResourceRequestsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchMigrateResourcesRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchMigrateResourcesRequest)
+  private static final com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<BatchMigrateResourcesRequest> PARSER =
+      new com.google.protobuf.AbstractParser<BatchMigrateResourcesRequest>() {
+        @java.lang.Override
+        public BatchMigrateResourcesRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchMigrateResourcesRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<BatchMigrateResourcesRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<BatchMigrateResourcesRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequestOrBuilder.java
new file mode 100644
index 000000000..a489983d0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesRequestOrBuilder.java
@@ -0,0 +1,130 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface BatchMigrateResourcesRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchMigrateResourcesRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The location of the migrated resource will live in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The location of the migrated resource will live in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceRequest>
+      getMigrateResourceRequestsList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest getMigrateResourceRequests(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  int getMigrateResourceRequestsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder>
+      getMigrateResourceRequestsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The request messages specifying the resources to migrate.
+   * They must be in the same location as the destination.
+   * Up to 50 resources can be migrated in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest migrate_resource_requests = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder
+      getMigrateResourceRequestsOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponse.java
new file mode 100644
index 000000000..83a269d36
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponse.java
@@ -0,0 +1,1028 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesResponse}
+ */
+public final class BatchMigrateResourcesResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchMigrateResourcesResponse)
+    BatchMigrateResourcesResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchMigrateResourcesResponse.newBuilder() to construct.
+  private BatchMigrateResourcesResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private BatchMigrateResourcesResponse() {
+    migrateResourceResponses_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new BatchMigrateResourcesResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchMigrateResourcesResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                migrateResourceResponses_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1.MigrateResourceResponse>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              migrateResourceResponses_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigrateResourceResponse.parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        migrateResourceResponses_ =
+            java.util.Collections.unmodifiableList(migrateResourceResponses_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.class,
+            com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.Builder.class);
+  }
+
+  public static final int MIGRATE_RESOURCE_RESPONSES_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceResponse>
+      migrateResourceResponses_;
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceResponse>
+      getMigrateResourceResponsesList() {
+    return migrateResourceResponses_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder>
+      getMigrateResourceResponsesOrBuilderList() {
+    return migrateResourceResponses_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public int getMigrateResourceResponsesCount() {
+    return migrateResourceResponses_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceResponse getMigrateResourceResponses(
+      int index) {
+    return migrateResourceResponses_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder
+      getMigrateResourceResponsesOrBuilder(int index) {
+    return migrateResourceResponses_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < migrateResourceResponses_.size(); i++) {
+      output.writeMessage(1, migrateResourceResponses_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < migrateResourceResponses_.size(); i++) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              1, migrateResourceResponses_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse other =
+        (com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse) obj;
+
+    if (!getMigrateResourceResponsesList().equals(other.getMigrateResourceResponsesList()))
+      return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getMigrateResourceResponsesCount() > 0) {
+      hash = (37 * hash) + MIGRATE_RESOURCE_RESPONSES_FIELD_NUMBER;
+      hash = (53 * hash) + getMigrateResourceResponsesList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BatchMigrateResourcesResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchMigrateResourcesResponse)
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.class,
+              com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getMigrateResourceResponsesFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (migrateResourceResponsesBuilder_ == null) {
+        migrateResourceResponses_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        migrateResourceResponsesBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse build() {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse result =
+          new com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (migrateResourceResponsesBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          migrateResourceResponses_ =
+              java.util.Collections.unmodifiableList(migrateResourceResponses_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.migrateResourceResponses_ = migrateResourceResponses_;
+      } else {
+        result.migrateResourceResponses_ = migrateResourceResponsesBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.getDefaultInstance())
+        return this;
+      if (migrateResourceResponsesBuilder_ == null) {
+        if (!other.migrateResourceResponses_.isEmpty()) {
+          if (migrateResourceResponses_.isEmpty()) {
+            migrateResourceResponses_ = other.migrateResourceResponses_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureMigrateResourceResponsesIsMutable();
+            migrateResourceResponses_.addAll(other.migrateResourceResponses_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.migrateResourceResponses_.isEmpty()) {
+          if (migrateResourceResponsesBuilder_.isEmpty()) {
+            migrateResourceResponsesBuilder_.dispose();
+            migrateResourceResponsesBuilder_ = null;
+            migrateResourceResponses_ = other.migrateResourceResponses_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            migrateResourceResponsesBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getMigrateResourceResponsesFieldBuilder()
+                    : null;
+          } else {
+            migrateResourceResponsesBuilder_.addAllMessages(other.migrateResourceResponses_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceResponse>
+        migrateResourceResponses_ = java.util.Collections.emptyList();
+
+    private void ensureMigrateResourceResponsesIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        migrateResourceResponses_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.MigrateResourceResponse>(
+                migrateResourceResponses_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceResponse,
+            com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder>
+        migrateResourceResponsesBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceResponse>
+        getMigrateResourceResponsesList() {
+      if (migrateResourceResponsesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(migrateResourceResponses_);
+      } else {
+        return migrateResourceResponsesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public int getMigrateResourceResponsesCount() {
+      if (migrateResourceResponsesBuilder_ == null) {
+        return migrateResourceResponses_.size();
+      } else {
+        return migrateResourceResponsesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceResponse getMigrateResourceResponses(
+        int index) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        return migrateResourceResponses_.get(index);
+      } else {
+        return migrateResourceResponsesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder setMigrateResourceResponses(
+        int index, com.google.cloud.aiplatform.v1.MigrateResourceResponse value) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigrateResourceResponsesIsMutable();
+        migrateResourceResponses_.set(index, value);
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder setMigrateResourceResponses(
+        int index, com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder builderForValue) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        ensureMigrateResourceResponsesIsMutable();
+        migrateResourceResponses_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder addMigrateResourceResponses(
+        com.google.cloud.aiplatform.v1.MigrateResourceResponse value) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigrateResourceResponsesIsMutable();
+        migrateResourceResponses_.add(value);
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder addMigrateResourceResponses(
+        int index, com.google.cloud.aiplatform.v1.MigrateResourceResponse value) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigrateResourceResponsesIsMutable();
+        migrateResourceResponses_.add(index, value);
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder addMigrateResourceResponses(
+        com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder builderForValue) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        ensureMigrateResourceResponsesIsMutable();
+        migrateResourceResponses_.add(builderForValue.build());
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder addMigrateResourceResponses(
+        int index, com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder builderForValue) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        ensureMigrateResourceResponsesIsMutable();
+        migrateResourceResponses_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder addAllMigrateResourceResponses(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.MigrateResourceResponse>
+            values) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        ensureMigrateResourceResponsesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, migrateResourceResponses_);
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder clearMigrateResourceResponses() {
+      if (migrateResourceResponsesBuilder_ == null) {
+        migrateResourceResponses_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public Builder removeMigrateResourceResponses(int index) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        ensureMigrateResourceResponsesIsMutable();
+        migrateResourceResponses_.remove(index);
+        onChanged();
+      } else {
+        migrateResourceResponsesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder
+        getMigrateResourceResponsesBuilder(int index) {
+      return getMigrateResourceResponsesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder
+        getMigrateResourceResponsesOrBuilder(int index) {
+      if (migrateResourceResponsesBuilder_ == null) {
+        return migrateResourceResponses_.get(index);
+      } else {
+        return migrateResourceResponsesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder>
+        getMigrateResourceResponsesOrBuilderList() {
+      if (migrateResourceResponsesBuilder_ != null) {
+        return migrateResourceResponsesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(migrateResourceResponses_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder
+        addMigrateResourceResponsesBuilder() {
+      return getMigrateResourceResponsesFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.MigrateResourceResponse.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder
+        addMigrateResourceResponsesBuilder(int index) {
+      return getMigrateResourceResponsesFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.MigrateResourceResponse.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Successfully migrated resources.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder>
+        getMigrateResourceResponsesBuilderList() {
+      return getMigrateResourceResponsesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceResponse,
+            com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder>
+        getMigrateResourceResponsesFieldBuilder() {
+      if (migrateResourceResponsesBuilder_ == null) {
+        migrateResourceResponsesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigrateResourceResponse,
+                com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder,
+                com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder>(
+                migrateResourceResponses_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        migrateResourceResponses_ = null;
+      }
+      return migrateResourceResponsesBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchMigrateResourcesResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchMigrateResourcesResponse)
+  private static final com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<BatchMigrateResourcesResponse> PARSER =
+      new com.google.protobuf.AbstractParser<BatchMigrateResourcesResponse>() {
+        @java.lang.Override
+        public BatchMigrateResourcesResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchMigrateResourcesResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<BatchMigrateResourcesResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<BatchMigrateResourcesResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponseOrBuilder.java
new file mode 100644
index 000000000..d0634cadc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchMigrateResourcesResponseOrBuilder.java
@@ -0,0 +1,89 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface BatchMigrateResourcesResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchMigrateResourcesResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.MigrateResourceResponse>
+      getMigrateResourceResponsesList();
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceResponse getMigrateResourceResponses(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  int getMigrateResourceResponsesCount();
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder>
+      getMigrateResourceResponsesOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Successfully migrated resources.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.MigrateResourceResponse migrate_resource_responses = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder
+      getMigrateResourceResponsesOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJob.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJob.java
new file mode 100644
index 000000000..6e2883ba7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJob.java
@@ -0,0 +1,11152 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/batch_prediction_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
+ * on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+ * predictions for significant portion of the instances fail, the job may finish
+ * without attempting predictions for all remaining instances.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob}
+ */
+public final class BatchPredictionJob extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchPredictionJob)
+    BatchPredictionJobOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BatchPredictionJob.newBuilder() to construct.
+  private BatchPredictionJob(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private BatchPredictionJob() {
+    name_ = "";
+    displayName_ = "";
+    model_ = "";
+    state_ = 0;
+    partialFailures_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new BatchPredictionJob();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BatchPredictionJob(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              model_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder subBuilder =
+                  null;
+              if (inputConfig_ != null) {
+                subBuilder = inputConfig_.toBuilder();
+              }
+              inputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputConfig_);
+                inputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (modelParameters_ != null) {
+                subBuilder = modelParameters_.toBuilder();
+              }
+              modelParameters_ =
+                  input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(modelParameters_);
+                modelParameters_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder subBuilder =
+                  null;
+              if (outputConfig_ != null) {
+                subBuilder = outputConfig_.toBuilder();
+              }
+              outputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputConfig_);
+                outputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 58:
+            {
+              com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder subBuilder = null;
+              if (dedicatedResources_ != null) {
+                subBuilder = dedicatedResources_.toBuilder();
+              }
+              dedicatedResources_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.BatchDedicatedResources.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(dedicatedResources_);
+                dedicatedResources_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 66:
+            {
+              com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder subBuilder = null;
+              if (manualBatchTuningParameters_ != null) {
+                subBuilder = manualBatchTuningParameters_.toBuilder();
+              }
+              manualBatchTuningParameters_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(manualBatchTuningParameters_);
+                manualBatchTuningParameters_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 74:
+            {
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder subBuilder =
+                  null;
+              if (outputInfo_ != null) {
+                subBuilder = outputInfo_.toBuilder();
+              }
+              outputInfo_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputInfo_);
+                outputInfo_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 80:
+            {
+              int rawValue = input.readEnum();
+
+              state_ = rawValue;
+              break;
+            }
+          case 90:
+            {
+              com.google.rpc.Status.Builder subBuilder = null;
+              if (error_ != null) {
+                subBuilder = error_.toBuilder();
+              }
+              error_ = input.readMessage(com.google.rpc.Status.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(error_);
+                error_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 98:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                partialFailures_ = new java.util.ArrayList<com.google.rpc.Status>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              partialFailures_.add(
+                  input.readMessage(com.google.rpc.Status.parser(), extensionRegistry));
+              break;
+            }
+          case 106:
+            {
+              com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder subBuilder = null;
+              if (resourcesConsumed_ != null) {
+                subBuilder = resourcesConsumed_.toBuilder();
+              }
+              resourcesConsumed_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ResourcesConsumed.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(resourcesConsumed_);
+                resourcesConsumed_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 114:
+            {
+              com.google.cloud.aiplatform.v1.CompletionStats.Builder subBuilder = null;
+              if (completionStats_ != null) {
+                subBuilder = completionStats_.toBuilder();
+              }
+              completionStats_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.CompletionStats.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(completionStats_);
+                completionStats_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 122:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 130:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (startTime_ != null) {
+                subBuilder = startTime_.toBuilder();
+              }
+              startTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(startTime_);
+                startTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 138:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (endTime_ != null) {
+                subBuilder = endTime_.toBuilder();
+              }
+              endTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(endTime_);
+                endTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 146:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 154:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000002;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EncryptionSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        partialFailures_ = java.util.Collections.unmodifiableList(partialFailures_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+        .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 19:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+        .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.class,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder.class);
+  }
+
+  public interface InputConfigOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location for the input instances.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+     *
+     * @return Whether the gcsSource field is set.
+     */
+    boolean hasGcsSource();
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location for the input instances.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+     *
+     * @return The gcsSource.
+     */
+    com.google.cloud.aiplatform.v1.GcsSource getGcsSource();
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location for the input instances.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+     */
+    com.google.cloud.aiplatform.v1.GcsSourceOrBuilder getGcsSourceOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery location of the input table.
+     * The schema of the table should be in the format described by the given
+     * context OpenAPI Schema, if one is provided. The table may contain
+     * additional columns that are not described by the schema, and they will
+     * be ignored.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+     *
+     * @return Whether the bigquerySource field is set.
+     */
+    boolean hasBigquerySource();
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery location of the input table.
+     * The schema of the table should be in the format described by the given
+     * context OpenAPI Schema, if one is provided. The table may contain
+     * additional columns that are not described by the schema, and they will
+     * be ignored.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+     *
+     * @return The bigquerySource.
+     */
+    com.google.cloud.aiplatform.v1.BigQuerySource getBigquerySource();
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery location of the input table.
+     * The schema of the table should be in the format described by the given
+     * context OpenAPI Schema, if one is provided. The table may contain
+     * additional columns that are not described by the schema, and they will
+     * be ignored.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+     */
+    com.google.cloud.aiplatform.v1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The format in which instances are given, must be one of the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+     * </pre>
+     *
+     * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The instancesFormat.
+     */
+    java.lang.String getInstancesFormat();
+    /**
+     *
+     *
+     * <pre>
+     * Required. The format in which instances are given, must be one of the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+     * </pre>
+     *
+     * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for instancesFormat.
+     */
+    com.google.protobuf.ByteString getInstancesFormatBytes();
+
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.SourceCase getSourceCase();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input
+   * formats, and how instances should be expressed via any of them.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig}
+   */
+  public static final class InputConfig extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig)
+      InputConfigOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use InputConfig.newBuilder() to construct.
+    private InputConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private InputConfig() {
+      instancesFormat_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new InputConfig();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private InputConfig(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                instancesFormat_ = s;
+                break;
+              }
+            case 18:
+              {
+                com.google.cloud.aiplatform.v1.GcsSource.Builder subBuilder = null;
+                if (sourceCase_ == 2) {
+                  subBuilder = ((com.google.cloud.aiplatform.v1.GcsSource) source_).toBuilder();
+                }
+                source_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.GcsSource.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.GcsSource) source_);
+                  source_ = subBuilder.buildPartial();
+                }
+                sourceCase_ = 2;
+                break;
+              }
+            case 26:
+              {
+                com.google.cloud.aiplatform.v1.BigQuerySource.Builder subBuilder = null;
+                if (sourceCase_ == 3) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.BigQuerySource) source_).toBuilder();
+                }
+                source_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.BigQuerySource.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.BigQuerySource) source_);
+                  source_ = subBuilder.buildPartial();
+                }
+                sourceCase_ = 3;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+          .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+          .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.class,
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder.class);
+    }
+
+    private int sourceCase_ = 0;
+    private java.lang.Object source_;
+
+    public enum SourceCase
+        implements
+            com.google.protobuf.Internal.EnumLite,
+            com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+      GCS_SOURCE(2),
+      BIGQUERY_SOURCE(3),
+      SOURCE_NOT_SET(0);
+      private final int value;
+
+      private SourceCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @param value The number of the enum to look for.
+       * @return The enum associated with the given number.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static SourceCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static SourceCase forNumber(int value) {
+        switch (value) {
+          case 2:
+            return GCS_SOURCE;
+          case 3:
+            return BIGQUERY_SOURCE;
+          case 0:
+            return SOURCE_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public SourceCase getSourceCase() {
+      return SourceCase.forNumber(sourceCase_);
+    }
+
+    public static final int GCS_SOURCE_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location for the input instances.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+     *
+     * @return Whether the gcsSource field is set.
+     */
+    @java.lang.Override
+    public boolean hasGcsSource() {
+      return sourceCase_ == 2;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location for the input instances.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+     *
+     * @return The gcsSource.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsSource getGcsSource() {
+      if (sourceCase_ == 2) {
+        return (com.google.cloud.aiplatform.v1.GcsSource) source_;
+      }
+      return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location for the input instances.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() {
+      if (sourceCase_ == 2) {
+        return (com.google.cloud.aiplatform.v1.GcsSource) source_;
+      }
+      return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+    }
+
+    public static final int BIGQUERY_SOURCE_FIELD_NUMBER = 3;
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery location of the input table.
+     * The schema of the table should be in the format described by the given
+     * context OpenAPI Schema, if one is provided. The table may contain
+     * additional columns that are not described by the schema, and they will
+     * be ignored.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+     *
+     * @return Whether the bigquerySource field is set.
+     */
+    @java.lang.Override
+    public boolean hasBigquerySource() {
+      return sourceCase_ == 3;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery location of the input table.
+     * The schema of the table should be in the format described by the given
+     * context OpenAPI Schema, if one is provided. The table may contain
+     * additional columns that are not described by the schema, and they will
+     * be ignored.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+     *
+     * @return The bigquerySource.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQuerySource getBigquerySource() {
+      if (sourceCase_ == 3) {
+        return (com.google.cloud.aiplatform.v1.BigQuerySource) source_;
+      }
+      return com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery location of the input table.
+     * The schema of the table should be in the format described by the given
+     * context OpenAPI Schema, if one is provided. The table may contain
+     * additional columns that are not described by the schema, and they will
+     * be ignored.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() {
+      if (sourceCase_ == 3) {
+        return (com.google.cloud.aiplatform.v1.BigQuerySource) source_;
+      }
+      return com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance();
+    }
+
+    public static final int INSTANCES_FORMAT_FIELD_NUMBER = 1;
+    private volatile java.lang.Object instancesFormat_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The format in which instances are given, must be one of the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+     * </pre>
+     *
+     * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The instancesFormat.
+     */
+    @java.lang.Override
+    public java.lang.String getInstancesFormat() {
+      java.lang.Object ref = instancesFormat_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        instancesFormat_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The format in which instances are given, must be one of the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+     * </pre>
+     *
+     * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for instancesFormat.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getInstancesFormatBytes() {
+      java.lang.Object ref = instancesFormat_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        instancesFormat_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getInstancesFormatBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, instancesFormat_);
+      }
+      if (sourceCase_ == 2) {
+        output.writeMessage(2, (com.google.cloud.aiplatform.v1.GcsSource) source_);
+      }
+      if (sourceCase_ == 3) {
+        output.writeMessage(3, (com.google.cloud.aiplatform.v1.BigQuerySource) source_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getInstancesFormatBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, instancesFormat_);
+      }
+      if (sourceCase_ == 2) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                2, (com.google.cloud.aiplatform.v1.GcsSource) source_);
+      }
+      if (sourceCase_ == 3) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                3, (com.google.cloud.aiplatform.v1.BigQuerySource) source_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig other =
+          (com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig) obj;
+
+      if (!getInstancesFormat().equals(other.getInstancesFormat())) return false;
+      if (!getSourceCase().equals(other.getSourceCase())) return false;
+      switch (sourceCase_) {
+        case 2:
+          if (!getGcsSource().equals(other.getGcsSource())) return false;
+          break;
+        case 3:
+          if (!getBigquerySource().equals(other.getBigquerySource())) return false;
+          break;
+        case 0:
+        default:
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + INSTANCES_FORMAT_FIELD_NUMBER;
+      hash = (53 * hash) + getInstancesFormat().hashCode();
+      switch (sourceCase_) {
+        case 2:
+          hash = (37 * hash) + GCS_SOURCE_FIELD_NUMBER;
+          hash = (53 * hash) + getGcsSource().hashCode();
+          break;
+        case 3:
+          hash = (37 * hash) + BIGQUERY_SOURCE_FIELD_NUMBER;
+          hash = (53 * hash) + getBigquerySource().hashCode();
+          break;
+        case 0:
+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input
+     * formats, and how instances should be expressed via any of them.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig)
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfigOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.class,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        instancesFormat_ = "";
+
+        sourceCase_ = 0;
+        source_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig build() {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig buildPartial() {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig result =
+            new com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig(this);
+        if (sourceCase_ == 2) {
+          if (gcsSourceBuilder_ == null) {
+            result.source_ = source_;
+          } else {
+            result.source_ = gcsSourceBuilder_.build();
+          }
+        }
+        if (sourceCase_ == 3) {
+          if (bigquerySourceBuilder_ == null) {
+            result.source_ = source_;
+          } else {
+            result.source_ = bigquerySourceBuilder_.build();
+          }
+        }
+        result.instancesFormat_ = instancesFormat_;
+        result.sourceCase_ = sourceCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.getDefaultInstance())
+          return this;
+        if (!other.getInstancesFormat().isEmpty()) {
+          instancesFormat_ = other.instancesFormat_;
+          onChanged();
+        }
+        switch (other.getSourceCase()) {
+          case GCS_SOURCE:
+            {
+              mergeGcsSource(other.getGcsSource());
+              break;
+            }
+          case BIGQUERY_SOURCE:
+            {
+              mergeBigquerySource(other.getBigquerySource());
+              break;
+            }
+          case SOURCE_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int sourceCase_ = 0;
+      private java.lang.Object source_;
+
+      public SourceCase getSourceCase() {
+        return SourceCase.forNumber(sourceCase_);
+      }
+
+      public Builder clearSource() {
+        sourceCase_ = 0;
+        source_ = null;
+        onChanged();
+        return this;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.GcsSource,
+              com.google.cloud.aiplatform.v1.GcsSource.Builder,
+              com.google.cloud.aiplatform.v1.GcsSourceOrBuilder>
+          gcsSourceBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       *
+       * @return Whether the gcsSource field is set.
+       */
+      @java.lang.Override
+      public boolean hasGcsSource() {
+        return sourceCase_ == 2;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       *
+       * @return The gcsSource.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.GcsSource getGcsSource() {
+        if (gcsSourceBuilder_ == null) {
+          if (sourceCase_ == 2) {
+            return (com.google.cloud.aiplatform.v1.GcsSource) source_;
+          }
+          return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+        } else {
+          if (sourceCase_ == 2) {
+            return gcsSourceBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       */
+      public Builder setGcsSource(com.google.cloud.aiplatform.v1.GcsSource value) {
+        if (gcsSourceBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          source_ = value;
+          onChanged();
+        } else {
+          gcsSourceBuilder_.setMessage(value);
+        }
+        sourceCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       */
+      public Builder setGcsSource(
+          com.google.cloud.aiplatform.v1.GcsSource.Builder builderForValue) {
+        if (gcsSourceBuilder_ == null) {
+          source_ = builderForValue.build();
+          onChanged();
+        } else {
+          gcsSourceBuilder_.setMessage(builderForValue.build());
+        }
+        sourceCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       */
+      public Builder mergeGcsSource(com.google.cloud.aiplatform.v1.GcsSource value) {
+        if (gcsSourceBuilder_ == null) {
+          if (sourceCase_ == 2
+              && source_ != com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance()) {
+            source_ =
+                com.google.cloud.aiplatform.v1.GcsSource.newBuilder(
+                        (com.google.cloud.aiplatform.v1.GcsSource) source_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            source_ = value;
+          }
+          onChanged();
+        } else {
+          if (sourceCase_ == 2) {
+            gcsSourceBuilder_.mergeFrom(value);
+          }
+          gcsSourceBuilder_.setMessage(value);
+        }
+        sourceCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       */
+      public Builder clearGcsSource() {
+        if (gcsSourceBuilder_ == null) {
+          if (sourceCase_ == 2) {
+            sourceCase_ = 0;
+            source_ = null;
+            onChanged();
+          }
+        } else {
+          if (sourceCase_ == 2) {
+            sourceCase_ = 0;
+            source_ = null;
+          }
+          gcsSourceBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       */
+      public com.google.cloud.aiplatform.v1.GcsSource.Builder getGcsSourceBuilder() {
+        return getGcsSourceFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() {
+        if ((sourceCase_ == 2) && (gcsSourceBuilder_ != null)) {
+          return gcsSourceBuilder_.getMessageOrBuilder();
+        } else {
+          if (sourceCase_ == 2) {
+            return (com.google.cloud.aiplatform.v1.GcsSource) source_;
+          }
+          return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location for the input instances.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.GcsSource,
+              com.google.cloud.aiplatform.v1.GcsSource.Builder,
+              com.google.cloud.aiplatform.v1.GcsSourceOrBuilder>
+          getGcsSourceFieldBuilder() {
+        if (gcsSourceBuilder_ == null) {
+          if (!(sourceCase_ == 2)) {
+            source_ = com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+          }
+          gcsSourceBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.GcsSource,
+                  com.google.cloud.aiplatform.v1.GcsSource.Builder,
+                  com.google.cloud.aiplatform.v1.GcsSourceOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.GcsSource) source_,
+                  getParentForChildren(),
+                  isClean());
+          source_ = null;
+        }
+        sourceCase_ = 2;
+        onChanged();
+        ;
+        return gcsSourceBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.BigQuerySource,
+              com.google.cloud.aiplatform.v1.BigQuerySource.Builder,
+              com.google.cloud.aiplatform.v1.BigQuerySourceOrBuilder>
+          bigquerySourceBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       *
+       * @return Whether the bigquerySource field is set.
+       */
+      @java.lang.Override
+      public boolean hasBigquerySource() {
+        return sourceCase_ == 3;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       *
+       * @return The bigquerySource.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BigQuerySource getBigquerySource() {
+        if (bigquerySourceBuilder_ == null) {
+          if (sourceCase_ == 3) {
+            return (com.google.cloud.aiplatform.v1.BigQuerySource) source_;
+          }
+          return com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance();
+        } else {
+          if (sourceCase_ == 3) {
+            return bigquerySourceBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       */
+      public Builder setBigquerySource(com.google.cloud.aiplatform.v1.BigQuerySource value) {
+        if (bigquerySourceBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          source_ = value;
+          onChanged();
+        } else {
+          bigquerySourceBuilder_.setMessage(value);
+        }
+        sourceCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       */
+      public Builder setBigquerySource(
+          com.google.cloud.aiplatform.v1.BigQuerySource.Builder builderForValue) {
+        if (bigquerySourceBuilder_ == null) {
+          source_ = builderForValue.build();
+          onChanged();
+        } else {
+          bigquerySourceBuilder_.setMessage(builderForValue.build());
+        }
+        sourceCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       */
+      public Builder mergeBigquerySource(com.google.cloud.aiplatform.v1.BigQuerySource value) {
+        if (bigquerySourceBuilder_ == null) {
+          if (sourceCase_ == 3
+              && source_ != com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance()) {
+            source_ =
+                com.google.cloud.aiplatform.v1.BigQuerySource.newBuilder(
+                        (com.google.cloud.aiplatform.v1.BigQuerySource) source_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            source_ = value;
+          }
+          onChanged();
+        } else {
+          if (sourceCase_ == 3) {
+            bigquerySourceBuilder_.mergeFrom(value);
+          }
+          bigquerySourceBuilder_.setMessage(value);
+        }
+        sourceCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       */
+      public Builder clearBigquerySource() {
+        if (bigquerySourceBuilder_ == null) {
+          if (sourceCase_ == 3) {
+            sourceCase_ = 0;
+            source_ = null;
+            onChanged();
+          }
+        } else {
+          if (sourceCase_ == 3) {
+            sourceCase_ = 0;
+            source_ = null;
+          }
+          bigquerySourceBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       */
+      public com.google.cloud.aiplatform.v1.BigQuerySource.Builder getBigquerySourceBuilder() {
+        return getBigquerySourceFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BigQuerySourceOrBuilder getBigquerySourceOrBuilder() {
+        if ((sourceCase_ == 3) && (bigquerySourceBuilder_ != null)) {
+          return bigquerySourceBuilder_.getMessageOrBuilder();
+        } else {
+          if (sourceCase_ == 3) {
+            return (com.google.cloud.aiplatform.v1.BigQuerySource) source_;
+          }
+          return com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery location of the input table.
+       * The schema of the table should be in the format described by the given
+       * context OpenAPI Schema, if one is provided. The table may contain
+       * additional columns that are not described by the schema, and they will
+       * be ignored.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.BigQuerySource,
+              com.google.cloud.aiplatform.v1.BigQuerySource.Builder,
+              com.google.cloud.aiplatform.v1.BigQuerySourceOrBuilder>
+          getBigquerySourceFieldBuilder() {
+        if (bigquerySourceBuilder_ == null) {
+          if (!(sourceCase_ == 3)) {
+            source_ = com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance();
+          }
+          bigquerySourceBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.BigQuerySource,
+                  com.google.cloud.aiplatform.v1.BigQuerySource.Builder,
+                  com.google.cloud.aiplatform.v1.BigQuerySourceOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.BigQuerySource) source_,
+                  getParentForChildren(),
+                  isClean());
+          source_ = null;
+        }
+        sourceCase_ = 3;
+        onChanged();
+        ;
+        return bigquerySourceBuilder_;
+      }
+
+      private java.lang.Object instancesFormat_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which instances are given, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+       * </pre>
+       *
+       * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The instancesFormat.
+       */
+      public java.lang.String getInstancesFormat() {
+        java.lang.Object ref = instancesFormat_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          instancesFormat_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which instances are given, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+       * </pre>
+       *
+       * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The bytes for instancesFormat.
+       */
+      public com.google.protobuf.ByteString getInstancesFormatBytes() {
+        java.lang.Object ref = instancesFormat_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          instancesFormat_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which instances are given, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+       * </pre>
+       *
+       * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The instancesFormat to set.
+       * @return This builder for chaining.
+       */
+      public Builder setInstancesFormat(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        instancesFormat_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which instances are given, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+       * </pre>
+       *
+       * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearInstancesFormat() {
+
+        instancesFormat_ = getDefaultInstance().getInstancesFormat();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which instances are given, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+       * </pre>
+       *
+       * <code>string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The bytes for instancesFormat to set.
+       * @return This builder for chaining.
+       */
+      public Builder setInstancesFormatBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        instancesFormat_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig)
+    private static final com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig();
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<InputConfig> PARSER =
+        new com.google.protobuf.AbstractParser<InputConfig>() {
+          @java.lang.Override
+          public InputConfig parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new InputConfig(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<InputConfig> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<InputConfig> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface OutputConfigOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location of the directory where the output is
+     * to be written to. In the given directory a new directory is created.
+     * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * Inside of it files `predictions_0001.&lt;extension&gt;`,
+     * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+     * are created where `&lt;extension&gt;` depends on chosen
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+     * number of successfully predicted instances.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+     * If prediction for any instance failed (partially or completely), then
+     * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+     * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+     * of failed predictions). These files contain the failed instances,
+     * as per their schema, followed by an additional `error` field which as
+     * value has
+     * [`google.rpc.Status`](Status)
+     * containing only `code` and `message` fields.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+     *
+     * @return Whether the gcsDestination field is set.
+     */
+    boolean hasGcsDestination();
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location of the directory where the output is
+     * to be written to. In the given directory a new directory is created.
+     * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * Inside of it files `predictions_0001.&lt;extension&gt;`,
+     * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+     * are created where `&lt;extension&gt;` depends on chosen
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+     * number of successfully predicted instances.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+     * If prediction for any instance failed (partially or completely), then
+     * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+     * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+     * of failed predictions). These files contain the failed instances,
+     * as per their schema, followed by an additional `error` field which as
+     * value has
+     * [`google.rpc.Status`](Status)
+     * containing only `code` and `message` fields.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+     *
+     * @return The gcsDestination.
+     */
+    com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination();
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location of the directory where the output is
+     * to be written to. In the given directory a new directory is created.
+     * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * Inside of it files `predictions_0001.&lt;extension&gt;`,
+     * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+     * are created where `&lt;extension&gt;` depends on chosen
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+     * number of successfully predicted instances.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+     * If prediction for any instance failed (partially or completely), then
+     * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+     * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+     * of failed predictions). These files contain the failed instances,
+     * as per their schema, followed by an additional `error` field which as
+     * value has
+     * [`google.rpc.Status`](Status)
+     * containing only `code` and `message` fields.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+     */
+    com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery project location where the output is to be written to.
+     * In the given project a new dataset is created with name
+     * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+     * where &lt;model-display-name&gt; is made
+     * BigQuery-dataset-name compatible (for example, most special characters
+     * become underscores), and timestamp is in
+     * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+     * two tables will be created, `predictions`, and `errors`.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then the tables have columns as follows: The `predictions`
+     * table contains instances for which the prediction succeeded, it
+     * has columns as per a concatenation of the Model's instance and
+     * prediction schemata. The `errors` table contains rows for which the
+     * prediction has failed, it has instance columns, as per the
+     * instance schema, followed by a single "errors" column, which as values
+     * has [`google.rpc.Status`](Status)
+     * represented as a STRUCT, and containing only `code` and `message`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+     *
+     * @return Whether the bigqueryDestination field is set.
+     */
+    boolean hasBigqueryDestination();
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery project location where the output is to be written to.
+     * In the given project a new dataset is created with name
+     * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+     * where &lt;model-display-name&gt; is made
+     * BigQuery-dataset-name compatible (for example, most special characters
+     * become underscores), and timestamp is in
+     * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+     * two tables will be created, `predictions`, and `errors`.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then the tables have columns as follows: The `predictions`
+     * table contains instances for which the prediction succeeded, it
+     * has columns as per a concatenation of the Model's instance and
+     * prediction schemata. The `errors` table contains rows for which the
+     * prediction has failed, it has instance columns, as per the
+     * instance schema, followed by a single "errors" column, which as values
+     * has [`google.rpc.Status`](Status)
+     * represented as a STRUCT, and containing only `code` and `message`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+     *
+     * @return The bigqueryDestination.
+     */
+    com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination();
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery project location where the output is to be written to.
+     * In the given project a new dataset is created with name
+     * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+     * where &lt;model-display-name&gt; is made
+     * BigQuery-dataset-name compatible (for example, most special characters
+     * become underscores), and timestamp is in
+     * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+     * two tables will be created, `predictions`, and `errors`.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then the tables have columns as follows: The `predictions`
+     * table contains instances for which the prediction succeeded, it
+     * has columns as per a concatenation of the Model's instance and
+     * prediction schemata. The `errors` table contains rows for which the
+     * prediction has failed, it has instance columns, as per the
+     * instance schema, followed by a single "errors" column, which as values
+     * has [`google.rpc.Status`](Status)
+     * represented as a STRUCT, and containing only `code` and `message`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+     */
+    com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The format in which AI Platform gives the predictions, must be one of the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The predictionsFormat.
+     */
+    java.lang.String getPredictionsFormat();
+    /**
+     *
+     *
+     * <pre>
+     * Required. The format in which AI Platform gives the predictions, must be one of the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for predictionsFormat.
+     */
+    com.google.protobuf.ByteString getPredictionsFormatBytes();
+
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.DestinationCase
+        getDestinationCase();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output
+   * formats, and how predictions are expressed via any of them.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig}
+   */
+  public static final class OutputConfig extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig)
+      OutputConfigOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use OutputConfig.newBuilder() to construct.
+    private OutputConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private OutputConfig() {
+      predictionsFormat_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new OutputConfig();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private OutputConfig(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                predictionsFormat_ = s;
+                break;
+              }
+            case 18:
+              {
+                com.google.cloud.aiplatform.v1.GcsDestination.Builder subBuilder = null;
+                if (destinationCase_ == 2) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.GcsDestination) destination_).toBuilder();
+                }
+                destination_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.GcsDestination.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.GcsDestination) destination_);
+                  destination_ = subBuilder.buildPartial();
+                }
+                destinationCase_ = 2;
+                break;
+              }
+            case 26:
+              {
+                com.google.cloud.aiplatform.v1.BigQueryDestination.Builder subBuilder = null;
+                if (destinationCase_ == 3) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.BigQueryDestination) destination_)
+                          .toBuilder();
+                }
+                destination_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.BigQueryDestination.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_);
+                  destination_ = subBuilder.buildPartial();
+                }
+                destinationCase_ = 3;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+          .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+          .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.class,
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder.class);
+    }
+
+    private int destinationCase_ = 0;
+    private java.lang.Object destination_;
+
+    public enum DestinationCase
+        implements
+            com.google.protobuf.Internal.EnumLite,
+            com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+      GCS_DESTINATION(2),
+      BIGQUERY_DESTINATION(3),
+      DESTINATION_NOT_SET(0);
+      private final int value;
+
+      private DestinationCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @param value The number of the enum to look for.
+       * @return The enum associated with the given number.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static DestinationCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static DestinationCase forNumber(int value) {
+        switch (value) {
+          case 2:
+            return GCS_DESTINATION;
+          case 3:
+            return BIGQUERY_DESTINATION;
+          case 0:
+            return DESTINATION_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public DestinationCase getDestinationCase() {
+      return DestinationCase.forNumber(destinationCase_);
+    }
+
+    public static final int GCS_DESTINATION_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location of the directory where the output is
+     * to be written to. In the given directory a new directory is created.
+     * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * Inside of it files `predictions_0001.&lt;extension&gt;`,
+     * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+     * are created where `&lt;extension&gt;` depends on chosen
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+     * number of successfully predicted instances.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+     * If prediction for any instance failed (partially or completely), then
+     * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+     * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+     * of failed predictions). These files contain the failed instances,
+     * as per their schema, followed by an additional `error` field which as
+     * value has
+     * [`google.rpc.Status`](Status)
+     * containing only `code` and `message` fields.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+     *
+     * @return Whether the gcsDestination field is set.
+     */
+    @java.lang.Override
+    public boolean hasGcsDestination() {
+      return destinationCase_ == 2;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location of the directory where the output is
+     * to be written to. In the given directory a new directory is created.
+     * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * Inside of it files `predictions_0001.&lt;extension&gt;`,
+     * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+     * are created where `&lt;extension&gt;` depends on chosen
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+     * number of successfully predicted instances.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+     * If prediction for any instance failed (partially or completely), then
+     * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+     * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+     * of failed predictions). These files contain the failed instances,
+     * as per their schema, followed by an additional `error` field which as
+     * value has
+     * [`google.rpc.Status`](Status)
+     * containing only `code` and `message` fields.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+     *
+     * @return The gcsDestination.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination() {
+      if (destinationCase_ == 2) {
+        return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+      }
+      return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location of the directory where the output is
+     * to be written to. In the given directory a new directory is created.
+     * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * Inside of it files `predictions_0001.&lt;extension&gt;`,
+     * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+     * are created where `&lt;extension&gt;` depends on chosen
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+     * number of successfully predicted instances.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then each such file contains predictions as per the
+     * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+     * If prediction for any instance failed (partially or completely), then
+     * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+     * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+     * of failed predictions). These files contain the failed instances,
+     * as per their schema, followed by an additional `error` field which as
+     * value has
+     * [`google.rpc.Status`](Status)
+     * containing only `code` and `message` fields.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+      if (destinationCase_ == 2) {
+        return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+      }
+      return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+    }
+
+    public static final int BIGQUERY_DESTINATION_FIELD_NUMBER = 3;
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery project location where the output is to be written to.
+     * In the given project a new dataset is created with name
+     * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+     * where &lt;model-display-name&gt; is made
+     * BigQuery-dataset-name compatible (for example, most special characters
+     * become underscores), and timestamp is in
+     * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+     * two tables will be created, `predictions`, and `errors`.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then the tables have columns as follows: The `predictions`
+     * table contains instances for which the prediction succeeded, it
+     * has columns as per a concatenation of the Model's instance and
+     * prediction schemata. The `errors` table contains rows for which the
+     * prediction has failed, it has instance columns, as per the
+     * instance schema, followed by a single "errors" column, which as values
+     * has [`google.rpc.Status`](Status)
+     * represented as a STRUCT, and containing only `code` and `message`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+     *
+     * @return Whether the bigqueryDestination field is set.
+     */
+    @java.lang.Override
+    public boolean hasBigqueryDestination() {
+      return destinationCase_ == 3;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery project location where the output is to be written to.
+     * In the given project a new dataset is created with name
+     * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+     * where &lt;model-display-name&gt; is made
+     * BigQuery-dataset-name compatible (for example, most special characters
+     * become underscores), and timestamp is in
+     * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+     * two tables will be created, `predictions`, and `errors`.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then the tables have columns as follows: The `predictions`
+     * table contains instances for which the prediction succeeded, it
+     * has columns as per a concatenation of the Model's instance and
+     * prediction schemata. The `errors` table contains rows for which the
+     * prediction has failed, it has instance columns, as per the
+     * instance schema, followed by a single "errors" column, which as values
+     * has [`google.rpc.Status`](Status)
+     * represented as a STRUCT, and containing only `code` and `message`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+     *
+     * @return The bigqueryDestination.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination() {
+      if (destinationCase_ == 3) {
+        return (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_;
+      }
+      return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The BigQuery project location where the output is to be written to.
+     * In the given project a new dataset is created with name
+     * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+     * where &lt;model-display-name&gt; is made
+     * BigQuery-dataset-name compatible (for example, most special characters
+     * become underscores), and timestamp is in
+     * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+     * two tables will be created, `predictions`, and `errors`.
+     * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+     * defined then the tables have columns as follows: The `predictions`
+     * table contains instances for which the prediction succeeded, it
+     * has columns as per a concatenation of the Model's instance and
+     * prediction schemata. The `errors` table contains rows for which the
+     * prediction has failed, it has instance columns, as per the
+     * instance schema, followed by a single "errors" column, which as values
+     * has [`google.rpc.Status`](Status)
+     * represented as a STRUCT, and containing only `code` and `message`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder
+        getBigqueryDestinationOrBuilder() {
+      if (destinationCase_ == 3) {
+        return (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_;
+      }
+      return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+    }
+
+    public static final int PREDICTIONS_FORMAT_FIELD_NUMBER = 1;
+    private volatile java.lang.Object predictionsFormat_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The format in which AI Platform gives the predictions, must be one of the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The predictionsFormat.
+     */
+    @java.lang.Override
+    public java.lang.String getPredictionsFormat() {
+      java.lang.Object ref = predictionsFormat_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        predictionsFormat_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The format in which AI Platform gives the predictions, must be one of the
+     * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for predictionsFormat.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getPredictionsFormatBytes() {
+      java.lang.Object ref = predictionsFormat_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        predictionsFormat_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
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+      }
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+      unknownFields.writeTo(output);
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+    public int getSerializedSize() {
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+
+      size = 0;
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+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig other =
+          (com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig) obj;
+
+      if (!getPredictionsFormat().equals(other.getPredictionsFormat())) return false;
+      if (!getDestinationCase().equals(other.getDestinationCase())) return false;
+      switch (destinationCase_) {
+        case 2:
+          if (!getGcsDestination().equals(other.getGcsDestination())) return false;
+          break;
+        case 3:
+          if (!getBigqueryDestination().equals(other.getBigqueryDestination())) return false;
+          break;
+        case 0:
+        default:
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + PREDICTIONS_FORMAT_FIELD_NUMBER;
+      hash = (53 * hash) + getPredictionsFormat().hashCode();
+      switch (destinationCase_) {
+        case 2:
+          hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER;
+          hash = (53 * hash) + getGcsDestination().hashCode();
+          break;
+        case 3:
+          hash = (37 * hash) + BIGQUERY_DESTINATION_FIELD_NUMBER;
+          hash = (53 * hash) + getBigqueryDestination().hashCode();
+          break;
+        case 0:
+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+     * See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output
+     * formats, and how predictions are expressed via any of them.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig)
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfigOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.class,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        predictionsFormat_ = "";
+
+        destinationCase_ = 0;
+        destination_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig build() {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig buildPartial() {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig result =
+            new com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig(this);
+        if (destinationCase_ == 2) {
+          if (gcsDestinationBuilder_ == null) {
+            result.destination_ = destination_;
+          } else {
+            result.destination_ = gcsDestinationBuilder_.build();
+          }
+        }
+        if (destinationCase_ == 3) {
+          if (bigqueryDestinationBuilder_ == null) {
+            result.destination_ = destination_;
+          } else {
+            result.destination_ = bigqueryDestinationBuilder_.build();
+          }
+        }
+        result.predictionsFormat_ = predictionsFormat_;
+        result.destinationCase_ = destinationCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.getDefaultInstance())
+          return this;
+        if (!other.getPredictionsFormat().isEmpty()) {
+          predictionsFormat_ = other.predictionsFormat_;
+          onChanged();
+        }
+        switch (other.getDestinationCase()) {
+          case GCS_DESTINATION:
+            {
+              mergeGcsDestination(other.getGcsDestination());
+              break;
+            }
+          case BIGQUERY_DESTINATION:
+            {
+              mergeBigqueryDestination(other.getBigqueryDestination());
+              break;
+            }
+          case DESTINATION_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int destinationCase_ = 0;
+      private java.lang.Object destination_;
+
+      public DestinationCase getDestinationCase() {
+        return DestinationCase.forNumber(destinationCase_);
+      }
+
+      public Builder clearDestination() {
+        destinationCase_ = 0;
+        destination_ = null;
+        onChanged();
+        return this;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.GcsDestination,
+              com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+              com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+          gcsDestinationBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       *
+       * @return Whether the gcsDestination field is set.
+       */
+      @java.lang.Override
+      public boolean hasGcsDestination() {
+        return destinationCase_ == 2;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       *
+       * @return The gcsDestination.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination() {
+        if (gcsDestinationBuilder_ == null) {
+          if (destinationCase_ == 2) {
+            return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+          }
+          return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+        } else {
+          if (destinationCase_ == 2) {
+            return gcsDestinationBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       */
+      public Builder setGcsDestination(com.google.cloud.aiplatform.v1.GcsDestination value) {
+        if (gcsDestinationBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          destination_ = value;
+          onChanged();
+        } else {
+          gcsDestinationBuilder_.setMessage(value);
+        }
+        destinationCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       */
+      public Builder setGcsDestination(
+          com.google.cloud.aiplatform.v1.GcsDestination.Builder builderForValue) {
+        if (gcsDestinationBuilder_ == null) {
+          destination_ = builderForValue.build();
+          onChanged();
+        } else {
+          gcsDestinationBuilder_.setMessage(builderForValue.build());
+        }
+        destinationCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       */
+      public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1.GcsDestination value) {
+        if (gcsDestinationBuilder_ == null) {
+          if (destinationCase_ == 2
+              && destination_
+                  != com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()) {
+            destination_ =
+                com.google.cloud.aiplatform.v1.GcsDestination.newBuilder(
+                        (com.google.cloud.aiplatform.v1.GcsDestination) destination_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            destination_ = value;
+          }
+          onChanged();
+        } else {
+          if (destinationCase_ == 2) {
+            gcsDestinationBuilder_.mergeFrom(value);
+          }
+          gcsDestinationBuilder_.setMessage(value);
+        }
+        destinationCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       */
+      public Builder clearGcsDestination() {
+        if (gcsDestinationBuilder_ == null) {
+          if (destinationCase_ == 2) {
+            destinationCase_ = 0;
+            destination_ = null;
+            onChanged();
+          }
+        } else {
+          if (destinationCase_ == 2) {
+            destinationCase_ = 0;
+            destination_ = null;
+          }
+          gcsDestinationBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       */
+      public com.google.cloud.aiplatform.v1.GcsDestination.Builder getGcsDestinationBuilder() {
+        return getGcsDestinationFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+        if ((destinationCase_ == 2) && (gcsDestinationBuilder_ != null)) {
+          return gcsDestinationBuilder_.getMessageOrBuilder();
+        } else {
+          if (destinationCase_ == 2) {
+            return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+          }
+          return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location of the directory where the output is
+       * to be written to. In the given directory a new directory is created.
+       * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+       * Inside of it files `predictions_0001.&lt;extension&gt;`,
+       * `predictions_0002.&lt;extension&gt;`, ..., `predictions_N.&lt;extension&gt;`
+       * are created where `&lt;extension&gt;` depends on chosen
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+       * number of successfully predicted instances.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then each such file contains predictions as per the
+       * [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+       * If prediction for any instance failed (partially or completely), then
+       * an additional `errors_0001.&lt;extension&gt;`, `errors_0002.&lt;extension&gt;`,...,
+       * `errors_N.&lt;extension&gt;` files are created (N depends on total number
+       * of failed predictions). These files contain the failed instances,
+       * as per their schema, followed by an additional `error` field which as
+       * value has
+       * [`google.rpc.Status`](Status)
+       * containing only `code` and `message` fields.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.GcsDestination,
+              com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+              com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+          getGcsDestinationFieldBuilder() {
+        if (gcsDestinationBuilder_ == null) {
+          if (!(destinationCase_ == 2)) {
+            destination_ = com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+          }
+          gcsDestinationBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.GcsDestination,
+                  com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+                  com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.GcsDestination) destination_,
+                  getParentForChildren(),
+                  isClean());
+          destination_ = null;
+        }
+        destinationCase_ = 2;
+        onChanged();
+        ;
+        return gcsDestinationBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.BigQueryDestination,
+              com.google.cloud.aiplatform.v1.BigQueryDestination.Builder,
+              com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder>
+          bigqueryDestinationBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       *
+       * @return Whether the bigqueryDestination field is set.
+       */
+      @java.lang.Override
+      public boolean hasBigqueryDestination() {
+        return destinationCase_ == 3;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       *
+       * @return The bigqueryDestination.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination() {
+        if (bigqueryDestinationBuilder_ == null) {
+          if (destinationCase_ == 3) {
+            return (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_;
+          }
+          return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+        } else {
+          if (destinationCase_ == 3) {
+            return bigqueryDestinationBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       */
+      public Builder setBigqueryDestination(
+          com.google.cloud.aiplatform.v1.BigQueryDestination value) {
+        if (bigqueryDestinationBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          destination_ = value;
+          onChanged();
+        } else {
+          bigqueryDestinationBuilder_.setMessage(value);
+        }
+        destinationCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       */
+      public Builder setBigqueryDestination(
+          com.google.cloud.aiplatform.v1.BigQueryDestination.Builder builderForValue) {
+        if (bigqueryDestinationBuilder_ == null) {
+          destination_ = builderForValue.build();
+          onChanged();
+        } else {
+          bigqueryDestinationBuilder_.setMessage(builderForValue.build());
+        }
+        destinationCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       */
+      public Builder mergeBigqueryDestination(
+          com.google.cloud.aiplatform.v1.BigQueryDestination value) {
+        if (bigqueryDestinationBuilder_ == null) {
+          if (destinationCase_ == 3
+              && destination_
+                  != com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance()) {
+            destination_ =
+                com.google.cloud.aiplatform.v1.BigQueryDestination.newBuilder(
+                        (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            destination_ = value;
+          }
+          onChanged();
+        } else {
+          if (destinationCase_ == 3) {
+            bigqueryDestinationBuilder_.mergeFrom(value);
+          }
+          bigqueryDestinationBuilder_.setMessage(value);
+        }
+        destinationCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       */
+      public Builder clearBigqueryDestination() {
+        if (bigqueryDestinationBuilder_ == null) {
+          if (destinationCase_ == 3) {
+            destinationCase_ = 0;
+            destination_ = null;
+            onChanged();
+          }
+        } else {
+          if (destinationCase_ == 3) {
+            destinationCase_ = 0;
+            destination_ = null;
+          }
+          bigqueryDestinationBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       */
+      public com.google.cloud.aiplatform.v1.BigQueryDestination.Builder
+          getBigqueryDestinationBuilder() {
+        return getBigqueryDestinationFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder
+          getBigqueryDestinationOrBuilder() {
+        if ((destinationCase_ == 3) && (bigqueryDestinationBuilder_ != null)) {
+          return bigqueryDestinationBuilder_.getMessageOrBuilder();
+        } else {
+          if (destinationCase_ == 3) {
+            return (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_;
+          }
+          return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The BigQuery project location where the output is to be written to.
+       * In the given project a new dataset is created with name
+       * `prediction_&lt;model-display-name&gt;_&lt;job-create-time&gt;`
+       * where &lt;model-display-name&gt; is made
+       * BigQuery-dataset-name compatible (for example, most special characters
+       * become underscores), and timestamp is in
+       * YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+       * two tables will be created, `predictions`, and `errors`.
+       * If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+       * and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+       * defined then the tables have columns as follows: The `predictions`
+       * table contains instances for which the prediction succeeded, it
+       * has columns as per a concatenation of the Model's instance and
+       * prediction schemata. The `errors` table contains rows for which the
+       * prediction has failed, it has instance columns, as per the
+       * instance schema, followed by a single "errors" column, which as values
+       * has [`google.rpc.Status`](Status)
+       * represented as a STRUCT, and containing only `code` and `message`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.BigQueryDestination,
+              com.google.cloud.aiplatform.v1.BigQueryDestination.Builder,
+              com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder>
+          getBigqueryDestinationFieldBuilder() {
+        if (bigqueryDestinationBuilder_ == null) {
+          if (!(destinationCase_ == 3)) {
+            destination_ = com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+          }
+          bigqueryDestinationBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.BigQueryDestination,
+                  com.google.cloud.aiplatform.v1.BigQueryDestination.Builder,
+                  com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_,
+                  getParentForChildren(),
+                  isClean());
+          destination_ = null;
+        }
+        destinationCase_ = 3;
+        onChanged();
+        ;
+        return bigqueryDestinationBuilder_;
+      }
+
+      private java.lang.Object predictionsFormat_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which AI Platform gives the predictions, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+       * </pre>
+       *
+       * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The predictionsFormat.
+       */
+      public java.lang.String getPredictionsFormat() {
+        java.lang.Object ref = predictionsFormat_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          predictionsFormat_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which AI Platform gives the predictions, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+       * </pre>
+       *
+       * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The bytes for predictionsFormat.
+       */
+      public com.google.protobuf.ByteString getPredictionsFormatBytes() {
+        java.lang.Object ref = predictionsFormat_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          predictionsFormat_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which AI Platform gives the predictions, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+       * </pre>
+       *
+       * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The predictionsFormat to set.
+       * @return This builder for chaining.
+       */
+      public Builder setPredictionsFormat(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        predictionsFormat_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which AI Platform gives the predictions, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+       * </pre>
+       *
+       * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearPredictionsFormat() {
+
+        predictionsFormat_ = getDefaultInstance().getPredictionsFormat();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The format in which AI Platform gives the predictions, must be one of the
+       * [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+       * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+       * </pre>
+       *
+       * <code>string predictions_format = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The bytes for predictionsFormat to set.
+       * @return This builder for chaining.
+       */
+      public Builder setPredictionsFormatBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        predictionsFormat_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig)
+    private static final com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig();
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<OutputConfig> PARSER =
+        new com.google.protobuf.AbstractParser<OutputConfig>() {
+          @java.lang.Override
+          public OutputConfig parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new OutputConfig(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<OutputConfig> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<OutputConfig> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface OutputInfoOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The full path of the Cloud Storage directory created, into which
+     * the prediction output is written.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The gcsOutputDirectory.
+     */
+    java.lang.String getGcsOutputDirectory();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The full path of the Cloud Storage directory created, into which
+     * the prediction output is written.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for gcsOutputDirectory.
+     */
+    com.google.protobuf.ByteString getGcsOutputDirectoryBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The path of the BigQuery dataset created, in
+     * `bq://projectId.bqDatasetId`
+     * format, into which the prediction output is written.
+     * </pre>
+     *
+     * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bigqueryOutputDataset.
+     */
+    java.lang.String getBigqueryOutputDataset();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The path of the BigQuery dataset created, in
+     * `bq://projectId.bqDatasetId`
+     * format, into which the prediction output is written.
+     * </pre>
+     *
+     * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for bigqueryOutputDataset.
+     */
+    com.google.protobuf.ByteString getBigqueryOutputDatasetBytes();
+
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.OutputLocationCase
+        getOutputLocationCase();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Further describes this job's output.
+   * Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo}
+   */
+  public static final class OutputInfo extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo)
+      OutputInfoOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use OutputInfo.newBuilder() to construct.
+    private OutputInfo(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private OutputInfo() {}
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new OutputInfo();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private OutputInfo(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                outputLocationCase_ = 1;
+                outputLocation_ = s;
+                break;
+              }
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+                outputLocationCase_ = 2;
+                outputLocation_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+          .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+          .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.class,
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder.class);
+    }
+
+    private int outputLocationCase_ = 0;
+    private java.lang.Object outputLocation_;
+
+    public enum OutputLocationCase
+        implements
+            com.google.protobuf.Internal.EnumLite,
+            com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+      GCS_OUTPUT_DIRECTORY(1),
+      BIGQUERY_OUTPUT_DATASET(2),
+      OUTPUTLOCATION_NOT_SET(0);
+      private final int value;
+
+      private OutputLocationCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @param value The number of the enum to look for.
+       * @return The enum associated with the given number.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static OutputLocationCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static OutputLocationCase forNumber(int value) {
+        switch (value) {
+          case 1:
+            return GCS_OUTPUT_DIRECTORY;
+          case 2:
+            return BIGQUERY_OUTPUT_DATASET;
+          case 0:
+            return OUTPUTLOCATION_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public OutputLocationCase getOutputLocationCase() {
+      return OutputLocationCase.forNumber(outputLocationCase_);
+    }
+
+    public static final int GCS_OUTPUT_DIRECTORY_FIELD_NUMBER = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The full path of the Cloud Storage directory created, into which
+     * the prediction output is written.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The gcsOutputDirectory.
+     */
+    public java.lang.String getGcsOutputDirectory() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 1) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (outputLocationCase_ == 1) {
+          outputLocation_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The full path of the Cloud Storage directory created, into which
+     * the prediction output is written.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for gcsOutputDirectory.
+     */
+    public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 1) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (outputLocationCase_ == 1) {
+          outputLocation_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The path of the BigQuery dataset created, in
+     * `bq://projectId.bqDatasetId`
+     * format, into which the prediction output is written.
+     * </pre>
+     *
+     * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bigqueryOutputDataset.
+     */
+    public java.lang.String getBigqueryOutputDataset() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 2) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (outputLocationCase_ == 2) {
+          outputLocation_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The path of the BigQuery dataset created, in
+     * `bq://projectId.bqDatasetId`
+     * format, into which the prediction output is written.
+     * </pre>
+     *
+     * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for bigqueryOutputDataset.
+     */
+    public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() {
+      java.lang.Object ref = "";
+      if (outputLocationCase_ == 2) {
+        ref = outputLocation_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (outputLocationCase_ == 2) {
+          outputLocation_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
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+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (outputLocationCase_ == 1) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputLocation_);
+      }
+      if (outputLocationCase_ == 2) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, outputLocation_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (outputLocationCase_ == 1) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputLocation_);
+      }
+      if (outputLocationCase_ == 2) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, outputLocation_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo other =
+          (com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo) obj;
+
+      if (!getOutputLocationCase().equals(other.getOutputLocationCase())) return false;
+      switch (outputLocationCase_) {
+        case 1:
+          if (!getGcsOutputDirectory().equals(other.getGcsOutputDirectory())) return false;
+          break;
+        case 2:
+          if (!getBigqueryOutputDataset().equals(other.getBigqueryOutputDataset())) return false;
+          break;
+        case 0:
+        default:
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      switch (outputLocationCase_) {
+        case 1:
+          hash = (37 * hash) + GCS_OUTPUT_DIRECTORY_FIELD_NUMBER;
+          hash = (53 * hash) + getGcsOutputDirectory().hashCode();
+          break;
+        case 2:
+          hash = (37 * hash) + BIGQUERY_OUTPUT_DATASET_FIELD_NUMBER;
+          hash = (53 * hash) + getBigqueryOutputDataset().hashCode();
+          break;
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+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
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+        throws com.google.protobuf.InvalidProtocolBufferException {
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+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+      return PARSER.parseFrom(data, extensionRegistry);
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+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
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+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
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+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
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+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Further describes this job's output.
+     * Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo)
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfoOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
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+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        outputLocationCase_ = 0;
+        outputLocation_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+            .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo build() {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo buildPartial() {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo result =
+            new com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo(this);
+        if (outputLocationCase_ == 1) {
+          result.outputLocation_ = outputLocation_;
+        }
+        if (outputLocationCase_ == 2) {
+          result.outputLocation_ = outputLocation_;
+        }
+        result.outputLocationCase_ = outputLocationCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
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+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.getDefaultInstance())
+          return this;
+        switch (other.getOutputLocationCase()) {
+          case GCS_OUTPUT_DIRECTORY:
+            {
+              outputLocationCase_ = 1;
+              outputLocation_ = other.outputLocation_;
+              onChanged();
+              break;
+            }
+          case BIGQUERY_OUTPUT_DATASET:
+            {
+              outputLocationCase_ = 2;
+              outputLocation_ = other.outputLocation_;
+              onChanged();
+              break;
+            }
+          case OUTPUTLOCATION_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int outputLocationCase_ = 0;
+      private java.lang.Object outputLocation_;
+
+      public OutputLocationCase getOutputLocationCase() {
+        return OutputLocationCase.forNumber(outputLocationCase_);
+      }
+
+      public Builder clearOutputLocation() {
+        outputLocationCase_ = 0;
+        outputLocation_ = null;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The full path of the Cloud Storage directory created, into which
+       * the prediction output is written.
+       * </pre>
+       *
+       * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The gcsOutputDirectory.
+       */
+      @java.lang.Override
+      public java.lang.String getGcsOutputDirectory() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 1) {
+          ref = outputLocation_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (outputLocationCase_ == 1) {
+            outputLocation_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The full path of the Cloud Storage directory created, into which
+       * the prediction output is written.
+       * </pre>
+       *
+       * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The bytes for gcsOutputDirectory.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 1) {
+          ref = outputLocation_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
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+          if (outputLocationCase_ == 1) {
+            outputLocation_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The full path of the Cloud Storage directory created, into which
+       * the prediction output is written.
+       * </pre>
+       *
+       * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The gcsOutputDirectory to set.
+       * @return This builder for chaining.
+       */
+      public Builder setGcsOutputDirectory(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputLocationCase_ = 1;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The full path of the Cloud Storage directory created, into which
+       * the prediction output is written.
+       * </pre>
+       *
+       * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearGcsOutputDirectory() {
+        if (outputLocationCase_ == 1) {
+          outputLocationCase_ = 0;
+          outputLocation_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The full path of the Cloud Storage directory created, into which
+       * the prediction output is written.
+       * </pre>
+       *
+       * <code>string gcs_output_directory = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The bytes for gcsOutputDirectory to set.
+       * @return This builder for chaining.
+       */
+      public Builder setGcsOutputDirectoryBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        outputLocationCase_ = 1;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The path of the BigQuery dataset created, in
+       * `bq://projectId.bqDatasetId`
+       * format, into which the prediction output is written.
+       * </pre>
+       *
+       * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @return The bigqueryOutputDataset.
+       */
+      @java.lang.Override
+      public java.lang.String getBigqueryOutputDataset() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 2) {
+          ref = outputLocation_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (outputLocationCase_ == 2) {
+            outputLocation_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The path of the BigQuery dataset created, in
+       * `bq://projectId.bqDatasetId`
+       * format, into which the prediction output is written.
+       * </pre>
+       *
+       * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @return The bytes for bigqueryOutputDataset.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getBigqueryOutputDatasetBytes() {
+        java.lang.Object ref = "";
+        if (outputLocationCase_ == 2) {
+          ref = outputLocation_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (outputLocationCase_ == 2) {
+            outputLocation_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The path of the BigQuery dataset created, in
+       * `bq://projectId.bqDatasetId`
+       * format, into which the prediction output is written.
+       * </pre>
+       *
+       * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param value The bigqueryOutputDataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setBigqueryOutputDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputLocationCase_ = 2;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The path of the BigQuery dataset created, in
+       * `bq://projectId.bqDatasetId`
+       * format, into which the prediction output is written.
+       * </pre>
+       *
+       * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearBigqueryOutputDataset() {
+        if (outputLocationCase_ == 2) {
+          outputLocationCase_ = 0;
+          outputLocation_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The path of the BigQuery dataset created, in
+       * `bq://projectId.bqDatasetId`
+       * format, into which the prediction output is written.
+       * </pre>
+       *
+       * <code>string bigquery_output_dataset = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param value The bytes for bigqueryOutputDataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setBigqueryOutputDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        outputLocationCase_ = 2;
+        outputLocation_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo)
+    private static final com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo();
+    }
+
+    public static com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<OutputInfo> PARSER =
+        new com.google.protobuf.AbstractParser<OutputInfo>() {
+          @java.lang.Override
+          public OutputInfo parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new OutputInfo(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<OutputInfo> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<OutputInfo> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the BatchPredictionJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the BatchPredictionJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of this BatchPredictionJob.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of this BatchPredictionJob.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MODEL_FIELD_NUMBER = 3;
+  private volatile java.lang.Object model_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model that produces the predictions via this job,
+   * must share the same ancestor Location.
+   * Starting this job has no impact on any existing deployments of the Model
+   * and their resources.
+   * </pre>
+   *
+   * <code>
+   * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The model.
+   */
+  @java.lang.Override
+  public java.lang.String getModel() {
+    java.lang.Object ref = model_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      model_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model that produces the predictions via this job,
+   * must share the same ancestor Location.
+   * Starting this job has no impact on any existing deployments of the Model
+   * and their resources.
+   * </pre>
+   *
+   * <code>
+   * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for model.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getModelBytes() {
+    java.lang.Object ref = model_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      model_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int INPUT_CONFIG_FIELD_NUMBER = 4;
+  private com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig inputConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input configuration of the instances on which predictions are performed.
+   * The schema of any single instance may be specified via
+   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the inputConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputConfig() {
+    return inputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input configuration of the instances on which predictions are performed.
+   * The schema of any single instance may be specified via
+   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The inputConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig getInputConfig() {
+    return inputConfig_ == null
+        ? com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.getDefaultInstance()
+        : inputConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input configuration of the instances on which predictions are performed.
+   * The schema of any single instance may be specified via
+   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfigOrBuilder
+      getInputConfigOrBuilder() {
+    return getInputConfig();
+  }
+
+  public static final int MODEL_PARAMETERS_FIELD_NUMBER = 5;
+  private com.google.protobuf.Value modelParameters_;
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the predictions. The schema of the parameters
+   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value model_parameters = 5;</code>
+   *
+   * @return Whether the modelParameters field is set.
+   */
+  @java.lang.Override
+  public boolean hasModelParameters() {
+    return modelParameters_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the predictions. The schema of the parameters
+   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value model_parameters = 5;</code>
+   *
+   * @return The modelParameters.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getModelParameters() {
+    return modelParameters_ == null
+        ? com.google.protobuf.Value.getDefaultInstance()
+        : modelParameters_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the predictions. The schema of the parameters
+   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value model_parameters = 5;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getModelParametersOrBuilder() {
+    return getModelParameters();
+  }
+
+  public static final int OUTPUT_CONFIG_FIELD_NUMBER = 6;
+  private com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig outputConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * The schema of any single prediction may be specified as a concatenation
+   * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the outputConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasOutputConfig() {
+    return outputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * The schema of any single prediction may be specified as a concatenation
+   * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The outputConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig getOutputConfig() {
+    return outputConfig_ == null
+        ? com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.getDefaultInstance()
+        : outputConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * The schema of any single prediction may be specified as a concatenation
+   * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfigOrBuilder
+      getOutputConfigOrBuilder() {
+    return getOutputConfig();
+  }
+
+  public static final int DEDICATED_RESOURCES_FIELD_NUMBER = 7;
+  private com.google.cloud.aiplatform.v1.BatchDedicatedResources dedicatedResources_;
+  /**
+   *
+   *
+   * <pre>
+   * The config of resources used by the Model during the batch prediction. If
+   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * DEDICATED_RESOURCES this config may be provided (and the job will use these
+   * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+   * must be provided.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+   *
+   * @return Whether the dedicatedResources field is set.
+   */
+  @java.lang.Override
+  public boolean hasDedicatedResources() {
+    return dedicatedResources_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The config of resources used by the Model during the batch prediction. If
+   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * DEDICATED_RESOURCES this config may be provided (and the job will use these
+   * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+   * must be provided.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+   *
+   * @return The dedicatedResources.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchDedicatedResources getDedicatedResources() {
+    return dedicatedResources_ == null
+        ? com.google.cloud.aiplatform.v1.BatchDedicatedResources.getDefaultInstance()
+        : dedicatedResources_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The config of resources used by the Model during the batch prediction. If
+   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * DEDICATED_RESOURCES this config may be provided (and the job will use these
+   * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+   * must be provided.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchDedicatedResourcesOrBuilder
+      getDedicatedResourcesOrBuilder() {
+    return getDedicatedResources();
+  }
+
+  public static final int MANUAL_BATCH_TUNING_PARAMETERS_FIELD_NUMBER = 8;
+  private com.google.cloud.aiplatform.v1.ManualBatchTuningParameters manualBatchTuningParameters_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+   * the tuning itself).
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return Whether the manualBatchTuningParameters field is set.
+   */
+  @java.lang.Override
+  public boolean hasManualBatchTuningParameters() {
+    return manualBatchTuningParameters_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+   * the tuning itself).
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The manualBatchTuningParameters.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ManualBatchTuningParameters
+      getManualBatchTuningParameters() {
+    return manualBatchTuningParameters_ == null
+        ? com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.getDefaultInstance()
+        : manualBatchTuningParameters_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+   * the tuning itself).
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ManualBatchTuningParametersOrBuilder
+      getManualBatchTuningParametersOrBuilder() {
+    return getManualBatchTuningParameters();
+  }
+
+  public static final int OUTPUT_INFO_FIELD_NUMBER = 9;
+  private com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo outputInfo_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the outputInfo field is set.
+   */
+  @java.lang.Override
+  public boolean hasOutputInfo() {
+    return outputInfo_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The outputInfo.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo getOutputInfo() {
+    return outputInfo_ == null
+        ? com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.getDefaultInstance()
+        : outputInfo_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfoOrBuilder
+      getOutputInfoOrBuilder() {
+    return getOutputInfo();
+  }
+
+  public static final int STATE_FIELD_NUMBER = 10;
+  private int state_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  @java.lang.Override
+  public int getStateValue() {
+    return state_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.JobState getState() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.JobState result =
+        com.google.cloud.aiplatform.v1.JobState.valueOf(state_);
+    return result == null ? com.google.cloud.aiplatform.v1.JobState.UNRECOGNIZED : result;
+  }
+
+  public static final int ERROR_FIELD_NUMBER = 11;
+  private com.google.rpc.Status error_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  @java.lang.Override
+  public boolean hasError() {
+    return error_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  @java.lang.Override
+  public com.google.rpc.Status getError() {
+    return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  @java.lang.Override
+  public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+    return getError();
+  }
+
+  public static final int PARTIAL_FAILURES_FIELD_NUMBER = 12;
+  private java.util.List<com.google.rpc.Status> partialFailures_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.rpc.Status> getPartialFailuresList() {
+    return partialFailures_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.rpc.StatusOrBuilder>
+      getPartialFailuresOrBuilderList() {
+    return partialFailures_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getPartialFailuresCount() {
+    return partialFailures_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.rpc.Status getPartialFailures(int index) {
+    return partialFailures_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) {
+    return partialFailures_.get(index);
+  }
+
+  public static final int RESOURCES_CONSUMED_FIELD_NUMBER = 13;
+  private com.google.cloud.aiplatform.v1.ResourcesConsumed resourcesConsumed_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information about resources that had been consumed by this job.
+   * Provided in real time at best effort basis, as well as a final value
+   * once the job completes.
+   * Note: This field currently may be not populated for batch predictions that
+   * use AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the resourcesConsumed field is set.
+   */
+  @java.lang.Override
+  public boolean hasResourcesConsumed() {
+    return resourcesConsumed_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information about resources that had been consumed by this job.
+   * Provided in real time at best effort basis, as well as a final value
+   * once the job completes.
+   * Note: This field currently may be not populated for batch predictions that
+   * use AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The resourcesConsumed.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ResourcesConsumed getResourcesConsumed() {
+    return resourcesConsumed_ == null
+        ? com.google.cloud.aiplatform.v1.ResourcesConsumed.getDefaultInstance()
+        : resourcesConsumed_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information about resources that had been consumed by this job.
+   * Provided in real time at best effort basis, as well as a final value
+   * once the job completes.
+   * Note: This field currently may be not populated for batch predictions that
+   * use AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ResourcesConsumedOrBuilder getResourcesConsumedOrBuilder() {
+    return getResourcesConsumed();
+  }
+
+  public static final int COMPLETION_STATS_FIELD_NUMBER = 14;
+  private com.google.cloud.aiplatform.v1.CompletionStats completionStats_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Statistics on completed and failed prediction instances.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the completionStats field is set.
+   */
+  @java.lang.Override
+  public boolean hasCompletionStats() {
+    return completionStats_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Statistics on completed and failed prediction instances.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The completionStats.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CompletionStats getCompletionStats() {
+    return completionStats_ == null
+        ? com.google.cloud.aiplatform.v1.CompletionStats.getDefaultInstance()
+        : completionStats_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Statistics on completed and failed prediction instances.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CompletionStatsOrBuilder getCompletionStatsOrBuilder() {
+    return getCompletionStats();
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 15;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int START_TIME_FIELD_NUMBER = 16;
+  private com.google.protobuf.Timestamp startTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasStartTime() {
+    return startTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getStartTime() {
+    return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+    return getStartTime();
+  }
+
+  public static final int END_TIME_FIELD_NUMBER = 17;
+  private com.google.protobuf.Timestamp endTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasEndTime() {
+    return endTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getEndTime() {
+    return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+    return getEndTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 18;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 19;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.BatchPredictionJobProto
+                .internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 24;
+  private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (!getModelBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, model_);
+    }
+    if (inputConfig_ != null) {
+      output.writeMessage(4, getInputConfig());
+    }
+    if (modelParameters_ != null) {
+      output.writeMessage(5, getModelParameters());
+    }
+    if (outputConfig_ != null) {
+      output.writeMessage(6, getOutputConfig());
+    }
+    if (dedicatedResources_ != null) {
+      output.writeMessage(7, getDedicatedResources());
+    }
+    if (manualBatchTuningParameters_ != null) {
+      output.writeMessage(8, getManualBatchTuningParameters());
+    }
+    if (outputInfo_ != null) {
+      output.writeMessage(9, getOutputInfo());
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.JobState.JOB_STATE_UNSPECIFIED.getNumber()) {
+      output.writeEnum(10, state_);
+    }
+    if (error_ != null) {
+      output.writeMessage(11, getError());
+    }
+    for (int i = 0; i < partialFailures_.size(); i++) {
+      output.writeMessage(12, partialFailures_.get(i));
+    }
+    if (resourcesConsumed_ != null) {
+      output.writeMessage(13, getResourcesConsumed());
+    }
+    if (completionStats_ != null) {
+      output.writeMessage(14, getCompletionStats());
+    }
+    if (createTime_ != null) {
+      output.writeMessage(15, getCreateTime());
+    }
+    if (startTime_ != null) {
+      output.writeMessage(16, getStartTime());
+    }
+    if (endTime_ != null) {
+      output.writeMessage(17, getEndTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(18, getUpdateTime());
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 19);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(24, getEncryptionSpec());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (!getModelBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, model_);
+    }
+    if (inputConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getInputConfig());
+    }
+    if (modelParameters_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getModelParameters());
+    }
+    if (outputConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(6, getOutputConfig());
+    }
+    if (dedicatedResources_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, getDedicatedResources());
+    }
+    if (manualBatchTuningParameters_ != null) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              8, getManualBatchTuningParameters());
+    }
+    if (outputInfo_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getOutputInfo());
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.JobState.JOB_STATE_UNSPECIFIED.getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(10, state_);
+    }
+    if (error_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getError());
+    }
+    for (int i = 0; i < partialFailures_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(12, partialFailures_.get(i));
+    }
+    if (resourcesConsumed_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(13, getResourcesConsumed());
+    }
+    if (completionStats_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(14, getCompletionStats());
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(15, getCreateTime());
+    }
+    if (startTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(16, getStartTime());
+    }
+    if (endTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(17, getEndTime());
+    }
+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(18, getUpdateTime());
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.String> entry :
+        internalGetLabels().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+          LabelsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(19, labels__);
+    }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(24, getEncryptionSpec());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.BatchPredictionJob)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.BatchPredictionJob other =
+        (com.google.cloud.aiplatform.v1.BatchPredictionJob) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (!getModel().equals(other.getModel())) return false;
+    if (hasInputConfig() != other.hasInputConfig()) return false;
+    if (hasInputConfig()) {
+      if (!getInputConfig().equals(other.getInputConfig())) return false;
+    }
+    if (hasModelParameters() != other.hasModelParameters()) return false;
+    if (hasModelParameters()) {
+      if (!getModelParameters().equals(other.getModelParameters())) return false;
+    }
+    if (hasOutputConfig() != other.hasOutputConfig()) return false;
+    if (hasOutputConfig()) {
+      if (!getOutputConfig().equals(other.getOutputConfig())) return false;
+    }
+    if (hasDedicatedResources() != other.hasDedicatedResources()) return false;
+    if (hasDedicatedResources()) {
+      if (!getDedicatedResources().equals(other.getDedicatedResources())) return false;
+    }
+    if (hasManualBatchTuningParameters() != other.hasManualBatchTuningParameters()) return false;
+    if (hasManualBatchTuningParameters()) {
+      if (!getManualBatchTuningParameters().equals(other.getManualBatchTuningParameters()))
+        return false;
+    }
+    if (hasOutputInfo() != other.hasOutputInfo()) return false;
+    if (hasOutputInfo()) {
+      if (!getOutputInfo().equals(other.getOutputInfo())) return false;
+    }
+    if (state_ != other.state_) return false;
+    if (hasError() != other.hasError()) return false;
+    if (hasError()) {
+      if (!getError().equals(other.getError())) return false;
+    }
+    if (!getPartialFailuresList().equals(other.getPartialFailuresList())) return false;
+    if (hasResourcesConsumed() != other.hasResourcesConsumed()) return false;
+    if (hasResourcesConsumed()) {
+      if (!getResourcesConsumed().equals(other.getResourcesConsumed())) return false;
+    }
+    if (hasCompletionStats() != other.hasCompletionStats()) return false;
+    if (hasCompletionStats()) {
+      if (!getCompletionStats().equals(other.getCompletionStats())) return false;
+    }
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasStartTime() != other.hasStartTime()) return false;
+    if (hasStartTime()) {
+      if (!getStartTime().equals(other.getStartTime())) return false;
+    }
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+   * A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
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+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.BatchPredictionJob other) {
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+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the BatchPredictionJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the BatchPredictionJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the BatchPredictionJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this BatchPredictionJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this BatchPredictionJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this BatchPredictionJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this BatchPredictionJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this BatchPredictionJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object model_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that produces the predictions via this job,
+     * must share the same ancestor Location.
+     * Starting this job has no impact on any existing deployments of the Model
+     * and their resources.
+     * </pre>
+     *
+     * <code>
+     * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The model.
+     */
+    public java.lang.String getModel() {
+      java.lang.Object ref = model_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        model_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that produces the predictions via this job,
+     * must share the same ancestor Location.
+     * Starting this job has no impact on any existing deployments of the Model
+     * and their resources.
+     * </pre>
+     *
+     * <code>
+     * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for model.
+     */
+    public com.google.protobuf.ByteString getModelBytes() {
+      java.lang.Object ref = model_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        model_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that produces the predictions via this job,
+     * must share the same ancestor Location.
+     * Starting this job has no impact on any existing deployments of the Model
+     * and their resources.
+     * </pre>
+     *
+     * <code>
+     * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The model to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModel(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      model_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that produces the predictions via this job,
+     * must share the same ancestor Location.
+     * Starting this job has no impact on any existing deployments of the Model
+     * and their resources.
+     * </pre>
+     *
+     * <code>
+     * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModel() {
+
+      model_ = getDefaultInstance().getModel();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that produces the predictions via this job,
+     * must share the same ancestor Location.
+     * Starting this job has no impact on any existing deployments of the Model
+     * and their resources.
+     * </pre>
+     *
+     * <code>
+     * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for model to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      model_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig inputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfigOrBuilder>
+        inputConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the inputConfig field is set.
+     */
+    public boolean hasInputConfig() {
+      return inputConfigBuilder_ != null || inputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The inputConfig.
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig getInputConfig() {
+      if (inputConfigBuilder_ == null) {
+        return inputConfig_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.getDefaultInstance()
+            : inputConfig_;
+      } else {
+        return inputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setInputConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig value) {
+      if (inputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputConfig_ = value;
+        onChanged();
+      } else {
+        inputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setInputConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder builderForValue) {
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeInputConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig value) {
+      if (inputConfigBuilder_ == null) {
+        if (inputConfig_ != null) {
+          inputConfig_ =
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.newBuilder(inputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        inputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearInputConfig() {
+      if (inputConfigBuilder_ == null) {
+        inputConfig_ = null;
+        onChanged();
+      } else {
+        inputConfig_ = null;
+        inputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder
+        getInputConfigBuilder() {
+
+      onChanged();
+      return getInputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfigOrBuilder
+        getInputConfigOrBuilder() {
+      if (inputConfigBuilder_ != null) {
+        return inputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return inputConfig_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.getDefaultInstance()
+            : inputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input configuration of the instances on which predictions are performed.
+     * The schema of any single instance may be specified via
+     * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfigOrBuilder>
+        getInputConfigFieldBuilder() {
+      if (inputConfigBuilder_ == null) {
+        inputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfigOrBuilder>(
+                getInputConfig(), getParentForChildren(), isClean());
+        inputConfig_ = null;
+      }
+      return inputConfigBuilder_;
+    }
+
+    private com.google.protobuf.Value modelParameters_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        modelParametersBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     *
+     * @return Whether the modelParameters field is set.
+     */
+    public boolean hasModelParameters() {
+      return modelParametersBuilder_ != null || modelParameters_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     *
+     * @return The modelParameters.
+     */
+    public com.google.protobuf.Value getModelParameters() {
+      if (modelParametersBuilder_ == null) {
+        return modelParameters_ == null
+            ? com.google.protobuf.Value.getDefaultInstance()
+            : modelParameters_;
+      } else {
+        return modelParametersBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     */
+    public Builder setModelParameters(com.google.protobuf.Value value) {
+      if (modelParametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        modelParameters_ = value;
+        onChanged();
+      } else {
+        modelParametersBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     */
+    public Builder setModelParameters(com.google.protobuf.Value.Builder builderForValue) {
+      if (modelParametersBuilder_ == null) {
+        modelParameters_ = builderForValue.build();
+        onChanged();
+      } else {
+        modelParametersBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     */
+    public Builder mergeModelParameters(com.google.protobuf.Value value) {
+      if (modelParametersBuilder_ == null) {
+        if (modelParameters_ != null) {
+          modelParameters_ =
+              com.google.protobuf.Value.newBuilder(modelParameters_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          modelParameters_ = value;
+        }
+        onChanged();
+      } else {
+        modelParametersBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     */
+    public Builder clearModelParameters() {
+      if (modelParametersBuilder_ == null) {
+        modelParameters_ = null;
+        onChanged();
+      } else {
+        modelParameters_ = null;
+        modelParametersBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     */
+    public com.google.protobuf.Value.Builder getModelParametersBuilder() {
+
+      onChanged();
+      return getModelParametersFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getModelParametersOrBuilder() {
+      if (modelParametersBuilder_ != null) {
+        return modelParametersBuilder_.getMessageOrBuilder();
+      } else {
+        return modelParameters_ == null
+            ? com.google.protobuf.Value.getDefaultInstance()
+            : modelParameters_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the predictions. The schema of the parameters
+     * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value model_parameters = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getModelParametersFieldBuilder() {
+      if (modelParametersBuilder_ == null) {
+        modelParametersBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getModelParameters(), getParentForChildren(), isClean());
+        modelParameters_ = null;
+      }
+      return modelParametersBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig outputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfigOrBuilder>
+        outputConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the outputConfig field is set.
+     */
+    public boolean hasOutputConfig() {
+      return outputConfigBuilder_ != null || outputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The outputConfig.
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig getOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        return outputConfig_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.getDefaultInstance()
+            : outputConfig_;
+      } else {
+        return outputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setOutputConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputConfig_ = value;
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setOutputConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder builderForValue) {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeOutputConfig(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (outputConfig_ != null) {
+          outputConfig_ =
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.newBuilder(
+                      outputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        outputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+        onChanged();
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder
+        getOutputConfigBuilder() {
+
+      onChanged();
+      return getOutputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfigOrBuilder
+        getOutputConfigOrBuilder() {
+      if (outputConfigBuilder_ != null) {
+        return outputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return outputConfig_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.getDefaultInstance()
+            : outputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Configuration specifying where output predictions should
+     * be written.
+     * The schema of any single prediction may be specified as a concatenation
+     * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+     * and
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfigOrBuilder>
+        getOutputConfigFieldBuilder() {
+      if (outputConfigBuilder_ == null) {
+        outputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfigOrBuilder>(
+                getOutputConfig(), getParentForChildren(), isClean());
+        outputConfig_ = null;
+      }
+      return outputConfigBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.BatchDedicatedResources dedicatedResources_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchDedicatedResources,
+            com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder,
+            com.google.cloud.aiplatform.v1.BatchDedicatedResourcesOrBuilder>
+        dedicatedResourcesBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     *
+     * @return Whether the dedicatedResources field is set.
+     */
+    public boolean hasDedicatedResources() {
+      return dedicatedResourcesBuilder_ != null || dedicatedResources_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     *
+     * @return The dedicatedResources.
+     */
+    public com.google.cloud.aiplatform.v1.BatchDedicatedResources getDedicatedResources() {
+      if (dedicatedResourcesBuilder_ == null) {
+        return dedicatedResources_ == null
+            ? com.google.cloud.aiplatform.v1.BatchDedicatedResources.getDefaultInstance()
+            : dedicatedResources_;
+      } else {
+        return dedicatedResourcesBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     */
+    public Builder setDedicatedResources(
+        com.google.cloud.aiplatform.v1.BatchDedicatedResources value) {
+      if (dedicatedResourcesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        dedicatedResources_ = value;
+        onChanged();
+      } else {
+        dedicatedResourcesBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     */
+    public Builder setDedicatedResources(
+        com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder builderForValue) {
+      if (dedicatedResourcesBuilder_ == null) {
+        dedicatedResources_ = builderForValue.build();
+        onChanged();
+      } else {
+        dedicatedResourcesBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     */
+    public Builder mergeDedicatedResources(
+        com.google.cloud.aiplatform.v1.BatchDedicatedResources value) {
+      if (dedicatedResourcesBuilder_ == null) {
+        if (dedicatedResources_ != null) {
+          dedicatedResources_ =
+              com.google.cloud.aiplatform.v1.BatchDedicatedResources.newBuilder(dedicatedResources_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          dedicatedResources_ = value;
+        }
+        onChanged();
+      } else {
+        dedicatedResourcesBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     */
+    public Builder clearDedicatedResources() {
+      if (dedicatedResourcesBuilder_ == null) {
+        dedicatedResources_ = null;
+        onChanged();
+      } else {
+        dedicatedResources_ = null;
+        dedicatedResourcesBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder
+        getDedicatedResourcesBuilder() {
+
+      onChanged();
+      return getDedicatedResourcesFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchDedicatedResourcesOrBuilder
+        getDedicatedResourcesOrBuilder() {
+      if (dedicatedResourcesBuilder_ != null) {
+        return dedicatedResourcesBuilder_.getMessageOrBuilder();
+      } else {
+        return dedicatedResources_ == null
+            ? com.google.cloud.aiplatform.v1.BatchDedicatedResources.getDefaultInstance()
+            : dedicatedResources_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The config of resources used by the Model during the batch prediction. If
+     * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+     * DEDICATED_RESOURCES this config may be provided (and the job will use these
+     * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+     * must be provided.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchDedicatedResources,
+            com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder,
+            com.google.cloud.aiplatform.v1.BatchDedicatedResourcesOrBuilder>
+        getDedicatedResourcesFieldBuilder() {
+      if (dedicatedResourcesBuilder_ == null) {
+        dedicatedResourcesBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BatchDedicatedResources,
+                com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder,
+                com.google.cloud.aiplatform.v1.BatchDedicatedResourcesOrBuilder>(
+                getDedicatedResources(), getParentForChildren(), isClean());
+        dedicatedResources_ = null;
+      }
+      return dedicatedResourcesBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.ManualBatchTuningParameters manualBatchTuningParameters_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ManualBatchTuningParameters,
+            com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder,
+            com.google.cloud.aiplatform.v1.ManualBatchTuningParametersOrBuilder>
+        manualBatchTuningParametersBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return Whether the manualBatchTuningParameters field is set.
+     */
+    public boolean hasManualBatchTuningParameters() {
+      return manualBatchTuningParametersBuilder_ != null || manualBatchTuningParameters_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The manualBatchTuningParameters.
+     */
+    public com.google.cloud.aiplatform.v1.ManualBatchTuningParameters
+        getManualBatchTuningParameters() {
+      if (manualBatchTuningParametersBuilder_ == null) {
+        return manualBatchTuningParameters_ == null
+            ? com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.getDefaultInstance()
+            : manualBatchTuningParameters_;
+      } else {
+        return manualBatchTuningParametersBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setManualBatchTuningParameters(
+        com.google.cloud.aiplatform.v1.ManualBatchTuningParameters value) {
+      if (manualBatchTuningParametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        manualBatchTuningParameters_ = value;
+        onChanged();
+      } else {
+        manualBatchTuningParametersBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setManualBatchTuningParameters(
+        com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder builderForValue) {
+      if (manualBatchTuningParametersBuilder_ == null) {
+        manualBatchTuningParameters_ = builderForValue.build();
+        onChanged();
+      } else {
+        manualBatchTuningParametersBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder mergeManualBatchTuningParameters(
+        com.google.cloud.aiplatform.v1.ManualBatchTuningParameters value) {
+      if (manualBatchTuningParametersBuilder_ == null) {
+        if (manualBatchTuningParameters_ != null) {
+          manualBatchTuningParameters_ =
+              com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.newBuilder(
+                      manualBatchTuningParameters_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          manualBatchTuningParameters_ = value;
+        }
+        onChanged();
+      } else {
+        manualBatchTuningParametersBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder clearManualBatchTuningParameters() {
+      if (manualBatchTuningParametersBuilder_ == null) {
+        manualBatchTuningParameters_ = null;
+        onChanged();
+      } else {
+        manualBatchTuningParameters_ = null;
+        manualBatchTuningParametersBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder
+        getManualBatchTuningParametersBuilder() {
+
+      onChanged();
+      return getManualBatchTuningParametersFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ManualBatchTuningParametersOrBuilder
+        getManualBatchTuningParametersOrBuilder() {
+      if (manualBatchTuningParametersBuilder_ != null) {
+        return manualBatchTuningParametersBuilder_.getMessageOrBuilder();
+      } else {
+        return manualBatchTuningParameters_ == null
+            ? com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.getDefaultInstance()
+            : manualBatchTuningParameters_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+     * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+     * the tuning itself).
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ManualBatchTuningParameters,
+            com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder,
+            com.google.cloud.aiplatform.v1.ManualBatchTuningParametersOrBuilder>
+        getManualBatchTuningParametersFieldBuilder() {
+      if (manualBatchTuningParametersBuilder_ == null) {
+        manualBatchTuningParametersBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ManualBatchTuningParameters,
+                com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder,
+                com.google.cloud.aiplatform.v1.ManualBatchTuningParametersOrBuilder>(
+                getManualBatchTuningParameters(), getParentForChildren(), isClean());
+        manualBatchTuningParameters_ = null;
+      }
+      return manualBatchTuningParametersBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo outputInfo_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfoOrBuilder>
+        outputInfoBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the outputInfo field is set.
+     */
+    public boolean hasOutputInfo() {
+      return outputInfoBuilder_ != null || outputInfo_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The outputInfo.
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo getOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        return outputInfo_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.getDefaultInstance()
+            : outputInfo_;
+      } else {
+        return outputInfoBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo value) {
+      if (outputInfoBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputInfo_ = value;
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder builderForValue) {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeOutputInfo(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo value) {
+      if (outputInfoBuilder_ == null) {
+        if (outputInfo_ != null) {
+          outputInfo_ =
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.newBuilder(outputInfo_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputInfo_ = value;
+        }
+        onChanged();
+      } else {
+        outputInfoBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+        onChanged();
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder
+        getOutputInfoBuilder() {
+
+      onChanged();
+      return getOutputInfoFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfoOrBuilder
+        getOutputInfoOrBuilder() {
+      if (outputInfoBuilder_ != null) {
+        return outputInfoBuilder_.getMessageOrBuilder();
+      } else {
+        return outputInfo_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.getDefaultInstance()
+            : outputInfo_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfoOrBuilder>
+        getOutputInfoFieldBuilder() {
+      if (outputInfoBuilder_ == null) {
+        outputInfoBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfoOrBuilder>(
+                getOutputInfo(), getParentForChildren(), isClean());
+        outputInfo_ = null;
+      }
+      return outputInfoBuilder_;
+    }
+
+    private int state_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for state.
+     */
+    @java.lang.Override
+    public int getStateValue() {
+      return state_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setStateValue(int value) {
+
+      state_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The state.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.JobState getState() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.JobState result =
+          com.google.cloud.aiplatform.v1.JobState.valueOf(state_);
+      return result == null ? com.google.cloud.aiplatform.v1.JobState.UNRECOGNIZED : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setState(com.google.cloud.aiplatform.v1.JobState value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      state_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearState() {
+
+      state_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private com.google.rpc.Status error_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        errorBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return Whether the error field is set.
+     */
+    public boolean hasError() {
+      return errorBuilder_ != null || error_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The error.
+     */
+    public com.google.rpc.Status getError() {
+      if (errorBuilder_ == null) {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      } else {
+        return errorBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        error_ = value;
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status.Builder builderForValue) {
+      if (errorBuilder_ == null) {
+        error_ = builderForValue.build();
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder mergeError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (error_ != null) {
+          error_ = com.google.rpc.Status.newBuilder(error_).mergeFrom(value).buildPartial();
+        } else {
+          error_ = value;
+        }
+        onChanged();
+      } else {
+        errorBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder clearError() {
+      if (errorBuilder_ == null) {
+        error_ = null;
+        onChanged();
+      } else {
+        error_ = null;
+        errorBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.Status.Builder getErrorBuilder() {
+
+      onChanged();
+      return getErrorFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+      if (errorBuilder_ != null) {
+        return errorBuilder_.getMessageOrBuilder();
+      } else {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        getErrorFieldBuilder() {
+      if (errorBuilder_ == null) {
+        errorBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.rpc.Status,
+                com.google.rpc.Status.Builder,
+                com.google.rpc.StatusOrBuilder>(getError(), getParentForChildren(), isClean());
+        error_ = null;
+      }
+      return errorBuilder_;
+    }
+
+    private java.util.List<com.google.rpc.Status> partialFailures_ =
+        java.util.Collections.emptyList();
+
+    private void ensurePartialFailuresIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        partialFailures_ = new java.util.ArrayList<com.google.rpc.Status>(partialFailures_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        partialFailuresBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.rpc.Status> getPartialFailuresList() {
+      if (partialFailuresBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(partialFailures_);
+      } else {
+        return partialFailuresBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getPartialFailuresCount() {
+      if (partialFailuresBuilder_ == null) {
+        return partialFailures_.size();
+      } else {
+        return partialFailuresBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.Status getPartialFailures(int index) {
+      if (partialFailuresBuilder_ == null) {
+        return partialFailures_.get(index);
+      } else {
+        return partialFailuresBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setPartialFailures(int index, com.google.rpc.Status value) {
+      if (partialFailuresBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialFailuresIsMutable();
+        partialFailures_.set(index, value);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setPartialFailures(int index, com.google.rpc.Status.Builder builderForValue) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        partialFailures_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialFailuresBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addPartialFailures(com.google.rpc.Status value) {
+      if (partialFailuresBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialFailuresIsMutable();
+        partialFailures_.add(value);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addPartialFailures(int index, com.google.rpc.Status value) {
+      if (partialFailuresBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialFailuresIsMutable();
+        partialFailures_.add(index, value);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addPartialFailures(com.google.rpc.Status.Builder builderForValue) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        partialFailures_.add(builderForValue.build());
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addPartialFailures(int index, com.google.rpc.Status.Builder builderForValue) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        partialFailures_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllPartialFailures(
+        java.lang.Iterable<? extends com.google.rpc.Status> values) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, partialFailures_);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearPartialFailures() {
+      if (partialFailuresBuilder_ == null) {
+        partialFailures_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removePartialFailures(int index) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        partialFailures_.remove(index);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.Status.Builder getPartialFailuresBuilder(int index) {
+      return getPartialFailuresFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) {
+      if (partialFailuresBuilder_ == null) {
+        return partialFailures_.get(index);
+      } else {
+        return partialFailuresBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<? extends com.google.rpc.StatusOrBuilder>
+        getPartialFailuresOrBuilderList() {
+      if (partialFailuresBuilder_ != null) {
+        return partialFailuresBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(partialFailures_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.Status.Builder addPartialFailuresBuilder() {
+      return getPartialFailuresFieldBuilder()
+          .addBuilder(com.google.rpc.Status.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.Status.Builder addPartialFailuresBuilder(int index) {
+      return getPartialFailuresFieldBuilder()
+          .addBuilder(index, com.google.rpc.Status.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * For example, single files that can't be read.
+     * This field never exceeds 20 entries.
+     * Status details fields contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.rpc.Status.Builder> getPartialFailuresBuilderList() {
+      return getPartialFailuresFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        getPartialFailuresFieldBuilder() {
+      if (partialFailuresBuilder_ == null) {
+        partialFailuresBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.rpc.Status,
+                com.google.rpc.Status.Builder,
+                com.google.rpc.StatusOrBuilder>(
+                partialFailures_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        partialFailures_ = null;
+      }
+      return partialFailuresBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.ResourcesConsumed resourcesConsumed_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ResourcesConsumed,
+            com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder,
+            com.google.cloud.aiplatform.v1.ResourcesConsumedOrBuilder>
+        resourcesConsumedBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the resourcesConsumed field is set.
+     */
+    public boolean hasResourcesConsumed() {
+      return resourcesConsumedBuilder_ != null || resourcesConsumed_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The resourcesConsumed.
+     */
+    public com.google.cloud.aiplatform.v1.ResourcesConsumed getResourcesConsumed() {
+      if (resourcesConsumedBuilder_ == null) {
+        return resourcesConsumed_ == null
+            ? com.google.cloud.aiplatform.v1.ResourcesConsumed.getDefaultInstance()
+            : resourcesConsumed_;
+      } else {
+        return resourcesConsumedBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setResourcesConsumed(com.google.cloud.aiplatform.v1.ResourcesConsumed value) {
+      if (resourcesConsumedBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resourcesConsumed_ = value;
+        onChanged();
+      } else {
+        resourcesConsumedBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setResourcesConsumed(
+        com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder builderForValue) {
+      if (resourcesConsumedBuilder_ == null) {
+        resourcesConsumed_ = builderForValue.build();
+        onChanged();
+      } else {
+        resourcesConsumedBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeResourcesConsumed(com.google.cloud.aiplatform.v1.ResourcesConsumed value) {
+      if (resourcesConsumedBuilder_ == null) {
+        if (resourcesConsumed_ != null) {
+          resourcesConsumed_ =
+              com.google.cloud.aiplatform.v1.ResourcesConsumed.newBuilder(resourcesConsumed_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          resourcesConsumed_ = value;
+        }
+        onChanged();
+      } else {
+        resourcesConsumedBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearResourcesConsumed() {
+      if (resourcesConsumedBuilder_ == null) {
+        resourcesConsumed_ = null;
+        onChanged();
+      } else {
+        resourcesConsumed_ = null;
+        resourcesConsumedBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder getResourcesConsumedBuilder() {
+
+      onChanged();
+      return getResourcesConsumedFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ResourcesConsumedOrBuilder
+        getResourcesConsumedOrBuilder() {
+      if (resourcesConsumedBuilder_ != null) {
+        return resourcesConsumedBuilder_.getMessageOrBuilder();
+      } else {
+        return resourcesConsumed_ == null
+            ? com.google.cloud.aiplatform.v1.ResourcesConsumed.getDefaultInstance()
+            : resourcesConsumed_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information about resources that had been consumed by this job.
+     * Provided in real time at best effort basis, as well as a final value
+     * once the job completes.
+     * Note: This field currently may be not populated for batch predictions that
+     * use AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ResourcesConsumed,
+            com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder,
+            com.google.cloud.aiplatform.v1.ResourcesConsumedOrBuilder>
+        getResourcesConsumedFieldBuilder() {
+      if (resourcesConsumedBuilder_ == null) {
+        resourcesConsumedBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ResourcesConsumed,
+                com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder,
+                com.google.cloud.aiplatform.v1.ResourcesConsumedOrBuilder>(
+                getResourcesConsumed(), getParentForChildren(), isClean());
+        resourcesConsumed_ = null;
+      }
+      return resourcesConsumedBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.CompletionStats completionStats_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CompletionStats,
+            com.google.cloud.aiplatform.v1.CompletionStats.Builder,
+            com.google.cloud.aiplatform.v1.CompletionStatsOrBuilder>
+        completionStatsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the completionStats field is set.
+     */
+    public boolean hasCompletionStats() {
+      return completionStatsBuilder_ != null || completionStats_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The completionStats.
+     */
+    public com.google.cloud.aiplatform.v1.CompletionStats getCompletionStats() {
+      if (completionStatsBuilder_ == null) {
+        return completionStats_ == null
+            ? com.google.cloud.aiplatform.v1.CompletionStats.getDefaultInstance()
+            : completionStats_;
+      } else {
+        return completionStatsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCompletionStats(com.google.cloud.aiplatform.v1.CompletionStats value) {
+      if (completionStatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        completionStats_ = value;
+        onChanged();
+      } else {
+        completionStatsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCompletionStats(
+        com.google.cloud.aiplatform.v1.CompletionStats.Builder builderForValue) {
+      if (completionStatsBuilder_ == null) {
+        completionStats_ = builderForValue.build();
+        onChanged();
+      } else {
+        completionStatsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCompletionStats(com.google.cloud.aiplatform.v1.CompletionStats value) {
+      if (completionStatsBuilder_ == null) {
+        if (completionStats_ != null) {
+          completionStats_ =
+              com.google.cloud.aiplatform.v1.CompletionStats.newBuilder(completionStats_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          completionStats_ = value;
+        }
+        onChanged();
+      } else {
+        completionStatsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCompletionStats() {
+      if (completionStatsBuilder_ == null) {
+        completionStats_ = null;
+        onChanged();
+      } else {
+        completionStats_ = null;
+        completionStatsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.CompletionStats.Builder getCompletionStatsBuilder() {
+
+      onChanged();
+      return getCompletionStatsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.CompletionStatsOrBuilder getCompletionStatsOrBuilder() {
+      if (completionStatsBuilder_ != null) {
+        return completionStatsBuilder_.getMessageOrBuilder();
+      } else {
+        return completionStats_ == null
+            ? com.google.cloud.aiplatform.v1.CompletionStats.getDefaultInstance()
+            : completionStats_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Statistics on completed and failed prediction instances.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CompletionStats,
+            com.google.cloud.aiplatform.v1.CompletionStats.Builder,
+            com.google.cloud.aiplatform.v1.CompletionStatsOrBuilder>
+        getCompletionStatsFieldBuilder() {
+      if (completionStatsBuilder_ == null) {
+        completionStatsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.CompletionStats,
+                com.google.cloud.aiplatform.v1.CompletionStats.Builder,
+                com.google.cloud.aiplatform.v1.CompletionStatsOrBuilder>(
+                getCompletionStats(), getParentForChildren(), isClean());
+        completionStats_ = null;
+      }
+      return completionStatsBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp startTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        startTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the startTime field is set.
+     */
+    public boolean hasStartTime() {
+      return startTimeBuilder_ != null || startTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The startTime.
+     */
+    public com.google.protobuf.Timestamp getStartTime() {
+      if (startTimeBuilder_ == null) {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      } else {
+        return startTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        startTime_ = value;
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (startTimeBuilder_ == null) {
+        startTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (startTime_ != null) {
+          startTime_ =
+              com.google.protobuf.Timestamp.newBuilder(startTime_).mergeFrom(value).buildPartial();
+        } else {
+          startTime_ = value;
+        }
+        onChanged();
+      } else {
+        startTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearStartTime() {
+      if (startTimeBuilder_ == null) {
+        startTime_ = null;
+        onChanged();
+      } else {
+        startTime_ = null;
+        startTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
+
+      onChanged();
+      return getStartTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+      if (startTimeBuilder_ != null) {
+        return startTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getStartTimeFieldBuilder() {
+      if (startTimeBuilder_ == null) {
+        startTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getStartTime(), getParentForChildren(), isClean());
+        startTime_ = null;
+      }
+      return startTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp endTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        endTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the endTime field is set.
+     */
+    public boolean hasEndTime() {
+      return endTimeBuilder_ != null || endTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The endTime.
+     */
+    public com.google.protobuf.Timestamp getEndTime() {
+      if (endTimeBuilder_ == null) {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      } else {
+        return endTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        endTime_ = value;
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (endTimeBuilder_ == null) {
+        endTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (endTime_ != null) {
+          endTime_ =
+              com.google.protobuf.Timestamp.newBuilder(endTime_).mergeFrom(value).buildPartial();
+        } else {
+          endTime_ = value;
+        }
+        onChanged();
+      } else {
+        endTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearEndTime() {
+      if (endTimeBuilder_ == null) {
+        endTime_ = null;
+        onChanged();
+      } else {
+        endTime_ = null;
+        endTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
+
+      onChanged();
+      return getEndTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+      if (endTimeBuilder_ != null) {
+        return endTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getEndTimeFieldBuilder() {
+      if (endTimeBuilder_ == null) {
+        endTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getEndTime(), getParentForChildren(), isClean());
+        endTime_ = null;
+      }
+      return endTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the BatchPredictionJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize BatchPredictionJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 19;</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize BatchPredictionJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 19;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize BatchPredictionJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 19;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize BatchPredictionJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 19;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize BatchPredictionJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 19;</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize BatchPredictionJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 19;</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize BatchPredictionJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 19;</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BatchPredictionJob)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BatchPredictionJob)
+  private static final com.google.cloud.aiplatform.v1.BatchPredictionJob DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BatchPredictionJob();
+  }
+
+  public static com.google.cloud.aiplatform.v1.BatchPredictionJob getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<BatchPredictionJob> PARSER =
+      new com.google.protobuf.AbstractParser<BatchPredictionJob>() {
+        @java.lang.Override
+        public BatchPredictionJob parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BatchPredictionJob(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<BatchPredictionJob> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<BatchPredictionJob> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobName.java
new file mode 100644
index 000000000..7d847f9fd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobName.java
@@ -0,0 +1,231 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class BatchPredictionJobName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_BATCH_PREDICTION_JOB =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String batchPredictionJob;
+
+  @Deprecated
+  protected BatchPredictionJobName() {
+    project = null;
+    location = null;
+    batchPredictionJob = null;
+  }
+
+  private BatchPredictionJobName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    batchPredictionJob = Preconditions.checkNotNull(builder.getBatchPredictionJob());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getBatchPredictionJob() {
+    return batchPredictionJob;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static BatchPredictionJobName of(
+      String project, String location, String batchPredictionJob) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setBatchPredictionJob(batchPredictionJob)
+        .build();
+  }
+
+  public static String format(String project, String location, String batchPredictionJob) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setBatchPredictionJob(batchPredictionJob)
+        .build()
+        .toString();
+  }
+
+  public static BatchPredictionJobName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_BATCH_PREDICTION_JOB.validatedMatch(
+            formattedString, "BatchPredictionJobName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"), matchMap.get("location"), matchMap.get("batch_prediction_job"));
+  }
+
+  public static List<BatchPredictionJobName> parseList(List<String> formattedStrings) {
+    List<BatchPredictionJobName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<BatchPredictionJobName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (BatchPredictionJobName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_BATCH_PREDICTION_JOB.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (batchPredictionJob != null) {
+            fieldMapBuilder.put("batch_prediction_job", batchPredictionJob);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_BATCH_PREDICTION_JOB.instantiate(
+        "project", project, "location", location, "batch_prediction_job", batchPredictionJob);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      BatchPredictionJobName that = ((BatchPredictionJobName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.batchPredictionJob, that.batchPredictionJob);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(batchPredictionJob);
+    return h;
+  }
+
+  /**
+   * Builder for projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}.
+   */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String batchPredictionJob;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getBatchPredictionJob() {
+      return batchPredictionJob;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setBatchPredictionJob(String batchPredictionJob) {
+      this.batchPredictionJob = batchPredictionJob;
+      return this;
+    }
+
+    private Builder(BatchPredictionJobName batchPredictionJobName) {
+      project = batchPredictionJobName.project;
+      location = batchPredictionJobName.location;
+      batchPredictionJob = batchPredictionJobName.batchPredictionJob;
+    }
+
+    public BatchPredictionJobName build() {
+      return new BatchPredictionJobName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobOrBuilder.java
new file mode 100644
index 000000000..92db3a756
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobOrBuilder.java
@@ -0,0 +1,916 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/batch_prediction_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface BatchPredictionJobOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BatchPredictionJob)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the BatchPredictionJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the BatchPredictionJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of this BatchPredictionJob.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of this BatchPredictionJob.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model that produces the predictions via this job,
+   * must share the same ancestor Location.
+   * Starting this job has no impact on any existing deployments of the Model
+   * and their resources.
+   * </pre>
+   *
+   * <code>
+   * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The model.
+   */
+  java.lang.String getModel();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model that produces the predictions via this job,
+   * must share the same ancestor Location.
+   * Starting this job has no impact on any existing deployments of the Model
+   * and their resources.
+   * </pre>
+   *
+   * <code>
+   * string model = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for model.
+   */
+  com.google.protobuf.ByteString getModelBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input configuration of the instances on which predictions are performed.
+   * The schema of any single instance may be specified via
+   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the inputConfig field is set.
+   */
+  boolean hasInputConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input configuration of the instances on which predictions are performed.
+   * The schema of any single instance may be specified via
+   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The inputConfig.
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig getInputConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input configuration of the instances on which predictions are performed.
+   * The schema of any single instance may be specified via
+   * the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfigOrBuilder getInputConfigOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the predictions. The schema of the parameters
+   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value model_parameters = 5;</code>
+   *
+   * @return Whether the modelParameters field is set.
+   */
+  boolean hasModelParameters();
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the predictions. The schema of the parameters
+   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value model_parameters = 5;</code>
+   *
+   * @return The modelParameters.
+   */
+  com.google.protobuf.Value getModelParameters();
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the predictions. The schema of the parameters
+   * may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value model_parameters = 5;</code>
+   */
+  com.google.protobuf.ValueOrBuilder getModelParametersOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * The schema of any single prediction may be specified as a concatenation
+   * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the outputConfig field is set.
+   */
+  boolean hasOutputConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * The schema of any single prediction may be specified as a concatenation
+   * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The outputConfig.
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig getOutputConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Configuration specifying where output predictions should
+   * be written.
+   * The schema of any single prediction may be specified as a concatenation
+   * of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+   * and
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfigOrBuilder
+      getOutputConfigOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The config of resources used by the Model during the batch prediction. If
+   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * DEDICATED_RESOURCES this config may be provided (and the job will use these
+   * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+   * must be provided.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+   *
+   * @return Whether the dedicatedResources field is set.
+   */
+  boolean hasDedicatedResources();
+  /**
+   *
+   *
+   * <pre>
+   * The config of resources used by the Model during the batch prediction. If
+   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * DEDICATED_RESOURCES this config may be provided (and the job will use these
+   * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+   * must be provided.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+   *
+   * @return The dedicatedResources.
+   */
+  com.google.cloud.aiplatform.v1.BatchDedicatedResources getDedicatedResources();
+  /**
+   *
+   *
+   * <pre>
+   * The config of resources used by the Model during the batch prediction. If
+   * the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+   * DEDICATED_RESOURCES this config may be provided (and the job will use these
+   * resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+   * must be provided.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;</code>
+   */
+  com.google.cloud.aiplatform.v1.BatchDedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+   * the tuning itself).
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return Whether the manualBatchTuningParameters field is set.
+   */
+  boolean hasManualBatchTuningParameters();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+   * the tuning itself).
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The manualBatchTuningParameters.
+   */
+  com.google.cloud.aiplatform.v1.ManualBatchTuningParameters getManualBatchTuningParameters();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Parameters configuring the batch behavior. Currently only applicable when
+   * [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+   * the tuning itself).
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ManualBatchTuningParametersOrBuilder
+      getManualBatchTuningParametersOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the outputInfo field is set.
+   */
+  boolean hasOutputInfo();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The outputInfo.
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo getOutputInfo();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfoOrBuilder getOutputInfoOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  int getStateValue();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  com.google.cloud.aiplatform.v1.JobState getState();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  boolean hasError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  com.google.rpc.Status getError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  com.google.rpc.StatusOrBuilder getErrorOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.rpc.Status> getPartialFailuresList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.rpc.Status getPartialFailures(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getPartialFailuresCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<? extends com.google.rpc.StatusOrBuilder> getPartialFailuresOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * For example, single files that can't be read.
+   * This field never exceeds 20 entries.
+   * Status details fields contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information about resources that had been consumed by this job.
+   * Provided in real time at best effort basis, as well as a final value
+   * once the job completes.
+   * Note: This field currently may be not populated for batch predictions that
+   * use AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the resourcesConsumed field is set.
+   */
+  boolean hasResourcesConsumed();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information about resources that had been consumed by this job.
+   * Provided in real time at best effort basis, as well as a final value
+   * once the job completes.
+   * Note: This field currently may be not populated for batch predictions that
+   * use AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The resourcesConsumed.
+   */
+  com.google.cloud.aiplatform.v1.ResourcesConsumed getResourcesConsumed();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information about resources that had been consumed by this job.
+   * Provided in real time at best effort basis, as well as a final value
+   * once the job completes.
+   * Note: This field currently may be not populated for batch predictions that
+   * use AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ResourcesConsumedOrBuilder getResourcesConsumedOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Statistics on completed and failed prediction instances.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the completionStats field is set.
+   */
+  boolean hasCompletionStats();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Statistics on completed and failed prediction instances.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The completionStats.
+   */
+  com.google.cloud.aiplatform.v1.CompletionStats getCompletionStats();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Statistics on completed and failed prediction instances.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.CompletionStatsOrBuilder getCompletionStatsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  boolean hasStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  com.google.protobuf.Timestamp getStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  boolean hasEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  com.google.protobuf.Timestamp getEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the BatchPredictionJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize BatchPredictionJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 19;</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobProto.java
new file mode 100644
index 000000000..56a84330f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BatchPredictionJobProto.java
@@ -0,0 +1,234 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/batch_prediction_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class BatchPredictionJobProto {
+  private BatchPredictionJobProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n5google/cloud/aiplatform/v1/batch_predi"
+          + "ction_job.proto\022\032google.cloud.aiplatform"
+          + ".v1\032\037google/api/field_behavior.proto\032\031go"
+          + "ogle/api/resource.proto\0321google/cloud/ai"
+          + "platform/v1/completion_stats.proto\0320goog"
+          + "le/cloud/aiplatform/v1/encryption_spec.p"
+          + "roto\032#google/cloud/aiplatform/v1/io.prot"
+          + "o\032*google/cloud/aiplatform/v1/job_state."
+          + "proto\0322google/cloud/aiplatform/v1/machin"
+          + "e_resources.proto\032?google/cloud/aiplatfo"
+          + "rm/v1/manual_batch_tuning_parameters.pro"
+          + "to\032\034google/protobuf/struct.proto\032\037google"
+          + "/protobuf/timestamp.proto\032\027google/rpc/st"
+          + "atus.proto\032\034google/api/annotations.proto"
+          + "\"\273\017\n\022BatchPredictionJob\022\021\n\004name\030\001 \001(\tB\003\340"
+          + "A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\0226\n\005model\030\003"
+          + " \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis.com/"
+          + "Model\022U\n\014input_config\030\004 \001(\0132:.google.clo"
+          + "ud.aiplatform.v1.BatchPredictionJob.Inpu"
+          + "tConfigB\003\340A\002\0220\n\020model_parameters\030\005 \001(\0132\026"
+          + ".google.protobuf.Value\022W\n\routput_config\030"
+          + "\006 \001(\0132;.google.cloud.aiplatform.v1.Batch"
+          + "PredictionJob.OutputConfigB\003\340A\002\022P\n\023dedic"
+          + "ated_resources\030\007 \001(\01323.google.cloud.aipl"
+          + "atform.v1.BatchDedicatedResources\022d\n\036man"
+          + "ual_batch_tuning_parameters\030\010 \001(\01327.goog"
+          + "le.cloud.aiplatform.v1.ManualBatchTuning"
+          + "ParametersB\003\340A\005\022S\n\013output_info\030\t \001(\01329.g"
+          + "oogle.cloud.aiplatform.v1.BatchPredictio"
+          + "nJob.OutputInfoB\003\340A\003\0228\n\005state\030\n \001(\0162$.go"
+          + "ogle.cloud.aiplatform.v1.JobStateB\003\340A\003\022&"
+          + "\n\005error\030\013 \001(\0132\022.google.rpc.StatusB\003\340A\003\0221"
+          + "\n\020partial_failures\030\014 \003(\0132\022.google.rpc.St"
+          + "atusB\003\340A\003\022N\n\022resources_consumed\030\r \001(\0132-."
+          + "google.cloud.aiplatform.v1.ResourcesCons"
+          + "umedB\003\340A\003\022J\n\020completion_stats\030\016 \001(\0132+.go"
+          + "ogle.cloud.aiplatform.v1.CompletionStats"
+          + "B\003\340A\003\0224\n\013create_time\030\017 \001(\0132\032.google.prot"
+          + "obuf.TimestampB\003\340A\003\0223\n\nstart_time\030\020 \001(\0132"
+          + "\032.google.protobuf.TimestampB\003\340A\003\0221\n\010end_"
+          + "time\030\021 \001(\0132\032.google.protobuf.TimestampB\003"
+          + "\340A\003\0224\n\013update_time\030\022 \001(\0132\032.google.protob"
+          + "uf.TimestampB\003\340A\003\022J\n\006labels\030\023 \003(\0132:.goog"
+          + "le.cloud.aiplatform.v1.BatchPredictionJo"
+          + "b.LabelsEntry\022C\n\017encryption_spec\030\030 \001(\0132*"
+          + ".google.cloud.aiplatform.v1.EncryptionSp"
+          + "ec\032\272\001\n\013InputConfig\022;\n\ngcs_source\030\002 \001(\0132%"
+          + ".google.cloud.aiplatform.v1.GcsSourceH\000\022"
+          + "E\n\017bigquery_source\030\003 \001(\0132*.google.cloud."
+          + "aiplatform.v1.BigQuerySourceH\000\022\035\n\020instan"
+          + "ces_format\030\001 \001(\tB\003\340A\002B\010\n\006source\032\326\001\n\014Outp"
+          + "utConfig\022E\n\017gcs_destination\030\002 \001(\0132*.goog"
+          + "le.cloud.aiplatform.v1.GcsDestinationH\000\022"
+          + "O\n\024bigquery_destination\030\003 \001(\0132/.google.c"
+          + "loud.aiplatform.v1.BigQueryDestinationH\000"
+          + "\022\037\n\022predictions_format\030\001 \001(\tB\003\340A\002B\r\n\013des"
+          + "tination\032l\n\nOutputInfo\022#\n\024gcs_output_dir"
+          + "ectory\030\001 \001(\tB\003\340A\003H\000\022&\n\027bigquery_output_d"
+          + "ataset\030\002 \001(\tB\003\340A\003H\000B\021\n\017output_location\032-"
+          + "\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001("
+          + "\t:\0028\001:\206\001\352A\202\001\n,aiplatform.googleapis.com/"
+          + "BatchPredictionJob\022Rprojects/{project}/l"
+          + "ocations/{location}/batchPredictionJobs/"
+          + "{batch_prediction_job}B\201\001\n\036com.google.cl"
+          + "oud.aiplatform.v1B\027BatchPredictionJobPro"
+          + "toP\001ZDgoogle.golang.org/genproto/googlea"
+          + "pis/cloud/aiplatform/v1;aiplatformb\006prot"
+          + "o3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.CompletionStatsProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.IoProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.MachineResourcesProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "Model",
+              "InputConfig",
+              "ModelParameters",
+              "OutputConfig",
+              "DedicatedResources",
+              "ManualBatchTuningParameters",
+              "OutputInfo",
+              "State",
+              "Error",
+              "PartialFailures",
+              "ResourcesConsumed",
+              "CompletionStats",
+              "CreateTime",
+              "StartTime",
+              "EndTime",
+              "UpdateTime",
+              "Labels",
+              "EncryptionSpec",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_InputConfig_descriptor,
+            new java.lang.String[] {
+              "GcsSource", "BigquerySource", "InstancesFormat", "Source",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputConfig_descriptor,
+            new java.lang.String[] {
+              "GcsDestination", "BigqueryDestination", "PredictionsFormat", "Destination",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_descriptor =
+        internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor
+            .getNestedTypes()
+            .get(2);
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_OutputInfo_descriptor,
+            new java.lang.String[] {
+              "GcsOutputDirectory", "BigqueryOutputDataset", "OutputLocation",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_descriptor
+            .getNestedTypes()
+            .get(3);
+    internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchPredictionJob_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.CompletionStatsProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.IoProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.MachineResourcesProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQueryDestination.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQueryDestination.java
new file mode 100644
index 000000000..455250292
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQueryDestination.java
@@ -0,0 +1,678 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * The BigQuery location for the output content.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.BigQueryDestination}
+ */
+public final class BigQueryDestination extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BigQueryDestination)
+    BigQueryDestinationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BigQueryDestination.newBuilder() to construct.
+  private BigQueryDestination(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private BigQueryDestination() {
+    outputUri_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new BigQueryDestination();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BigQueryDestination(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              outputUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_BigQueryDestination_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_BigQueryDestination_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.BigQueryDestination.class,
+            com.google.cloud.aiplatform.v1.BigQueryDestination.Builder.class);
+  }
+
+  public static final int OUTPUT_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object outputUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only the project is specified, the Dataset and Table are created.
+   * When the full table reference is specified, the Dataset must exist and table must
+   * not exist.
+   * Accepted forms:
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+   * </pre>
+   *
+   * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The outputUri.
+   */
+  @java.lang.Override
+  public java.lang.String getOutputUri() {
+    java.lang.Object ref = outputUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      outputUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only the project is specified, the Dataset and Table are created.
+   * When the full table reference is specified, the Dataset must exist and table must
+   * not exist.
+   * Accepted forms:
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+   * </pre>
+   *
+   * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for outputUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getOutputUriBytes() {
+    java.lang.Object ref = outputUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      outputUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getOutputUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getOutputUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputUri_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.BigQueryDestination)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.BigQueryDestination other =
+        (com.google.cloud.aiplatform.v1.BigQueryDestination) obj;
+
+    if (!getOutputUri().equals(other.getOutputUri())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + OUTPUT_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getOutputUri().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.BigQueryDestination prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The BigQuery location for the output content.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BigQueryDestination}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BigQueryDestination)
+      com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_BigQueryDestination_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_BigQueryDestination_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BigQueryDestination.class,
+              com.google.cloud.aiplatform.v1.BigQueryDestination.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.BigQueryDestination.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      outputUri_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_BigQueryDestination_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQueryDestination getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQueryDestination build() {
+      com.google.cloud.aiplatform.v1.BigQueryDestination result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQueryDestination buildPartial() {
+      com.google.cloud.aiplatform.v1.BigQueryDestination result =
+          new com.google.cloud.aiplatform.v1.BigQueryDestination(this);
+      result.outputUri_ = outputUri_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.BigQueryDestination) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.BigQueryDestination) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.BigQueryDestination other) {
+      if (other == com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance())
+        return this;
+      if (!other.getOutputUri().isEmpty()) {
+        outputUri_ = other.outputUri_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.BigQueryDestination parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.BigQueryDestination) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object outputUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only the project is specified, the Dataset and Table are created.
+     * When the full table reference is specified, the Dataset must exist and table must
+     * not exist.
+     * Accepted forms:
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The outputUri.
+     */
+    public java.lang.String getOutputUri() {
+      java.lang.Object ref = outputUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        outputUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only the project is specified, the Dataset and Table are created.
+     * When the full table reference is specified, the Dataset must exist and table must
+     * not exist.
+     * Accepted forms:
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for outputUri.
+     */
+    public com.google.protobuf.ByteString getOutputUriBytes() {
+      java.lang.Object ref = outputUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        outputUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only the project is specified, the Dataset and Table are created.
+     * When the full table reference is specified, the Dataset must exist and table must
+     * not exist.
+     * Accepted forms:
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The outputUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOutputUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      outputUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only the project is specified, the Dataset and Table are created.
+     * When the full table reference is specified, the Dataset must exist and table must
+     * not exist.
+     * Accepted forms:
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOutputUri() {
+
+      outputUri_ = getDefaultInstance().getOutputUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only the project is specified, the Dataset and Table are created.
+     * When the full table reference is specified, the Dataset must exist and table must
+     * not exist.
+     * Accepted forms:
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for outputUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOutputUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      outputUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BigQueryDestination)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BigQueryDestination)
+  private static final com.google.cloud.aiplatform.v1.BigQueryDestination DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BigQueryDestination();
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQueryDestination getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<BigQueryDestination> PARSER =
+      new com.google.protobuf.AbstractParser<BigQueryDestination>() {
+        @java.lang.Override
+        public BigQueryDestination parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BigQueryDestination(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<BigQueryDestination> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<BigQueryDestination> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BigQueryDestination getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQueryDestinationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQueryDestinationOrBuilder.java
new file mode 100644
index 000000000..156c5c142
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQueryDestinationOrBuilder.java
@@ -0,0 +1,62 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface BigQueryDestinationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BigQueryDestination)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only the project is specified, the Dataset and Table are created.
+   * When the full table reference is specified, the Dataset must exist and table must
+   * not exist.
+   * Accepted forms:
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+   * </pre>
+   *
+   * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The outputUri.
+   */
+  java.lang.String getOutputUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only the project is specified, the Dataset and Table are created.
+   * When the full table reference is specified, the Dataset must exist and table must
+   * not exist.
+   * Accepted forms:
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+   * </pre>
+   *
+   * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for outputUri.
+   */
+  com.google.protobuf.ByteString getOutputUriBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQuerySource.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQuerySource.java
new file mode 100644
index 000000000..3f3ff398a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQuerySource.java
@@ -0,0 +1,648 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * The BigQuery location for the input content.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.BigQuerySource}
+ */
+public final class BigQuerySource extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.BigQuerySource)
+    BigQuerySourceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use BigQuerySource.newBuilder() to construct.
+  private BigQuerySource(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private BigQuerySource() {
+    inputUri_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new BigQuerySource();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private BigQuerySource(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              inputUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_BigQuerySource_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_BigQuerySource_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.BigQuerySource.class,
+            com.google.cloud.aiplatform.v1.BigQuerySource.Builder.class);
+  }
+
+  public static final int INPUT_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object inputUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+   * </pre>
+   *
+   * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The inputUri.
+   */
+  @java.lang.Override
+  public java.lang.String getInputUri() {
+    java.lang.Object ref = inputUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      inputUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+   * </pre>
+   *
+   * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for inputUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getInputUriBytes() {
+    java.lang.Object ref = inputUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      inputUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getInputUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, inputUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getInputUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, inputUri_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.BigQuerySource)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.BigQuerySource other =
+        (com.google.cloud.aiplatform.v1.BigQuerySource) obj;
+
+    if (!getInputUri().equals(other.getInputUri())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + INPUT_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getInputUri().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.BigQuerySource prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The BigQuery location for the input content.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.BigQuerySource}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.BigQuerySource)
+      com.google.cloud.aiplatform.v1.BigQuerySourceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_BigQuerySource_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_BigQuerySource_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.BigQuerySource.class,
+              com.google.cloud.aiplatform.v1.BigQuerySource.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.BigQuerySource.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      inputUri_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_BigQuerySource_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQuerySource getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQuerySource build() {
+      com.google.cloud.aiplatform.v1.BigQuerySource result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQuerySource buildPartial() {
+      com.google.cloud.aiplatform.v1.BigQuerySource result =
+          new com.google.cloud.aiplatform.v1.BigQuerySource(this);
+      result.inputUri_ = inputUri_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.BigQuerySource) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.BigQuerySource) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.BigQuerySource other) {
+      if (other == com.google.cloud.aiplatform.v1.BigQuerySource.getDefaultInstance()) return this;
+      if (!other.getInputUri().isEmpty()) {
+        inputUri_ = other.inputUri_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.BigQuerySource parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.BigQuerySource) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object inputUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The inputUri.
+     */
+    public java.lang.String getInputUri() {
+      java.lang.Object ref = inputUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        inputUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for inputUri.
+     */
+    public com.google.protobuf.ByteString getInputUriBytes() {
+      java.lang.Object ref = inputUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        inputUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The inputUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInputUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      inputUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearInputUri() {
+
+      inputUri_ = getDefaultInstance().getInputUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. BigQuery URI to a table, up to 2000 characters long.
+     * Accepted forms:
+     * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+     * </pre>
+     *
+     * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for inputUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInputUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      inputUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.BigQuerySource)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.BigQuerySource)
+  private static final com.google.cloud.aiplatform.v1.BigQuerySource DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.BigQuerySource();
+  }
+
+  public static com.google.cloud.aiplatform.v1.BigQuerySource getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<BigQuerySource> PARSER =
+      new com.google.protobuf.AbstractParser<BigQuerySource>() {
+        @java.lang.Override
+        public BigQuerySource parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new BigQuerySource(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<BigQuerySource> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<BigQuerySource> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BigQuerySource getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQuerySourceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQuerySourceOrBuilder.java
new file mode 100644
index 000000000..eb914ab15
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/BigQuerySourceOrBuilder.java
@@ -0,0 +1,54 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface BigQuerySourceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.BigQuerySource)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+   * </pre>
+   *
+   * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The inputUri.
+   */
+  java.lang.String getInputUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. BigQuery URI to a table, up to 2000 characters long.
+   * Accepted forms:
+   * *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+   * </pre>
+   *
+   * <code>string input_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for inputUri.
+   */
+  com.google.protobuf.ByteString getInputUriBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequest.java
new file mode 100644
index 000000000..633333991
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequest.java
@@ -0,0 +1,672 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest}
+ */
+public final class CancelBatchPredictionJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest)
+    CancelBatchPredictionJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CancelBatchPredictionJobRequest.newBuilder() to construct.
+  private CancelBatchPredictionJobRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CancelBatchPredictionJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CancelBatchPredictionJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CancelBatchPredictionJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelBatchPredictionJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelBatchPredictionJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.class,
+            com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest other =
+        (com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest)
+      com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelBatchPredictionJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelBatchPredictionJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.class,
+              com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelBatchPredictionJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest build() {
+      com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest result =
+          new com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest)
+  private static final com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CancelBatchPredictionJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CancelBatchPredictionJobRequest>() {
+        @java.lang.Override
+        public CancelBatchPredictionJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CancelBatchPredictionJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CancelBatchPredictionJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CancelBatchPredictionJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequestOrBuilder.java
new file mode 100644
index 000000000..9bfe72083
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelBatchPredictionJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CancelBatchPredictionJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequest.java
new file mode 100644
index 000000000..8fd0a2da9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CancelCustomJobRequest}
+ */
+public final class CancelCustomJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CancelCustomJobRequest)
+    CancelCustomJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CancelCustomJobRequest.newBuilder() to construct.
+  private CancelCustomJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CancelCustomJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CancelCustomJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CancelCustomJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CancelCustomJobRequest.class,
+            com.google.cloud.aiplatform.v1.CancelCustomJobRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
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+  public int getSerializedSize() {
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+    if (size != -1) return size;
+
+    size = 0;
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+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CancelCustomJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CancelCustomJobRequest other =
+        (com.google.cloud.aiplatform.v1.CancelCustomJobRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CancelCustomJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CancelCustomJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CancelCustomJobRequest)
+      com.google.cloud.aiplatform.v1.CancelCustomJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CancelCustomJobRequest.class,
+              com.google.cloud.aiplatform.v1.CancelCustomJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CancelCustomJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelCustomJobRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CancelCustomJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelCustomJobRequest build() {
+      com.google.cloud.aiplatform.v1.CancelCustomJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelCustomJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CancelCustomJobRequest result =
+          new com.google.cloud.aiplatform.v1.CancelCustomJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CancelCustomJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CancelCustomJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CancelCustomJobRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.CancelCustomJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CancelCustomJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CancelCustomJobRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CancelCustomJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CancelCustomJobRequest)
+  private static final com.google.cloud.aiplatform.v1.CancelCustomJobRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CancelCustomJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelCustomJobRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CancelCustomJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CancelCustomJobRequest>() {
+        @java.lang.Override
+        public CancelCustomJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CancelCustomJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CancelCustomJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CancelCustomJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CancelCustomJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequestOrBuilder.java
new file mode 100644
index 000000000..41ed6425a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelCustomJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CancelCustomJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CancelCustomJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequest.java
new file mode 100644
index 000000000..74ddc4270
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DataLabelingJobService.CancelDataLabelingJob][].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CancelDataLabelingJobRequest}
+ */
+public final class CancelDataLabelingJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CancelDataLabelingJobRequest)
+    CancelDataLabelingJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CancelDataLabelingJobRequest.newBuilder() to construct.
+  private CancelDataLabelingJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CancelDataLabelingJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CancelDataLabelingJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CancelDataLabelingJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
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+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelDataLabelingJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelDataLabelingJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.class,
+            com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest other =
+        (com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [DataLabelingJobService.CancelDataLabelingJob][].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CancelDataLabelingJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CancelDataLabelingJobRequest)
+      com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelDataLabelingJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelDataLabelingJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.class,
+              com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelDataLabelingJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest build() {
+      com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest result =
+          new com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
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+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CancelDataLabelingJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CancelDataLabelingJobRequest)
+  private static final com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CancelDataLabelingJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CancelDataLabelingJobRequest>() {
+        @java.lang.Override
+        public CancelDataLabelingJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CancelDataLabelingJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CancelDataLabelingJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CancelDataLabelingJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequestOrBuilder.java
new file mode 100644
index 000000000..237b71b97
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelDataLabelingJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CancelDataLabelingJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CancelDataLabelingJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequest.java
new file mode 100644
index 000000000..1f78f0ca0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequest.java
@@ -0,0 +1,678 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest}
+ */
+public final class CancelHyperparameterTuningJobRequest
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest)
+    CancelHyperparameterTuningJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CancelHyperparameterTuningJobRequest.newBuilder() to construct.
+  private CancelHyperparameterTuningJobRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CancelHyperparameterTuningJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CancelHyperparameterTuningJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CancelHyperparameterTuningJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelHyperparameterTuningJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelHyperparameterTuningJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest.class,
+            com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest other =
+        (com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest)
+      com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelHyperparameterTuningJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelHyperparameterTuningJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest.class,
+              com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelHyperparameterTuningJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest build() {
+      com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest result =
+          new com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+              .getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest)
+  private static final com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CancelHyperparameterTuningJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CancelHyperparameterTuningJobRequest>() {
+        @java.lang.Override
+        public CancelHyperparameterTuningJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CancelHyperparameterTuningJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CancelHyperparameterTuningJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CancelHyperparameterTuningJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequestOrBuilder.java
new file mode 100644
index 000000000..958eb235c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelHyperparameterTuningJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CancelHyperparameterTuningJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequest.java
new file mode 100644
index 000000000..1306a94ab
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequest.java
@@ -0,0 +1,668 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CancelTrainingPipelineRequest}
+ */
+public final class CancelTrainingPipelineRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CancelTrainingPipelineRequest)
+    CancelTrainingPipelineRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CancelTrainingPipelineRequest.newBuilder() to construct.
+  private CancelTrainingPipelineRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CancelTrainingPipelineRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CancelTrainingPipelineRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CancelTrainingPipelineRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.class,
+            com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
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+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest other =
+        (com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CancelTrainingPipelineRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CancelTrainingPipelineRequest)
+      com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.class,
+              com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest build() {
+      com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest result =
+          new com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline to cancel.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CancelTrainingPipelineRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CancelTrainingPipelineRequest)
+  private static final com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CancelTrainingPipelineRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CancelTrainingPipelineRequest>() {
+        @java.lang.Override
+        public CancelTrainingPipelineRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CancelTrainingPipelineRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CancelTrainingPipelineRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CancelTrainingPipelineRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequestOrBuilder.java
new file mode 100644
index 000000000..be594483c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CancelTrainingPipelineRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CancelTrainingPipelineRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CancelTrainingPipelineRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline to cancel.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStats.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStats.java
new file mode 100644
index 000000000..482415e6a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStats.java
@@ -0,0 +1,742 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/completion_stats.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Success and error statistics of processing multiple entities
+ * (for example, DataItems or structured data rows) in batch.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CompletionStats}
+ */
+public final class CompletionStats extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CompletionStats)
+    CompletionStatsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CompletionStats.newBuilder() to construct.
+  private CompletionStats(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CompletionStats() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CompletionStats();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CompletionStats(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              successfulCount_ = input.readInt64();
+              break;
+            }
+          case 16:
+            {
+              failedCount_ = input.readInt64();
+              break;
+            }
+          case 24:
+            {
+              incompleteCount_ = input.readInt64();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.CompletionStatsProto
+        .internal_static_google_cloud_aiplatform_v1_CompletionStats_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.CompletionStatsProto
+        .internal_static_google_cloud_aiplatform_v1_CompletionStats_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CompletionStats.class,
+            com.google.cloud.aiplatform.v1.CompletionStats.Builder.class);
+  }
+
+  public static final int SUCCESSFUL_COUNT_FIELD_NUMBER = 1;
+  private long successfulCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of entities that had been processed successfully.
+   * </pre>
+   *
+   * <code>int64 successful_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The successfulCount.
+   */
+  @java.lang.Override
+  public long getSuccessfulCount() {
+    return successfulCount_;
+  }
+
+  public static final int FAILED_COUNT_FIELD_NUMBER = 2;
+  private long failedCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of entities for which any error was encountered.
+   * </pre>
+   *
+   * <code>int64 failed_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The failedCount.
+   */
+  @java.lang.Override
+  public long getFailedCount() {
+    return failedCount_;
+  }
+
+  public static final int INCOMPLETE_COUNT_FIELD_NUMBER = 3;
+  private long incompleteCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. In cases when enough errors are encountered a job, pipeline, or operation
+   * may be failed as a whole. Below is the number of entities for which the
+   * processing had not been finished (either in successful or failed state).
+   * Set to -1 if the number is unknown (for example, the operation failed
+   * before the total entity number could be collected).
+   * </pre>
+   *
+   * <code>int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The incompleteCount.
+   */
+  @java.lang.Override
+  public long getIncompleteCount() {
+    return incompleteCount_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (successfulCount_ != 0L) {
+      output.writeInt64(1, successfulCount_);
+    }
+    if (failedCount_ != 0L) {
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+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (successfulCount_ != 0L) {
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+    }
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+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, incompleteCount_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CompletionStats)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CompletionStats other =
+        (com.google.cloud.aiplatform.v1.CompletionStats) obj;
+
+    if (getSuccessfulCount() != other.getSuccessfulCount()) return false;
+    if (getFailedCount() != other.getFailedCount()) return false;
+    if (getIncompleteCount() != other.getIncompleteCount()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + SUCCESSFUL_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getSuccessfulCount());
+    hash = (37 * hash) + FAILED_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getFailedCount());
+    hash = (37 * hash) + INCOMPLETE_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getIncompleteCount());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.CompletionStats prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Success and error statistics of processing multiple entities
+   * (for example, DataItems or structured data rows) in batch.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CompletionStats}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CompletionStats)
+      com.google.cloud.aiplatform.v1.CompletionStatsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.CompletionStatsProto
+          .internal_static_google_cloud_aiplatform_v1_CompletionStats_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.CompletionStatsProto
+          .internal_static_google_cloud_aiplatform_v1_CompletionStats_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CompletionStats.class,
+              com.google.cloud.aiplatform.v1.CompletionStats.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CompletionStats.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      successfulCount_ = 0L;
+
+      failedCount_ = 0L;
+
+      incompleteCount_ = 0L;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.CompletionStatsProto
+          .internal_static_google_cloud_aiplatform_v1_CompletionStats_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CompletionStats getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CompletionStats.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CompletionStats build() {
+      com.google.cloud.aiplatform.v1.CompletionStats result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CompletionStats buildPartial() {
+      com.google.cloud.aiplatform.v1.CompletionStats result =
+          new com.google.cloud.aiplatform.v1.CompletionStats(this);
+      result.successfulCount_ = successfulCount_;
+      result.failedCount_ = failedCount_;
+      result.incompleteCount_ = incompleteCount_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CompletionStats) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CompletionStats) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CompletionStats other) {
+      if (other == com.google.cloud.aiplatform.v1.CompletionStats.getDefaultInstance()) return this;
+      if (other.getSuccessfulCount() != 0L) {
+        setSuccessfulCount(other.getSuccessfulCount());
+      }
+      if (other.getFailedCount() != 0L) {
+        setFailedCount(other.getFailedCount());
+      }
+      if (other.getIncompleteCount() != 0L) {
+        setIncompleteCount(other.getIncompleteCount());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CompletionStats parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.CompletionStats) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private long successfulCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of entities that had been processed successfully.
+     * </pre>
+     *
+     * <code>int64 successful_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The successfulCount.
+     */
+    @java.lang.Override
+    public long getSuccessfulCount() {
+      return successfulCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of entities that had been processed successfully.
+     * </pre>
+     *
+     * <code>int64 successful_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The successfulCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSuccessfulCount(long value) {
+
+      successfulCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of entities that had been processed successfully.
+     * </pre>
+     *
+     * <code>int64 successful_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSuccessfulCount() {
+
+      successfulCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private long failedCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of entities for which any error was encountered.
+     * </pre>
+     *
+     * <code>int64 failed_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The failedCount.
+     */
+    @java.lang.Override
+    public long getFailedCount() {
+      return failedCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of entities for which any error was encountered.
+     * </pre>
+     *
+     * <code>int64 failed_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The failedCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFailedCount(long value) {
+
+      failedCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of entities for which any error was encountered.
+     * </pre>
+     *
+     * <code>int64 failed_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFailedCount() {
+
+      failedCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private long incompleteCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
+     * may be failed as a whole. Below is the number of entities for which the
+     * processing had not been finished (either in successful or failed state).
+     * Set to -1 if the number is unknown (for example, the operation failed
+     * before the total entity number could be collected).
+     * </pre>
+     *
+     * <code>int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The incompleteCount.
+     */
+    @java.lang.Override
+    public long getIncompleteCount() {
+      return incompleteCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
+     * may be failed as a whole. Below is the number of entities for which the
+     * processing had not been finished (either in successful or failed state).
+     * Set to -1 if the number is unknown (for example, the operation failed
+     * before the total entity number could be collected).
+     * </pre>
+     *
+     * <code>int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The incompleteCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setIncompleteCount(long value) {
+
+      incompleteCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. In cases when enough errors are encountered a job, pipeline, or operation
+     * may be failed as a whole. Below is the number of entities for which the
+     * processing had not been finished (either in successful or failed state).
+     * Set to -1 if the number is unknown (for example, the operation failed
+     * before the total entity number could be collected).
+     * </pre>
+     *
+     * <code>int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearIncompleteCount() {
+
+      incompleteCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CompletionStats)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CompletionStats)
+  private static final com.google.cloud.aiplatform.v1.CompletionStats DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CompletionStats();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CompletionStats getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CompletionStats> PARSER =
+      new com.google.protobuf.AbstractParser<CompletionStats>() {
+        @java.lang.Override
+        public CompletionStats parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CompletionStats(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CompletionStats> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CompletionStats> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CompletionStats getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsOrBuilder.java
new file mode 100644
index 000000000..d6a941614
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsOrBuilder.java
@@ -0,0 +1,68 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/completion_stats.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CompletionStatsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CompletionStats)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of entities that had been processed successfully.
+   * </pre>
+   *
+   * <code>int64 successful_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The successfulCount.
+   */
+  long getSuccessfulCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of entities for which any error was encountered.
+   * </pre>
+   *
+   * <code>int64 failed_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The failedCount.
+   */
+  long getFailedCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. In cases when enough errors are encountered a job, pipeline, or operation
+   * may be failed as a whole. Below is the number of entities for which the
+   * processing had not been finished (either in successful or failed state).
+   * Set to -1 if the number is unknown (for example, the operation failed
+   * before the total entity number could be collected).
+   * </pre>
+   *
+   * <code>int64 incomplete_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The incompleteCount.
+   */
+  long getIncompleteCount();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsProto.java
new file mode 100644
index 000000000..45279acf7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CompletionStatsProto.java
@@ -0,0 +1,82 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/completion_stats.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class CompletionStatsProto {
+  private CompletionStatsProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CompletionStats_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CompletionStats_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n1google/cloud/aiplatform/v1/completion_"
+          + "stats.proto\022\032google.cloud.aiplatform.v1\032"
+          + "\037google/api/field_behavior.proto\032\027google"
+          + "/rpc/status.proto\032\034google/api/annotation"
+          + "s.proto\"j\n\017CompletionStats\022\035\n\020successful"
+          + "_count\030\001 \001(\003B\003\340A\003\022\031\n\014failed_count\030\002 \001(\003B"
+          + "\003\340A\003\022\035\n\020incomplete_count\030\003 \001(\003B\003\340A\003B~\n\036c"
+          + "om.google.cloud.aiplatform.v1B\024Completio"
+          + "nStatsProtoP\001ZDgoogle.golang.org/genprot"
+          + "o/googleapis/cloud/aiplatform/v1;aiplatf"
+          + "ormb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_CompletionStats_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_CompletionStats_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CompletionStats_descriptor,
+            new java.lang.String[] {
+              "SuccessfulCount", "FailedCount", "IncompleteCount",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerRegistryDestination.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerRegistryDestination.java
new file mode 100644
index 000000000..f8abda767
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerRegistryDestination.java
@@ -0,0 +1,686 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * The Container Registry location for the container image.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ContainerRegistryDestination}
+ */
+public final class ContainerRegistryDestination extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ContainerRegistryDestination)
+    ContainerRegistryDestinationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ContainerRegistryDestination.newBuilder() to construct.
+  private ContainerRegistryDestination(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ContainerRegistryDestination() {
+    outputUri_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ContainerRegistryDestination();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ContainerRegistryDestination(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              outputUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ContainerRegistryDestination.class,
+            com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder.class);
+  }
+
+  public static final int OUTPUT_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object outputUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Container Registry URI of a container image.
+   * Only Google Container Registry and Artifact Registry are supported now.
+   * Accepted forms:
+   * *  Google Container Registry path. For example:
+   *    `gcr.io/projectId/imageName:tag`.
+   * *  Artifact Registry path. For example:
+   *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+   * If a tag is not specified, "latest" will be used as the default tag.
+   * </pre>
+   *
+   * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The outputUri.
+   */
+  @java.lang.Override
+  public java.lang.String getOutputUri() {
+    java.lang.Object ref = outputUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      outputUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Container Registry URI of a container image.
+   * Only Google Container Registry and Artifact Registry are supported now.
+   * Accepted forms:
+   * *  Google Container Registry path. For example:
+   *    `gcr.io/projectId/imageName:tag`.
+   * *  Artifact Registry path. For example:
+   *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+   * If a tag is not specified, "latest" will be used as the default tag.
+   * </pre>
+   *
+   * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for outputUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getOutputUriBytes() {
+    java.lang.Object ref = outputUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      outputUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getOutputUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getOutputUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputUri_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ContainerRegistryDestination)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ContainerRegistryDestination other =
+        (com.google.cloud.aiplatform.v1.ContainerRegistryDestination) obj;
+
+    if (!getOutputUri().equals(other.getOutputUri())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + OUTPUT_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getOutputUri().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ContainerRegistryDestination prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Container Registry location for the container image.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ContainerRegistryDestination}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ContainerRegistryDestination)
+      com.google.cloud.aiplatform.v1.ContainerRegistryDestinationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ContainerRegistryDestination.class,
+              com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ContainerRegistryDestination.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      outputUri_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ContainerRegistryDestination getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ContainerRegistryDestination.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ContainerRegistryDestination build() {
+      com.google.cloud.aiplatform.v1.ContainerRegistryDestination result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ContainerRegistryDestination buildPartial() {
+      com.google.cloud.aiplatform.v1.ContainerRegistryDestination result =
+          new com.google.cloud.aiplatform.v1.ContainerRegistryDestination(this);
+      result.outputUri_ = outputUri_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ContainerRegistryDestination) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ContainerRegistryDestination) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ContainerRegistryDestination other) {
+      if (other == com.google.cloud.aiplatform.v1.ContainerRegistryDestination.getDefaultInstance())
+        return this;
+      if (!other.getOutputUri().isEmpty()) {
+        outputUri_ = other.outputUri_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ContainerRegistryDestination parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ContainerRegistryDestination) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object outputUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. Container Registry URI of a container image.
+     * Only Google Container Registry and Artifact Registry are supported now.
+     * Accepted forms:
+     * *  Google Container Registry path. For example:
+     *    `gcr.io/projectId/imageName:tag`.
+     * *  Artifact Registry path. For example:
+     *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+     * If a tag is not specified, "latest" will be used as the default tag.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The outputUri.
+     */
+    public java.lang.String getOutputUri() {
+      java.lang.Object ref = outputUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        outputUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Container Registry URI of a container image.
+     * Only Google Container Registry and Artifact Registry are supported now.
+     * Accepted forms:
+     * *  Google Container Registry path. For example:
+     *    `gcr.io/projectId/imageName:tag`.
+     * *  Artifact Registry path. For example:
+     *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+     * If a tag is not specified, "latest" will be used as the default tag.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for outputUri.
+     */
+    public com.google.protobuf.ByteString getOutputUriBytes() {
+      java.lang.Object ref = outputUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        outputUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Container Registry URI of a container image.
+     * Only Google Container Registry and Artifact Registry are supported now.
+     * Accepted forms:
+     * *  Google Container Registry path. For example:
+     *    `gcr.io/projectId/imageName:tag`.
+     * *  Artifact Registry path. For example:
+     *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+     * If a tag is not specified, "latest" will be used as the default tag.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The outputUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOutputUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      outputUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Container Registry URI of a container image.
+     * Only Google Container Registry and Artifact Registry are supported now.
+     * Accepted forms:
+     * *  Google Container Registry path. For example:
+     *    `gcr.io/projectId/imageName:tag`.
+     * *  Artifact Registry path. For example:
+     *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+     * If a tag is not specified, "latest" will be used as the default tag.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOutputUri() {
+
+      outputUri_ = getDefaultInstance().getOutputUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Container Registry URI of a container image.
+     * Only Google Container Registry and Artifact Registry are supported now.
+     * Accepted forms:
+     * *  Google Container Registry path. For example:
+     *    `gcr.io/projectId/imageName:tag`.
+     * *  Artifact Registry path. For example:
+     *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+     * If a tag is not specified, "latest" will be used as the default tag.
+     * </pre>
+     *
+     * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for outputUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOutputUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      outputUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ContainerRegistryDestination)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ContainerRegistryDestination)
+  private static final com.google.cloud.aiplatform.v1.ContainerRegistryDestination DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ContainerRegistryDestination();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerRegistryDestination getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ContainerRegistryDestination> PARSER =
+      new com.google.protobuf.AbstractParser<ContainerRegistryDestination>() {
+        @java.lang.Override
+        public ContainerRegistryDestination parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ContainerRegistryDestination(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ContainerRegistryDestination> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ContainerRegistryDestination> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ContainerRegistryDestination getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerRegistryDestinationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerRegistryDestinationOrBuilder.java
new file mode 100644
index 000000000..1e2e31ded
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerRegistryDestinationOrBuilder.java
@@ -0,0 +1,64 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ContainerRegistryDestinationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ContainerRegistryDestination)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Container Registry URI of a container image.
+   * Only Google Container Registry and Artifact Registry are supported now.
+   * Accepted forms:
+   * *  Google Container Registry path. For example:
+   *    `gcr.io/projectId/imageName:tag`.
+   * *  Artifact Registry path. For example:
+   *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+   * If a tag is not specified, "latest" will be used as the default tag.
+   * </pre>
+   *
+   * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The outputUri.
+   */
+  java.lang.String getOutputUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Container Registry URI of a container image.
+   * Only Google Container Registry and Artifact Registry are supported now.
+   * Accepted forms:
+   * *  Google Container Registry path. For example:
+   *    `gcr.io/projectId/imageName:tag`.
+   * *  Artifact Registry path. For example:
+   *    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+   * If a tag is not specified, "latest" will be used as the default tag.
+   * </pre>
+   *
+   * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for outputUri.
+   */
+  com.google.protobuf.ByteString getOutputUriBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpec.java
new file mode 100644
index 000000000..205efe7b5
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpec.java
@@ -0,0 +1,1697 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * The spec of a Container.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ContainerSpec}
+ */
+public final class ContainerSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ContainerSpec)
+    ContainerSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ContainerSpec.newBuilder() to construct.
+  private ContainerSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ContainerSpec() {
+    imageUri_ = "";
+    command_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    args_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    env_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ContainerSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ContainerSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              imageUri_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                command_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              command_.add(s);
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                args_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              args_.add(s);
+              break;
+            }
+          case 34:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                env_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.EnvVar>();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              env_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EnvVar.parser(), extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        command_ = command_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        args_ = args_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        env_ = java.util.Collections.unmodifiableList(env_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_ContainerSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_ContainerSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ContainerSpec.class,
+            com.google.cloud.aiplatform.v1.ContainerSpec.Builder.class);
+  }
+
+  public static final int IMAGE_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object imageUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The URI of a container image in the Container Registry that is to be run on
+   * each worker replica.
+   * </pre>
+   *
+   * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The imageUri.
+   */
+  @java.lang.Override
+  public java.lang.String getImageUri() {
+    java.lang.Object ref = imageUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      imageUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The URI of a container image in the Container Registry that is to be run on
+   * each worker replica.
+   * </pre>
+   *
+   * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for imageUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getImageUriBytes() {
+    java.lang.Object ref = imageUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      imageUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int COMMAND_FIELD_NUMBER = 2;
+  private com.google.protobuf.LazyStringList command_;
+  /**
+   *
+   *
+   * <pre>
+   * The command to be invoked when the container is started.
+   * It overrides the entrypoint instruction in Dockerfile when provided.
+   * </pre>
+   *
+   * <code>repeated string command = 2;</code>
+   *
+   * @return A list containing the command.
+   */
+  public com.google.protobuf.ProtocolStringList getCommandList() {
+    return command_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The command to be invoked when the container is started.
+   * It overrides the entrypoint instruction in Dockerfile when provided.
+   * </pre>
+   *
+   * <code>repeated string command = 2;</code>
+   *
+   * @return The count of command.
+   */
+  public int getCommandCount() {
+    return command_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The command to be invoked when the container is started.
+   * It overrides the entrypoint instruction in Dockerfile when provided.
+   * </pre>
+   *
+   * <code>repeated string command = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The command at the given index.
+   */
+  public java.lang.String getCommand(int index) {
+    return command_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The command to be invoked when the container is started.
+   * It overrides the entrypoint instruction in Dockerfile when provided.
+   * </pre>
+   *
+   * <code>repeated string command = 2;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the command at the given index.
+   */
+  public com.google.protobuf.ByteString getCommandBytes(int index) {
+    return command_.getByteString(index);
+  }
+
+  public static final int ARGS_FIELD_NUMBER = 3;
+  private com.google.protobuf.LazyStringList args_;
+  /**
+   *
+   *
+   * <pre>
+   * The arguments to be passed when starting the container.
+   * </pre>
+   *
+   * <code>repeated string args = 3;</code>
+   *
+   * @return A list containing the args.
+   */
+  public com.google.protobuf.ProtocolStringList getArgsList() {
+    return args_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The arguments to be passed when starting the container.
+   * </pre>
+   *
+   * <code>repeated string args = 3;</code>
+   *
+   * @return The count of args.
+   */
+  public int getArgsCount() {
+    return args_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The arguments to be passed when starting the container.
+   * </pre>
+   *
+   * <code>repeated string args = 3;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The args at the given index.
+   */
+  public java.lang.String getArgs(int index) {
+    return args_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The arguments to be passed when starting the container.
+   * </pre>
+   *
+   * <code>repeated string args = 3;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the args at the given index.
+   */
+  public com.google.protobuf.ByteString getArgsBytes(int index) {
+    return args_.getByteString(index);
+  }
+
+  public static final int ENV_FIELD_NUMBER = 4;
+  private java.util.List<com.google.cloud.aiplatform.v1.EnvVar> env_;
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList() {
+    return env_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+      getEnvOrBuilderList() {
+    return env_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  @java.lang.Override
+  public int getEnvCount() {
+    return env_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EnvVar getEnv(int index) {
+    return env_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index) {
+    return env_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getImageUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, imageUri_);
+    }
+    for (int i = 0; i < command_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, command_.getRaw(i));
+    }
+    for (int i = 0; i < args_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, args_.getRaw(i));
+    }
+    for (int i = 0; i < env_.size(); i++) {
+      output.writeMessage(4, env_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getImageUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, imageUri_);
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < command_.size(); i++) {
+        dataSize += computeStringSizeNoTag(command_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getCommandList().size();
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < args_.size(); i++) {
+        dataSize += computeStringSizeNoTag(args_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getArgsList().size();
+    }
+    for (int i = 0; i < env_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, env_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ContainerSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ContainerSpec other =
+        (com.google.cloud.aiplatform.v1.ContainerSpec) obj;
+
+    if (!getImageUri().equals(other.getImageUri())) return false;
+    if (!getCommandList().equals(other.getCommandList())) return false;
+    if (!getArgsList().equals(other.getArgsList())) return false;
+    if (!getEnvList().equals(other.getEnvList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + IMAGE_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getImageUri().hashCode();
+    if (getCommandCount() > 0) {
+      hash = (37 * hash) + COMMAND_FIELD_NUMBER;
+      hash = (53 * hash) + getCommandList().hashCode();
+    }
+    if (getArgsCount() > 0) {
+      hash = (37 * hash) + ARGS_FIELD_NUMBER;
+      hash = (53 * hash) + getArgsList().hashCode();
+    }
+    if (getEnvCount() > 0) {
+      hash = (37 * hash) + ENV_FIELD_NUMBER;
+      hash = (53 * hash) + getEnvList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
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+  public Builder newBuilderForType() {
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+  public static Builder newBuilder() {
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+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ContainerSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The spec of a Container.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ContainerSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ContainerSpec)
+      com.google.cloud.aiplatform.v1.ContainerSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
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+    private Builder() {
+      maybeForceBuilderInitialization();
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+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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+    private void maybeForceBuilderInitialization() {
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+      command_ = com.google.protobuf.LazyStringArrayList.EMPTY;
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+      args_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
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+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_ContainerSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ContainerSpec getDefaultInstanceForType() {
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+    public com.google.cloud.aiplatform.v1.ContainerSpec build() {
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+      if (!result.isInitialized()) {
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+      return result;
+    }
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+    public com.google.cloud.aiplatform.v1.ContainerSpec buildPartial() {
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+      return result;
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+    @java.lang.Override
+    public Builder clone() {
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+    @java.lang.Override
+    public Builder setField(
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+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    @java.lang.Override
+    public Builder setRepeatedField(
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+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ContainerSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ContainerSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ContainerSpec other) {
+      if (other == com.google.cloud.aiplatform.v1.ContainerSpec.getDefaultInstance()) return this;
+      if (!other.getImageUri().isEmpty()) {
+        imageUri_ = other.imageUri_;
+        onChanged();
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+          bitField0_ = (bitField0_ & ~0x00000002);
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+          args_.addAll(other.args_);
+        }
+        onChanged();
+      }
+      if (envBuilder_ == null) {
+        if (!other.env_.isEmpty()) {
+          if (env_.isEmpty()) {
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+            bitField0_ = (bitField0_ & ~0x00000004);
+          } else {
+            ensureEnvIsMutable();
+            env_.addAll(other.env_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.env_.isEmpty()) {
+          if (envBuilder_.isEmpty()) {
+            envBuilder_.dispose();
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+            env_ = other.env_;
+            bitField0_ = (bitField0_ & ~0x00000004);
+            envBuilder_ =
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+            envBuilder_.addAllMessages(other.env_);
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+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ContainerSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.ContainerSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
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+          mergeFrom(parsedMessage);
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+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object imageUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that is to be run on
+     * each worker replica.
+     * </pre>
+     *
+     * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
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+        imageUri_ = s;
+        return s;
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+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that is to be run on
+     * each worker replica.
+     * </pre>
+     *
+     * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for imageUri.
+     */
+    public com.google.protobuf.ByteString getImageUriBytes() {
+      java.lang.Object ref = imageUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
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+        imageUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that is to be run on
+     * each worker replica.
+     * </pre>
+     *
+     * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The imageUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setImageUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      imageUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that is to be run on
+     * each worker replica.
+     * </pre>
+     *
+     * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearImageUri() {
+
+      imageUri_ = getDefaultInstance().getImageUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that is to be run on
+     * each worker replica.
+     * </pre>
+     *
+     * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for imageUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setImageUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      imageUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList command_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureCommandIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
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+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @return A list containing the command.
+     */
+    public com.google.protobuf.ProtocolStringList getCommandList() {
+      return command_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @return The count of command.
+     */
+    public int getCommandCount() {
+      return command_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The command at the given index.
+     */
+    public java.lang.String getCommand(int index) {
+      return command_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the command at the given index.
+     */
+    public com.google.protobuf.ByteString getCommandBytes(int index) {
+      return command_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The command to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCommand(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureCommandIsMutable();
+      command_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @param value The command to add.
+     * @return This builder for chaining.
+     */
+    public Builder addCommand(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureCommandIsMutable();
+      command_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @param values The command to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllCommand(java.lang.Iterable<java.lang.String> values) {
+      ensureCommandIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, command_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearCommand() {
+      command_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The command to be invoked when the container is started.
+     * It overrides the entrypoint instruction in Dockerfile when provided.
+     * </pre>
+     *
+     * <code>repeated string command = 2;</code>
+     *
+     * @param value The bytes of the command to add.
+     * @return This builder for chaining.
+     */
+    public Builder addCommandBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureCommandIsMutable();
+      command_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList args_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureArgsIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        args_ = new com.google.protobuf.LazyStringArrayList(args_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @return A list containing the args.
+     */
+    public com.google.protobuf.ProtocolStringList getArgsList() {
+      return args_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @return The count of args.
+     */
+    public int getArgsCount() {
+      return args_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The args at the given index.
+     */
+    public java.lang.String getArgs(int index) {
+      return args_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the args at the given index.
+     */
+    public com.google.protobuf.ByteString getArgsBytes(int index) {
+      return args_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The args to set.
+     * @return This builder for chaining.
+     */
+    public Builder setArgs(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureArgsIsMutable();
+      args_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @param value The args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addArgs(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureArgsIsMutable();
+      args_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @param values The args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllArgs(java.lang.Iterable<java.lang.String> values) {
+      ensureArgsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, args_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearArgs() {
+      args_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The arguments to be passed when starting the container.
+     * </pre>
+     *
+     * <code>repeated string args = 3;</code>
+     *
+     * @param value The bytes of the args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addArgsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureArgsIsMutable();
+      args_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.EnvVar> env_ =
+        java.util.Collections.emptyList();
+
+    private void ensureEnvIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        env_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.EnvVar>(env_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EnvVar,
+            com.google.cloud.aiplatform.v1.EnvVar.Builder,
+            com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        envBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList() {
+      if (envBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(env_);
+      } else {
+        return envBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public int getEnvCount() {
+      if (envBuilder_ == null) {
+        return env_.size();
+      } else {
+        return envBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar getEnv(int index) {
+      if (envBuilder_ == null) {
+        return env_.get(index);
+      } else {
+        return envBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder setEnv(int index, com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.set(index, value);
+        onChanged();
+      } else {
+        envBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder setEnv(
+        int index, com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder addEnv(com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.add(value);
+        onChanged();
+      } else {
+        envBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder addEnv(int index, com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.add(index, value);
+        onChanged();
+      } else {
+        envBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder addEnv(com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.add(builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder addEnv(
+        int index, com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder addAllEnv(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.EnvVar> values) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, env_);
+        onChanged();
+      } else {
+        envBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder clearEnv() {
+      if (envBuilder_ == null) {
+        env_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000004);
+        onChanged();
+      } else {
+        envBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public Builder removeEnv(int index) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.remove(index);
+        onChanged();
+      } else {
+        envBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder getEnvBuilder(int index) {
+      return getEnvFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index) {
+      if (envBuilder_ == null) {
+        return env_.get(index);
+      } else {
+        return envBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        getEnvOrBuilderList() {
+      if (envBuilder_ != null) {
+        return envBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(env_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder addEnvBuilder() {
+      return getEnvFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.EnvVar.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder addEnvBuilder(int index) {
+      return getEnvFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.EnvVar.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the container.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.EnvVar.Builder> getEnvBuilderList() {
+      return getEnvFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EnvVar,
+            com.google.cloud.aiplatform.v1.EnvVar.Builder,
+            com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        getEnvFieldBuilder() {
+      if (envBuilder_ == null) {
+        envBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EnvVar,
+                com.google.cloud.aiplatform.v1.EnvVar.Builder,
+                com.google.cloud.aiplatform.v1.EnvVarOrBuilder>(
+                env_, ((bitField0_ & 0x00000004) != 0), getParentForChildren(), isClean());
+        env_ = null;
+      }
+      return envBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ContainerSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ContainerSpec)
+  private static final com.google.cloud.aiplatform.v1.ContainerSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ContainerSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ContainerSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ContainerSpec> PARSER =
+      new com.google.protobuf.AbstractParser<ContainerSpec>() {
+        @java.lang.Override
+        public ContainerSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ContainerSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ContainerSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ContainerSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ContainerSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpecOrBuilder.java
new file mode 100644
index 000000000..4ce355e1b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ContainerSpecOrBuilder.java
@@ -0,0 +1,209 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ContainerSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ContainerSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The URI of a container image in the Container Registry that is to be run on
+   * each worker replica.
+   * </pre>
+   *
+   * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The imageUri.
+   */
+  java.lang.String getImageUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The URI of a container image in the Container Registry that is to be run on
+   * each worker replica.
+   * </pre>
+   *
+   * <code>string image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for imageUri.
+   */
+  com.google.protobuf.ByteString getImageUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The command to be invoked when the container is started.
+   * It overrides the entrypoint instruction in Dockerfile when provided.
+   * </pre>
+   *
+   * <code>repeated string command = 2;</code>
+   *
+   * @return A list containing the command.
+   */
+  java.util.List<java.lang.String> getCommandList();
+  /**
+   *
+   *
+   * <pre>
+   * The command to be invoked when the container is started.
+   * It overrides the entrypoint instruction in Dockerfile when provided.
+   * </pre>
+   *
+   * <code>repeated string command = 2;</code>
+   *
+   * @return The count of command.
+   */
+  int getCommandCount();
+  /**
+   *
+   *
+   * <pre>
+   * The command to be invoked when the container is started.
+   * It overrides the entrypoint instruction in Dockerfile when provided.
+   * </pre>
+   *
+   * <code>repeated string command = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The command at the given index.
+   */
+  java.lang.String getCommand(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The command to be invoked when the container is started.
+   * It overrides the entrypoint instruction in Dockerfile when provided.
+   * </pre>
+   *
+   * <code>repeated string command = 2;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the command at the given index.
+   */
+  com.google.protobuf.ByteString getCommandBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The arguments to be passed when starting the container.
+   * </pre>
+   *
+   * <code>repeated string args = 3;</code>
+   *
+   * @return A list containing the args.
+   */
+  java.util.List<java.lang.String> getArgsList();
+  /**
+   *
+   *
+   * <pre>
+   * The arguments to be passed when starting the container.
+   * </pre>
+   *
+   * <code>repeated string args = 3;</code>
+   *
+   * @return The count of args.
+   */
+  int getArgsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The arguments to be passed when starting the container.
+   * </pre>
+   *
+   * <code>repeated string args = 3;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The args at the given index.
+   */
+  java.lang.String getArgs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The arguments to be passed when starting the container.
+   * </pre>
+   *
+   * <code>repeated string args = 3;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the args at the given index.
+   */
+  com.google.protobuf.ByteString getArgsBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList();
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  com.google.cloud.aiplatform.v1.EnvVar getEnv(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  int getEnvCount();
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder> getEnvOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the container.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 4;</code>
+   */
+  com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequest.java
new file mode 100644
index 000000000..e6c7cd160
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequest.java
@@ -0,0 +1,972 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest}
+ */
+public final class CreateBatchPredictionJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest)
+    CreateBatchPredictionJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateBatchPredictionJobRequest.newBuilder() to construct.
+  private CreateBatchPredictionJobRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateBatchPredictionJobRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateBatchPredictionJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateBatchPredictionJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder subBuilder = null;
+              if (batchPredictionJob_ != null) {
+                subBuilder = batchPredictionJob_.toBuilder();
+              }
+              batchPredictionJob_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.BatchPredictionJob.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(batchPredictionJob_);
+                batchPredictionJob_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateBatchPredictionJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateBatchPredictionJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.class,
+            com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the BatchPredictionJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the BatchPredictionJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
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+  /**
+   *
+   *
+   * <pre>
+   * Required. The BatchPredictionJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the batchPredictionJob field is set.
+   */
+  @java.lang.Override
+  public boolean hasBatchPredictionJob() {
+    return batchPredictionJob_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The BatchPredictionJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The batchPredictionJob.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJob getBatchPredictionJob() {
+    return batchPredictionJob_ == null
+        ? com.google.cloud.aiplatform.v1.BatchPredictionJob.getDefaultInstance()
+        : batchPredictionJob_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The BatchPredictionJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder
+      getBatchPredictionJobOrBuilder() {
+    return getBatchPredictionJob();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (batchPredictionJob_ != null) {
+      output.writeMessage(2, getBatchPredictionJob());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (batchPredictionJob_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getBatchPredictionJob());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest other =
+        (com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasBatchPredictionJob() != other.hasBatchPredictionJob()) return false;
+    if (hasBatchPredictionJob()) {
+      if (!getBatchPredictionJob().equals(other.getBatchPredictionJob())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasBatchPredictionJob()) {
+      hash = (37 * hash) + BATCH_PREDICTION_JOB_FIELD_NUMBER;
+      hash = (53 * hash) + getBatchPredictionJob().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest)
+      com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateBatchPredictionJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateBatchPredictionJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.class,
+              com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (batchPredictionJobBuilder_ == null) {
+        batchPredictionJob_ = null;
+      } else {
+        batchPredictionJob_ = null;
+        batchPredictionJobBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateBatchPredictionJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest build() {
+      com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest result =
+          new com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest(this);
+      result.parent_ = parent_;
+      if (batchPredictionJobBuilder_ == null) {
+        result.batchPredictionJob_ = batchPredictionJob_;
+      } else {
+        result.batchPredictionJob_ = batchPredictionJobBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasBatchPredictionJob()) {
+        mergeBatchPredictionJob(other.getBatchPredictionJob());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the BatchPredictionJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the BatchPredictionJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the BatchPredictionJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the BatchPredictionJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the BatchPredictionJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.BatchPredictionJob batchPredictionJob_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>
+        batchPredictionJobBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the batchPredictionJob field is set.
+     */
+    public boolean hasBatchPredictionJob() {
+      return batchPredictionJobBuilder_ != null || batchPredictionJob_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The batchPredictionJob.
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob getBatchPredictionJob() {
+      if (batchPredictionJobBuilder_ == null) {
+        return batchPredictionJob_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.getDefaultInstance()
+            : batchPredictionJob_;
+      } else {
+        return batchPredictionJobBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setBatchPredictionJob(com.google.cloud.aiplatform.v1.BatchPredictionJob value) {
+      if (batchPredictionJobBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        batchPredictionJob_ = value;
+        onChanged();
+      } else {
+        batchPredictionJobBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder builderForValue) {
+      if (batchPredictionJobBuilder_ == null) {
+        batchPredictionJob_ = builderForValue.build();
+        onChanged();
+      } else {
+        batchPredictionJobBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeBatchPredictionJob(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob value) {
+      if (batchPredictionJobBuilder_ == null) {
+        if (batchPredictionJob_ != null) {
+          batchPredictionJob_ =
+              com.google.cloud.aiplatform.v1.BatchPredictionJob.newBuilder(batchPredictionJob_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          batchPredictionJob_ = value;
+        }
+        onChanged();
+      } else {
+        batchPredictionJobBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearBatchPredictionJob() {
+      if (batchPredictionJobBuilder_ == null) {
+        batchPredictionJob_ = null;
+        onChanged();
+      } else {
+        batchPredictionJob_ = null;
+        batchPredictionJobBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder
+        getBatchPredictionJobBuilder() {
+
+      onChanged();
+      return getBatchPredictionJobFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder
+        getBatchPredictionJobOrBuilder() {
+      if (batchPredictionJobBuilder_ != null) {
+        return batchPredictionJobBuilder_.getMessageOrBuilder();
+      } else {
+        return batchPredictionJob_ == null
+            ? com.google.cloud.aiplatform.v1.BatchPredictionJob.getDefaultInstance()
+            : batchPredictionJob_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The BatchPredictionJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>
+        getBatchPredictionJobFieldBuilder() {
+      if (batchPredictionJobBuilder_ == null) {
+        batchPredictionJobBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BatchPredictionJob,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder,
+                com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>(
+                getBatchPredictionJob(), getParentForChildren(), isClean());
+        batchPredictionJob_ = null;
+      }
+      return batchPredictionJobBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest)
+  private static final com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateBatchPredictionJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CreateBatchPredictionJobRequest>() {
+        @java.lang.Override
+        public CreateBatchPredictionJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateBatchPredictionJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateBatchPredictionJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateBatchPredictionJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequestOrBuilder.java
new file mode 100644
index 000000000..736503f0c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateBatchPredictionJobRequestOrBuilder.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateBatchPredictionJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the BatchPredictionJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the BatchPredictionJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The BatchPredictionJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the batchPredictionJob field is set.
+   */
+  boolean hasBatchPredictionJob();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The BatchPredictionJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The batchPredictionJob.
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob getBatchPredictionJob();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The BatchPredictionJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder getBatchPredictionJobOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequest.java
new file mode 100644
index 000000000..912dfd170
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequest.java
@@ -0,0 +1,959 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateCustomJobRequest}
+ */
+public final class CreateCustomJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateCustomJobRequest)
+    CreateCustomJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateCustomJobRequest.newBuilder() to construct.
+  private CreateCustomJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateCustomJobRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateCustomJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateCustomJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.CustomJob.Builder subBuilder = null;
+              if (customJob_ != null) {
+                subBuilder = customJob_.toBuilder();
+              }
+              customJob_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.CustomJob.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(customJob_);
+                customJob_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateCustomJobRequest.class,
+            com.google.cloud.aiplatform.v1.CreateCustomJobRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the CustomJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the CustomJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int CUSTOM_JOB_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.CustomJob customJob_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The CustomJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the customJob field is set.
+   */
+  @java.lang.Override
+  public boolean hasCustomJob() {
+    return customJob_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The CustomJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The customJob.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJob getCustomJob() {
+    return customJob_ == null
+        ? com.google.cloud.aiplatform.v1.CustomJob.getDefaultInstance()
+        : customJob_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The CustomJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJobOrBuilder getCustomJobOrBuilder() {
+    return getCustomJob();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (customJob_ != null) {
+      output.writeMessage(2, getCustomJob());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (customJob_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getCustomJob());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateCustomJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateCustomJobRequest other =
+        (com.google.cloud.aiplatform.v1.CreateCustomJobRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasCustomJob() != other.hasCustomJob()) return false;
+    if (hasCustomJob()) {
+      if (!getCustomJob().equals(other.getCustomJob())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasCustomJob()) {
+      hash = (37 * hash) + CUSTOM_JOB_FIELD_NUMBER;
+      hash = (53 * hash) + getCustomJob().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateCustomJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateCustomJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateCustomJobRequest)
+      com.google.cloud.aiplatform.v1.CreateCustomJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateCustomJobRequest.class,
+              com.google.cloud.aiplatform.v1.CreateCustomJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateCustomJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (customJobBuilder_ == null) {
+        customJob_ = null;
+      } else {
+        customJob_ = null;
+        customJobBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateCustomJobRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateCustomJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateCustomJobRequest build() {
+      com.google.cloud.aiplatform.v1.CreateCustomJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateCustomJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateCustomJobRequest result =
+          new com.google.cloud.aiplatform.v1.CreateCustomJobRequest(this);
+      result.parent_ = parent_;
+      if (customJobBuilder_ == null) {
+        result.customJob_ = customJob_;
+      } else {
+        result.customJob_ = customJobBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateCustomJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateCustomJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateCustomJobRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.CreateCustomJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasCustomJob()) {
+        mergeCustomJob(other.getCustomJob());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateCustomJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateCustomJobRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the CustomJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the CustomJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the CustomJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the CustomJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the CustomJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.CustomJob customJob_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CustomJob,
+            com.google.cloud.aiplatform.v1.CustomJob.Builder,
+            com.google.cloud.aiplatform.v1.CustomJobOrBuilder>
+        customJobBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the customJob field is set.
+     */
+    public boolean hasCustomJob() {
+      return customJobBuilder_ != null || customJob_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The customJob.
+     */
+    public com.google.cloud.aiplatform.v1.CustomJob getCustomJob() {
+      if (customJobBuilder_ == null) {
+        return customJob_ == null
+            ? com.google.cloud.aiplatform.v1.CustomJob.getDefaultInstance()
+            : customJob_;
+      } else {
+        return customJobBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setCustomJob(com.google.cloud.aiplatform.v1.CustomJob value) {
+      if (customJobBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        customJob_ = value;
+        onChanged();
+      } else {
+        customJobBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setCustomJob(com.google.cloud.aiplatform.v1.CustomJob.Builder builderForValue) {
+      if (customJobBuilder_ == null) {
+        customJob_ = builderForValue.build();
+        onChanged();
+      } else {
+        customJobBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeCustomJob(com.google.cloud.aiplatform.v1.CustomJob value) {
+      if (customJobBuilder_ == null) {
+        if (customJob_ != null) {
+          customJob_ =
+              com.google.cloud.aiplatform.v1.CustomJob.newBuilder(customJob_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          customJob_ = value;
+        }
+        onChanged();
+      } else {
+        customJobBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearCustomJob() {
+      if (customJobBuilder_ == null) {
+        customJob_ = null;
+        onChanged();
+      } else {
+        customJob_ = null;
+        customJobBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJob.Builder getCustomJobBuilder() {
+
+      onChanged();
+      return getCustomJobFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJobOrBuilder getCustomJobOrBuilder() {
+      if (customJobBuilder_ != null) {
+        return customJobBuilder_.getMessageOrBuilder();
+      } else {
+        return customJob_ == null
+            ? com.google.cloud.aiplatform.v1.CustomJob.getDefaultInstance()
+            : customJob_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The CustomJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CustomJob,
+            com.google.cloud.aiplatform.v1.CustomJob.Builder,
+            com.google.cloud.aiplatform.v1.CustomJobOrBuilder>
+        getCustomJobFieldBuilder() {
+      if (customJobBuilder_ == null) {
+        customJobBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.CustomJob,
+                com.google.cloud.aiplatform.v1.CustomJob.Builder,
+                com.google.cloud.aiplatform.v1.CustomJobOrBuilder>(
+                getCustomJob(), getParentForChildren(), isClean());
+        customJob_ = null;
+      }
+      return customJobBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateCustomJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateCustomJobRequest)
+  private static final com.google.cloud.aiplatform.v1.CreateCustomJobRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateCustomJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateCustomJobRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateCustomJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CreateCustomJobRequest>() {
+        @java.lang.Override
+        public CreateCustomJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateCustomJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateCustomJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateCustomJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateCustomJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequestOrBuilder.java
new file mode 100644
index 000000000..83902011b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateCustomJobRequestOrBuilder.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateCustomJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateCustomJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the CustomJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the CustomJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The CustomJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the customJob field is set.
+   */
+  boolean hasCustomJob();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The CustomJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The customJob.
+   */
+  com.google.cloud.aiplatform.v1.CustomJob getCustomJob();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The CustomJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJob custom_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.CustomJobOrBuilder getCustomJobOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequest.java
new file mode 100644
index 000000000..65ed7b4fa
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequest.java
@@ -0,0 +1,960 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DataLabelingJobService.CreateDataLabelingJob][].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateDataLabelingJobRequest}
+ */
+public final class CreateDataLabelingJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateDataLabelingJobRequest)
+    CreateDataLabelingJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateDataLabelingJobRequest.newBuilder() to construct.
+  private CreateDataLabelingJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateDataLabelingJobRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateDataLabelingJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateDataLabelingJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.DataLabelingJob.Builder subBuilder = null;
+              if (dataLabelingJob_ != null) {
+                subBuilder = dataLabelingJob_.toBuilder();
+              }
+              dataLabelingJob_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.DataLabelingJob.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(dataLabelingJob_);
+                dataLabelingJob_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
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+
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+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent of the DataLabelingJob.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent of the DataLabelingJob.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+  /**
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+   *
+   * <pre>
+   * Required. The DataLabelingJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
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+  /**
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+   *
+   * <pre>
+   * Required. The DataLabelingJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The dataLabelingJob.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DataLabelingJob getDataLabelingJob() {
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+        : dataLabelingJob_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DataLabelingJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder getDataLabelingJobOrBuilder() {
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+  }
+
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+    }
+    if (dataLabelingJob_ != null) {
+      output.writeMessage(2, getDataLabelingJob());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
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+    if (size != -1) return size;
+
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+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest other =
+        (com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasDataLabelingJob() != other.hasDataLabelingJob()) return false;
+    if (hasDataLabelingJob()) {
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+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasDataLabelingJob()) {
+      hash = (37 * hash) + DATA_LABELING_JOB_FIELD_NUMBER;
+      hash = (53 * hash) + getDataLabelingJob().hashCode();
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+    memoizedHashCode = hash;
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+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
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+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
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+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseFrom(byte[] data)
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+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
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+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseFrom(
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+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseFrom(
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+
+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
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+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
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+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [DataLabelingJobService.CreateDataLabelingJob][].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateDataLabelingJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateDataLabelingJobRequest)
+      com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateDataLabelingJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
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+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest.class,
+              com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
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+    @java.lang.Override
+    public Builder clear() {
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+      parent_ = "";
+
+      if (dataLabelingJobBuilder_ == null) {
+        dataLabelingJob_ = null;
+      } else {
+        dataLabelingJob_ = null;
+        dataLabelingJobBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateDataLabelingJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest build() {
+      com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest result =
+          new com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest(this);
+      result.parent_ = parent_;
+      if (dataLabelingJobBuilder_ == null) {
+        result.dataLabelingJob_ = dataLabelingJob_;
+      } else {
+        result.dataLabelingJob_ = dataLabelingJobBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
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+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
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+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasDataLabelingJob()) {
+        mergeDataLabelingJob(other.getDataLabelingJob());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.DataLabelingJob dataLabelingJob_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DataLabelingJob,
+            com.google.cloud.aiplatform.v1.DataLabelingJob.Builder,
+            com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>
+        dataLabelingJobBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the dataLabelingJob field is set.
+     */
+    public boolean hasDataLabelingJob() {
+      return dataLabelingJobBuilder_ != null || dataLabelingJob_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The dataLabelingJob.
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJob getDataLabelingJob() {
+      if (dataLabelingJobBuilder_ == null) {
+        return dataLabelingJob_ == null
+            ? com.google.cloud.aiplatform.v1.DataLabelingJob.getDefaultInstance()
+            : dataLabelingJob_;
+      } else {
+        return dataLabelingJobBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setDataLabelingJob(com.google.cloud.aiplatform.v1.DataLabelingJob value) {
+      if (dataLabelingJobBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        dataLabelingJob_ = value;
+        onChanged();
+      } else {
+        dataLabelingJobBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setDataLabelingJob(
+        com.google.cloud.aiplatform.v1.DataLabelingJob.Builder builderForValue) {
+      if (dataLabelingJobBuilder_ == null) {
+        dataLabelingJob_ = builderForValue.build();
+        onChanged();
+      } else {
+        dataLabelingJobBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeDataLabelingJob(com.google.cloud.aiplatform.v1.DataLabelingJob value) {
+      if (dataLabelingJobBuilder_ == null) {
+        if (dataLabelingJob_ != null) {
+          dataLabelingJob_ =
+              com.google.cloud.aiplatform.v1.DataLabelingJob.newBuilder(dataLabelingJob_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          dataLabelingJob_ = value;
+        }
+        onChanged();
+      } else {
+        dataLabelingJobBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearDataLabelingJob() {
+      if (dataLabelingJobBuilder_ == null) {
+        dataLabelingJob_ = null;
+        onChanged();
+      } else {
+        dataLabelingJob_ = null;
+        dataLabelingJobBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJob.Builder getDataLabelingJobBuilder() {
+
+      onChanged();
+      return getDataLabelingJobFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder getDataLabelingJobOrBuilder() {
+      if (dataLabelingJobBuilder_ != null) {
+        return dataLabelingJobBuilder_.getMessageOrBuilder();
+      } else {
+        return dataLabelingJob_ == null
+            ? com.google.cloud.aiplatform.v1.DataLabelingJob.getDefaultInstance()
+            : dataLabelingJob_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DataLabelingJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DataLabelingJob,
+            com.google.cloud.aiplatform.v1.DataLabelingJob.Builder,
+            com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>
+        getDataLabelingJobFieldBuilder() {
+      if (dataLabelingJobBuilder_ == null) {
+        dataLabelingJobBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DataLabelingJob,
+                com.google.cloud.aiplatform.v1.DataLabelingJob.Builder,
+                com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>(
+                getDataLabelingJob(), getParentForChildren(), isClean());
+        dataLabelingJob_ = null;
+      }
+      return dataLabelingJobBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateDataLabelingJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateDataLabelingJobRequest)
+  private static final com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateDataLabelingJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CreateDataLabelingJobRequest>() {
+        @java.lang.Override
+        public CreateDataLabelingJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateDataLabelingJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateDataLabelingJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateDataLabelingJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequestOrBuilder.java
new file mode 100644
index 000000000..38495929a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDataLabelingJobRequestOrBuilder.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateDataLabelingJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateDataLabelingJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent of the DataLabelingJob.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent of the DataLabelingJob.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DataLabelingJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the dataLabelingJob field is set.
+   */
+  boolean hasDataLabelingJob();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DataLabelingJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The dataLabelingJob.
+   */
+  com.google.cloud.aiplatform.v1.DataLabelingJob getDataLabelingJob();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DataLabelingJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder getDataLabelingJobOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadata.java
new file mode 100644
index 000000000..a35142f1b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadata.java
@@ -0,0 +1,746 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateDatasetOperationMetadata}
+ */
+public final class CreateDatasetOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)
+    CreateDatasetOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateDatasetOperationMetadata.newBuilder() to construct.
+  private CreateDatasetOperationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateDatasetOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateDatasetOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateDatasetOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateDatasetOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateDatasetOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateDatasetOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)
+      com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateDatasetOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateDatasetOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateDatasetOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateDatasetOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<CreateDatasetOperationMetadata>() {
+        @java.lang.Override
+        public CreateDatasetOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateDatasetOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateDatasetOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateDatasetOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..502366c16
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetOperationMetadataOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateDatasetOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequest.java
new file mode 100644
index 000000000..a9b5c2d8f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequest.java
@@ -0,0 +1,958 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateDatasetRequest}
+ */
+public final class CreateDatasetRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateDatasetRequest)
+    CreateDatasetRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateDatasetRequest.newBuilder() to construct.
+  private CreateDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateDatasetRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateDatasetRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateDatasetRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.Dataset.Builder subBuilder = null;
+              if (dataset_ != null) {
+                subBuilder = dataset_.toBuilder();
+              }
+              dataset_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Dataset.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(dataset_);
+                dataset_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateDatasetRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateDatasetRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateDatasetRequest.class,
+            com.google.cloud.aiplatform.v1.CreateDatasetRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the Dataset in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the Dataset in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DATASET_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.Dataset dataset_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the dataset field is set.
+   */
+  @java.lang.Override
+  public boolean hasDataset() {
+    return dataset_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The dataset.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Dataset getDataset() {
+    return dataset_ == null
+        ? com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance()
+        : dataset_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetOrBuilder() {
+    return getDataset();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (dataset_ != null) {
+      output.writeMessage(2, getDataset());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (dataset_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getDataset());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateDatasetRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateDatasetRequest other =
+        (com.google.cloud.aiplatform.v1.CreateDatasetRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasDataset() != other.hasDataset()) return false;
+    if (hasDataset()) {
+      if (!getDataset().equals(other.getDataset())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasDataset()) {
+      hash = (37 * hash) + DATASET_FIELD_NUMBER;
+      hash = (53 * hash) + getDataset().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.CreateDatasetRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateDatasetRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateDatasetRequest)
+      com.google.cloud.aiplatform.v1.CreateDatasetRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateDatasetRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateDatasetRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateDatasetRequest.class,
+              com.google.cloud.aiplatform.v1.CreateDatasetRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateDatasetRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (datasetBuilder_ == null) {
+        dataset_ = null;
+      } else {
+        dataset_ = null;
+        datasetBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateDatasetRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDatasetRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateDatasetRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDatasetRequest build() {
+      com.google.cloud.aiplatform.v1.CreateDatasetRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateDatasetRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateDatasetRequest result =
+          new com.google.cloud.aiplatform.v1.CreateDatasetRequest(this);
+      result.parent_ = parent_;
+      if (datasetBuilder_ == null) {
+        result.dataset_ = dataset_;
+      } else {
+        result.dataset_ = datasetBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateDatasetRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateDatasetRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateDatasetRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.CreateDatasetRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasDataset()) {
+        mergeDataset(other.getDataset());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateDatasetRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateDatasetRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Dataset in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Dataset in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Dataset in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Dataset in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Dataset in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.Dataset dataset_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Dataset,
+            com.google.cloud.aiplatform.v1.Dataset.Builder,
+            com.google.cloud.aiplatform.v1.DatasetOrBuilder>
+        datasetBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the dataset field is set.
+     */
+    public boolean hasDataset() {
+      return datasetBuilder_ != null || dataset_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The dataset.
+     */
+    public com.google.cloud.aiplatform.v1.Dataset getDataset() {
+      if (datasetBuilder_ == null) {
+        return dataset_ == null
+            ? com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance()
+            : dataset_;
+      } else {
+        return datasetBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setDataset(com.google.cloud.aiplatform.v1.Dataset value) {
+      if (datasetBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        dataset_ = value;
+        onChanged();
+      } else {
+        datasetBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setDataset(com.google.cloud.aiplatform.v1.Dataset.Builder builderForValue) {
+      if (datasetBuilder_ == null) {
+        dataset_ = builderForValue.build();
+        onChanged();
+      } else {
+        datasetBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeDataset(com.google.cloud.aiplatform.v1.Dataset value) {
+      if (datasetBuilder_ == null) {
+        if (dataset_ != null) {
+          dataset_ =
+              com.google.cloud.aiplatform.v1.Dataset.newBuilder(dataset_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          dataset_ = value;
+        }
+        onChanged();
+      } else {
+        datasetBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearDataset() {
+      if (datasetBuilder_ == null) {
+        dataset_ = null;
+        onChanged();
+      } else {
+        dataset_ = null;
+        datasetBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Dataset.Builder getDatasetBuilder() {
+
+      onChanged();
+      return getDatasetFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetOrBuilder() {
+      if (datasetBuilder_ != null) {
+        return datasetBuilder_.getMessageOrBuilder();
+      } else {
+        return dataset_ == null
+            ? com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance()
+            : dataset_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Dataset,
+            com.google.cloud.aiplatform.v1.Dataset.Builder,
+            com.google.cloud.aiplatform.v1.DatasetOrBuilder>
+        getDatasetFieldBuilder() {
+      if (datasetBuilder_ == null) {
+        datasetBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Dataset,
+                com.google.cloud.aiplatform.v1.Dataset.Builder,
+                com.google.cloud.aiplatform.v1.DatasetOrBuilder>(
+                getDataset(), getParentForChildren(), isClean());
+        dataset_ = null;
+      }
+      return datasetBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateDatasetRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateDatasetRequest)
+  private static final com.google.cloud.aiplatform.v1.CreateDatasetRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateDatasetRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateDatasetRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateDatasetRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CreateDatasetRequest>() {
+        @java.lang.Override
+        public CreateDatasetRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateDatasetRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateDatasetRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateDatasetRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateDatasetRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequestOrBuilder.java
new file mode 100644
index 000000000..ef7f3e9b9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateDatasetRequestOrBuilder.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateDatasetRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateDatasetRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the Dataset in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the Dataset in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the dataset field is set.
+   */
+  boolean hasDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The dataset.
+   */
+  com.google.cloud.aiplatform.v1.Dataset getDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadata.java
new file mode 100644
index 000000000..902d38e20
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadata.java
@@ -0,0 +1,748 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateEndpointOperationMetadata}
+ */
+public final class CreateEndpointOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateEndpointOperationMetadata)
+    CreateEndpointOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateEndpointOperationMetadata.newBuilder() to construct.
+  private CreateEndpointOperationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateEndpointOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateEndpointOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateEndpointOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateEndpointOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateEndpointOperationMetadata)
+      com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateEndpointOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateEndpointOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateEndpointOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<CreateEndpointOperationMetadata>() {
+        @java.lang.Override
+        public CreateEndpointOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateEndpointOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateEndpointOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateEndpointOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..00d17e795
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointOperationMetadataOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateEndpointOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateEndpointOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequest.java
new file mode 100644
index 000000000..06ee83db2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequest.java
@@ -0,0 +1,958 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateEndpointRequest}
+ */
+public final class CreateEndpointRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateEndpointRequest)
+    CreateEndpointRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateEndpointRequest.newBuilder() to construct.
+  private CreateEndpointRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateEndpointRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateEndpointRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateEndpointRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.Endpoint.Builder subBuilder = null;
+              if (endpoint_ != null) {
+                subBuilder = endpoint_.toBuilder();
+              }
+              endpoint_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Endpoint.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(endpoint_);
+                endpoint_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateEndpointRequest.class,
+            com.google.cloud.aiplatform.v1.CreateEndpointRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the Endpoint in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the Endpoint in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int ENDPOINT_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.Endpoint endpoint_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the endpoint field is set.
+   */
+  @java.lang.Override
+  public boolean hasEndpoint() {
+    return endpoint_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Endpoint getEndpoint() {
+    return endpoint_ == null
+        ? com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()
+        : endpoint_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointOrBuilder() {
+    return getEndpoint();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (endpoint_ != null) {
+      output.writeMessage(2, getEndpoint());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (endpoint_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getEndpoint());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateEndpointRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateEndpointRequest other =
+        (com.google.cloud.aiplatform.v1.CreateEndpointRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasEndpoint() != other.hasEndpoint()) return false;
+    if (hasEndpoint()) {
+      if (!getEndpoint().equals(other.getEndpoint())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasEndpoint()) {
+      hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
+      hash = (53 * hash) + getEndpoint().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.CreateEndpointRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateEndpointRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateEndpointRequest)
+      com.google.cloud.aiplatform.v1.CreateEndpointRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateEndpointRequest.class,
+              com.google.cloud.aiplatform.v1.CreateEndpointRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateEndpointRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (endpointBuilder_ == null) {
+        endpoint_ = null;
+      } else {
+        endpoint_ = null;
+        endpointBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateEndpointRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateEndpointRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateEndpointRequest build() {
+      com.google.cloud.aiplatform.v1.CreateEndpointRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateEndpointRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateEndpointRequest result =
+          new com.google.cloud.aiplatform.v1.CreateEndpointRequest(this);
+      result.parent_ = parent_;
+      if (endpointBuilder_ == null) {
+        result.endpoint_ = endpoint_;
+      } else {
+        result.endpoint_ = endpointBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateEndpointRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateEndpointRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateEndpointRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.CreateEndpointRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasEndpoint()) {
+        mergeEndpoint(other.getEndpoint());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateEndpointRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateEndpointRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Endpoint in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Endpoint in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Endpoint in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Endpoint in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the Endpoint in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.Endpoint endpoint_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Endpoint,
+            com.google.cloud.aiplatform.v1.Endpoint.Builder,
+            com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+        endpointBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the endpoint field is set.
+     */
+    public boolean hasEndpoint() {
+      return endpointBuilder_ != null || endpoint_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The endpoint.
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint getEndpoint() {
+      if (endpointBuilder_ == null) {
+        return endpoint_ == null
+            ? com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()
+            : endpoint_;
+      } else {
+        return endpointBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setEndpoint(com.google.cloud.aiplatform.v1.Endpoint value) {
+      if (endpointBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        endpoint_ = value;
+        onChanged();
+      } else {
+        endpointBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setEndpoint(com.google.cloud.aiplatform.v1.Endpoint.Builder builderForValue) {
+      if (endpointBuilder_ == null) {
+        endpoint_ = builderForValue.build();
+        onChanged();
+      } else {
+        endpointBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeEndpoint(com.google.cloud.aiplatform.v1.Endpoint value) {
+      if (endpointBuilder_ == null) {
+        if (endpoint_ != null) {
+          endpoint_ =
+              com.google.cloud.aiplatform.v1.Endpoint.newBuilder(endpoint_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          endpoint_ = value;
+        }
+        onChanged();
+      } else {
+        endpointBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearEndpoint() {
+      if (endpointBuilder_ == null) {
+        endpoint_ = null;
+        onChanged();
+      } else {
+        endpoint_ = null;
+        endpointBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint.Builder getEndpointBuilder() {
+
+      onChanged();
+      return getEndpointFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointOrBuilder() {
+      if (endpointBuilder_ != null) {
+        return endpointBuilder_.getMessageOrBuilder();
+      } else {
+        return endpoint_ == null
+            ? com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()
+            : endpoint_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Endpoint,
+            com.google.cloud.aiplatform.v1.Endpoint.Builder,
+            com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+        getEndpointFieldBuilder() {
+      if (endpointBuilder_ == null) {
+        endpointBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Endpoint,
+                com.google.cloud.aiplatform.v1.Endpoint.Builder,
+                com.google.cloud.aiplatform.v1.EndpointOrBuilder>(
+                getEndpoint(), getParentForChildren(), isClean());
+        endpoint_ = null;
+      }
+      return endpointBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateEndpointRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateEndpointRequest)
+  private static final com.google.cloud.aiplatform.v1.CreateEndpointRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateEndpointRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateEndpointRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateEndpointRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CreateEndpointRequest>() {
+        @java.lang.Override
+        public CreateEndpointRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateEndpointRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateEndpointRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateEndpointRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateEndpointRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequestOrBuilder.java
new file mode 100644
index 000000000..04f234a9b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateEndpointRequestOrBuilder.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateEndpointRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateEndpointRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the Endpoint in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the Endpoint in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the endpoint field is set.
+   */
+  boolean hasEndpoint();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  com.google.cloud.aiplatform.v1.Endpoint getEndpoint();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequest.java
new file mode 100644
index 000000000..ff233daf2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequest.java
@@ -0,0 +1,981 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest}
+ */
+public final class CreateHyperparameterTuningJobRequest
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest)
+    CreateHyperparameterTuningJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateHyperparameterTuningJobRequest.newBuilder() to construct.
+  private CreateHyperparameterTuningJobRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateHyperparameterTuningJobRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateHyperparameterTuningJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateHyperparameterTuningJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder subBuilder = null;
+              if (hyperparameterTuningJob_ != null) {
+                subBuilder = hyperparameterTuningJob_.toBuilder();
+              }
+              hyperparameterTuningJob_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.HyperparameterTuningJob.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(hyperparameterTuningJob_);
+                hyperparameterTuningJob_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateHyperparameterTuningJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateHyperparameterTuningJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest.class,
+            com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int HYPERPARAMETER_TUNING_JOB_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameterTuningJob_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The HyperparameterTuningJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the hyperparameterTuningJob field is set.
+   */
+  @java.lang.Override
+  public boolean hasHyperparameterTuningJob() {
+    return hyperparameterTuningJob_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The HyperparameterTuningJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The hyperparameterTuningJob.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterTuningJob() {
+    return hyperparameterTuningJob_ == null
+        ? com.google.cloud.aiplatform.v1.HyperparameterTuningJob.getDefaultInstance()
+        : hyperparameterTuningJob_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The HyperparameterTuningJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder
+      getHyperparameterTuningJobOrBuilder() {
+    return getHyperparameterTuningJob();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (hyperparameterTuningJob_ != null) {
+      output.writeMessage(2, getHyperparameterTuningJob());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (hyperparameterTuningJob_ != null) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(2, getHyperparameterTuningJob());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest other =
+        (com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasHyperparameterTuningJob() != other.hasHyperparameterTuningJob()) return false;
+    if (hasHyperparameterTuningJob()) {
+      if (!getHyperparameterTuningJob().equals(other.getHyperparameterTuningJob())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasHyperparameterTuningJob()) {
+      hash = (37 * hash) + HYPERPARAMETER_TUNING_JOB_FIELD_NUMBER;
+      hash = (53 * hash) + getHyperparameterTuningJob().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest)
+      com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateHyperparameterTuningJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateHyperparameterTuningJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest.class,
+              com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (hyperparameterTuningJobBuilder_ == null) {
+        hyperparameterTuningJob_ = null;
+      } else {
+        hyperparameterTuningJob_ = null;
+        hyperparameterTuningJobBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateHyperparameterTuningJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest build() {
+      com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest result =
+          new com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest(this);
+      result.parent_ = parent_;
+      if (hyperparameterTuningJobBuilder_ == null) {
+        result.hyperparameterTuningJob_ = hyperparameterTuningJob_;
+      } else {
+        result.hyperparameterTuningJob_ = hyperparameterTuningJobBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+              .getDefaultInstance()) return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasHyperparameterTuningJob()) {
+        mergeHyperparameterTuningJob(other.getHyperparameterTuningJob());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameterTuningJob_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>
+        hyperparameterTuningJobBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the hyperparameterTuningJob field is set.
+     */
+    public boolean hasHyperparameterTuningJob() {
+      return hyperparameterTuningJobBuilder_ != null || hyperparameterTuningJob_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The hyperparameterTuningJob.
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterTuningJob() {
+      if (hyperparameterTuningJobBuilder_ == null) {
+        return hyperparameterTuningJob_ == null
+            ? com.google.cloud.aiplatform.v1.HyperparameterTuningJob.getDefaultInstance()
+            : hyperparameterTuningJob_;
+      } else {
+        return hyperparameterTuningJobBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.HyperparameterTuningJob value) {
+      if (hyperparameterTuningJobBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        hyperparameterTuningJob_ = value;
+        onChanged();
+      } else {
+        hyperparameterTuningJobBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder builderForValue) {
+      if (hyperparameterTuningJobBuilder_ == null) {
+        hyperparameterTuningJob_ = builderForValue.build();
+        onChanged();
+      } else {
+        hyperparameterTuningJobBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeHyperparameterTuningJob(
+        com.google.cloud.aiplatform.v1.HyperparameterTuningJob value) {
+      if (hyperparameterTuningJobBuilder_ == null) {
+        if (hyperparameterTuningJob_ != null) {
+          hyperparameterTuningJob_ =
+              com.google.cloud.aiplatform.v1.HyperparameterTuningJob.newBuilder(
+                      hyperparameterTuningJob_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          hyperparameterTuningJob_ = value;
+        }
+        onChanged();
+      } else {
+        hyperparameterTuningJobBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearHyperparameterTuningJob() {
+      if (hyperparameterTuningJobBuilder_ == null) {
+        hyperparameterTuningJob_ = null;
+        onChanged();
+      } else {
+        hyperparameterTuningJob_ = null;
+        hyperparameterTuningJobBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder
+        getHyperparameterTuningJobBuilder() {
+
+      onChanged();
+      return getHyperparameterTuningJobFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder
+        getHyperparameterTuningJobOrBuilder() {
+      if (hyperparameterTuningJobBuilder_ != null) {
+        return hyperparameterTuningJobBuilder_.getMessageOrBuilder();
+      } else {
+        return hyperparameterTuningJob_ == null
+            ? com.google.cloud.aiplatform.v1.HyperparameterTuningJob.getDefaultInstance()
+            : hyperparameterTuningJob_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The HyperparameterTuningJob to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>
+        getHyperparameterTuningJobFieldBuilder() {
+      if (hyperparameterTuningJobBuilder_ == null) {
+        hyperparameterTuningJobBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.HyperparameterTuningJob,
+                com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder,
+                com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>(
+                getHyperparameterTuningJob(), getParentForChildren(), isClean());
+        hyperparameterTuningJob_ = null;
+      }
+      return hyperparameterTuningJobBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest)
+  private static final com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateHyperparameterTuningJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CreateHyperparameterTuningJobRequest>() {
+        @java.lang.Override
+        public CreateHyperparameterTuningJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateHyperparameterTuningJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateHyperparameterTuningJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateHyperparameterTuningJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequestOrBuilder.java
new file mode 100644
index 000000000..2185a863a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateHyperparameterTuningJobRequestOrBuilder.java
@@ -0,0 +1,98 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateHyperparameterTuningJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the HyperparameterTuningJob in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The HyperparameterTuningJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the hyperparameterTuningJob field is set.
+   */
+  boolean hasHyperparameterTuningJob();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The HyperparameterTuningJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The hyperparameterTuningJob.
+   */
+  com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterTuningJob();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The HyperparameterTuningJob to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_job = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder
+      getHyperparameterTuningJobOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolOperationMetadata.java
new file mode 100644
index 000000000..f7ff501b6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolOperationMetadata.java
@@ -0,0 +1,756 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation information for
+ * [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata}
+ */
+public final class CreateSpecialistPoolOperationMetadata
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata)
+    CreateSpecialistPoolOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateSpecialistPoolOperationMetadata.newBuilder() to construct.
+  private CreateSpecialistPoolOperationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateSpecialistPoolOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateSpecialistPoolOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateSpecialistPoolOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation information for
+   * [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata)
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata result =
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+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
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+    public Builder addRepeatedField(
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata
+              .getDefaultInstance()) return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateSpecialistPoolOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<CreateSpecialistPoolOperationMetadata>() {
+        @java.lang.Override
+        public CreateSpecialistPoolOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateSpecialistPoolOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateSpecialistPoolOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateSpecialistPoolOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..e0e366176
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolOperationMetadataOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateSpecialistPoolOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequest.java
new file mode 100644
index 000000000..024b44d19
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequest.java
@@ -0,0 +1,960 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateSpecialistPoolRequest}
+ */
+public final class CreateSpecialistPoolRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateSpecialistPoolRequest)
+    CreateSpecialistPoolRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateSpecialistPoolRequest.newBuilder() to construct.
+  private CreateSpecialistPoolRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateSpecialistPoolRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateSpecialistPoolRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateSpecialistPoolRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.SpecialistPool.Builder subBuilder = null;
+              if (specialistPool_ != null) {
+                subBuilder = specialistPool_.toBuilder();
+              }
+              specialistPool_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.SpecialistPool.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(specialistPool_);
+                specialistPool_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.class,
+            com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent Project name for the new SpecialistPool.
+   * The form is `projects/{project}/locations/{location}`.
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent Project name for the new SpecialistPool.
+   * The form is `projects/{project}/locations/{location}`.
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int SPECIALIST_POOL_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.SpecialistPool specialistPool_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the specialistPool field is set.
+   */
+  @java.lang.Override
+  public boolean hasSpecialistPool() {
+    return specialistPool_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The specialistPool.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPool() {
+    return specialistPool_ == null
+        ? com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance()
+        : specialistPool_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolOrBuilder() {
+    return getSpecialistPool();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (specialistPool_ != null) {
+      output.writeMessage(2, getSpecialistPool());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (specialistPool_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getSpecialistPool());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest other =
+        (com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasSpecialistPool() != other.hasSpecialistPool()) return false;
+    if (hasSpecialistPool()) {
+      if (!getSpecialistPool().equals(other.getSpecialistPool())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasSpecialistPool()) {
+      hash = (37 * hash) + SPECIALIST_POOL_FIELD_NUMBER;
+      hash = (53 * hash) + getSpecialistPool().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateSpecialistPoolRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateSpecialistPoolRequest)
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.class,
+              com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (specialistPoolBuilder_ == null) {
+        specialistPool_ = null;
+      } else {
+        specialistPool_ = null;
+        specialistPoolBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest build() {
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest result =
+          new com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest(this);
+      result.parent_ = parent_;
+      if (specialistPoolBuilder_ == null) {
+        result.specialistPool_ = specialistPool_;
+      } else {
+        result.specialistPool_ = specialistPoolBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasSpecialistPool()) {
+        mergeSpecialistPool(other.getSpecialistPool());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent Project name for the new SpecialistPool.
+     * The form is `projects/{project}/locations/{location}`.
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent Project name for the new SpecialistPool.
+     * The form is `projects/{project}/locations/{location}`.
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent Project name for the new SpecialistPool.
+     * The form is `projects/{project}/locations/{location}`.
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent Project name for the new SpecialistPool.
+     * The form is `projects/{project}/locations/{location}`.
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent Project name for the new SpecialistPool.
+     * The form is `projects/{project}/locations/{location}`.
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.SpecialistPool specialistPool_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SpecialistPool,
+            com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+            com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+        specialistPoolBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the specialistPool field is set.
+     */
+    public boolean hasSpecialistPool() {
+      return specialistPoolBuilder_ != null || specialistPool_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The specialistPool.
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPool() {
+      if (specialistPoolBuilder_ == null) {
+        return specialistPool_ == null
+            ? com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance()
+            : specialistPool_;
+      } else {
+        return specialistPoolBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setSpecialistPool(com.google.cloud.aiplatform.v1.SpecialistPool value) {
+      if (specialistPoolBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        specialistPool_ = value;
+        onChanged();
+      } else {
+        specialistPoolBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setSpecialistPool(
+        com.google.cloud.aiplatform.v1.SpecialistPool.Builder builderForValue) {
+      if (specialistPoolBuilder_ == null) {
+        specialistPool_ = builderForValue.build();
+        onChanged();
+      } else {
+        specialistPoolBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeSpecialistPool(com.google.cloud.aiplatform.v1.SpecialistPool value) {
+      if (specialistPoolBuilder_ == null) {
+        if (specialistPool_ != null) {
+          specialistPool_ =
+              com.google.cloud.aiplatform.v1.SpecialistPool.newBuilder(specialistPool_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          specialistPool_ = value;
+        }
+        onChanged();
+      } else {
+        specialistPoolBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearSpecialistPool() {
+      if (specialistPoolBuilder_ == null) {
+        specialistPool_ = null;
+        onChanged();
+      } else {
+        specialistPool_ = null;
+        specialistPoolBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool.Builder getSpecialistPoolBuilder() {
+
+      onChanged();
+      return getSpecialistPoolFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolOrBuilder() {
+      if (specialistPoolBuilder_ != null) {
+        return specialistPoolBuilder_.getMessageOrBuilder();
+      } else {
+        return specialistPool_ == null
+            ? com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance()
+            : specialistPool_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SpecialistPool,
+            com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+            com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+        getSpecialistPoolFieldBuilder() {
+      if (specialistPoolBuilder_ == null) {
+        specialistPoolBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.SpecialistPool,
+                com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+                com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>(
+                getSpecialistPool(), getParentForChildren(), isClean());
+        specialistPool_ = null;
+      }
+      return specialistPoolBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateSpecialistPoolRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateSpecialistPoolRequest)
+  private static final com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateSpecialistPoolRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CreateSpecialistPoolRequest>() {
+        @java.lang.Override
+        public CreateSpecialistPoolRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateSpecialistPoolRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateSpecialistPoolRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateSpecialistPoolRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequestOrBuilder.java
new file mode 100644
index 000000000..01d73fa4a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateSpecialistPoolRequestOrBuilder.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateSpecialistPoolRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateSpecialistPoolRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent Project name for the new SpecialistPool.
+   * The form is `projects/{project}/locations/{location}`.
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent Project name for the new SpecialistPool.
+   * The form is `projects/{project}/locations/{location}`.
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the specialistPool field is set.
+   */
+  boolean hasSpecialistPool();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The specialistPool.
+   */
+  com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPool();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequest.java
new file mode 100644
index 000000000..7255b7163
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequest.java
@@ -0,0 +1,963 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CreateTrainingPipelineRequest}
+ */
+public final class CreateTrainingPipelineRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CreateTrainingPipelineRequest)
+    CreateTrainingPipelineRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CreateTrainingPipelineRequest.newBuilder() to construct.
+  private CreateTrainingPipelineRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CreateTrainingPipelineRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CreateTrainingPipelineRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CreateTrainingPipelineRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.TrainingPipeline.Builder subBuilder = null;
+              if (trainingPipeline_ != null) {
+                subBuilder = trainingPipeline_.toBuilder();
+              }
+              trainingPipeline_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.TrainingPipeline.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(trainingPipeline_);
+                trainingPipeline_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.class,
+            com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the TrainingPipeline in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the TrainingPipeline in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TRAINING_PIPELINE_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.TrainingPipeline trainingPipeline_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The TrainingPipeline to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the trainingPipeline field is set.
+   */
+  @java.lang.Override
+  public boolean hasTrainingPipeline() {
+    return trainingPipeline_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The TrainingPipeline to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The trainingPipeline.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrainingPipeline getTrainingPipeline() {
+    return trainingPipeline_ == null
+        ? com.google.cloud.aiplatform.v1.TrainingPipeline.getDefaultInstance()
+        : trainingPipeline_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The TrainingPipeline to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder getTrainingPipelineOrBuilder() {
+    return getTrainingPipeline();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (trainingPipeline_ != null) {
+      output.writeMessage(2, getTrainingPipeline());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (trainingPipeline_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getTrainingPipeline());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest other =
+        (com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasTrainingPipeline() != other.hasTrainingPipeline()) return false;
+    if (hasTrainingPipeline()) {
+      if (!getTrainingPipeline().equals(other.getTrainingPipeline())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasTrainingPipeline()) {
+      hash = (37 * hash) + TRAINING_PIPELINE_FIELD_NUMBER;
+      hash = (53 * hash) + getTrainingPipeline().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CreateTrainingPipelineRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CreateTrainingPipelineRequest)
+      com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.class,
+              com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (trainingPipelineBuilder_ == null) {
+        trainingPipeline_ = null;
+      } else {
+        trainingPipeline_ = null;
+        trainingPipelineBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest build() {
+      com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest result =
+          new com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest(this);
+      result.parent_ = parent_;
+      if (trainingPipelineBuilder_ == null) {
+        result.trainingPipeline_ = trainingPipeline_;
+      } else {
+        result.trainingPipeline_ = trainingPipelineBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasTrainingPipeline()) {
+        mergeTrainingPipeline(other.getTrainingPipeline());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the TrainingPipeline in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the TrainingPipeline in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the TrainingPipeline in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the TrainingPipeline in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to create the TrainingPipeline in.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.TrainingPipeline trainingPipeline_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.TrainingPipeline,
+            com.google.cloud.aiplatform.v1.TrainingPipeline.Builder,
+            com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>
+        trainingPipelineBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the trainingPipeline field is set.
+     */
+    public boolean hasTrainingPipeline() {
+      return trainingPipelineBuilder_ != null || trainingPipeline_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The trainingPipeline.
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipeline getTrainingPipeline() {
+      if (trainingPipelineBuilder_ == null) {
+        return trainingPipeline_ == null
+            ? com.google.cloud.aiplatform.v1.TrainingPipeline.getDefaultInstance()
+            : trainingPipeline_;
+      } else {
+        return trainingPipelineBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setTrainingPipeline(com.google.cloud.aiplatform.v1.TrainingPipeline value) {
+      if (trainingPipelineBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        trainingPipeline_ = value;
+        onChanged();
+      } else {
+        trainingPipelineBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setTrainingPipeline(
+        com.google.cloud.aiplatform.v1.TrainingPipeline.Builder builderForValue) {
+      if (trainingPipelineBuilder_ == null) {
+        trainingPipeline_ = builderForValue.build();
+        onChanged();
+      } else {
+        trainingPipelineBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeTrainingPipeline(com.google.cloud.aiplatform.v1.TrainingPipeline value) {
+      if (trainingPipelineBuilder_ == null) {
+        if (trainingPipeline_ != null) {
+          trainingPipeline_ =
+              com.google.cloud.aiplatform.v1.TrainingPipeline.newBuilder(trainingPipeline_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          trainingPipeline_ = value;
+        }
+        onChanged();
+      } else {
+        trainingPipelineBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearTrainingPipeline() {
+      if (trainingPipelineBuilder_ == null) {
+        trainingPipeline_ = null;
+        onChanged();
+      } else {
+        trainingPipeline_ = null;
+        trainingPipelineBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipeline.Builder getTrainingPipelineBuilder() {
+
+      onChanged();
+      return getTrainingPipelineFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder getTrainingPipelineOrBuilder() {
+      if (trainingPipelineBuilder_ != null) {
+        return trainingPipelineBuilder_.getMessageOrBuilder();
+      } else {
+        return trainingPipeline_ == null
+            ? com.google.cloud.aiplatform.v1.TrainingPipeline.getDefaultInstance()
+            : trainingPipeline_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The TrainingPipeline to create.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.TrainingPipeline,
+            com.google.cloud.aiplatform.v1.TrainingPipeline.Builder,
+            com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>
+        getTrainingPipelineFieldBuilder() {
+      if (trainingPipelineBuilder_ == null) {
+        trainingPipelineBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.TrainingPipeline,
+                com.google.cloud.aiplatform.v1.TrainingPipeline.Builder,
+                com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>(
+                getTrainingPipeline(), getParentForChildren(), isClean());
+        trainingPipeline_ = null;
+      }
+      return trainingPipelineBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CreateTrainingPipelineRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CreateTrainingPipelineRequest)
+  private static final com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CreateTrainingPipelineRequest> PARSER =
+      new com.google.protobuf.AbstractParser<CreateTrainingPipelineRequest>() {
+        @java.lang.Override
+        public CreateTrainingPipelineRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CreateTrainingPipelineRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CreateTrainingPipelineRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CreateTrainingPipelineRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequestOrBuilder.java
new file mode 100644
index 000000000..890e1a2e1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CreateTrainingPipelineRequestOrBuilder.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CreateTrainingPipelineRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CreateTrainingPipelineRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the TrainingPipeline in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to create the TrainingPipeline in.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The TrainingPipeline to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the trainingPipeline field is set.
+   */
+  boolean hasTrainingPipeline();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The TrainingPipeline to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The trainingPipeline.
+   */
+  com.google.cloud.aiplatform.v1.TrainingPipeline getTrainingPipeline();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The TrainingPipeline to create.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.TrainingPipeline training_pipeline = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder getTrainingPipelineOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJob.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJob.java
new file mode 100644
index 000000000..efe2bda01
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJob.java
@@ -0,0 +1,3411 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents a job that runs custom workloads such as a Docker container or a
+ * Python package. A CustomJob can have multiple worker pools and each worker
+ * pool can have its own machine and input spec. A CustomJob will be cleaned up
+ * once the job enters terminal state (failed or succeeded).
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CustomJob}
+ */
+public final class CustomJob extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CustomJob)
+    CustomJobOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CustomJob.newBuilder() to construct.
+  private CustomJob(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CustomJob() {
+    name_ = "";
+    displayName_ = "";
+    state_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CustomJob();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CustomJob(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.aiplatform.v1.CustomJobSpec.Builder subBuilder = null;
+              if (jobSpec_ != null) {
+                subBuilder = jobSpec_.toBuilder();
+              }
+              jobSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.CustomJobSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(jobSpec_);
+                jobSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 40:
+            {
+              int rawValue = input.readEnum();
+
+              state_ = rawValue;
+              break;
+            }
+          case 50:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 58:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (startTime_ != null) {
+                subBuilder = startTime_.toBuilder();
+              }
+              startTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(startTime_);
+                startTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 66:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (endTime_ != null) {
+                subBuilder = endTime_.toBuilder();
+              }
+              endTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(endTime_);
+                endTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 74:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 82:
+            {
+              com.google.rpc.Status.Builder subBuilder = null;
+              if (error_ != null) {
+                subBuilder = error_.toBuilder();
+              }
+              error_ = input.readMessage(com.google.rpc.Status.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(error_);
+                error_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 90:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 98:
+            {
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EncryptionSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_CustomJob_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 11:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_CustomJob_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CustomJob.class,
+            com.google.cloud.aiplatform.v1.CustomJob.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of a CustomJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of a CustomJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the CustomJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the CustomJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int JOB_SPEC_FIELD_NUMBER = 4;
+  private com.google.cloud.aiplatform.v1.CustomJobSpec jobSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Job spec.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the jobSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasJobSpec() {
+    return jobSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Job spec.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The jobSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJobSpec getJobSpec() {
+    return jobSpec_ == null
+        ? com.google.cloud.aiplatform.v1.CustomJobSpec.getDefaultInstance()
+        : jobSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Job spec.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder getJobSpecOrBuilder() {
+    return getJobSpec();
+  }
+
+  public static final int STATE_FIELD_NUMBER = 5;
+  private int state_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  @java.lang.Override
+  public int getStateValue() {
+    return state_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.JobState getState() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.JobState result =
+        com.google.cloud.aiplatform.v1.JobState.valueOf(state_);
+    return result == null ? com.google.cloud.aiplatform.v1.JobState.UNRECOGNIZED : result;
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 6;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int START_TIME_FIELD_NUMBER = 7;
+  private com.google.protobuf.Timestamp startTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasStartTime() {
+    return startTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getStartTime() {
+    return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+    return getStartTime();
+  }
+
+  public static final int END_TIME_FIELD_NUMBER = 8;
+  private com.google.protobuf.Timestamp endTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasEndTime() {
+    return endTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getEndTime() {
+    return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+    return getEndTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 9;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int ERROR_FIELD_NUMBER = 10;
+  private com.google.rpc.Status error_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+   * `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  @java.lang.Override
+  public boolean hasError() {
+    return error_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+   * `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  @java.lang.Override
+  public com.google.rpc.Status getError() {
+    return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+   * `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  @java.lang.Override
+  public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+    return getError();
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 11;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.CustomJobProto
+                .internal_static_google_cloud_aiplatform_v1_CustomJob_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 12;
+  private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (jobSpec_ != null) {
+      output.writeMessage(4, getJobSpec());
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.JobState.JOB_STATE_UNSPECIFIED.getNumber()) {
+      output.writeEnum(5, state_);
+    }
+    if (createTime_ != null) {
+      output.writeMessage(6, getCreateTime());
+    }
+    if (startTime_ != null) {
+      output.writeMessage(7, getStartTime());
+    }
+    if (endTime_ != null) {
+      output.writeMessage(8, getEndTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(9, getUpdateTime());
+    }
+    if (error_ != null) {
+      output.writeMessage(10, getError());
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 11);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(12, getEncryptionSpec());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (jobSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getJobSpec());
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.JobState.JOB_STATE_UNSPECIFIED.getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(5, state_);
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(6, getCreateTime());
+    }
+    if (startTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, getStartTime());
+    }
+    if (endTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getEndTime());
+    }
+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getUpdateTime());
+    }
+    if (error_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(10, getError());
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.String> entry :
+        internalGetLabels().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+          LabelsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, labels__);
+    }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(12, getEncryptionSpec());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CustomJob)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CustomJob other = (com.google.cloud.aiplatform.v1.CustomJob) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (hasJobSpec() != other.hasJobSpec()) return false;
+    if (hasJobSpec()) {
+      if (!getJobSpec().equals(other.getJobSpec())) return false;
+    }
+    if (state_ != other.state_) return false;
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasStartTime() != other.hasStartTime()) return false;
+    if (hasStartTime()) {
+      if (!getStartTime().equals(other.getStartTime())) return false;
+    }
+    if (hasEndTime() != other.hasEndTime()) return false;
+    if (hasEndTime()) {
+      if (!getEndTime().equals(other.getEndTime())) return false;
+    }
+    if (hasUpdateTime() != other.hasUpdateTime()) return false;
+    if (hasUpdateTime()) {
+      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
+    }
+    if (hasError() != other.hasError()) return false;
+    if (hasError()) {
+      if (!getError().equals(other.getError())) return false;
+    }
+    if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    if (hasJobSpec()) {
+      hash = (37 * hash) + JOB_SPEC_FIELD_NUMBER;
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+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
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+  public static com.google.cloud.aiplatform.v1.CustomJob parseFrom(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJob parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJob parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  public static com.google.cloud.aiplatform.v1.CustomJob parseDelimitedFrom(
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+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJob parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.CustomJob prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a job that runs custom workloads such as a Docker container or a
+   * Python package. A CustomJob can have multiple worker pools and each worker
+   * pool can have its own machine and input spec. A CustomJob will be cleaned up
+   * once the job enters terminal state (failed or succeeded).
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CustomJob}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CustomJob)
+      com.google.cloud.aiplatform.v1.CustomJobOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
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+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.CustomJob.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
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+    @java.lang.Override
+    public Builder clear() {
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+      displayName_ = "";
+
+      if (jobSpecBuilder_ == null) {
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+        jobSpecBuilder_ = null;
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+      state_ = 0;
+
+      if (createTimeBuilder_ == null) {
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+        createTimeBuilder_ = null;
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+      if (encryptionSpecBuilder_ == null) {
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+        encryptionSpecBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_CustomJob_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CustomJob getDefaultInstanceForType() {
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+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CustomJob build() {
+      com.google.cloud.aiplatform.v1.CustomJob result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CustomJob buildPartial() {
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+      int from_bitField0_ = bitField0_;
+      result.name_ = name_;
+      result.displayName_ = displayName_;
+      if (jobSpecBuilder_ == null) {
+        result.jobSpec_ = jobSpec_;
+      } else {
+        result.jobSpec_ = jobSpecBuilder_.build();
+      }
+      result.state_ = state_;
+      if (createTimeBuilder_ == null) {
+        result.createTime_ = createTime_;
+      } else {
+        result.createTime_ = createTimeBuilder_.build();
+      }
+      if (startTimeBuilder_ == null) {
+        result.startTime_ = startTime_;
+      } else {
+        result.startTime_ = startTimeBuilder_.build();
+      }
+      if (endTimeBuilder_ == null) {
+        result.endTime_ = endTime_;
+      } else {
+        result.endTime_ = endTimeBuilder_.build();
+      }
+      if (updateTimeBuilder_ == null) {
+        result.updateTime_ = updateTime_;
+      } else {
+        result.updateTime_ = updateTimeBuilder_.build();
+      }
+      if (errorBuilder_ == null) {
+        result.error_ = error_;
+      } else {
+        result.error_ = errorBuilder_.build();
+      }
+      result.labels_ = internalGetLabels();
+      result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CustomJob) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CustomJob) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CustomJob other) {
+      if (other == com.google.cloud.aiplatform.v1.CustomJob.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (!other.getDisplayName().isEmpty()) {
+        displayName_ = other.displayName_;
+        onChanged();
+      }
+      if (other.hasJobSpec()) {
+        mergeJobSpec(other.getJobSpec());
+      }
+      if (other.state_ != 0) {
+        setStateValue(other.getStateValue());
+      }
+      if (other.hasCreateTime()) {
+        mergeCreateTime(other.getCreateTime());
+      }
+      if (other.hasStartTime()) {
+        mergeStartTime(other.getStartTime());
+      }
+      if (other.hasEndTime()) {
+        mergeEndTime(other.getEndTime());
+      }
+      if (other.hasUpdateTime()) {
+        mergeUpdateTime(other.getUpdateTime());
+      }
+      if (other.hasError()) {
+        mergeError(other.getError());
+      }
+      internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CustomJob parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.CustomJob) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of a CustomJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of a CustomJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of a CustomJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of a CustomJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of a CustomJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the CustomJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the CustomJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the CustomJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the CustomJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the CustomJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.CustomJobSpec jobSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CustomJobSpec,
+            com.google.cloud.aiplatform.v1.CustomJobSpec.Builder,
+            com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder>
+        jobSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the jobSpec field is set.
+     */
+    public boolean hasJobSpec() {
+      return jobSpecBuilder_ != null || jobSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The jobSpec.
+     */
+    public com.google.cloud.aiplatform.v1.CustomJobSpec getJobSpec() {
+      if (jobSpecBuilder_ == null) {
+        return jobSpec_ == null
+            ? com.google.cloud.aiplatform.v1.CustomJobSpec.getDefaultInstance()
+            : jobSpec_;
+      } else {
+        return jobSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setJobSpec(com.google.cloud.aiplatform.v1.CustomJobSpec value) {
+      if (jobSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        jobSpec_ = value;
+        onChanged();
+      } else {
+        jobSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setJobSpec(
+        com.google.cloud.aiplatform.v1.CustomJobSpec.Builder builderForValue) {
+      if (jobSpecBuilder_ == null) {
+        jobSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        jobSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeJobSpec(com.google.cloud.aiplatform.v1.CustomJobSpec value) {
+      if (jobSpecBuilder_ == null) {
+        if (jobSpec_ != null) {
+          jobSpec_ =
+              com.google.cloud.aiplatform.v1.CustomJobSpec.newBuilder(jobSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          jobSpec_ = value;
+        }
+        onChanged();
+      } else {
+        jobSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearJobSpec() {
+      if (jobSpecBuilder_ == null) {
+        jobSpec_ = null;
+        onChanged();
+      } else {
+        jobSpec_ = null;
+        jobSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJobSpec.Builder getJobSpecBuilder() {
+
+      onChanged();
+      return getJobSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder getJobSpecOrBuilder() {
+      if (jobSpecBuilder_ != null) {
+        return jobSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return jobSpec_ == null
+            ? com.google.cloud.aiplatform.v1.CustomJobSpec.getDefaultInstance()
+            : jobSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Job spec.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CustomJobSpec,
+            com.google.cloud.aiplatform.v1.CustomJobSpec.Builder,
+            com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder>
+        getJobSpecFieldBuilder() {
+      if (jobSpecBuilder_ == null) {
+        jobSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.CustomJobSpec,
+                com.google.cloud.aiplatform.v1.CustomJobSpec.Builder,
+                com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder>(
+                getJobSpec(), getParentForChildren(), isClean());
+        jobSpec_ = null;
+      }
+      return jobSpecBuilder_;
+    }
+
+    private int state_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for state.
+     */
+    @java.lang.Override
+    public int getStateValue() {
+      return state_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setStateValue(int value) {
+
+      state_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The state.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.JobState getState() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.JobState result =
+          com.google.cloud.aiplatform.v1.JobState.valueOf(state_);
+      return result == null ? com.google.cloud.aiplatform.v1.JobState.UNRECOGNIZED : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setState(com.google.cloud.aiplatform.v1.JobState value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      state_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearState() {
+
+      state_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp startTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        startTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the startTime field is set.
+     */
+    public boolean hasStartTime() {
+      return startTimeBuilder_ != null || startTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The startTime.
+     */
+    public com.google.protobuf.Timestamp getStartTime() {
+      if (startTimeBuilder_ == null) {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      } else {
+        return startTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        startTime_ = value;
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (startTimeBuilder_ == null) {
+        startTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (startTime_ != null) {
+          startTime_ =
+              com.google.protobuf.Timestamp.newBuilder(startTime_).mergeFrom(value).buildPartial();
+        } else {
+          startTime_ = value;
+        }
+        onChanged();
+      } else {
+        startTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearStartTime() {
+      if (startTimeBuilder_ == null) {
+        startTime_ = null;
+        onChanged();
+      } else {
+        startTime_ = null;
+        startTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
+
+      onChanged();
+      return getStartTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+      if (startTimeBuilder_ != null) {
+        return startTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getStartTimeFieldBuilder() {
+      if (startTimeBuilder_ == null) {
+        startTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getStartTime(), getParentForChildren(), isClean());
+        startTime_ = null;
+      }
+      return startTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp endTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        endTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the endTime field is set.
+     */
+    public boolean hasEndTime() {
+      return endTimeBuilder_ != null || endTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The endTime.
+     */
+    public com.google.protobuf.Timestamp getEndTime() {
+      if (endTimeBuilder_ == null) {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      } else {
+        return endTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        endTime_ = value;
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (endTimeBuilder_ == null) {
+        endTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (endTime_ != null) {
+          endTime_ =
+              com.google.protobuf.Timestamp.newBuilder(endTime_).mergeFrom(value).buildPartial();
+        } else {
+          endTime_ = value;
+        }
+        onChanged();
+      } else {
+        endTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearEndTime() {
+      if (endTimeBuilder_ == null) {
+        endTime_ = null;
+        onChanged();
+      } else {
+        endTime_ = null;
+        endTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
+
+      onChanged();
+      return getEndTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+      if (endTimeBuilder_ != null) {
+        return endTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getEndTimeFieldBuilder() {
+      if (endTimeBuilder_ == null) {
+        endTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getEndTime(), getParentForChildren(), isClean());
+        endTime_ = null;
+      }
+      return endTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the CustomJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private com.google.rpc.Status error_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        errorBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return Whether the error field is set.
+     */
+    public boolean hasError() {
+      return errorBuilder_ != null || error_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The error.
+     */
+    public com.google.rpc.Status getError() {
+      if (errorBuilder_ == null) {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      } else {
+        return errorBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        error_ = value;
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status.Builder builderForValue) {
+      if (errorBuilder_ == null) {
+        error_ = builderForValue.build();
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder mergeError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (error_ != null) {
+          error_ = com.google.rpc.Status.newBuilder(error_).mergeFrom(value).buildPartial();
+        } else {
+          error_ = value;
+        }
+        onChanged();
+      } else {
+        errorBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder clearError() {
+      if (errorBuilder_ == null) {
+        error_ = null;
+        onChanged();
+      } else {
+        error_ = null;
+        errorBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.Status.Builder getErrorBuilder() {
+
+      onChanged();
+      return getErrorFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+      if (errorBuilder_ != null) {
+        return errorBuilder_.getMessageOrBuilder();
+      } else {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+     * `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        getErrorFieldBuilder() {
+      if (errorBuilder_ == null) {
+        errorBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.rpc.Status,
+                com.google.rpc.Status.Builder,
+                com.google.rpc.StatusOrBuilder>(getError(), getParentForChildren(), isClean());
+        error_ = null;
+      }
+      return errorBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize CustomJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize CustomJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize CustomJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize CustomJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize CustomJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize CustomJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize CustomJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CustomJob)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CustomJob)
+  private static final com.google.cloud.aiplatform.v1.CustomJob DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CustomJob();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJob getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CustomJob> PARSER =
+      new com.google.protobuf.AbstractParser<CustomJob>() {
+        @java.lang.Override
+        public CustomJob parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CustomJob(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CustomJob> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CustomJob> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJob getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobName.java
new file mode 100644
index 000000000..3a80e0bde
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobName.java
@@ -0,0 +1,223 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class CustomJobName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_CUSTOM_JOB =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/customJobs/{custom_job}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String customJob;
+
+  @Deprecated
+  protected CustomJobName() {
+    project = null;
+    location = null;
+    customJob = null;
+  }
+
+  private CustomJobName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    customJob = Preconditions.checkNotNull(builder.getCustomJob());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getCustomJob() {
+    return customJob;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static CustomJobName of(String project, String location, String customJob) {
+    return newBuilder().setProject(project).setLocation(location).setCustomJob(customJob).build();
+  }
+
+  public static String format(String project, String location, String customJob) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setCustomJob(customJob)
+        .build()
+        .toString();
+  }
+
+  public static CustomJobName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_CUSTOM_JOB.validatedMatch(
+            formattedString, "CustomJobName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("custom_job"));
+  }
+
+  public static List<CustomJobName> parseList(List<String> formattedStrings) {
+    List<CustomJobName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<CustomJobName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (CustomJobName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_CUSTOM_JOB.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (customJob != null) {
+            fieldMapBuilder.put("custom_job", customJob);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_CUSTOM_JOB.instantiate(
+        "project", project, "location", location, "custom_job", customJob);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      CustomJobName that = ((CustomJobName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.customJob, that.customJob);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(customJob);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/customJobs/{custom_job}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String customJob;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getCustomJob() {
+      return customJob;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setCustomJob(String customJob) {
+      this.customJob = customJob;
+      return this;
+    }
+
+    private Builder(CustomJobName customJobName) {
+      project = customJobName.project;
+      location = customJobName.location;
+      customJob = customJobName.customJob;
+    }
+
+    public CustomJobName build() {
+      return new CustomJobName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobOrBuilder.java
new file mode 100644
index 000000000..bf8a3dadd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobOrBuilder.java
@@ -0,0 +1,460 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CustomJobOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CustomJob)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of a CustomJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of a CustomJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the CustomJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the CustomJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Job spec.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the jobSpec field is set.
+   */
+  boolean hasJobSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Job spec.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The jobSpec.
+   */
+  com.google.cloud.aiplatform.v1.CustomJobSpec getJobSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Job spec.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec job_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder getJobSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  int getStateValue();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  com.google.cloud.aiplatform.v1.JobState getState();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  boolean hasStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  com.google.protobuf.Timestamp getStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  boolean hasEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  com.google.protobuf.Timestamp getEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the CustomJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+   * `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  boolean hasError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+   * `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  com.google.rpc.Status getError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+   * `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  com.google.rpc.StatusOrBuilder getErrorOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize CustomJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 12;</code>
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobProto.java
new file mode 100644
index 000000000..f1b25c467
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobProto.java
@@ -0,0 +1,234 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class CustomJobProto {
+  private CustomJobProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CustomJob_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CustomJob_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CustomJob_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CustomJob_LabelsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CustomJobSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CustomJobSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ContainerSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ContainerSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Scheduling_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Scheduling_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n+google/cloud/aiplatform/v1/custom_job."
+          + "proto\022\032google.cloud.aiplatform.v1\032\037googl"
+          + "e/api/field_behavior.proto\032\031google/api/r"
+          + "esource.proto\0320google/cloud/aiplatform/v"
+          + "1/encryption_spec.proto\032(google/cloud/ai"
+          + "platform/v1/env_var.proto\032#google/cloud/"
+          + "aiplatform/v1/io.proto\032*google/cloud/aip"
+          + "latform/v1/job_state.proto\0322google/cloud"
+          + "/aiplatform/v1/machine_resources.proto\032\036"
+          + "google/protobuf/duration.proto\032\037google/p"
+          + "rotobuf/timestamp.proto\032\027google/rpc/stat"
+          + "us.proto\032\034google/api/annotations.proto\"\323"
+          + "\005\n\tCustomJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014displ"
+          + "ay_name\030\002 \001(\tB\003\340A\002\022@\n\010job_spec\030\004 \001(\0132).g"
+          + "oogle.cloud.aiplatform.v1.CustomJobSpecB"
+          + "\003\340A\002\0228\n\005state\030\005 \001(\0162$.google.cloud.aipla"
+          + "tform.v1.JobStateB\003\340A\003\0224\n\013create_time\030\006 "
+          + "\001(\0132\032.google.protobuf.TimestampB\003\340A\003\0223\n\n"
+          + "start_time\030\007 \001(\0132\032.google.protobuf.Times"
+          + "tampB\003\340A\003\0221\n\010end_time\030\010 \001(\0132\032.google.pro"
+          + "tobuf.TimestampB\003\340A\003\0224\n\013update_time\030\t \001("
+          + "\0132\032.google.protobuf.TimestampB\003\340A\003\022&\n\005er"
+          + "ror\030\n \001(\0132\022.google.rpc.StatusB\003\340A\003\022A\n\006la"
+          + "bels\030\013 \003(\01321.google.cloud.aiplatform.v1."
+          + "CustomJob.LabelsEntry\022C\n\017encryption_spec"
+          + "\030\014 \001(\0132*.google.cloud.aiplatform.v1.Encr"
+          + "yptionSpec\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r"
+          + "\n\005value\030\002 \001(\t:\0028\001:i\352Af\n#aiplatform.googl"
+          + "eapis.com/CustomJob\022?projects/{project}/"
+          + "locations/{location}/customJobs/{custom_"
+          + "job}\"\214\002\n\rCustomJobSpec\022J\n\021worker_pool_sp"
+          + "ecs\030\001 \003(\0132*.google.cloud.aiplatform.v1.W"
+          + "orkerPoolSpecB\003\340A\002\022:\n\nscheduling\030\003 \001(\0132&"
+          + ".google.cloud.aiplatform.v1.Scheduling\022\027"
+          + "\n\017service_account\030\004 \001(\t\022\017\n\007network\030\005 \001(\t"
+          + "\022I\n\025base_output_directory\030\006 \001(\0132*.google"
+          + ".cloud.aiplatform.v1.GcsDestination\"\307\002\n\016"
+          + "WorkerPoolSpec\022C\n\016container_spec\030\006 \001(\0132)"
+          + ".google.cloud.aiplatform.v1.ContainerSpe"
+          + "cH\000\022L\n\023python_package_spec\030\007 \001(\0132-.googl"
+          + "e.cloud.aiplatform.v1.PythonPackageSpecH"
+          + "\000\022E\n\014machine_spec\030\001 \001(\0132\'.google.cloud.a"
+          + "iplatform.v1.MachineSpecB\006\340A\001\340A\005\022\032\n\rrepl"
+          + "ica_count\030\002 \001(\003B\003\340A\001\0227\n\tdisk_spec\030\005 \001(\0132"
+          + "$.google.cloud.aiplatform.v1.DiskSpecB\006\n"
+          + "\004task\"w\n\rContainerSpec\022\026\n\timage_uri\030\001 \001("
+          + "\tB\003\340A\002\022\017\n\007command\030\002 \003(\t\022\014\n\004args\030\003 \003(\t\022/\n"
+          + "\003env\030\004 \003(\0132\".google.cloud.aiplatform.v1."
+          + "EnvVar\"\252\001\n\021PythonPackageSpec\022\037\n\022executor"
+          + "_image_uri\030\001 \001(\tB\003\340A\002\022\031\n\014package_uris\030\002 "
+          + "\003(\tB\003\340A\002\022\032\n\rpython_module\030\003 \001(\tB\003\340A\002\022\014\n\004"
+          + "args\030\004 \003(\t\022/\n\003env\030\005 \003(\0132\".google.cloud.a"
+          + "iplatform.v1.EnvVar\"_\n\nScheduling\022*\n\007tim"
+          + "eout\030\001 \001(\0132\031.google.protobuf.Duration\022%\n"
+          + "\035restart_job_on_worker_restart\030\003 \001(\010Bx\n\036"
+          + "com.google.cloud.aiplatform.v1B\016CustomJo"
+          + "bProtoP\001ZDgoogle.golang.org/genproto/goo"
+          + "gleapis/cloud/aiplatform/v1;aiplatformb\006"
+          + "proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EnvVarProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.IoProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.MachineResourcesProto.getDescriptor(),
+              com.google.protobuf.DurationProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_CustomJob_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_CustomJob_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CustomJob_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "JobSpec",
+              "State",
+              "CreateTime",
+              "StartTime",
+              "EndTime",
+              "UpdateTime",
+              "Error",
+              "Labels",
+              "EncryptionSpec",
+            });
+    internal_static_google_cloud_aiplatform_v1_CustomJob_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_CustomJob_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_CustomJob_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CustomJob_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_CustomJobSpec_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_CustomJobSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CustomJobSpec_descriptor,
+            new java.lang.String[] {
+              "WorkerPoolSpecs", "Scheduling", "ServiceAccount", "Network", "BaseOutputDirectory",
+            });
+    internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_descriptor,
+            new java.lang.String[] {
+              "ContainerSpec",
+              "PythonPackageSpec",
+              "MachineSpec",
+              "ReplicaCount",
+              "DiskSpec",
+              "Task",
+            });
+    internal_static_google_cloud_aiplatform_v1_ContainerSpec_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_ContainerSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ContainerSpec_descriptor,
+            new java.lang.String[] {
+              "ImageUri", "Command", "Args", "Env",
+            });
+    internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_descriptor,
+            new java.lang.String[] {
+              "ExecutorImageUri", "PackageUris", "PythonModule", "Args", "Env",
+            });
+    internal_static_google_cloud_aiplatform_v1_Scheduling_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_Scheduling_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Scheduling_descriptor,
+            new java.lang.String[] {
+              "Timeout", "RestartJobOnWorkerRestart",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EnvVarProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.IoProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.MachineResourcesProto.getDescriptor();
+    com.google.protobuf.DurationProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpec.java
new file mode 100644
index 000000000..b75b82606
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpec.java
@@ -0,0 +1,2178 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents the spec of a CustomJob.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.CustomJobSpec}
+ */
+public final class CustomJobSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CustomJobSpec)
+    CustomJobSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use CustomJobSpec.newBuilder() to construct.
+  private CustomJobSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private CustomJobSpec() {
+    workerPoolSpecs_ = java.util.Collections.emptyList();
+    serviceAccount_ = "";
+    network_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new CustomJobSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private CustomJobSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                workerPoolSpecs_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.WorkerPoolSpec>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              workerPoolSpecs_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.WorkerPoolSpec.parser(), extensionRegistry));
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.aiplatform.v1.Scheduling.Builder subBuilder = null;
+              if (scheduling_ != null) {
+                subBuilder = scheduling_.toBuilder();
+              }
+              scheduling_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Scheduling.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(scheduling_);
+                scheduling_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              serviceAccount_ = s;
+              break;
+            }
+          case 42:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              network_ = s;
+              break;
+            }
+          case 50:
+            {
+              com.google.cloud.aiplatform.v1.GcsDestination.Builder subBuilder = null;
+              if (baseOutputDirectory_ != null) {
+                subBuilder = baseOutputDirectory_.toBuilder();
+              }
+              baseOutputDirectory_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GcsDestination.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(baseOutputDirectory_);
+                baseOutputDirectory_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        workerPoolSpecs_ = java.util.Collections.unmodifiableList(workerPoolSpecs_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_CustomJobSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_CustomJobSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.CustomJobSpec.class,
+            com.google.cloud.aiplatform.v1.CustomJobSpec.Builder.class);
+  }
+
+  public static final int WORKER_POOL_SPECS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> workerPoolSpecs_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> getWorkerPoolSpecsList() {
+    return workerPoolSpecs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
+      getWorkerPoolSpecsOrBuilderList() {
+    return workerPoolSpecs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public int getWorkerPoolSpecsCount() {
+    return workerPoolSpecs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.WorkerPoolSpec getWorkerPoolSpecs(int index) {
+    return workerPoolSpecs_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOrBuilder(
+      int index) {
+    return workerPoolSpecs_.get(index);
+  }
+
+  public static final int SCHEDULING_FIELD_NUMBER = 3;
+  private com.google.cloud.aiplatform.v1.Scheduling scheduling_;
+  /**
+   *
+   *
+   * <pre>
+   * Scheduling options for a CustomJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+   *
+   * @return Whether the scheduling field is set.
+   */
+  @java.lang.Override
+  public boolean hasScheduling() {
+    return scheduling_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Scheduling options for a CustomJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+   *
+   * @return The scheduling.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Scheduling getScheduling() {
+    return scheduling_ == null
+        ? com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()
+        : scheduling_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Scheduling options for a CustomJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SchedulingOrBuilder getSchedulingOrBuilder() {
+    return getScheduling();
+  }
+
+  public static final int SERVICE_ACCOUNT_FIELD_NUMBER = 4;
+  private volatile java.lang.Object serviceAccount_;
+  /**
+   *
+   *
+   * <pre>
+   * Specifies the service account for workload run-as account.
+   * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
+   * </pre>
+   *
+   * <code>string service_account = 4;</code>
+   *
+   * @return The serviceAccount.
+   */
+  @java.lang.Override
+  public java.lang.String getServiceAccount() {
+    java.lang.Object ref = serviceAccount_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      serviceAccount_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Specifies the service account for workload run-as account.
+   * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
+   * </pre>
+   *
+   * <code>string service_account = 4;</code>
+   *
+   * @return The bytes for serviceAccount.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getServiceAccountBytes() {
+    java.lang.Object ref = serviceAccount_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      serviceAccount_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int NETWORK_FIELD_NUMBER = 5;
+  private volatile java.lang.Object network_;
+  /**
+   *
+   *
+   * <pre>
+   * The full name of the Compute Engine
+   * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
+   * network name.
+   * Private services access must already be configured for the network. If left
+   * unspecified, the job is not peered with any network.
+   * </pre>
+   *
+   * <code>string network = 5;</code>
+   *
+   * @return The network.
+   */
+  @java.lang.Override
+  public java.lang.String getNetwork() {
+    java.lang.Object ref = network_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      network_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The full name of the Compute Engine
+   * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
+   * network name.
+   * Private services access must already be configured for the network. If left
+   * unspecified, the job is not peered with any network.
+   * </pre>
+   *
+   * <code>string network = 5;</code>
+   *
+   * @return The bytes for network.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNetworkBytes() {
+    java.lang.Object ref = network_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      network_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int BASE_OUTPUT_DIRECTORY_FIELD_NUMBER = 6;
+  private com.google.cloud.aiplatform.v1.GcsDestination baseOutputDirectory_;
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location to store the output of this CustomJob or
+   * HyperparameterTuningJob. For HyperparameterTuningJob,
+   * the baseOutputDirectory of
+   * each child CustomJob backing a Trial is set to a subdirectory of name
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
+   *   For CustomJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+   *   For CustomJob backing a Trial of HyperparameterTuningJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+   *
+   * @return Whether the baseOutputDirectory field is set.
+   */
+  @java.lang.Override
+  public boolean hasBaseOutputDirectory() {
+    return baseOutputDirectory_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location to store the output of this CustomJob or
+   * HyperparameterTuningJob. For HyperparameterTuningJob,
+   * the baseOutputDirectory of
+   * each child CustomJob backing a Trial is set to a subdirectory of name
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
+   *   For CustomJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+   *   For CustomJob backing a Trial of HyperparameterTuningJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+   *
+   * @return The baseOutputDirectory.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsDestination getBaseOutputDirectory() {
+    return baseOutputDirectory_ == null
+        ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
+        : baseOutputDirectory_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location to store the output of this CustomJob or
+   * HyperparameterTuningJob. For HyperparameterTuningJob,
+   * the baseOutputDirectory of
+   * each child CustomJob backing a Trial is set to a subdirectory of name
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
+   *   For CustomJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+   *   For CustomJob backing a Trial of HyperparameterTuningJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getBaseOutputDirectoryOrBuilder() {
+    return getBaseOutputDirectory();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
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+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
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+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < workerPoolSpecs_.size(); i++) {
+      output.writeMessage(1, workerPoolSpecs_.get(i));
+    }
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+      output.writeMessage(3, getScheduling());
+    }
+    if (!getServiceAccountBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, serviceAccount_);
+    }
+    if (!getNetworkBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 5, network_);
+    }
+    if (baseOutputDirectory_ != null) {
+      output.writeMessage(6, getBaseOutputDirectory());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < workerPoolSpecs_.size(); i++) {
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.CustomJobSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.CustomJobSpec other =
+        (com.google.cloud.aiplatform.v1.CustomJobSpec) obj;
+
+    if (!getWorkerPoolSpecsList().equals(other.getWorkerPoolSpecsList())) return false;
+    if (hasScheduling() != other.hasScheduling()) return false;
+    if (hasScheduling()) {
+      if (!getScheduling().equals(other.getScheduling())) return false;
+    }
+    if (!getServiceAccount().equals(other.getServiceAccount())) return false;
+    if (!getNetwork().equals(other.getNetwork())) return false;
+    if (hasBaseOutputDirectory() != other.hasBaseOutputDirectory()) return false;
+    if (hasBaseOutputDirectory()) {
+      if (!getBaseOutputDirectory().equals(other.getBaseOutputDirectory())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getWorkerPoolSpecsCount() > 0) {
+      hash = (37 * hash) + WORKER_POOL_SPECS_FIELD_NUMBER;
+      hash = (53 * hash) + getWorkerPoolSpecsList().hashCode();
+    }
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+    }
+    hash = (37 * hash) + SERVICE_ACCOUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getServiceAccount().hashCode();
+    hash = (37 * hash) + NETWORK_FIELD_NUMBER;
+    hash = (53 * hash) + getNetwork().hashCode();
+    if (hasBaseOutputDirectory()) {
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+    }
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+    memoizedHashCode = hash;
+    return hash;
+  }
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+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.CustomJobSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents the spec of a CustomJob.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.CustomJobSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.CustomJobSpec)
+      com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_CustomJobSpec_descriptor;
+    }
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+
+    // Construct using com.google.cloud.aiplatform.v1.CustomJobSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
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+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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+          .internal_static_google_cloud_aiplatform_v1_CustomJobSpec_descriptor;
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+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.CustomJobSpec getDefaultInstanceForType() {
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+    public com.google.cloud.aiplatform.v1.CustomJobSpec build() {
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+        result.workerPoolSpecs_ = workerPoolSpecs_;
+      } else {
+        result.workerPoolSpecs_ = workerPoolSpecsBuilder_.build();
+      }
+      if (schedulingBuilder_ == null) {
+        result.scheduling_ = scheduling_;
+      } else {
+        result.scheduling_ = schedulingBuilder_.build();
+      }
+      result.serviceAccount_ = serviceAccount_;
+      result.network_ = network_;
+      if (baseOutputDirectoryBuilder_ == null) {
+        result.baseOutputDirectory_ = baseOutputDirectory_;
+      } else {
+        result.baseOutputDirectory_ = baseOutputDirectoryBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.CustomJobSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.CustomJobSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.CustomJobSpec other) {
+      if (other == com.google.cloud.aiplatform.v1.CustomJobSpec.getDefaultInstance()) return this;
+      if (workerPoolSpecsBuilder_ == null) {
+        if (!other.workerPoolSpecs_.isEmpty()) {
+          if (workerPoolSpecs_.isEmpty()) {
+            workerPoolSpecs_ = other.workerPoolSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureWorkerPoolSpecsIsMutable();
+            workerPoolSpecs_.addAll(other.workerPoolSpecs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.workerPoolSpecs_.isEmpty()) {
+          if (workerPoolSpecsBuilder_.isEmpty()) {
+            workerPoolSpecsBuilder_.dispose();
+            workerPoolSpecsBuilder_ = null;
+            workerPoolSpecs_ = other.workerPoolSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            workerPoolSpecsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getWorkerPoolSpecsFieldBuilder()
+                    : null;
+          } else {
+            workerPoolSpecsBuilder_.addAllMessages(other.workerPoolSpecs_);
+          }
+        }
+      }
+      if (other.hasScheduling()) {
+        mergeScheduling(other.getScheduling());
+      }
+      if (!other.getServiceAccount().isEmpty()) {
+        serviceAccount_ = other.serviceAccount_;
+        onChanged();
+      }
+      if (!other.getNetwork().isEmpty()) {
+        network_ = other.network_;
+        onChanged();
+      }
+      if (other.hasBaseOutputDirectory()) {
+        mergeBaseOutputDirectory(other.getBaseOutputDirectory());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.CustomJobSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.CustomJobSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> workerPoolSpecs_ =
+        java.util.Collections.emptyList();
+
+    private void ensureWorkerPoolSpecsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        workerPoolSpecs_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.WorkerPoolSpec>(
+                workerPoolSpecs_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.WorkerPoolSpec,
+            com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder,
+            com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
+        workerPoolSpecsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> getWorkerPoolSpecsList() {
+      if (workerPoolSpecsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(workerPoolSpecs_);
+      } else {
+        return workerPoolSpecsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public int getWorkerPoolSpecsCount() {
+      if (workerPoolSpecsBuilder_ == null) {
+        return workerPoolSpecs_.size();
+      } else {
+        return workerPoolSpecsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.WorkerPoolSpec getWorkerPoolSpecs(int index) {
+      if (workerPoolSpecsBuilder_ == null) {
+        return workerPoolSpecs_.get(index);
+      } else {
+        return workerPoolSpecsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setWorkerPoolSpecs(
+        int index, com.google.cloud.aiplatform.v1.WorkerPoolSpec value) {
+      if (workerPoolSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureWorkerPoolSpecsIsMutable();
+        workerPoolSpecs_.set(index, value);
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setWorkerPoolSpecs(
+        int index, com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder builderForValue) {
+      if (workerPoolSpecsBuilder_ == null) {
+        ensureWorkerPoolSpecsIsMutable();
+        workerPoolSpecs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addWorkerPoolSpecs(com.google.cloud.aiplatform.v1.WorkerPoolSpec value) {
+      if (workerPoolSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureWorkerPoolSpecsIsMutable();
+        workerPoolSpecs_.add(value);
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addWorkerPoolSpecs(
+        int index, com.google.cloud.aiplatform.v1.WorkerPoolSpec value) {
+      if (workerPoolSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureWorkerPoolSpecsIsMutable();
+        workerPoolSpecs_.add(index, value);
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addWorkerPoolSpecs(
+        com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder builderForValue) {
+      if (workerPoolSpecsBuilder_ == null) {
+        ensureWorkerPoolSpecsIsMutable();
+        workerPoolSpecs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addWorkerPoolSpecs(
+        int index, com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder builderForValue) {
+      if (workerPoolSpecsBuilder_ == null) {
+        ensureWorkerPoolSpecsIsMutable();
+        workerPoolSpecs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addAllWorkerPoolSpecs(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.WorkerPoolSpec> values) {
+      if (workerPoolSpecsBuilder_ == null) {
+        ensureWorkerPoolSpecsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, workerPoolSpecs_);
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearWorkerPoolSpecs() {
+      if (workerPoolSpecsBuilder_ == null) {
+        workerPoolSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder removeWorkerPoolSpecs(int index) {
+      if (workerPoolSpecsBuilder_ == null) {
+        ensureWorkerPoolSpecsIsMutable();
+        workerPoolSpecs_.remove(index);
+        onChanged();
+      } else {
+        workerPoolSpecsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder getWorkerPoolSpecsBuilder(
+        int index) {
+      return getWorkerPoolSpecsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOrBuilder(
+        int index) {
+      if (workerPoolSpecsBuilder_ == null) {
+        return workerPoolSpecs_.get(index);
+      } else {
+        return workerPoolSpecsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
+        getWorkerPoolSpecsOrBuilderList() {
+      if (workerPoolSpecsBuilder_ != null) {
+        return workerPoolSpecsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(workerPoolSpecs_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder addWorkerPoolSpecsBuilder() {
+      return getWorkerPoolSpecsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.WorkerPoolSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder addWorkerPoolSpecsBuilder(
+        int index) {
+      return getWorkerPoolSpecsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.WorkerPoolSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of the worker pools including machine type and Docker image.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder>
+        getWorkerPoolSpecsBuilderList() {
+      return getWorkerPoolSpecsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.WorkerPoolSpec,
+            com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder,
+            com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
+        getWorkerPoolSpecsFieldBuilder() {
+      if (workerPoolSpecsBuilder_ == null) {
+        workerPoolSpecsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.WorkerPoolSpec,
+                com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder,
+                com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>(
+                workerPoolSpecs_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        workerPoolSpecs_ = null;
+      }
+      return workerPoolSpecsBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.Scheduling scheduling_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Scheduling,
+            com.google.cloud.aiplatform.v1.Scheduling.Builder,
+            com.google.cloud.aiplatform.v1.SchedulingOrBuilder>
+        schedulingBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     *
+     * @return Whether the scheduling field is set.
+     */
+    public boolean hasScheduling() {
+      return schedulingBuilder_ != null || scheduling_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     *
+     * @return The scheduling.
+     */
+    public com.google.cloud.aiplatform.v1.Scheduling getScheduling() {
+      if (schedulingBuilder_ == null) {
+        return scheduling_ == null
+            ? com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()
+            : scheduling_;
+      } else {
+        return schedulingBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     */
+    public Builder setScheduling(com.google.cloud.aiplatform.v1.Scheduling value) {
+      if (schedulingBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        scheduling_ = value;
+        onChanged();
+      } else {
+        schedulingBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     */
+    public Builder setScheduling(
+        com.google.cloud.aiplatform.v1.Scheduling.Builder builderForValue) {
+      if (schedulingBuilder_ == null) {
+        scheduling_ = builderForValue.build();
+        onChanged();
+      } else {
+        schedulingBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     */
+    public Builder mergeScheduling(com.google.cloud.aiplatform.v1.Scheduling value) {
+      if (schedulingBuilder_ == null) {
+        if (scheduling_ != null) {
+          scheduling_ =
+              com.google.cloud.aiplatform.v1.Scheduling.newBuilder(scheduling_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          scheduling_ = value;
+        }
+        onChanged();
+      } else {
+        schedulingBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     */
+    public Builder clearScheduling() {
+      if (schedulingBuilder_ == null) {
+        scheduling_ = null;
+        onChanged();
+      } else {
+        scheduling_ = null;
+        schedulingBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Scheduling.Builder getSchedulingBuilder() {
+
+      onChanged();
+      return getSchedulingFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.SchedulingOrBuilder getSchedulingOrBuilder() {
+      if (schedulingBuilder_ != null) {
+        return schedulingBuilder_.getMessageOrBuilder();
+      } else {
+        return scheduling_ == null
+            ? com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()
+            : scheduling_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Scheduling options for a CustomJob.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Scheduling,
+            com.google.cloud.aiplatform.v1.Scheduling.Builder,
+            com.google.cloud.aiplatform.v1.SchedulingOrBuilder>
+        getSchedulingFieldBuilder() {
+      if (schedulingBuilder_ == null) {
+        schedulingBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Scheduling,
+                com.google.cloud.aiplatform.v1.Scheduling.Builder,
+                com.google.cloud.aiplatform.v1.SchedulingOrBuilder>(
+                getScheduling(), getParentForChildren(), isClean());
+        scheduling_ = null;
+      }
+      return schedulingBuilder_;
+    }
+
+    private java.lang.Object serviceAccount_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Specifies the service account for workload run-as account.
+     * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
+     * </pre>
+     *
+     * <code>string service_account = 4;</code>
+     *
+     * @return The serviceAccount.
+     */
+    public java.lang.String getServiceAccount() {
+      java.lang.Object ref = serviceAccount_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        serviceAccount_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies the service account for workload run-as account.
+     * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
+     * </pre>
+     *
+     * <code>string service_account = 4;</code>
+     *
+     * @return The bytes for serviceAccount.
+     */
+    public com.google.protobuf.ByteString getServiceAccountBytes() {
+      java.lang.Object ref = serviceAccount_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        serviceAccount_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies the service account for workload run-as account.
+     * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
+     * </pre>
+     *
+     * <code>string service_account = 4;</code>
+     *
+     * @param value The serviceAccount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setServiceAccount(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      serviceAccount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies the service account for workload run-as account.
+     * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
+     * </pre>
+     *
+     * <code>string service_account = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearServiceAccount() {
+
+      serviceAccount_ = getDefaultInstance().getServiceAccount();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies the service account for workload run-as account.
+     * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
+     * </pre>
+     *
+     * <code>string service_account = 4;</code>
+     *
+     * @param value The bytes for serviceAccount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      serviceAccount_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object network_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The full name of the Compute Engine
+     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
+     * network name.
+     * Private services access must already be configured for the network. If left
+     * unspecified, the job is not peered with any network.
+     * </pre>
+     *
+     * <code>string network = 5;</code>
+     *
+     * @return The network.
+     */
+    public java.lang.String getNetwork() {
+      java.lang.Object ref = network_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        network_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The full name of the Compute Engine
+     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
+     * network name.
+     * Private services access must already be configured for the network. If left
+     * unspecified, the job is not peered with any network.
+     * </pre>
+     *
+     * <code>string network = 5;</code>
+     *
+     * @return The bytes for network.
+     */
+    public com.google.protobuf.ByteString getNetworkBytes() {
+      java.lang.Object ref = network_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        network_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The full name of the Compute Engine
+     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
+     * network name.
+     * Private services access must already be configured for the network. If left
+     * unspecified, the job is not peered with any network.
+     * </pre>
+     *
+     * <code>string network = 5;</code>
+     *
+     * @param value The network to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNetwork(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      network_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The full name of the Compute Engine
+     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
+     * network name.
+     * Private services access must already be configured for the network. If left
+     * unspecified, the job is not peered with any network.
+     * </pre>
+     *
+     * <code>string network = 5;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNetwork() {
+
+      network_ = getDefaultInstance().getNetwork();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The full name of the Compute Engine
+     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
+     * network name.
+     * Private services access must already be configured for the network. If left
+     * unspecified, the job is not peered with any network.
+     * </pre>
+     *
+     * <code>string network = 5;</code>
+     *
+     * @param value The bytes for network to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      network_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GcsDestination baseOutputDirectory_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GcsDestination,
+            com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+            com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+        baseOutputDirectoryBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     *
+     * @return Whether the baseOutputDirectory field is set.
+     */
+    public boolean hasBaseOutputDirectory() {
+      return baseOutputDirectoryBuilder_ != null || baseOutputDirectory_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     *
+     * @return The baseOutputDirectory.
+     */
+    public com.google.cloud.aiplatform.v1.GcsDestination getBaseOutputDirectory() {
+      if (baseOutputDirectoryBuilder_ == null) {
+        return baseOutputDirectory_ == null
+            ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
+            : baseOutputDirectory_;
+      } else {
+        return baseOutputDirectoryBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     */
+    public Builder setBaseOutputDirectory(com.google.cloud.aiplatform.v1.GcsDestination value) {
+      if (baseOutputDirectoryBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        baseOutputDirectory_ = value;
+        onChanged();
+      } else {
+        baseOutputDirectoryBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     */
+    public Builder setBaseOutputDirectory(
+        com.google.cloud.aiplatform.v1.GcsDestination.Builder builderForValue) {
+      if (baseOutputDirectoryBuilder_ == null) {
+        baseOutputDirectory_ = builderForValue.build();
+        onChanged();
+      } else {
+        baseOutputDirectoryBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     */
+    public Builder mergeBaseOutputDirectory(com.google.cloud.aiplatform.v1.GcsDestination value) {
+      if (baseOutputDirectoryBuilder_ == null) {
+        if (baseOutputDirectory_ != null) {
+          baseOutputDirectory_ =
+              com.google.cloud.aiplatform.v1.GcsDestination.newBuilder(baseOutputDirectory_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          baseOutputDirectory_ = value;
+        }
+        onChanged();
+      } else {
+        baseOutputDirectoryBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     */
+    public Builder clearBaseOutputDirectory() {
+      if (baseOutputDirectoryBuilder_ == null) {
+        baseOutputDirectory_ = null;
+        onChanged();
+      } else {
+        baseOutputDirectory_ = null;
+        baseOutputDirectoryBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GcsDestination.Builder getBaseOutputDirectoryBuilder() {
+
+      onChanged();
+      return getBaseOutputDirectoryFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder
+        getBaseOutputDirectoryOrBuilder() {
+      if (baseOutputDirectoryBuilder_ != null) {
+        return baseOutputDirectoryBuilder_.getMessageOrBuilder();
+      } else {
+        return baseOutputDirectory_ == null
+            ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
+            : baseOutputDirectory_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location to store the output of this CustomJob or
+     * HyperparameterTuningJob. For HyperparameterTuningJob,
+     * the baseOutputDirectory of
+     * each child CustomJob backing a Trial is set to a subdirectory of name
+     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
+     *   For CustomJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+     *   For CustomJob backing a Trial of HyperparameterTuningJob:
+     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GcsDestination,
+            com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+            com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+        getBaseOutputDirectoryFieldBuilder() {
+      if (baseOutputDirectoryBuilder_ == null) {
+        baseOutputDirectoryBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GcsDestination,
+                com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+                com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>(
+                getBaseOutputDirectory(), getParentForChildren(), isClean());
+        baseOutputDirectory_ = null;
+      }
+      return baseOutputDirectoryBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CustomJobSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CustomJobSpec)
+  private static final com.google.cloud.aiplatform.v1.CustomJobSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CustomJobSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.CustomJobSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<CustomJobSpec> PARSER =
+      new com.google.protobuf.AbstractParser<CustomJobSpec>() {
+        @java.lang.Override
+        public CustomJobSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new CustomJobSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<CustomJobSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<CustomJobSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJobSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpecOrBuilder.java
new file mode 100644
index 000000000..759ecc43a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpecOrBuilder.java
@@ -0,0 +1,274 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface CustomJobSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.CustomJobSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> getWorkerPoolSpecsList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.WorkerPoolSpec getWorkerPoolSpecs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  int getWorkerPoolSpecsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
+      getWorkerPoolSpecsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of the worker pools including machine type and Docker image.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Scheduling options for a CustomJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+   *
+   * @return Whether the scheduling field is set.
+   */
+  boolean hasScheduling();
+  /**
+   *
+   *
+   * <pre>
+   * Scheduling options for a CustomJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+   *
+   * @return The scheduling.
+   */
+  com.google.cloud.aiplatform.v1.Scheduling getScheduling();
+  /**
+   *
+   *
+   * <pre>
+   * Scheduling options for a CustomJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
+   */
+  com.google.cloud.aiplatform.v1.SchedulingOrBuilder getSchedulingOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Specifies the service account for workload run-as account.
+   * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
+   * </pre>
+   *
+   * <code>string service_account = 4;</code>
+   *
+   * @return The serviceAccount.
+   */
+  java.lang.String getServiceAccount();
+  /**
+   *
+   *
+   * <pre>
+   * Specifies the service account for workload run-as account.
+   * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
+   * </pre>
+   *
+   * <code>string service_account = 4;</code>
+   *
+   * @return The bytes for serviceAccount.
+   */
+  com.google.protobuf.ByteString getServiceAccountBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The full name of the Compute Engine
+   * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
+   * network name.
+   * Private services access must already be configured for the network. If left
+   * unspecified, the job is not peered with any network.
+   * </pre>
+   *
+   * <code>string network = 5;</code>
+   *
+   * @return The network.
+   */
+  java.lang.String getNetwork();
+  /**
+   *
+   *
+   * <pre>
+   * The full name of the Compute Engine
+   * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
+   * network name.
+   * Private services access must already be configured for the network. If left
+   * unspecified, the job is not peered with any network.
+   * </pre>
+   *
+   * <code>string network = 5;</code>
+   *
+   * @return The bytes for network.
+   */
+  com.google.protobuf.ByteString getNetworkBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location to store the output of this CustomJob or
+   * HyperparameterTuningJob. For HyperparameterTuningJob,
+   * the baseOutputDirectory of
+   * each child CustomJob backing a Trial is set to a subdirectory of name
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
+   *   For CustomJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+   *   For CustomJob backing a Trial of HyperparameterTuningJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+   *
+   * @return Whether the baseOutputDirectory field is set.
+   */
+  boolean hasBaseOutputDirectory();
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location to store the output of this CustomJob or
+   * HyperparameterTuningJob. For HyperparameterTuningJob,
+   * the baseOutputDirectory of
+   * each child CustomJob backing a Trial is set to a subdirectory of name
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
+   *   For CustomJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+   *   For CustomJob backing a Trial of HyperparameterTuningJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+   *
+   * @return The baseOutputDirectory.
+   */
+  com.google.cloud.aiplatform.v1.GcsDestination getBaseOutputDirectory();
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location to store the output of this CustomJob or
+   * HyperparameterTuningJob. For HyperparameterTuningJob,
+   * the baseOutputDirectory of
+   * each child CustomJob backing a Trial is set to a subdirectory of name
+   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
+   *   For CustomJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
+   *   For CustomJob backing a Trial of HyperparameterTuningJob:
+   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
+   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
+   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
+   */
+  com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getBaseOutputDirectoryOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItem.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItem.java
new file mode 100644
index 000000000..ec6eae316
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItem.java
@@ -0,0 +1,2109 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_item.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A piece of data in a Dataset. Could be an image, a video, a document or plain
+ * text.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DataItem}
+ */
+public final class DataItem extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DataItem)
+    DataItemOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DataItem.newBuilder() to construct.
+  private DataItem(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DataItem() {
+    name_ = "";
+    etag_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DataItem();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DataItem(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 26:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 34:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (payload_ != null) {
+                subBuilder = payload_.toBuilder();
+              }
+              payload_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(payload_);
+                payload_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 58:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              etag_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DataItemProto
+        .internal_static_google_cloud_aiplatform_v1_DataItem_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 3:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DataItemProto
+        .internal_static_google_cloud_aiplatform_v1_DataItem_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DataItem.class,
+            com.google.cloud.aiplatform.v1.DataItem.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the DataItem.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the DataItem.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 2;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 6;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 3;
+
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+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.DataItemProto
+                .internal_static_google_cloud_aiplatform_v1_DataItem_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
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+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int PAYLOAD_FIELD_NUMBER = 4;
+  private com.google.protobuf.Value payload_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The data that the DataItem represents (for example, an image or a text
+   * snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return Whether the payload field is set.
+   */
+  @java.lang.Override
+  public boolean hasPayload() {
+    return payload_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The data that the DataItem represents (for example, an image or a text
+   * snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The payload.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getPayload() {
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+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The data that the DataItem represents (for example, an image or a text
+   * snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
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+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The etag.
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+  public java.lang.String getEtag() {
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+      return s;
+    }
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+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
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+   * </pre>
+   *
+   * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
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+   *
+   *
+   * <pre>
+   * A piece of data in a Dataset. Could be an image, a video, a document or plain
+   * text.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DataItem}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DataItem) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DataItem) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DataItem other) {
+      if (other == com.google.cloud.aiplatform.v1.DataItem.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasCreateTime()) {
+        mergeCreateTime(other.getCreateTime());
+      }
+      if (other.hasUpdateTime()) {
+        mergeUpdateTime(other.getUpdateTime());
+      }
+      internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasPayload()) {
+        mergePayload(other.getPayload());
+      }
+      if (!other.getEtag().isEmpty()) {
+        etag_ = other.etag_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DataItem parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.DataItem) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the DataItem.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the DataItem.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the DataItem.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the DataItem.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the DataItem.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataItem was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your DataItems.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one DataItem(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your DataItems.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one DataItem(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your DataItems.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one DataItem(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your DataItems.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one DataItem(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your DataItems.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one DataItem(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your DataItems.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one DataItem(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The labels with user-defined metadata to organize your DataItems.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one DataItem(System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.protobuf.Value payload_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        payloadBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return Whether the payload field is set.
+     */
+    public boolean hasPayload() {
+      return payloadBuilder_ != null || payload_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The payload.
+     */
+    public com.google.protobuf.Value getPayload() {
+      if (payloadBuilder_ == null) {
+        return payload_ == null ? com.google.protobuf.Value.getDefaultInstance() : payload_;
+      } else {
+        return payloadBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder setPayload(com.google.protobuf.Value value) {
+      if (payloadBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        payload_ = value;
+        onChanged();
+      } else {
+        payloadBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder setPayload(com.google.protobuf.Value.Builder builderForValue) {
+      if (payloadBuilder_ == null) {
+        payload_ = builderForValue.build();
+        onChanged();
+      } else {
+        payloadBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder mergePayload(com.google.protobuf.Value value) {
+      if (payloadBuilder_ == null) {
+        if (payload_ != null) {
+          payload_ = com.google.protobuf.Value.newBuilder(payload_).mergeFrom(value).buildPartial();
+        } else {
+          payload_ = value;
+        }
+        onChanged();
+      } else {
+        payloadBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder clearPayload() {
+      if (payloadBuilder_ == null) {
+        payload_ = null;
+        onChanged();
+      } else {
+        payload_ = null;
+        payloadBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public com.google.protobuf.Value.Builder getPayloadBuilder() {
+
+      onChanged();
+      return getPayloadFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getPayloadOrBuilder() {
+      if (payloadBuilder_ != null) {
+        return payloadBuilder_.getMessageOrBuilder();
+      } else {
+        return payload_ == null ? com.google.protobuf.Value.getDefaultInstance() : payload_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The data that the DataItem represents (for example, an image or a text
+     * snippet). The schema of the payload is stored in the parent Dataset's
+     * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getPayloadFieldBuilder() {
+      if (payloadBuilder_ == null) {
+        payloadBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getPayload(), getParentForChildren(), isClean());
+        payload_ = null;
+      }
+      return payloadBuilder_;
+    }
+
+    private java.lang.Object etag_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The etag.
+     */
+    public java.lang.String getEtag() {
+      java.lang.Object ref = etag_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        etag_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for etag.
+     */
+    public com.google.protobuf.ByteString getEtagBytes() {
+      java.lang.Object ref = etag_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        etag_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtag(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEtag() {
+
+      etag_ = getDefaultInstance().getEtag();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The bytes for etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtagBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DataItem)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DataItem)
+  private static final com.google.cloud.aiplatform.v1.DataItem DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DataItem();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DataItem getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DataItem> PARSER =
+      new com.google.protobuf.AbstractParser<DataItem>() {
+        @java.lang.Override
+        public DataItem parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DataItem(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DataItem> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DataItem> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DataItem getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemName.java
new file mode 100644
index 000000000..c8c437f91
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemName.java
@@ -0,0 +1,259 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class DataItemName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_DATASET_DATA_ITEM =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String dataset;
+  private final String dataItem;
+
+  @Deprecated
+  protected DataItemName() {
+    project = null;
+    location = null;
+    dataset = null;
+    dataItem = null;
+  }
+
+  private DataItemName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    dataset = Preconditions.checkNotNull(builder.getDataset());
+    dataItem = Preconditions.checkNotNull(builder.getDataItem());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getDataset() {
+    return dataset;
+  }
+
+  public String getDataItem() {
+    return dataItem;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static DataItemName of(String project, String location, String dataset, String dataItem) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataset(dataset)
+        .setDataItem(dataItem)
+        .build();
+  }
+
+  public static String format(String project, String location, String dataset, String dataItem) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataset(dataset)
+        .setDataItem(dataItem)
+        .build()
+        .toString();
+  }
+
+  public static DataItemName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_DATASET_DATA_ITEM.validatedMatch(
+            formattedString, "DataItemName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("dataset"),
+        matchMap.get("data_item"));
+  }
+
+  public static List<DataItemName> parseList(List<String> formattedStrings) {
+    List<DataItemName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<DataItemName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (DataItemName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_DATASET_DATA_ITEM.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (dataset != null) {
+            fieldMapBuilder.put("dataset", dataset);
+          }
+          if (dataItem != null) {
+            fieldMapBuilder.put("data_item", dataItem);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_DATASET_DATA_ITEM.instantiate(
+        "project", project, "location", location, "dataset", dataset, "data_item", dataItem);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      DataItemName that = ((DataItemName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.dataset, that.dataset)
+          && Objects.equals(this.dataItem, that.dataItem);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(dataset);
+    h *= 1000003;
+    h ^= Objects.hashCode(dataItem);
+    return h;
+  }
+
+  /**
+   * Builder for projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}.
+   */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String dataset;
+    private String dataItem;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getDataset() {
+      return dataset;
+    }
+
+    public String getDataItem() {
+      return dataItem;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setDataset(String dataset) {
+      this.dataset = dataset;
+      return this;
+    }
+
+    public Builder setDataItem(String dataItem) {
+      this.dataItem = dataItem;
+      return this;
+    }
+
+    private Builder(DataItemName dataItemName) {
+      project = dataItemName.project;
+      location = dataItemName.location;
+      dataset = dataItemName.dataset;
+      dataItem = dataItemName.dataItem;
+    }
+
+    public DataItemName build() {
+      return new DataItemName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemOrBuilder.java
new file mode 100644
index 000000000..56c09fa08
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemOrBuilder.java
@@ -0,0 +1,288 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_item.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DataItemOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DataItem)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the DataItem.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the DataItem.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataItem was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The labels with user-defined metadata to organize your DataItems.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one DataItem(System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The data that the DataItem represents (for example, an image or a text
+   * snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return Whether the payload field is set.
+   */
+  boolean hasPayload();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The data that the DataItem represents (for example, an image or a text
+   * snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The payload.
+   */
+  com.google.protobuf.Value getPayload();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The data that the DataItem represents (for example, an image or a text
+   * snippet). The schema of the payload is stored in the parent Dataset's
+   * [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value payload = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   */
+  com.google.protobuf.ValueOrBuilder getPayloadOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The etag.
+   */
+  java.lang.String getEtag();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 7 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The bytes for etag.
+   */
+  com.google.protobuf.ByteString getEtagBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemProto.java
new file mode 100644
index 000000000..83c0574b1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataItemProto.java
@@ -0,0 +1,108 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_item.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class DataItemProto {
+  private DataItemProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DataItem_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DataItem_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DataItem_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DataItem_LabelsEntry_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n*google/cloud/aiplatform/v1/data_item.p"
+          + "roto\022\032google.cloud.aiplatform.v1\032\037google"
+          + "/api/field_behavior.proto\032\031google/api/re"
+          + "source.proto\032\034google/protobuf/struct.pro"
+          + "to\032\037google/protobuf/timestamp.proto\032\034goo"
+          + "gle/api/annotations.proto\"\273\003\n\010DataItem\022\021"
+          + "\n\004name\030\001 \001(\tB\003\340A\003\0224\n\013create_time\030\002 \001(\0132\032"
+          + ".google.protobuf.TimestampB\003\340A\003\0224\n\013updat"
+          + "e_time\030\006 \001(\0132\032.google.protobuf.Timestamp"
+          + "B\003\340A\003\022E\n\006labels\030\003 \003(\01320.google.cloud.aip"
+          + "latform.v1.DataItem.LabelsEntryB\003\340A\001\022,\n\007"
+          + "payload\030\004 \001(\0132\026.google.protobuf.ValueB\003\340"
+          + "A\002\022\021\n\004etag\030\007 \001(\tB\003\340A\001\032-\n\013LabelsEntry\022\013\n\003"
+          + "key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:y\352Av\n\"aipla"
+          + "tform.googleapis.com/DataItem\022Pprojects/"
+          + "{project}/locations/{location}/datasets/"
+          + "{dataset}/dataItems/{data_item}Bw\n\036com.g"
+          + "oogle.cloud.aiplatform.v1B\rDataItemProto"
+          + "P\001ZDgoogle.golang.org/genproto/googleapi"
+          + "s/cloud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_DataItem_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_DataItem_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DataItem_descriptor,
+            new java.lang.String[] {
+              "Name", "CreateTime", "UpdateTime", "Labels", "Payload", "Etag",
+            });
+    internal_static_google_cloud_aiplatform_v1_DataItem_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_DataItem_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_DataItem_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DataItem_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJob.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJob.java
new file mode 100644
index 000000000..60a3c7ff3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJob.java
@@ -0,0 +1,5022 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * DataLabelingJob is used to trigger a human labeling job on unlabeled data
+ * from the following Dataset:
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DataLabelingJob}
+ */
+public final class DataLabelingJob extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DataLabelingJob)
+    DataLabelingJobOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DataLabelingJob.newBuilder() to construct.
+  private DataLabelingJob(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DataLabelingJob() {
+    name_ = "";
+    displayName_ = "";
+    datasets_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    instructionUri_ = "";
+    inputsSchemaUri_ = "";
+    state_ = 0;
+    specialistPools_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DataLabelingJob();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DataLabelingJob(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                datasets_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              datasets_.add(s);
+              break;
+            }
+          case 32:
+            {
+              labelerCount_ = input.readInt32();
+              break;
+            }
+          case 42:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              instructionUri_ = s;
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              inputsSchemaUri_ = s;
+              break;
+            }
+          case 58:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 64:
+            {
+              int rawValue = input.readEnum();
+
+              state_ = rawValue;
+              break;
+            }
+          case 74:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 82:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 90:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000004;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 98:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                annotationLabels_ =
+                    com.google.protobuf.MapField.newMapField(
+                        AnnotationLabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000002;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> annotationLabels__ =
+                  input.readMessage(
+                      AnnotationLabelsDefaultEntryHolder.defaultEntry.getParserForType(),
+                      extensionRegistry);
+              annotationLabels_
+                  .getMutableMap()
+                  .put(annotationLabels__.getKey(), annotationLabels__.getValue());
+              break;
+            }
+          case 104:
+            {
+              labelingProgress_ = input.readInt32();
+              break;
+            }
+          case 114:
+            {
+              com.google.type.Money.Builder subBuilder = null;
+              if (currentSpend_ != null) {
+                subBuilder = currentSpend_.toBuilder();
+              }
+              currentSpend_ = input.readMessage(com.google.type.Money.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(currentSpend_);
+                currentSpend_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 130:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                specialistPools_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              specialistPools_.add(s);
+              break;
+            }
+          case 162:
+            {
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EncryptionSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 170:
+            {
+              com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder subBuilder = null;
+              if (activeLearningConfig_ != null) {
+                subBuilder = activeLearningConfig_.toBuilder();
+              }
+              activeLearningConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ActiveLearningConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(activeLearningConfig_);
+                activeLearningConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 178:
+            {
+              com.google.rpc.Status.Builder subBuilder = null;
+              if (error_ != null) {
+                subBuilder = error_.toBuilder();
+              }
+              error_ = input.readMessage(com.google.rpc.Status.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(error_);
+                error_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        datasets_ = datasets_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000008) != 0)) {
+        specialistPools_ = specialistPools_.getUnmodifiableView();
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+        .internal_static_google_cloud_aiplatform_v1_DataLabelingJob_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 12:
+        return internalGetAnnotationLabels();
+      case 11:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+        .internal_static_google_cloud_aiplatform_v1_DataLabelingJob_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DataLabelingJob.class,
+            com.google.cloud.aiplatform.v1.DataLabelingJob.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the DataLabelingJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the DataLabelingJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the DataLabelingJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * Display name of a DataLabelingJob.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the DataLabelingJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * Display name of a DataLabelingJob.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DATASETS_FIELD_NUMBER = 3;
+  private com.google.protobuf.LazyStringList datasets_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Dataset resource names. Right now we only support labeling from a single
+   * Dataset.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return A list containing the datasets.
+   */
+  public com.google.protobuf.ProtocolStringList getDatasetsList() {
+    return datasets_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Dataset resource names. Right now we only support labeling from a single
+   * Dataset.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The count of datasets.
+   */
+  public int getDatasetsCount() {
+    return datasets_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Dataset resource names. Right now we only support labeling from a single
+   * Dataset.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The datasets at the given index.
+   */
+  public java.lang.String getDatasets(int index) {
+    return datasets_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Dataset resource names. Right now we only support labeling from a single
+   * Dataset.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the datasets at the given index.
+   */
+  public com.google.protobuf.ByteString getDatasetsBytes(int index) {
+    return datasets_.getByteString(index);
+  }
+
+  public static final int ANNOTATION_LABELS_FIELD_NUMBER = 12;
+
+  private static final class AnnotationLabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.DataLabelingJobProto
+                .internal_static_google_cloud_aiplatform_v1_DataLabelingJob_AnnotationLabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> annotationLabels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+      internalGetAnnotationLabels() {
+    if (annotationLabels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(
+          AnnotationLabelsDefaultEntryHolder.defaultEntry);
+    }
+    return annotationLabels_;
+  }
+
+  public int getAnnotationLabelsCount() {
+    return internalGetAnnotationLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  @java.lang.Override
+  public boolean containsAnnotationLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetAnnotationLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getAnnotationLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getAnnotationLabels() {
+    return getAnnotationLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getAnnotationLabelsMap() {
+    return internalGetAnnotationLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getAnnotationLabelsOrDefault(
+      java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetAnnotationLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getAnnotationLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetAnnotationLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int LABELER_COUNT_FIELD_NUMBER = 4;
+  private int labelerCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Number of labelers to work on each DataItem.
+   * </pre>
+   *
+   * <code>int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The labelerCount.
+   */
+  @java.lang.Override
+  public int getLabelerCount() {
+    return labelerCount_;
+  }
+
+  public static final int INSTRUCTION_URI_FIELD_NUMBER = 5;
+  private volatile java.lang.Object instructionUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+   * shared with labelers, and provides detailed description on how to label
+   * DataItems in Datasets.
+   * </pre>
+   *
+   * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The instructionUri.
+   */
+  @java.lang.Override
+  public java.lang.String getInstructionUri() {
+    java.lang.Object ref = instructionUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      instructionUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+   * shared with labelers, and provides detailed description on how to label
+   * DataItems in Datasets.
+   * </pre>
+   *
+   * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for instructionUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getInstructionUriBytes() {
+    java.lang.Object ref = instructionUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      instructionUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int INPUTS_SCHEMA_URI_FIELD_NUMBER = 6;
+  private volatile java.lang.Object inputsSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing the
+   * config for a specific type of DataLabelingJob.
+   * The schema files that can be used here are found in the
+   * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+   * /schema/datalabelingjob/inputs/ folder.
+   * </pre>
+   *
+   * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The inputsSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getInputsSchemaUri() {
+    java.lang.Object ref = inputsSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      inputsSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing the
+   * config for a specific type of DataLabelingJob.
+   * The schema files that can be used here are found in the
+   * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+   * /schema/datalabelingjob/inputs/ folder.
+   * </pre>
+   *
+   * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for inputsSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getInputsSchemaUriBytes() {
+    java.lang.Object ref = inputsSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      inputsSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 7;
+  private com.google.protobuf.Value inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input config parameters for the DataLabelingJob.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input config parameters for the DataLabelingJob.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getInputs() {
+    return inputs_ == null ? com.google.protobuf.Value.getDefaultInstance() : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input config parameters for the DataLabelingJob.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  public static final int STATE_FIELD_NUMBER = 8;
+  private int state_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  @java.lang.Override
+  public int getStateValue() {
+    return state_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.JobState getState() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.JobState result =
+        com.google.cloud.aiplatform.v1.JobState.valueOf(state_);
+    return result == null ? com.google.cloud.aiplatform.v1.JobState.UNRECOGNIZED : result;
+  }
+
+  public static final int LABELING_PROGRESS_FIELD_NUMBER = 13;
+  private int labelingProgress_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Current labeling job progress percentage scaled in interval [0, 100],
+   * indicating the percentage of DataItems that has been finished.
+   * </pre>
+   *
+   * <code>int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The labelingProgress.
+   */
+  @java.lang.Override
+  public int getLabelingProgress() {
+    return labelingProgress_;
+  }
+
+  public static final int CURRENT_SPEND_FIELD_NUMBER = 14;
+  private com.google.type.Money currentSpend_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+   * date.
+   * </pre>
+   *
+   * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the currentSpend field is set.
+   */
+  @java.lang.Override
+  public boolean hasCurrentSpend() {
+    return currentSpend_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+   * date.
+   * </pre>
+   *
+   * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The currentSpend.
+   */
+  @java.lang.Override
+  public com.google.type.Money getCurrentSpend() {
+    return currentSpend_ == null ? com.google.type.Money.getDefaultInstance() : currentSpend_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+   * date.
+   * </pre>
+   *
+   * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.type.MoneyOrBuilder getCurrentSpendOrBuilder() {
+    return getCurrentSpend();
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 9;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 10;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was updated most recently.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was updated most recently.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was updated most recently.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int ERROR_FIELD_NUMBER = 22;
+  private com.google.rpc.Status error_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. DataLabelingJob errors. It is only populated when job's state is
+   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  @java.lang.Override
+  public boolean hasError() {
+    return error_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. DataLabelingJob errors. It is only populated when job's state is
+   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  @java.lang.Override
+  public com.google.rpc.Status getError() {
+    return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. DataLabelingJob errors. It is only populated when job's state is
+   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  @java.lang.Override
+  public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+    return getError();
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 11;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.DataLabelingJobProto
+                .internal_static_google_cloud_aiplatform_v1_DataLabelingJob_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int SPECIALIST_POOLS_FIELD_NUMBER = 16;
+  private com.google.protobuf.LazyStringList specialistPools_;
+  /**
+   *
+   *
+   * <pre>
+   * The SpecialistPools' resource names associated with this job.
+   * </pre>
+   *
+   * <code>repeated string specialist_pools = 16;</code>
+   *
+   * @return A list containing the specialistPools.
+   */
+  public com.google.protobuf.ProtocolStringList getSpecialistPoolsList() {
+    return specialistPools_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The SpecialistPools' resource names associated with this job.
+   * </pre>
+   *
+   * <code>repeated string specialist_pools = 16;</code>
+   *
+   * @return The count of specialistPools.
+   */
+  public int getSpecialistPoolsCount() {
+    return specialistPools_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The SpecialistPools' resource names associated with this job.
+   * </pre>
+   *
+   * <code>repeated string specialist_pools = 16;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The specialistPools at the given index.
+   */
+  public java.lang.String getSpecialistPools(int index) {
+    return specialistPools_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The SpecialistPools' resource names associated with this job.
+   * </pre>
+   *
+   * <code>repeated string specialist_pools = 16;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the specialistPools at the given index.
+   */
+  public com.google.protobuf.ByteString getSpecialistPoolsBytes(int index) {
+    return specialistPools_.getByteString(index);
+  }
+
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 20;
+  private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
+  public static final int ACTIVE_LEARNING_CONFIG_FIELD_NUMBER = 21;
+  private com.google.cloud.aiplatform.v1.ActiveLearningConfig activeLearningConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure the active learning pipeline. Active learning will
+   * label the data incrementally via several iterations. For every iteration,
+   * it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+   *
+   * @return Whether the activeLearningConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasActiveLearningConfig() {
+    return activeLearningConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure the active learning pipeline. Active learning will
+   * label the data incrementally via several iterations. For every iteration,
+   * it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+   *
+   * @return The activeLearningConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ActiveLearningConfig getActiveLearningConfig() {
+    return activeLearningConfig_ == null
+        ? com.google.cloud.aiplatform.v1.ActiveLearningConfig.getDefaultInstance()
+        : activeLearningConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure the active learning pipeline. Active learning will
+   * label the data incrementally via several iterations. For every iteration,
+   * it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ActiveLearningConfigOrBuilder
+      getActiveLearningConfigOrBuilder() {
+    return getActiveLearningConfig();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    for (int i = 0; i < datasets_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, datasets_.getRaw(i));
+    }
+    if (labelerCount_ != 0) {
+      output.writeInt32(4, labelerCount_);
+    }
+    if (!getInstructionUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 5, instructionUri_);
+    }
+    if (!getInputsSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 6, inputsSchemaUri_);
+    }
+    if (inputs_ != null) {
+      output.writeMessage(7, getInputs());
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.JobState.JOB_STATE_UNSPECIFIED.getNumber()) {
+      output.writeEnum(8, state_);
+    }
+    if (createTime_ != null) {
+      output.writeMessage(9, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(10, getUpdateTime());
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 11);
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetAnnotationLabels(), AnnotationLabelsDefaultEntryHolder.defaultEntry, 12);
+    if (labelingProgress_ != 0) {
+      output.writeInt32(13, labelingProgress_);
+    }
+    if (currentSpend_ != null) {
+      output.writeMessage(14, getCurrentSpend());
+    }
+    for (int i = 0; i < specialistPools_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 16, specialistPools_.getRaw(i));
+    }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(20, getEncryptionSpec());
+    }
+    if (activeLearningConfig_ != null) {
+      output.writeMessage(21, getActiveLearningConfig());
+    }
+    if (error_ != null) {
+      output.writeMessage(22, getError());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < datasets_.size(); i++) {
+        dataSize += computeStringSizeNoTag(datasets_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getDatasetsList().size();
+    }
+    if (labelerCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(4, labelerCount_);
+    }
+    if (!getInstructionUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, instructionUri_);
+    }
+    if (!getInputsSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, inputsSchemaUri_);
+    }
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, getInputs());
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.JobState.JOB_STATE_UNSPECIFIED.getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(8, state_);
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(10, getUpdateTime());
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.String> entry :
+        internalGetLabels().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+          LabelsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, labels__);
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.String> entry :
+        internalGetAnnotationLabels().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.String> annotationLabels__ =
+          AnnotationLabelsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(12, annotationLabels__);
+    }
+    if (labelingProgress_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(13, labelingProgress_);
+    }
+    if (currentSpend_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(14, getCurrentSpend());
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < specialistPools_.size(); i++) {
+        dataSize += computeStringSizeNoTag(specialistPools_.getRaw(i));
+      }
+      size += dataSize;
+      size += 2 * getSpecialistPoolsList().size();
+    }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(20, getEncryptionSpec());
+    }
+    if (activeLearningConfig_ != null) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(21, getActiveLearningConfig());
+    }
+    if (error_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(22, getError());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DataLabelingJob)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DataLabelingJob other =
+        (com.google.cloud.aiplatform.v1.DataLabelingJob) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (!getDatasetsList().equals(other.getDatasetsList())) return false;
+    if (!internalGetAnnotationLabels().equals(other.internalGetAnnotationLabels())) return false;
+    if (getLabelerCount() != other.getLabelerCount()) return false;
+    if (!getInstructionUri().equals(other.getInstructionUri())) return false;
+    if (!getInputsSchemaUri().equals(other.getInputsSchemaUri())) return false;
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (state_ != other.state_) return false;
+    if (getLabelingProgress() != other.getLabelingProgress()) return false;
+    if (hasCurrentSpend() != other.hasCurrentSpend()) return false;
+    if (hasCurrentSpend()) {
+      if (!getCurrentSpend().equals(other.getCurrentSpend())) return false;
+    }
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasUpdateTime() != other.hasUpdateTime()) return false;
+    if (hasUpdateTime()) {
+      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
+    }
+    if (hasError() != other.hasError()) return false;
+    if (hasError()) {
+      if (!getError().equals(other.getError())) return false;
+    }
+    if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (!getSpecialistPoolsList().equals(other.getSpecialistPoolsList())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
+    if (hasActiveLearningConfig() != other.hasActiveLearningConfig()) return false;
+    if (hasActiveLearningConfig()) {
+      if (!getActiveLearningConfig().equals(other.getActiveLearningConfig())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    if (getDatasetsCount() > 0) {
+      hash = (37 * hash) + DATASETS_FIELD_NUMBER;
+      hash = (53 * hash) + getDatasetsList().hashCode();
+    }
+    if (!internalGetAnnotationLabels().getMap().isEmpty()) {
+      hash = (37 * hash) + ANNOTATION_LABELS_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetAnnotationLabels().hashCode();
+    }
+    hash = (37 * hash) + LABELER_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getLabelerCount();
+    hash = (37 * hash) + INSTRUCTION_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getInstructionUri().hashCode();
+    hash = (37 * hash) + INPUTS_SCHEMA_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getInputsSchemaUri().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    hash = (37 * hash) + STATE_FIELD_NUMBER;
+    hash = (53 * hash) + state_;
+    hash = (37 * hash) + LABELING_PROGRESS_FIELD_NUMBER;
+    hash = (53 * hash) + getLabelingProgress();
+    if (hasCurrentSpend()) {
+      hash = (37 * hash) + CURRENT_SPEND_FIELD_NUMBER;
+      hash = (53 * hash) + getCurrentSpend().hashCode();
+    }
+    if (hasCreateTime()) {
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+   * DataLabelingJob is used to trigger a human labeling job on unlabeled data
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+   * </pre>
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+      displayName_ = "";
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DataLabelingJob) {
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+        super.mergeFrom(other);
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+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DataLabelingJob other) {
+      if (other == com.google.cloud.aiplatform.v1.DataLabelingJob.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
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+        onChanged();
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+      if (other.getLabelerCount() != 0) {
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+      if (!other.getInstructionUri().isEmpty()) {
+        instructionUri_ = other.instructionUri_;
+        onChanged();
+      }
+      if (!other.getInputsSchemaUri().isEmpty()) {
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+        onChanged();
+      }
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      if (other.state_ != 0) {
+        setStateValue(other.getStateValue());
+      }
+      if (other.getLabelingProgress() != 0) {
+        setLabelingProgress(other.getLabelingProgress());
+      }
+      if (other.hasCurrentSpend()) {
+        mergeCurrentSpend(other.getCurrentSpend());
+      }
+      if (other.hasCreateTime()) {
+        mergeCreateTime(other.getCreateTime());
+      }
+      if (other.hasUpdateTime()) {
+        mergeUpdateTime(other.getUpdateTime());
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+      if (other.hasError()) {
+        mergeError(other.getError());
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+      internalGetMutableLabels().mergeFrom(other.internalGetLabels());
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+          bitField0_ = (bitField0_ & ~0x00000008);
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+      }
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
+      if (other.hasActiveLearningConfig()) {
+        mergeActiveLearningConfig(other.getActiveLearningConfig());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DataLabelingJob parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.DataLabelingJob) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the DataLabelingJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the DataLabelingJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for name.
+     */
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+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the DataLabelingJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the DataLabelingJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the DataLabelingJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the DataLabelingJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * Display name of a DataLabelingJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the DataLabelingJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * Display name of a DataLabelingJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
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+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the DataLabelingJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * Display name of a DataLabelingJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the DataLabelingJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * Display name of a DataLabelingJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the DataLabelingJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * Display name of a DataLabelingJob.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList datasets_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureDatasetsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        datasets_ = new com.google.protobuf.LazyStringArrayList(datasets_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return A list containing the datasets.
+     */
+    public com.google.protobuf.ProtocolStringList getDatasetsList() {
+      return datasets_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The count of datasets.
+     */
+    public int getDatasetsCount() {
+      return datasets_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param index The index of the element to return.
+     * @return The datasets at the given index.
+     */
+    public java.lang.String getDatasets(int index) {
+      return datasets_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the datasets at the given index.
+     */
+    public com.google.protobuf.ByteString getDatasetsBytes(int index) {
+      return datasets_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param index The index to set the value at.
+     * @param value The datasets to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDatasets(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureDatasetsIsMutable();
+      datasets_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The datasets to add.
+     * @return This builder for chaining.
+     */
+    public Builder addDatasets(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureDatasetsIsMutable();
+      datasets_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param values The datasets to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllDatasets(java.lang.Iterable<java.lang.String> values) {
+      ensureDatasetsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, datasets_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDatasets() {
+      datasets_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Dataset resource names. Right now we only support labeling from a single
+     * Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes of the datasets to add.
+     * @return This builder for chaining.
+     */
+    public Builder addDatasetsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureDatasetsIsMutable();
+      datasets_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> annotationLabels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetAnnotationLabels() {
+      if (annotationLabels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(
+            AnnotationLabelsDefaultEntryHolder.defaultEntry);
+      }
+      return annotationLabels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableAnnotationLabels() {
+      onChanged();
+      ;
+      if (annotationLabels_ == null) {
+        annotationLabels_ =
+            com.google.protobuf.MapField.newMapField(
+                AnnotationLabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!annotationLabels_.isMutable()) {
+        annotationLabels_ = annotationLabels_.copy();
+      }
+      return annotationLabels_;
+    }
+
+    public int getAnnotationLabelsCount() {
+      return internalGetAnnotationLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels to assign to annotations generated by this DataLabelingJob.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+     */
+    @java.lang.Override
+    public boolean containsAnnotationLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetAnnotationLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getAnnotationLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getAnnotationLabels() {
+      return getAnnotationLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels to assign to annotations generated by this DataLabelingJob.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getAnnotationLabelsMap() {
+      return internalGetAnnotationLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels to assign to annotations generated by this DataLabelingJob.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getAnnotationLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map =
+          internalGetAnnotationLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels to assign to annotations generated by this DataLabelingJob.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getAnnotationLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map =
+          internalGetAnnotationLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearAnnotationLabels() {
+      internalGetMutableAnnotationLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels to assign to annotations generated by this DataLabelingJob.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+     */
+    public Builder removeAnnotationLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableAnnotationLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableAnnotationLabels() {
+      return internalGetMutableAnnotationLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels to assign to annotations generated by this DataLabelingJob.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+     */
+    public Builder putAnnotationLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableAnnotationLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels to assign to annotations generated by this DataLabelingJob.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+     */
+    public Builder putAllAnnotationLabels(
+        java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableAnnotationLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private int labelerCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Number of labelers to work on each DataItem.
+     * </pre>
+     *
+     * <code>int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The labelerCount.
+     */
+    @java.lang.Override
+    public int getLabelerCount() {
+      return labelerCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Number of labelers to work on each DataItem.
+     * </pre>
+     *
+     * <code>int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The labelerCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setLabelerCount(int value) {
+
+      labelerCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Number of labelers to work on each DataItem.
+     * </pre>
+     *
+     * <code>int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearLabelerCount() {
+
+      labelerCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object instructionUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+     * shared with labelers, and provides detailed description on how to label
+     * DataItems in Datasets.
+     * </pre>
+     *
+     * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The instructionUri.
+     */
+    public java.lang.String getInstructionUri() {
+      java.lang.Object ref = instructionUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        instructionUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+     * shared with labelers, and provides detailed description on how to label
+     * DataItems in Datasets.
+     * </pre>
+     *
+     * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for instructionUri.
+     */
+    public com.google.protobuf.ByteString getInstructionUriBytes() {
+      java.lang.Object ref = instructionUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        instructionUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+     * shared with labelers, and provides detailed description on how to label
+     * DataItems in Datasets.
+     * </pre>
+     *
+     * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The instructionUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInstructionUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      instructionUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+     * shared with labelers, and provides detailed description on how to label
+     * DataItems in Datasets.
+     * </pre>
+     *
+     * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearInstructionUri() {
+
+      instructionUri_ = getDefaultInstance().getInstructionUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+     * shared with labelers, and provides detailed description on how to label
+     * DataItems in Datasets.
+     * </pre>
+     *
+     * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for instructionUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInstructionUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      instructionUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object inputsSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the
+     * config for a specific type of DataLabelingJob.
+     * The schema files that can be used here are found in the
+     * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+     * /schema/datalabelingjob/inputs/ folder.
+     * </pre>
+     *
+     * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The inputsSchemaUri.
+     */
+    public java.lang.String getInputsSchemaUri() {
+      java.lang.Object ref = inputsSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        inputsSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the
+     * config for a specific type of DataLabelingJob.
+     * The schema files that can be used here are found in the
+     * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+     * /schema/datalabelingjob/inputs/ folder.
+     * </pre>
+     *
+     * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for inputsSchemaUri.
+     */
+    public com.google.protobuf.ByteString getInputsSchemaUriBytes() {
+      java.lang.Object ref = inputsSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        inputsSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the
+     * config for a specific type of DataLabelingJob.
+     * The schema files that can be used here are found in the
+     * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+     * /schema/datalabelingjob/inputs/ folder.
+     * </pre>
+     *
+     * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The inputsSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInputsSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      inputsSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the
+     * config for a specific type of DataLabelingJob.
+     * The schema files that can be used here are found in the
+     * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+     * /schema/datalabelingjob/inputs/ folder.
+     * </pre>
+     *
+     * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearInputsSchemaUri() {
+
+      inputsSchemaUri_ = getDefaultInstance().getInputsSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the
+     * config for a specific type of DataLabelingJob.
+     * The schema files that can be used here are found in the
+     * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+     * /schema/datalabelingjob/inputs/ folder.
+     * </pre>
+     *
+     * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for inputsSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInputsSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      inputsSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Value inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The inputs.
+     */
+    public com.google.protobuf.Value getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null ? com.google.protobuf.Value.getDefaultInstance() : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder setInputs(com.google.protobuf.Value value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder setInputs(com.google.protobuf.Value.Builder builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder mergeInputs(com.google.protobuf.Value value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ = com.google.protobuf.Value.newBuilder(inputs_).mergeFrom(value).buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public com.google.protobuf.Value.Builder getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null ? com.google.protobuf.Value.getDefaultInstance() : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Input config parameters for the DataLabelingJob.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    private int state_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for state.
+     */
+    @java.lang.Override
+    public int getStateValue() {
+      return state_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setStateValue(int value) {
+
+      state_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The state.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.JobState getState() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.JobState result =
+          com.google.cloud.aiplatform.v1.JobState.valueOf(state_);
+      return result == null ? com.google.cloud.aiplatform.v1.JobState.UNRECOGNIZED : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setState(com.google.cloud.aiplatform.v1.JobState value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      state_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearState() {
+
+      state_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int labelingProgress_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
+     * indicating the percentage of DataItems that has been finished.
+     * </pre>
+     *
+     * <code>int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The labelingProgress.
+     */
+    @java.lang.Override
+    public int getLabelingProgress() {
+      return labelingProgress_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
+     * indicating the percentage of DataItems that has been finished.
+     * </pre>
+     *
+     * <code>int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The labelingProgress to set.
+     * @return This builder for chaining.
+     */
+    public Builder setLabelingProgress(int value) {
+
+      labelingProgress_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Current labeling job progress percentage scaled in interval [0, 100],
+     * indicating the percentage of DataItems that has been finished.
+     * </pre>
+     *
+     * <code>int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearLabelingProgress() {
+
+      labelingProgress_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private com.google.type.Money currentSpend_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.type.Money, com.google.type.Money.Builder, com.google.type.MoneyOrBuilder>
+        currentSpendBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the currentSpend field is set.
+     */
+    public boolean hasCurrentSpend() {
+      return currentSpendBuilder_ != null || currentSpend_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The currentSpend.
+     */
+    public com.google.type.Money getCurrentSpend() {
+      if (currentSpendBuilder_ == null) {
+        return currentSpend_ == null ? com.google.type.Money.getDefaultInstance() : currentSpend_;
+      } else {
+        return currentSpendBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCurrentSpend(com.google.type.Money value) {
+      if (currentSpendBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        currentSpend_ = value;
+        onChanged();
+      } else {
+        currentSpendBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCurrentSpend(com.google.type.Money.Builder builderForValue) {
+      if (currentSpendBuilder_ == null) {
+        currentSpend_ = builderForValue.build();
+        onChanged();
+      } else {
+        currentSpendBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCurrentSpend(com.google.type.Money value) {
+      if (currentSpendBuilder_ == null) {
+        if (currentSpend_ != null) {
+          currentSpend_ =
+              com.google.type.Money.newBuilder(currentSpend_).mergeFrom(value).buildPartial();
+        } else {
+          currentSpend_ = value;
+        }
+        onChanged();
+      } else {
+        currentSpendBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCurrentSpend() {
+      if (currentSpendBuilder_ == null) {
+        currentSpend_ = null;
+        onChanged();
+      } else {
+        currentSpend_ = null;
+        currentSpendBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.type.Money.Builder getCurrentSpendBuilder() {
+
+      onChanged();
+      return getCurrentSpendFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.type.MoneyOrBuilder getCurrentSpendOrBuilder() {
+      if (currentSpendBuilder_ != null) {
+        return currentSpendBuilder_.getMessageOrBuilder();
+      } else {
+        return currentSpend_ == null ? com.google.type.Money.getDefaultInstance() : currentSpend_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+     * date.
+     * </pre>
+     *
+     * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.type.Money, com.google.type.Money.Builder, com.google.type.MoneyOrBuilder>
+        getCurrentSpendFieldBuilder() {
+      if (currentSpendBuilder_ == null) {
+        currentSpendBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.type.Money,
+                com.google.type.Money.Builder,
+                com.google.type.MoneyOrBuilder>(
+                getCurrentSpend(), getParentForChildren(), isClean());
+        currentSpend_ = null;
+      }
+      return currentSpendBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this DataLabelingJob was updated most recently.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private com.google.rpc.Status error_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        errorBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return Whether the error field is set.
+     */
+    public boolean hasError() {
+      return errorBuilder_ != null || error_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The error.
+     */
+    public com.google.rpc.Status getError() {
+      if (errorBuilder_ == null) {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      } else {
+        return errorBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        error_ = value;
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status.Builder builderForValue) {
+      if (errorBuilder_ == null) {
+        error_ = builderForValue.build();
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder mergeError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (error_ != null) {
+          error_ = com.google.rpc.Status.newBuilder(error_).mergeFrom(value).buildPartial();
+        } else {
+          error_ = value;
+        }
+        onChanged();
+      } else {
+        errorBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder clearError() {
+      if (errorBuilder_ == null) {
+        error_ = null;
+        onChanged();
+      } else {
+        error_ = null;
+        errorBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.Status.Builder getErrorBuilder() {
+
+      onChanged();
+      return getErrorFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+      if (errorBuilder_ != null) {
+        return errorBuilder_.getMessageOrBuilder();
+      } else {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. DataLabelingJob errors. It is only populated when job's state is
+     * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        getErrorFieldBuilder() {
+      if (errorBuilder_ == null) {
+        errorBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.rpc.Status,
+                com.google.rpc.Status.Builder,
+                com.google.rpc.StatusOrBuilder>(getError(), getParentForChildren(), isClean());
+        error_ = null;
+      }
+      return errorBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your DataLabelingJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each DataLabelingJob:
+     * * "aiplatform.googleapis.com/schema": output only, its value is the
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your DataLabelingJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each DataLabelingJob:
+     * * "aiplatform.googleapis.com/schema": output only, its value is the
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your DataLabelingJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each DataLabelingJob:
+     * * "aiplatform.googleapis.com/schema": output only, its value is the
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your DataLabelingJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each DataLabelingJob:
+     * * "aiplatform.googleapis.com/schema": output only, its value is the
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your DataLabelingJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each DataLabelingJob:
+     * * "aiplatform.googleapis.com/schema": output only, its value is the
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your DataLabelingJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each DataLabelingJob:
+     * * "aiplatform.googleapis.com/schema": output only, its value is the
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your DataLabelingJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each DataLabelingJob:
+     * * "aiplatform.googleapis.com/schema": output only, its value is the
+     *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 11;</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList specialistPools_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureSpecialistPoolsIsMutable() {
+      if (!((bitField0_ & 0x00000008) != 0)) {
+        specialistPools_ = new com.google.protobuf.LazyStringArrayList(specialistPools_);
+        bitField0_ |= 0x00000008;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @return A list containing the specialistPools.
+     */
+    public com.google.protobuf.ProtocolStringList getSpecialistPoolsList() {
+      return specialistPools_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @return The count of specialistPools.
+     */
+    public int getSpecialistPoolsCount() {
+      return specialistPools_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The specialistPools at the given index.
+     */
+    public java.lang.String getSpecialistPools(int index) {
+      return specialistPools_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the specialistPools at the given index.
+     */
+    public com.google.protobuf.ByteString getSpecialistPoolsBytes(int index) {
+      return specialistPools_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The specialistPools to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSpecialistPools(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSpecialistPoolsIsMutable();
+      specialistPools_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @param value The specialistPools to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSpecialistPools(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSpecialistPoolsIsMutable();
+      specialistPools_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @param values The specialistPools to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllSpecialistPools(java.lang.Iterable<java.lang.String> values) {
+      ensureSpecialistPoolsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, specialistPools_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSpecialistPools() {
+      specialistPools_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000008);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The SpecialistPools' resource names associated with this job.
+     * </pre>
+     *
+     * <code>repeated string specialist_pools = 16;</code>
+     *
+     * @param value The bytes of the specialistPools to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSpecialistPoolsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureSpecialistPoolsIsMutable();
+      specialistPools_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.ActiveLearningConfig activeLearningConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ActiveLearningConfig,
+            com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder,
+            com.google.cloud.aiplatform.v1.ActiveLearningConfigOrBuilder>
+        activeLearningConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     *
+     * @return Whether the activeLearningConfig field is set.
+     */
+    public boolean hasActiveLearningConfig() {
+      return activeLearningConfigBuilder_ != null || activeLearningConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     *
+     * @return The activeLearningConfig.
+     */
+    public com.google.cloud.aiplatform.v1.ActiveLearningConfig getActiveLearningConfig() {
+      if (activeLearningConfigBuilder_ == null) {
+        return activeLearningConfig_ == null
+            ? com.google.cloud.aiplatform.v1.ActiveLearningConfig.getDefaultInstance()
+            : activeLearningConfig_;
+      } else {
+        return activeLearningConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     */
+    public Builder setActiveLearningConfig(
+        com.google.cloud.aiplatform.v1.ActiveLearningConfig value) {
+      if (activeLearningConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        activeLearningConfig_ = value;
+        onChanged();
+      } else {
+        activeLearningConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     */
+    public Builder setActiveLearningConfig(
+        com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder builderForValue) {
+      if (activeLearningConfigBuilder_ == null) {
+        activeLearningConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        activeLearningConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     */
+    public Builder mergeActiveLearningConfig(
+        com.google.cloud.aiplatform.v1.ActiveLearningConfig value) {
+      if (activeLearningConfigBuilder_ == null) {
+        if (activeLearningConfig_ != null) {
+          activeLearningConfig_ =
+              com.google.cloud.aiplatform.v1.ActiveLearningConfig.newBuilder(activeLearningConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          activeLearningConfig_ = value;
+        }
+        onChanged();
+      } else {
+        activeLearningConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     */
+    public Builder clearActiveLearningConfig() {
+      if (activeLearningConfigBuilder_ == null) {
+        activeLearningConfig_ = null;
+        onChanged();
+      } else {
+        activeLearningConfig_ = null;
+        activeLearningConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder
+        getActiveLearningConfigBuilder() {
+
+      onChanged();
+      return getActiveLearningConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ActiveLearningConfigOrBuilder
+        getActiveLearningConfigOrBuilder() {
+      if (activeLearningConfigBuilder_ != null) {
+        return activeLearningConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return activeLearningConfig_ == null
+            ? com.google.cloud.aiplatform.v1.ActiveLearningConfig.getDefaultInstance()
+            : activeLearningConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Parameters that configure the active learning pipeline. Active learning will
+     * label the data incrementally via several iterations. For every iteration,
+     * it will select a batch of data based on the sampling strategy.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ActiveLearningConfig,
+            com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder,
+            com.google.cloud.aiplatform.v1.ActiveLearningConfigOrBuilder>
+        getActiveLearningConfigFieldBuilder() {
+      if (activeLearningConfigBuilder_ == null) {
+        activeLearningConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ActiveLearningConfig,
+                com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder,
+                com.google.cloud.aiplatform.v1.ActiveLearningConfigOrBuilder>(
+                getActiveLearningConfig(), getParentForChildren(), isClean());
+        activeLearningConfig_ = null;
+      }
+      return activeLearningConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DataLabelingJob)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DataLabelingJob)
+  private static final com.google.cloud.aiplatform.v1.DataLabelingJob DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DataLabelingJob();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DataLabelingJob getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DataLabelingJob> PARSER =
+      new com.google.protobuf.AbstractParser<DataLabelingJob>() {
+        @java.lang.Override
+        public DataLabelingJob parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DataLabelingJob(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DataLabelingJob> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DataLabelingJob> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DataLabelingJob getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobName.java
new file mode 100644
index 000000000..079c32a7f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobName.java
@@ -0,0 +1,227 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class DataLabelingJobName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_DATA_LABELING_JOB =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String dataLabelingJob;
+
+  @Deprecated
+  protected DataLabelingJobName() {
+    project = null;
+    location = null;
+    dataLabelingJob = null;
+  }
+
+  private DataLabelingJobName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    dataLabelingJob = Preconditions.checkNotNull(builder.getDataLabelingJob());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getDataLabelingJob() {
+    return dataLabelingJob;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static DataLabelingJobName of(String project, String location, String dataLabelingJob) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataLabelingJob(dataLabelingJob)
+        .build();
+  }
+
+  public static String format(String project, String location, String dataLabelingJob) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataLabelingJob(dataLabelingJob)
+        .build()
+        .toString();
+  }
+
+  public static DataLabelingJobName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_DATA_LABELING_JOB.validatedMatch(
+            formattedString, "DataLabelingJobName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("data_labeling_job"));
+  }
+
+  public static List<DataLabelingJobName> parseList(List<String> formattedStrings) {
+    List<DataLabelingJobName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<DataLabelingJobName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (DataLabelingJobName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_DATA_LABELING_JOB.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (dataLabelingJob != null) {
+            fieldMapBuilder.put("data_labeling_job", dataLabelingJob);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_DATA_LABELING_JOB.instantiate(
+        "project", project, "location", location, "data_labeling_job", dataLabelingJob);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      DataLabelingJobName that = ((DataLabelingJobName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.dataLabelingJob, that.dataLabelingJob);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(dataLabelingJob);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String dataLabelingJob;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getDataLabelingJob() {
+      return dataLabelingJob;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setDataLabelingJob(String dataLabelingJob) {
+      this.dataLabelingJob = dataLabelingJob;
+      return this;
+    }
+
+    private Builder(DataLabelingJobName dataLabelingJobName) {
+      project = dataLabelingJobName.project;
+      location = dataLabelingJobName.location;
+      dataLabelingJob = dataLabelingJobName.dataLabelingJob;
+    }
+
+    public DataLabelingJobName build() {
+      return new DataLabelingJobName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobOrBuilder.java
new file mode 100644
index 000000000..71960ba4f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobOrBuilder.java
@@ -0,0 +1,775 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DataLabelingJobOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DataLabelingJob)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the DataLabelingJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the DataLabelingJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the DataLabelingJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * Display name of a DataLabelingJob.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the DataLabelingJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * Display name of a DataLabelingJob.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Dataset resource names. Right now we only support labeling from a single
+   * Dataset.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return A list containing the datasets.
+   */
+  java.util.List<java.lang.String> getDatasetsList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Dataset resource names. Right now we only support labeling from a single
+   * Dataset.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The count of datasets.
+   */
+  int getDatasetsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Dataset resource names. Right now we only support labeling from a single
+   * Dataset.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The datasets at the given index.
+   */
+  java.lang.String getDatasets(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. Dataset resource names. Right now we only support labeling from a single
+   * Dataset.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the datasets at the given index.
+   */
+  com.google.protobuf.ByteString getDatasetsBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  int getAnnotationLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  boolean containsAnnotationLabels(java.lang.String key);
+  /** Use {@link #getAnnotationLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getAnnotationLabels();
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getAnnotationLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  java.lang.String getAnnotationLabelsOrDefault(
+      java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * Labels to assign to annotations generated by this DataLabelingJob.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; annotation_labels = 12;</code>
+   */
+  java.lang.String getAnnotationLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Number of labelers to work on each DataItem.
+   * </pre>
+   *
+   * <code>int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The labelerCount.
+   */
+  int getLabelerCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+   * shared with labelers, and provides detailed description on how to label
+   * DataItems in Datasets.
+   * </pre>
+   *
+   * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The instructionUri.
+   */
+  java.lang.String getInstructionUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+   * shared with labelers, and provides detailed description on how to label
+   * DataItems in Datasets.
+   * </pre>
+   *
+   * <code>string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for instructionUri.
+   */
+  com.google.protobuf.ByteString getInstructionUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing the
+   * config for a specific type of DataLabelingJob.
+   * The schema files that can be used here are found in the
+   * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+   * /schema/datalabelingjob/inputs/ folder.
+   * </pre>
+   *
+   * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The inputsSchemaUri.
+   */
+  java.lang.String getInputsSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing the
+   * config for a specific type of DataLabelingJob.
+   * The schema files that can be used here are found in the
+   * https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+   * /schema/datalabelingjob/inputs/ folder.
+   * </pre>
+   *
+   * <code>string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for inputsSchemaUri.
+   */
+  com.google.protobuf.ByteString getInputsSchemaUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input config parameters for the DataLabelingJob.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input config parameters for the DataLabelingJob.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The inputs.
+   */
+  com.google.protobuf.Value getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Input config parameters for the DataLabelingJob.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];</code>
+   */
+  com.google.protobuf.ValueOrBuilder getInputsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  int getStateValue();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  com.google.cloud.aiplatform.v1.JobState getState();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Current labeling job progress percentage scaled in interval [0, 100],
+   * indicating the percentage of DataItems that has been finished.
+   * </pre>
+   *
+   * <code>int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The labelingProgress.
+   */
+  int getLabelingProgress();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+   * date.
+   * </pre>
+   *
+   * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the currentSpend field is set.
+   */
+  boolean hasCurrentSpend();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+   * date.
+   * </pre>
+   *
+   * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The currentSpend.
+   */
+  com.google.type.Money getCurrentSpend();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+   * date.
+   * </pre>
+   *
+   * <code>.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.type.MoneyOrBuilder getCurrentSpendOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was updated most recently.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was updated most recently.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this DataLabelingJob was updated most recently.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. DataLabelingJob errors. It is only populated when job's state is
+   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  boolean hasError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. DataLabelingJob errors. It is only populated when job's state is
+   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  com.google.rpc.Status getError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. DataLabelingJob errors. It is only populated when job's state is
+   * `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  com.google.rpc.StatusOrBuilder getErrorOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your DataLabelingJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each DataLabelingJob:
+   * * "aiplatform.googleapis.com/schema": output only, its value is the
+   *   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 11;</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * The SpecialistPools' resource names associated with this job.
+   * </pre>
+   *
+   * <code>repeated string specialist_pools = 16;</code>
+   *
+   * @return A list containing the specialistPools.
+   */
+  java.util.List<java.lang.String> getSpecialistPoolsList();
+  /**
+   *
+   *
+   * <pre>
+   * The SpecialistPools' resource names associated with this job.
+   * </pre>
+   *
+   * <code>repeated string specialist_pools = 16;</code>
+   *
+   * @return The count of specialistPools.
+   */
+  int getSpecialistPoolsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The SpecialistPools' resource names associated with this job.
+   * </pre>
+   *
+   * <code>repeated string specialist_pools = 16;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The specialistPools at the given index.
+   */
+  java.lang.String getSpecialistPools(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The SpecialistPools' resource names associated with this job.
+   * </pre>
+   *
+   * <code>repeated string specialist_pools = 16;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the specialistPools at the given index.
+   */
+  com.google.protobuf.ByteString getSpecialistPoolsBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 20;</code>
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure the active learning pipeline. Active learning will
+   * label the data incrementally via several iterations. For every iteration,
+   * it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+   *
+   * @return Whether the activeLearningConfig field is set.
+   */
+  boolean hasActiveLearningConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure the active learning pipeline. Active learning will
+   * label the data incrementally via several iterations. For every iteration,
+   * it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+   *
+   * @return The activeLearningConfig.
+   */
+  com.google.cloud.aiplatform.v1.ActiveLearningConfig getActiveLearningConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure the active learning pipeline. Active learning will
+   * label the data incrementally via several iterations. For every iteration,
+   * it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ActiveLearningConfig active_learning_config = 21;</code>
+   */
+  com.google.cloud.aiplatform.v1.ActiveLearningConfigOrBuilder getActiveLearningConfigOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobProto.java
new file mode 100644
index 000000000..1b8df1f4c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DataLabelingJobProto.java
@@ -0,0 +1,237 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class DataLabelingJobProto {
+  private DataLabelingJobProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DataLabelingJob_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DataLabelingJob_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DataLabelingJob_AnnotationLabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DataLabelingJob_AnnotationLabelsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DataLabelingJob_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DataLabelingJob_LabelsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_SampleConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_SampleConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_TrainingConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_TrainingConfig_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n2google/cloud/aiplatform/v1/data_labeli"
+          + "ng_job.proto\022\032google.cloud.aiplatform.v1"
+          + "\032\037google/api/field_behavior.proto\032\031googl"
+          + "e/api/resource.proto\0321google/cloud/aipla"
+          + "tform/v1/accelerator_type.proto\0320google/"
+          + "cloud/aiplatform/v1/encryption_spec.prot"
+          + "o\032*google/cloud/aiplatform/v1/job_state."
+          + "proto\0320google/cloud/aiplatform/v1/specia"
+          + "list_pool.proto\032\034google/protobuf/struct."
+          + "proto\032\037google/protobuf/timestamp.proto\032\027"
+          + "google/rpc/status.proto\032\027google/type/mon"
+          + "ey.proto\032\034google/api/annotations.proto\"\337"
+          + "\010\n\017DataLabelingJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n"
+          + "\014display_name\030\002 \001(\tB\003\340A\002\022;\n\010datasets\030\003 \003"
+          + "(\tB)\340A\002\372A#\n!aiplatform.googleapis.com/Da"
+          + "taset\022\\\n\021annotation_labels\030\014 \003(\0132A.googl"
+          + "e.cloud.aiplatform.v1.DataLabelingJob.An"
+          + "notationLabelsEntry\022\032\n\rlabeler_count\030\004 \001"
+          + "(\005B\003\340A\002\022\034\n\017instruction_uri\030\005 \001(\tB\003\340A\002\022\036\n"
+          + "\021inputs_schema_uri\030\006 \001(\tB\003\340A\002\022+\n\006inputs\030"
+          + "\007 \001(\0132\026.google.protobuf.ValueB\003\340A\002\0228\n\005st"
+          + "ate\030\010 \001(\0162$.google.cloud.aiplatform.v1.J"
+          + "obStateB\003\340A\003\022\036\n\021labeling_progress\030\r \001(\005B"
+          + "\003\340A\003\022.\n\rcurrent_spend\030\016 \001(\0132\022.google.typ"
+          + "e.MoneyB\003\340A\003\0224\n\013create_time\030\t \001(\0132\032.goog"
+          + "le.protobuf.TimestampB\003\340A\003\0224\n\013update_tim"
+          + "e\030\n \001(\0132\032.google.protobuf.TimestampB\003\340A\003"
+          + "\022&\n\005error\030\026 \001(\0132\022.google.rpc.StatusB\003\340A\003"
+          + "\022G\n\006labels\030\013 \003(\01327.google.cloud.aiplatfo"
+          + "rm.v1.DataLabelingJob.LabelsEntry\022\030\n\020spe"
+          + "cialist_pools\030\020 \003(\t\022C\n\017encryption_spec\030\024"
+          + " \001(\0132*.google.cloud.aiplatform.v1.Encryp"
+          + "tionSpec\022P\n\026active_learning_config\030\025 \001(\013"
+          + "20.google.cloud.aiplatform.v1.ActiveLear"
+          + "ningConfig\0327\n\025AnnotationLabelsEntry\022\013\n\003k"
+          + "ey\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\032-\n\013LabelsEnt"
+          + "ry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:|\352Ay\n"
+          + ")aiplatform.googleapis.com/DataLabelingJ"
+          + "ob\022Lprojects/{project}/locations/{locati"
+          + "on}/dataLabelingJobs/{data_labeling_job}"
+          + "\"\370\001\n\024ActiveLearningConfig\022\035\n\023max_data_it"
+          + "em_count\030\001 \001(\003H\000\022\"\n\030max_data_item_percen"
+          + "tage\030\002 \001(\005H\000\022?\n\rsample_config\030\003 \001(\0132(.go"
+          + "ogle.cloud.aiplatform.v1.SampleConfig\022C\n"
+          + "\017training_config\030\004 \001(\0132*.google.cloud.ai"
+          + "platform.v1.TrainingConfigB\027\n\025human_labe"
+          + "ling_budget\"\270\002\n\014SampleConfig\022)\n\037initial_"
+          + "batch_sample_percentage\030\001 \001(\005H\000\022+\n!follo"
+          + "wing_batch_sample_percentage\030\003 \001(\005H\001\022P\n\017"
+          + "sample_strategy\030\005 \001(\01627.google.cloud.aip"
+          + "latform.v1.SampleConfig.SampleStrategy\"B"
+          + "\n\016SampleStrategy\022\037\n\033SAMPLE_STRATEGY_UNSP"
+          + "ECIFIED\020\000\022\017\n\013UNCERTAINTY\020\001B\033\n\031initial_ba"
+          + "tch_sample_sizeB\035\n\033following_batch_sampl"
+          + "e_size\"6\n\016TrainingConfig\022$\n\034timeout_trai"
+          + "ning_milli_hours\030\001 \001(\003B~\n\036com.google.clo"
+          + "ud.aiplatform.v1B\024DataLabelingJobProtoP\001"
+          + "ZDgoogle.golang.org/genproto/googleapis/"
+          + "cloud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.AcceleratorTypeProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.SpecialistPoolProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
+              com.google.type.MoneyProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_DataLabelingJob_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_DataLabelingJob_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DataLabelingJob_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "Datasets",
+              "AnnotationLabels",
+              "LabelerCount",
+              "InstructionUri",
+              "InputsSchemaUri",
+              "Inputs",
+              "State",
+              "LabelingProgress",
+              "CurrentSpend",
+              "CreateTime",
+              "UpdateTime",
+              "Error",
+              "Labels",
+              "SpecialistPools",
+              "EncryptionSpec",
+              "ActiveLearningConfig",
+            });
+    internal_static_google_cloud_aiplatform_v1_DataLabelingJob_AnnotationLabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_DataLabelingJob_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_DataLabelingJob_AnnotationLabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DataLabelingJob_AnnotationLabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_DataLabelingJob_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_DataLabelingJob_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1_DataLabelingJob_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DataLabelingJob_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ActiveLearningConfig_descriptor,
+            new java.lang.String[] {
+              "MaxDataItemCount",
+              "MaxDataItemPercentage",
+              "SampleConfig",
+              "TrainingConfig",
+              "HumanLabelingBudget",
+            });
+    internal_static_google_cloud_aiplatform_v1_SampleConfig_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_SampleConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_SampleConfig_descriptor,
+            new java.lang.String[] {
+              "InitialBatchSamplePercentage",
+              "FollowingBatchSamplePercentage",
+              "SampleStrategy",
+              "InitialBatchSampleSize",
+              "FollowingBatchSampleSize",
+            });
+    internal_static_google_cloud_aiplatform_v1_TrainingConfig_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_TrainingConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_TrainingConfig_descriptor,
+            new java.lang.String[] {
+              "TimeoutTrainingMilliHours",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.AcceleratorTypeProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.SpecialistPoolProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
+    com.google.type.MoneyProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Dataset.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Dataset.java
new file mode 100644
index 000000000..e2e0e62a5
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Dataset.java
@@ -0,0 +1,2796 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A collection of DataItems and Annotations on them.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.Dataset}
+ */
+public final class Dataset extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Dataset)
+    DatasetOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Dataset.newBuilder() to construct.
+  private Dataset(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private Dataset() {
+    name_ = "";
+    displayName_ = "";
+    metadataSchemaUri_ = "";
+    etag_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new Dataset();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Dataset(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              metadataSchemaUri_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              etag_ = s;
+              break;
+            }
+          case 58:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 66:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (metadata_ != null) {
+                subBuilder = metadata_.toBuilder();
+              }
+              metadata_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metadata_);
+                metadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 90:
+            {
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EncryptionSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetProto
+        .internal_static_google_cloud_aiplatform_v1_Dataset_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 7:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetProto
+        .internal_static_google_cloud_aiplatform_v1_Dataset_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.Dataset.class,
+            com.google.cloud.aiplatform.v1.Dataset.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the Dataset.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the Dataset.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the Dataset.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the Dataset.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int METADATA_SCHEMA_URI_FIELD_NUMBER = 3;
+  private volatile java.lang.Object metadataSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+   * information about the Dataset.
+   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * </pre>
+   *
+   * <code>string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The metadataSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getMetadataSchemaUri() {
+    java.lang.Object ref = metadataSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      metadataSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+   * information about the Dataset.
+   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * </pre>
+   *
+   * <code>string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for metadataSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
+    java.lang.Object ref = metadataSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      metadataSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int METADATA_FIELD_NUMBER = 8;
+  private com.google.protobuf.Value metadata_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Additional information about the Dataset.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetadata() {
+    return metadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Additional information about the Dataset.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The metadata.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getMetadata() {
+    return metadata_ == null ? com.google.protobuf.Value.getDefaultInstance() : metadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Additional information about the Dataset.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
+    return getMetadata();
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 4;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 5;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int ETAG_FIELD_NUMBER = 6;
+  private volatile java.lang.Object etag_;
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 6;</code>
+   *
+   * @return The etag.
+   */
+  @java.lang.Override
+  public java.lang.String getEtag() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      etag_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 6;</code>
+   *
+   * @return The bytes for etag.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEtagBytes() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      etag_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 7;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.DatasetProto
+                .internal_static_google_cloud_aiplatform_v1_Dataset_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 11;
+  private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (!getMetadataSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, metadataSchemaUri_);
+    }
+    if (createTime_ != null) {
+      output.writeMessage(4, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(5, getUpdateTime());
+    }
+    if (!getEtagBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 6, etag_);
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 7);
+    if (metadata_ != null) {
+      output.writeMessage(8, getMetadata());
+    }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(11, getEncryptionSpec());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (!getMetadataSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, metadataSchemaUri_);
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getUpdateTime());
+    }
+    if (!getEtagBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, etag_);
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.String> entry :
+        internalGetLabels().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+          LabelsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, labels__);
+    }
+    if (metadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getMetadata());
+    }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getEncryptionSpec());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.Dataset)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.Dataset other = (com.google.cloud.aiplatform.v1.Dataset) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (!getMetadataSchemaUri().equals(other.getMetadataSchemaUri())) return false;
+    if (hasMetadata() != other.hasMetadata()) return false;
+    if (hasMetadata()) {
+      if (!getMetadata().equals(other.getMetadata())) return false;
+    }
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasUpdateTime() != other.hasUpdateTime()) return false;
+    if (hasUpdateTime()) {
+      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
+    }
+    if (!getEtag().equals(other.getEtag())) return false;
+    if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
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+    /**
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+     *
+     * <pre>
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+     *
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+     *
+     * @param value The name to set.
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+    /**
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+     * <pre>
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+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+     * @return This builder for chaining.
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+      return this;
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+    /**
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+     *
+     * <pre>
+     * Output only. The resource name of the Dataset.
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+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
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+      name_ = value;
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+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the Dataset.
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+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the Dataset.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the Dataset.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
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+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
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+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
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+
+      displayName_ = value;
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the Dataset.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
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+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
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+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the Dataset.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
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+      displayName_ = value;
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+    /**
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+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Dataset.
+     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
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+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Dataset.
+     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];</code>
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+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Dataset.
+     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];</code>
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+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Dataset.
+     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMetadataSchemaUri() {
+
+      metadataSchemaUri_ = getDefaultInstance().getMetadataSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Dataset.
+     * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for metadataSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMetadataSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      metadataSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Value metadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        metadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return Whether the metadata field is set.
+     */
+    public boolean hasMetadata() {
+      return metadataBuilder_ != null || metadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The metadata.
+     */
+    public com.google.protobuf.Value getMetadata() {
+      if (metadataBuilder_ == null) {
+        return metadata_ == null ? com.google.protobuf.Value.getDefaultInstance() : metadata_;
+      } else {
+        return metadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder setMetadata(com.google.protobuf.Value value) {
+      if (metadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metadata_ = value;
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder setMetadata(com.google.protobuf.Value.Builder builderForValue) {
+      if (metadataBuilder_ == null) {
+        metadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder mergeMetadata(com.google.protobuf.Value value) {
+      if (metadataBuilder_ == null) {
+        if (metadata_ != null) {
+          metadata_ =
+              com.google.protobuf.Value.newBuilder(metadata_).mergeFrom(value).buildPartial();
+        } else {
+          metadata_ = value;
+        }
+        onChanged();
+      } else {
+        metadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public Builder clearMetadata() {
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+        onChanged();
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public com.google.protobuf.Value.Builder getMetadataBuilder() {
+
+      onChanged();
+      return getMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
+      if (metadataBuilder_ != null) {
+        return metadataBuilder_.getMessageOrBuilder();
+      } else {
+        return metadata_ == null ? com.google.protobuf.Value.getDefaultInstance() : metadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Additional information about the Dataset.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getMetadataFieldBuilder() {
+      if (metadataBuilder_ == null) {
+        metadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getMetadata(), getParentForChildren(), isClean());
+        metadata_ = null;
+      }
+      return metadataBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Dataset was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private java.lang.Object etag_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @return The etag.
+     */
+    public java.lang.String getEtag() {
+      java.lang.Object ref = etag_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        etag_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @return The bytes for etag.
+     */
+    public com.google.protobuf.ByteString getEtagBytes() {
+      java.lang.Object ref = etag_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        etag_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @param value The etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtag(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEtag() {
+
+      etag_ = getDefaultInstance().getEtag();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @param value The bytes for etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtagBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Datasets.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Dataset (System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Dataset:
+     * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Datasets.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Dataset (System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Dataset:
+     * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Datasets.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Dataset (System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Dataset:
+     * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Datasets.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Dataset (System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Dataset:
+     * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Datasets.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Dataset (System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Dataset:
+     * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Datasets.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Dataset (System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Dataset:
+     * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Datasets.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * No more than 64 user labels can be associated with one Dataset (System
+     * labels are excluded).
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+     * and are immutable. Following system labels exist for each Dataset:
+     * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+     *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Dataset)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Dataset)
+  private static final com.google.cloud.aiplatform.v1.Dataset DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Dataset();
+  }
+
+  public static com.google.cloud.aiplatform.v1.Dataset getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<Dataset> PARSER =
+      new com.google.protobuf.AbstractParser<Dataset>() {
+        @java.lang.Override
+        public Dataset parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Dataset(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<Dataset> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<Dataset> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Dataset getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetName.java
new file mode 100644
index 000000000..67e9a2048
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetName.java
@@ -0,0 +1,223 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class DatasetName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_DATASET =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/datasets/{dataset}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String dataset;
+
+  @Deprecated
+  protected DatasetName() {
+    project = null;
+    location = null;
+    dataset = null;
+  }
+
+  private DatasetName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    dataset = Preconditions.checkNotNull(builder.getDataset());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getDataset() {
+    return dataset;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static DatasetName of(String project, String location, String dataset) {
+    return newBuilder().setProject(project).setLocation(location).setDataset(dataset).build();
+  }
+
+  public static String format(String project, String location, String dataset) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setDataset(dataset)
+        .build()
+        .toString();
+  }
+
+  public static DatasetName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_DATASET.validatedMatch(
+            formattedString, "DatasetName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("dataset"));
+  }
+
+  public static List<DatasetName> parseList(List<String> formattedStrings) {
+    List<DatasetName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<DatasetName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (DatasetName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_DATASET.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (dataset != null) {
+            fieldMapBuilder.put("dataset", dataset);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_DATASET.instantiate(
+        "project", project, "location", location, "dataset", dataset);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      DatasetName that = ((DatasetName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.dataset, that.dataset);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(dataset);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/datasets/{dataset}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String dataset;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getDataset() {
+      return dataset;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setDataset(String dataset) {
+      this.dataset = dataset;
+      return this;
+    }
+
+    private Builder(DatasetName datasetName) {
+      project = datasetName.project;
+      location = datasetName.location;
+      dataset = datasetName.dataset;
+    }
+
+    public DatasetName build() {
+      return new DatasetName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetOrBuilder.java
new file mode 100644
index 000000000..58a5bebb8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetOrBuilder.java
@@ -0,0 +1,392 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DatasetOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Dataset)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the Dataset.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the Dataset.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the Dataset.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the Dataset.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+   * information about the Dataset.
+   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * </pre>
+   *
+   * <code>string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The metadataSchemaUri.
+   */
+  java.lang.String getMetadataSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing additional
+   * information about the Dataset.
+   * The schema is defined as an OpenAPI 3.0.2 Schema Object.
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/metadata/.
+   * </pre>
+   *
+   * <code>string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for metadataSchemaUri.
+   */
+  com.google.protobuf.ByteString getMetadataSchemaUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Additional information about the Dataset.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  boolean hasMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Additional information about the Dataset.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The metadata.
+   */
+  com.google.protobuf.Value getMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Additional information about the Dataset.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];</code>
+   */
+  com.google.protobuf.ValueOrBuilder getMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Dataset was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 6;</code>
+   *
+   * @return The etag.
+   */
+  java.lang.String getEtag();
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 6;</code>
+   *
+   * @return The bytes for etag.
+   */
+  com.google.protobuf.ByteString getEtagBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Datasets.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * No more than 64 user labels can be associated with one Dataset (System
+   * labels are excluded).
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+   * and are immutable. Following system labels exist for each Dataset:
+   * * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+   *   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;</code>
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetProto.java
new file mode 100644
index 000000000..d95aa6499
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetProto.java
@@ -0,0 +1,173 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class DatasetProto {
+  private DatasetProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Dataset_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Dataset_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Dataset_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Dataset_LabelsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ImportDataConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ImportDataConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ImportDataConfig_DataItemLabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ImportDataConfig_DataItemLabelsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ExportDataConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ExportDataConfig_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n(google/cloud/aiplatform/v1/dataset.pro"
+          + "to\022\032google.cloud.aiplatform.v1\032\037google/a"
+          + "pi/field_behavior.proto\032\031google/api/reso"
+          + "urce.proto\0320google/cloud/aiplatform/v1/e"
+          + "ncryption_spec.proto\032#google/cloud/aipla"
+          + "tform/v1/io.proto\032\034google/protobuf/struc"
+          + "t.proto\032\037google/protobuf/timestamp.proto"
+          + "\032\034google/api/annotations.proto\"\233\004\n\007Datas"
+          + "et\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 "
+          + "\001(\tB\003\340A\002\022 \n\023metadata_schema_uri\030\003 \001(\tB\003\340"
+          + "A\002\022-\n\010metadata\030\010 \001(\0132\026.google.protobuf.V"
+          + "alueB\003\340A\002\0224\n\013create_time\030\004 \001(\0132\032.google."
+          + "protobuf.TimestampB\003\340A\003\0224\n\013update_time\030\005"
+          + " \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022\014\n"
+          + "\004etag\030\006 \001(\t\022?\n\006labels\030\007 \003(\0132/.google.clo"
+          + "ud.aiplatform.v1.Dataset.LabelsEntry\022C\n\017"
+          + "encryption_spec\030\013 \001(\0132*.google.cloud.aip"
+          + "latform.v1.EncryptionSpec\032-\n\013LabelsEntry"
+          + "\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:b\352A_\n!a"
+          + "iplatform.googleapis.com/Dataset\022:projec"
+          + "ts/{project}/locations/{location}/datase"
+          + "ts/{dataset}\"\214\002\n\020ImportDataConfig\022;\n\ngcs"
+          + "_source\030\001 \001(\0132%.google.cloud.aiplatform."
+          + "v1.GcsSourceH\000\022Z\n\020data_item_labels\030\002 \003(\013"
+          + "2@.google.cloud.aiplatform.v1.ImportData"
+          + "Config.DataItemLabelsEntry\022\036\n\021import_sch"
+          + "ema_uri\030\004 \001(\tB\003\340A\002\0325\n\023DataItemLabelsEntr"
+          + "y\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001B\010\n\006sou"
+          + "rce\"\204\001\n\020ExportDataConfig\022E\n\017gcs_destinat"
+          + "ion\030\001 \001(\0132*.google.cloud.aiplatform.v1.G"
+          + "csDestinationH\000\022\032\n\022annotations_filter\030\002 "
+          + "\001(\tB\r\n\013destinationBv\n\036com.google.cloud.a"
+          + "iplatform.v1B\014DatasetProtoP\001ZDgoogle.gol"
+          + "ang.org/genproto/googleapis/cloud/aiplat"
+          + "form/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.IoProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_Dataset_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Dataset_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Dataset_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "MetadataSchemaUri",
+              "Metadata",
+              "CreateTime",
+              "UpdateTime",
+              "Etag",
+              "Labels",
+              "EncryptionSpec",
+            });
+    internal_static_google_cloud_aiplatform_v1_Dataset_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_Dataset_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Dataset_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Dataset_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_ImportDataConfig_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_ImportDataConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ImportDataConfig_descriptor,
+            new java.lang.String[] {
+              "GcsSource", "DataItemLabels", "ImportSchemaUri", "Source",
+            });
+    internal_static_google_cloud_aiplatform_v1_ImportDataConfig_DataItemLabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_ImportDataConfig_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_ImportDataConfig_DataItemLabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ImportDataConfig_DataItemLabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_ExportDataConfig_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_ExportDataConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ExportDataConfig_descriptor,
+            new java.lang.String[] {
+              "GcsDestination", "AnnotationsFilter", "Destination",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.IoProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceProto.java
new file mode 100644
index 000000000..9658852b1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceProto.java
@@ -0,0 +1,426 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class DatasetServiceProto {
+  private DatasetServiceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CreateDatasetRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CreateDatasetRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CreateDatasetOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CreateDatasetOperationMetadata_fieldAccessorTable;
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+
+  static {
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+          + "google/api/annotations.proto\032\027google/api"
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+          + "cations/*/datasets/*}\332A\004name\312A0\n\025google."
+          + "protobuf.Empty\022\027DeleteOperationMetadata\022"
+          + "\345\001\n\nImportData\022-.google.cloud.aiplatform"
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+          + "ng.Operation\"\210\001\202\323\344\223\0028\"3/v1/{name=project"
+          + "s/*/locations/*/datasets/*}:import:\001*\332A\023"
+          + "name,import_configs\312A1\n\022ImportDataRespon"
+          + "se\022\033ImportDataOperationMetadata\022\344\001\n\nExpo"
+          + "rtData\022-.google.cloud.aiplatform.v1.Expo"
+          + "rtDataRequest\032\035.google.longrunning.Opera"
+          + "tion\"\207\001\202\323\344\223\0028\"3/v1/{name=projects/*/loca"
+          + "tions/*/datasets/*}:export:\001*\332A\022name,exp"
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+          + "tDataOperationMetadata\022\277\001\n\rListDataItems"
+          + "\0220.google.cloud.aiplatform.v1.ListDataIt"
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+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.AnnotationProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.AnnotationSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.DataItemProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.DatasetProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.OperationProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.TrainingPipelineProto.getDescriptor(),
+              com.google.longrunning.OperationsProto.getDescriptor(),
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+            });
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+    registry.add(com.google.api.ResourceProto.resourceReference);
+    registry.add(com.google.longrunning.OperationsProto.operationInfo);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.api.ClientProto.getDescriptor();
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.AnnotationProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.AnnotationSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.DataItemProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.DatasetProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.OperationProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.TrainingPipelineProto.getDescriptor();
+    com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.protobuf.FieldMaskProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResources.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResources.java
new file mode 100644
index 000000000..4c4a91739
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResources.java
@@ -0,0 +1,1000 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A description of resources that are dedicated to a DeployedModel, and
+ * that need a higher degree of manual configuration.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DedicatedResources}
+ */
+public final class DedicatedResources extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DedicatedResources)
+    DedicatedResourcesOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DedicatedResources.newBuilder() to construct.
+  private DedicatedResources(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DedicatedResources() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DedicatedResources();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DedicatedResources(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.MachineSpec.Builder subBuilder = null;
+              if (machineSpec_ != null) {
+                subBuilder = machineSpec_.toBuilder();
+              }
+              machineSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MachineSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(machineSpec_);
+                machineSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 16:
+            {
+              minReplicaCount_ = input.readInt32();
+              break;
+            }
+          case 24:
+            {
+              maxReplicaCount_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_DedicatedResources_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_DedicatedResources_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DedicatedResources.class,
+            com.google.cloud.aiplatform.v1.DedicatedResources.Builder.class);
+  }
+
+  public static final int MACHINE_SPEC_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.MachineSpec machineSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine used by the prediction.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return Whether the machineSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasMachineSpec() {
+    return machineSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine used by the prediction.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The machineSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec() {
+    return machineSpec_ == null
+        ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+        : machineSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine used by the prediction.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
+    return getMachineSpec();
+  }
+
+  public static final int MIN_REPLICA_COUNT_FIELD_NUMBER = 2;
+  private int minReplicaCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
+   * deployed on. If traffic against it increases, it may dynamically be
+   * deployed onto more replicas, and as traffic decreases, some of these extra
+   * replicas may be freed.
+   * Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
+   * above 0, currently the model will be always deployed precisely on
+   * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count].
+   * </pre>
+   *
+   * <code>
+   * int32 min_replica_count = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The minReplicaCount.
+   */
+  @java.lang.Override
+  public int getMinReplicaCount() {
+    return minReplicaCount_;
+  }
+
+  public static final int MAX_REPLICA_COUNT_FIELD_NUMBER = 3;
+  private int maxReplicaCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+   * the traffic against it increases. If the requested value is too large,
+   * the deployment will error, but if deployment succeeds then the ability
+   * to scale the model to that many replicas is guaranteed (barring service
+   * outages). If traffic against the DeployedModel increases beyond what its
+   * replicas at maximum may handle, a portion of the traffic will be dropped.
+   * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
+   * default value.
+   * </pre>
+   *
+   * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The maxReplicaCount.
+   */
+  @java.lang.Override
+  public int getMaxReplicaCount() {
+    return maxReplicaCount_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (machineSpec_ != null) {
+      output.writeMessage(1, getMachineSpec());
+    }
+    if (minReplicaCount_ != 0) {
+      output.writeInt32(2, minReplicaCount_);
+    }
+    if (maxReplicaCount_ != 0) {
+      output.writeInt32(3, maxReplicaCount_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (machineSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getMachineSpec());
+    }
+    if (minReplicaCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, minReplicaCount_);
+    }
+    if (maxReplicaCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(3, maxReplicaCount_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DedicatedResources)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DedicatedResources other =
+        (com.google.cloud.aiplatform.v1.DedicatedResources) obj;
+
+    if (hasMachineSpec() != other.hasMachineSpec()) return false;
+    if (hasMachineSpec()) {
+      if (!getMachineSpec().equals(other.getMachineSpec())) return false;
+    }
+    if (getMinReplicaCount() != other.getMinReplicaCount()) return false;
+    if (getMaxReplicaCount() != other.getMaxReplicaCount()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasMachineSpec()) {
+      hash = (37 * hash) + MACHINE_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getMachineSpec().hashCode();
+    }
+    hash = (37 * hash) + MIN_REPLICA_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getMinReplicaCount();
+    hash = (37 * hash) + MAX_REPLICA_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getMaxReplicaCount();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DedicatedResources prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that are dedicated to a DeployedModel, and
+   * that need a higher degree of manual configuration.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DedicatedResources}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DedicatedResources)
+      com.google.cloud.aiplatform.v1.DedicatedResourcesOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_DedicatedResources_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_DedicatedResources_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DedicatedResources.class,
+              com.google.cloud.aiplatform.v1.DedicatedResources.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DedicatedResources.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = null;
+      } else {
+        machineSpec_ = null;
+        machineSpecBuilder_ = null;
+      }
+      minReplicaCount_ = 0;
+
+      maxReplicaCount_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_DedicatedResources_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DedicatedResources getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DedicatedResources build() {
+      com.google.cloud.aiplatform.v1.DedicatedResources result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DedicatedResources buildPartial() {
+      com.google.cloud.aiplatform.v1.DedicatedResources result =
+          new com.google.cloud.aiplatform.v1.DedicatedResources(this);
+      if (machineSpecBuilder_ == null) {
+        result.machineSpec_ = machineSpec_;
+      } else {
+        result.machineSpec_ = machineSpecBuilder_.build();
+      }
+      result.minReplicaCount_ = minReplicaCount_;
+      result.maxReplicaCount_ = maxReplicaCount_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DedicatedResources) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DedicatedResources) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DedicatedResources other) {
+      if (other == com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance())
+        return this;
+      if (other.hasMachineSpec()) {
+        mergeMachineSpec(other.getMachineSpec());
+      }
+      if (other.getMinReplicaCount() != 0) {
+        setMinReplicaCount(other.getMinReplicaCount());
+      }
+      if (other.getMaxReplicaCount() != 0) {
+        setMaxReplicaCount(other.getMaxReplicaCount());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DedicatedResources parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DedicatedResources) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.MachineSpec machineSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MachineSpec,
+            com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+            com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>
+        machineSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return Whether the machineSpec field is set.
+     */
+    public boolean hasMachineSpec() {
+      return machineSpecBuilder_ != null || machineSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The machineSpec.
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec() {
+      if (machineSpecBuilder_ == null) {
+        return machineSpec_ == null
+            ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+            : machineSpec_;
+      } else {
+        return machineSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setMachineSpec(com.google.cloud.aiplatform.v1.MachineSpec value) {
+      if (machineSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        machineSpec_ = value;
+        onChanged();
+      } else {
+        machineSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setMachineSpec(
+        com.google.cloud.aiplatform.v1.MachineSpec.Builder builderForValue) {
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        machineSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1.MachineSpec value) {
+      if (machineSpecBuilder_ == null) {
+        if (machineSpec_ != null) {
+          machineSpec_ =
+              com.google.cloud.aiplatform.v1.MachineSpec.newBuilder(machineSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          machineSpec_ = value;
+        }
+        onChanged();
+      } else {
+        machineSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder clearMachineSpec() {
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = null;
+        onChanged();
+      } else {
+        machineSpec_ = null;
+        machineSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpec.Builder getMachineSpecBuilder() {
+
+      onChanged();
+      return getMachineSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
+      if (machineSpecBuilder_ != null) {
+        return machineSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return machineSpec_ == null
+            ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+            : machineSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The specification of a single machine used by the prediction.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MachineSpec,
+            com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+            com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>
+        getMachineSpecFieldBuilder() {
+      if (machineSpecBuilder_ == null) {
+        machineSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MachineSpec,
+                com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+                com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>(
+                getMachineSpec(), getParentForChildren(), isClean());
+        machineSpec_ = null;
+      }
+      return machineSpecBuilder_;
+    }
+
+    private int minReplicaCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas, and as traffic decreases, some of these extra
+     * replicas may be freed.
+     * Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
+     * above 0, currently the model will be always deployed precisely on
+     * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count].
+     * </pre>
+     *
+     * <code>
+     * int32 min_replica_count = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The minReplicaCount.
+     */
+    @java.lang.Override
+    public int getMinReplicaCount() {
+      return minReplicaCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas, and as traffic decreases, some of these extra
+     * replicas may be freed.
+     * Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
+     * above 0, currently the model will be always deployed precisely on
+     * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count].
+     * </pre>
+     *
+     * <code>
+     * int32 min_replica_count = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @param value The minReplicaCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMinReplicaCount(int value) {
+
+      minReplicaCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
+     * deployed on. If traffic against it increases, it may dynamically be
+     * deployed onto more replicas, and as traffic decreases, some of these extra
+     * replicas may be freed.
+     * Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
+     * above 0, currently the model will be always deployed precisely on
+     * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count].
+     * </pre>
+     *
+     * <code>
+     * int32 min_replica_count = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMinReplicaCount() {
+
+      minReplicaCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int maxReplicaCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+     * the traffic against it increases. If the requested value is too large,
+     * the deployment will error, but if deployment succeeds then the ability
+     * to scale the model to that many replicas is guaranteed (barring service
+     * outages). If traffic against the DeployedModel increases beyond what its
+     * replicas at maximum may handle, a portion of the traffic will be dropped.
+     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
+     * default value.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The maxReplicaCount.
+     */
+    @java.lang.Override
+    public int getMaxReplicaCount() {
+      return maxReplicaCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+     * the traffic against it increases. If the requested value is too large,
+     * the deployment will error, but if deployment succeeds then the ability
+     * to scale the model to that many replicas is guaranteed (barring service
+     * outages). If traffic against the DeployedModel increases beyond what its
+     * replicas at maximum may handle, a portion of the traffic will be dropped.
+     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
+     * default value.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The maxReplicaCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxReplicaCount(int value) {
+
+      maxReplicaCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+     * the traffic against it increases. If the requested value is too large,
+     * the deployment will error, but if deployment succeeds then the ability
+     * to scale the model to that many replicas is guaranteed (barring service
+     * outages). If traffic against the DeployedModel increases beyond what its
+     * replicas at maximum may handle, a portion of the traffic will be dropped.
+     * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
+     * default value.
+     * </pre>
+     *
+     * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxReplicaCount() {
+
+      maxReplicaCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DedicatedResources)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DedicatedResources)
+  private static final com.google.cloud.aiplatform.v1.DedicatedResources DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DedicatedResources();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DedicatedResources getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DedicatedResources> PARSER =
+      new com.google.protobuf.AbstractParser<DedicatedResources>() {
+        @java.lang.Override
+        public DedicatedResources parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DedicatedResources(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DedicatedResources> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DedicatedResources> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DedicatedResources getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResourcesOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResourcesOrBuilder.java
new file mode 100644
index 000000000..e11c3dab0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DedicatedResourcesOrBuilder.java
@@ -0,0 +1,107 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DedicatedResourcesOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DedicatedResources)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine used by the prediction.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return Whether the machineSpec field is set.
+   */
+  boolean hasMachineSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine used by the prediction.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The machineSpec.
+   */
+  com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The specification of a single machine used by the prediction.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
+   * deployed on. If traffic against it increases, it may dynamically be
+   * deployed onto more replicas, and as traffic decreases, some of these extra
+   * replicas may be freed.
+   * Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
+   * above 0, currently the model will be always deployed precisely on
+   * [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count].
+   * </pre>
+   *
+   * <code>
+   * int32 min_replica_count = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The minReplicaCount.
+   */
+  int getMinReplicaCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+   * the traffic against it increases. If the requested value is too large,
+   * the deployment will error, but if deployment succeeds then the ability
+   * to scale the model to that many replicas is guaranteed (barring service
+   * outages). If traffic against the DeployedModel increases beyond what its
+   * replicas at maximum may handle, a portion of the traffic will be dropped.
+   * If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
+   * default value.
+   * </pre>
+   *
+   * <code>int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The maxReplicaCount.
+   */
+  int getMaxReplicaCount();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequest.java
new file mode 100644
index 000000000..1e8b94e75
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequest.java
@@ -0,0 +1,672 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest}
+ */
+public final class DeleteBatchPredictionJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest)
+    DeleteBatchPredictionJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteBatchPredictionJobRequest.newBuilder() to construct.
+  private DeleteBatchPredictionJobRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteBatchPredictionJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteBatchPredictionJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteBatchPredictionJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteBatchPredictionJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteBatchPredictionJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.class,
+            com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
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+    return PARSER.parseFrom(data);
+  }
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+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest)
+      com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteBatchPredictionJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteBatchPredictionJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteBatchPredictionJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteBatchPredictionJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteBatchPredictionJobRequest>() {
+        @java.lang.Override
+        public DeleteBatchPredictionJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteBatchPredictionJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteBatchPredictionJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteBatchPredictionJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequestOrBuilder.java
new file mode 100644
index 000000000..a411e0055
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteBatchPredictionJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteBatchPredictionJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequest.java
new file mode 100644
index 000000000..ea0f33587
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteCustomJobRequest}
+ */
+public final class DeleteCustomJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteCustomJobRequest)
+    DeleteCustomJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteCustomJobRequest.newBuilder() to construct.
+  private DeleteCustomJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteCustomJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteCustomJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteCustomJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
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+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_descriptor;
+  }
+
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+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+   *
+   * <pre>
+   * Required. The name of the CustomJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
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+  public java.lang.String getName() {
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+      name_ = s;
+      return s;
+    }
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+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
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+    if (size != -1) return size;
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+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteCustomJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeleteCustomJobRequest other =
+        (com.google.cloud.aiplatform.v1.DeleteCustomJobRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
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+  public int hashCode() {
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+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
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+    memoizedHashCode = hash;
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+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.DeleteCustomJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteCustomJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteCustomJobRequest)
+      com.google.cloud.aiplatform.v1.DeleteCustomJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteCustomJobRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteCustomJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteCustomJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteCustomJobRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteCustomJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteCustomJobRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteCustomJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteCustomJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteCustomJobRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteCustomJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteCustomJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteCustomJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteCustomJobRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.DeleteCustomJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteCustomJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteCustomJobRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteCustomJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteCustomJobRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteCustomJobRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteCustomJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteCustomJobRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteCustomJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteCustomJobRequest>() {
+        @java.lang.Override
+        public DeleteCustomJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteCustomJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteCustomJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteCustomJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteCustomJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequestOrBuilder.java
new file mode 100644
index 000000000..c2210ca2d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteCustomJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteCustomJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteCustomJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequest.java
new file mode 100644
index 000000000..f64b41f40
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest}
+ */
+public final class DeleteDataLabelingJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest)
+    DeleteDataLabelingJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteDataLabelingJobRequest.newBuilder() to construct.
+  private DeleteDataLabelingJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteDataLabelingJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
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+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+    memoizedSize = size;
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+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
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+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest)) {
+      return super.equals(obj);
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+    com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest other =
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+
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+    if (!unknownFields.equals(other.unknownFields)) return false;
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+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest)
+      com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteDataLabelingJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteDataLabelingJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteDataLabelingJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteDataLabelingJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteDataLabelingJobRequest>() {
+        @java.lang.Override
+        public DeleteDataLabelingJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteDataLabelingJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteDataLabelingJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteDataLabelingJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequestOrBuilder.java
new file mode 100644
index 000000000..7e350759e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDataLabelingJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteDataLabelingJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequest.java
new file mode 100644
index 000000000..70763bef0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequest.java
@@ -0,0 +1,664 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteDatasetRequest}
+ */
+public final class DeleteDatasetRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteDatasetRequest)
+    DeleteDatasetRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteDatasetRequest.newBuilder() to construct.
+  private DeleteDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteDatasetRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteDatasetRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteDatasetRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteDatasetRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteDatasetRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeleteDatasetRequest.class,
+            com.google.cloud.aiplatform.v1.DeleteDatasetRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Dataset to delete.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Dataset to delete.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteDatasetRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeleteDatasetRequest other =
+        (com.google.cloud.aiplatform.v1.DeleteDatasetRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DeleteDatasetRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteDatasetRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteDatasetRequest)
+      com.google.cloud.aiplatform.v1.DeleteDatasetRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteDatasetRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteDatasetRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteDatasetRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteDatasetRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteDatasetRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteDatasetRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteDatasetRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteDatasetRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteDatasetRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteDatasetRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteDatasetRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteDatasetRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteDatasetRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteDatasetRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteDatasetRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteDatasetRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.DeleteDatasetRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteDatasetRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteDatasetRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to delete.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to delete.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to delete.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to delete.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to delete.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteDatasetRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteDatasetRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteDatasetRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteDatasetRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteDatasetRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteDatasetRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteDatasetRequest>() {
+        @java.lang.Override
+        public DeleteDatasetRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteDatasetRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteDatasetRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteDatasetRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteDatasetRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequestOrBuilder.java
new file mode 100644
index 000000000..3e7373b8d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteDatasetRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteDatasetRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteDatasetRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Dataset to delete.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Dataset to delete.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequest.java
new file mode 100644
index 000000000..01c766923
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequest.java
@@ -0,0 +1,664 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteEndpointRequest}
+ */
+public final class DeleteEndpointRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteEndpointRequest)
+    DeleteEndpointRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteEndpointRequest.newBuilder() to construct.
+  private DeleteEndpointRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteEndpointRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteEndpointRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteEndpointRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeleteEndpointRequest.class,
+            com.google.cloud.aiplatform.v1.DeleteEndpointRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteEndpointRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeleteEndpointRequest other =
+        (com.google.cloud.aiplatform.v1.DeleteEndpointRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DeleteEndpointRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteEndpointRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteEndpointRequest)
+      com.google.cloud.aiplatform.v1.DeleteEndpointRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteEndpointRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteEndpointRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteEndpointRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteEndpointRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteEndpointRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteEndpointRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteEndpointRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteEndpointRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteEndpointRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteEndpointRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteEndpointRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteEndpointRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteEndpointRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.DeleteEndpointRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteEndpointRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteEndpointRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteEndpointRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteEndpointRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteEndpointRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteEndpointRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteEndpointRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteEndpointRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteEndpointRequest>() {
+        @java.lang.Override
+        public DeleteEndpointRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteEndpointRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteEndpointRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteEndpointRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteEndpointRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequestOrBuilder.java
new file mode 100644
index 000000000..834815779
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteEndpointRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteEndpointRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteEndpointRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequest.java
new file mode 100644
index 000000000..5b59f5eff
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequest.java
@@ -0,0 +1,678 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest}
+ */
+public final class DeleteHyperparameterTuningJobRequest
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest)
+    DeleteHyperparameterTuningJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteHyperparameterTuningJobRequest.newBuilder() to construct.
+  private DeleteHyperparameterTuningJobRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteHyperparameterTuningJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteHyperparameterTuningJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteHyperparameterTuningJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteHyperparameterTuningJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteHyperparameterTuningJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest.class,
+            com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest other =
+        (com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest)
+      com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteHyperparameterTuningJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteHyperparameterTuningJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteHyperparameterTuningJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+              .getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteHyperparameterTuningJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteHyperparameterTuningJobRequest>() {
+        @java.lang.Override
+        public DeleteHyperparameterTuningJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteHyperparameterTuningJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteHyperparameterTuningJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteHyperparameterTuningJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequestOrBuilder.java
new file mode 100644
index 000000000..7df63a1c4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteHyperparameterTuningJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteHyperparameterTuningJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequest.java
new file mode 100644
index 000000000..aa1191e50
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequest.java
@@ -0,0 +1,657 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteModelRequest}
+ */
+public final class DeleteModelRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteModelRequest)
+    DeleteModelRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteModelRequest.newBuilder() to construct.
+  private DeleteModelRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteModelRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteModelRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteModelRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeleteModelRequest.class,
+            com.google.cloud.aiplatform.v1.DeleteModelRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model resource to be deleted.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model resource to be deleted.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteModelRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeleteModelRequest other =
+        (com.google.cloud.aiplatform.v1.DeleteModelRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DeleteModelRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteModelRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteModelRequest)
+      com.google.cloud.aiplatform.v1.DeleteModelRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteModelRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteModelRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteModelRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteModelRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteModelRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteModelRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteModelRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteModelRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteModelRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteModelRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteModelRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteModelRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteModelRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.DeleteModelRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteModelRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteModelRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource to be deleted.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource to be deleted.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource to be deleted.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource to be deleted.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource to be deleted.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteModelRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteModelRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteModelRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteModelRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteModelRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteModelRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteModelRequest>() {
+        @java.lang.Override
+        public DeleteModelRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteModelRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteModelRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteModelRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteModelRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequestOrBuilder.java
new file mode 100644
index 000000000..713ee6121
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteModelRequestOrBuilder.java
@@ -0,0 +1,56 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteModelRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteModelRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model resource to be deleted.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model resource to be deleted.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteOperationMetadata.java
new file mode 100644
index 000000000..0aed72962
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteOperationMetadata.java
@@ -0,0 +1,741 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/operation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Details of operations that perform deletes of any entities.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteOperationMetadata}
+ */
+public final class DeleteOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteOperationMetadata)
+    DeleteOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteOperationMetadata.newBuilder() to construct.
+  private DeleteOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.OperationProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.OperationProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeleteOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.DeleteOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeleteOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.DeleteOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.DeleteOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Details of operations that perform deletes of any entities.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteOperationMetadata)
+      com.google.cloud.aiplatform.v1.DeleteOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.OperationProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.OperationProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.DeleteOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.OperationProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.DeleteOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.DeleteOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteOperationMetadata other) {
+      if (other == com.google.cloud.aiplatform.v1.DeleteOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.DeleteOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteOperationMetadata>() {
+        @java.lang.Override
+        public DeleteOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..b81f1c43c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteOperationMetadataOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/operation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequest.java
new file mode 100644
index 000000000..6a2300f84
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequest.java
@@ -0,0 +1,756 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest}
+ */
+public final class DeleteSpecialistPoolRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest)
+    DeleteSpecialistPoolRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteSpecialistPoolRequest.newBuilder() to construct.
+  private DeleteSpecialistPoolRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteSpecialistPoolRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteSpecialistPoolRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteSpecialistPoolRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 16:
+            {
+              force_ = input.readBool();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.class,
+            com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the SpecialistPool to delete. Format:
+   * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the SpecialistPool to delete. Format:
+   * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FORCE_FIELD_NUMBER = 2;
+  private boolean force_;
+  /**
+   *
+   *
+   * <pre>
+   * If set to true, any specialist managers in this SpecialistPool will also be
+   * deleted. (Otherwise, the request will only work if the SpecialistPool has
+   * no specialist managers.)
+   * </pre>
+   *
+   * <code>bool force = 2;</code>
+   *
+   * @return The force.
+   */
+  @java.lang.Override
+  public boolean getForce() {
+    return force_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (force_ != false) {
+      output.writeBool(2, force_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (force_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(2, force_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest other =
+        (com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (getForce() != other.getForce()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (37 * hash) + FORCE_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getForce());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest)
+      com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
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+              com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      force_ = false;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest(this);
+      result.name_ = name_;
+      result.force_ = force_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.getForce() != false) {
+        setForce(other.getForce());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool to delete. Format:
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool to delete. Format:
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool to delete. Format:
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool to delete. Format:
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool to delete. Format:
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private boolean force_;
+    /**
+     *
+     *
+     * <pre>
+     * If set to true, any specialist managers in this SpecialistPool will also be
+     * deleted. (Otherwise, the request will only work if the SpecialistPool has
+     * no specialist managers.)
+     * </pre>
+     *
+     * <code>bool force = 2;</code>
+     *
+     * @return The force.
+     */
+    @java.lang.Override
+    public boolean getForce() {
+      return force_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If set to true, any specialist managers in this SpecialistPool will also be
+     * deleted. (Otherwise, the request will only work if the SpecialistPool has
+     * no specialist managers.)
+     * </pre>
+     *
+     * <code>bool force = 2;</code>
+     *
+     * @param value The force to set.
+     * @return This builder for chaining.
+     */
+    public Builder setForce(boolean value) {
+
+      force_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If set to true, any specialist managers in this SpecialistPool will also be
+     * deleted. (Otherwise, the request will only work if the SpecialistPool has
+     * no specialist managers.)
+     * </pre>
+     *
+     * <code>bool force = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearForce() {
+
+      force_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteSpecialistPoolRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteSpecialistPoolRequest>() {
+        @java.lang.Override
+        public DeleteSpecialistPoolRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteSpecialistPoolRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteSpecialistPoolRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteSpecialistPoolRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequestOrBuilder.java
new file mode 100644
index 000000000..d983b08f2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteSpecialistPoolRequestOrBuilder.java
@@ -0,0 +1,71 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteSpecialistPoolRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the SpecialistPool to delete. Format:
+   * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the SpecialistPool to delete. Format:
+   * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * If set to true, any specialist managers in this SpecialistPool will also be
+   * deleted. (Otherwise, the request will only work if the SpecialistPool has
+   * no specialist managers.)
+   * </pre>
+   *
+   * <code>bool force = 2;</code>
+   *
+   * @return The force.
+   */
+  boolean getForce();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequest.java
new file mode 100644
index 000000000..479f01d16
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequest.java
@@ -0,0 +1,668 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest}
+ */
+public final class DeleteTrainingPipelineRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest)
+    DeleteTrainingPipelineRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeleteTrainingPipelineRequest.newBuilder() to construct.
+  private DeleteTrainingPipelineRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeleteTrainingPipelineRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeleteTrainingPipelineRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeleteTrainingPipelineRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.class,
+            com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
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+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
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+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
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+    int size = memoizedSize;
+    if (size != -1) return size;
+
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+    if (!getNameBytes().isEmpty()) {
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+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest other =
+        (com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest)
+      com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.class,
+              com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest build() {
+      com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest result =
+          new com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource to be deleted.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest)
+  private static final com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeleteTrainingPipelineRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeleteTrainingPipelineRequest>() {
+        @java.lang.Override
+        public DeleteTrainingPipelineRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeleteTrainingPipelineRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeleteTrainingPipelineRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeleteTrainingPipelineRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequestOrBuilder.java
new file mode 100644
index 000000000..72f0163fa
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeleteTrainingPipelineRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeleteTrainingPipelineRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline resource to be deleted.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadata.java
new file mode 100644
index 000000000..d6ce3dd7e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadata.java
@@ -0,0 +1,741 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelOperationMetadata}
+ */
+public final class DeployModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeployModelOperationMetadata)
+    DeployModelOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeployModelOperationMetadata.newBuilder() to construct.
+  private DeployModelOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeployModelOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeployModelOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeployModelOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeployModelOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.DeployModelOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeployModelOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeployModelOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.DeployModelOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.DeployModelOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeployModelOperationMetadata)
+      com.google.cloud.aiplatform.v1.DeployModelOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeployModelOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.DeployModelOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeployModelOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeployModelOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.DeployModelOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.DeployModelOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.DeployModelOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeployModelOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeployModelOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeployModelOperationMetadata other) {
+      if (other == com.google.cloud.aiplatform.v1.DeployModelOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeployModelOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeployModelOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeployModelOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeployModelOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.DeployModelOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeployModelOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeployModelOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<DeployModelOperationMetadata>() {
+        @java.lang.Override
+        public DeployModelOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeployModelOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeployModelOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeployModelOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployModelOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..79ee8256c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelOperationMetadataOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeployModelOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeployModelOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequest.java
new file mode 100644
index 000000000..200f79509
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequest.java
@@ -0,0 +1,1418 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelRequest}
+ */
+public final class DeployModelRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeployModelRequest)
+    DeployModelRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeployModelRequest.newBuilder() to construct.
+  private DeployModelRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeployModelRequest() {
+    endpoint_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeployModelRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeployModelRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              endpoint_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.DeployedModel.Builder subBuilder = null;
+              if (deployedModel_ != null) {
+                subBuilder = deployedModel_.toBuilder();
+              }
+              deployedModel_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.DeployedModel.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(deployedModel_);
+                deployedModel_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 26:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                trafficSplit_ =
+                    com.google.protobuf.MapField.newMapField(
+                        TrafficSplitDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> trafficSplit__ =
+                  input.readMessage(
+                      TrafficSplitDefaultEntryHolder.defaultEntry.getParserForType(),
+                      extensionRegistry);
+              trafficSplit_.getMutableMap().put(trafficSplit__.getKey(), trafficSplit__.getValue());
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeployModelRequest_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 3:
+        return internalGetTrafficSplit();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeployModelRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeployModelRequest.class,
+            com.google.cloud.aiplatform.v1.DeployModelRequest.Builder.class);
+  }
+
+  public static final int ENDPOINT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object endpoint_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource into which to deploy a Model.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  @java.lang.Override
+  public java.lang.String getEndpoint() {
+    java.lang.Object ref = endpoint_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      endpoint_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource into which to deploy a Model.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for endpoint.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEndpointBytes() {
+    java.lang.Object ref = endpoint_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      endpoint_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DEPLOYED_MODEL_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.DeployedModel deployedModel_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DeployedModel to be created within the Endpoint. Note that
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+   * receiving traffic, either as part of this call, or via
+   * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the deployedModel field is set.
+   */
+  @java.lang.Override
+  public boolean hasDeployedModel() {
+    return deployedModel_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DeployedModel to be created within the Endpoint. Note that
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+   * receiving traffic, either as part of this call, or via
+   * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The deployedModel.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModel() {
+    return deployedModel_ == null
+        ? com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance()
+        : deployedModel_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DeployedModel to be created within the Endpoint. Note that
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+   * receiving traffic, either as part of this call, or via
+   * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelOrBuilder() {
+    return getDeployedModel();
+  }
+
+  public static final int TRAFFIC_SPLIT_FIELD_NUMBER = 3;
+
+  private static final class TrafficSplitDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.Integer>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.EndpointServiceProto
+                .internal_static_google_cloud_aiplatform_v1_DeployModelRequest_TrafficSplitEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.INT32,
+            0);
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.Integer> trafficSplit_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+      internalGetTrafficSplit() {
+    if (trafficSplit_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(
+          TrafficSplitDefaultEntryHolder.defaultEntry);
+    }
+    return trafficSplit_;
+  }
+
+  public int getTrafficSplitCount() {
+    return internalGetTrafficSplit().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  @java.lang.Override
+  public boolean containsTrafficSplit(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetTrafficSplit().getMap().containsKey(key);
+  }
+  /** Use {@link #getTrafficSplitMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit() {
+    return getTrafficSplitMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap() {
+    return internalGetTrafficSplit().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  @java.lang.Override
+  public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  @java.lang.Override
+  public int getTrafficSplitOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getEndpointBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, endpoint_);
+    }
+    if (deployedModel_ != null) {
+      output.writeMessage(2, getDeployedModel());
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetTrafficSplit(), TrafficSplitDefaultEntryHolder.defaultEntry, 3);
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getEndpointBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, endpoint_);
+    }
+    if (deployedModel_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getDeployedModel());
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.Integer> entry :
+        internalGetTrafficSplit().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> trafficSplit__ =
+          TrafficSplitDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, trafficSplit__);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeployModelRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeployModelRequest other =
+        (com.google.cloud.aiplatform.v1.DeployModelRequest) obj;
+
+    if (!getEndpoint().equals(other.getEndpoint())) return false;
+    if (hasDeployedModel() != other.hasDeployedModel()) return false;
+    if (hasDeployedModel()) {
+      if (!getDeployedModel().equals(other.getDeployedModel())) return false;
+    }
+    if (!internalGetTrafficSplit().equals(other.internalGetTrafficSplit())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
+    hash = (53 * hash) + getEndpoint().hashCode();
+    if (hasDeployedModel()) {
+      hash = (37 * hash) + DEPLOYED_MODEL_FIELD_NUMBER;
+      hash = (53 * hash) + getDeployedModel().hashCode();
+    }
+    if (!internalGetTrafficSplit().getMap().isEmpty()) {
+      hash = (37 * hash) + TRAFFIC_SPLIT_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetTrafficSplit().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DeployModelRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeployModelRequest)
+      com.google.cloud.aiplatform.v1.DeployModelRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelRequest_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 3:
+          return internalGetTrafficSplit();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 3:
+          return internalGetMutableTrafficSplit();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeployModelRequest.class,
+              com.google.cloud.aiplatform.v1.DeployModelRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeployModelRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      endpoint_ = "";
+
+      if (deployedModelBuilder_ == null) {
+        deployedModel_ = null;
+      } else {
+        deployedModel_ = null;
+        deployedModelBuilder_ = null;
+      }
+      internalGetMutableTrafficSplit().clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeployModelRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelRequest build() {
+      com.google.cloud.aiplatform.v1.DeployModelRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.DeployModelRequest result =
+          new com.google.cloud.aiplatform.v1.DeployModelRequest(this);
+      int from_bitField0_ = bitField0_;
+      result.endpoint_ = endpoint_;
+      if (deployedModelBuilder_ == null) {
+        result.deployedModel_ = deployedModel_;
+      } else {
+        result.deployedModel_ = deployedModelBuilder_.build();
+      }
+      result.trafficSplit_ = internalGetTrafficSplit();
+      result.trafficSplit_.makeImmutable();
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeployModelRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeployModelRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeployModelRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.DeployModelRequest.getDefaultInstance())
+        return this;
+      if (!other.getEndpoint().isEmpty()) {
+        endpoint_ = other.endpoint_;
+        onChanged();
+      }
+      if (other.hasDeployedModel()) {
+        mergeDeployedModel(other.getDeployedModel());
+      }
+      internalGetMutableTrafficSplit().mergeFrom(other.internalGetTrafficSplit());
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeployModelRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeployModelRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object endpoint_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource into which to deploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The endpoint.
+     */
+    public java.lang.String getEndpoint() {
+      java.lang.Object ref = endpoint_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        endpoint_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource into which to deploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for endpoint.
+     */
+    public com.google.protobuf.ByteString getEndpointBytes() {
+      java.lang.Object ref = endpoint_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        endpoint_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource into which to deploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The endpoint to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEndpoint(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      endpoint_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource into which to deploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEndpoint() {
+
+      endpoint_ = getDefaultInstance().getEndpoint();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource into which to deploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for endpoint to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      endpoint_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.DeployedModel deployedModel_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DeployedModel,
+            com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+            com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+        deployedModelBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the deployedModel field is set.
+     */
+    public boolean hasDeployedModel() {
+      return deployedModelBuilder_ != null || deployedModel_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The deployedModel.
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModel() {
+      if (deployedModelBuilder_ == null) {
+        return deployedModel_ == null
+            ? com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance()
+            : deployedModel_;
+      } else {
+        return deployedModelBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setDeployedModel(com.google.cloud.aiplatform.v1.DeployedModel value) {
+      if (deployedModelBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        deployedModel_ = value;
+        onChanged();
+      } else {
+        deployedModelBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setDeployedModel(
+        com.google.cloud.aiplatform.v1.DeployedModel.Builder builderForValue) {
+      if (deployedModelBuilder_ == null) {
+        deployedModel_ = builderForValue.build();
+        onChanged();
+      } else {
+        deployedModelBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeDeployedModel(com.google.cloud.aiplatform.v1.DeployedModel value) {
+      if (deployedModelBuilder_ == null) {
+        if (deployedModel_ != null) {
+          deployedModel_ =
+              com.google.cloud.aiplatform.v1.DeployedModel.newBuilder(deployedModel_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          deployedModel_ = value;
+        }
+        onChanged();
+      } else {
+        deployedModelBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearDeployedModel() {
+      if (deployedModelBuilder_ == null) {
+        deployedModel_ = null;
+        onChanged();
+      } else {
+        deployedModel_ = null;
+        deployedModelBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModel.Builder getDeployedModelBuilder() {
+
+      onChanged();
+      return getDeployedModelFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelOrBuilder() {
+      if (deployedModelBuilder_ != null) {
+        return deployedModelBuilder_.getMessageOrBuilder();
+      } else {
+        return deployedModel_ == null
+            ? com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance()
+            : deployedModel_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The DeployedModel to be created within the Endpoint. Note that
+     * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+     * receiving traffic, either as part of this call, or via
+     * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DeployedModel,
+            com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+            com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+        getDeployedModelFieldBuilder() {
+      if (deployedModelBuilder_ == null) {
+        deployedModelBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DeployedModel,
+                com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+                com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>(
+                getDeployedModel(), getParentForChildren(), isClean());
+        deployedModel_ = null;
+      }
+      return deployedModelBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer> trafficSplit_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+        internalGetTrafficSplit() {
+      if (trafficSplit_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(
+            TrafficSplitDefaultEntryHolder.defaultEntry);
+      }
+      return trafficSplit_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+        internalGetMutableTrafficSplit() {
+      onChanged();
+      ;
+      if (trafficSplit_ == null) {
+        trafficSplit_ =
+            com.google.protobuf.MapField.newMapField(TrafficSplitDefaultEntryHolder.defaultEntry);
+      }
+      if (!trafficSplit_.isMutable()) {
+        trafficSplit_ = trafficSplit_.copy();
+      }
+      return trafficSplit_;
+    }
+
+    public int getTrafficSplitCount() {
+      return internalGetTrafficSplit().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If this field is non-empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+     * To refer to the ID of the just being deployed Model, a "0" should be used,
+     * and the actual ID of the new DeployedModel will be filled in its place by
+     * this method. The traffic percentage values must add up to 100.
+     * If this field is empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    @java.lang.Override
+    public boolean containsTrafficSplit(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetTrafficSplit().getMap().containsKey(key);
+    }
+    /** Use {@link #getTrafficSplitMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit() {
+      return getTrafficSplitMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If this field is non-empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+     * To refer to the ID of the just being deployed Model, a "0" should be used,
+     * and the actual ID of the new DeployedModel will be filled in its place by
+     * this method. The traffic percentage values must add up to 100.
+     * If this field is empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap() {
+      return internalGetTrafficSplit().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If this field is non-empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+     * To refer to the ID of the just being deployed Model, a "0" should be used,
+     * and the actual ID of the new DeployedModel will be filled in its place by
+     * this method. The traffic percentage values must add up to 100.
+     * If this field is empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    @java.lang.Override
+    public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If this field is non-empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+     * To refer to the ID of the just being deployed Model, a "0" should be used,
+     * and the actual ID of the new DeployedModel will be filled in its place by
+     * this method. The traffic percentage values must add up to 100.
+     * If this field is empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    @java.lang.Override
+    public int getTrafficSplitOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearTrafficSplit() {
+      internalGetMutableTrafficSplit().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If this field is non-empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+     * To refer to the ID of the just being deployed Model, a "0" should be used,
+     * and the actual ID of the new DeployedModel will be filled in its place by
+     * this method. The traffic percentage values must add up to 100.
+     * If this field is empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    public Builder removeTrafficSplit(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableTrafficSplit().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.Integer> getMutableTrafficSplit() {
+      return internalGetMutableTrafficSplit().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If this field is non-empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+     * To refer to the ID of the just being deployed Model, a "0" should be used,
+     * and the actual ID of the new DeployedModel will be filled in its place by
+     * this method. The traffic percentage values must add up to 100.
+     * If this field is empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    public Builder putTrafficSplit(java.lang.String key, int value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+
+      internalGetMutableTrafficSplit().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If this field is non-empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+     * To refer to the ID of the just being deployed Model, a "0" should be used,
+     * and the actual ID of the new DeployedModel will be filled in its place by
+     * this method. The traffic percentage values must add up to 100.
+     * If this field is empty, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    public Builder putAllTrafficSplit(java.util.Map<java.lang.String, java.lang.Integer> values) {
+      internalGetMutableTrafficSplit().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeployModelRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeployModelRequest)
+  private static final com.google.cloud.aiplatform.v1.DeployModelRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeployModelRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeployModelRequest> PARSER =
+      new com.google.protobuf.AbstractParser<DeployModelRequest>() {
+        @java.lang.Override
+        public DeployModelRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeployModelRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeployModelRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeployModelRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployModelRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequestOrBuilder.java
new file mode 100644
index 000000000..4fe0c0b2f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelRequestOrBuilder.java
@@ -0,0 +1,202 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeployModelRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeployModelRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource into which to deploy a Model.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  java.lang.String getEndpoint();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource into which to deploy a Model.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for endpoint.
+   */
+  com.google.protobuf.ByteString getEndpointBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DeployedModel to be created within the Endpoint. Note that
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+   * receiving traffic, either as part of this call, or via
+   * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the deployedModel field is set.
+   */
+  boolean hasDeployedModel();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DeployedModel to be created within the Endpoint. Note that
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+   * receiving traffic, either as part of this call, or via
+   * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The deployedModel.
+   */
+  com.google.cloud.aiplatform.v1.DeployedModel getDeployedModel();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The DeployedModel to be created within the Endpoint. Note that
+   * [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+   * receiving traffic, either as part of this call, or via
+   * [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.DeployedModel deployed_model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  int getTrafficSplitCount();
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  boolean containsTrafficSplit(java.lang.String key);
+  /** Use {@link #getTrafficSplitMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit();
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap();
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  int getTrafficSplitOrDefault(java.lang.String key, int defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If this field is non-empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+   * To refer to the ID of the just being deployed Model, a "0" should be used,
+   * and the actual ID of the new DeployedModel will be filled in its place by
+   * this method. The traffic percentage values must add up to 100.
+   * If this field is empty, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  int getTrafficSplitOrThrow(java.lang.String key);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponse.java
new file mode 100644
index 000000000..2aa110e34
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponse.java
@@ -0,0 +1,734 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelResponse}
+ */
+public final class DeployModelResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeployModelResponse)
+    DeployModelResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeployModelResponse.newBuilder() to construct.
+  private DeployModelResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeployModelResponse() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeployModelResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeployModelResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.DeployedModel.Builder subBuilder = null;
+              if (deployedModel_ != null) {
+                subBuilder = deployedModel_.toBuilder();
+              }
+              deployedModel_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.DeployedModel.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(deployedModel_);
+                deployedModel_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeployModelResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_DeployModelResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeployModelResponse.class,
+            com.google.cloud.aiplatform.v1.DeployModelResponse.Builder.class);
+  }
+
+  public static final int DEPLOYED_MODEL_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.DeployedModel deployedModel_;
+  /**
+   *
+   *
+   * <pre>
+   * The DeployedModel that had been deployed in the Endpoint.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+   *
+   * @return Whether the deployedModel field is set.
+   */
+  @java.lang.Override
+  public boolean hasDeployedModel() {
+    return deployedModel_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The DeployedModel that had been deployed in the Endpoint.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+   *
+   * @return The deployedModel.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModel() {
+    return deployedModel_ == null
+        ? com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance()
+        : deployedModel_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The DeployedModel that had been deployed in the Endpoint.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelOrBuilder() {
+    return getDeployedModel();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (deployedModel_ != null) {
+      output.writeMessage(1, getDeployedModel());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (deployedModel_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getDeployedModel());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeployModelResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeployModelResponse other =
+        (com.google.cloud.aiplatform.v1.DeployModelResponse) obj;
+
+    if (hasDeployedModel() != other.hasDeployedModel()) return false;
+    if (hasDeployedModel()) {
+      if (!getDeployedModel().equals(other.getDeployedModel())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasDeployedModel()) {
+      hash = (37 * hash) + DEPLOYED_MODEL_FIELD_NUMBER;
+      hash = (53 * hash) + getDeployedModel().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DeployModelResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeployModelResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeployModelResponse)
+      com.google.cloud.aiplatform.v1.DeployModelResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeployModelResponse.class,
+              com.google.cloud.aiplatform.v1.DeployModelResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeployModelResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (deployedModelBuilder_ == null) {
+        deployedModel_ = null;
+      } else {
+        deployedModel_ = null;
+        deployedModelBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_DeployModelResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeployModelResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelResponse build() {
+      com.google.cloud.aiplatform.v1.DeployModelResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployModelResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.DeployModelResponse result =
+          new com.google.cloud.aiplatform.v1.DeployModelResponse(this);
+      if (deployedModelBuilder_ == null) {
+        result.deployedModel_ = deployedModel_;
+      } else {
+        result.deployedModel_ = deployedModelBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeployModelResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeployModelResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeployModelResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.DeployModelResponse.getDefaultInstance())
+        return this;
+      if (other.hasDeployedModel()) {
+        mergeDeployedModel(other.getDeployedModel());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeployModelResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.DeployModelResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.DeployedModel deployedModel_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DeployedModel,
+            com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+            com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+        deployedModelBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     *
+     * @return Whether the deployedModel field is set.
+     */
+    public boolean hasDeployedModel() {
+      return deployedModelBuilder_ != null || deployedModel_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     *
+     * @return The deployedModel.
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModel() {
+      if (deployedModelBuilder_ == null) {
+        return deployedModel_ == null
+            ? com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance()
+            : deployedModel_;
+      } else {
+        return deployedModelBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     */
+    public Builder setDeployedModel(com.google.cloud.aiplatform.v1.DeployedModel value) {
+      if (deployedModelBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        deployedModel_ = value;
+        onChanged();
+      } else {
+        deployedModelBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     */
+    public Builder setDeployedModel(
+        com.google.cloud.aiplatform.v1.DeployedModel.Builder builderForValue) {
+      if (deployedModelBuilder_ == null) {
+        deployedModel_ = builderForValue.build();
+        onChanged();
+      } else {
+        deployedModelBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     */
+    public Builder mergeDeployedModel(com.google.cloud.aiplatform.v1.DeployedModel value) {
+      if (deployedModelBuilder_ == null) {
+        if (deployedModel_ != null) {
+          deployedModel_ =
+              com.google.cloud.aiplatform.v1.DeployedModel.newBuilder(deployedModel_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          deployedModel_ = value;
+        }
+        onChanged();
+      } else {
+        deployedModelBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     */
+    public Builder clearDeployedModel() {
+      if (deployedModelBuilder_ == null) {
+        deployedModel_ = null;
+        onChanged();
+      } else {
+        deployedModel_ = null;
+        deployedModelBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModel.Builder getDeployedModelBuilder() {
+
+      onChanged();
+      return getDeployedModelFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelOrBuilder() {
+      if (deployedModelBuilder_ != null) {
+        return deployedModelBuilder_.getMessageOrBuilder();
+      } else {
+        return deployedModel_ == null
+            ? com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance()
+            : deployedModel_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The DeployedModel that had been deployed in the Endpoint.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DeployedModel,
+            com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+            com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+        getDeployedModelFieldBuilder() {
+      if (deployedModelBuilder_ == null) {
+        deployedModelBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DeployedModel,
+                com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+                com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>(
+                getDeployedModel(), getParentForChildren(), isClean());
+        deployedModel_ = null;
+      }
+      return deployedModelBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeployModelResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeployModelResponse)
+  private static final com.google.cloud.aiplatform.v1.DeployModelResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeployModelResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployModelResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeployModelResponse> PARSER =
+      new com.google.protobuf.AbstractParser<DeployModelResponse>() {
+        @java.lang.Override
+        public DeployModelResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeployModelResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeployModelResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeployModelResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployModelResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponseOrBuilder.java
new file mode 100644
index 000000000..c1439591c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployModelResponseOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeployModelResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeployModelResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The DeployedModel that had been deployed in the Endpoint.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+   *
+   * @return Whether the deployedModel field is set.
+   */
+  boolean hasDeployedModel();
+  /**
+   *
+   *
+   * <pre>
+   * The DeployedModel that had been deployed in the Endpoint.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+   *
+   * @return The deployedModel.
+   */
+  com.google.cloud.aiplatform.v1.DeployedModel getDeployedModel();
+  /**
+   *
+   *
+   * <pre>
+   * The DeployedModel that had been deployed in the Endpoint.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DeployedModel deployed_model = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModel.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModel.java
new file mode 100644
index 000000000..0ab666b42
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModel.java
@@ -0,0 +1,2474 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A deployment of a Model. Endpoints contain one or more DeployedModels.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeployedModel}
+ */
+public final class DeployedModel extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeployedModel)
+    DeployedModelOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeployedModel.newBuilder() to construct.
+  private DeployedModel(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeployedModel() {
+    id_ = "";
+    model_ = "";
+    displayName_ = "";
+    serviceAccount_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeployedModel();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeployedModel(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              id_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              model_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 50:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 58:
+            {
+              com.google.cloud.aiplatform.v1.DedicatedResources.Builder subBuilder = null;
+              if (predictionResourcesCase_ == 7) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_)
+                        .toBuilder();
+              }
+              predictionResources_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.DedicatedResources.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_);
+                predictionResources_ = subBuilder.buildPartial();
+              }
+              predictionResourcesCase_ = 7;
+              break;
+            }
+          case 66:
+            {
+              com.google.cloud.aiplatform.v1.AutomaticResources.Builder subBuilder = null;
+              if (predictionResourcesCase_ == 8) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.AutomaticResources) predictionResources_)
+                        .toBuilder();
+              }
+              predictionResources_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.AutomaticResources.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.AutomaticResources) predictionResources_);
+                predictionResources_ = subBuilder.buildPartial();
+              }
+              predictionResourcesCase_ = 8;
+              break;
+            }
+          case 90:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              serviceAccount_ = s;
+              break;
+            }
+          case 104:
+            {
+              enableAccessLogging_ = input.readBool();
+              break;
+            }
+          case 120:
+            {
+              disableContainerLogging_ = input.readBool();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointProto
+        .internal_static_google_cloud_aiplatform_v1_DeployedModel_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointProto
+        .internal_static_google_cloud_aiplatform_v1_DeployedModel_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeployedModel.class,
+            com.google.cloud.aiplatform.v1.DeployedModel.Builder.class);
+  }
+
+  private int predictionResourcesCase_ = 0;
+  private java.lang.Object predictionResources_;
+
+  public enum PredictionResourcesCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    DEDICATED_RESOURCES(7),
+    AUTOMATIC_RESOURCES(8),
+    PREDICTIONRESOURCES_NOT_SET(0);
+    private final int value;
+
+    private PredictionResourcesCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static PredictionResourcesCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static PredictionResourcesCase forNumber(int value) {
+      switch (value) {
+        case 7:
+          return DEDICATED_RESOURCES;
+        case 8:
+          return AUTOMATIC_RESOURCES;
+        case 0:
+          return PREDICTIONRESOURCES_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public PredictionResourcesCase getPredictionResourcesCase() {
+    return PredictionResourcesCase.forNumber(predictionResourcesCase_);
+  }
+
+  public static final int DEDICATED_RESOURCES_FIELD_NUMBER = 7;
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that are dedicated to the DeployedModel, and
+   * that need a higher degree of manual configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+   *
+   * @return Whether the dedicatedResources field is set.
+   */
+  @java.lang.Override
+  public boolean hasDedicatedResources() {
+    return predictionResourcesCase_ == 7;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that are dedicated to the DeployedModel, and
+   * that need a higher degree of manual configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+   *
+   * @return The dedicatedResources.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DedicatedResources getDedicatedResources() {
+    if (predictionResourcesCase_ == 7) {
+      return (com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_;
+    }
+    return com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that are dedicated to the DeployedModel, and
+   * that need a higher degree of manual configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DedicatedResourcesOrBuilder
+      getDedicatedResourcesOrBuilder() {
+    if (predictionResourcesCase_ == 7) {
+      return (com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_;
+    }
+    return com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance();
+  }
+
+  public static final int AUTOMATIC_RESOURCES_FIELD_NUMBER = 8;
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that to large degree are decided by AI
+   * Platform, and require only a modest additional configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+   *
+   * @return Whether the automaticResources field is set.
+   */
+  @java.lang.Override
+  public boolean hasAutomaticResources() {
+    return predictionResourcesCase_ == 8;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that to large degree are decided by AI
+   * Platform, and require only a modest additional configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+   *
+   * @return The automaticResources.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.AutomaticResources getAutomaticResources() {
+    if (predictionResourcesCase_ == 8) {
+      return (com.google.cloud.aiplatform.v1.AutomaticResources) predictionResources_;
+    }
+    return com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that to large degree are decided by AI
+   * Platform, and require only a modest additional configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.AutomaticResourcesOrBuilder
+      getAutomaticResourcesOrBuilder() {
+    if (predictionResourcesCase_ == 8) {
+      return (com.google.cloud.aiplatform.v1.AutomaticResources) predictionResources_;
+    }
+    return com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance();
+  }
+
+  public static final int ID_FIELD_NUMBER = 1;
+  private volatile java.lang.Object id_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The ID of the DeployedModel.
+   * </pre>
+   *
+   * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The id.
+   */
+  @java.lang.Override
+  public java.lang.String getId() {
+    java.lang.Object ref = id_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      id_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The ID of the DeployedModel.
+   * </pre>
+   *
+   * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for id.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getIdBytes() {
+    java.lang.Object ref = id_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      id_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MODEL_FIELD_NUMBER = 2;
+  private volatile java.lang.Object model_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model that this is the deployment of. Note that the Model
+   * may be in a different location than the DeployedModel's Endpoint.
+   * </pre>
+   *
+   * <code>
+   * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The model.
+   */
+  @java.lang.Override
+  public java.lang.String getModel() {
+    java.lang.Object ref = model_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      model_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model that this is the deployment of. Note that the Model
+   * may be in a different location than the DeployedModel's Endpoint.
+   * </pre>
+   *
+   * <code>
+   * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for model.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getModelBytes() {
+    java.lang.Object ref = model_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      model_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 3;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the DeployedModel. If not provided upon creation,
+   * the Model's display_name is used.
+   * </pre>
+   *
+   * <code>string display_name = 3;</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the DeployedModel. If not provided upon creation,
+   * the Model's display_name is used.
+   * </pre>
+   *
+   * <code>string display_name = 3;</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 6;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the DeployedModel was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the DeployedModel was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the DeployedModel was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int SERVICE_ACCOUNT_FIELD_NUMBER = 11;
+  private volatile java.lang.Object serviceAccount_;
+  /**
+   *
+   *
+   * <pre>
+   * The service account that the DeployedModel's container runs as. Specify the
+   * email address of the service account. If this service account is not
+   * specified, the container runs as a service account that doesn't have access
+   * to the resource project.
+   * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+   * permission on this service account.
+   * </pre>
+   *
+   * <code>string service_account = 11;</code>
+   *
+   * @return The serviceAccount.
+   */
+  @java.lang.Override
+  public java.lang.String getServiceAccount() {
+    java.lang.Object ref = serviceAccount_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      serviceAccount_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The service account that the DeployedModel's container runs as. Specify the
+   * email address of the service account. If this service account is not
+   * specified, the container runs as a service account that doesn't have access
+   * to the resource project.
+   * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+   * permission on this service account.
+   * </pre>
+   *
+   * <code>string service_account = 11;</code>
+   *
+   * @return The bytes for serviceAccount.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getServiceAccountBytes() {
+    java.lang.Object ref = serviceAccount_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      serviceAccount_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISABLE_CONTAINER_LOGGING_FIELD_NUMBER = 15;
+  private boolean disableContainerLogging_;
+  /**
+   *
+   *
+   * <pre>
+   * For custom-trained Models and AutoML Tabular Models, the container of the
+   * DeployedModel instances will send `stderr` and `stdout` streams to
+   * Stackdriver Logging by default. Please note that the logs incur cost,
+   * which are subject to [Cloud Logging
+   * pricing](https://cloud.google.com/stackdriver/pricing).
+   * User can disable container logging by setting this flag to true.
+   * </pre>
+   *
+   * <code>bool disable_container_logging = 15;</code>
+   *
+   * @return The disableContainerLogging.
+   */
+  @java.lang.Override
+  public boolean getDisableContainerLogging() {
+    return disableContainerLogging_;
+  }
+
+  public static final int ENABLE_ACCESS_LOGGING_FIELD_NUMBER = 13;
+  private boolean enableAccessLogging_;
+  /**
+   *
+   *
+   * <pre>
+   * These logs are like standard server access logs, containing
+   * information like timestamp and latency for each prediction request.
+   * Note that Stackdriver logs may incur a cost, especially if your project
+   * receives prediction requests at a high queries per second rate (QPS).
+   * Estimate your costs before enabling this option.
+   * </pre>
+   *
+   * <code>bool enable_access_logging = 13;</code>
+   *
+   * @return The enableAccessLogging.
+   */
+  @java.lang.Override
+  public boolean getEnableAccessLogging() {
+    return enableAccessLogging_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, id_);
+    }
+    if (!getModelBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, model_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, displayName_);
+    }
+    if (createTime_ != null) {
+      output.writeMessage(6, getCreateTime());
+    }
+    if (predictionResourcesCase_ == 7) {
+      output.writeMessage(
+          7, (com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_);
+    }
+    if (predictionResourcesCase_ == 8) {
+      output.writeMessage(
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+    }
+    if (!getServiceAccountBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 11, serviceAccount_);
+    }
+    if (enableAccessLogging_ != false) {
+      output.writeBool(13, enableAccessLogging_);
+    }
+    if (disableContainerLogging_ != false) {
+      output.writeBool(15, disableContainerLogging_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getIdBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, id_);
+    }
+    if (!getModelBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, model_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, displayName_);
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(6, getCreateTime());
+    }
+    if (predictionResourcesCase_ == 7) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
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+    if (predictionResourcesCase_ == 8) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
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+    }
+    if (!getServiceAccountBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(11, serviceAccount_);
+    }
+    if (enableAccessLogging_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(13, enableAccessLogging_);
+    }
+    if (disableContainerLogging_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(15, disableContainerLogging_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeployedModel)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeployedModel other =
+        (com.google.cloud.aiplatform.v1.DeployedModel) obj;
+
+    if (!getId().equals(other.getId())) return false;
+    if (!getModel().equals(other.getModel())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (!getServiceAccount().equals(other.getServiceAccount())) return false;
+    if (getDisableContainerLogging() != other.getDisableContainerLogging()) return false;
+    if (getEnableAccessLogging() != other.getEnableAccessLogging()) return false;
+    if (!getPredictionResourcesCase().equals(other.getPredictionResourcesCase())) return false;
+    switch (predictionResourcesCase_) {
+      case 7:
+        if (!getDedicatedResources().equals(other.getDedicatedResources())) return false;
+        break;
+      case 8:
+        if (!getAutomaticResources().equals(other.getAutomaticResources())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + ID_FIELD_NUMBER;
+    hash = (53 * hash) + getId().hashCode();
+    hash = (37 * hash) + MODEL_FIELD_NUMBER;
+    hash = (53 * hash) + getModel().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    if (hasCreateTime()) {
+      hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getCreateTime().hashCode();
+    }
+    hash = (37 * hash) + SERVICE_ACCOUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getServiceAccount().hashCode();
+    hash = (37 * hash) + DISABLE_CONTAINER_LOGGING_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getDisableContainerLogging());
+    hash = (37 * hash) + ENABLE_ACCESS_LOGGING_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getEnableAccessLogging());
+    switch (predictionResourcesCase_) {
+      case 7:
+        hash = (37 * hash) + DEDICATED_RESOURCES_FIELD_NUMBER;
+        hash = (53 * hash) + getDedicatedResources().hashCode();
+        break;
+      case 8:
+        hash = (37 * hash) + AUTOMATIC_RESOURCES_FIELD_NUMBER;
+        hash = (53 * hash) + getAutomaticResources().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DeployedModel prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A deployment of a Model. Endpoints contain one or more DeployedModels.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeployedModel}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeployedModel)
+      com.google.cloud.aiplatform.v1.DeployedModelOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointProto
+          .internal_static_google_cloud_aiplatform_v1_DeployedModel_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointProto
+          .internal_static_google_cloud_aiplatform_v1_DeployedModel_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeployedModel.class,
+              com.google.cloud.aiplatform.v1.DeployedModel.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeployedModel.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      id_ = "";
+
+      model_ = "";
+
+      displayName_ = "";
+
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+      serviceAccount_ = "";
+
+      disableContainerLogging_ = false;
+
+      enableAccessLogging_ = false;
+
+      predictionResourcesCase_ = 0;
+      predictionResources_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointProto
+          .internal_static_google_cloud_aiplatform_v1_DeployedModel_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployedModel getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployedModel build() {
+      com.google.cloud.aiplatform.v1.DeployedModel result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployedModel buildPartial() {
+      com.google.cloud.aiplatform.v1.DeployedModel result =
+          new com.google.cloud.aiplatform.v1.DeployedModel(this);
+      if (predictionResourcesCase_ == 7) {
+        if (dedicatedResourcesBuilder_ == null) {
+          result.predictionResources_ = predictionResources_;
+        } else {
+          result.predictionResources_ = dedicatedResourcesBuilder_.build();
+        }
+      }
+      if (predictionResourcesCase_ == 8) {
+        if (automaticResourcesBuilder_ == null) {
+          result.predictionResources_ = predictionResources_;
+        } else {
+          result.predictionResources_ = automaticResourcesBuilder_.build();
+        }
+      }
+      result.id_ = id_;
+      result.model_ = model_;
+      result.displayName_ = displayName_;
+      if (createTimeBuilder_ == null) {
+        result.createTime_ = createTime_;
+      } else {
+        result.createTime_ = createTimeBuilder_.build();
+      }
+      result.serviceAccount_ = serviceAccount_;
+      result.disableContainerLogging_ = disableContainerLogging_;
+      result.enableAccessLogging_ = enableAccessLogging_;
+      result.predictionResourcesCase_ = predictionResourcesCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeployedModel) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeployedModel) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeployedModel other) {
+      if (other == com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance()) return this;
+      if (!other.getId().isEmpty()) {
+        id_ = other.id_;
+        onChanged();
+      }
+      if (!other.getModel().isEmpty()) {
+        model_ = other.model_;
+        onChanged();
+      }
+      if (!other.getDisplayName().isEmpty()) {
+        displayName_ = other.displayName_;
+        onChanged();
+      }
+      if (other.hasCreateTime()) {
+        mergeCreateTime(other.getCreateTime());
+      }
+      if (!other.getServiceAccount().isEmpty()) {
+        serviceAccount_ = other.serviceAccount_;
+        onChanged();
+      }
+      if (other.getDisableContainerLogging() != false) {
+        setDisableContainerLogging(other.getDisableContainerLogging());
+      }
+      if (other.getEnableAccessLogging() != false) {
+        setEnableAccessLogging(other.getEnableAccessLogging());
+      }
+      switch (other.getPredictionResourcesCase()) {
+        case DEDICATED_RESOURCES:
+          {
+            mergeDedicatedResources(other.getDedicatedResources());
+            break;
+          }
+        case AUTOMATIC_RESOURCES:
+          {
+            mergeAutomaticResources(other.getAutomaticResources());
+            break;
+          }
+        case PREDICTIONRESOURCES_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeployedModel parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.DeployedModel) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int predictionResourcesCase_ = 0;
+    private java.lang.Object predictionResources_;
+
+    public PredictionResourcesCase getPredictionResourcesCase() {
+      return PredictionResourcesCase.forNumber(predictionResourcesCase_);
+    }
+
+    public Builder clearPredictionResources() {
+      predictionResourcesCase_ = 0;
+      predictionResources_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DedicatedResources,
+            com.google.cloud.aiplatform.v1.DedicatedResources.Builder,
+            com.google.cloud.aiplatform.v1.DedicatedResourcesOrBuilder>
+        dedicatedResourcesBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     *
+     * @return Whether the dedicatedResources field is set.
+     */
+    @java.lang.Override
+    public boolean hasDedicatedResources() {
+      return predictionResourcesCase_ == 7;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     *
+     * @return The dedicatedResources.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DedicatedResources getDedicatedResources() {
+      if (dedicatedResourcesBuilder_ == null) {
+        if (predictionResourcesCase_ == 7) {
+          return (com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_;
+        }
+        return com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance();
+      } else {
+        if (predictionResourcesCase_ == 7) {
+          return dedicatedResourcesBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     */
+    public Builder setDedicatedResources(com.google.cloud.aiplatform.v1.DedicatedResources value) {
+      if (dedicatedResourcesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        predictionResources_ = value;
+        onChanged();
+      } else {
+        dedicatedResourcesBuilder_.setMessage(value);
+      }
+      predictionResourcesCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     */
+    public Builder setDedicatedResources(
+        com.google.cloud.aiplatform.v1.DedicatedResources.Builder builderForValue) {
+      if (dedicatedResourcesBuilder_ == null) {
+        predictionResources_ = builderForValue.build();
+        onChanged();
+      } else {
+        dedicatedResourcesBuilder_.setMessage(builderForValue.build());
+      }
+      predictionResourcesCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     */
+    public Builder mergeDedicatedResources(
+        com.google.cloud.aiplatform.v1.DedicatedResources value) {
+      if (dedicatedResourcesBuilder_ == null) {
+        if (predictionResourcesCase_ == 7
+            && predictionResources_
+                != com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance()) {
+          predictionResources_ =
+              com.google.cloud.aiplatform.v1.DedicatedResources.newBuilder(
+                      (com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          predictionResources_ = value;
+        }
+        onChanged();
+      } else {
+        if (predictionResourcesCase_ == 7) {
+          dedicatedResourcesBuilder_.mergeFrom(value);
+        }
+        dedicatedResourcesBuilder_.setMessage(value);
+      }
+      predictionResourcesCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     */
+    public Builder clearDedicatedResources() {
+      if (dedicatedResourcesBuilder_ == null) {
+        if (predictionResourcesCase_ == 7) {
+          predictionResourcesCase_ = 0;
+          predictionResources_ = null;
+          onChanged();
+        }
+      } else {
+        if (predictionResourcesCase_ == 7) {
+          predictionResourcesCase_ = 0;
+          predictionResources_ = null;
+        }
+        dedicatedResourcesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DedicatedResources.Builder
+        getDedicatedResourcesBuilder() {
+      return getDedicatedResourcesFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DedicatedResourcesOrBuilder
+        getDedicatedResourcesOrBuilder() {
+      if ((predictionResourcesCase_ == 7) && (dedicatedResourcesBuilder_ != null)) {
+        return dedicatedResourcesBuilder_.getMessageOrBuilder();
+      } else {
+        if (predictionResourcesCase_ == 7) {
+          return (com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_;
+        }
+        return com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that are dedicated to the DeployedModel, and
+     * that need a higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DedicatedResources,
+            com.google.cloud.aiplatform.v1.DedicatedResources.Builder,
+            com.google.cloud.aiplatform.v1.DedicatedResourcesOrBuilder>
+        getDedicatedResourcesFieldBuilder() {
+      if (dedicatedResourcesBuilder_ == null) {
+        if (!(predictionResourcesCase_ == 7)) {
+          predictionResources_ =
+              com.google.cloud.aiplatform.v1.DedicatedResources.getDefaultInstance();
+        }
+        dedicatedResourcesBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DedicatedResources,
+                com.google.cloud.aiplatform.v1.DedicatedResources.Builder,
+                com.google.cloud.aiplatform.v1.DedicatedResourcesOrBuilder>(
+                (com.google.cloud.aiplatform.v1.DedicatedResources) predictionResources_,
+                getParentForChildren(),
+                isClean());
+        predictionResources_ = null;
+      }
+      predictionResourcesCase_ = 7;
+      onChanged();
+      ;
+      return dedicatedResourcesBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.AutomaticResources,
+            com.google.cloud.aiplatform.v1.AutomaticResources.Builder,
+            com.google.cloud.aiplatform.v1.AutomaticResourcesOrBuilder>
+        automaticResourcesBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     *
+     * @return Whether the automaticResources field is set.
+     */
+    @java.lang.Override
+    public boolean hasAutomaticResources() {
+      return predictionResourcesCase_ == 8;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     *
+     * @return The automaticResources.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.AutomaticResources getAutomaticResources() {
+      if (automaticResourcesBuilder_ == null) {
+        if (predictionResourcesCase_ == 8) {
+          return (com.google.cloud.aiplatform.v1.AutomaticResources) predictionResources_;
+        }
+        return com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance();
+      } else {
+        if (predictionResourcesCase_ == 8) {
+          return automaticResourcesBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     */
+    public Builder setAutomaticResources(com.google.cloud.aiplatform.v1.AutomaticResources value) {
+      if (automaticResourcesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        predictionResources_ = value;
+        onChanged();
+      } else {
+        automaticResourcesBuilder_.setMessage(value);
+      }
+      predictionResourcesCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     */
+    public Builder setAutomaticResources(
+        com.google.cloud.aiplatform.v1.AutomaticResources.Builder builderForValue) {
+      if (automaticResourcesBuilder_ == null) {
+        predictionResources_ = builderForValue.build();
+        onChanged();
+      } else {
+        automaticResourcesBuilder_.setMessage(builderForValue.build());
+      }
+      predictionResourcesCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     */
+    public Builder mergeAutomaticResources(
+        com.google.cloud.aiplatform.v1.AutomaticResources value) {
+      if (automaticResourcesBuilder_ == null) {
+        if (predictionResourcesCase_ == 8
+            && predictionResources_
+                != com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance()) {
+          predictionResources_ =
+              com.google.cloud.aiplatform.v1.AutomaticResources.newBuilder(
+                      (com.google.cloud.aiplatform.v1.AutomaticResources) predictionResources_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          predictionResources_ = value;
+        }
+        onChanged();
+      } else {
+        if (predictionResourcesCase_ == 8) {
+          automaticResourcesBuilder_.mergeFrom(value);
+        }
+        automaticResourcesBuilder_.setMessage(value);
+      }
+      predictionResourcesCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     */
+    public Builder clearAutomaticResources() {
+      if (automaticResourcesBuilder_ == null) {
+        if (predictionResourcesCase_ == 8) {
+          predictionResourcesCase_ = 0;
+          predictionResources_ = null;
+          onChanged();
+        }
+      } else {
+        if (predictionResourcesCase_ == 8) {
+          predictionResourcesCase_ = 0;
+          predictionResources_ = null;
+        }
+        automaticResourcesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     */
+    public com.google.cloud.aiplatform.v1.AutomaticResources.Builder
+        getAutomaticResourcesBuilder() {
+      return getAutomaticResourcesFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.AutomaticResourcesOrBuilder
+        getAutomaticResourcesOrBuilder() {
+      if ((predictionResourcesCase_ == 8) && (automaticResourcesBuilder_ != null)) {
+        return automaticResourcesBuilder_.getMessageOrBuilder();
+      } else {
+        if (predictionResourcesCase_ == 8) {
+          return (com.google.cloud.aiplatform.v1.AutomaticResources) predictionResources_;
+        }
+        return com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A description of resources that to large degree are decided by AI
+     * Platform, and require only a modest additional configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.AutomaticResources,
+            com.google.cloud.aiplatform.v1.AutomaticResources.Builder,
+            com.google.cloud.aiplatform.v1.AutomaticResourcesOrBuilder>
+        getAutomaticResourcesFieldBuilder() {
+      if (automaticResourcesBuilder_ == null) {
+        if (!(predictionResourcesCase_ == 8)) {
+          predictionResources_ =
+              com.google.cloud.aiplatform.v1.AutomaticResources.getDefaultInstance();
+        }
+        automaticResourcesBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.AutomaticResources,
+                com.google.cloud.aiplatform.v1.AutomaticResources.Builder,
+                com.google.cloud.aiplatform.v1.AutomaticResourcesOrBuilder>(
+                (com.google.cloud.aiplatform.v1.AutomaticResources) predictionResources_,
+                getParentForChildren(),
+                isClean());
+        predictionResources_ = null;
+      }
+      predictionResourcesCase_ = 8;
+      onChanged();
+      ;
+      return automaticResourcesBuilder_;
+    }
+
+    private java.lang.Object id_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the DeployedModel.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The id.
+     */
+    public java.lang.String getId() {
+      java.lang.Object ref = id_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        id_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the DeployedModel.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for id.
+     */
+    public com.google.protobuf.ByteString getIdBytes() {
+      java.lang.Object ref = id_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        id_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the DeployedModel.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The id to set.
+     * @return This builder for chaining.
+     */
+    public Builder setId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      id_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the DeployedModel.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearId() {
+
+      id_ = getDefaultInstance().getId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the DeployedModel.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for id to set.
+     * @return This builder for chaining.
+     */
+    public Builder setIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      id_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object model_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that this is the deployment of. Note that the Model
+     * may be in a different location than the DeployedModel's Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The model.
+     */
+    public java.lang.String getModel() {
+      java.lang.Object ref = model_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        model_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that this is the deployment of. Note that the Model
+     * may be in a different location than the DeployedModel's Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for model.
+     */
+    public com.google.protobuf.ByteString getModelBytes() {
+      java.lang.Object ref = model_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        model_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that this is the deployment of. Note that the Model
+     * may be in a different location than the DeployedModel's Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The model to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModel(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      model_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that this is the deployment of. Note that the Model
+     * may be in a different location than the DeployedModel's Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModel() {
+
+      model_ = getDefaultInstance().getModel();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model that this is the deployment of. Note that the Model
+     * may be in a different location than the DeployedModel's Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for model to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      model_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the DeployedModel. If not provided upon creation,
+     * the Model's display_name is used.
+     * </pre>
+     *
+     * <code>string display_name = 3;</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the DeployedModel. If not provided upon creation,
+     * the Model's display_name is used.
+     * </pre>
+     *
+     * <code>string display_name = 3;</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the DeployedModel. If not provided upon creation,
+     * the Model's display_name is used.
+     * </pre>
+     *
+     * <code>string display_name = 3;</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the DeployedModel. If not provided upon creation,
+     * the Model's display_name is used.
+     * </pre>
+     *
+     * <code>string display_name = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the DeployedModel. If not provided upon creation,
+     * the Model's display_name is used.
+     * </pre>
+     *
+     * <code>string display_name = 3;</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the DeployedModel was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private java.lang.Object serviceAccount_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The service account that the DeployedModel's container runs as. Specify the
+     * email address of the service account. If this service account is not
+     * specified, the container runs as a service account that doesn't have access
+     * to the resource project.
+     * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+     * permission on this service account.
+     * </pre>
+     *
+     * <code>string service_account = 11;</code>
+     *
+     * @return The serviceAccount.
+     */
+    public java.lang.String getServiceAccount() {
+      java.lang.Object ref = serviceAccount_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        serviceAccount_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The service account that the DeployedModel's container runs as. Specify the
+     * email address of the service account. If this service account is not
+     * specified, the container runs as a service account that doesn't have access
+     * to the resource project.
+     * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+     * permission on this service account.
+     * </pre>
+     *
+     * <code>string service_account = 11;</code>
+     *
+     * @return The bytes for serviceAccount.
+     */
+    public com.google.protobuf.ByteString getServiceAccountBytes() {
+      java.lang.Object ref = serviceAccount_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        serviceAccount_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The service account that the DeployedModel's container runs as. Specify the
+     * email address of the service account. If this service account is not
+     * specified, the container runs as a service account that doesn't have access
+     * to the resource project.
+     * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+     * permission on this service account.
+     * </pre>
+     *
+     * <code>string service_account = 11;</code>
+     *
+     * @param value The serviceAccount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setServiceAccount(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      serviceAccount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The service account that the DeployedModel's container runs as. Specify the
+     * email address of the service account. If this service account is not
+     * specified, the container runs as a service account that doesn't have access
+     * to the resource project.
+     * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+     * permission on this service account.
+     * </pre>
+     *
+     * <code>string service_account = 11;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearServiceAccount() {
+
+      serviceAccount_ = getDefaultInstance().getServiceAccount();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The service account that the DeployedModel's container runs as. Specify the
+     * email address of the service account. If this service account is not
+     * specified, the container runs as a service account that doesn't have access
+     * to the resource project.
+     * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+     * permission on this service account.
+     * </pre>
+     *
+     * <code>string service_account = 11;</code>
+     *
+     * @param value The bytes for serviceAccount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      serviceAccount_ = value;
+      onChanged();
+      return this;
+    }
+
+    private boolean disableContainerLogging_;
+    /**
+     *
+     *
+     * <pre>
+     * For custom-trained Models and AutoML Tabular Models, the container of the
+     * DeployedModel instances will send `stderr` and `stdout` streams to
+     * Stackdriver Logging by default. Please note that the logs incur cost,
+     * which are subject to [Cloud Logging
+     * pricing](https://cloud.google.com/stackdriver/pricing).
+     * User can disable container logging by setting this flag to true.
+     * </pre>
+     *
+     * <code>bool disable_container_logging = 15;</code>
+     *
+     * @return The disableContainerLogging.
+     */
+    @java.lang.Override
+    public boolean getDisableContainerLogging() {
+      return disableContainerLogging_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For custom-trained Models and AutoML Tabular Models, the container of the
+     * DeployedModel instances will send `stderr` and `stdout` streams to
+     * Stackdriver Logging by default. Please note that the logs incur cost,
+     * which are subject to [Cloud Logging
+     * pricing](https://cloud.google.com/stackdriver/pricing).
+     * User can disable container logging by setting this flag to true.
+     * </pre>
+     *
+     * <code>bool disable_container_logging = 15;</code>
+     *
+     * @param value The disableContainerLogging to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisableContainerLogging(boolean value) {
+
+      disableContainerLogging_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For custom-trained Models and AutoML Tabular Models, the container of the
+     * DeployedModel instances will send `stderr` and `stdout` streams to
+     * Stackdriver Logging by default. Please note that the logs incur cost,
+     * which are subject to [Cloud Logging
+     * pricing](https://cloud.google.com/stackdriver/pricing).
+     * User can disable container logging by setting this flag to true.
+     * </pre>
+     *
+     * <code>bool disable_container_logging = 15;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisableContainerLogging() {
+
+      disableContainerLogging_ = false;
+      onChanged();
+      return this;
+    }
+
+    private boolean enableAccessLogging_;
+    /**
+     *
+     *
+     * <pre>
+     * These logs are like standard server access logs, containing
+     * information like timestamp and latency for each prediction request.
+     * Note that Stackdriver logs may incur a cost, especially if your project
+     * receives prediction requests at a high queries per second rate (QPS).
+     * Estimate your costs before enabling this option.
+     * </pre>
+     *
+     * <code>bool enable_access_logging = 13;</code>
+     *
+     * @return The enableAccessLogging.
+     */
+    @java.lang.Override
+    public boolean getEnableAccessLogging() {
+      return enableAccessLogging_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * These logs are like standard server access logs, containing
+     * information like timestamp and latency for each prediction request.
+     * Note that Stackdriver logs may incur a cost, especially if your project
+     * receives prediction requests at a high queries per second rate (QPS).
+     * Estimate your costs before enabling this option.
+     * </pre>
+     *
+     * <code>bool enable_access_logging = 13;</code>
+     *
+     * @param value The enableAccessLogging to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEnableAccessLogging(boolean value) {
+
+      enableAccessLogging_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * These logs are like standard server access logs, containing
+     * information like timestamp and latency for each prediction request.
+     * Note that Stackdriver logs may incur a cost, especially if your project
+     * receives prediction requests at a high queries per second rate (QPS).
+     * Estimate your costs before enabling this option.
+     * </pre>
+     *
+     * <code>bool enable_access_logging = 13;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEnableAccessLogging() {
+
+      enableAccessLogging_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeployedModel)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeployedModel)
+  private static final com.google.cloud.aiplatform.v1.DeployedModel DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeployedModel();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModel getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeployedModel> PARSER =
+      new com.google.protobuf.AbstractParser<DeployedModel>() {
+        @java.lang.Override
+        public DeployedModel parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeployedModel(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeployedModel> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeployedModel> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModel getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelNameProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelNameProto.java
new file mode 100644
index 000000000..155510f17
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelNameProto.java
@@ -0,0 +1,83 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/deployed_model_ref.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class DeployedModelNameProto {
+  private DeployedModelNameProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeployedModelRef_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeployedModelRef_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n3google/cloud/aiplatform/v1/deployed_mo"
+          + "del_ref.proto\022\032google.cloud.aiplatform.v"
+          + "1\032\037google/api/field_behavior.proto\032\031goog"
+          + "le/api/resource.proto\032\034google/api/annota"
+          + "tions.proto\"p\n\020DeployedModelRef\022<\n\010endpo"
+          + "int\030\001 \001(\tB*\340A\005\372A$\n\"aiplatform.googleapis"
+          + ".com/Endpoint\022\036\n\021deployed_model_id\030\002 \001(\t"
+          + "B\003\340A\005B\200\001\n\036com.google.cloud.aiplatform.v1"
+          + "B\026DeployedModelNameProtoP\001ZDgoogle.golan"
+          + "g.org/genproto/googleapis/cloud/aiplatfo"
+          + "rm/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_DeployedModelRef_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_DeployedModelRef_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeployedModelRef_descriptor,
+            new java.lang.String[] {
+              "Endpoint", "DeployedModelId",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelOrBuilder.java
new file mode 100644
index 000000000..a921d5ee4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelOrBuilder.java
@@ -0,0 +1,295 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeployedModelOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeployedModel)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that are dedicated to the DeployedModel, and
+   * that need a higher degree of manual configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+   *
+   * @return Whether the dedicatedResources field is set.
+   */
+  boolean hasDedicatedResources();
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that are dedicated to the DeployedModel, and
+   * that need a higher degree of manual configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+   *
+   * @return The dedicatedResources.
+   */
+  com.google.cloud.aiplatform.v1.DedicatedResources getDedicatedResources();
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that are dedicated to the DeployedModel, and
+   * that need a higher degree of manual configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;</code>
+   */
+  com.google.cloud.aiplatform.v1.DedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that to large degree are decided by AI
+   * Platform, and require only a modest additional configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+   *
+   * @return Whether the automaticResources field is set.
+   */
+  boolean hasAutomaticResources();
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that to large degree are decided by AI
+   * Platform, and require only a modest additional configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+   *
+   * @return The automaticResources.
+   */
+  com.google.cloud.aiplatform.v1.AutomaticResources getAutomaticResources();
+  /**
+   *
+   *
+   * <pre>
+   * A description of resources that to large degree are decided by AI
+   * Platform, and require only a modest additional configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;</code>
+   */
+  com.google.cloud.aiplatform.v1.AutomaticResourcesOrBuilder getAutomaticResourcesOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The ID of the DeployedModel.
+   * </pre>
+   *
+   * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The id.
+   */
+  java.lang.String getId();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The ID of the DeployedModel.
+   * </pre>
+   *
+   * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for id.
+   */
+  com.google.protobuf.ByteString getIdBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model that this is the deployment of. Note that the Model
+   * may be in a different location than the DeployedModel's Endpoint.
+   * </pre>
+   *
+   * <code>
+   * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The model.
+   */
+  java.lang.String getModel();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model that this is the deployment of. Note that the Model
+   * may be in a different location than the DeployedModel's Endpoint.
+   * </pre>
+   *
+   * <code>
+   * string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for model.
+   */
+  com.google.protobuf.ByteString getModelBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the DeployedModel. If not provided upon creation,
+   * the Model's display_name is used.
+   * </pre>
+   *
+   * <code>string display_name = 3;</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the DeployedModel. If not provided upon creation,
+   * the Model's display_name is used.
+   * </pre>
+   *
+   * <code>string display_name = 3;</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the DeployedModel was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the DeployedModel was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the DeployedModel was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The service account that the DeployedModel's container runs as. Specify the
+   * email address of the service account. If this service account is not
+   * specified, the container runs as a service account that doesn't have access
+   * to the resource project.
+   * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+   * permission on this service account.
+   * </pre>
+   *
+   * <code>string service_account = 11;</code>
+   *
+   * @return The serviceAccount.
+   */
+  java.lang.String getServiceAccount();
+  /**
+   *
+   *
+   * <pre>
+   * The service account that the DeployedModel's container runs as. Specify the
+   * email address of the service account. If this service account is not
+   * specified, the container runs as a service account that doesn't have access
+   * to the resource project.
+   * Users deploying the Model must have the `iam.serviceAccounts.actAs`
+   * permission on this service account.
+   * </pre>
+   *
+   * <code>string service_account = 11;</code>
+   *
+   * @return The bytes for serviceAccount.
+   */
+  com.google.protobuf.ByteString getServiceAccountBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * For custom-trained Models and AutoML Tabular Models, the container of the
+   * DeployedModel instances will send `stderr` and `stdout` streams to
+   * Stackdriver Logging by default. Please note that the logs incur cost,
+   * which are subject to [Cloud Logging
+   * pricing](https://cloud.google.com/stackdriver/pricing).
+   * User can disable container logging by setting this flag to true.
+   * </pre>
+   *
+   * <code>bool disable_container_logging = 15;</code>
+   *
+   * @return The disableContainerLogging.
+   */
+  boolean getDisableContainerLogging();
+
+  /**
+   *
+   *
+   * <pre>
+   * These logs are like standard server access logs, containing
+   * information like timestamp and latency for each prediction request.
+   * Note that Stackdriver logs may incur a cost, especially if your project
+   * receives prediction requests at a high queries per second rate (QPS).
+   * Estimate your costs before enabling this option.
+   * </pre>
+   *
+   * <code>bool enable_access_logging = 13;</code>
+   *
+   * @return The enableAccessLogging.
+   */
+  boolean getEnableAccessLogging();
+
+  public com.google.cloud.aiplatform.v1.DeployedModel.PredictionResourcesCase
+      getPredictionResourcesCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelRef.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelRef.java
new file mode 100644
index 000000000..fcc68e358
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelRef.java
@@ -0,0 +1,828 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/deployed_model_ref.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Points to a DeployedModel.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DeployedModelRef}
+ */
+public final class DeployedModelRef extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DeployedModelRef)
+    DeployedModelRefOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DeployedModelRef.newBuilder() to construct.
+  private DeployedModelRef(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DeployedModelRef() {
+    endpoint_ = "";
+    deployedModelId_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DeployedModelRef();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DeployedModelRef(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              endpoint_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              deployedModelId_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DeployedModelNameProto
+        .internal_static_google_cloud_aiplatform_v1_DeployedModelRef_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DeployedModelNameProto
+        .internal_static_google_cloud_aiplatform_v1_DeployedModelRef_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DeployedModelRef.class,
+            com.google.cloud.aiplatform.v1.DeployedModelRef.Builder.class);
+  }
+
+  public static final int ENDPOINT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object endpoint_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. A resource name of an Endpoint.
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  @java.lang.Override
+  public java.lang.String getEndpoint() {
+    java.lang.Object ref = endpoint_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      endpoint_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. A resource name of an Endpoint.
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for endpoint.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEndpointBytes() {
+    java.lang.Object ref = endpoint_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      endpoint_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER = 2;
+  private volatile java.lang.Object deployedModelId_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An ID of a DeployedModel in the above Endpoint.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The deployedModelId.
+   */
+  @java.lang.Override
+  public java.lang.String getDeployedModelId() {
+    java.lang.Object ref = deployedModelId_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      deployedModelId_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An ID of a DeployedModel in the above Endpoint.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for deployedModelId.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDeployedModelIdBytes() {
+    java.lang.Object ref = deployedModelId_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      deployedModelId_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getEndpointBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, endpoint_);
+    }
+    if (!getDeployedModelIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, deployedModelId_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getEndpointBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, endpoint_);
+    }
+    if (!getDeployedModelIdBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, deployedModelId_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DeployedModelRef)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DeployedModelRef other =
+        (com.google.cloud.aiplatform.v1.DeployedModelRef) obj;
+
+    if (!getEndpoint().equals(other.getEndpoint())) return false;
+    if (!getDeployedModelId().equals(other.getDeployedModelId())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
+    hash = (53 * hash) + getEndpoint().hashCode();
+    hash = (37 * hash) + DEPLOYED_MODEL_ID_FIELD_NUMBER;
+    hash = (53 * hash) + getDeployedModelId().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DeployedModelRef prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Points to a DeployedModel.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DeployedModelRef}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DeployedModelRef)
+      com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DeployedModelNameProto
+          .internal_static_google_cloud_aiplatform_v1_DeployedModelRef_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DeployedModelNameProto
+          .internal_static_google_cloud_aiplatform_v1_DeployedModelRef_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DeployedModelRef.class,
+              com.google.cloud.aiplatform.v1.DeployedModelRef.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DeployedModelRef.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      endpoint_ = "";
+
+      deployedModelId_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DeployedModelNameProto
+          .internal_static_google_cloud_aiplatform_v1_DeployedModelRef_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployedModelRef getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DeployedModelRef.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployedModelRef build() {
+      com.google.cloud.aiplatform.v1.DeployedModelRef result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DeployedModelRef buildPartial() {
+      com.google.cloud.aiplatform.v1.DeployedModelRef result =
+          new com.google.cloud.aiplatform.v1.DeployedModelRef(this);
+      result.endpoint_ = endpoint_;
+      result.deployedModelId_ = deployedModelId_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DeployedModelRef) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DeployedModelRef) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DeployedModelRef other) {
+      if (other == com.google.cloud.aiplatform.v1.DeployedModelRef.getDefaultInstance())
+        return this;
+      if (!other.getEndpoint().isEmpty()) {
+        endpoint_ = other.endpoint_;
+        onChanged();
+      }
+      if (!other.getDeployedModelId().isEmpty()) {
+        deployedModelId_ = other.deployedModelId_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DeployedModelRef parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.DeployedModelRef) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object endpoint_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. A resource name of an Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The endpoint.
+     */
+    public java.lang.String getEndpoint() {
+      java.lang.Object ref = endpoint_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        endpoint_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. A resource name of an Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for endpoint.
+     */
+    public com.google.protobuf.ByteString getEndpointBytes() {
+      java.lang.Object ref = endpoint_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        endpoint_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. A resource name of an Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The endpoint to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEndpoint(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      endpoint_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. A resource name of an Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEndpoint() {
+
+      endpoint_ = getDefaultInstance().getEndpoint();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. A resource name of an Endpoint.
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for endpoint to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      endpoint_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object deployedModelId_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An ID of a DeployedModel in the above Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The deployedModelId.
+     */
+    public java.lang.String getDeployedModelId() {
+      java.lang.Object ref = deployedModelId_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        deployedModelId_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An ID of a DeployedModel in the above Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for deployedModelId.
+     */
+    public com.google.protobuf.ByteString getDeployedModelIdBytes() {
+      java.lang.Object ref = deployedModelId_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        deployedModelId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An ID of a DeployedModel in the above Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The deployedModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDeployedModelId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      deployedModelId_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An ID of a DeployedModel in the above Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDeployedModelId() {
+
+      deployedModelId_ = getDefaultInstance().getDeployedModelId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An ID of a DeployedModel in the above Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for deployedModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDeployedModelIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      deployedModelId_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DeployedModelRef)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DeployedModelRef)
+  private static final com.google.cloud.aiplatform.v1.DeployedModelRef DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DeployedModelRef();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DeployedModelRef getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DeployedModelRef> PARSER =
+      new com.google.protobuf.AbstractParser<DeployedModelRef>() {
+        @java.lang.Override
+        public DeployedModelRef parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DeployedModelRef(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DeployedModelRef> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DeployedModelRef> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModelRef getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelRefOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelRefOrBuilder.java
new file mode 100644
index 000000000..b3448d4ee
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DeployedModelRefOrBuilder.java
@@ -0,0 +1,79 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/deployed_model_ref.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DeployedModelRefOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DeployedModelRef)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. A resource name of an Endpoint.
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  java.lang.String getEndpoint();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. A resource name of an Endpoint.
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for endpoint.
+   */
+  com.google.protobuf.ByteString getEndpointBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An ID of a DeployedModel in the above Endpoint.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The deployedModelId.
+   */
+  java.lang.String getDeployedModelId();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An ID of a DeployedModel in the above Endpoint.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for deployedModelId.
+   */
+  com.google.protobuf.ByteString getDeployedModelIdBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DiskSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DiskSpec.java
new file mode 100644
index 000000000..2197f5f26
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DiskSpec.java
@@ -0,0 +1,737 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents the spec of disk options.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.DiskSpec}
+ */
+public final class DiskSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.DiskSpec)
+    DiskSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use DiskSpec.newBuilder() to construct.
+  private DiskSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private DiskSpec() {
+    bootDiskType_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new DiskSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private DiskSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              bootDiskType_ = s;
+              break;
+            }
+          case 16:
+            {
+              bootDiskSizeGb_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_DiskSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_DiskSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.DiskSpec.class,
+            com.google.cloud.aiplatform.v1.DiskSpec.Builder.class);
+  }
+
+  public static final int BOOT_DISK_TYPE_FIELD_NUMBER = 1;
+  private volatile java.lang.Object bootDiskType_;
+  /**
+   *
+   *
+   * <pre>
+   * Type of the boot disk (default is "pd-ssd").
+   * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+   * "pd-standard" (Persistent Disk Hard Disk Drive).
+   * </pre>
+   *
+   * <code>string boot_disk_type = 1;</code>
+   *
+   * @return The bootDiskType.
+   */
+  @java.lang.Override
+  public java.lang.String getBootDiskType() {
+    java.lang.Object ref = bootDiskType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      bootDiskType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Type of the boot disk (default is "pd-ssd").
+   * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+   * "pd-standard" (Persistent Disk Hard Disk Drive).
+   * </pre>
+   *
+   * <code>string boot_disk_type = 1;</code>
+   *
+   * @return The bytes for bootDiskType.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getBootDiskTypeBytes() {
+    java.lang.Object ref = bootDiskType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      bootDiskType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int BOOT_DISK_SIZE_GB_FIELD_NUMBER = 2;
+  private int bootDiskSizeGb_;
+  /**
+   *
+   *
+   * <pre>
+   * Size in GB of the boot disk (default is 100GB).
+   * </pre>
+   *
+   * <code>int32 boot_disk_size_gb = 2;</code>
+   *
+   * @return The bootDiskSizeGb.
+   */
+  @java.lang.Override
+  public int getBootDiskSizeGb() {
+    return bootDiskSizeGb_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getBootDiskTypeBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, bootDiskType_);
+    }
+    if (bootDiskSizeGb_ != 0) {
+      output.writeInt32(2, bootDiskSizeGb_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getBootDiskTypeBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, bootDiskType_);
+    }
+    if (bootDiskSizeGb_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, bootDiskSizeGb_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.DiskSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.DiskSpec other = (com.google.cloud.aiplatform.v1.DiskSpec) obj;
+
+    if (!getBootDiskType().equals(other.getBootDiskType())) return false;
+    if (getBootDiskSizeGb() != other.getBootDiskSizeGb()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + BOOT_DISK_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + getBootDiskType().hashCode();
+    hash = (37 * hash) + BOOT_DISK_SIZE_GB_FIELD_NUMBER;
+    hash = (53 * hash) + getBootDiskSizeGb();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.DiskSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents the spec of disk options.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.DiskSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.DiskSpec)
+      com.google.cloud.aiplatform.v1.DiskSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_DiskSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_DiskSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.DiskSpec.class,
+              com.google.cloud.aiplatform.v1.DiskSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.DiskSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      bootDiskType_ = "";
+
+      bootDiskSizeGb_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_DiskSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DiskSpec getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.DiskSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DiskSpec build() {
+      com.google.cloud.aiplatform.v1.DiskSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.DiskSpec buildPartial() {
+      com.google.cloud.aiplatform.v1.DiskSpec result =
+          new com.google.cloud.aiplatform.v1.DiskSpec(this);
+      result.bootDiskType_ = bootDiskType_;
+      result.bootDiskSizeGb_ = bootDiskSizeGb_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.DiskSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.DiskSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.DiskSpec other) {
+      if (other == com.google.cloud.aiplatform.v1.DiskSpec.getDefaultInstance()) return this;
+      if (!other.getBootDiskType().isEmpty()) {
+        bootDiskType_ = other.bootDiskType_;
+        onChanged();
+      }
+      if (other.getBootDiskSizeGb() != 0) {
+        setBootDiskSizeGb(other.getBootDiskSizeGb());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.DiskSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.DiskSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object bootDiskType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Type of the boot disk (default is "pd-ssd").
+     * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+     * "pd-standard" (Persistent Disk Hard Disk Drive).
+     * </pre>
+     *
+     * <code>string boot_disk_type = 1;</code>
+     *
+     * @return The bootDiskType.
+     */
+    public java.lang.String getBootDiskType() {
+      java.lang.Object ref = bootDiskType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        bootDiskType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Type of the boot disk (default is "pd-ssd").
+     * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+     * "pd-standard" (Persistent Disk Hard Disk Drive).
+     * </pre>
+     *
+     * <code>string boot_disk_type = 1;</code>
+     *
+     * @return The bytes for bootDiskType.
+     */
+    public com.google.protobuf.ByteString getBootDiskTypeBytes() {
+      java.lang.Object ref = bootDiskType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        bootDiskType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Type of the boot disk (default is "pd-ssd").
+     * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+     * "pd-standard" (Persistent Disk Hard Disk Drive).
+     * </pre>
+     *
+     * <code>string boot_disk_type = 1;</code>
+     *
+     * @param value The bootDiskType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBootDiskType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      bootDiskType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Type of the boot disk (default is "pd-ssd").
+     * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+     * "pd-standard" (Persistent Disk Hard Disk Drive).
+     * </pre>
+     *
+     * <code>string boot_disk_type = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearBootDiskType() {
+
+      bootDiskType_ = getDefaultInstance().getBootDiskType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Type of the boot disk (default is "pd-ssd").
+     * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+     * "pd-standard" (Persistent Disk Hard Disk Drive).
+     * </pre>
+     *
+     * <code>string boot_disk_type = 1;</code>
+     *
+     * @param value The bytes for bootDiskType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBootDiskTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      bootDiskType_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int bootDiskSizeGb_;
+    /**
+     *
+     *
+     * <pre>
+     * Size in GB of the boot disk (default is 100GB).
+     * </pre>
+     *
+     * <code>int32 boot_disk_size_gb = 2;</code>
+     *
+     * @return The bootDiskSizeGb.
+     */
+    @java.lang.Override
+    public int getBootDiskSizeGb() {
+      return bootDiskSizeGb_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Size in GB of the boot disk (default is 100GB).
+     * </pre>
+     *
+     * <code>int32 boot_disk_size_gb = 2;</code>
+     *
+     * @param value The bootDiskSizeGb to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBootDiskSizeGb(int value) {
+
+      bootDiskSizeGb_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Size in GB of the boot disk (default is 100GB).
+     * </pre>
+     *
+     * <code>int32 boot_disk_size_gb = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearBootDiskSizeGb() {
+
+      bootDiskSizeGb_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.DiskSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.DiskSpec)
+  private static final com.google.cloud.aiplatform.v1.DiskSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.DiskSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.DiskSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<DiskSpec> PARSER =
+      new com.google.protobuf.AbstractParser<DiskSpec>() {
+        @java.lang.Override
+        public DiskSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new DiskSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<DiskSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<DiskSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DiskSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DiskSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DiskSpecOrBuilder.java
new file mode 100644
index 000000000..cdaed1fef
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/DiskSpecOrBuilder.java
@@ -0,0 +1,67 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface DiskSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.DiskSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Type of the boot disk (default is "pd-ssd").
+   * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+   * "pd-standard" (Persistent Disk Hard Disk Drive).
+   * </pre>
+   *
+   * <code>string boot_disk_type = 1;</code>
+   *
+   * @return The bootDiskType.
+   */
+  java.lang.String getBootDiskType();
+  /**
+   *
+   *
+   * <pre>
+   * Type of the boot disk (default is "pd-ssd").
+   * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+   * "pd-standard" (Persistent Disk Hard Disk Drive).
+   * </pre>
+   *
+   * <code>string boot_disk_type = 1;</code>
+   *
+   * @return The bytes for bootDiskType.
+   */
+  com.google.protobuf.ByteString getBootDiskTypeBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Size in GB of the boot disk (default is 100GB).
+   * </pre>
+   *
+   * <code>int32 boot_disk_size_gb = 2;</code>
+   *
+   * @return The bootDiskSizeGb.
+   */
+  int getBootDiskSizeGb();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpec.java
new file mode 100644
index 000000000..dab2bd986
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpec.java
@@ -0,0 +1,664 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents a customer-managed encryption key spec that can be applied to
+ * a top-level resource.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.EncryptionSpec}
+ */
+public final class EncryptionSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.EncryptionSpec)
+    EncryptionSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use EncryptionSpec.newBuilder() to construct.
+  private EncryptionSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private EncryptionSpec() {
+    kmsKeyName_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new EncryptionSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private EncryptionSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              kmsKeyName_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EncryptionSpecProto
+        .internal_static_google_cloud_aiplatform_v1_EncryptionSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EncryptionSpecProto
+        .internal_static_google_cloud_aiplatform_v1_EncryptionSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.EncryptionSpec.class,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder.class);
+  }
+
+  public static final int KMS_KEY_NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object kmsKeyName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The kmsKeyName.
+   */
+  @java.lang.Override
+  public java.lang.String getKmsKeyName() {
+    java.lang.Object ref = kmsKeyName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      kmsKeyName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for kmsKeyName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getKmsKeyNameBytes() {
+    java.lang.Object ref = kmsKeyName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      kmsKeyName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getKmsKeyNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, kmsKeyName_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getKmsKeyNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, kmsKeyName_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.EncryptionSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.EncryptionSpec other =
+        (com.google.cloud.aiplatform.v1.EncryptionSpec) obj;
+
+    if (!getKmsKeyName().equals(other.getKmsKeyName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + KMS_KEY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getKmsKeyName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.EncryptionSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a customer-managed encryption key spec that can be applied to
+   * a top-level resource.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.EncryptionSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.EncryptionSpec)
+      com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1_EncryptionSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1_EncryptionSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.EncryptionSpec.class,
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      kmsKeyName_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1_EncryptionSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.EncryptionSpec build() {
+      com.google.cloud.aiplatform.v1.EncryptionSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.EncryptionSpec buildPartial() {
+      com.google.cloud.aiplatform.v1.EncryptionSpec result =
+          new com.google.cloud.aiplatform.v1.EncryptionSpec(this);
+      result.kmsKeyName_ = kmsKeyName_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.EncryptionSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.EncryptionSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.EncryptionSpec other) {
+      if (other == com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()) return this;
+      if (!other.getKmsKeyName().isEmpty()) {
+        kmsKeyName_ = other.kmsKeyName_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.EncryptionSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.EncryptionSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object kmsKeyName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The kmsKeyName.
+     */
+    public java.lang.String getKmsKeyName() {
+      java.lang.Object ref = kmsKeyName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        kmsKeyName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for kmsKeyName.
+     */
+    public com.google.protobuf.ByteString getKmsKeyNameBytes() {
+      java.lang.Object ref = kmsKeyName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        kmsKeyName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The kmsKeyName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKmsKeyName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      kmsKeyName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearKmsKeyName() {
+
+      kmsKeyName_ = getDefaultInstance().getKmsKeyName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for kmsKeyName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKmsKeyNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      kmsKeyName_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.EncryptionSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.EncryptionSpec)
+  private static final com.google.cloud.aiplatform.v1.EncryptionSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.EncryptionSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.EncryptionSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<EncryptionSpec> PARSER =
+      new com.google.protobuf.AbstractParser<EncryptionSpec>() {
+        @java.lang.Override
+        public EncryptionSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new EncryptionSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<EncryptionSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<EncryptionSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecOrBuilder.java
new file mode 100644
index 000000000..27deda3a3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface EncryptionSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.EncryptionSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The kmsKeyName.
+   */
+  java.lang.String getKmsKeyName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for kmsKeyName.
+   */
+  com.google.protobuf.ByteString getKmsKeyNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecProto.java
new file mode 100644
index 000000000..690221ab0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EncryptionSpecProto.java
@@ -0,0 +1,78 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class EncryptionSpecProto {
+  private EncryptionSpecProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_EncryptionSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_EncryptionSpec_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n0google/cloud/aiplatform/v1/encryption_"
+          + "spec.proto\022\032google.cloud.aiplatform.v1\032\037"
+          + "google/api/field_behavior.proto\032\034google/"
+          + "api/annotations.proto\"+\n\016EncryptionSpec\022"
+          + "\031\n\014kms_key_name\030\001 \001(\tB\003\340A\002B}\n\036com.google"
+          + ".cloud.aiplatform.v1B\023EncryptionSpecProt"
+          + "oP\001ZDgoogle.golang.org/genproto/googleap"
+          + "is/cloud/aiplatform/v1;aiplatformb\006proto"
+          + "3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_EncryptionSpec_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_EncryptionSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_EncryptionSpec_descriptor,
+            new java.lang.String[] {
+              "KmsKeyName",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Endpoint.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Endpoint.java
new file mode 100644
index 000000000..140da54f3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Endpoint.java
@@ -0,0 +1,3395 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Models are deployed into it, and afterwards Endpoint is called to obtain
+ * predictions and explanations.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.Endpoint}
+ */
+public final class Endpoint extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Endpoint)
+    EndpointOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Endpoint.newBuilder() to construct.
+  private Endpoint(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private Endpoint() {
+    name_ = "";
+    displayName_ = "";
+    description_ = "";
+    deployedModels_ = java.util.Collections.emptyList();
+    etag_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new Endpoint();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Endpoint(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              description_ = s;
+              break;
+            }
+          case 34:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                deployedModels_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.DeployedModel>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              deployedModels_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.DeployedModel.parser(), extensionRegistry));
+              break;
+            }
+          case 42:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                trafficSplit_ =
+                    com.google.protobuf.MapField.newMapField(
+                        TrafficSplitDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000002;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> trafficSplit__ =
+                  input.readMessage(
+                      TrafficSplitDefaultEntryHolder.defaultEntry.getParserForType(),
+                      extensionRegistry);
+              trafficSplit_.getMutableMap().put(trafficSplit__.getKey(), trafficSplit__.getValue());
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              etag_ = s;
+              break;
+            }
+          case 58:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000004;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 66:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 74:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 82:
+            {
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EncryptionSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        deployedModels_ = java.util.Collections.unmodifiableList(deployedModels_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointProto
+        .internal_static_google_cloud_aiplatform_v1_Endpoint_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 5:
+        return internalGetTrafficSplit();
+      case 7:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointProto
+        .internal_static_google_cloud_aiplatform_v1_Endpoint_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.Endpoint.class,
+            com.google.cloud.aiplatform.v1.Endpoint.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the Endpoint.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the Endpoint.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the Endpoint.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the Endpoint.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DESCRIPTION_FIELD_NUMBER = 3;
+  private volatile java.lang.Object description_;
+  /**
+   *
+   *
+   * <pre>
+   * The description of the Endpoint.
+   * </pre>
+   *
+   * <code>string description = 3;</code>
+   *
+   * @return The description.
+   */
+  @java.lang.Override
+  public java.lang.String getDescription() {
+    java.lang.Object ref = description_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      description_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The description of the Endpoint.
+   * </pre>
+   *
+   * <code>string description = 3;</code>
+   *
+   * @return The bytes for description.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDescriptionBytes() {
+    java.lang.Object ref = description_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      description_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DEPLOYED_MODELS_FIELD_NUMBER = 4;
+  private java.util.List<com.google.cloud.aiplatform.v1.DeployedModel> deployedModels_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.DeployedModel> getDeployedModelsList() {
+    return deployedModels_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+      getDeployedModelsOrBuilderList() {
+    return deployedModels_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getDeployedModelsCount() {
+    return deployedModels_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModels(int index) {
+    return deployedModels_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelsOrBuilder(
+      int index) {
+    return deployedModels_.get(index);
+  }
+
+  public static final int TRAFFIC_SPLIT_FIELD_NUMBER = 5;
+
+  private static final class TrafficSplitDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.Integer>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.EndpointProto
+                .internal_static_google_cloud_aiplatform_v1_Endpoint_TrafficSplitEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.INT32,
+            0);
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.Integer> trafficSplit_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+      internalGetTrafficSplit() {
+    if (trafficSplit_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(
+          TrafficSplitDefaultEntryHolder.defaultEntry);
+    }
+    return trafficSplit_;
+  }
+
+  public int getTrafficSplitCount() {
+    return internalGetTrafficSplit().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  @java.lang.Override
+  public boolean containsTrafficSplit(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetTrafficSplit().getMap().containsKey(key);
+  }
+  /** Use {@link #getTrafficSplitMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit() {
+    return getTrafficSplitMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap() {
+    return internalGetTrafficSplit().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  @java.lang.Override
+  public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  @java.lang.Override
+  public int getTrafficSplitOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int ETAG_FIELD_NUMBER = 6;
+  private volatile java.lang.Object etag_;
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 6;</code>
+   *
+   * @return The etag.
+   */
+  @java.lang.Override
+  public java.lang.String getEtag() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      etag_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 6;</code>
+   *
+   * @return The bytes for etag.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEtagBytes() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      etag_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 7;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.EndpointProto
+                .internal_static_google_cloud_aiplatform_v1_Endpoint_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 8;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 9;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 10;
+  private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (!getDescriptionBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, description_);
+    }
+    for (int i = 0; i < deployedModels_.size(); i++) {
+      output.writeMessage(4, deployedModels_.get(i));
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetTrafficSplit(), TrafficSplitDefaultEntryHolder.defaultEntry, 5);
+    if (!getEtagBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 6, etag_);
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 7);
+    if (createTime_ != null) {
+      output.writeMessage(8, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(9, getUpdateTime());
+    }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(10, getEncryptionSpec());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (!getDescriptionBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, description_);
+    }
+    for (int i = 0; i < deployedModels_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, deployedModels_.get(i));
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.Integer> entry :
+        internalGetTrafficSplit().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> trafficSplit__ =
+          TrafficSplitDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, trafficSplit__);
+    }
+    if (!getEtagBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, etag_);
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.String> entry :
+        internalGetLabels().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+          LabelsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, labels__);
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getUpdateTime());
+    }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(10, getEncryptionSpec());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.Endpoint)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.Endpoint other = (com.google.cloud.aiplatform.v1.Endpoint) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (!getDescription().equals(other.getDescription())) return false;
+    if (!getDeployedModelsList().equals(other.getDeployedModelsList())) return false;
+    if (!internalGetTrafficSplit().equals(other.internalGetTrafficSplit())) return false;
+    if (!getEtag().equals(other.getEtag())) return false;
+    if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasUpdateTime() != other.hasUpdateTime()) return false;
+    if (hasUpdateTime()) {
+      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
+    }
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    hash = (37 * hash) + DESCRIPTION_FIELD_NUMBER;
+    hash = (53 * hash) + getDescription().hashCode();
+    if (getDeployedModelsCount() > 0) {
+      hash = (37 * hash) + DEPLOYED_MODELS_FIELD_NUMBER;
+      hash = (53 * hash) + getDeployedModelsList().hashCode();
+    }
+    if (!internalGetTrafficSplit().getMap().isEmpty()) {
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+      throws java.io.IOException {
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+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.Endpoint parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.Endpoint prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Models are deployed into it, and afterwards Endpoint is called to obtain
+   * predictions and explanations.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.Endpoint}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.Endpoint)
+      com.google.cloud.aiplatform.v1.EndpointOrBuilder {
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+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
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+          return internalGetMutableTrafficSplit();
+        case 7:
+          return internalGetMutableLabels();
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+          throw new RuntimeException("Invalid map field number: " + number);
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+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+          .ensureFieldAccessorsInitialized(
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+              com.google.cloud.aiplatform.v1.Endpoint.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.Endpoint.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getDeployedModelsFieldBuilder();
+      }
+    }
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+    @java.lang.Override
+    public Builder clear() {
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+      name_ = "";
+
+      displayName_ = "";
+
+      description_ = "";
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+      if (deployedModelsBuilder_ == null) {
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+      internalGetMutableLabels().clear();
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+        createTimeBuilder_ = null;
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+        encryptionSpecBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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+          .internal_static_google_cloud_aiplatform_v1_Endpoint_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Endpoint getDefaultInstanceForType() {
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+    @java.lang.Override
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+      return result;
+    }
+
+    @java.lang.Override
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+        result.deployedModels_ = deployedModelsBuilder_.build();
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+      result.labels_ = internalGetLabels();
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+      onBuilt();
+      return result;
+    }
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+    @java.lang.Override
+    public Builder clone() {
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+    @java.lang.Override
+    public Builder setField(
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+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
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+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    @java.lang.Override
+    public Builder setRepeatedField(
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+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.Endpoint) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.Endpoint) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.Endpoint other) {
+      if (other == com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (!other.getDisplayName().isEmpty()) {
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+        onChanged();
+      }
+      if (!other.getDescription().isEmpty()) {
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+        onChanged();
+      }
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+        if (!other.deployedModels_.isEmpty()) {
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+      if (other.hasEncryptionSpec()) {
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+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.Endpoint parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.Endpoint) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the Endpoint.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the Endpoint.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the Endpoint.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the Endpoint.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the Endpoint.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Endpoint.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Endpoint.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Endpoint.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Endpoint.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Endpoint.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object description_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Endpoint.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @return The description.
+     */
+    public java.lang.String getDescription() {
+      java.lang.Object ref = description_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        description_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Endpoint.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @return The bytes for description.
+     */
+    public com.google.protobuf.ByteString getDescriptionBytes() {
+      java.lang.Object ref = description_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        description_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Endpoint.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @param value The description to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDescription(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      description_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Endpoint.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDescription() {
+
+      description_ = getDefaultInstance().getDescription();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Endpoint.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @param value The bytes for description to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDescriptionBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      description_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.DeployedModel> deployedModels_ =
+        java.util.Collections.emptyList();
+
+    private void ensureDeployedModelsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        deployedModels_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.DeployedModel>(deployedModels_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DeployedModel,
+            com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+            com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+        deployedModelsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.DeployedModel> getDeployedModelsList() {
+      if (deployedModelsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(deployedModels_);
+      } else {
+        return deployedModelsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getDeployedModelsCount() {
+      if (deployedModelsBuilder_ == null) {
+        return deployedModels_.size();
+      } else {
+        return deployedModelsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModel getDeployedModels(int index) {
+      if (deployedModelsBuilder_ == null) {
+        return deployedModels_.get(index);
+      } else {
+        return deployedModelsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setDeployedModels(
+        int index, com.google.cloud.aiplatform.v1.DeployedModel value) {
+      if (deployedModelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDeployedModelsIsMutable();
+        deployedModels_.set(index, value);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setDeployedModels(
+        int index, com.google.cloud.aiplatform.v1.DeployedModel.Builder builderForValue) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        deployedModels_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        deployedModelsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addDeployedModels(com.google.cloud.aiplatform.v1.DeployedModel value) {
+      if (deployedModelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDeployedModelsIsMutable();
+        deployedModels_.add(value);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addDeployedModels(
+        int index, com.google.cloud.aiplatform.v1.DeployedModel value) {
+      if (deployedModelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDeployedModelsIsMutable();
+        deployedModels_.add(index, value);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addDeployedModels(
+        com.google.cloud.aiplatform.v1.DeployedModel.Builder builderForValue) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        deployedModels_.add(builderForValue.build());
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addDeployedModels(
+        int index, com.google.cloud.aiplatform.v1.DeployedModel.Builder builderForValue) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        deployedModels_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllDeployedModels(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.DeployedModel> values) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, deployedModels_);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearDeployedModels() {
+      if (deployedModelsBuilder_ == null) {
+        deployedModels_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removeDeployedModels(int index) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        deployedModels_.remove(index);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModel.Builder getDeployedModelsBuilder(
+        int index) {
+      return getDeployedModelsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelsOrBuilder(
+        int index) {
+      if (deployedModelsBuilder_ == null) {
+        return deployedModels_.get(index);
+      } else {
+        return deployedModelsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+        getDeployedModelsOrBuilderList() {
+      if (deployedModelsBuilder_ != null) {
+        return deployedModelsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(deployedModels_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModel.Builder addDeployedModelsBuilder() {
+      return getDeployedModelsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModel.Builder addDeployedModelsBuilder(
+        int index) {
+      return getDeployedModelsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.DeployedModel.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The models deployed in this Endpoint.
+     * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+     * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.DeployedModel.Builder>
+        getDeployedModelsBuilderList() {
+      return getDeployedModelsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DeployedModel,
+            com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+            com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+        getDeployedModelsFieldBuilder() {
+      if (deployedModelsBuilder_ == null) {
+        deployedModelsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DeployedModel,
+                com.google.cloud.aiplatform.v1.DeployedModel.Builder,
+                com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>(
+                deployedModels_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        deployedModels_ = null;
+      }
+      return deployedModelsBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer> trafficSplit_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+        internalGetTrafficSplit() {
+      if (trafficSplit_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(
+            TrafficSplitDefaultEntryHolder.defaultEntry);
+      }
+      return trafficSplit_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+        internalGetMutableTrafficSplit() {
+      onChanged();
+      ;
+      if (trafficSplit_ == null) {
+        trafficSplit_ =
+            com.google.protobuf.MapField.newMapField(TrafficSplitDefaultEntryHolder.defaultEntry);
+      }
+      if (!trafficSplit_.isMutable()) {
+        trafficSplit_ = trafficSplit_.copy();
+      }
+      return trafficSplit_;
+    }
+
+    public int getTrafficSplitCount() {
+      return internalGetTrafficSplit().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If a DeployedModel's ID is not listed in this map, then it receives no
+     * traffic.
+     * The traffic percentage values must add up to 100, or map must be empty if
+     * the Endpoint is to not accept any traffic at a moment.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+     */
+    @java.lang.Override
+    public boolean containsTrafficSplit(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetTrafficSplit().getMap().containsKey(key);
+    }
+    /** Use {@link #getTrafficSplitMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit() {
+      return getTrafficSplitMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If a DeployedModel's ID is not listed in this map, then it receives no
+     * traffic.
+     * The traffic percentage values must add up to 100, or map must be empty if
+     * the Endpoint is to not accept any traffic at a moment.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap() {
+      return internalGetTrafficSplit().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If a DeployedModel's ID is not listed in this map, then it receives no
+     * traffic.
+     * The traffic percentage values must add up to 100, or map must be empty if
+     * the Endpoint is to not accept any traffic at a moment.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+     */
+    @java.lang.Override
+    public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If a DeployedModel's ID is not listed in this map, then it receives no
+     * traffic.
+     * The traffic percentage values must add up to 100, or map must be empty if
+     * the Endpoint is to not accept any traffic at a moment.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+     */
+    @java.lang.Override
+    public int getTrafficSplitOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearTrafficSplit() {
+      internalGetMutableTrafficSplit().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If a DeployedModel's ID is not listed in this map, then it receives no
+     * traffic.
+     * The traffic percentage values must add up to 100, or map must be empty if
+     * the Endpoint is to not accept any traffic at a moment.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+     */
+    public Builder removeTrafficSplit(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableTrafficSplit().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.Integer> getMutableTrafficSplit() {
+      return internalGetMutableTrafficSplit().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If a DeployedModel's ID is not listed in this map, then it receives no
+     * traffic.
+     * The traffic percentage values must add up to 100, or map must be empty if
+     * the Endpoint is to not accept any traffic at a moment.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+     */
+    public Builder putTrafficSplit(java.lang.String key, int value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+
+      internalGetMutableTrafficSplit().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A map from a DeployedModel's ID to the percentage of this Endpoint's
+     * traffic that should be forwarded to that DeployedModel.
+     * If a DeployedModel's ID is not listed in this map, then it receives no
+     * traffic.
+     * The traffic percentage values must add up to 100, or map must be empty if
+     * the Endpoint is to not accept any traffic at a moment.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+     */
+    public Builder putAllTrafficSplit(java.util.Map<java.lang.String, java.lang.Integer> values) {
+      internalGetMutableTrafficSplit().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private java.lang.Object etag_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @return The etag.
+     */
+    public java.lang.String getEtag() {
+      java.lang.Object ref = etag_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        etag_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @return The bytes for etag.
+     */
+    public com.google.protobuf.ByteString getEtagBytes() {
+      java.lang.Object ref = etag_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        etag_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @param value The etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtag(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEtag() {
+
+      etag_ = getDefaultInstance().getEtag();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 6;</code>
+     *
+     * @param value The bytes for etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtagBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Endpoints.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Endpoints.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Endpoints.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Endpoints.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Endpoints.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Endpoints.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Endpoints.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 7;</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Endpoint was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Endpoint)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Endpoint)
+  private static final com.google.cloud.aiplatform.v1.Endpoint DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Endpoint();
+  }
+
+  public static com.google.cloud.aiplatform.v1.Endpoint getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<Endpoint> PARSER =
+      new com.google.protobuf.AbstractParser<Endpoint>() {
+        @java.lang.Override
+        public Endpoint parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Endpoint(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<Endpoint> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<Endpoint> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Endpoint getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointName.java
new file mode 100644
index 000000000..c83fa3a0f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointName.java
@@ -0,0 +1,223 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class EndpointName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_ENDPOINT =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/endpoints/{endpoint}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String endpoint;
+
+  @Deprecated
+  protected EndpointName() {
+    project = null;
+    location = null;
+    endpoint = null;
+  }
+
+  private EndpointName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    endpoint = Preconditions.checkNotNull(builder.getEndpoint());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getEndpoint() {
+    return endpoint;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static EndpointName of(String project, String location, String endpoint) {
+    return newBuilder().setProject(project).setLocation(location).setEndpoint(endpoint).build();
+  }
+
+  public static String format(String project, String location, String endpoint) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setEndpoint(endpoint)
+        .build()
+        .toString();
+  }
+
+  public static EndpointName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_ENDPOINT.validatedMatch(
+            formattedString, "EndpointName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("endpoint"));
+  }
+
+  public static List<EndpointName> parseList(List<String> formattedStrings) {
+    List<EndpointName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<EndpointName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (EndpointName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_ENDPOINT.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (endpoint != null) {
+            fieldMapBuilder.put("endpoint", endpoint);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_ENDPOINT.instantiate(
+        "project", project, "location", location, "endpoint", endpoint);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      EndpointName that = ((EndpointName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.endpoint, that.endpoint);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(endpoint);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/endpoints/{endpoint}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String endpoint;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getEndpoint() {
+      return endpoint;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setEndpoint(String endpoint) {
+      this.endpoint = endpoint;
+      return this;
+    }
+
+    private Builder(EndpointName endpointName) {
+      project = endpointName.project;
+      location = endpointName.location;
+      endpoint = endpointName.endpoint;
+    }
+
+    public EndpointName build() {
+      return new EndpointName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointOrBuilder.java
new file mode 100644
index 000000000..83721873c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointOrBuilder.java
@@ -0,0 +1,473 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface EndpointOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Endpoint)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the Endpoint.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the Endpoint.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the Endpoint.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the Endpoint.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The description of the Endpoint.
+   * </pre>
+   *
+   * <code>string description = 3;</code>
+   *
+   * @return The description.
+   */
+  java.lang.String getDescription();
+  /**
+   *
+   *
+   * <pre>
+   * The description of the Endpoint.
+   * </pre>
+   *
+   * <code>string description = 3;</code>
+   *
+   * @return The bytes for description.
+   */
+  com.google.protobuf.ByteString getDescriptionBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.DeployedModel> getDeployedModelsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.DeployedModel getDeployedModels(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getDeployedModelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.DeployedModelOrBuilder>
+      getDeployedModelsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The models deployed in this Endpoint.
+   * To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+   * [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModel deployed_models = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.DeployedModelOrBuilder getDeployedModelsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  int getTrafficSplitCount();
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  boolean containsTrafficSplit(java.lang.String key);
+  /** Use {@link #getTrafficSplitMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit();
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap();
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  int getTrafficSplitOrDefault(java.lang.String key, int defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * A map from a DeployedModel's ID to the percentage of this Endpoint's
+   * traffic that should be forwarded to that DeployedModel.
+   * If a DeployedModel's ID is not listed in this map, then it receives no
+   * traffic.
+   * The traffic percentage values must add up to 100, or map must be empty if
+   * the Endpoint is to not accept any traffic at a moment.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 5;</code>
+   */
+  int getTrafficSplitOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 6;</code>
+   *
+   * @return The etag.
+   */
+  java.lang.String getEtag();
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 6;</code>
+   *
+   * @return The bytes for etag.
+   */
+  com.google.protobuf.ByteString getEtagBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Endpoints.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 7;</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Endpoint was last updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 10;</code>
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointProto.java
new file mode 100644
index 000000000..e4e9e1dda
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointProto.java
@@ -0,0 +1,172 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class EndpointProto {
+  private EndpointProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Endpoint_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Endpoint_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Endpoint_TrafficSplitEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Endpoint_TrafficSplitEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Endpoint_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Endpoint_LabelsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeployedModel_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeployedModel_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n)google/cloud/aiplatform/v1/endpoint.pr"
+          + "oto\022\032google.cloud.aiplatform.v1\032\037google/"
+          + "api/field_behavior.proto\032\031google/api/res"
+          + "ource.proto\0320google/cloud/aiplatform/v1/"
+          + "encryption_spec.proto\0322google/cloud/aipl"
+          + "atform/v1/machine_resources.proto\032\037googl"
+          + "e/protobuf/timestamp.proto\032\034google/api/a"
+          + "nnotations.proto\"\261\005\n\010Endpoint\022\021\n\004name\030\001 "
+          + "\001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022\023\n\013d"
+          + "escription\030\003 \001(\t\022G\n\017deployed_models\030\004 \003("
+          + "\0132).google.cloud.aiplatform.v1.DeployedM"
+          + "odelB\003\340A\003\022M\n\rtraffic_split\030\005 \003(\01326.googl"
+          + "e.cloud.aiplatform.v1.Endpoint.TrafficSp"
+          + "litEntry\022\014\n\004etag\030\006 \001(\t\022@\n\006labels\030\007 \003(\01320"
+          + ".google.cloud.aiplatform.v1.Endpoint.Lab"
+          + "elsEntry\0224\n\013create_time\030\010 \001(\0132\032.google.p"
+          + "rotobuf.TimestampB\003\340A\003\0224\n\013update_time\030\t "
+          + "\001(\0132\032.google.protobuf.TimestampB\003\340A\003\022C\n\017"
+          + "encryption_spec\030\n \001(\0132*.google.cloud.aip"
+          + "latform.v1.EncryptionSpec\0323\n\021TrafficSpli"
+          + "tEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\005:\0028\001\032-"
+          + "\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001("
+          + "\t:\0028\001:e\352Ab\n\"aiplatform.googleapis.com/En"
+          + "dpoint\022<projects/{project}/locations/{lo"
+          + "cation}/endpoints/{endpoint}\"\265\003\n\rDeploye"
+          + "dModel\022M\n\023dedicated_resources\030\007 \001(\0132..go"
+          + "ogle.cloud.aiplatform.v1.DedicatedResour"
+          + "cesH\000\022M\n\023automatic_resources\030\010 \001(\0132..goo"
+          + "gle.cloud.aiplatform.v1.AutomaticResourc"
+          + "esH\000\022\017\n\002id\030\001 \001(\tB\003\340A\003\0226\n\005model\030\002 \001(\tB\'\340A"
+          + "\002\372A!\n\037aiplatform.googleapis.com/Model\022\024\n"
+          + "\014display_name\030\003 \001(\t\0224\n\013create_time\030\006 \001(\013"
+          + "2\032.google.protobuf.TimestampB\003\340A\003\022\027\n\017ser"
+          + "vice_account\030\013 \001(\t\022!\n\031disable_container_"
+          + "logging\030\017 \001(\010\022\035\n\025enable_access_logging\030\r"
+          + " \001(\010B\026\n\024prediction_resourcesBw\n\036com.goog"
+          + "le.cloud.aiplatform.v1B\rEndpointProtoP\001Z"
+          + "Dgoogle.golang.org/genproto/googleapis/c"
+          + "loud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.MachineResourcesProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_Endpoint_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Endpoint_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Endpoint_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "Description",
+              "DeployedModels",
+              "TrafficSplit",
+              "Etag",
+              "Labels",
+              "CreateTime",
+              "UpdateTime",
+              "EncryptionSpec",
+            });
+    internal_static_google_cloud_aiplatform_v1_Endpoint_TrafficSplitEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_Endpoint_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Endpoint_TrafficSplitEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Endpoint_TrafficSplitEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_Endpoint_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_Endpoint_descriptor.getNestedTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_Endpoint_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Endpoint_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeployedModel_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_DeployedModel_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeployedModel_descriptor,
+            new java.lang.String[] {
+              "DedicatedResources",
+              "AutomaticResources",
+              "Id",
+              "Model",
+              "DisplayName",
+              "CreateTime",
+              "ServiceAccount",
+              "DisableContainerLogging",
+              "EnableAccessLogging",
+              "PredictionResources",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.MachineResourcesProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceProto.java
new file mode 100644
index 000000000..59d2c1d2b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceProto.java
@@ -0,0 +1,356 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class EndpointServiceProto {
+  private EndpointServiceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListEndpointsRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListEndpointsRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeployModelRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeployModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeployModelRequest_TrafficSplitEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeployModelRequest_TrafficSplitEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeployModelResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeployModelResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_TrafficSplitEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_TrafficSplitEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n1google/cloud/aiplatform/v1/endpoint_se"
+          + "rvice.proto\022\032google.cloud.aiplatform.v1\032"
+          + "\034google/api/annotations.proto\032\027google/ap"
+          + "i/client.proto\032\037google/api/field_behavio"
+          + "r.proto\032\031google/api/resource.proto\032)goog"
+          + "le/cloud/aiplatform/v1/endpoint.proto\032*g"
+          + "oogle/cloud/aiplatform/v1/operation.prot"
+          + "o\032#google/longrunning/operations.proto\032 "
+          + "google/protobuf/field_mask.proto\"\217\001\n\025Cre"
+          + "ateEndpointRequest\0229\n\006parent\030\001 \001(\tB)\340A\002\372"
+          + "A#\n!locations.googleapis.com/Location\022;\n"
+          + "\010endpoint\030\002 \001(\0132$.google.cloud.aiplatfor"
+          + "m.v1.EndpointB\003\340A\002\"q\n\037CreateEndpointOper"
+          + "ationMetadata\022N\n\020generic_metadata\030\001 \001(\0132"
+          + "4.google.cloud.aiplatform.v1.GenericOper"
+          + "ationMetadata\"N\n\022GetEndpointRequest\0228\n\004n"
+          + "ame\030\001 \001(\tB*\340A\002\372A$\n\"aiplatform.googleapis"
+          + ".com/Endpoint\"\335\001\n\024ListEndpointsRequest\0229"
+          + "\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.google"
+          + "apis.com/Location\022\023\n\006filter\030\002 \001(\tB\003\340A\001\022\026"
+          + "\n\tpage_size\030\003 \001(\005B\003\340A\001\022\027\n\npage_token\030\004 \001"
+          + "(\tB\003\340A\001\0222\n\tread_mask\030\005 \001(\0132\032.google.prot"
+          + "obuf.FieldMaskB\003\340A\001\022\020\n\010order_by\030\006 \001(\t\"i\n"
+          + "\025ListEndpointsResponse\0227\n\tendpoints\030\001 \003("
+          + "\0132$.google.cloud.aiplatform.v1.Endpoint\022"
+          + "\027\n\017next_page_token\030\002 \001(\t\"\212\001\n\025UpdateEndpo"
+          + "intRequest\022;\n\010endpoint\030\001 \001(\0132$.google.cl"
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+          + "e_mask\030\002 \001(\0132\032.google.protobuf.FieldMask"
+          + "B\003\340A\002\"Q\n\025DeleteEndpointRequest\0228\n\004name\030\001"
+          + " \001(\tB*\340A\002\372A$\n\"aiplatform.googleapis.com/"
+          + "Endpoint\"\250\002\n\022DeployModelRequest\022<\n\010endpo"
+          + "int\030\001 \001(\tB*\340A\002\372A$\n\"aiplatform.googleapis"
+          + ".com/Endpoint\022F\n\016deployed_model\030\002 \001(\0132)."
+          + "google.cloud.aiplatform.v1.DeployedModel"
+          + "B\003\340A\002\022W\n\rtraffic_split\030\003 \003(\0132@.google.cl"
+          + "oud.aiplatform.v1.DeployModelRequest.Tra"
+          + "fficSplitEntry\0323\n\021TrafficSplitEntry\022\013\n\003k"
+          + "ey\030\001 \001(\t\022\r\n\005value\030\002 \001(\005:\0028\001\"X\n\023DeployMod"
+          + "elResponse\022A\n\016deployed_model\030\001 \001(\0132).goo"
+          + "gle.cloud.aiplatform.v1.DeployedModel\"n\n"
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+          + "\n\"aiplatform.googleapis.com/Endpoint\022\036\n\021"
+          + "deployed_model_id\030\002 \001(\tB\003\340A\002\022Y\n\rtraffic_"
+          + "split\030\003 \003(\0132B.google.cloud.aiplatform.v1"
+          + ".UndeployModelRequest.TrafficSplitEntry\032"
+          + "3\n\021TrafficSplitEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005val"
+          + "ue\030\002 \001(\005:\0028\001\"\027\n\025UndeployModelResponse\"p\n"
+          + "\036UndeployModelOperationMetadata\022N\n\020gener"
+          + "ic_metadata\030\001 \001(\01324.google.cloud.aiplatf"
+          + "orm.v1.GenericOperationMetadata2\341\014\n\017Endp"
+          + "ointService\022\343\001\n\016CreateEndpoint\0221.google."
+          + "cloud.aiplatform.v1.CreateEndpointReques"
+          + "t\032\035.google.longrunning.Operation\"\177\202\323\344\223\0029"
+          + "\"-/v1/{parent=projects/*/locations/*}/en"
+          + "dpoints:\010endpoint\332A\017parent,endpoint\312A+\n\010"
+          + "Endpoint\022\037CreateEndpointOperationMetadat"
+          + "a\022\241\001\n\013GetEndpoint\022..google.cloud.aiplatf"
+          + "orm.v1.GetEndpointRequest\032$.google.cloud"
+          + ".aiplatform.v1.Endpoint\"<\202\323\344\223\002/\022-/v1/{na"
+          + "me=projects/*/locations/*/endpoints/*}\332A"
+          + "\004name\022\264\001\n\rListEndpoints\0220.google.cloud.a"
+          + "iplatform.v1.ListEndpointsRequest\0321.goog"
+          + "le.cloud.aiplatform.v1.ListEndpointsResp"
+          + "onse\">\202\323\344\223\002/\022-/v1/{parent=projects/*/loc"
+          + "ations/*}/endpoints\332A\006parent\022\312\001\n\016UpdateE"
+          + "ndpoint\0221.google.cloud.aiplatform.v1.Upd"
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+          + "form.v1.Endpoint\"_\202\323\344\223\002B26/v1/{endpoint."
+          + "name=projects/*/locations/*/endpoints/*}"
+          + ":\010endpoint\332A\024endpoint,update_mask\022\323\001\n\016De"
+          + "leteEndpoint\0221.google.cloud.aiplatform.v"
+          + "1.DeleteEndpointRequest\032\035.google.longrun"
+          + "ning.Operation\"o\202\323\344\223\002/*-/v1/{name=projec"
+          + "ts/*/locations/*/endpoints/*}\332A\004name\312A0\n"
+          + "\025google.protobuf.Empty\022\027DeleteOperationM"
+          + "etadata\022\205\002\n\013DeployModel\022..google.cloud.a"
+          + "iplatform.v1.DeployModelRequest\032\035.google"
+          + ".longrunning.Operation\"\246\001\202\323\344\223\002B\"=/v1/{en"
+          + "dpoint=projects/*/locations/*/endpoints/"
+          + "*}:deployModel:\001*\332A%endpoint,deployed_mo"
+          + "del,traffic_split\312A3\n\023DeployModelRespons"
+          + "e\022\034DeployModelOperationMetadata\022\222\002\n\rUnde"
+          + "ployModel\0220.google.cloud.aiplatform.v1.U"
+          + "ndeployModelRequest\032\035.google.longrunning"
+          + ".Operation\"\257\001\202\323\344\223\002D\"?/v1/{endpoint=proje"
+          + "cts/*/locations/*/endpoints/*}:undeployM"
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+          + "orm.googleapis.com\322A.https://www.googlea"
+          + "pis.com/auth/cloud-platformB~\n\036com.googl"
+          + "e.cloud.aiplatform.v1B\024EndpointServicePr"
+          + "otoP\001ZDgoogle.golang.org/genproto/google"
+          + "apis/cloud/aiplatform/v1;aiplatformb\006pro"
+          + "to3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+              com.google.api.ClientProto.getDescriptor(),
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EndpointProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.OperationProto.getDescriptor(),
+              com.google.longrunning.OperationsProto.getDescriptor(),
+              com.google.protobuf.FieldMaskProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateEndpointRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Endpoint",
+            });
+    internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateEndpointOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "GenericMetadata",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListEndpointsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_ListEndpointsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListEndpointsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask", "OrderBy",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_descriptor,
+            new java.lang.String[] {
+              "Endpoints", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_descriptor,
+            new java.lang.String[] {
+              "Endpoint", "UpdateMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_descriptor =
+        getDescriptor().getMessageTypes().get(6);
+    internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteEndpointRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeployModelRequest_descriptor =
+        getDescriptor().getMessageTypes().get(7);
+    internal_static_google_cloud_aiplatform_v1_DeployModelRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeployModelRequest_descriptor,
+            new java.lang.String[] {
+              "Endpoint", "DeployedModel", "TrafficSplit",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeployModelRequest_TrafficSplitEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_DeployModelRequest_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_DeployModelRequest_TrafficSplitEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeployModelRequest_TrafficSplitEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeployModelResponse_descriptor =
+        getDescriptor().getMessageTypes().get(8);
+    internal_static_google_cloud_aiplatform_v1_DeployModelResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeployModelResponse_descriptor,
+            new java.lang.String[] {
+              "DeployedModel",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(9);
+    internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeployModelOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "GenericMetadata",
+            });
+    internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_descriptor =
+        getDescriptor().getMessageTypes().get(10);
+    internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_descriptor,
+            new java.lang.String[] {
+              "Endpoint", "DeployedModelId", "TrafficSplit",
+            });
+    internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_TrafficSplitEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_TrafficSplitEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_TrafficSplitEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_descriptor =
+        getDescriptor().getMessageTypes().get(11);
+    internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_descriptor,
+            new java.lang.String[] {});
+    internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(12);
+    internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "GenericMetadata",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.ClientProto.defaultHost);
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.AnnotationsProto.http);
+    registry.add(com.google.api.ClientProto.methodSignature);
+    registry.add(com.google.api.ClientProto.oauthScopes);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    registry.add(com.google.longrunning.OperationsProto.operationInfo);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.api.ClientProto.getDescriptor();
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EndpointProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.OperationProto.getDescriptor();
+    com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.protobuf.FieldMaskProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVar.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVar.java
new file mode 100644
index 000000000..91c7cf23f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVar.java
@@ -0,0 +1,853 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/env_var.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents an environment variable present in a Container or Python Module.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.EnvVar}
+ */
+public final class EnvVar extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.EnvVar)
+    EnvVarOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use EnvVar.newBuilder() to construct.
+  private EnvVar(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private EnvVar() {
+    name_ = "";
+    value_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new EnvVar();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private EnvVar(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              value_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EnvVarProto
+        .internal_static_google_cloud_aiplatform_v1_EnvVar_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EnvVarProto
+        .internal_static_google_cloud_aiplatform_v1_EnvVar_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.EnvVar.class,
+            com.google.cloud.aiplatform.v1.EnvVar.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Name of the environment variable. Must be a valid C identifier.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Name of the environment variable. Must be a valid C identifier.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int VALUE_FIELD_NUMBER = 2;
+  private volatile java.lang.Object value_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Variables that reference a $(VAR_NAME) are expanded
+   * using the previous defined environment variables in the container and
+   * any service environment variables. If a variable cannot be resolved,
+   * the reference in the input string will be unchanged. The $(VAR_NAME)
+   * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+   * references will never be expanded, regardless of whether the variable
+   * exists or not.
+   * </pre>
+   *
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The value.
+   */
+  @java.lang.Override
+  public java.lang.String getValue() {
+    java.lang.Object ref = value_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      value_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Variables that reference a $(VAR_NAME) are expanded
+   * using the previous defined environment variables in the container and
+   * any service environment variables. If a variable cannot be resolved,
+   * the reference in the input string will be unchanged. The $(VAR_NAME)
+   * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+   * references will never be expanded, regardless of whether the variable
+   * exists or not.
+   * </pre>
+   *
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for value.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getValueBytes() {
+    java.lang.Object ref = value_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      value_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getValueBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, value_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getValueBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, value_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.EnvVar)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.EnvVar other = (com.google.cloud.aiplatform.v1.EnvVar) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getValue().equals(other.getValue())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (37 * hash) + VALUE_FIELD_NUMBER;
+    hash = (53 * hash) + getValue().hashCode();
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+    memoizedHashCode = hash;
+    return hash;
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+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseDelimitedFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.EnvVar prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents an environment variable present in a Container or Python Module.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.EnvVar}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.EnvVar)
+      com.google.cloud.aiplatform.v1.EnvVarOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EnvVarProto
+          .internal_static_google_cloud_aiplatform_v1_EnvVar_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EnvVarProto
+          .internal_static_google_cloud_aiplatform_v1_EnvVar_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.EnvVar.class,
+              com.google.cloud.aiplatform.v1.EnvVar.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.EnvVar.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      value_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EnvVarProto
+          .internal_static_google_cloud_aiplatform_v1_EnvVar_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.EnvVar getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.EnvVar.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.EnvVar build() {
+      com.google.cloud.aiplatform.v1.EnvVar result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.EnvVar buildPartial() {
+      com.google.cloud.aiplatform.v1.EnvVar result =
+          new com.google.cloud.aiplatform.v1.EnvVar(this);
+      result.name_ = name_;
+      result.value_ = value_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.EnvVar) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.EnvVar) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.EnvVar other) {
+      if (other == com.google.cloud.aiplatform.v1.EnvVar.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (!other.getValue().isEmpty()) {
+        value_ = other.value_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.EnvVar parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.EnvVar) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. Name of the environment variable. Must be a valid C identifier.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Name of the environment variable. Must be a valid C identifier.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Name of the environment variable. Must be a valid C identifier.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Name of the environment variable. Must be a valid C identifier.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Name of the environment variable. Must be a valid C identifier.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object value_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * using the previous defined environment variables in the container and
+     * any service environment variables. If a variable cannot be resolved,
+     * the reference in the input string will be unchanged. The $(VAR_NAME)
+     * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+     * references will never be expanded, regardless of whether the variable
+     * exists or not.
+     * </pre>
+     *
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The value.
+     */
+    public java.lang.String getValue() {
+      java.lang.Object ref = value_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        value_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * using the previous defined environment variables in the container and
+     * any service environment variables. If a variable cannot be resolved,
+     * the reference in the input string will be unchanged. The $(VAR_NAME)
+     * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+     * references will never be expanded, regardless of whether the variable
+     * exists or not.
+     * </pre>
+     *
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for value.
+     */
+    public com.google.protobuf.ByteString getValueBytes() {
+      java.lang.Object ref = value_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        value_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * using the previous defined environment variables in the container and
+     * any service environment variables. If a variable cannot be resolved,
+     * the reference in the input string will be unchanged. The $(VAR_NAME)
+     * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+     * references will never be expanded, regardless of whether the variable
+     * exists or not.
+     * </pre>
+     *
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The value to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValue(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      value_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * using the previous defined environment variables in the container and
+     * any service environment variables. If a variable cannot be resolved,
+     * the reference in the input string will be unchanged. The $(VAR_NAME)
+     * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+     * references will never be expanded, regardless of whether the variable
+     * exists or not.
+     * </pre>
+     *
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearValue() {
+
+      value_ = getDefaultInstance().getValue();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * using the previous defined environment variables in the container and
+     * any service environment variables. If a variable cannot be resolved,
+     * the reference in the input string will be unchanged. The $(VAR_NAME)
+     * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+     * references will never be expanded, regardless of whether the variable
+     * exists or not.
+     * </pre>
+     *
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for value to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValueBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      value_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.EnvVar)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.EnvVar)
+  private static final com.google.cloud.aiplatform.v1.EnvVar DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.EnvVar();
+  }
+
+  public static com.google.cloud.aiplatform.v1.EnvVar getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<EnvVar> PARSER =
+      new com.google.protobuf.AbstractParser<EnvVar>() {
+        @java.lang.Override
+        public EnvVar parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new EnvVar(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<EnvVar> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<EnvVar> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EnvVar getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVarOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVarOrBuilder.java
new file mode 100644
index 000000000..a1db21820
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVarOrBuilder.java
@@ -0,0 +1,87 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/env_var.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface EnvVarOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.EnvVar)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Name of the environment variable. Must be a valid C identifier.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Name of the environment variable. Must be a valid C identifier.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Variables that reference a $(VAR_NAME) are expanded
+   * using the previous defined environment variables in the container and
+   * any service environment variables. If a variable cannot be resolved,
+   * the reference in the input string will be unchanged. The $(VAR_NAME)
+   * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+   * references will never be expanded, regardless of whether the variable
+   * exists or not.
+   * </pre>
+   *
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The value.
+   */
+  java.lang.String getValue();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Variables that reference a $(VAR_NAME) are expanded
+   * using the previous defined environment variables in the container and
+   * any service environment variables. If a variable cannot be resolved,
+   * the reference in the input string will be unchanged. The $(VAR_NAME)
+   * syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+   * references will never be expanded, regardless of whether the variable
+   * exists or not.
+   * </pre>
+   *
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for value.
+   */
+  com.google.protobuf.ByteString getValueBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVarProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVarProto.java
new file mode 100644
index 000000000..2925ecb74
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/EnvVarProto.java
@@ -0,0 +1,77 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/env_var.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class EnvVarProto {
+  private EnvVarProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_EnvVar_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_EnvVar_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
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+          + "golang.org/genproto/googleapis/cloud/aip"
+          + "latform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_EnvVar_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_EnvVar_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_EnvVar_descriptor,
+            new java.lang.String[] {
+              "Name", "Value",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataConfig.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataConfig.java
new file mode 100644
index 000000000..a57884903
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataConfig.java
@@ -0,0 +1,1134 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Describes what part of the Dataset is to be exported, the destination of
+ * the export and how to export.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataConfig}
+ */
+public final class ExportDataConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportDataConfig)
+    ExportDataConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportDataConfig.newBuilder() to construct.
+  private ExportDataConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExportDataConfig() {
+    annotationsFilter_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExportDataConfig();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportDataConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GcsDestination.Builder subBuilder = null;
+              if (destinationCase_ == 1) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.GcsDestination) destination_).toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GcsDestination.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.GcsDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 1;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              annotationsFilter_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetProto
+        .internal_static_google_cloud_aiplatform_v1_ExportDataConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetProto
+        .internal_static_google_cloud_aiplatform_v1_ExportDataConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ExportDataConfig.class,
+            com.google.cloud.aiplatform.v1.ExportDataConfig.Builder.class);
+  }
+
+  private int destinationCase_ = 0;
+  private java.lang.Object destination_;
+
+  public enum DestinationCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    GCS_DESTINATION(1),
+    DESTINATION_NOT_SET(0);
+    private final int value;
+
+    private DestinationCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static DestinationCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static DestinationCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return GCS_DESTINATION;
+        case 0:
+          return DESTINATION_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public DestinationCase getDestinationCase() {
+    return DestinationCase.forNumber(destinationCase_);
+  }
+
+  public static final int GCS_DESTINATION_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location where the output is to be written to.
+   * In the given directory a new directory will be created with name:
+   * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory. Inside that directory,
+   * annotations with the same schema will be grouped into sub directories
+   * which are named with the corresponding annotations' schema title. Inside
+   * these sub directories, a schema.yaml will be created to describe the
+   * output format.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+   *
+   * @return Whether the gcsDestination field is set.
+   */
+  @java.lang.Override
+  public boolean hasGcsDestination() {
+    return destinationCase_ == 1;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location where the output is to be written to.
+   * In the given directory a new directory will be created with name:
+   * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory. Inside that directory,
+   * annotations with the same schema will be grouped into sub directories
+   * which are named with the corresponding annotations' schema title. Inside
+   * these sub directories, a schema.yaml will be created to describe the
+   * output format.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+   *
+   * @return The gcsDestination.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination() {
+    if (destinationCase_ == 1) {
+      return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+    }
+    return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location where the output is to be written to.
+   * In the given directory a new directory will be created with name:
+   * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory. Inside that directory,
+   * annotations with the same schema will be grouped into sub directories
+   * which are named with the corresponding annotations' schema title. Inside
+   * these sub directories, a schema.yaml will be created to describe the
+   * output format.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+    if (destinationCase_ == 1) {
+      return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+    }
+    return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+  }
+
+  public static final int ANNOTATIONS_FILTER_FIELD_NUMBER = 2;
+  private volatile java.lang.Object annotationsFilter_;
+  /**
+   *
+   *
+   * <pre>
+   * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+   * DataItems(specified by [data_items_filter][]) that match this filter will
+   * be exported. The filter syntax is the same as in
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+   * </pre>
+   *
+   * <code>string annotations_filter = 2;</code>
+   *
+   * @return The annotationsFilter.
+   */
+  @java.lang.Override
+  public java.lang.String getAnnotationsFilter() {
+    java.lang.Object ref = annotationsFilter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      annotationsFilter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+   * DataItems(specified by [data_items_filter][]) that match this filter will
+   * be exported. The filter syntax is the same as in
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+   * </pre>
+   *
+   * <code>string annotations_filter = 2;</code>
+   *
+   * @return The bytes for annotationsFilter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
+    java.lang.Object ref = annotationsFilter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      annotationsFilter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (destinationCase_ == 1) {
+      output.writeMessage(1, (com.google.cloud.aiplatform.v1.GcsDestination) destination_);
+    }
+    if (!getAnnotationsFilterBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, annotationsFilter_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (destinationCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
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+    }
+    if (!getAnnotationsFilterBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, annotationsFilter_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ExportDataConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ExportDataConfig other =
+        (com.google.cloud.aiplatform.v1.ExportDataConfig) obj;
+
+    if (!getAnnotationsFilter().equals(other.getAnnotationsFilter())) return false;
+    if (!getDestinationCase().equals(other.getDestinationCase())) return false;
+    switch (destinationCase_) {
+      case 1:
+        if (!getGcsDestination().equals(other.getGcsDestination())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + ANNOTATIONS_FILTER_FIELD_NUMBER;
+    hash = (53 * hash) + getAnnotationsFilter().hashCode();
+    switch (destinationCase_) {
+      case 1:
+        hash = (37 * hash) + GCS_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getGcsDestination().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ExportDataConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Describes what part of the Dataset is to be exported, the destination of
+   * the export and how to export.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportDataConfig)
+      com.google.cloud.aiplatform.v1.ExportDataConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportDataConfig.class,
+              com.google.cloud.aiplatform.v1.ExportDataConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ExportDataConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      annotationsFilter_ = "";
+
+      destinationCase_ = 0;
+      destination_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataConfig getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ExportDataConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataConfig build() {
+      com.google.cloud.aiplatform.v1.ExportDataConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataConfig buildPartial() {
+      com.google.cloud.aiplatform.v1.ExportDataConfig result =
+          new com.google.cloud.aiplatform.v1.ExportDataConfig(this);
+      if (destinationCase_ == 1) {
+        if (gcsDestinationBuilder_ == null) {
+          result.destination_ = destination_;
+        } else {
+          result.destination_ = gcsDestinationBuilder_.build();
+        }
+      }
+      result.annotationsFilter_ = annotationsFilter_;
+      result.destinationCase_ = destinationCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ExportDataConfig) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ExportDataConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ExportDataConfig other) {
+      if (other == com.google.cloud.aiplatform.v1.ExportDataConfig.getDefaultInstance())
+        return this;
+      if (!other.getAnnotationsFilter().isEmpty()) {
+        annotationsFilter_ = other.annotationsFilter_;
+        onChanged();
+      }
+      switch (other.getDestinationCase()) {
+        case GCS_DESTINATION:
+          {
+            mergeGcsDestination(other.getGcsDestination());
+            break;
+          }
+        case DESTINATION_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ExportDataConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.ExportDataConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int destinationCase_ = 0;
+    private java.lang.Object destination_;
+
+    public DestinationCase getDestinationCase() {
+      return DestinationCase.forNumber(destinationCase_);
+    }
+
+    public Builder clearDestination() {
+      destinationCase_ = 0;
+      destination_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GcsDestination,
+            com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+            com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+        gcsDestinationBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     *
+     * @return Whether the gcsDestination field is set.
+     */
+    @java.lang.Override
+    public boolean hasGcsDestination() {
+      return destinationCase_ == 1;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     *
+     * @return The gcsDestination.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination() {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1) {
+          return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+        }
+        return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 1) {
+          return gcsDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     */
+    public Builder setGcsDestination(com.google.cloud.aiplatform.v1.GcsDestination value) {
+      if (gcsDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        gcsDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     */
+    public Builder setGcsDestination(
+        com.google.cloud.aiplatform.v1.GcsDestination.Builder builderForValue) {
+      if (gcsDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        gcsDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     */
+    public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1.GcsDestination value) {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1
+            && destination_ != com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.aiplatform.v1.GcsDestination.newBuilder(
+                      (com.google.cloud.aiplatform.v1.GcsDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 1) {
+          gcsDestinationBuilder_.mergeFrom(value);
+        }
+        gcsDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     */
+    public Builder clearGcsDestination() {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 1) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 1) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        gcsDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GcsDestination.Builder getGcsDestinationBuilder() {
+      return getGcsDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+      if ((destinationCase_ == 1) && (gcsDestinationBuilder_ != null)) {
+        return gcsDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 1) {
+          return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+        }
+        return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location where the output is to be written to.
+     * In the given directory a new directory will be created with name:
+     * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+     * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+     * output will be written into that directory. Inside that directory,
+     * annotations with the same schema will be grouped into sub directories
+     * which are named with the corresponding annotations' schema title. Inside
+     * these sub directories, a schema.yaml will be created to describe the
+     * output format.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GcsDestination,
+            com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+            com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+        getGcsDestinationFieldBuilder() {
+      if (gcsDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 1)) {
+          destination_ = com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+        }
+        gcsDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GcsDestination,
+                com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+                com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>(
+                (com.google.cloud.aiplatform.v1.GcsDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 1;
+      onChanged();
+      ;
+      return gcsDestinationBuilder_;
+    }
+
+    private java.lang.Object annotationsFilter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+     * DataItems(specified by [data_items_filter][]) that match this filter will
+     * be exported. The filter syntax is the same as in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+     * </pre>
+     *
+     * <code>string annotations_filter = 2;</code>
+     *
+     * @return The annotationsFilter.
+     */
+    public java.lang.String getAnnotationsFilter() {
+      java.lang.Object ref = annotationsFilter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        annotationsFilter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+     * DataItems(specified by [data_items_filter][]) that match this filter will
+     * be exported. The filter syntax is the same as in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+     * </pre>
+     *
+     * <code>string annotations_filter = 2;</code>
+     *
+     * @return The bytes for annotationsFilter.
+     */
+    public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
+      java.lang.Object ref = annotationsFilter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        annotationsFilter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+     * DataItems(specified by [data_items_filter][]) that match this filter will
+     * be exported. The filter syntax is the same as in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+     * </pre>
+     *
+     * <code>string annotations_filter = 2;</code>
+     *
+     * @param value The annotationsFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAnnotationsFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      annotationsFilter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+     * DataItems(specified by [data_items_filter][]) that match this filter will
+     * be exported. The filter syntax is the same as in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+     * </pre>
+     *
+     * <code>string annotations_filter = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearAnnotationsFilter() {
+
+      annotationsFilter_ = getDefaultInstance().getAnnotationsFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+     * DataItems(specified by [data_items_filter][]) that match this filter will
+     * be exported. The filter syntax is the same as in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+     * </pre>
+     *
+     * <code>string annotations_filter = 2;</code>
+     *
+     * @param value The bytes for annotationsFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAnnotationsFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      annotationsFilter_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportDataConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportDataConfig)
+  private static final com.google.cloud.aiplatform.v1.ExportDataConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ExportDataConfig();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExportDataConfig> PARSER =
+      new com.google.protobuf.AbstractParser<ExportDataConfig>() {
+        @java.lang.Override
+        public ExportDataConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportDataConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExportDataConfig> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExportDataConfig> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportDataConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataConfigOrBuilder.java
new file mode 100644
index 000000000..209d8b129
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataConfigOrBuilder.java
@@ -0,0 +1,117 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ExportDataConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportDataConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location where the output is to be written to.
+   * In the given directory a new directory will be created with name:
+   * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory. Inside that directory,
+   * annotations with the same schema will be grouped into sub directories
+   * which are named with the corresponding annotations' schema title. Inside
+   * these sub directories, a schema.yaml will be created to describe the
+   * output format.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+   *
+   * @return Whether the gcsDestination field is set.
+   */
+  boolean hasGcsDestination();
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location where the output is to be written to.
+   * In the given directory a new directory will be created with name:
+   * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory. Inside that directory,
+   * annotations with the same schema will be grouped into sub directories
+   * which are named with the corresponding annotations' schema title. Inside
+   * these sub directories, a schema.yaml will be created to describe the
+   * output format.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+   *
+   * @return The gcsDestination.
+   */
+  com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination();
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location where the output is to be written to.
+   * In the given directory a new directory will be created with name:
+   * `export-data-&lt;dataset-display-name&gt;-&lt;timestamp-of-export-call&gt;` where
+   * timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+   * output will be written into that directory. Inside that directory,
+   * annotations with the same schema will be grouped into sub directories
+   * which are named with the corresponding annotations' schema title. Inside
+   * these sub directories, a schema.yaml will be created to describe the
+   * output format.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+   * DataItems(specified by [data_items_filter][]) that match this filter will
+   * be exported. The filter syntax is the same as in
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+   * </pre>
+   *
+   * <code>string annotations_filter = 2;</code>
+   *
+   * @return The annotationsFilter.
+   */
+  java.lang.String getAnnotationsFilter();
+  /**
+   *
+   *
+   * <pre>
+   * A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+   * DataItems(specified by [data_items_filter][]) that match this filter will
+   * be exported. The filter syntax is the same as in
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+   * </pre>
+   *
+   * <code>string annotations_filter = 2;</code>
+   *
+   * @return The bytes for annotationsFilter.
+   */
+  com.google.protobuf.ByteString getAnnotationsFilterBytes();
+
+  public com.google.cloud.aiplatform.v1.ExportDataConfig.DestinationCase getDestinationCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadata.java
new file mode 100644
index 000000000..915b8a39e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadata.java
@@ -0,0 +1,928 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataOperationMetadata}
+ */
+public final class ExportDataOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportDataOperationMetadata)
+    ExportDataOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportDataOperationMetadata.newBuilder() to construct.
+  private ExportDataOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExportDataOperationMetadata() {
+    gcsOutputDirectory_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExportDataOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportDataOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              gcsOutputDirectory_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportDataOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportDataOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ExportDataOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.ExportDataOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  public static final int GCS_OUTPUT_DIRECTORY_FIELD_NUMBER = 2;
+  private volatile java.lang.Object gcsOutputDirectory_;
+  /**
+   *
+   *
+   * <pre>
+   * A Google Cloud Storage directory which path ends with '/'. The exported
+   * data is stored in the directory.
+   * </pre>
+   *
+   * <code>string gcs_output_directory = 2;</code>
+   *
+   * @return The gcsOutputDirectory.
+   */
+  @java.lang.Override
+  public java.lang.String getGcsOutputDirectory() {
+    java.lang.Object ref = gcsOutputDirectory_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      gcsOutputDirectory_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A Google Cloud Storage directory which path ends with '/'. The exported
+   * data is stored in the directory.
+   * </pre>
+   *
+   * <code>string gcs_output_directory = 2;</code>
+   *
+   * @return The bytes for gcsOutputDirectory.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+    java.lang.Object ref = gcsOutputDirectory_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      gcsOutputDirectory_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    if (!getGcsOutputDirectoryBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, gcsOutputDirectory_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    if (!getGcsOutputDirectoryBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, gcsOutputDirectory_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ExportDataOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ExportDataOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.ExportDataOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!getGcsOutputDirectory().equals(other.getGcsOutputDirectory())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (37 * hash) + GCS_OUTPUT_DIRECTORY_FIELD_NUMBER;
+    hash = (53 * hash) + getGcsOutputDirectory().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ExportDataOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportDataOperationMetadata)
+      com.google.cloud.aiplatform.v1.ExportDataOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportDataOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.ExportDataOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ExportDataOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      gcsOutputDirectory_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ExportDataOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.ExportDataOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.ExportDataOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.ExportDataOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      result.gcsOutputDirectory_ = gcsOutputDirectory_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ExportDataOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ExportDataOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ExportDataOperationMetadata other) {
+      if (other == com.google.cloud.aiplatform.v1.ExportDataOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      if (!other.getGcsOutputDirectory().isEmpty()) {
+        gcsOutputDirectory_ = other.gcsOutputDirectory_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ExportDataOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ExportDataOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    private java.lang.Object gcsOutputDirectory_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A Google Cloud Storage directory which path ends with '/'. The exported
+     * data is stored in the directory.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 2;</code>
+     *
+     * @return The gcsOutputDirectory.
+     */
+    public java.lang.String getGcsOutputDirectory() {
+      java.lang.Object ref = gcsOutputDirectory_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        gcsOutputDirectory_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A Google Cloud Storage directory which path ends with '/'. The exported
+     * data is stored in the directory.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 2;</code>
+     *
+     * @return The bytes for gcsOutputDirectory.
+     */
+    public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
+      java.lang.Object ref = gcsOutputDirectory_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        gcsOutputDirectory_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A Google Cloud Storage directory which path ends with '/'. The exported
+     * data is stored in the directory.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 2;</code>
+     *
+     * @param value The gcsOutputDirectory to set.
+     * @return This builder for chaining.
+     */
+    public Builder setGcsOutputDirectory(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      gcsOutputDirectory_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A Google Cloud Storage directory which path ends with '/'. The exported
+     * data is stored in the directory.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearGcsOutputDirectory() {
+
+      gcsOutputDirectory_ = getDefaultInstance().getGcsOutputDirectory();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A Google Cloud Storage directory which path ends with '/'. The exported
+     * data is stored in the directory.
+     * </pre>
+     *
+     * <code>string gcs_output_directory = 2;</code>
+     *
+     * @param value The bytes for gcsOutputDirectory to set.
+     * @return This builder for chaining.
+     */
+    public Builder setGcsOutputDirectoryBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      gcsOutputDirectory_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportDataOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportDataOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.ExportDataOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ExportDataOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExportDataOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<ExportDataOperationMetadata>() {
+        @java.lang.Override
+        public ExportDataOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportDataOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExportDataOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExportDataOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportDataOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..346de89b7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataOperationMetadataOrBuilder.java
@@ -0,0 +1,87 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ExportDataOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportDataOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A Google Cloud Storage directory which path ends with '/'. The exported
+   * data is stored in the directory.
+   * </pre>
+   *
+   * <code>string gcs_output_directory = 2;</code>
+   *
+   * @return The gcsOutputDirectory.
+   */
+  java.lang.String getGcsOutputDirectory();
+  /**
+   *
+   *
+   * <pre>
+   * A Google Cloud Storage directory which path ends with '/'. The exported
+   * data is stored in the directory.
+   * </pre>
+   *
+   * <code>string gcs_output_directory = 2;</code>
+   *
+   * @return The bytes for gcsOutputDirectory.
+   */
+  com.google.protobuf.ByteString getGcsOutputDirectoryBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequest.java
new file mode 100644
index 000000000..0fd27dba0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequest.java
@@ -0,0 +1,965 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataRequest}
+ */
+public final class ExportDataRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportDataRequest)
+    ExportDataRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportDataRequest.newBuilder() to construct.
+  private ExportDataRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExportDataRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExportDataRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportDataRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.ExportDataConfig.Builder subBuilder = null;
+              if (exportConfig_ != null) {
+                subBuilder = exportConfig_.toBuilder();
+              }
+              exportConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ExportDataConfig.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(exportConfig_);
+                exportConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportDataRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportDataRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ExportDataRequest.class,
+            com.google.cloud.aiplatform.v1.ExportDataRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int EXPORT_CONFIG_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.ExportDataConfig exportConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the exportConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasExportConfig() {
+    return exportConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The exportConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportDataConfig getExportConfig() {
+    return exportConfig_ == null
+        ? com.google.cloud.aiplatform.v1.ExportDataConfig.getDefaultInstance()
+        : exportConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportDataConfigOrBuilder getExportConfigOrBuilder() {
+    return getExportConfig();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (exportConfig_ != null) {
+      output.writeMessage(2, getExportConfig());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (exportConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getExportConfig());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ExportDataRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ExportDataRequest other =
+        (com.google.cloud.aiplatform.v1.ExportDataRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (hasExportConfig() != other.hasExportConfig()) return false;
+    if (hasExportConfig()) {
+      if (!getExportConfig().equals(other.getExportConfig())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (hasExportConfig()) {
+      hash = (37 * hash) + EXPORT_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getExportConfig().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ExportDataRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportDataRequest)
+      com.google.cloud.aiplatform.v1.ExportDataRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportDataRequest.class,
+              com.google.cloud.aiplatform.v1.ExportDataRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ExportDataRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (exportConfigBuilder_ == null) {
+        exportConfig_ = null;
+      } else {
+        exportConfig_ = null;
+        exportConfigBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ExportDataRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataRequest build() {
+      com.google.cloud.aiplatform.v1.ExportDataRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.ExportDataRequest result =
+          new com.google.cloud.aiplatform.v1.ExportDataRequest(this);
+      result.name_ = name_;
+      if (exportConfigBuilder_ == null) {
+        result.exportConfig_ = exportConfig_;
+      } else {
+        result.exportConfig_ = exportConfigBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ExportDataRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ExportDataRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ExportDataRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.ExportDataRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasExportConfig()) {
+        mergeExportConfig(other.getExportConfig());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ExportDataRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.ExportDataRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.ExportDataConfig exportConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ExportDataConfig,
+            com.google.cloud.aiplatform.v1.ExportDataConfig.Builder,
+            com.google.cloud.aiplatform.v1.ExportDataConfigOrBuilder>
+        exportConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the exportConfig field is set.
+     */
+    public boolean hasExportConfig() {
+      return exportConfigBuilder_ != null || exportConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The exportConfig.
+     */
+    public com.google.cloud.aiplatform.v1.ExportDataConfig getExportConfig() {
+      if (exportConfigBuilder_ == null) {
+        return exportConfig_ == null
+            ? com.google.cloud.aiplatform.v1.ExportDataConfig.getDefaultInstance()
+            : exportConfig_;
+      } else {
+        return exportConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setExportConfig(com.google.cloud.aiplatform.v1.ExportDataConfig value) {
+      if (exportConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        exportConfig_ = value;
+        onChanged();
+      } else {
+        exportConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setExportConfig(
+        com.google.cloud.aiplatform.v1.ExportDataConfig.Builder builderForValue) {
+      if (exportConfigBuilder_ == null) {
+        exportConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        exportConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeExportConfig(com.google.cloud.aiplatform.v1.ExportDataConfig value) {
+      if (exportConfigBuilder_ == null) {
+        if (exportConfig_ != null) {
+          exportConfig_ =
+              com.google.cloud.aiplatform.v1.ExportDataConfig.newBuilder(exportConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          exportConfig_ = value;
+        }
+        onChanged();
+      } else {
+        exportConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearExportConfig() {
+      if (exportConfigBuilder_ == null) {
+        exportConfig_ = null;
+        onChanged();
+      } else {
+        exportConfig_ = null;
+        exportConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ExportDataConfig.Builder getExportConfigBuilder() {
+
+      onChanged();
+      return getExportConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ExportDataConfigOrBuilder getExportConfigOrBuilder() {
+      if (exportConfigBuilder_ != null) {
+        return exportConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return exportConfig_ == null
+            ? com.google.cloud.aiplatform.v1.ExportDataConfig.getDefaultInstance()
+            : exportConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ExportDataConfig,
+            com.google.cloud.aiplatform.v1.ExportDataConfig.Builder,
+            com.google.cloud.aiplatform.v1.ExportDataConfigOrBuilder>
+        getExportConfigFieldBuilder() {
+      if (exportConfigBuilder_ == null) {
+        exportConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ExportDataConfig,
+                com.google.cloud.aiplatform.v1.ExportDataConfig.Builder,
+                com.google.cloud.aiplatform.v1.ExportDataConfigOrBuilder>(
+                getExportConfig(), getParentForChildren(), isClean());
+        exportConfig_ = null;
+      }
+      return exportConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportDataRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportDataRequest)
+  private static final com.google.cloud.aiplatform.v1.ExportDataRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ExportDataRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExportDataRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ExportDataRequest>() {
+        @java.lang.Override
+        public ExportDataRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportDataRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExportDataRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExportDataRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportDataRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequestOrBuilder.java
new file mode 100644
index 000000000..cbcf559a1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataRequestOrBuilder.java
@@ -0,0 +1,99 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ExportDataRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportDataRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the exportConfig field is set.
+   */
+  boolean hasExportConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The exportConfig.
+   */
+  com.google.cloud.aiplatform.v1.ExportDataConfig getExportConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportDataConfig export_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ExportDataConfigOrBuilder getExportConfigOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponse.java
new file mode 100644
index 000000000..495c4e262
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponse.java
@@ -0,0 +1,737 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataResponse}
+ */
+public final class ExportDataResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportDataResponse)
+    ExportDataResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportDataResponse.newBuilder() to construct.
+  private ExportDataResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExportDataResponse() {
+    exportedFiles_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExportDataResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportDataResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
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+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
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+              exportedFiles_.add(s);
+              break;
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+                done = true;
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+              break;
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+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
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+        exportedFiles_ = exportedFiles_.getUnmodifiableView();
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportDataResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+  }
+
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+  private com.google.protobuf.LazyStringList exportedFiles_;
+  /**
+   *
+   *
+   * <pre>
+   * All of the files that are exported in this export operation.
+   * </pre>
+   *
+   * <code>repeated string exported_files = 1;</code>
+   *
+   * @return A list containing the exportedFiles.
+   */
+  public com.google.protobuf.ProtocolStringList getExportedFilesList() {
+    return exportedFiles_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * All of the files that are exported in this export operation.
+   * </pre>
+   *
+   * <code>repeated string exported_files = 1;</code>
+   *
+   * @return The count of exportedFiles.
+   */
+  public int getExportedFilesCount() {
+    return exportedFiles_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * All of the files that are exported in this export operation.
+   * </pre>
+   *
+   * <code>repeated string exported_files = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The exportedFiles at the given index.
+   */
+  public java.lang.String getExportedFiles(int index) {
+    return exportedFiles_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * All of the files that are exported in this export operation.
+   * </pre>
+   *
+   * <code>repeated string exported_files = 1;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the exportedFiles at the given index.
+   */
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+    return exportedFiles_.getByteString(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
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+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
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+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    {
+      int dataSize = 0;
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+      size += dataSize;
+      size += 1 * getExportedFilesList().size();
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ExportDataResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ExportDataResponse other =
+        (com.google.cloud.aiplatform.v1.ExportDataResponse) obj;
+
+    if (!getExportedFilesList().equals(other.getExportedFilesList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getExportedFilesCount() > 0) {
+      hash = (37 * hash) + EXPORTED_FILES_FIELD_NUMBER;
+      hash = (53 * hash) + getExportedFilesList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ExportDataResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportDataResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportDataResponse)
+      com.google.cloud.aiplatform.v1.ExportDataResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportDataResponse.class,
+              com.google.cloud.aiplatform.v1.ExportDataResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ExportDataResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
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+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      exportedFiles_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportDataResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ExportDataResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataResponse build() {
+      com.google.cloud.aiplatform.v1.ExportDataResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportDataResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ExportDataResponse result =
+          new com.google.cloud.aiplatform.v1.ExportDataResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (((bitField0_ & 0x00000001) != 0)) {
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+        bitField0_ = (bitField0_ & ~0x00000001);
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+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
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+    @java.lang.Override
+    public Builder setField(
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+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
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+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ExportDataResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ExportDataResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ExportDataResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ExportDataResponse.getDefaultInstance())
+        return this;
+      if (!other.exportedFiles_.isEmpty()) {
+        if (exportedFiles_.isEmpty()) {
+          exportedFiles_ = other.exportedFiles_;
+          bitField0_ = (bitField0_ & ~0x00000001);
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+          exportedFiles_.addAll(other.exportedFiles_);
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+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ExportDataResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ExportDataResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
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+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @return A list containing the exportedFiles.
+     */
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+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @return The count of exportedFiles.
+     */
+    public int getExportedFilesCount() {
+      return exportedFiles_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The exportedFiles at the given index.
+     */
+    public java.lang.String getExportedFiles(int index) {
+      return exportedFiles_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the exportedFiles at the given index.
+     */
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+      return exportedFiles_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The exportedFiles to set.
+     * @return This builder for chaining.
+     */
+    public Builder setExportedFiles(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureExportedFilesIsMutable();
+      exportedFiles_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @param value The exportedFiles to add.
+     * @return This builder for chaining.
+     */
+    public Builder addExportedFiles(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureExportedFilesIsMutable();
+      exportedFiles_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @param values The exportedFiles to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllExportedFiles(java.lang.Iterable<java.lang.String> values) {
+      ensureExportedFilesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, exportedFiles_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearExportedFiles() {
+      exportedFiles_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the files that are exported in this export operation.
+     * </pre>
+     *
+     * <code>repeated string exported_files = 1;</code>
+     *
+     * @param value The bytes of the exportedFiles to add.
+     * @return This builder for chaining.
+     */
+    public Builder addExportedFilesBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureExportedFilesIsMutable();
+      exportedFiles_.add(value);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportDataResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportDataResponse)
+  private static final com.google.cloud.aiplatform.v1.ExportDataResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ExportDataResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportDataResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExportDataResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ExportDataResponse>() {
+        @java.lang.Override
+        public ExportDataResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportDataResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExportDataResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExportDataResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportDataResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponseOrBuilder.java
new file mode 100644
index 000000000..9a88a23e0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportDataResponseOrBuilder.java
@@ -0,0 +1,76 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ExportDataResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportDataResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * All of the files that are exported in this export operation.
+   * </pre>
+   *
+   * <code>repeated string exported_files = 1;</code>
+   *
+   * @return A list containing the exportedFiles.
+   */
+  java.util.List<java.lang.String> getExportedFilesList();
+  /**
+   *
+   *
+   * <pre>
+   * All of the files that are exported in this export operation.
+   * </pre>
+   *
+   * <code>repeated string exported_files = 1;</code>
+   *
+   * @return The count of exportedFiles.
+   */
+  int getExportedFilesCount();
+  /**
+   *
+   *
+   * <pre>
+   * All of the files that are exported in this export operation.
+   * </pre>
+   *
+   * <code>repeated string exported_files = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The exportedFiles at the given index.
+   */
+  java.lang.String getExportedFiles(int index);
+  /**
+   *
+   *
+   * <pre>
+   * All of the files that are exported in this export operation.
+   * </pre>
+   *
+   * <code>repeated string exported_files = 1;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the exportedFiles at the given index.
+   */
+  com.google.protobuf.ByteString getExportedFilesBytes(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadata.java
new file mode 100644
index 000000000..3b2a2d0d1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadata.java
@@ -0,0 +1,1958 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelOperationMetadata}
+ */
+public final class ExportModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportModelOperationMetadata)
+    ExportModelOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportModelOperationMetadata.newBuilder() to construct.
+  private ExportModelOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExportModelOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExportModelOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportModelOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder
+                  subBuilder = null;
+              if (outputInfo_ != null) {
+                subBuilder = outputInfo_.toBuilder();
+              }
+              outputInfo_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputInfo_);
+                outputInfo_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.Builder.class);
+  }
+
+  public interface OutputInfoOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+     * the full path of the directory created, into which the Model files are
+     * being written to.
+     * </pre>
+     *
+     * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The artifactOutputUri.
+     */
+    java.lang.String getArtifactOutputUri();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+     * the full path of the directory created, into which the Model files are
+     * being written to.
+     * </pre>
+     *
+     * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for artifactOutputUri.
+     */
+    com.google.protobuf.ByteString getArtifactOutputUriBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. If the Model image is being exported to Google Container Registry or
+     * Artifact Registry this is the full path of the image created.
+     * </pre>
+     *
+     * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The imageOutputUri.
+     */
+    java.lang.String getImageOutputUri();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. If the Model image is being exported to Google Container Registry or
+     * Artifact Registry this is the full path of the image created.
+     * </pre>
+     *
+     * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for imageOutputUri.
+     */
+    com.google.protobuf.ByteString getImageOutputUriBytes();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Further describes the output of the ExportModel. Supplements
+   * [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo}
+   */
+  public static final class OutputInfo extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo)
+      OutputInfoOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use OutputInfo.newBuilder() to construct.
+    private OutputInfo(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private OutputInfo() {
+      artifactOutputUri_ = "";
+      imageOutputUri_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new OutputInfo();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private OutputInfo(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                artifactOutputUri_ = s;
+                break;
+              }
+            case 26:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                imageOutputUri_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.class,
+              com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder.class);
+    }
+
+    public static final int ARTIFACT_OUTPUT_URI_FIELD_NUMBER = 2;
+    private volatile java.lang.Object artifactOutputUri_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+     * the full path of the directory created, into which the Model files are
+     * being written to.
+     * </pre>
+     *
+     * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The artifactOutputUri.
+     */
+    @java.lang.Override
+    public java.lang.String getArtifactOutputUri() {
+      java.lang.Object ref = artifactOutputUri_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        artifactOutputUri_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+     * the full path of the directory created, into which the Model files are
+     * being written to.
+     * </pre>
+     *
+     * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for artifactOutputUri.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getArtifactOutputUriBytes() {
+      java.lang.Object ref = artifactOutputUri_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        artifactOutputUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int IMAGE_OUTPUT_URI_FIELD_NUMBER = 3;
+    private volatile java.lang.Object imageOutputUri_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. If the Model image is being exported to Google Container Registry or
+     * Artifact Registry this is the full path of the image created.
+     * </pre>
+     *
+     * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The imageOutputUri.
+     */
+    @java.lang.Override
+    public java.lang.String getImageOutputUri() {
+      java.lang.Object ref = imageOutputUri_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        imageOutputUri_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. If the Model image is being exported to Google Container Registry or
+     * Artifact Registry this is the full path of the image created.
+     * </pre>
+     *
+     * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for imageOutputUri.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getImageOutputUriBytes() {
+      java.lang.Object ref = imageOutputUri_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        imageOutputUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getArtifactOutputUriBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, artifactOutputUri_);
+      }
+      if (!getImageOutputUriBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 3, imageOutputUri_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getArtifactOutputUriBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, artifactOutputUri_);
+      }
+      if (!getImageOutputUriBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, imageOutputUri_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo other =
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+
+      if (!getArtifactOutputUri().equals(other.getArtifactOutputUri())) return false;
+      if (!getImageOutputUri().equals(other.getImageOutputUri())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + ARTIFACT_OUTPUT_URI_FIELD_NUMBER;
+      hash = (53 * hash) + getArtifactOutputUri().hashCode();
+      hash = (37 * hash) + IMAGE_OUTPUT_URI_FIELD_NUMBER;
+      hash = (53 * hash) + getImageOutputUri().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Further describes the output of the ExportModel. Supplements
+     * [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo)
+        com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfoOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.ModelServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.ModelServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.class,
+                com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder
+                    .class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        artifactOutputUri_ = "";
+
+        imageOutputUri_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.ModelServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo build() {
+        com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo buildPartial() {
+        com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo result =
+            new com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo(this);
+        result.artifactOutputUri_ = artifactOutputUri_;
+        result.imageOutputUri_ = imageOutputUri_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+                .getDefaultInstance()) return this;
+        if (!other.getArtifactOutputUri().isEmpty()) {
+          artifactOutputUri_ = other.artifactOutputUri_;
+          onChanged();
+        }
+        if (!other.getImageOutputUri().isEmpty()) {
+          imageOutputUri_ = other.imageOutputUri_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object artifactOutputUri_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+       * the full path of the directory created, into which the Model files are
+       * being written to.
+       * </pre>
+       *
+       * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The artifactOutputUri.
+       */
+      public java.lang.String getArtifactOutputUri() {
+        java.lang.Object ref = artifactOutputUri_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          artifactOutputUri_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+       * the full path of the directory created, into which the Model files are
+       * being written to.
+       * </pre>
+       *
+       * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The bytes for artifactOutputUri.
+       */
+      public com.google.protobuf.ByteString getArtifactOutputUriBytes() {
+        java.lang.Object ref = artifactOutputUri_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          artifactOutputUri_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+       * the full path of the directory created, into which the Model files are
+       * being written to.
+       * </pre>
+       *
+       * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The artifactOutputUri to set.
+       * @return This builder for chaining.
+       */
+      public Builder setArtifactOutputUri(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        artifactOutputUri_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+       * the full path of the directory created, into which the Model files are
+       * being written to.
+       * </pre>
+       *
+       * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearArtifactOutputUri() {
+
+        artifactOutputUri_ = getDefaultInstance().getArtifactOutputUri();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model artifact is being exported to Google Cloud Storage this is
+       * the full path of the directory created, into which the Model files are
+       * being written to.
+       * </pre>
+       *
+       * <code>string artifact_output_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The bytes for artifactOutputUri to set.
+       * @return This builder for chaining.
+       */
+      public Builder setArtifactOutputUriBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        artifactOutputUri_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object imageOutputUri_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model image is being exported to Google Container Registry or
+       * Artifact Registry this is the full path of the image created.
+       * </pre>
+       *
+       * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The imageOutputUri.
+       */
+      public java.lang.String getImageOutputUri() {
+        java.lang.Object ref = imageOutputUri_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          imageOutputUri_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model image is being exported to Google Container Registry or
+       * Artifact Registry this is the full path of the image created.
+       * </pre>
+       *
+       * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The bytes for imageOutputUri.
+       */
+      public com.google.protobuf.ByteString getImageOutputUriBytes() {
+        java.lang.Object ref = imageOutputUri_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          imageOutputUri_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model image is being exported to Google Container Registry or
+       * Artifact Registry this is the full path of the image created.
+       * </pre>
+       *
+       * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The imageOutputUri to set.
+       * @return This builder for chaining.
+       */
+      public Builder setImageOutputUri(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        imageOutputUri_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model image is being exported to Google Container Registry or
+       * Artifact Registry this is the full path of the image created.
+       * </pre>
+       *
+       * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearImageOutputUri() {
+
+        imageOutputUri_ = getDefaultInstance().getImageOutputUri();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. If the Model image is being exported to Google Container Registry or
+       * Artifact Registry this is the full path of the image created.
+       * </pre>
+       *
+       * <code>string image_output_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The bytes for imageOutputUri to set.
+       * @return This builder for chaining.
+       */
+      public Builder setImageOutputUriBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        imageOutputUri_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo)
+    private static final com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo();
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<OutputInfo> PARSER =
+        new com.google.protobuf.AbstractParser<OutputInfo>() {
+          @java.lang.Override
+          public OutputInfo parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new OutputInfo(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<OutputInfo> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<OutputInfo> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  public static final int OUTPUT_INFO_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo outputInfo_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this Model export.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the outputInfo field is set.
+   */
+  @java.lang.Override
+  public boolean hasOutputInfo() {
+    return outputInfo_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this Model export.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The outputInfo.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo getOutputInfo() {
+    return outputInfo_ == null
+        ? com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+            .getDefaultInstance()
+        : outputInfo_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this Model export.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfoOrBuilder
+      getOutputInfoOrBuilder() {
+    return getOutputInfo();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    if (outputInfo_ != null) {
+      output.writeMessage(2, getOutputInfo());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    if (outputInfo_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getOutputInfo());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ExportModelOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ExportModelOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.ExportModelOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (hasOutputInfo() != other.hasOutputInfo()) return false;
+    if (hasOutputInfo()) {
+      if (!getOutputInfo().equals(other.getOutputInfo())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    if (hasOutputInfo()) {
+      hash = (37 * hash) + OUTPUT_INFO_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputInfo().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ExportModelOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportModelOperationMetadata)
+      com.google.cloud.aiplatform.v1.ExportModelOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.ExportModelOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.ExportModelOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.ExportModelOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      if (outputInfoBuilder_ == null) {
+        result.outputInfo_ = outputInfo_;
+      } else {
+        result.outputInfo_ = outputInfoBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ExportModelOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ExportModelOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ExportModelOperationMetadata other) {
+      if (other == com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      if (other.hasOutputInfo()) {
+        mergeOutputInfo(other.getOutputInfo());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ExportModelOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ExportModelOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo outputInfo_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo,
+            com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder,
+            com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfoOrBuilder>
+        outputInfoBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the outputInfo field is set.
+     */
+    public boolean hasOutputInfo() {
+      return outputInfoBuilder_ != null || outputInfo_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The outputInfo.
+     */
+    public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo getOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        return outputInfo_ == null
+            ? com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+                .getDefaultInstance()
+            : outputInfo_;
+      } else {
+        return outputInfoBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo value) {
+      if (outputInfoBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputInfo_ = value;
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setOutputInfo(
+        com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder
+            builderForValue) {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputInfoBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeOutputInfo(
+        com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo value) {
+      if (outputInfoBuilder_ == null) {
+        if (outputInfo_ != null) {
+          outputInfo_ =
+              com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.newBuilder(
+                      outputInfo_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputInfo_ = value;
+        }
+        onChanged();
+      } else {
+        outputInfoBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearOutputInfo() {
+      if (outputInfoBuilder_ == null) {
+        outputInfo_ = null;
+        onChanged();
+      } else {
+        outputInfo_ = null;
+        outputInfoBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder
+        getOutputInfoBuilder() {
+
+      onChanged();
+      return getOutputInfoFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfoOrBuilder
+        getOutputInfoOrBuilder() {
+      if (outputInfoBuilder_ != null) {
+        return outputInfoBuilder_.getMessageOrBuilder();
+      } else {
+        return outputInfo_ == null
+            ? com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
+                .getDefaultInstance()
+            : outputInfo_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Information further describing the output of this Model export.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo,
+            com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder,
+            com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfoOrBuilder>
+        getOutputInfoFieldBuilder() {
+      if (outputInfoBuilder_ == null) {
+        outputInfoBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo,
+                com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder,
+                com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfoOrBuilder>(
+                getOutputInfo(), getParentForChildren(), isClean());
+        outputInfo_ = null;
+      }
+      return outputInfoBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportModelOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportModelOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.ExportModelOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ExportModelOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExportModelOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<ExportModelOperationMetadata>() {
+        @java.lang.Override
+        public ExportModelOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportModelOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExportModelOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExportModelOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportModelOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..7c5b27c2d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelOperationMetadataOrBuilder.java
@@ -0,0 +1,102 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ExportModelOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportModelOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this Model export.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the outputInfo field is set.
+   */
+  boolean hasOutputInfo();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this Model export.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The outputInfo.
+   */
+  com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo getOutputInfo();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Information further describing the output of this Model export.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo output_info = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfoOrBuilder
+      getOutputInfoOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequest.java
new file mode 100644
index 000000000..629296b6d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequest.java
@@ -0,0 +1,2451 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelRequest}
+ */
+public final class ExportModelRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportModelRequest)
+    ExportModelRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportModelRequest.newBuilder() to construct.
+  private ExportModelRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExportModelRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExportModelRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportModelRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder subBuilder =
+                  null;
+              if (outputConfig_ != null) {
+                subBuilder = outputConfig_.toBuilder();
+              }
+              outputConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(outputConfig_);
+                outputConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ExportModelRequest.class,
+            com.google.cloud.aiplatform.v1.ExportModelRequest.Builder.class);
+  }
+
+  public interface OutputConfigOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the format in which the Model must be exported. Each Model
+     * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * If no value is provided here, then the first from the list of the Model's
+     * supported formats is used by default.
+     * </pre>
+     *
+     * <code>string export_format_id = 1;</code>
+     *
+     * @return The exportFormatId.
+     */
+    java.lang.String getExportFormatId();
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the format in which the Model must be exported. Each Model
+     * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * If no value is provided here, then the first from the list of the Model's
+     * supported formats is used by default.
+     * </pre>
+     *
+     * <code>string export_format_id = 1;</code>
+     *
+     * @return The bytes for exportFormatId.
+     */
+    com.google.protobuf.ByteString getExportFormatIdBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the Model artifact is to be
+     * written to. Under the directory given as the destination a new one with
+     * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     * will be created. Inside, the Model and any of its supporting files
+     * will be written.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+     *
+     * @return Whether the artifactDestination field is set.
+     */
+    boolean hasArtifactDestination();
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the Model artifact is to be
+     * written to. Under the directory given as the destination a new one with
+     * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     * will be created. Inside, the Model and any of its supporting files
+     * will be written.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+     *
+     * @return The artifactDestination.
+     */
+    com.google.cloud.aiplatform.v1.GcsDestination getArtifactDestination();
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the Model artifact is to be
+     * written to. Under the directory given as the destination a new one with
+     * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     * will be created. Inside, the Model and any of its supporting files
+     * will be written.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+     */
+    com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getArtifactDestinationOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The Google Container Registry or Artifact Registry uri where the
+     * Model container image will be copied to.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;</code>
+     *
+     * @return Whether the imageDestination field is set.
+     */
+    boolean hasImageDestination();
+    /**
+     *
+     *
+     * <pre>
+     * The Google Container Registry or Artifact Registry uri where the
+     * Model container image will be copied to.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;</code>
+     *
+     * @return The imageDestination.
+     */
+    com.google.cloud.aiplatform.v1.ContainerRegistryDestination getImageDestination();
+    /**
+     *
+     *
+     * <pre>
+     * The Google Container Registry or Artifact Registry uri where the
+     * Model container image will be copied to.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;</code>
+     */
+    com.google.cloud.aiplatform.v1.ContainerRegistryDestinationOrBuilder
+        getImageDestinationOrBuilder();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output configuration for the Model export.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig}
+   */
+  public static final class OutputConfig extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig)
+      OutputConfigOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use OutputConfig.newBuilder() to construct.
+    private OutputConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private OutputConfig() {
+      exportFormatId_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new OutputConfig();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private OutputConfig(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                exportFormatId_ = s;
+                break;
+              }
+            case 26:
+              {
+                com.google.cloud.aiplatform.v1.GcsDestination.Builder subBuilder = null;
+                if (artifactDestination_ != null) {
+                  subBuilder = artifactDestination_.toBuilder();
+                }
+                artifactDestination_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.GcsDestination.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(artifactDestination_);
+                  artifactDestination_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+            case 34:
+              {
+                com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder subBuilder =
+                    null;
+                if (imageDestination_ != null) {
+                  subBuilder = imageDestination_.toBuilder();
+                }
+                imageDestination_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.ContainerRegistryDestination.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(imageDestination_);
+                  imageDestination_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.class,
+              com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder.class);
+    }
+
+    public static final int EXPORT_FORMAT_ID_FIELD_NUMBER = 1;
+    private volatile java.lang.Object exportFormatId_;
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the format in which the Model must be exported. Each Model
+     * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * If no value is provided here, then the first from the list of the Model's
+     * supported formats is used by default.
+     * </pre>
+     *
+     * <code>string export_format_id = 1;</code>
+     *
+     * @return The exportFormatId.
+     */
+    @java.lang.Override
+    public java.lang.String getExportFormatId() {
+      java.lang.Object ref = exportFormatId_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        exportFormatId_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the format in which the Model must be exported. Each Model
+     * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+     * If no value is provided here, then the first from the list of the Model's
+     * supported formats is used by default.
+     * </pre>
+     *
+     * <code>string export_format_id = 1;</code>
+     *
+     * @return The bytes for exportFormatId.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getExportFormatIdBytes() {
+      java.lang.Object ref = exportFormatId_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        exportFormatId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int ARTIFACT_DESTINATION_FIELD_NUMBER = 3;
+    private com.google.cloud.aiplatform.v1.GcsDestination artifactDestination_;
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the Model artifact is to be
+     * written to. Under the directory given as the destination a new one with
+     * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     * will be created. Inside, the Model and any of its supporting files
+     * will be written.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+     *
+     * @return Whether the artifactDestination field is set.
+     */
+    @java.lang.Override
+    public boolean hasArtifactDestination() {
+      return artifactDestination_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the Model artifact is to be
+     * written to. Under the directory given as the destination a new one with
+     * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     * will be created. Inside, the Model and any of its supporting files
+     * will be written.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+     *
+     * @return The artifactDestination.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestination getArtifactDestination() {
+      return artifactDestination_ == null
+          ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
+          : artifactDestination_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the Model artifact is to be
+     * written to. Under the directory given as the destination a new one with
+     * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+     * will be created. Inside, the Model and any of its supporting files
+     * will be written.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder
+        getArtifactDestinationOrBuilder() {
+      return getArtifactDestination();
+    }
+
+    public static final int IMAGE_DESTINATION_FIELD_NUMBER = 4;
+    private com.google.cloud.aiplatform.v1.ContainerRegistryDestination imageDestination_;
+    /**
+     *
+     *
+     * <pre>
+     * The Google Container Registry or Artifact Registry uri where the
+     * Model container image will be copied to.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;</code>
+     *
+     * @return Whether the imageDestination field is set.
+     */
+    @java.lang.Override
+    public boolean hasImageDestination() {
+      return imageDestination_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Container Registry or Artifact Registry uri where the
+     * Model container image will be copied to.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;</code>
+     *
+     * @return The imageDestination.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ContainerRegistryDestination getImageDestination() {
+      return imageDestination_ == null
+          ? com.google.cloud.aiplatform.v1.ContainerRegistryDestination.getDefaultInstance()
+          : imageDestination_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Container Registry or Artifact Registry uri where the
+     * Model container image will be copied to.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ContainerRegistryDestinationOrBuilder
+        getImageDestinationOrBuilder() {
+      return getImageDestination();
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
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+      unknownFields.writeTo(output);
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+    public int getSerializedSize() {
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+      size = 0;
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+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig other =
+          (com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig) obj;
+
+      if (!getExportFormatId().equals(other.getExportFormatId())) return false;
+      if (hasArtifactDestination() != other.hasArtifactDestination()) return false;
+      if (hasArtifactDestination()) {
+        if (!getArtifactDestination().equals(other.getArtifactDestination())) return false;
+      }
+      if (hasImageDestination() != other.hasImageDestination()) return false;
+      if (hasImageDestination()) {
+        if (!getImageDestination().equals(other.getImageDestination())) return false;
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + EXPORT_FORMAT_ID_FIELD_NUMBER;
+      hash = (53 * hash) + getExportFormatId().hashCode();
+      if (hasArtifactDestination()) {
+        hash = (37 * hash) + ARTIFACT_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getArtifactDestination().hashCode();
+      }
+      if (hasImageDestination()) {
+        hash = (37 * hash) + IMAGE_DESTINATION_FIELD_NUMBER;
+        hash = (53 * hash) + getImageDestination().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output configuration for the Model export.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig)
+        com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfigOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.ModelServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.ModelServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.class,
+                com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        exportFormatId_ = "";
+
+        if (artifactDestinationBuilder_ == null) {
+          artifactDestination_ = null;
+        } else {
+          artifactDestination_ = null;
+          artifactDestinationBuilder_ = null;
+        }
+        if (imageDestinationBuilder_ == null) {
+          imageDestination_ = null;
+        } else {
+          imageDestination_ = null;
+          imageDestinationBuilder_ = null;
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.ModelServiceProto
+            .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig build() {
+        com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig buildPartial() {
+        com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig result =
+            new com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig(this);
+        result.exportFormatId_ = exportFormatId_;
+        if (artifactDestinationBuilder_ == null) {
+          result.artifactDestination_ = artifactDestination_;
+        } else {
+          result.artifactDestination_ = artifactDestinationBuilder_.build();
+        }
+        if (imageDestinationBuilder_ == null) {
+          result.imageDestination_ = imageDestination_;
+        } else {
+          result.imageDestination_ = imageDestinationBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.getDefaultInstance())
+          return this;
+        if (!other.getExportFormatId().isEmpty()) {
+          exportFormatId_ = other.exportFormatId_;
+          onChanged();
+        }
+        if (other.hasArtifactDestination()) {
+          mergeArtifactDestination(other.getArtifactDestination());
+        }
+        if (other.hasImageDestination()) {
+          mergeImageDestination(other.getImageDestination());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object exportFormatId_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * The ID of the format in which the Model must be exported. Each Model
+       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+       * If no value is provided here, then the first from the list of the Model's
+       * supported formats is used by default.
+       * </pre>
+       *
+       * <code>string export_format_id = 1;</code>
+       *
+       * @return The exportFormatId.
+       */
+      public java.lang.String getExportFormatId() {
+        java.lang.Object ref = exportFormatId_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          exportFormatId_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The ID of the format in which the Model must be exported. Each Model
+       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+       * If no value is provided here, then the first from the list of the Model's
+       * supported formats is used by default.
+       * </pre>
+       *
+       * <code>string export_format_id = 1;</code>
+       *
+       * @return The bytes for exportFormatId.
+       */
+      public com.google.protobuf.ByteString getExportFormatIdBytes() {
+        java.lang.Object ref = exportFormatId_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          exportFormatId_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The ID of the format in which the Model must be exported. Each Model
+       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+       * If no value is provided here, then the first from the list of the Model's
+       * supported formats is used by default.
+       * </pre>
+       *
+       * <code>string export_format_id = 1;</code>
+       *
+       * @param value The exportFormatId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setExportFormatId(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        exportFormatId_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The ID of the format in which the Model must be exported. Each Model
+       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+       * If no value is provided here, then the first from the list of the Model's
+       * supported formats is used by default.
+       * </pre>
+       *
+       * <code>string export_format_id = 1;</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearExportFormatId() {
+
+        exportFormatId_ = getDefaultInstance().getExportFormatId();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The ID of the format in which the Model must be exported. Each Model
+       * lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+       * If no value is provided here, then the first from the list of the Model's
+       * supported formats is used by default.
+       * </pre>
+       *
+       * <code>string export_format_id = 1;</code>
+       *
+       * @param value The bytes for exportFormatId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setExportFormatIdBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        exportFormatId_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.cloud.aiplatform.v1.GcsDestination artifactDestination_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.GcsDestination,
+              com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+              com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+          artifactDestinationBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       *
+       * @return Whether the artifactDestination field is set.
+       */
+      public boolean hasArtifactDestination() {
+        return artifactDestinationBuilder_ != null || artifactDestination_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       *
+       * @return The artifactDestination.
+       */
+      public com.google.cloud.aiplatform.v1.GcsDestination getArtifactDestination() {
+        if (artifactDestinationBuilder_ == null) {
+          return artifactDestination_ == null
+              ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
+              : artifactDestination_;
+        } else {
+          return artifactDestinationBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       */
+      public Builder setArtifactDestination(com.google.cloud.aiplatform.v1.GcsDestination value) {
+        if (artifactDestinationBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          artifactDestination_ = value;
+          onChanged();
+        } else {
+          artifactDestinationBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       */
+      public Builder setArtifactDestination(
+          com.google.cloud.aiplatform.v1.GcsDestination.Builder builderForValue) {
+        if (artifactDestinationBuilder_ == null) {
+          artifactDestination_ = builderForValue.build();
+          onChanged();
+        } else {
+          artifactDestinationBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       */
+      public Builder mergeArtifactDestination(com.google.cloud.aiplatform.v1.GcsDestination value) {
+        if (artifactDestinationBuilder_ == null) {
+          if (artifactDestination_ != null) {
+            artifactDestination_ =
+                com.google.cloud.aiplatform.v1.GcsDestination.newBuilder(artifactDestination_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            artifactDestination_ = value;
+          }
+          onChanged();
+        } else {
+          artifactDestinationBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       */
+      public Builder clearArtifactDestination() {
+        if (artifactDestinationBuilder_ == null) {
+          artifactDestination_ = null;
+          onChanged();
+        } else {
+          artifactDestination_ = null;
+          artifactDestinationBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       */
+      public com.google.cloud.aiplatform.v1.GcsDestination.Builder getArtifactDestinationBuilder() {
+
+        onChanged();
+        return getArtifactDestinationFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       */
+      public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder
+          getArtifactDestinationOrBuilder() {
+        if (artifactDestinationBuilder_ != null) {
+          return artifactDestinationBuilder_.getMessageOrBuilder();
+        } else {
+          return artifactDestination_ == null
+              ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
+              : artifactDestination_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Cloud Storage location where the Model artifact is to be
+       * written to. Under the directory given as the destination a new one with
+       * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
+       * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+       * will be created. Inside, the Model and any of its supporting files
+       * will be written.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.GcsDestination artifact_destination = 3;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.GcsDestination,
+              com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+              com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+          getArtifactDestinationFieldBuilder() {
+        if (artifactDestinationBuilder_ == null) {
+          artifactDestinationBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.GcsDestination,
+                  com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+                  com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>(
+                  getArtifactDestination(), getParentForChildren(), isClean());
+          artifactDestination_ = null;
+        }
+        return artifactDestinationBuilder_;
+      }
+
+      private com.google.cloud.aiplatform.v1.ContainerRegistryDestination imageDestination_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.ContainerRegistryDestination,
+              com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder,
+              com.google.cloud.aiplatform.v1.ContainerRegistryDestinationOrBuilder>
+          imageDestinationBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       *
+       * @return Whether the imageDestination field is set.
+       */
+      public boolean hasImageDestination() {
+        return imageDestinationBuilder_ != null || imageDestination_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       *
+       * @return The imageDestination.
+       */
+      public com.google.cloud.aiplatform.v1.ContainerRegistryDestination getImageDestination() {
+        if (imageDestinationBuilder_ == null) {
+          return imageDestination_ == null
+              ? com.google.cloud.aiplatform.v1.ContainerRegistryDestination.getDefaultInstance()
+              : imageDestination_;
+        } else {
+          return imageDestinationBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       */
+      public Builder setImageDestination(
+          com.google.cloud.aiplatform.v1.ContainerRegistryDestination value) {
+        if (imageDestinationBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          imageDestination_ = value;
+          onChanged();
+        } else {
+          imageDestinationBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       */
+      public Builder setImageDestination(
+          com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder builderForValue) {
+        if (imageDestinationBuilder_ == null) {
+          imageDestination_ = builderForValue.build();
+          onChanged();
+        } else {
+          imageDestinationBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       */
+      public Builder mergeImageDestination(
+          com.google.cloud.aiplatform.v1.ContainerRegistryDestination value) {
+        if (imageDestinationBuilder_ == null) {
+          if (imageDestination_ != null) {
+            imageDestination_ =
+                com.google.cloud.aiplatform.v1.ContainerRegistryDestination.newBuilder(
+                        imageDestination_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            imageDestination_ = value;
+          }
+          onChanged();
+        } else {
+          imageDestinationBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       */
+      public Builder clearImageDestination() {
+        if (imageDestinationBuilder_ == null) {
+          imageDestination_ = null;
+          onChanged();
+        } else {
+          imageDestination_ = null;
+          imageDestinationBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder
+          getImageDestinationBuilder() {
+
+        onChanged();
+        return getImageDestinationFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.ContainerRegistryDestinationOrBuilder
+          getImageDestinationOrBuilder() {
+        if (imageDestinationBuilder_ != null) {
+          return imageDestinationBuilder_.getMessageOrBuilder();
+        } else {
+          return imageDestination_ == null
+              ? com.google.cloud.aiplatform.v1.ContainerRegistryDestination.getDefaultInstance()
+              : imageDestination_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Google Container Registry or Artifact Registry uri where the
+       * Model container image will be copied to.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.ContainerRegistryDestination image_destination = 4;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.ContainerRegistryDestination,
+              com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder,
+              com.google.cloud.aiplatform.v1.ContainerRegistryDestinationOrBuilder>
+          getImageDestinationFieldBuilder() {
+        if (imageDestinationBuilder_ == null) {
+          imageDestinationBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.ContainerRegistryDestination,
+                  com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder,
+                  com.google.cloud.aiplatform.v1.ContainerRegistryDestinationOrBuilder>(
+                  getImageDestination(), getParentForChildren(), isClean());
+          imageDestination_ = null;
+        }
+        return imageDestinationBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig)
+    private static final com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig();
+    }
+
+    public static com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<OutputConfig> PARSER =
+        new com.google.protobuf.AbstractParser<OutputConfig>() {
+          @java.lang.Override
+          public OutputConfig parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new OutputConfig(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<OutputConfig> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<OutputConfig> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Model to export.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Model to export.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int OUTPUT_CONFIG_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig outputConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location and configuration.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the outputConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasOutputConfig() {
+    return outputConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location and configuration.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The outputConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig getOutputConfig() {
+    return outputConfig_ == null
+        ? com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.getDefaultInstance()
+        : outputConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location and configuration.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfigOrBuilder
+      getOutputConfigOrBuilder() {
+    return getOutputConfig();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (outputConfig_ != null) {
+      output.writeMessage(2, getOutputConfig());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (outputConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getOutputConfig());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ExportModelRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ExportModelRequest other =
+        (com.google.cloud.aiplatform.v1.ExportModelRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (hasOutputConfig() != other.hasOutputConfig()) return false;
+    if (hasOutputConfig()) {
+      if (!getOutputConfig().equals(other.getOutputConfig())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (hasOutputConfig()) {
+      hash = (37 * hash) + OUTPUT_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getOutputConfig().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ExportModelRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportModelRequest)
+      com.google.cloud.aiplatform.v1.ExportModelRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportModelRequest.class,
+              com.google.cloud.aiplatform.v1.ExportModelRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ExportModelRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ExportModelRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelRequest build() {
+      com.google.cloud.aiplatform.v1.ExportModelRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.ExportModelRequest result =
+          new com.google.cloud.aiplatform.v1.ExportModelRequest(this);
+      result.name_ = name_;
+      if (outputConfigBuilder_ == null) {
+        result.outputConfig_ = outputConfig_;
+      } else {
+        result.outputConfig_ = outputConfigBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ExportModelRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ExportModelRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ExportModelRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.ExportModelRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasOutputConfig()) {
+        mergeOutputConfig(other.getOutputConfig());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ExportModelRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ExportModelRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Model to export.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Model to export.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Model to export.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Model to export.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Model to export.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig outputConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig,
+            com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder,
+            com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfigOrBuilder>
+        outputConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the outputConfig field is set.
+     */
+    public boolean hasOutputConfig() {
+      return outputConfigBuilder_ != null || outputConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The outputConfig.
+     */
+    public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig getOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        return outputConfig_ == null
+            ? com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.getDefaultInstance()
+            : outputConfig_;
+      } else {
+        return outputConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setOutputConfig(
+        com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        outputConfig_ = value;
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setOutputConfig(
+        com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder builderForValue) {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        outputConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeOutputConfig(
+        com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig value) {
+      if (outputConfigBuilder_ == null) {
+        if (outputConfig_ != null) {
+          outputConfig_ =
+              com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.newBuilder(
+                      outputConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          outputConfig_ = value;
+        }
+        onChanged();
+      } else {
+        outputConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearOutputConfig() {
+      if (outputConfigBuilder_ == null) {
+        outputConfig_ = null;
+        onChanged();
+      } else {
+        outputConfig_ = null;
+        outputConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder
+        getOutputConfigBuilder() {
+
+      onChanged();
+      return getOutputConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfigOrBuilder
+        getOutputConfigOrBuilder() {
+      if (outputConfigBuilder_ != null) {
+        return outputConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return outputConfig_ == null
+            ? com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.getDefaultInstance()
+            : outputConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired output location and configuration.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig,
+            com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder,
+            com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfigOrBuilder>
+        getOutputConfigFieldBuilder() {
+      if (outputConfigBuilder_ == null) {
+        outputConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig,
+                com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder,
+                com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfigOrBuilder>(
+                getOutputConfig(), getParentForChildren(), isClean());
+        outputConfig_ = null;
+      }
+      return outputConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportModelRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportModelRequest)
+  private static final com.google.cloud.aiplatform.v1.ExportModelRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ExportModelRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExportModelRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ExportModelRequest>() {
+        @java.lang.Override
+        public ExportModelRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportModelRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExportModelRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExportModelRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportModelRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequestOrBuilder.java
new file mode 100644
index 000000000..e6e521135
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelRequestOrBuilder.java
@@ -0,0 +1,98 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ExportModelRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportModelRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Model to export.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Model to export.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location and configuration.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the outputConfig field is set.
+   */
+  boolean hasOutputConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location and configuration.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The outputConfig.
+   */
+  com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig getOutputConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired output location and configuration.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig output_config = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfigOrBuilder
+      getOutputConfigOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponse.java
new file mode 100644
index 000000000..fd7871b4e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponse.java
@@ -0,0 +1,456 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelResponse}
+ */
+public final class ExportModelResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ExportModelResponse)
+    ExportModelResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportModelResponse.newBuilder() to construct.
+  private ExportModelResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExportModelResponse() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExportModelResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportModelResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
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+  }
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+    if (obj == this) {
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+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ExportModelResponse)) {
+      return super.equals(obj);
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+    com.google.cloud.aiplatform.v1.ExportModelResponse other =
+        (com.google.cloud.aiplatform.v1.ExportModelResponse) obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
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+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ExportModelResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ExportModelResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ExportModelResponse)
+      com.google.cloud.aiplatform.v1.ExportModelResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ExportModelResponse.class,
+              com.google.cloud.aiplatform.v1.ExportModelResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ExportModelResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
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+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ExportModelResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ExportModelResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelResponse build() {
+      com.google.cloud.aiplatform.v1.ExportModelResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ExportModelResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ExportModelResponse result =
+          new com.google.cloud.aiplatform.v1.ExportModelResponse(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
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+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
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+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
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+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ExportModelResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ExportModelResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ExportModelResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ExportModelResponse.getDefaultInstance())
+        return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ExportModelResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ExportModelResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ExportModelResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ExportModelResponse)
+  private static final com.google.cloud.aiplatform.v1.ExportModelResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ExportModelResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ExportModelResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExportModelResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ExportModelResponse>() {
+        @java.lang.Override
+        public ExportModelResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportModelResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExportModelResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExportModelResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ExportModelResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponseOrBuilder.java
new file mode 100644
index 000000000..98c1f5daa
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ExportModelResponseOrBuilder.java
@@ -0,0 +1,24 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ExportModelResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ExportModelResponse)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplit.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplit.java
new file mode 100644
index 000000000..20e3e0322
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplit.java
@@ -0,0 +1,1107 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Assigns input data to training, validation, and test sets based on the given
+ * filters, data pieces not matched by any filter are ignored. Currently only
+ * supported for Datasets containing DataItems.
+ * If any of the filters in this message are to match nothing, then they can be
+ * set as '-' (the minus sign).
+ * Supported only for unstructured Datasets.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.FilterSplit}
+ */
+public final class FilterSplit extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.FilterSplit)
+    FilterSplitOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use FilterSplit.newBuilder() to construct.
+  private FilterSplit(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private FilterSplit() {
+    trainingFilter_ = "";
+    validationFilter_ = "";
+    testFilter_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new FilterSplit();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private FilterSplit(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              trainingFilter_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              validationFilter_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              testFilter_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_FilterSplit_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_FilterSplit_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.FilterSplit.class,
+            com.google.cloud.aiplatform.v1.FilterSplit.Builder.class);
+  }
+
+  public static final int TRAINING_FILTER_FIELD_NUMBER = 1;
+  private volatile java.lang.Object trainingFilter_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to train the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The trainingFilter.
+   */
+  @java.lang.Override
+  public java.lang.String getTrainingFilter() {
+    java.lang.Object ref = trainingFilter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      trainingFilter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to train the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for trainingFilter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTrainingFilterBytes() {
+    java.lang.Object ref = trainingFilter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      trainingFilter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int VALIDATION_FILTER_FIELD_NUMBER = 2;
+  private volatile java.lang.Object validationFilter_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to validate the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The validationFilter.
+   */
+  @java.lang.Override
+  public java.lang.String getValidationFilter() {
+    java.lang.Object ref = validationFilter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      validationFilter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to validate the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for validationFilter.
+   */
+  @java.lang.Override
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+      validationFilter_ = b;
+      return b;
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+
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+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to test the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The testFilter.
+   */
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+      java.lang.String s = bs.toStringUtf8();
+      testFilter_ = s;
+      return s;
+    }
+  }
+  /**
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+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to test the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for testFilter.
+   */
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+  public com.google.protobuf.ByteString getTestFilterBytes() {
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+      testFilter_ = b;
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+    if (!getTrainingFilterBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, trainingFilter_);
+    }
+    if (!getValidationFilterBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, validationFilter_);
+    }
+    if (!getTestFilterBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, testFilter_);
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+    size = 0;
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+    memoizedSize = size;
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+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
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+    com.google.cloud.aiplatform.v1.FilterSplit other =
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+
+    if (!getTrainingFilter().equals(other.getTrainingFilter())) return false;
+    if (!getValidationFilter().equals(other.getValidationFilter())) return false;
+    if (!getTestFilter().equals(other.getTestFilter())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
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+
+  @java.lang.Override
+  public int hashCode() {
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+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+    hash = (37 * hash) + VALIDATION_FILTER_FIELD_NUMBER;
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+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
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+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
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+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FilterSplit parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+
+  public static com.google.cloud.aiplatform.v1.FilterSplit parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FilterSplit parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.FilterSplit prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Assigns input data to training, validation, and test sets based on the given
+   * filters, data pieces not matched by any filter are ignored. Currently only
+   * supported for Datasets containing DataItems.
+   * If any of the filters in this message are to match nothing, then they can be
+   * set as '-' (the minus sign).
+   * Supported only for unstructured Datasets.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.FilterSplit}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.FilterSplit)
+      com.google.cloud.aiplatform.v1.FilterSplitOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+          .internal_static_google_cloud_aiplatform_v1_FilterSplit_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+          .internal_static_google_cloud_aiplatform_v1_FilterSplit_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.FilterSplit.class,
+              com.google.cloud.aiplatform.v1.FilterSplit.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.FilterSplit.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      trainingFilter_ = "";
+
+      validationFilter_ = "";
+
+      testFilter_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+          .internal_static_google_cloud_aiplatform_v1_FilterSplit_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FilterSplit getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FilterSplit build() {
+      com.google.cloud.aiplatform.v1.FilterSplit result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FilterSplit buildPartial() {
+      com.google.cloud.aiplatform.v1.FilterSplit result =
+          new com.google.cloud.aiplatform.v1.FilterSplit(this);
+      result.trainingFilter_ = trainingFilter_;
+      result.validationFilter_ = validationFilter_;
+      result.testFilter_ = testFilter_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
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+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
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+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    @java.lang.Override
+    public Builder setRepeatedField(
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+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.FilterSplit) {
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+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.FilterSplit other) {
+      if (other == com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance()) return this;
+      if (!other.getTrainingFilter().isEmpty()) {
+        trainingFilter_ = other.trainingFilter_;
+        onChanged();
+      }
+      if (!other.getValidationFilter().isEmpty()) {
+        validationFilter_ = other.validationFilter_;
+        onChanged();
+      }
+      if (!other.getTestFilter().isEmpty()) {
+        testFilter_ = other.testFilter_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.FilterSplit parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.FilterSplit) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object trainingFilter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to train the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The trainingFilter.
+     */
+    public java.lang.String getTrainingFilter() {
+      java.lang.Object ref = trainingFilter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        trainingFilter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to train the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for trainingFilter.
+     */
+    public com.google.protobuf.ByteString getTrainingFilterBytes() {
+      java.lang.Object ref = trainingFilter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        trainingFilter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to train the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The trainingFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainingFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      trainingFilter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to train the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTrainingFilter() {
+
+      trainingFilter_ = getDefaultInstance().getTrainingFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to train the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for trainingFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainingFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      trainingFilter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object validationFilter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to validate the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The validationFilter.
+     */
+    public java.lang.String getValidationFilter() {
+      java.lang.Object ref = validationFilter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        validationFilter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to validate the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for validationFilter.
+     */
+    public com.google.protobuf.ByteString getValidationFilterBytes() {
+      java.lang.Object ref = validationFilter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        validationFilter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to validate the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The validationFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValidationFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      validationFilter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to validate the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearValidationFilter() {
+
+      validationFilter_ = getDefaultInstance().getValidationFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to validate the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for validationFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValidationFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      validationFilter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object testFilter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to test the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The testFilter.
+     */
+    public java.lang.String getTestFilter() {
+      java.lang.Object ref = testFilter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        testFilter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to test the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for testFilter.
+     */
+    public com.google.protobuf.ByteString getTestFilterBytes() {
+      java.lang.Object ref = testFilter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        testFilter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to test the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The testFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTestFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      testFilter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to test the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTestFilter() {
+
+      testFilter_ = getDefaultInstance().getTestFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A filter on DataItems of the Dataset. DataItems that match
+     * this filter are used to test the Model. A filter with same syntax
+     * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+     * single DataItem is matched by more than one of the FilterSplit filters,
+     * then it is assigned to the first set that applies to it in the
+     * training, validation, test order.
+     * </pre>
+     *
+     * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for testFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTestFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      testFilter_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.FilterSplit)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.FilterSplit)
+  private static final com.google.cloud.aiplatform.v1.FilterSplit DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.FilterSplit();
+  }
+
+  public static com.google.cloud.aiplatform.v1.FilterSplit getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<FilterSplit> PARSER =
+      new com.google.protobuf.AbstractParser<FilterSplit>() {
+        @java.lang.Override
+        public FilterSplit parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new FilterSplit(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<FilterSplit> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<FilterSplit> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.FilterSplit getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplitOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplitOrBuilder.java
new file mode 100644
index 000000000..f73c7c5ad
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FilterSplitOrBuilder.java
@@ -0,0 +1,130 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface FilterSplitOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.FilterSplit)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to train the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The trainingFilter.
+   */
+  java.lang.String getTrainingFilter();
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to train the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string training_filter = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for trainingFilter.
+   */
+  com.google.protobuf.ByteString getTrainingFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to validate the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The validationFilter.
+   */
+  java.lang.String getValidationFilter();
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to validate the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string validation_filter = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for validationFilter.
+   */
+  com.google.protobuf.ByteString getValidationFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to test the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The testFilter.
+   */
+  java.lang.String getTestFilter();
+  /**
+   *
+   *
+   * <pre>
+   * Required. A filter on DataItems of the Dataset. DataItems that match
+   * this filter are used to test the Model. A filter with same syntax
+   * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+   * single DataItem is matched by more than one of the FilterSplit filters,
+   * then it is assigned to the first set that applies to it in the
+   * training, validation, test order.
+   * </pre>
+   *
+   * <code>string test_filter = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for testFilter.
+   */
+  com.google.protobuf.ByteString getTestFilterBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FractionSplit.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FractionSplit.java
new file mode 100644
index 000000000..b05181f9f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FractionSplit.java
@@ -0,0 +1,746 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Assigns the input data to training, validation, and test sets as per the
+ * given fractions. Any of `training_fraction`, `validation_fraction` and
+ * `test_fraction` may optionally be provided, they must sum to up to 1. If the
+ * provided ones sum to less than 1, the remainder is assigned to sets as
+ * decided by AI Platform. If none of the fractions are set, by default roughly
+ * 80% of data is used for training, 10% for validation, and 10% for test.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.FractionSplit}
+ */
+public final class FractionSplit extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.FractionSplit)
+    FractionSplitOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use FractionSplit.newBuilder() to construct.
+  private FractionSplit(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private FractionSplit() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new FractionSplit();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private FractionSplit(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 9:
+            {
+              trainingFraction_ = input.readDouble();
+              break;
+            }
+          case 17:
+            {
+              validationFraction_ = input.readDouble();
+              break;
+            }
+          case 25:
+            {
+              testFraction_ = input.readDouble();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_FractionSplit_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_FractionSplit_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.FractionSplit.class,
+            com.google.cloud.aiplatform.v1.FractionSplit.Builder.class);
+  }
+
+  public static final int TRAINING_FRACTION_FIELD_NUMBER = 1;
+  private double trainingFraction_;
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to train the Model.
+   * </pre>
+   *
+   * <code>double training_fraction = 1;</code>
+   *
+   * @return The trainingFraction.
+   */
+  @java.lang.Override
+  public double getTrainingFraction() {
+    return trainingFraction_;
+  }
+
+  public static final int VALIDATION_FRACTION_FIELD_NUMBER = 2;
+  private double validationFraction_;
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to validate the Model.
+   * </pre>
+   *
+   * <code>double validation_fraction = 2;</code>
+   *
+   * @return The validationFraction.
+   */
+  @java.lang.Override
+  public double getValidationFraction() {
+    return validationFraction_;
+  }
+
+  public static final int TEST_FRACTION_FIELD_NUMBER = 3;
+  private double testFraction_;
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to evaluate the Model.
+   * </pre>
+   *
+   * <code>double test_fraction = 3;</code>
+   *
+   * @return The testFraction.
+   */
+  @java.lang.Override
+  public double getTestFraction() {
+    return testFraction_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (trainingFraction_ != 0D) {
+      output.writeDouble(1, trainingFraction_);
+    }
+    if (validationFraction_ != 0D) {
+      output.writeDouble(2, validationFraction_);
+    }
+    if (testFraction_ != 0D) {
+      output.writeDouble(3, testFraction_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (trainingFraction_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, trainingFraction_);
+    }
+    if (validationFraction_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, validationFraction_);
+    }
+    if (testFraction_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(3, testFraction_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.FractionSplit)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.FractionSplit other =
+        (com.google.cloud.aiplatform.v1.FractionSplit) obj;
+
+    if (java.lang.Double.doubleToLongBits(getTrainingFraction())
+        != java.lang.Double.doubleToLongBits(other.getTrainingFraction())) return false;
+    if (java.lang.Double.doubleToLongBits(getValidationFraction())
+        != java.lang.Double.doubleToLongBits(other.getValidationFraction())) return false;
+    if (java.lang.Double.doubleToLongBits(getTestFraction())
+        != java.lang.Double.doubleToLongBits(other.getTestFraction())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + TRAINING_FRACTION_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(
+                java.lang.Double.doubleToLongBits(getTrainingFraction()));
+    hash = (37 * hash) + VALIDATION_FRACTION_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(
+                java.lang.Double.doubleToLongBits(getValidationFraction()));
+    hash = (37 * hash) + TEST_FRACTION_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(
+                java.lang.Double.doubleToLongBits(getTestFraction()));
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.FractionSplit prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Assigns the input data to training, validation, and test sets as per the
+   * given fractions. Any of `training_fraction`, `validation_fraction` and
+   * `test_fraction` may optionally be provided, they must sum to up to 1. If the
+   * provided ones sum to less than 1, the remainder is assigned to sets as
+   * decided by AI Platform. If none of the fractions are set, by default roughly
+   * 80% of data is used for training, 10% for validation, and 10% for test.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.FractionSplit}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.FractionSplit)
+      com.google.cloud.aiplatform.v1.FractionSplitOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+          .internal_static_google_cloud_aiplatform_v1_FractionSplit_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+          .internal_static_google_cloud_aiplatform_v1_FractionSplit_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.FractionSplit.class,
+              com.google.cloud.aiplatform.v1.FractionSplit.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.FractionSplit.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      trainingFraction_ = 0D;
+
+      validationFraction_ = 0D;
+
+      testFraction_ = 0D;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+          .internal_static_google_cloud_aiplatform_v1_FractionSplit_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FractionSplit getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.FractionSplit.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FractionSplit build() {
+      com.google.cloud.aiplatform.v1.FractionSplit result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FractionSplit buildPartial() {
+      com.google.cloud.aiplatform.v1.FractionSplit result =
+          new com.google.cloud.aiplatform.v1.FractionSplit(this);
+      result.trainingFraction_ = trainingFraction_;
+      result.validationFraction_ = validationFraction_;
+      result.testFraction_ = testFraction_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.FractionSplit) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.FractionSplit) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.FractionSplit other) {
+      if (other == com.google.cloud.aiplatform.v1.FractionSplit.getDefaultInstance()) return this;
+      if (other.getTrainingFraction() != 0D) {
+        setTrainingFraction(other.getTrainingFraction());
+      }
+      if (other.getValidationFraction() != 0D) {
+        setValidationFraction(other.getValidationFraction());
+      }
+      if (other.getTestFraction() != 0D) {
+        setTestFraction(other.getTestFraction());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.FractionSplit parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.FractionSplit) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private double trainingFraction_;
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to train the Model.
+     * </pre>
+     *
+     * <code>double training_fraction = 1;</code>
+     *
+     * @return The trainingFraction.
+     */
+    @java.lang.Override
+    public double getTrainingFraction() {
+      return trainingFraction_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to train the Model.
+     * </pre>
+     *
+     * <code>double training_fraction = 1;</code>
+     *
+     * @param value The trainingFraction to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainingFraction(double value) {
+
+      trainingFraction_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to train the Model.
+     * </pre>
+     *
+     * <code>double training_fraction = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTrainingFraction() {
+
+      trainingFraction_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    private double validationFraction_;
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to validate the Model.
+     * </pre>
+     *
+     * <code>double validation_fraction = 2;</code>
+     *
+     * @return The validationFraction.
+     */
+    @java.lang.Override
+    public double getValidationFraction() {
+      return validationFraction_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to validate the Model.
+     * </pre>
+     *
+     * <code>double validation_fraction = 2;</code>
+     *
+     * @param value The validationFraction to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValidationFraction(double value) {
+
+      validationFraction_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to validate the Model.
+     * </pre>
+     *
+     * <code>double validation_fraction = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearValidationFraction() {
+
+      validationFraction_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    private double testFraction_;
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to evaluate the Model.
+     * </pre>
+     *
+     * <code>double test_fraction = 3;</code>
+     *
+     * @return The testFraction.
+     */
+    @java.lang.Override
+    public double getTestFraction() {
+      return testFraction_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to evaluate the Model.
+     * </pre>
+     *
+     * <code>double test_fraction = 3;</code>
+     *
+     * @param value The testFraction to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTestFraction(double value) {
+
+      testFraction_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to evaluate the Model.
+     * </pre>
+     *
+     * <code>double test_fraction = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTestFraction() {
+
+      testFraction_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.FractionSplit)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.FractionSplit)
+  private static final com.google.cloud.aiplatform.v1.FractionSplit DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.FractionSplit();
+  }
+
+  public static com.google.cloud.aiplatform.v1.FractionSplit getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<FractionSplit> PARSER =
+      new com.google.protobuf.AbstractParser<FractionSplit>() {
+        @java.lang.Override
+        public FractionSplit parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new FractionSplit(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<FractionSplit> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<FractionSplit> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.FractionSplit getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FractionSplitOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FractionSplitOrBuilder.java
new file mode 100644
index 000000000..732052e3d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/FractionSplitOrBuilder.java
@@ -0,0 +1,64 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface FractionSplitOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.FractionSplit)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to train the Model.
+   * </pre>
+   *
+   * <code>double training_fraction = 1;</code>
+   *
+   * @return The trainingFraction.
+   */
+  double getTrainingFraction();
+
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to validate the Model.
+   * </pre>
+   *
+   * <code>double validation_fraction = 2;</code>
+   *
+   * @return The validationFraction.
+   */
+  double getValidationFraction();
+
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to evaluate the Model.
+   * </pre>
+   *
+   * <code>double test_fraction = 3;</code>
+   *
+   * @return The testFraction.
+   */
+  double getTestFraction();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestination.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestination.java
new file mode 100644
index 000000000..6b3c368f6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestination.java
@@ -0,0 +1,648 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * The Google Cloud Storage location where the output is to be written to.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GcsDestination}
+ */
+public final class GcsDestination extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GcsDestination)
+    GcsDestinationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GcsDestination.newBuilder() to construct.
+  private GcsDestination(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GcsDestination() {
+    outputUriPrefix_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GcsDestination();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GcsDestination(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              outputUriPrefix_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_GcsDestination_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_GcsDestination_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GcsDestination.class,
+            com.google.cloud.aiplatform.v1.GcsDestination.Builder.class);
+  }
+
+  public static final int OUTPUT_URI_PREFIX_FIELD_NUMBER = 1;
+  private volatile java.lang.Object outputUriPrefix_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * '/', a '/' will be automatically appended. The directory is created if it
+   * doesn't exist.
+   * </pre>
+   *
+   * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The outputUriPrefix.
+   */
+  @java.lang.Override
+  public java.lang.String getOutputUriPrefix() {
+    java.lang.Object ref = outputUriPrefix_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      outputUriPrefix_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * '/', a '/' will be automatically appended. The directory is created if it
+   * doesn't exist.
+   * </pre>
+   *
+   * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for outputUriPrefix.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getOutputUriPrefixBytes() {
+    java.lang.Object ref = outputUriPrefix_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      outputUriPrefix_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getOutputUriPrefixBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, outputUriPrefix_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getOutputUriPrefixBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, outputUriPrefix_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GcsDestination)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GcsDestination other =
+        (com.google.cloud.aiplatform.v1.GcsDestination) obj;
+
+    if (!getOutputUriPrefix().equals(other.getOutputUriPrefix())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + OUTPUT_URI_PREFIX_FIELD_NUMBER;
+    hash = (53 * hash) + getOutputUriPrefix().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.GcsDestination prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location where the output is to be written to.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GcsDestination}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GcsDestination)
+      com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_GcsDestination_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_GcsDestination_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GcsDestination.class,
+              com.google.cloud.aiplatform.v1.GcsDestination.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GcsDestination.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      outputUriPrefix_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_GcsDestination_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestination getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestination build() {
+      com.google.cloud.aiplatform.v1.GcsDestination result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestination buildPartial() {
+      com.google.cloud.aiplatform.v1.GcsDestination result =
+          new com.google.cloud.aiplatform.v1.GcsDestination(this);
+      result.outputUriPrefix_ = outputUriPrefix_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GcsDestination) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GcsDestination) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GcsDestination other) {
+      if (other == com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()) return this;
+      if (!other.getOutputUriPrefix().isEmpty()) {
+        outputUriPrefix_ = other.outputUriPrefix_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GcsDestination parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.GcsDestination) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object outputUriPrefix_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * '/', a '/' will be automatically appended. The directory is created if it
+     * doesn't exist.
+     * </pre>
+     *
+     * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The outputUriPrefix.
+     */
+    public java.lang.String getOutputUriPrefix() {
+      java.lang.Object ref = outputUriPrefix_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        outputUriPrefix_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * '/', a '/' will be automatically appended. The directory is created if it
+     * doesn't exist.
+     * </pre>
+     *
+     * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for outputUriPrefix.
+     */
+    public com.google.protobuf.ByteString getOutputUriPrefixBytes() {
+      java.lang.Object ref = outputUriPrefix_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        outputUriPrefix_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * '/', a '/' will be automatically appended. The directory is created if it
+     * doesn't exist.
+     * </pre>
+     *
+     * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The outputUriPrefix to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOutputUriPrefix(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      outputUriPrefix_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * '/', a '/' will be automatically appended. The directory is created if it
+     * doesn't exist.
+     * </pre>
+     *
+     * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOutputUriPrefix() {
+
+      outputUriPrefix_ = getDefaultInstance().getOutputUriPrefix();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+     * '/', a '/' will be automatically appended. The directory is created if it
+     * doesn't exist.
+     * </pre>
+     *
+     * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for outputUriPrefix to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOutputUriPrefixBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      outputUriPrefix_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GcsDestination)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GcsDestination)
+  private static final com.google.cloud.aiplatform.v1.GcsDestination DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GcsDestination();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsDestination getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GcsDestination> PARSER =
+      new com.google.protobuf.AbstractParser<GcsDestination>() {
+        @java.lang.Override
+        public GcsDestination parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GcsDestination(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GcsDestination> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GcsDestination> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsDestination getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestinationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestinationOrBuilder.java
new file mode 100644
index 000000000..3c0aae727
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsDestinationOrBuilder.java
@@ -0,0 +1,54 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GcsDestinationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GcsDestination)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * '/', a '/' will be automatically appended. The directory is created if it
+   * doesn't exist.
+   * </pre>
+   *
+   * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The outputUriPrefix.
+   */
+  java.lang.String getOutputUriPrefix();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+   * '/', a '/' will be automatically appended. The directory is created if it
+   * doesn't exist.
+   * </pre>
+   *
+   * <code>string output_uri_prefix = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for outputUriPrefix.
+   */
+  com.google.protobuf.ByteString getOutputUriPrefixBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsSource.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsSource.java
new file mode 100644
index 000000000..0efda0233
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsSource.java
@@ -0,0 +1,760 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * The Google Cloud Storage location for the input content.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GcsSource}
+ */
+public final class GcsSource extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GcsSource)
+    GcsSourceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GcsSource.newBuilder() to construct.
+  private GcsSource(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GcsSource() {
+    uris_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GcsSource();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GcsSource(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                uris_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              uris_.add(s);
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        uris_ = uris_.getUnmodifiableView();
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_GcsSource_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.IoProto
+        .internal_static_google_cloud_aiplatform_v1_GcsSource_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GcsSource.class,
+            com.google.cloud.aiplatform.v1.GcsSource.Builder.class);
+  }
+
+  public static final int URIS_FIELD_NUMBER = 1;
+  private com.google.protobuf.LazyStringList uris_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+   * wildcards. For more information on wildcards, see
+   * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+   * </pre>
+   *
+   * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return A list containing the uris.
+   */
+  public com.google.protobuf.ProtocolStringList getUrisList() {
+    return uris_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+   * wildcards. For more information on wildcards, see
+   * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+   * </pre>
+   *
+   * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The count of uris.
+   */
+  public int getUrisCount() {
+    return uris_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+   * wildcards. For more information on wildcards, see
+   * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+   * </pre>
+   *
+   * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The uris at the given index.
+   */
+  public java.lang.String getUris(int index) {
+    return uris_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+   * wildcards. For more information on wildcards, see
+   * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+   * </pre>
+   *
+   * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the uris at the given index.
+   */
+  public com.google.protobuf.ByteString getUrisBytes(int index) {
+    return uris_.getByteString(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < uris_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, uris_.getRaw(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    {
+      int dataSize = 0;
+      for (int i = 0; i < uris_.size(); i++) {
+        dataSize += computeStringSizeNoTag(uris_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getUrisList().size();
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GcsSource)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GcsSource other = (com.google.cloud.aiplatform.v1.GcsSource) obj;
+
+    if (!getUrisList().equals(other.getUrisList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getUrisCount() > 0) {
+      hash = (37 * hash) + URIS_FIELD_NUMBER;
+      hash = (53 * hash) + getUrisList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.GcsSource prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location for the input content.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GcsSource}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GcsSource)
+      com.google.cloud.aiplatform.v1.GcsSourceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_GcsSource_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_GcsSource_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GcsSource.class,
+              com.google.cloud.aiplatform.v1.GcsSource.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GcsSource.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      uris_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.IoProto
+          .internal_static_google_cloud_aiplatform_v1_GcsSource_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsSource getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsSource build() {
+      com.google.cloud.aiplatform.v1.GcsSource result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsSource buildPartial() {
+      com.google.cloud.aiplatform.v1.GcsSource result =
+          new com.google.cloud.aiplatform.v1.GcsSource(this);
+      int from_bitField0_ = bitField0_;
+      if (((bitField0_ & 0x00000001) != 0)) {
+        uris_ = uris_.getUnmodifiableView();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      }
+      result.uris_ = uris_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GcsSource) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GcsSource) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GcsSource other) {
+      if (other == com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance()) return this;
+      if (!other.uris_.isEmpty()) {
+        if (uris_.isEmpty()) {
+          uris_ = other.uris_;
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          ensureUrisIsMutable();
+          uris_.addAll(other.uris_);
+        }
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GcsSource parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.GcsSource) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.LazyStringList uris_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureUrisIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        uris_ = new com.google.protobuf.LazyStringArrayList(uris_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return A list containing the uris.
+     */
+    public com.google.protobuf.ProtocolStringList getUrisList() {
+      return uris_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The count of uris.
+     */
+    public int getUrisCount() {
+      return uris_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param index The index of the element to return.
+     * @return The uris at the given index.
+     */
+    public java.lang.String getUris(int index) {
+      return uris_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the uris at the given index.
+     */
+    public com.google.protobuf.ByteString getUrisBytes(int index) {
+      return uris_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The uris to set.
+     * @return This builder for chaining.
+     */
+    public Builder setUris(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureUrisIsMutable();
+      uris_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The uris to add.
+     * @return This builder for chaining.
+     */
+    public Builder addUris(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureUrisIsMutable();
+      uris_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param values The uris to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllUris(java.lang.Iterable<java.lang.String> values) {
+      ensureUrisIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, uris_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearUris() {
+      uris_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+     * wildcards. For more information on wildcards, see
+     * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+     * </pre>
+     *
+     * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes of the uris to add.
+     * @return This builder for chaining.
+     */
+    public Builder addUrisBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureUrisIsMutable();
+      uris_.add(value);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GcsSource)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GcsSource)
+  private static final com.google.cloud.aiplatform.v1.GcsSource DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GcsSource();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GcsSource getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GcsSource> PARSER =
+      new com.google.protobuf.AbstractParser<GcsSource>() {
+        @java.lang.Override
+        public GcsSource parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GcsSource(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GcsSource> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GcsSource> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsSource getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsSourceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsSourceOrBuilder.java
new file mode 100644
index 000000000..5923d5845
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GcsSourceOrBuilder.java
@@ -0,0 +1,84 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GcsSourceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GcsSource)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+   * wildcards. For more information on wildcards, see
+   * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+   * </pre>
+   *
+   * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return A list containing the uris.
+   */
+  java.util.List<java.lang.String> getUrisList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+   * wildcards. For more information on wildcards, see
+   * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+   * </pre>
+   *
+   * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The count of uris.
+   */
+  int getUrisCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+   * wildcards. For more information on wildcards, see
+   * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+   * </pre>
+   *
+   * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The uris at the given index.
+   */
+  java.lang.String getUris(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+   * wildcards. For more information on wildcards, see
+   * https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+   * </pre>
+   *
+   * <code>repeated string uris = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the uris at the given index.
+   */
+  com.google.protobuf.ByteString getUrisBytes(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GenericOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GenericOperationMetadata.java
new file mode 100644
index 000000000..ed30e5a6a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GenericOperationMetadata.java
@@ -0,0 +1,1670 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/operation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Generic Metadata shared by all operations.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GenericOperationMetadata}
+ */
+public final class GenericOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GenericOperationMetadata)
+    GenericOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GenericOperationMetadata.newBuilder() to construct.
+  private GenericOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GenericOperationMetadata() {
+    partialFailures_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GenericOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GenericOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                partialFailures_ = new java.util.ArrayList<com.google.rpc.Status>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              partialFailures_.add(
+                  input.readMessage(com.google.rpc.Status.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 26:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        partialFailures_ = java.util.Collections.unmodifiableList(partialFailures_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.OperationProto
+        .internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.OperationProto
+        .internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder.class);
+  }
+
+  public static final int PARTIAL_FAILURES_FIELD_NUMBER = 1;
+  private java.util.List<com.google.rpc.Status> partialFailures_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.rpc.Status> getPartialFailuresList() {
+    return partialFailures_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.rpc.StatusOrBuilder>
+      getPartialFailuresOrBuilderList() {
+    return partialFailures_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getPartialFailuresCount() {
+    return partialFailures_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.rpc.Status getPartialFailures(int index) {
+    return partialFailures_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) {
+    return partialFailures_.get(index);
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 2;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 3;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was updated for the last time.
+   * If the operation has finished (successfully or not), this is the finish
+   * time.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was updated for the last time.
+   * If the operation has finished (successfully or not), this is the finish
+   * time.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was updated for the last time.
+   * If the operation has finished (successfully or not), this is the finish
+   * time.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < partialFailures_.size(); i++) {
+      output.writeMessage(1, partialFailures_.get(i));
+    }
+    if (createTime_ != null) {
+      output.writeMessage(2, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(3, getUpdateTime());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < partialFailures_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, partialFailures_.get(i));
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getUpdateTime());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GenericOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GenericOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.GenericOperationMetadata) obj;
+
+    if (!getPartialFailuresList().equals(other.getPartialFailuresList())) return false;
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasUpdateTime() != other.hasUpdateTime()) return false;
+    if (hasUpdateTime()) {
+      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getPartialFailuresCount() > 0) {
+      hash = (37 * hash) + PARTIAL_FAILURES_FIELD_NUMBER;
+      hash = (53 * hash) + getPartialFailuresList().hashCode();
+    }
+    if (hasCreateTime()) {
+      hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getCreateTime().hashCode();
+    }
+    if (hasUpdateTime()) {
+      hash = (37 * hash) + UPDATE_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getUpdateTime().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.GenericOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Generic Metadata shared by all operations.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GenericOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GenericOperationMetadata)
+      com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.OperationProto
+          .internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.OperationProto
+          .internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getPartialFailuresFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (partialFailuresBuilder_ == null) {
+        partialFailures_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        partialFailuresBuilder_.clear();
+      }
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.OperationProto
+          .internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.GenericOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.GenericOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.GenericOperationMetadata(this);
+      int from_bitField0_ = bitField0_;
+      if (partialFailuresBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          partialFailures_ = java.util.Collections.unmodifiableList(partialFailures_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.partialFailures_ = partialFailures_;
+      } else {
+        result.partialFailures_ = partialFailuresBuilder_.build();
+      }
+      if (createTimeBuilder_ == null) {
+        result.createTime_ = createTime_;
+      } else {
+        result.createTime_ = createTimeBuilder_.build();
+      }
+      if (updateTimeBuilder_ == null) {
+        result.updateTime_ = updateTime_;
+      } else {
+        result.updateTime_ = updateTimeBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GenericOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GenericOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GenericOperationMetadata other) {
+      if (other == com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance())
+        return this;
+      if (partialFailuresBuilder_ == null) {
+        if (!other.partialFailures_.isEmpty()) {
+          if (partialFailures_.isEmpty()) {
+            partialFailures_ = other.partialFailures_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensurePartialFailuresIsMutable();
+            partialFailures_.addAll(other.partialFailures_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.partialFailures_.isEmpty()) {
+          if (partialFailuresBuilder_.isEmpty()) {
+            partialFailuresBuilder_.dispose();
+            partialFailuresBuilder_ = null;
+            partialFailures_ = other.partialFailures_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            partialFailuresBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getPartialFailuresFieldBuilder()
+                    : null;
+          } else {
+            partialFailuresBuilder_.addAllMessages(other.partialFailures_);
+          }
+        }
+      }
+      if (other.hasCreateTime()) {
+        mergeCreateTime(other.getCreateTime());
+      }
+      if (other.hasUpdateTime()) {
+        mergeUpdateTime(other.getUpdateTime());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GenericOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.GenericOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.rpc.Status> partialFailures_ =
+        java.util.Collections.emptyList();
+
+    private void ensurePartialFailuresIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        partialFailures_ = new java.util.ArrayList<com.google.rpc.Status>(partialFailures_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        partialFailuresBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.rpc.Status> getPartialFailuresList() {
+      if (partialFailuresBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(partialFailures_);
+      } else {
+        return partialFailuresBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getPartialFailuresCount() {
+      if (partialFailuresBuilder_ == null) {
+        return partialFailures_.size();
+      } else {
+        return partialFailuresBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.Status getPartialFailures(int index) {
+      if (partialFailuresBuilder_ == null) {
+        return partialFailures_.get(index);
+      } else {
+        return partialFailuresBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setPartialFailures(int index, com.google.rpc.Status value) {
+      if (partialFailuresBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialFailuresIsMutable();
+        partialFailures_.set(index, value);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setPartialFailures(int index, com.google.rpc.Status.Builder builderForValue) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        partialFailures_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialFailuresBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addPartialFailures(com.google.rpc.Status value) {
+      if (partialFailuresBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialFailuresIsMutable();
+        partialFailures_.add(value);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addPartialFailures(int index, com.google.rpc.Status value) {
+      if (partialFailuresBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialFailuresIsMutable();
+        partialFailures_.add(index, value);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addPartialFailures(com.google.rpc.Status.Builder builderForValue) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        partialFailures_.add(builderForValue.build());
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addPartialFailures(int index, com.google.rpc.Status.Builder builderForValue) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        partialFailures_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllPartialFailures(
+        java.lang.Iterable<? extends com.google.rpc.Status> values) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, partialFailures_);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearPartialFailures() {
+      if (partialFailuresBuilder_ == null) {
+        partialFailures_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removePartialFailures(int index) {
+      if (partialFailuresBuilder_ == null) {
+        ensurePartialFailuresIsMutable();
+        partialFailures_.remove(index);
+        onChanged();
+      } else {
+        partialFailuresBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.Status.Builder getPartialFailuresBuilder(int index) {
+      return getPartialFailuresFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index) {
+      if (partialFailuresBuilder_ == null) {
+        return partialFailures_.get(index);
+      } else {
+        return partialFailuresBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<? extends com.google.rpc.StatusOrBuilder>
+        getPartialFailuresOrBuilderList() {
+      if (partialFailuresBuilder_ != null) {
+        return partialFailuresBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(partialFailures_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.Status.Builder addPartialFailuresBuilder() {
+      return getPartialFailuresFieldBuilder()
+          .addBuilder(com.google.rpc.Status.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.rpc.Status.Builder addPartialFailuresBuilder(int index) {
+      return getPartialFailuresFieldBuilder()
+          .addBuilder(index, com.google.rpc.Status.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Partial failures encountered.
+     * E.g. single files that couldn't be read.
+     * This field should never exceed 20 entries.
+     * Status details field will contain standard GCP error details.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.rpc.Status.Builder> getPartialFailuresBuilderList() {
+      return getPartialFailuresFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        getPartialFailuresFieldBuilder() {
+      if (partialFailuresBuilder_ == null) {
+        partialFailuresBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.rpc.Status,
+                com.google.rpc.Status.Builder,
+                com.google.rpc.StatusOrBuilder>(
+                partialFailures_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        partialFailures_ = null;
+      }
+      return partialFailuresBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the operation was updated for the last time.
+     * If the operation has finished (successfully or not), this is the finish
+     * time.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GenericOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GenericOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.GenericOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GenericOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GenericOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GenericOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<GenericOperationMetadata>() {
+        @java.lang.Override
+        public GenericOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GenericOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GenericOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GenericOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GenericOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GenericOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..b6090c861
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GenericOperationMetadataOrBuilder.java
@@ -0,0 +1,183 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/operation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GenericOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GenericOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.rpc.Status> getPartialFailuresList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.rpc.Status getPartialFailures(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getPartialFailuresCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<? extends com.google.rpc.StatusOrBuilder> getPartialFailuresOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Partial failures encountered.
+   * E.g. single files that couldn't be read.
+   * This field should never exceed 20 entries.
+   * Status details field will contain standard GCP error details.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.rpc.Status partial_failures = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.rpc.StatusOrBuilder getPartialFailuresOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was updated for the last time.
+   * If the operation has finished (successfully or not), this is the finish
+   * time.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was updated for the last time.
+   * If the operation has finished (successfully or not), this is the finish
+   * time.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the operation was updated for the last time.
+   * If the operation has finished (successfully or not), this is the finish
+   * time.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequest.java
new file mode 100644
index 000000000..f64e47c2f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequest.java
@@ -0,0 +1,933 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetAnnotationSpecRequest}
+ */
+public final class GetAnnotationSpecRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetAnnotationSpecRequest)
+    GetAnnotationSpecRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetAnnotationSpecRequest.newBuilder() to construct.
+  private GetAnnotationSpecRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetAnnotationSpecRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetAnnotationSpecRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GetAnnotationSpecRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetAnnotationSpecRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetAnnotationSpecRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest.class,
+            com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the AnnotationSpec resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the AnnotationSpec resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int READ_MASK_FIELD_NUMBER = 2;
+  private com.google.protobuf.FieldMask readMask_;
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  @java.lang.Override
+  public boolean hasReadMask() {
+    return readMask_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+   *
+   * @return The readMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMask getReadMask() {
+    return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+    return getReadMask();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (readMask_ != null) {
+      output.writeMessage(2, getReadMask());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (readMask_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getReadMask());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest other =
+        (com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest) obj;
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+    public Builder mergeFrom(
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
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+     * <pre>
+     * Required. The name of the AnnotationSpec resource.
+     * Format:
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+     * </pre>
+     *
+     * <code>
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+     * <pre>
+     * Required. The name of the AnnotationSpec resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+    /**
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+     *
+     * <pre>
+     * Required. The name of the AnnotationSpec resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
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+      onChanged();
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the AnnotationSpec resource.
+     * Format:
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+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
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+    public final Builder mergeUnknownFields(
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+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetAnnotationSpecRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetAnnotationSpecRequest)
+  private static final com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetAnnotationSpecRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetAnnotationSpecRequest>() {
+        @java.lang.Override
+        public GetAnnotationSpecRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetAnnotationSpecRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetAnnotationSpecRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetAnnotationSpecRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequestOrBuilder.java
new file mode 100644
index 000000000..88d96a45a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetAnnotationSpecRequestOrBuilder.java
@@ -0,0 +1,93 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetAnnotationSpecRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetAnnotationSpecRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the AnnotationSpec resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the AnnotationSpec resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
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+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequest.java
new file mode 100644
index 000000000..3b77b054a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetBatchPredictionJobRequest}
+ */
+public final class GetBatchPredictionJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetBatchPredictionJobRequest)
+    GetBatchPredictionJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetBatchPredictionJobRequest.newBuilder() to construct.
+  private GetBatchPredictionJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetBatchPredictionJobRequest() {
+    name_ = "";
+  }
+
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+  @SuppressWarnings({"unused"})
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+        .internal_static_google_cloud_aiplatform_v1_GetBatchPredictionJobRequest_descriptor;
+  }
+
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+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
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+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest)) {
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+    com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest other =
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+  public static com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest parseFrom(
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+  public static com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
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+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
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+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
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+  public static Builder newBuilder(
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+  }
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+  @java.lang.Override
+  public Builder toBuilder() {
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+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetBatchPredictionJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetBatchPredictionJobRequest)
+      com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetBatchPredictionJobRequest_descriptor;
+    }
+
+    @java.lang.Override
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+    // Construct using com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest.newBuilder()
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+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetBatchPredictionJobRequest_descriptor;
+    }
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+    @java.lang.Override
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+      onBuilt();
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+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+      com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest parsedMessage = null;
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+      return this;
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+
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the BatchPredictionJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
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+     * Format:
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+     * </pre>
+     *
+     * <code>
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+     * <pre>
+     * Required. The name of the BatchPredictionJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     * </pre>
+     *
+     * <code>
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+     * </code>
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+     * Format:
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+     * </pre>
+     *
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+
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+
+  static {
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+  }
+
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+  }
+
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+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetBatchPredictionJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetBatchPredictionJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetBatchPredictionJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequestOrBuilder.java
new file mode 100644
index 000000000..eebb7424f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetBatchPredictionJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetBatchPredictionJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetBatchPredictionJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the BatchPredictionJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequest.java
new file mode 100644
index 000000000..2efa12dd8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequest.java
@@ -0,0 +1,664 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetCustomJobRequest}
+ */
+public final class GetCustomJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetCustomJobRequest)
+    GetCustomJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetCustomJobRequest.newBuilder() to construct.
+  private GetCustomJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetCustomJobRequest() {
+    name_ = "";
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+
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+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
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+
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+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetCustomJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+  /**
+   *
+   *
+   * <pre>
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+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
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+      name_ = s;
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+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
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+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
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+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetCustomJobRequest)) {
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+    return true;
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+
+  @java.lang.Override
+  public int hashCode() {
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+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
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+    return PARSER.parseFrom(data);
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+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.GetCustomJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetCustomJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetCustomJobRequest)
+      com.google.cloud.aiplatform.v1.GetCustomJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetCustomJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
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+    // Construct using com.google.cloud.aiplatform.v1.GetCustomJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
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+          .internal_static_google_cloud_aiplatform_v1_GetCustomJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetCustomJobRequest getDefaultInstanceForType() {
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+    }
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+    @java.lang.Override
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+    }
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+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetCustomJobRequest other) {
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
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+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the CustomJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
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+     * Required. The name of the CustomJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
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+     *
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+     * Format:
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+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
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+     * Format:
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+     * </pre>
+     *
+     * <code>
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+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetCustomJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetCustomJobRequest)
+  private static final com.google.cloud.aiplatform.v1.GetCustomJobRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetCustomJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetCustomJobRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetCustomJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetCustomJobRequest>() {
+        @java.lang.Override
+        public GetCustomJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetCustomJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetCustomJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetCustomJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetCustomJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequestOrBuilder.java
new file mode 100644
index 000000000..da51c6d36
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetCustomJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetCustomJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetCustomJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the CustomJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/customJobs/{custom_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequest.java
new file mode 100644
index 000000000..e75f5d75f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DataLabelingJobService.GetDataLabelingJob][].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetDataLabelingJobRequest}
+ */
+public final class GetDataLabelingJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetDataLabelingJobRequest)
+    GetDataLabelingJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetDataLabelingJobRequest.newBuilder() to construct.
+  private GetDataLabelingJobRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetDataLabelingJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
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+  }
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+
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+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetDataLabelingJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
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+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
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+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [DataLabelingJobService.GetDataLabelingJob][].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetDataLabelingJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetDataLabelingJobRequest)
+      com.google.cloud.aiplatform.v1.GetDataLabelingJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetDataLabelingJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
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+          .ensureFieldAccessorsInitialized(
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+              com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
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+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetDataLabelingJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest getDefaultInstanceForType() {
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+    }
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+    public com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest buildPartial() {
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+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
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+    public Builder clone() {
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+    }
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+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest other) {
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+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
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+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
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+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
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+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the DataLabelingJob.
+     * Format:
+     * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetDataLabelingJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetDataLabelingJobRequest)
+  private static final com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetDataLabelingJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetDataLabelingJobRequest>() {
+        @java.lang.Override
+        public GetDataLabelingJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetDataLabelingJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetDataLabelingJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetDataLabelingJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequestOrBuilder.java
new file mode 100644
index 000000000..c857ab888
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDataLabelingJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetDataLabelingJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetDataLabelingJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the DataLabelingJob.
+   * Format:
+   * `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequest.java
new file mode 100644
index 000000000..0f291ed2c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequest.java
@@ -0,0 +1,917 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetDatasetRequest}
+ */
+public final class GetDatasetRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetDatasetRequest)
+    GetDatasetRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetDatasetRequest.newBuilder() to construct.
+  private GetDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetDatasetRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetDatasetRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
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+  }
+
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+        .internal_static_google_cloud_aiplatform_v1_GetDatasetRequest_descriptor;
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+
+  @java.lang.Override
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+   *
+   * <pre>
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+   * </pre>
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+   * </code>
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+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * </pre>
+   *
+   * <code>
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+   * </code>
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+  }
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+
+  @java.lang.Override
+  public Builder newBuilderForType() {
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+
+  public static Builder newBuilder() {
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+   *
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+   * Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetDatasetRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetDatasetRequest)
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+
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+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GetDatasetRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GetDatasetRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetDatasetRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.GetDatasetRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasReadMask()) {
+        mergeReadMask(other.getReadMask());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetDatasetRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.GetDatasetRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
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+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
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+      return readMaskBuilder_ != null || readMask_ != null;
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+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
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+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
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+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
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+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
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+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetDatasetRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetDatasetRequest)
+  private static final com.google.cloud.aiplatform.v1.GetDatasetRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetDatasetRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetDatasetRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetDatasetRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetDatasetRequest>() {
+        @java.lang.Override
+        public GetDatasetRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetDatasetRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetDatasetRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetDatasetRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetDatasetRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequestOrBuilder.java
new file mode 100644
index 000000000..81e7de818
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetDatasetRequestOrBuilder.java
@@ -0,0 +1,89 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetDatasetRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetDatasetRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 2;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequest.java
new file mode 100644
index 000000000..5fee3293f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequest.java
@@ -0,0 +1,664 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetEndpointRequest}
+ */
+public final class GetEndpointRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetEndpointRequest)
+    GetEndpointRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetEndpointRequest.newBuilder() to construct.
+  private GetEndpointRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetEndpointRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetEndpointRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GetEndpointRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
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+    try {
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+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
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+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
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+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GetEndpointRequest.class,
+            com.google.cloud.aiplatform.v1.GetEndpointRequest.Builder.class);
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+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
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+    if (ref instanceof java.lang.String) {
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+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
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+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
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+    if (ref instanceof java.lang.String) {
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+    if (isInitialized == 1) return true;
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+    return size;
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+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetEndpointRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GetEndpointRequest other =
+        (com.google.cloud.aiplatform.v1.GetEndpointRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
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+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.GetEndpointRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetEndpointRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetEndpointRequest)
+      com.google.cloud.aiplatform.v1.GetEndpointRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GetEndpointRequest.class,
+              com.google.cloud.aiplatform.v1.GetEndpointRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GetEndpointRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetEndpointRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetEndpointRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GetEndpointRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetEndpointRequest build() {
+      com.google.cloud.aiplatform.v1.GetEndpointRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetEndpointRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.GetEndpointRequest result =
+          new com.google.cloud.aiplatform.v1.GetEndpointRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GetEndpointRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GetEndpointRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetEndpointRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.GetEndpointRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetEndpointRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.GetEndpointRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetEndpointRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetEndpointRequest)
+  private static final com.google.cloud.aiplatform.v1.GetEndpointRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetEndpointRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetEndpointRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetEndpointRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetEndpointRequest>() {
+        @java.lang.Override
+        public GetEndpointRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetEndpointRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetEndpointRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetEndpointRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetEndpointRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequestOrBuilder.java
new file mode 100644
index 000000000..7782b5a6e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetEndpointRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetEndpointRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetEndpointRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequest.java
new file mode 100644
index 000000000..9e7bae7d5
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequest.java
@@ -0,0 +1,673 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest}
+ */
+public final class GetHyperparameterTuningJobRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest)
+    GetHyperparameterTuningJobRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetHyperparameterTuningJobRequest.newBuilder() to construct.
+  private GetHyperparameterTuningJobRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetHyperparameterTuningJobRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetHyperparameterTuningJobRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GetHyperparameterTuningJobRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetHyperparameterTuningJobRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetHyperparameterTuningJobRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.class,
+            com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
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+    memoizedSize = size;
+    return size;
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+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest other =
+        (com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest)
+      com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetHyperparameterTuningJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetHyperparameterTuningJobRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.class,
+              com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetHyperparameterTuningJobRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest build() {
+      com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest result =
+          new com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the HyperparameterTuningJob resource.
+     * Format:
+     * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest)
+  private static final com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetHyperparameterTuningJobRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetHyperparameterTuningJobRequest>() {
+        @java.lang.Override
+        public GetHyperparameterTuningJobRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetHyperparameterTuningJobRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetHyperparameterTuningJobRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetHyperparameterTuningJobRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequestOrBuilder.java
new file mode 100644
index 000000000..559e0e227
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetHyperparameterTuningJobRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetHyperparameterTuningJobRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the HyperparameterTuningJob resource.
+   * Format:
+   * `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequest.java
new file mode 100644
index 000000000..3f2d80b53
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetModelEvaluationRequest}
+ */
+public final class GetModelEvaluationRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetModelEvaluationRequest)
+    GetModelEvaluationRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetModelEvaluationRequest.newBuilder() to construct.
+  private GetModelEvaluationRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetModelEvaluationRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetModelEvaluationRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GetModelEvaluationRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GetModelEvaluationRequest.class,
+            com.google.cloud.aiplatform.v1.GetModelEvaluationRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the ModelEvaluation resource.
+   * Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+   *
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+  public java.lang.String getName() {
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+   * </pre>
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+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetModelEvaluationRequest)) {
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+    com.google.cloud.aiplatform.v1.GetModelEvaluationRequest other =
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+      throws com.google.protobuf.InvalidProtocolBufferException {
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+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
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+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.GetModelEvaluationRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetModelEvaluationRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetModelEvaluationRequest)
+      com.google.cloud.aiplatform.v1.GetModelEvaluationRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
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+              com.google.cloud.aiplatform.v1.GetModelEvaluationRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GetModelEvaluationRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelEvaluationRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GetModelEvaluationRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelEvaluationRequest build() {
+      com.google.cloud.aiplatform.v1.GetModelEvaluationRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelEvaluationRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.GetModelEvaluationRequest result =
+          new com.google.cloud.aiplatform.v1.GetModelEvaluationRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetModelEvaluationRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.GetModelEvaluationRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetModelEvaluationRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.GetModelEvaluationRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluation resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluation resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluation resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluation resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluation resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetModelEvaluationRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetModelEvaluationRequest)
+  private static final com.google.cloud.aiplatform.v1.GetModelEvaluationRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetModelEvaluationRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetModelEvaluationRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetModelEvaluationRequest>() {
+        @java.lang.Override
+        public GetModelEvaluationRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetModelEvaluationRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetModelEvaluationRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetModelEvaluationRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetModelEvaluationRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequestOrBuilder.java
new file mode 100644
index 000000000..a72c3c84e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetModelEvaluationRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetModelEvaluationRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the ModelEvaluation resource.
+   * Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the ModelEvaluation resource.
+   * Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequest.java
new file mode 100644
index 000000000..7555dfc5d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequest.java
@@ -0,0 +1,670 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest}
+ */
+public final class GetModelEvaluationSliceRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest)
+    GetModelEvaluationSliceRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetModelEvaluationSliceRequest.newBuilder() to construct.
+  private GetModelEvaluationSliceRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetModelEvaluationSliceRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetModelEvaluationSliceRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GetModelEvaluationSliceRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
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+   * </pre>
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+   * <code>
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+   * Required. The name of the ModelEvaluationSlice resource.
+   * Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+   * </pre>
+   *
+   * <code>
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+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
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+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest)
+      com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelEvaluationSliceRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelEvaluationSliceRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest.class,
+              com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelEvaluationSliceRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest build() {
+      com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest result =
+          new com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
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+    @java.lang.Override
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+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluationSlice resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluationSlice resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluationSlice resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluationSlice resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the ModelEvaluationSlice resource.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest)
+  private static final com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetModelEvaluationSliceRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetModelEvaluationSliceRequest>() {
+        @java.lang.Override
+        public GetModelEvaluationSliceRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetModelEvaluationSliceRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetModelEvaluationSliceRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetModelEvaluationSliceRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequestOrBuilder.java
new file mode 100644
index 000000000..2e1659c2e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelEvaluationSliceRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetModelEvaluationSliceRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the ModelEvaluationSlice resource.
+   * Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the ModelEvaluationSlice resource.
+   * Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequest.java
new file mode 100644
index 000000000..95161aaaf
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequest.java
@@ -0,0 +1,655 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetModelRequest}
+ */
+public final class GetModelRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetModelRequest)
+    GetModelRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetModelRequest.newBuilder() to construct.
+  private GetModelRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetModelRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetModelRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    this();
+    if (extensionRegistry == null) {
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+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetModelRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetModelRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GetModelRequest.class,
+            com.google.cloud.aiplatform.v1.GetModelRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model resource.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
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+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model resource.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
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+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
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+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
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+    if (size != -1) return size;
+
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+    if (!getNameBytes().isEmpty()) {
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetModelRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GetModelRequest other =
+        (com.google.cloud.aiplatform.v1.GetModelRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
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+    memoizedHashCode = hash;
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+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.GetModelRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetModelRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetModelRequest)
+      com.google.cloud.aiplatform.v1.GetModelRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GetModelRequest.class,
+              com.google.cloud.aiplatform.v1.GetModelRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GetModelRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GetModelRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelRequest build() {
+      com.google.cloud.aiplatform.v1.GetModelRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetModelRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.GetModelRequest result =
+          new com.google.cloud.aiplatform.v1.GetModelRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
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+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
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+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GetModelRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GetModelRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetModelRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.GetModelRequest.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetModelRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.GetModelRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetModelRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetModelRequest)
+  private static final com.google.cloud.aiplatform.v1.GetModelRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetModelRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetModelRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetModelRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetModelRequest>() {
+        @java.lang.Override
+        public GetModelRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetModelRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetModelRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetModelRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetModelRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequestOrBuilder.java
new file mode 100644
index 000000000..8fd7a304a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetModelRequestOrBuilder.java
@@ -0,0 +1,56 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetModelRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetModelRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model resource.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Model resource.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequest.java
new file mode 100644
index 000000000..d513f8166
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetSpecialistPoolRequest}
+ */
+public final class GetSpecialistPoolRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetSpecialistPoolRequest)
+    GetSpecialistPoolRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetSpecialistPoolRequest.newBuilder() to construct.
+  private GetSpecialistPoolRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetSpecialistPoolRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetSpecialistPoolRequest();
+  }
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+  @java.lang.Override
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+    return this.unknownFields;
+  }
+
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+    this();
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+      makeExtensionsImmutable();
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+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
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+        .ensureFieldAccessorsInitialized(
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+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the SpecialistPool resource.
+   * The form is
+   * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
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+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the SpecialistPool resource.
+   * The form is
+   * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      name_ = b;
+      return b;
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+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
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+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
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+
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+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
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+  @java.lang.Override
+  public int getSerializedSize() {
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+    memoizedSize = size;
+    return size;
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+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest other =
+        (com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
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+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetSpecialistPoolRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetSpecialistPoolRequest)
+      com.google.cloud.aiplatform.v1.GetSpecialistPoolRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest.class,
+              com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest build() {
+      com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest result =
+          new com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool resource.
+     * The form is
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool resource.
+     * The form is
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool resource.
+     * The form is
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool resource.
+     * The form is
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool resource.
+     * The form is
+     * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.GetSpecialistPoolRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetSpecialistPoolRequest)
+  private static final com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetSpecialistPoolRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetSpecialistPoolRequest>() {
+        @java.lang.Override
+        public GetSpecialistPoolRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetSpecialistPoolRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetSpecialistPoolRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetSpecialistPoolRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequestOrBuilder.java
new file mode 100644
index 000000000..51f6a5358
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetSpecialistPoolRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetSpecialistPoolRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetSpecialistPoolRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the SpecialistPool resource.
+   * The form is
+   * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the SpecialistPool resource.
+   * The form is
+   * `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequest.java
new file mode 100644
index 000000000..ca1e7a979
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequest.java
@@ -0,0 +1,665 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.GetTrainingPipelineRequest}
+ */
+public final class GetTrainingPipelineRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.GetTrainingPipelineRequest)
+    GetTrainingPipelineRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use GetTrainingPipelineRequest.newBuilder() to construct.
+  private GetTrainingPipelineRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private GetTrainingPipelineRequest() {
+    name_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new GetTrainingPipelineRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private GetTrainingPipelineRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
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+        switch (tag) {
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+
+              name_ = s;
+              break;
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+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
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+              break;
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+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.class,
+            com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline resource.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline resource.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
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+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
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+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest other =
+        (com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.GetTrainingPipelineRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.GetTrainingPipelineRequest)
+      com.google.cloud.aiplatform.v1.GetTrainingPipelineRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.class,
+              com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest build() {
+      com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest result =
+          new com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest(this);
+      result.name_ = name_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+      if (other instanceof com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
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+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
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+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
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+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
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+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the TrainingPipeline resource.
+     * Format:
+     * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
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+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
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+      return super.mergeUnknownFields(unknownFields);
+    }
+
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+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.GetTrainingPipelineRequest)
+  private static final com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<GetTrainingPipelineRequest> PARSER =
+      new com.google.protobuf.AbstractParser<GetTrainingPipelineRequest>() {
+        @java.lang.Override
+        public GetTrainingPipelineRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new GetTrainingPipelineRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<GetTrainingPipelineRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<GetTrainingPipelineRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequestOrBuilder.java
new file mode 100644
index 000000000..7049e0012
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/GetTrainingPipelineRequestOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface GetTrainingPipelineRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.GetTrainingPipelineRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline resource.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the TrainingPipeline resource.
+   * Format:
+   * `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJob.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJob.java
new file mode 100644
index 000000000..2e6760ef4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJob.java
@@ -0,0 +1,4550 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents a HyperparameterTuningJob. A HyperparameterTuningJob
+ * has a Study specification and multiple CustomJobs with identical
+ * CustomJob specification.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.HyperparameterTuningJob}
+ */
+public final class HyperparameterTuningJob extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.HyperparameterTuningJob)
+    HyperparameterTuningJobOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use HyperparameterTuningJob.newBuilder() to construct.
+  private HyperparameterTuningJob(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private HyperparameterTuningJob() {
+    name_ = "";
+    displayName_ = "";
+    trials_ = java.util.Collections.emptyList();
+    state_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new HyperparameterTuningJob();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private HyperparameterTuningJob(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.aiplatform.v1.StudySpec.Builder subBuilder = null;
+              if (studySpec_ != null) {
+                subBuilder = studySpec_.toBuilder();
+              }
+              studySpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.StudySpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(studySpec_);
+                studySpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 40:
+            {
+              maxTrialCount_ = input.readInt32();
+              break;
+            }
+          case 48:
+            {
+              parallelTrialCount_ = input.readInt32();
+              break;
+            }
+          case 56:
+            {
+              maxFailedTrialCount_ = input.readInt32();
+              break;
+            }
+          case 66:
+            {
+              com.google.cloud.aiplatform.v1.CustomJobSpec.Builder subBuilder = null;
+              if (trialJobSpec_ != null) {
+                subBuilder = trialJobSpec_.toBuilder();
+              }
+              trialJobSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.CustomJobSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(trialJobSpec_);
+                trialJobSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 74:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                trials_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Trial>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              trials_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Trial.parser(), extensionRegistry));
+              break;
+            }
+          case 80:
+            {
+              int rawValue = input.readEnum();
+
+              state_ = rawValue;
+              break;
+            }
+          case 90:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 98:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (startTime_ != null) {
+                subBuilder = startTime_.toBuilder();
+              }
+              startTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(startTime_);
+                startTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 106:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (endTime_ != null) {
+                subBuilder = endTime_.toBuilder();
+              }
+              endTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(endTime_);
+                endTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 114:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 122:
+            {
+              com.google.rpc.Status.Builder subBuilder = null;
+              if (error_ != null) {
+                subBuilder = error_.toBuilder();
+              }
+              error_ = input.readMessage(com.google.rpc.Status.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(error_);
+                error_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 130:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000002;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 138:
+            {
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EncryptionSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        trials_ = java.util.Collections.unmodifiableList(trials_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.HyperparameterTuningJobProto
+        .internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 16:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.HyperparameterTuningJobProto
+        .internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob.class,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the HyperparameterTuningJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the HyperparameterTuningJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int STUDY_SPEC_FIELD_NUMBER = 4;
+  private com.google.cloud.aiplatform.v1.StudySpec studySpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Study configuration of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the studySpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasStudySpec() {
+    return studySpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Study configuration of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The studySpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec getStudySpec() {
+    return studySpec_ == null
+        ? com.google.cloud.aiplatform.v1.StudySpec.getDefaultInstance()
+        : studySpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Study configuration of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpecOrBuilder getStudySpecOrBuilder() {
+    return getStudySpec();
+  }
+
+  public static final int MAX_TRIAL_COUNT_FIELD_NUMBER = 5;
+  private int maxTrialCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired total number of Trials.
+   * </pre>
+   *
+   * <code>int32 max_trial_count = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The maxTrialCount.
+   */
+  @java.lang.Override
+  public int getMaxTrialCount() {
+    return maxTrialCount_;
+  }
+
+  public static final int PARALLEL_TRIAL_COUNT_FIELD_NUMBER = 6;
+  private int parallelTrialCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired number of Trials to run in parallel.
+   * </pre>
+   *
+   * <code>int32 parallel_trial_count = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The parallelTrialCount.
+   */
+  @java.lang.Override
+  public int getParallelTrialCount() {
+    return parallelTrialCount_;
+  }
+
+  public static final int MAX_FAILED_TRIAL_COUNT_FIELD_NUMBER = 7;
+  private int maxFailedTrialCount_;
+  /**
+   *
+   *
+   * <pre>
+   * The number of failed Trials that need to be seen before failing
+   * the HyperparameterTuningJob.
+   * If set to 0, AI Platform decides how many Trials must fail
+   * before the whole job fails.
+   * </pre>
+   *
+   * <code>int32 max_failed_trial_count = 7;</code>
+   *
+   * @return The maxFailedTrialCount.
+   */
+  @java.lang.Override
+  public int getMaxFailedTrialCount() {
+    return maxFailedTrialCount_;
+  }
+
+  public static final int TRIAL_JOB_SPEC_FIELD_NUMBER = 8;
+  private com.google.cloud.aiplatform.v1.CustomJobSpec trialJobSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+   * in all the trials.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the trialJobSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasTrialJobSpec() {
+    return trialJobSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+   * in all the trials.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The trialJobSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJobSpec getTrialJobSpec() {
+    return trialJobSpec_ == null
+        ? com.google.cloud.aiplatform.v1.CustomJobSpec.getDefaultInstance()
+        : trialJobSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+   * in all the trials.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder getTrialJobSpecOrBuilder() {
+    return getTrialJobSpec();
+  }
+
+  public static final int TRIALS_FIELD_NUMBER = 9;
+  private java.util.List<com.google.cloud.aiplatform.v1.Trial> trials_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Trial> getTrialsList() {
+    return trials_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.TrialOrBuilder>
+      getTrialsOrBuilderList() {
+    return trials_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getTrialsCount() {
+    return trials_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Trial getTrials(int index) {
+    return trials_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrialOrBuilder getTrialsOrBuilder(int index) {
+    return trials_.get(index);
+  }
+
+  public static final int STATE_FIELD_NUMBER = 10;
+  private int state_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  @java.lang.Override
+  public int getStateValue() {
+    return state_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.JobState getState() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.JobState result =
+        com.google.cloud.aiplatform.v1.JobState.valueOf(state_);
+    return result == null ? com.google.cloud.aiplatform.v1.JobState.UNRECOGNIZED : result;
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 11;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int START_TIME_FIELD_NUMBER = 12;
+  private com.google.protobuf.Timestamp startTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasStartTime() {
+    return startTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getStartTime() {
+    return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+    return getStartTime();
+  }
+
+  public static final int END_TIME_FIELD_NUMBER = 13;
+  private com.google.protobuf.Timestamp endTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasEndTime() {
+    return endTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getEndTime() {
+    return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+    return getEndTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 14;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int ERROR_FIELD_NUMBER = 15;
+  private com.google.rpc.Status error_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  @java.lang.Override
+  public boolean hasError() {
+    return error_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  @java.lang.Override
+  public com.google.rpc.Status getError() {
+    return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  @java.lang.Override
+  public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+    return getError();
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 16;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJobProto
+                .internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 17;
+  private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (studySpec_ != null) {
+      output.writeMessage(4, getStudySpec());
+    }
+    if (maxTrialCount_ != 0) {
+      output.writeInt32(5, maxTrialCount_);
+    }
+    if (parallelTrialCount_ != 0) {
+      output.writeInt32(6, parallelTrialCount_);
+    }
+    if (maxFailedTrialCount_ != 0) {
+      output.writeInt32(7, maxFailedTrialCount_);
+    }
+    if (trialJobSpec_ != null) {
+      output.writeMessage(8, getTrialJobSpec());
+    }
+    for (int i = 0; i < trials_.size(); i++) {
+      output.writeMessage(9, trials_.get(i));
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.JobState.JOB_STATE_UNSPECIFIED.getNumber()) {
+      output.writeEnum(10, state_);
+    }
+    if (createTime_ != null) {
+      output.writeMessage(11, getCreateTime());
+    }
+    if (startTime_ != null) {
+      output.writeMessage(12, getStartTime());
+    }
+    if (endTime_ != null) {
+      output.writeMessage(13, getEndTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(14, getUpdateTime());
+    }
+    if (error_ != null) {
+      output.writeMessage(15, getError());
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 16);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(17, getEncryptionSpec());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (studySpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getStudySpec());
+    }
+    if (maxTrialCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(5, maxTrialCount_);
+    }
+    if (parallelTrialCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(6, parallelTrialCount_);
+    }
+    if (maxFailedTrialCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(7, maxFailedTrialCount_);
+    }
+    if (trialJobSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getTrialJobSpec());
+    }
+    for (int i = 0; i < trials_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, trials_.get(i));
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.JobState.JOB_STATE_UNSPECIFIED.getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(10, state_);
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getCreateTime());
+    }
+    if (startTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(12, getStartTime());
+    }
+    if (endTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(13, getEndTime());
+    }
+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(14, getUpdateTime());
+    }
+    if (error_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(15, getError());
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.String> entry :
+        internalGetLabels().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+          LabelsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(16, labels__);
+    }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(17, getEncryptionSpec());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.HyperparameterTuningJob)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.HyperparameterTuningJob other =
+        (com.google.cloud.aiplatform.v1.HyperparameterTuningJob) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (hasStudySpec() != other.hasStudySpec()) return false;
+    if (hasStudySpec()) {
+      if (!getStudySpec().equals(other.getStudySpec())) return false;
+    }
+    if (getMaxTrialCount() != other.getMaxTrialCount()) return false;
+    if (getParallelTrialCount() != other.getParallelTrialCount()) return false;
+    if (getMaxFailedTrialCount() != other.getMaxFailedTrialCount()) return false;
+    if (hasTrialJobSpec() != other.hasTrialJobSpec()) return false;
+    if (hasTrialJobSpec()) {
+      if (!getTrialJobSpec().equals(other.getTrialJobSpec())) return false;
+    }
+    if (!getTrialsList().equals(other.getTrialsList())) return false;
+    if (state_ != other.state_) return false;
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (hasStartTime() != other.hasStartTime()) return false;
+    if (hasStartTime()) {
+      if (!getStartTime().equals(other.getStartTime())) return false;
+    }
+    if (hasEndTime() != other.hasEndTime()) return false;
+    if (hasEndTime()) {
+      if (!getEndTime().equals(other.getEndTime())) return false;
+    }
+    if (hasUpdateTime() != other.hasUpdateTime()) return false;
+    if (hasUpdateTime()) {
+      if (!getUpdateTime().equals(other.getUpdateTime())) return false;
+    }
+    if (hasError() != other.hasError()) return false;
+    if (hasError()) {
+      if (!getError().equals(other.getError())) return false;
+    }
+    if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+      throws java.io.IOException {
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+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+
+  public static com.google.cloud.aiplatform.v1.HyperparameterTuningJob parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.HyperparameterTuningJob parseFrom(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
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+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
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+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.HyperparameterTuningJob prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
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+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a HyperparameterTuningJob. A HyperparameterTuningJob
+   * has a Study specification and multiple CustomJobs with identical
+   * CustomJob specification.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.HyperparameterTuningJob}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.HyperparameterTuningJob)
+      com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder {
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+      return com.google.cloud.aiplatform.v1.HyperparameterTuningJobProto
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+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.HyperparameterTuningJob.class,
+              com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.HyperparameterTuningJob.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
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+        getTrialsFieldBuilder();
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+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      displayName_ = "";
+
+      if (studySpecBuilder_ == null) {
+        studySpec_ = null;
+      } else {
+        studySpec_ = null;
+        studySpecBuilder_ = null;
+      }
+      maxTrialCount_ = 0;
+
+      parallelTrialCount_ = 0;
+
+      maxFailedTrialCount_ = 0;
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+        createTimeBuilder_ = null;
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+        startTimeBuilder_ = null;
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+        endTimeBuilder_ = null;
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+        updateTimeBuilder_ = null;
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+        errorBuilder_ = null;
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+      internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
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+        encryptionSpecBuilder_ = null;
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+      return this;
+    }
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+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.HyperparameterTuningJobProto
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+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getDefaultInstanceForType() {
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+    }
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+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob build() {
+      com.google.cloud.aiplatform.v1.HyperparameterTuningJob result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob buildPartial() {
+      com.google.cloud.aiplatform.v1.HyperparameterTuningJob result =
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+      int from_bitField0_ = bitField0_;
+      result.name_ = name_;
+      result.displayName_ = displayName_;
+      if (studySpecBuilder_ == null) {
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+      } else {
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+      }
+      result.maxTrialCount_ = maxTrialCount_;
+      result.parallelTrialCount_ = parallelTrialCount_;
+      result.maxFailedTrialCount_ = maxFailedTrialCount_;
+      if (trialJobSpecBuilder_ == null) {
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+      } else {
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+      }
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+      if (endTimeBuilder_ == null) {
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+      } else {
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+      }
+      if (updateTimeBuilder_ == null) {
+        result.updateTime_ = updateTime_;
+      } else {
+        result.updateTime_ = updateTimeBuilder_.build();
+      }
+      if (errorBuilder_ == null) {
+        result.error_ = error_;
+      } else {
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+      }
+      result.labels_ = internalGetLabels();
+      result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
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+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
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+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.HyperparameterTuningJob) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.HyperparameterTuningJob) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.HyperparameterTuningJob other) {
+      if (other == com.google.cloud.aiplatform.v1.HyperparameterTuningJob.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (!other.getDisplayName().isEmpty()) {
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+        onChanged();
+      }
+      if (other.hasStudySpec()) {
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+      }
+      if (other.getMaxTrialCount() != 0) {
+        setMaxTrialCount(other.getMaxTrialCount());
+      }
+      if (other.getParallelTrialCount() != 0) {
+        setParallelTrialCount(other.getParallelTrialCount());
+      }
+      if (other.getMaxFailedTrialCount() != 0) {
+        setMaxFailedTrialCount(other.getMaxFailedTrialCount());
+      }
+      if (other.hasTrialJobSpec()) {
+        mergeTrialJobSpec(other.getTrialJobSpec());
+      }
+      if (trialsBuilder_ == null) {
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+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureTrialsIsMutable();
+            trials_.addAll(other.trials_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.trials_.isEmpty()) {
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+            trials_ = other.trials_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            trialsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getTrialsFieldBuilder()
+                    : null;
+          } else {
+            trialsBuilder_.addAllMessages(other.trials_);
+          }
+        }
+      }
+      if (other.state_ != 0) {
+        setStateValue(other.getStateValue());
+      }
+      if (other.hasCreateTime()) {
+        mergeCreateTime(other.getCreateTime());
+      }
+      if (other.hasStartTime()) {
+        mergeStartTime(other.getStartTime());
+      }
+      if (other.hasEndTime()) {
+        mergeEndTime(other.getEndTime());
+      }
+      if (other.hasUpdateTime()) {
+        mergeUpdateTime(other.getUpdateTime());
+      }
+      if (other.hasError()) {
+        mergeError(other.getError());
+      }
+      internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.HyperparameterTuningJob parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.HyperparameterTuningJob) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the HyperparameterTuningJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the HyperparameterTuningJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the HyperparameterTuningJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the HyperparameterTuningJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the HyperparameterTuningJob.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.StudySpec studySpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.StudySpec,
+            com.google.cloud.aiplatform.v1.StudySpec.Builder,
+            com.google.cloud.aiplatform.v1.StudySpecOrBuilder>
+        studySpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the studySpec field is set.
+     */
+    public boolean hasStudySpec() {
+      return studySpecBuilder_ != null || studySpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The studySpec.
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec getStudySpec() {
+      if (studySpecBuilder_ == null) {
+        return studySpec_ == null
+            ? com.google.cloud.aiplatform.v1.StudySpec.getDefaultInstance()
+            : studySpec_;
+      } else {
+        return studySpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setStudySpec(com.google.cloud.aiplatform.v1.StudySpec value) {
+      if (studySpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        studySpec_ = value;
+        onChanged();
+      } else {
+        studySpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setStudySpec(com.google.cloud.aiplatform.v1.StudySpec.Builder builderForValue) {
+      if (studySpecBuilder_ == null) {
+        studySpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        studySpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeStudySpec(com.google.cloud.aiplatform.v1.StudySpec value) {
+      if (studySpecBuilder_ == null) {
+        if (studySpec_ != null) {
+          studySpec_ =
+              com.google.cloud.aiplatform.v1.StudySpec.newBuilder(studySpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          studySpec_ = value;
+        }
+        onChanged();
+      } else {
+        studySpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearStudySpec() {
+      if (studySpecBuilder_ == null) {
+        studySpec_ = null;
+        onChanged();
+      } else {
+        studySpec_ = null;
+        studySpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.Builder getStudySpecBuilder() {
+
+      onChanged();
+      return getStudySpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpecOrBuilder getStudySpecOrBuilder() {
+      if (studySpecBuilder_ != null) {
+        return studySpecBuilder_.getMessageOrBuilder();
+      } else {
+        return studySpec_ == null
+            ? com.google.cloud.aiplatform.v1.StudySpec.getDefaultInstance()
+            : studySpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Study configuration of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.StudySpec,
+            com.google.cloud.aiplatform.v1.StudySpec.Builder,
+            com.google.cloud.aiplatform.v1.StudySpecOrBuilder>
+        getStudySpecFieldBuilder() {
+      if (studySpecBuilder_ == null) {
+        studySpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec,
+                com.google.cloud.aiplatform.v1.StudySpec.Builder,
+                com.google.cloud.aiplatform.v1.StudySpecOrBuilder>(
+                getStudySpec(), getParentForChildren(), isClean());
+        studySpec_ = null;
+      }
+      return studySpecBuilder_;
+    }
+
+    private int maxTrialCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired total number of Trials.
+     * </pre>
+     *
+     * <code>int32 max_trial_count = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The maxTrialCount.
+     */
+    @java.lang.Override
+    public int getMaxTrialCount() {
+      return maxTrialCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired total number of Trials.
+     * </pre>
+     *
+     * <code>int32 max_trial_count = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The maxTrialCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxTrialCount(int value) {
+
+      maxTrialCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired total number of Trials.
+     * </pre>
+     *
+     * <code>int32 max_trial_count = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxTrialCount() {
+
+      maxTrialCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int parallelTrialCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired number of Trials to run in parallel.
+     * </pre>
+     *
+     * <code>int32 parallel_trial_count = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The parallelTrialCount.
+     */
+    @java.lang.Override
+    public int getParallelTrialCount() {
+      return parallelTrialCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired number of Trials to run in parallel.
+     * </pre>
+     *
+     * <code>int32 parallel_trial_count = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The parallelTrialCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParallelTrialCount(int value) {
+
+      parallelTrialCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired number of Trials to run in parallel.
+     * </pre>
+     *
+     * <code>int32 parallel_trial_count = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParallelTrialCount() {
+
+      parallelTrialCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int maxFailedTrialCount_;
+    /**
+     *
+     *
+     * <pre>
+     * The number of failed Trials that need to be seen before failing
+     * the HyperparameterTuningJob.
+     * If set to 0, AI Platform decides how many Trials must fail
+     * before the whole job fails.
+     * </pre>
+     *
+     * <code>int32 max_failed_trial_count = 7;</code>
+     *
+     * @return The maxFailedTrialCount.
+     */
+    @java.lang.Override
+    public int getMaxFailedTrialCount() {
+      return maxFailedTrialCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The number of failed Trials that need to be seen before failing
+     * the HyperparameterTuningJob.
+     * If set to 0, AI Platform decides how many Trials must fail
+     * before the whole job fails.
+     * </pre>
+     *
+     * <code>int32 max_failed_trial_count = 7;</code>
+     *
+     * @param value The maxFailedTrialCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxFailedTrialCount(int value) {
+
+      maxFailedTrialCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The number of failed Trials that need to be seen before failing
+     * the HyperparameterTuningJob.
+     * If set to 0, AI Platform decides how many Trials must fail
+     * before the whole job fails.
+     * </pre>
+     *
+     * <code>int32 max_failed_trial_count = 7;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxFailedTrialCount() {
+
+      maxFailedTrialCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.CustomJobSpec trialJobSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CustomJobSpec,
+            com.google.cloud.aiplatform.v1.CustomJobSpec.Builder,
+            com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder>
+        trialJobSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the trialJobSpec field is set.
+     */
+    public boolean hasTrialJobSpec() {
+      return trialJobSpecBuilder_ != null || trialJobSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The trialJobSpec.
+     */
+    public com.google.cloud.aiplatform.v1.CustomJobSpec getTrialJobSpec() {
+      if (trialJobSpecBuilder_ == null) {
+        return trialJobSpec_ == null
+            ? com.google.cloud.aiplatform.v1.CustomJobSpec.getDefaultInstance()
+            : trialJobSpec_;
+      } else {
+        return trialJobSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setTrialJobSpec(com.google.cloud.aiplatform.v1.CustomJobSpec value) {
+      if (trialJobSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        trialJobSpec_ = value;
+        onChanged();
+      } else {
+        trialJobSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setTrialJobSpec(
+        com.google.cloud.aiplatform.v1.CustomJobSpec.Builder builderForValue) {
+      if (trialJobSpecBuilder_ == null) {
+        trialJobSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        trialJobSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeTrialJobSpec(com.google.cloud.aiplatform.v1.CustomJobSpec value) {
+      if (trialJobSpecBuilder_ == null) {
+        if (trialJobSpec_ != null) {
+          trialJobSpec_ =
+              com.google.cloud.aiplatform.v1.CustomJobSpec.newBuilder(trialJobSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          trialJobSpec_ = value;
+        }
+        onChanged();
+      } else {
+        trialJobSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearTrialJobSpec() {
+      if (trialJobSpecBuilder_ == null) {
+        trialJobSpec_ = null;
+        onChanged();
+      } else {
+        trialJobSpec_ = null;
+        trialJobSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJobSpec.Builder getTrialJobSpecBuilder() {
+
+      onChanged();
+      return getTrialJobSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder getTrialJobSpecOrBuilder() {
+      if (trialJobSpecBuilder_ != null) {
+        return trialJobSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return trialJobSpec_ == null
+            ? com.google.cloud.aiplatform.v1.CustomJobSpec.getDefaultInstance()
+            : trialJobSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+     * in all the trials.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CustomJobSpec,
+            com.google.cloud.aiplatform.v1.CustomJobSpec.Builder,
+            com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder>
+        getTrialJobSpecFieldBuilder() {
+      if (trialJobSpecBuilder_ == null) {
+        trialJobSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.CustomJobSpec,
+                com.google.cloud.aiplatform.v1.CustomJobSpec.Builder,
+                com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder>(
+                getTrialJobSpec(), getParentForChildren(), isClean());
+        trialJobSpec_ = null;
+      }
+      return trialJobSpecBuilder_;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.Trial> trials_ =
+        java.util.Collections.emptyList();
+
+    private void ensureTrialsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        trials_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Trial>(trials_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Trial,
+            com.google.cloud.aiplatform.v1.Trial.Builder,
+            com.google.cloud.aiplatform.v1.TrialOrBuilder>
+        trialsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Trial> getTrialsList() {
+      if (trialsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(trials_);
+      } else {
+        return trialsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getTrialsCount() {
+      if (trialsBuilder_ == null) {
+        return trials_.size();
+      } else {
+        return trialsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial getTrials(int index) {
+      if (trialsBuilder_ == null) {
+        return trials_.get(index);
+      } else {
+        return trialsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setTrials(int index, com.google.cloud.aiplatform.v1.Trial value) {
+      if (trialsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTrialsIsMutable();
+        trials_.set(index, value);
+        onChanged();
+      } else {
+        trialsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setTrials(
+        int index, com.google.cloud.aiplatform.v1.Trial.Builder builderForValue) {
+      if (trialsBuilder_ == null) {
+        ensureTrialsIsMutable();
+        trials_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        trialsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addTrials(com.google.cloud.aiplatform.v1.Trial value) {
+      if (trialsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTrialsIsMutable();
+        trials_.add(value);
+        onChanged();
+      } else {
+        trialsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addTrials(int index, com.google.cloud.aiplatform.v1.Trial value) {
+      if (trialsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTrialsIsMutable();
+        trials_.add(index, value);
+        onChanged();
+      } else {
+        trialsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addTrials(com.google.cloud.aiplatform.v1.Trial.Builder builderForValue) {
+      if (trialsBuilder_ == null) {
+        ensureTrialsIsMutable();
+        trials_.add(builderForValue.build());
+        onChanged();
+      } else {
+        trialsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addTrials(
+        int index, com.google.cloud.aiplatform.v1.Trial.Builder builderForValue) {
+      if (trialsBuilder_ == null) {
+        ensureTrialsIsMutable();
+        trials_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        trialsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllTrials(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Trial> values) {
+      if (trialsBuilder_ == null) {
+        ensureTrialsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, trials_);
+        onChanged();
+      } else {
+        trialsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearTrials() {
+      if (trialsBuilder_ == null) {
+        trials_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        trialsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removeTrials(int index) {
+      if (trialsBuilder_ == null) {
+        ensureTrialsIsMutable();
+        trials_.remove(index);
+        onChanged();
+      } else {
+        trialsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial.Builder getTrialsBuilder(int index) {
+      return getTrialsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.TrialOrBuilder getTrialsOrBuilder(int index) {
+      if (trialsBuilder_ == null) {
+        return trials_.get(index);
+      } else {
+        return trialsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.TrialOrBuilder>
+        getTrialsOrBuilderList() {
+      if (trialsBuilder_ != null) {
+        return trialsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(trials_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial.Builder addTrialsBuilder() {
+      return getTrialsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Trial.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial.Builder addTrialsBuilder(int index) {
+      return getTrialsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.Trial.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Trials of the HyperparameterTuningJob.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Trial.Builder> getTrialsBuilderList() {
+      return getTrialsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Trial,
+            com.google.cloud.aiplatform.v1.Trial.Builder,
+            com.google.cloud.aiplatform.v1.TrialOrBuilder>
+        getTrialsFieldBuilder() {
+      if (trialsBuilder_ == null) {
+        trialsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Trial,
+                com.google.cloud.aiplatform.v1.Trial.Builder,
+                com.google.cloud.aiplatform.v1.TrialOrBuilder>(
+                trials_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        trials_ = null;
+      }
+      return trialsBuilder_;
+    }
+
+    private int state_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for state.
+     */
+    @java.lang.Override
+    public int getStateValue() {
+      return state_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setStateValue(int value) {
+
+      state_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The state.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.JobState getState() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.JobState result =
+          com.google.cloud.aiplatform.v1.JobState.valueOf(state_);
+      return result == null ? com.google.cloud.aiplatform.v1.JobState.UNRECOGNIZED : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setState(com.google.cloud.aiplatform.v1.JobState value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      state_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the job.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearState() {
+
+      state_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp startTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        startTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the startTime field is set.
+     */
+    public boolean hasStartTime() {
+      return startTimeBuilder_ != null || startTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The startTime.
+     */
+    public com.google.protobuf.Timestamp getStartTime() {
+      if (startTimeBuilder_ == null) {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      } else {
+        return startTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        startTime_ = value;
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (startTimeBuilder_ == null) {
+        startTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (startTime_ != null) {
+          startTime_ =
+              com.google.protobuf.Timestamp.newBuilder(startTime_).mergeFrom(value).buildPartial();
+        } else {
+          startTime_ = value;
+        }
+        onChanged();
+      } else {
+        startTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearStartTime() {
+      if (startTimeBuilder_ == null) {
+        startTime_ = null;
+        onChanged();
+      } else {
+        startTime_ = null;
+        startTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
+
+      onChanged();
+      return getStartTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+      if (startTimeBuilder_ != null) {
+        return startTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob for the first time entered the
+     * `JOB_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getStartTimeFieldBuilder() {
+      if (startTimeBuilder_ == null) {
+        startTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getStartTime(), getParentForChildren(), isClean());
+        startTime_ = null;
+      }
+      return startTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp endTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        endTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the endTime field is set.
+     */
+    public boolean hasEndTime() {
+      return endTimeBuilder_ != null || endTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The endTime.
+     */
+    public com.google.protobuf.Timestamp getEndTime() {
+      if (endTimeBuilder_ == null) {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      } else {
+        return endTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        endTime_ = value;
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (endTimeBuilder_ == null) {
+        endTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (endTime_ != null) {
+          endTime_ =
+              com.google.protobuf.Timestamp.newBuilder(endTime_).mergeFrom(value).buildPartial();
+        } else {
+          endTime_ = value;
+        }
+        onChanged();
+      } else {
+        endTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearEndTime() {
+      if (endTimeBuilder_ == null) {
+        endTime_ = null;
+        onChanged();
+      } else {
+        endTime_ = null;
+        endTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
+
+      onChanged();
+      return getEndTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+      if (endTimeBuilder_ != null) {
+        return endTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+     * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getEndTimeFieldBuilder() {
+      if (endTimeBuilder_ == null) {
+        endTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getEndTime(), getParentForChildren(), isClean());
+        endTime_ = null;
+      }
+      return endTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the HyperparameterTuningJob was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private com.google.rpc.Status error_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        errorBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return Whether the error field is set.
+     */
+    public boolean hasError() {
+      return errorBuilder_ != null || error_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The error.
+     */
+    public com.google.rpc.Status getError() {
+      if (errorBuilder_ == null) {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      } else {
+        return errorBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        error_ = value;
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status.Builder builderForValue) {
+      if (errorBuilder_ == null) {
+        error_ = builderForValue.build();
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder mergeError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (error_ != null) {
+          error_ = com.google.rpc.Status.newBuilder(error_).mergeFrom(value).buildPartial();
+        } else {
+          error_ = value;
+        }
+        onChanged();
+      } else {
+        errorBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder clearError() {
+      if (errorBuilder_ == null) {
+        error_ = null;
+        onChanged();
+      } else {
+        error_ = null;
+        errorBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.Status.Builder getErrorBuilder() {
+
+      onChanged();
+      return getErrorFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+      if (errorBuilder_ != null) {
+        return errorBuilder_.getMessageOrBuilder();
+      } else {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when job's state is JOB_STATE_FAILED or
+     * JOB_STATE_CANCELLED.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        getErrorFieldBuilder() {
+      if (errorBuilder_ == null) {
+        errorBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.rpc.Status,
+                com.google.rpc.Status.Builder,
+                com.google.rpc.StatusOrBuilder>(getError(), getParentForChildren(), isClean());
+        error_ = null;
+      }
+      return errorBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 16;</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 16;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 16;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 16;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 16;</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 16;</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 16;</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.HyperparameterTuningJob)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.HyperparameterTuningJob)
+  private static final com.google.cloud.aiplatform.v1.HyperparameterTuningJob DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.HyperparameterTuningJob();
+  }
+
+  public static com.google.cloud.aiplatform.v1.HyperparameterTuningJob getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<HyperparameterTuningJob> PARSER =
+      new com.google.protobuf.AbstractParser<HyperparameterTuningJob>() {
+        @java.lang.Override
+        public HyperparameterTuningJob parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new HyperparameterTuningJob(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<HyperparameterTuningJob> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<HyperparameterTuningJob> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobName.java
new file mode 100644
index 000000000..a3e0f7659
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobName.java
@@ -0,0 +1,240 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class HyperparameterTuningJobName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_HYPERPARAMETER_TUNING_JOB =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String hyperparameterTuningJob;
+
+  @Deprecated
+  protected HyperparameterTuningJobName() {
+    project = null;
+    location = null;
+    hyperparameterTuningJob = null;
+  }
+
+  private HyperparameterTuningJobName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    hyperparameterTuningJob = Preconditions.checkNotNull(builder.getHyperparameterTuningJob());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getHyperparameterTuningJob() {
+    return hyperparameterTuningJob;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static HyperparameterTuningJobName of(
+      String project, String location, String hyperparameterTuningJob) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setHyperparameterTuningJob(hyperparameterTuningJob)
+        .build();
+  }
+
+  public static String format(String project, String location, String hyperparameterTuningJob) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setHyperparameterTuningJob(hyperparameterTuningJob)
+        .build()
+        .toString();
+  }
+
+  public static HyperparameterTuningJobName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_HYPERPARAMETER_TUNING_JOB.validatedMatch(
+            formattedString,
+            "HyperparameterTuningJobName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("hyperparameter_tuning_job"));
+  }
+
+  public static List<HyperparameterTuningJobName> parseList(List<String> formattedStrings) {
+    List<HyperparameterTuningJobName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<HyperparameterTuningJobName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (HyperparameterTuningJobName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_HYPERPARAMETER_TUNING_JOB.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (hyperparameterTuningJob != null) {
+            fieldMapBuilder.put("hyperparameter_tuning_job", hyperparameterTuningJob);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_HYPERPARAMETER_TUNING_JOB.instantiate(
+        "project",
+        project,
+        "location",
+        location,
+        "hyperparameter_tuning_job",
+        hyperparameterTuningJob);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      HyperparameterTuningJobName that = ((HyperparameterTuningJobName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.hyperparameterTuningJob, that.hyperparameterTuningJob);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(hyperparameterTuningJob);
+    return h;
+  }
+
+  /**
+   * Builder for
+   * projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}.
+   */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String hyperparameterTuningJob;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getHyperparameterTuningJob() {
+      return hyperparameterTuningJob;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setHyperparameterTuningJob(String hyperparameterTuningJob) {
+      this.hyperparameterTuningJob = hyperparameterTuningJob;
+      return this;
+    }
+
+    private Builder(HyperparameterTuningJobName hyperparameterTuningJobName) {
+      project = hyperparameterTuningJobName.project;
+      location = hyperparameterTuningJobName.location;
+      hyperparameterTuningJob = hyperparameterTuningJobName.hyperparameterTuningJob;
+    }
+
+    public HyperparameterTuningJobName build() {
+      return new HyperparameterTuningJobName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobOrBuilder.java
new file mode 100644
index 000000000..bd88b07cc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobOrBuilder.java
@@ -0,0 +1,607 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface HyperparameterTuningJobOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.HyperparameterTuningJob)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the HyperparameterTuningJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the HyperparameterTuningJob.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Study configuration of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the studySpec field is set.
+   */
+  boolean hasStudySpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Study configuration of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The studySpec.
+   */
+  com.google.cloud.aiplatform.v1.StudySpec getStudySpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Study configuration of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec study_spec = 4 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.StudySpecOrBuilder getStudySpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired total number of Trials.
+   * </pre>
+   *
+   * <code>int32 max_trial_count = 5 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The maxTrialCount.
+   */
+  int getMaxTrialCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired number of Trials to run in parallel.
+   * </pre>
+   *
+   * <code>int32 parallel_trial_count = 6 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The parallelTrialCount.
+   */
+  int getParallelTrialCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * The number of failed Trials that need to be seen before failing
+   * the HyperparameterTuningJob.
+   * If set to 0, AI Platform decides how many Trials must fail
+   * before the whole job fails.
+   * </pre>
+   *
+   * <code>int32 max_failed_trial_count = 7;</code>
+   *
+   * @return The maxFailedTrialCount.
+   */
+  int getMaxFailedTrialCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+   * in all the trials.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the trialJobSpec field is set.
+   */
+  boolean hasTrialJobSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+   * in all the trials.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The trialJobSpec.
+   */
+  com.google.cloud.aiplatform.v1.CustomJobSpec getTrialJobSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The spec of a trial job. The same spec applies to the CustomJobs created
+   * in all the trials.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.CustomJobSpec trial_job_spec = 8 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.CustomJobSpecOrBuilder getTrialJobSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Trial> getTrialsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.Trial getTrials(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getTrialsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.TrialOrBuilder> getTrialsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Trials of the HyperparameterTuningJob.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial trials = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.TrialOrBuilder getTrialsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  int getStateValue();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the job.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  com.google.cloud.aiplatform.v1.JobState getState();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  boolean hasStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  com.google.protobuf.Timestamp getStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob for the first time entered the
+   * `JOB_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  boolean hasEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  com.google.protobuf.Timestamp getEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob entered any of the following states:
+   * `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the HyperparameterTuningJob was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  boolean hasError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  com.google.rpc.Status getError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when job's state is JOB_STATE_FAILED or
+   * JOB_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  com.google.rpc.StatusOrBuilder getErrorOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize HyperparameterTuningJobs.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 16;</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 17;</code>
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobProto.java
new file mode 100644
index 000000000..5074db162
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/HyperparameterTuningJobProto.java
@@ -0,0 +1,153 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class HyperparameterTuningJobProto {
+  private HyperparameterTuningJobProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_LabelsEntry_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n:google/cloud/aiplatform/v1/hyperparame"
+          + "ter_tuning_job.proto\022\032google.cloud.aipla"
+          + "tform.v1\032\037google/api/field_behavior.prot"
+          + "o\032\031google/api/resource.proto\032+google/clo"
+          + "ud/aiplatform/v1/custom_job.proto\0320googl"
+          + "e/cloud/aiplatform/v1/encryption_spec.pr"
+          + "oto\032*google/cloud/aiplatform/v1/job_stat"
+          + "e.proto\032&google/cloud/aiplatform/v1/stud"
+          + "y.proto\032\037google/protobuf/timestamp.proto"
+          + "\032\027google/rpc/status.proto\032\034google/api/an"
+          + "notations.proto\"\373\007\n\027HyperparameterTuning"
+          + "Job\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002"
+          + " \001(\tB\003\340A\002\022>\n\nstudy_spec\030\004 \001(\0132%.google.c"
+          + "loud.aiplatform.v1.StudySpecB\003\340A\002\022\034\n\017max"
+          + "_trial_count\030\005 \001(\005B\003\340A\002\022!\n\024parallel_tria"
+          + "l_count\030\006 \001(\005B\003\340A\002\022\036\n\026max_failed_trial_c"
+          + "ount\030\007 \001(\005\022F\n\016trial_job_spec\030\010 \001(\0132).goo"
+          + "gle.cloud.aiplatform.v1.CustomJobSpecB\003\340"
+          + "A\002\0226\n\006trials\030\t \003(\0132!.google.cloud.aiplat"
+          + "form.v1.TrialB\003\340A\003\0228\n\005state\030\n \001(\0162$.goog"
+          + "le.cloud.aiplatform.v1.JobStateB\003\340A\003\0224\n\013"
+          + "create_time\030\013 \001(\0132\032.google.protobuf.Time"
+          + "stampB\003\340A\003\0223\n\nstart_time\030\014 \001(\0132\032.google."
+          + "protobuf.TimestampB\003\340A\003\0221\n\010end_time\030\r \001("
+          + "\0132\032.google.protobuf.TimestampB\003\340A\003\0224\n\013up"
+          + "date_time\030\016 \001(\0132\032.google.protobuf.Timest"
+          + "ampB\003\340A\003\022&\n\005error\030\017 \001(\0132\022.google.rpc.Sta"
+          + "tusB\003\340A\003\022O\n\006labels\030\020 \003(\0132?.google.cloud."
+          + "aiplatform.v1.HyperparameterTuningJob.La"
+          + "belsEntry\022C\n\017encryption_spec\030\021 \001(\0132*.goo"
+          + "gle.cloud.aiplatform.v1.EncryptionSpec\032-"
+          + "\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001("
+          + "\t:\0028\001:\225\001\352A\221\001\n1aiplatform.googleapis.com/"
+          + "HyperparameterTuningJob\022\\projects/{proje"
+          + "ct}/locations/{location}/hyperparameterT"
+          + "uningJobs/{hyperparameter_tuning_job}B\206\001"
+          + "\n\036com.google.cloud.aiplatform.v1B\034Hyperp"
+          + "arameterTuningJobProtoP\001ZDgoogle.golang."
+          + "org/genproto/googleapis/cloud/aiplatform"
+          + "/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.CustomJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.StudyProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "StudySpec",
+              "MaxTrialCount",
+              "ParallelTrialCount",
+              "MaxFailedTrialCount",
+              "TrialJobSpec",
+              "Trials",
+              "State",
+              "CreateTime",
+              "StartTime",
+              "EndTime",
+              "UpdateTime",
+              "Error",
+              "Labels",
+              "EncryptionSpec",
+            });
+    internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_HyperparameterTuningJob_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.CustomJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.StudyProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfig.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfig.java
new file mode 100644
index 000000000..e35c48f85
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfig.java
@@ -0,0 +1,1473 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Describes the location from where we import data into a Dataset, together
+ * with the labels that will be applied to the DataItems and the Annotations.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataConfig}
+ */
+public final class ImportDataConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ImportDataConfig)
+    ImportDataConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImportDataConfig.newBuilder() to construct.
+  private ImportDataConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImportDataConfig() {
+    importSchemaUri_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImportDataConfig();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImportDataConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GcsSource.Builder subBuilder = null;
+              if (sourceCase_ == 1) {
+                subBuilder = ((com.google.cloud.aiplatform.v1.GcsSource) source_).toBuilder();
+              }
+              source_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GcsSource.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.GcsSource) source_);
+                source_ = subBuilder.buildPartial();
+              }
+              sourceCase_ = 1;
+              break;
+            }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                dataItemLabels_ =
+                    com.google.protobuf.MapField.newMapField(
+                        DataItemLabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> dataItemLabels__ =
+                  input.readMessage(
+                      DataItemLabelsDefaultEntryHolder.defaultEntry.getParserForType(),
+                      extensionRegistry);
+              dataItemLabels_
+                  .getMutableMap()
+                  .put(dataItemLabels__.getKey(), dataItemLabels__.getValue());
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              importSchemaUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetProto
+        .internal_static_google_cloud_aiplatform_v1_ImportDataConfig_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 2:
+        return internalGetDataItemLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetProto
+        .internal_static_google_cloud_aiplatform_v1_ImportDataConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ImportDataConfig.class,
+            com.google.cloud.aiplatform.v1.ImportDataConfig.Builder.class);
+  }
+
+  private int sourceCase_ = 0;
+  private java.lang.Object source_;
+
+  public enum SourceCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    GCS_SOURCE(1),
+    SOURCE_NOT_SET(0);
+    private final int value;
+
+    private SourceCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static SourceCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static SourceCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return GCS_SOURCE;
+        case 0:
+          return SOURCE_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public SourceCase getSourceCase() {
+    return SourceCase.forNumber(sourceCase_);
+  }
+
+  public static final int GCS_SOURCE_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location for the input content.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+   *
+   * @return Whether the gcsSource field is set.
+   */
+  @java.lang.Override
+  public boolean hasGcsSource() {
+    return sourceCase_ == 1;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location for the input content.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+   *
+   * @return The gcsSource.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsSource getGcsSource() {
+    if (sourceCase_ == 1) {
+      return (com.google.cloud.aiplatform.v1.GcsSource) source_;
+    }
+    return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location for the input content.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() {
+    if (sourceCase_ == 1) {
+      return (com.google.cloud.aiplatform.v1.GcsSource) source_;
+    }
+    return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+  }
+
+  public static final int DATA_ITEM_LABELS_FIELD_NUMBER = 2;
+
+  private static final class DataItemLabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.DatasetProto
+                .internal_static_google_cloud_aiplatform_v1_ImportDataConfig_DataItemLabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> dataItemLabels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+      internalGetDataItemLabels() {
+    if (dataItemLabels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(
+          DataItemLabelsDefaultEntryHolder.defaultEntry);
+    }
+    return dataItemLabels_;
+  }
+
+  public int getDataItemLabelsCount() {
+    return internalGetDataItemLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  @java.lang.Override
+  public boolean containsDataItemLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetDataItemLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getDataItemLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getDataItemLabels() {
+    return getDataItemLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getDataItemLabelsMap() {
+    return internalGetDataItemLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getDataItemLabelsOrDefault(
+      java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetDataItemLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getDataItemLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetDataItemLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int IMPORT_SCHEMA_URI_FIELD_NUMBER = 4;
+  private volatile java.lang.Object importSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+   * format. Validation will be done against the schema. The schema is defined
+   * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+   * </pre>
+   *
+   * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The importSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getImportSchemaUri() {
+    java.lang.Object ref = importSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      importSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+   * format. Validation will be done against the schema. The schema is defined
+   * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+   * </pre>
+   *
+   * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for importSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getImportSchemaUriBytes() {
+    java.lang.Object ref = importSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      importSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (sourceCase_ == 1) {
+      output.writeMessage(1, (com.google.cloud.aiplatform.v1.GcsSource) source_);
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetDataItemLabels(), DataItemLabelsDefaultEntryHolder.defaultEntry, 2);
+    if (!getImportSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, importSchemaUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (sourceCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              1, (com.google.cloud.aiplatform.v1.GcsSource) source_);
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.String> entry :
+        internalGetDataItemLabels().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.String> dataItemLabels__ =
+          DataItemLabelsDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, dataItemLabels__);
+    }
+    if (!getImportSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, importSchemaUri_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ImportDataConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ImportDataConfig other =
+        (com.google.cloud.aiplatform.v1.ImportDataConfig) obj;
+
+    if (!internalGetDataItemLabels().equals(other.internalGetDataItemLabels())) return false;
+    if (!getImportSchemaUri().equals(other.getImportSchemaUri())) return false;
+    if (!getSourceCase().equals(other.getSourceCase())) return false;
+    switch (sourceCase_) {
+      case 1:
+        if (!getGcsSource().equals(other.getGcsSource())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (!internalGetDataItemLabels().getMap().isEmpty()) {
+      hash = (37 * hash) + DATA_ITEM_LABELS_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetDataItemLabels().hashCode();
+    }
+    hash = (37 * hash) + IMPORT_SCHEMA_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getImportSchemaUri().hashCode();
+    switch (sourceCase_) {
+      case 1:
+        hash = (37 * hash) + GCS_SOURCE_FIELD_NUMBER;
+        hash = (53 * hash) + getGcsSource().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ImportDataConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Describes the location from where we import data into a Dataset, together
+   * with the labels that will be applied to the DataItems and the Annotations.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ImportDataConfig)
+      com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataConfig_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 2:
+          return internalGetDataItemLabels();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 2:
+          return internalGetMutableDataItemLabels();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ImportDataConfig.class,
+              com.google.cloud.aiplatform.v1.ImportDataConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ImportDataConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      internalGetMutableDataItemLabels().clear();
+      importSchemaUri_ = "";
+
+      sourceCase_ = 0;
+      source_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataConfig getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ImportDataConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataConfig build() {
+      com.google.cloud.aiplatform.v1.ImportDataConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataConfig buildPartial() {
+      com.google.cloud.aiplatform.v1.ImportDataConfig result =
+          new com.google.cloud.aiplatform.v1.ImportDataConfig(this);
+      int from_bitField0_ = bitField0_;
+      if (sourceCase_ == 1) {
+        if (gcsSourceBuilder_ == null) {
+          result.source_ = source_;
+        } else {
+          result.source_ = gcsSourceBuilder_.build();
+        }
+      }
+      result.dataItemLabels_ = internalGetDataItemLabels();
+      result.dataItemLabels_.makeImmutable();
+      result.importSchemaUri_ = importSchemaUri_;
+      result.sourceCase_ = sourceCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ImportDataConfig) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ImportDataConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ImportDataConfig other) {
+      if (other == com.google.cloud.aiplatform.v1.ImportDataConfig.getDefaultInstance())
+        return this;
+      internalGetMutableDataItemLabels().mergeFrom(other.internalGetDataItemLabels());
+      if (!other.getImportSchemaUri().isEmpty()) {
+        importSchemaUri_ = other.importSchemaUri_;
+        onChanged();
+      }
+      switch (other.getSourceCase()) {
+        case GCS_SOURCE:
+          {
+            mergeGcsSource(other.getGcsSource());
+            break;
+          }
+        case SOURCE_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ImportDataConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.ImportDataConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int sourceCase_ = 0;
+    private java.lang.Object source_;
+
+    public SourceCase getSourceCase() {
+      return SourceCase.forNumber(sourceCase_);
+    }
+
+    public Builder clearSource() {
+      sourceCase_ = 0;
+      source_ = null;
+      onChanged();
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GcsSource,
+            com.google.cloud.aiplatform.v1.GcsSource.Builder,
+            com.google.cloud.aiplatform.v1.GcsSourceOrBuilder>
+        gcsSourceBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     *
+     * @return Whether the gcsSource field is set.
+     */
+    @java.lang.Override
+    public boolean hasGcsSource() {
+      return sourceCase_ == 1;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     *
+     * @return The gcsSource.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsSource getGcsSource() {
+      if (gcsSourceBuilder_ == null) {
+        if (sourceCase_ == 1) {
+          return (com.google.cloud.aiplatform.v1.GcsSource) source_;
+        }
+        return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+      } else {
+        if (sourceCase_ == 1) {
+          return gcsSourceBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     */
+    public Builder setGcsSource(com.google.cloud.aiplatform.v1.GcsSource value) {
+      if (gcsSourceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        source_ = value;
+        onChanged();
+      } else {
+        gcsSourceBuilder_.setMessage(value);
+      }
+      sourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     */
+    public Builder setGcsSource(com.google.cloud.aiplatform.v1.GcsSource.Builder builderForValue) {
+      if (gcsSourceBuilder_ == null) {
+        source_ = builderForValue.build();
+        onChanged();
+      } else {
+        gcsSourceBuilder_.setMessage(builderForValue.build());
+      }
+      sourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     */
+    public Builder mergeGcsSource(com.google.cloud.aiplatform.v1.GcsSource value) {
+      if (gcsSourceBuilder_ == null) {
+        if (sourceCase_ == 1
+            && source_ != com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance()) {
+          source_ =
+              com.google.cloud.aiplatform.v1.GcsSource.newBuilder(
+                      (com.google.cloud.aiplatform.v1.GcsSource) source_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          source_ = value;
+        }
+        onChanged();
+      } else {
+        if (sourceCase_ == 1) {
+          gcsSourceBuilder_.mergeFrom(value);
+        }
+        gcsSourceBuilder_.setMessage(value);
+      }
+      sourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     */
+    public Builder clearGcsSource() {
+      if (gcsSourceBuilder_ == null) {
+        if (sourceCase_ == 1) {
+          sourceCase_ = 0;
+          source_ = null;
+          onChanged();
+        }
+      } else {
+        if (sourceCase_ == 1) {
+          sourceCase_ = 0;
+          source_ = null;
+        }
+        gcsSourceBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GcsSource.Builder getGcsSourceBuilder() {
+      return getGcsSourceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsSourceOrBuilder getGcsSourceOrBuilder() {
+      if ((sourceCase_ == 1) && (gcsSourceBuilder_ != null)) {
+        return gcsSourceBuilder_.getMessageOrBuilder();
+      } else {
+        if (sourceCase_ == 1) {
+          return (com.google.cloud.aiplatform.v1.GcsSource) source_;
+        }
+        return com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location for the input content.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GcsSource,
+            com.google.cloud.aiplatform.v1.GcsSource.Builder,
+            com.google.cloud.aiplatform.v1.GcsSourceOrBuilder>
+        getGcsSourceFieldBuilder() {
+      if (gcsSourceBuilder_ == null) {
+        if (!(sourceCase_ == 1)) {
+          source_ = com.google.cloud.aiplatform.v1.GcsSource.getDefaultInstance();
+        }
+        gcsSourceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GcsSource,
+                com.google.cloud.aiplatform.v1.GcsSource.Builder,
+                com.google.cloud.aiplatform.v1.GcsSourceOrBuilder>(
+                (com.google.cloud.aiplatform.v1.GcsSource) source_,
+                getParentForChildren(),
+                isClean());
+        source_ = null;
+      }
+      sourceCase_ = 1;
+      onChanged();
+      ;
+      return gcsSourceBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> dataItemLabels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetDataItemLabels() {
+      if (dataItemLabels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(
+            DataItemLabelsDefaultEntryHolder.defaultEntry);
+      }
+      return dataItemLabels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableDataItemLabels() {
+      onChanged();
+      ;
+      if (dataItemLabels_ == null) {
+        dataItemLabels_ =
+            com.google.protobuf.MapField.newMapField(DataItemLabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!dataItemLabels_.isMutable()) {
+        dataItemLabels_ = dataItemLabels_.copy();
+      }
+      return dataItemLabels_;
+    }
+
+    public int getDataItemLabelsCount() {
+      return internalGetDataItemLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels that will be applied to newly imported DataItems. If an identical
+     * DataItem as one being imported already exists in the Dataset, then these
+     * labels will be appended to these of the already existing one, and if labels
+     * with identical key is imported before, the old label value will be
+     * overwritten. If two DataItems are identical in the same import data
+     * operation, the labels will be combined and if key collision happens in this
+     * case, one of the values will be picked randomly. Two DataItems are
+     * considered identical if their content bytes are identical (e.g. image bytes
+     * or pdf bytes).
+     * These labels will be overridden by Annotation labels specified inside index
+     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+     */
+    @java.lang.Override
+    public boolean containsDataItemLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetDataItemLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getDataItemLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getDataItemLabels() {
+      return getDataItemLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels that will be applied to newly imported DataItems. If an identical
+     * DataItem as one being imported already exists in the Dataset, then these
+     * labels will be appended to these of the already existing one, and if labels
+     * with identical key is imported before, the old label value will be
+     * overwritten. If two DataItems are identical in the same import data
+     * operation, the labels will be combined and if key collision happens in this
+     * case, one of the values will be picked randomly. Two DataItems are
+     * considered identical if their content bytes are identical (e.g. image bytes
+     * or pdf bytes).
+     * These labels will be overridden by Annotation labels specified inside index
+     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getDataItemLabelsMap() {
+      return internalGetDataItemLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels that will be applied to newly imported DataItems. If an identical
+     * DataItem as one being imported already exists in the Dataset, then these
+     * labels will be appended to these of the already existing one, and if labels
+     * with identical key is imported before, the old label value will be
+     * overwritten. If two DataItems are identical in the same import data
+     * operation, the labels will be combined and if key collision happens in this
+     * case, one of the values will be picked randomly. Two DataItems are
+     * considered identical if their content bytes are identical (e.g. image bytes
+     * or pdf bytes).
+     * These labels will be overridden by Annotation labels specified inside index
+     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getDataItemLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetDataItemLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels that will be applied to newly imported DataItems. If an identical
+     * DataItem as one being imported already exists in the Dataset, then these
+     * labels will be appended to these of the already existing one, and if labels
+     * with identical key is imported before, the old label value will be
+     * overwritten. If two DataItems are identical in the same import data
+     * operation, the labels will be combined and if key collision happens in this
+     * case, one of the values will be picked randomly. Two DataItems are
+     * considered identical if their content bytes are identical (e.g. image bytes
+     * or pdf bytes).
+     * These labels will be overridden by Annotation labels specified inside index
+     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getDataItemLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetDataItemLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearDataItemLabels() {
+      internalGetMutableDataItemLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels that will be applied to newly imported DataItems. If an identical
+     * DataItem as one being imported already exists in the Dataset, then these
+     * labels will be appended to these of the already existing one, and if labels
+     * with identical key is imported before, the old label value will be
+     * overwritten. If two DataItems are identical in the same import data
+     * operation, the labels will be combined and if key collision happens in this
+     * case, one of the values will be picked randomly. Two DataItems are
+     * considered identical if their content bytes are identical (e.g. image bytes
+     * or pdf bytes).
+     * These labels will be overridden by Annotation labels specified inside index
+     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+     */
+    public Builder removeDataItemLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableDataItemLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableDataItemLabels() {
+      return internalGetMutableDataItemLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels that will be applied to newly imported DataItems. If an identical
+     * DataItem as one being imported already exists in the Dataset, then these
+     * labels will be appended to these of the already existing one, and if labels
+     * with identical key is imported before, the old label value will be
+     * overwritten. If two DataItems are identical in the same import data
+     * operation, the labels will be combined and if key collision happens in this
+     * case, one of the values will be picked randomly. Two DataItems are
+     * considered identical if their content bytes are identical (e.g. image bytes
+     * or pdf bytes).
+     * These labels will be overridden by Annotation labels specified inside index
+     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+     */
+    public Builder putDataItemLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableDataItemLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Labels that will be applied to newly imported DataItems. If an identical
+     * DataItem as one being imported already exists in the Dataset, then these
+     * labels will be appended to these of the already existing one, and if labels
+     * with identical key is imported before, the old label value will be
+     * overwritten. If two DataItems are identical in the same import data
+     * operation, the labels will be combined and if key collision happens in this
+     * case, one of the values will be picked randomly. Two DataItems are
+     * considered identical if their content bytes are identical (e.g. image bytes
+     * or pdf bytes).
+     * These labels will be overridden by Annotation labels specified inside index
+     * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+     */
+    public Builder putAllDataItemLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableDataItemLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private java.lang.Object importSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+     * format. Validation will be done against the schema. The schema is defined
+     * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * </pre>
+     *
+     * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The importSchemaUri.
+     */
+    public java.lang.String getImportSchemaUri() {
+      java.lang.Object ref = importSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        importSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+     * format. Validation will be done against the schema. The schema is defined
+     * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * </pre>
+     *
+     * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for importSchemaUri.
+     */
+    public com.google.protobuf.ByteString getImportSchemaUriBytes() {
+      java.lang.Object ref = importSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        importSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+     * format. Validation will be done against the schema. The schema is defined
+     * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * </pre>
+     *
+     * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The importSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setImportSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      importSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+     * format. Validation will be done against the schema. The schema is defined
+     * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * </pre>
+     *
+     * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearImportSchemaUri() {
+
+      importSchemaUri_ = getDefaultInstance().getImportSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+     * format. Validation will be done against the schema. The schema is defined
+     * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+     * </pre>
+     *
+     * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for importSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setImportSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      importSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ImportDataConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ImportDataConfig)
+  private static final com.google.cloud.aiplatform.v1.ImportDataConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ImportDataConfig();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImportDataConfig> PARSER =
+      new com.google.protobuf.AbstractParser<ImportDataConfig>() {
+        @java.lang.Override
+        public ImportDataConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImportDataConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImportDataConfig> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImportDataConfig> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ImportDataConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfigOrBuilder.java
new file mode 100644
index 000000000..9889b209d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataConfigOrBuilder.java
@@ -0,0 +1,195 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ImportDataConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ImportDataConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location for the input content.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+   *
+   * @return Whether the gcsSource field is set.
+   */
+  boolean hasGcsSource();
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location for the input content.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+   *
+   * @return The gcsSource.
+   */
+  com.google.cloud.aiplatform.v1.GcsSource getGcsSource();
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location for the input content.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsSource gcs_source = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GcsSourceOrBuilder getGcsSourceOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  int getDataItemLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  boolean containsDataItemLabels(java.lang.String key);
+  /** Use {@link #getDataItemLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getDataItemLabels();
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getDataItemLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  java.lang.String getDataItemLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * Labels that will be applied to newly imported DataItems. If an identical
+   * DataItem as one being imported already exists in the Dataset, then these
+   * labels will be appended to these of the already existing one, and if labels
+   * with identical key is imported before, the old label value will be
+   * overwritten. If two DataItems are identical in the same import data
+   * operation, the labels will be combined and if key collision happens in this
+   * case, one of the values will be picked randomly. Two DataItems are
+   * considered identical if their content bytes are identical (e.g. image bytes
+   * or pdf bytes).
+   * These labels will be overridden by Annotation labels specified inside index
+   * file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; data_item_labels = 2;</code>
+   */
+  java.lang.String getDataItemLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+   * format. Validation will be done against the schema. The schema is defined
+   * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+   * </pre>
+   *
+   * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The importSchemaUri.
+   */
+  java.lang.String getImportSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Points to a YAML file stored on Google Cloud Storage describing the import
+   * format. Validation will be done against the schema. The schema is defined
+   * as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+   * </pre>
+   *
+   * <code>string import_schema_uri = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for importSchemaUri.
+   */
+  com.google.protobuf.ByteString getImportSchemaUriBytes();
+
+  public com.google.cloud.aiplatform.v1.ImportDataConfig.SourceCase getSourceCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadata.java
new file mode 100644
index 000000000..0e1327432
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadata.java
@@ -0,0 +1,741 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataOperationMetadata}
+ */
+public final class ImportDataOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ImportDataOperationMetadata)
+    ImportDataOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImportDataOperationMetadata.newBuilder() to construct.
+  private ImportDataOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImportDataOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImportDataOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImportDataOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ImportDataOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ImportDataOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ImportDataOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.ImportDataOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ImportDataOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ImportDataOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.ImportDataOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ImportDataOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ImportDataOperationMetadata)
+      com.google.cloud.aiplatform.v1.ImportDataOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ImportDataOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.ImportDataOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ImportDataOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ImportDataOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.ImportDataOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.ImportDataOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.ImportDataOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ImportDataOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ImportDataOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ImportDataOperationMetadata other) {
+      if (other == com.google.cloud.aiplatform.v1.ImportDataOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ImportDataOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ImportDataOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ImportDataOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ImportDataOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.ImportDataOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ImportDataOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImportDataOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<ImportDataOperationMetadata>() {
+        @java.lang.Override
+        public ImportDataOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImportDataOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImportDataOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImportDataOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ImportDataOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..3c1e346d9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataOperationMetadataOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ImportDataOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ImportDataOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequest.java
new file mode 100644
index 000000000..4da97aed3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequest.java
@@ -0,0 +1,1237 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataRequest}
+ */
+public final class ImportDataRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ImportDataRequest)
+    ImportDataRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImportDataRequest.newBuilder() to construct.
+  private ImportDataRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImportDataRequest() {
+    name_ = "";
+    importConfigs_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImportDataRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImportDataRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                importConfigs_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.ImportDataConfig>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              importConfigs_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ImportDataConfig.parser(), extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        importConfigs_ = java.util.Collections.unmodifiableList(importConfigs_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ImportDataRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ImportDataRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ImportDataRequest.class,
+            com.google.cloud.aiplatform.v1.ImportDataRequest.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int IMPORT_CONFIGS_FIELD_NUMBER = 2;
+  private java.util.List<com.google.cloud.aiplatform.v1.ImportDataConfig> importConfigs_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.ImportDataConfig> getImportConfigsList() {
+    return importConfigs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder>
+      getImportConfigsOrBuilderList() {
+    return importConfigs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public int getImportConfigsCount() {
+    return importConfigs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ImportDataConfig getImportConfigs(int index) {
+    return importConfigs_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder getImportConfigsOrBuilder(
+      int index) {
+    return importConfigs_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    for (int i = 0; i < importConfigs_.size(); i++) {
+      output.writeMessage(2, importConfigs_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    for (int i = 0; i < importConfigs_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, importConfigs_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ImportDataRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ImportDataRequest other =
+        (com.google.cloud.aiplatform.v1.ImportDataRequest) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getImportConfigsList().equals(other.getImportConfigsList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (getImportConfigsCount() > 0) {
+      hash = (37 * hash) + IMPORT_CONFIGS_FIELD_NUMBER;
+      hash = (53 * hash) + getImportConfigsList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ImportDataRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ImportDataRequest)
+      com.google.cloud.aiplatform.v1.ImportDataRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ImportDataRequest.class,
+              com.google.cloud.aiplatform.v1.ImportDataRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ImportDataRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getImportConfigsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (importConfigsBuilder_ == null) {
+        importConfigs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        importConfigsBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ImportDataRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataRequest build() {
+      com.google.cloud.aiplatform.v1.ImportDataRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.ImportDataRequest result =
+          new com.google.cloud.aiplatform.v1.ImportDataRequest(this);
+      int from_bitField0_ = bitField0_;
+      result.name_ = name_;
+      if (importConfigsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          importConfigs_ = java.util.Collections.unmodifiableList(importConfigs_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.importConfigs_ = importConfigs_;
+      } else {
+        result.importConfigs_ = importConfigsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ImportDataRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ImportDataRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ImportDataRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.ImportDataRequest.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (importConfigsBuilder_ == null) {
+        if (!other.importConfigs_.isEmpty()) {
+          if (importConfigs_.isEmpty()) {
+            importConfigs_ = other.importConfigs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureImportConfigsIsMutable();
+            importConfigs_.addAll(other.importConfigs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.importConfigs_.isEmpty()) {
+          if (importConfigsBuilder_.isEmpty()) {
+            importConfigsBuilder_.dispose();
+            importConfigsBuilder_ = null;
+            importConfigs_ = other.importConfigs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            importConfigsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getImportConfigsFieldBuilder()
+                    : null;
+          } else {
+            importConfigsBuilder_.addAllMessages(other.importConfigs_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ImportDataRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.ImportDataRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Dataset resource.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.ImportDataConfig> importConfigs_ =
+        java.util.Collections.emptyList();
+
+    private void ensureImportConfigsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        importConfigs_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.ImportDataConfig>(
+                importConfigs_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ImportDataConfig,
+            com.google.cloud.aiplatform.v1.ImportDataConfig.Builder,
+            com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder>
+        importConfigsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.ImportDataConfig> getImportConfigsList() {
+      if (importConfigsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(importConfigs_);
+      } else {
+        return importConfigsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public int getImportConfigsCount() {
+      if (importConfigsBuilder_ == null) {
+        return importConfigs_.size();
+      } else {
+        return importConfigsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ImportDataConfig getImportConfigs(int index) {
+      if (importConfigsBuilder_ == null) {
+        return importConfigs_.get(index);
+      } else {
+        return importConfigsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setImportConfigs(
+        int index, com.google.cloud.aiplatform.v1.ImportDataConfig value) {
+      if (importConfigsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureImportConfigsIsMutable();
+        importConfigs_.set(index, value);
+        onChanged();
+      } else {
+        importConfigsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setImportConfigs(
+        int index, com.google.cloud.aiplatform.v1.ImportDataConfig.Builder builderForValue) {
+      if (importConfigsBuilder_ == null) {
+        ensureImportConfigsIsMutable();
+        importConfigs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        importConfigsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addImportConfigs(com.google.cloud.aiplatform.v1.ImportDataConfig value) {
+      if (importConfigsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureImportConfigsIsMutable();
+        importConfigs_.add(value);
+        onChanged();
+      } else {
+        importConfigsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addImportConfigs(
+        int index, com.google.cloud.aiplatform.v1.ImportDataConfig value) {
+      if (importConfigsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureImportConfigsIsMutable();
+        importConfigs_.add(index, value);
+        onChanged();
+      } else {
+        importConfigsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addImportConfigs(
+        com.google.cloud.aiplatform.v1.ImportDataConfig.Builder builderForValue) {
+      if (importConfigsBuilder_ == null) {
+        ensureImportConfigsIsMutable();
+        importConfigs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        importConfigsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addImportConfigs(
+        int index, com.google.cloud.aiplatform.v1.ImportDataConfig.Builder builderForValue) {
+      if (importConfigsBuilder_ == null) {
+        ensureImportConfigsIsMutable();
+        importConfigs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        importConfigsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addAllImportConfigs(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.ImportDataConfig> values) {
+      if (importConfigsBuilder_ == null) {
+        ensureImportConfigsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, importConfigs_);
+        onChanged();
+      } else {
+        importConfigsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearImportConfigs() {
+      if (importConfigsBuilder_ == null) {
+        importConfigs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        importConfigsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder removeImportConfigs(int index) {
+      if (importConfigsBuilder_ == null) {
+        ensureImportConfigsIsMutable();
+        importConfigs_.remove(index);
+        onChanged();
+      } else {
+        importConfigsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ImportDataConfig.Builder getImportConfigsBuilder(
+        int index) {
+      return getImportConfigsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder getImportConfigsOrBuilder(
+        int index) {
+      if (importConfigsBuilder_ == null) {
+        return importConfigs_.get(index);
+      } else {
+        return importConfigsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder>
+        getImportConfigsOrBuilderList() {
+      if (importConfigsBuilder_ != null) {
+        return importConfigsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(importConfigs_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ImportDataConfig.Builder addImportConfigsBuilder() {
+      return getImportConfigsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.ImportDataConfig.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ImportDataConfig.Builder addImportConfigsBuilder(
+        int index) {
+      return getImportConfigsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.ImportDataConfig.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The desired input locations. The contents of all input locations will be
+     * imported in one batch.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.ImportDataConfig.Builder>
+        getImportConfigsBuilderList() {
+      return getImportConfigsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ImportDataConfig,
+            com.google.cloud.aiplatform.v1.ImportDataConfig.Builder,
+            com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder>
+        getImportConfigsFieldBuilder() {
+      if (importConfigsBuilder_ == null) {
+        importConfigsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ImportDataConfig,
+                com.google.cloud.aiplatform.v1.ImportDataConfig.Builder,
+                com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder>(
+                importConfigs_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        importConfigs_ = null;
+      }
+      return importConfigsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ImportDataRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ImportDataRequest)
+  private static final com.google.cloud.aiplatform.v1.ImportDataRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ImportDataRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImportDataRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ImportDataRequest>() {
+        @java.lang.Override
+        public ImportDataRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImportDataRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImportDataRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImportDataRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ImportDataRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequestOrBuilder.java
new file mode 100644
index 000000000..e2cf39325
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataRequestOrBuilder.java
@@ -0,0 +1,125 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ImportDataRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ImportDataRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset resource.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.ImportDataConfig> getImportConfigsList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ImportDataConfig getImportConfigs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  int getImportConfigsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder>
+      getImportConfigsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The desired input locations. The contents of all input locations will be
+   * imported in one batch.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.ImportDataConfig import_configs = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ImportDataConfigOrBuilder getImportConfigsOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponse.java
new file mode 100644
index 000000000..cc2317b5d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponse.java
@@ -0,0 +1,456 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataResponse}
+ */
+public final class ImportDataResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ImportDataResponse)
+    ImportDataResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImportDataResponse.newBuilder() to construct.
+  private ImportDataResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImportDataResponse() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImportDataResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImportDataResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ImportDataResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ImportDataResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ImportDataResponse.class,
+            com.google.cloud.aiplatform.v1.ImportDataResponse.Builder.class);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ImportDataResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ImportDataResponse other =
+        (com.google.cloud.aiplatform.v1.ImportDataResponse) obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ImportDataResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ImportDataResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ImportDataResponse)
+      com.google.cloud.aiplatform.v1.ImportDataResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ImportDataResponse.class,
+              com.google.cloud.aiplatform.v1.ImportDataResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ImportDataResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ImportDataResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ImportDataResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataResponse build() {
+      com.google.cloud.aiplatform.v1.ImportDataResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ImportDataResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ImportDataResponse result =
+          new com.google.cloud.aiplatform.v1.ImportDataResponse(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ImportDataResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ImportDataResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ImportDataResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ImportDataResponse.getDefaultInstance())
+        return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ImportDataResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ImportDataResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ImportDataResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ImportDataResponse)
+  private static final com.google.cloud.aiplatform.v1.ImportDataResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ImportDataResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ImportDataResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImportDataResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ImportDataResponse>() {
+        @java.lang.Override
+        public ImportDataResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImportDataResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImportDataResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImportDataResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ImportDataResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponseOrBuilder.java
new file mode 100644
index 000000000..06cd43280
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ImportDataResponseOrBuilder.java
@@ -0,0 +1,24 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ImportDataResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ImportDataResponse)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfig.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfig.java
new file mode 100644
index 000000000..5b0809265
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfig.java
@@ -0,0 +1,3561 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Specifies AI Platform owned input data to be used for training, and
+ * possibly evaluating, the Model.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.InputDataConfig}
+ */
+public final class InputDataConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.InputDataConfig)
+    InputDataConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use InputDataConfig.newBuilder() to construct.
+  private InputDataConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private InputDataConfig() {
+    datasetId_ = "";
+    annotationsFilter_ = "";
+    annotationSchemaUri_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new InputDataConfig();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private InputDataConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              datasetId_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.FractionSplit.Builder subBuilder = null;
+              if (splitCase_ == 2) {
+                subBuilder = ((com.google.cloud.aiplatform.v1.FractionSplit) split_).toBuilder();
+              }
+              split_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.FractionSplit.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.FractionSplit) split_);
+                split_ = subBuilder.buildPartial();
+              }
+              splitCase_ = 2;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.aiplatform.v1.FilterSplit.Builder subBuilder = null;
+              if (splitCase_ == 3) {
+                subBuilder = ((com.google.cloud.aiplatform.v1.FilterSplit) split_).toBuilder();
+              }
+              split_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.FilterSplit.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.FilterSplit) split_);
+                split_ = subBuilder.buildPartial();
+              }
+              splitCase_ = 3;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.aiplatform.v1.PredefinedSplit.Builder subBuilder = null;
+              if (splitCase_ == 4) {
+                subBuilder = ((com.google.cloud.aiplatform.v1.PredefinedSplit) split_).toBuilder();
+              }
+              split_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.PredefinedSplit.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.PredefinedSplit) split_);
+                split_ = subBuilder.buildPartial();
+              }
+              splitCase_ = 4;
+              break;
+            }
+          case 42:
+            {
+              com.google.cloud.aiplatform.v1.TimestampSplit.Builder subBuilder = null;
+              if (splitCase_ == 5) {
+                subBuilder = ((com.google.cloud.aiplatform.v1.TimestampSplit) split_).toBuilder();
+              }
+              split_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.TimestampSplit.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.TimestampSplit) split_);
+                split_ = subBuilder.buildPartial();
+              }
+              splitCase_ = 5;
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              annotationsFilter_ = s;
+              break;
+            }
+          case 66:
+            {
+              com.google.cloud.aiplatform.v1.GcsDestination.Builder subBuilder = null;
+              if (destinationCase_ == 8) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.GcsDestination) destination_).toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GcsDestination.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.GcsDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 8;
+              break;
+            }
+          case 74:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              annotationSchemaUri_ = s;
+              break;
+            }
+          case 82:
+            {
+              com.google.cloud.aiplatform.v1.BigQueryDestination.Builder subBuilder = null;
+              if (destinationCase_ == 10) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.BigQueryDestination) destination_).toBuilder();
+              }
+              destination_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.BigQueryDestination.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_);
+                destination_ = subBuilder.buildPartial();
+              }
+              destinationCase_ = 10;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_InputDataConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_InputDataConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.InputDataConfig.class,
+            com.google.cloud.aiplatform.v1.InputDataConfig.Builder.class);
+  }
+
+  private int splitCase_ = 0;
+  private java.lang.Object split_;
+
+  public enum SplitCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    FRACTION_SPLIT(2),
+    FILTER_SPLIT(3),
+    PREDEFINED_SPLIT(4),
+    TIMESTAMP_SPLIT(5),
+    SPLIT_NOT_SET(0);
+    private final int value;
+
+    private SplitCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static SplitCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static SplitCase forNumber(int value) {
+      switch (value) {
+        case 2:
+          return FRACTION_SPLIT;
+        case 3:
+          return FILTER_SPLIT;
+        case 4:
+          return PREDEFINED_SPLIT;
+        case 5:
+          return TIMESTAMP_SPLIT;
+        case 0:
+          return SPLIT_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public SplitCase getSplitCase() {
+    return SplitCase.forNumber(splitCase_);
+  }
+
+  private int destinationCase_ = 0;
+  private java.lang.Object destination_;
+
+  public enum DestinationCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    GCS_DESTINATION(8),
+    BIGQUERY_DESTINATION(10),
+    DESTINATION_NOT_SET(0);
+    private final int value;
+
+    private DestinationCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static DestinationCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static DestinationCase forNumber(int value) {
+      switch (value) {
+        case 8:
+          return GCS_DESTINATION;
+        case 10:
+          return BIGQUERY_DESTINATION;
+        case 0:
+          return DESTINATION_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public DestinationCase getDestinationCase() {
+    return DestinationCase.forNumber(destinationCase_);
+  }
+
+  public static final int FRACTION_SPLIT_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * <pre>
+   * Split based on fractions defining the size of each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FractionSplit fraction_split = 2;</code>
+   *
+   * @return Whether the fractionSplit field is set.
+   */
+  @java.lang.Override
+  public boolean hasFractionSplit() {
+    return splitCase_ == 2;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Split based on fractions defining the size of each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FractionSplit fraction_split = 2;</code>
+   *
+   * @return The fractionSplit.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.FractionSplit getFractionSplit() {
+    if (splitCase_ == 2) {
+      return (com.google.cloud.aiplatform.v1.FractionSplit) split_;
+    }
+    return com.google.cloud.aiplatform.v1.FractionSplit.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Split based on fractions defining the size of each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FractionSplit fraction_split = 2;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.FractionSplitOrBuilder getFractionSplitOrBuilder() {
+    if (splitCase_ == 2) {
+      return (com.google.cloud.aiplatform.v1.FractionSplit) split_;
+    }
+    return com.google.cloud.aiplatform.v1.FractionSplit.getDefaultInstance();
+  }
+
+  public static final int FILTER_SPLIT_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * <pre>
+   * Split based on the provided filters for each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+   *
+   * @return Whether the filterSplit field is set.
+   */
+  @java.lang.Override
+  public boolean hasFilterSplit() {
+    return splitCase_ == 3;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Split based on the provided filters for each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+   *
+   * @return The filterSplit.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.FilterSplit getFilterSplit() {
+    if (splitCase_ == 3) {
+      return (com.google.cloud.aiplatform.v1.FilterSplit) split_;
+    }
+    return com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Split based on the provided filters for each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.FilterSplitOrBuilder getFilterSplitOrBuilder() {
+    if (splitCase_ == 3) {
+      return (com.google.cloud.aiplatform.v1.FilterSplit) split_;
+    }
+    return com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance();
+  }
+
+  public static final int PREDEFINED_SPLIT_FIELD_NUMBER = 4;
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on a predefined key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+   *
+   * @return Whether the predefinedSplit field is set.
+   */
+  @java.lang.Override
+  public boolean hasPredefinedSplit() {
+    return splitCase_ == 4;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on a predefined key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+   *
+   * @return The predefinedSplit.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PredefinedSplit getPredefinedSplit() {
+    if (splitCase_ == 4) {
+      return (com.google.cloud.aiplatform.v1.PredefinedSplit) split_;
+    }
+    return com.google.cloud.aiplatform.v1.PredefinedSplit.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on a predefined key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PredefinedSplitOrBuilder getPredefinedSplitOrBuilder() {
+    if (splitCase_ == 4) {
+      return (com.google.cloud.aiplatform.v1.PredefinedSplit) split_;
+    }
+    return com.google.cloud.aiplatform.v1.PredefinedSplit.getDefaultInstance();
+  }
+
+  public static final int TIMESTAMP_SPLIT_FIELD_NUMBER = 5;
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on the timestamp of the input data pieces.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+   *
+   * @return Whether the timestampSplit field is set.
+   */
+  @java.lang.Override
+  public boolean hasTimestampSplit() {
+    return splitCase_ == 5;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on the timestamp of the input data pieces.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+   *
+   * @return The timestampSplit.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TimestampSplit getTimestampSplit() {
+    if (splitCase_ == 5) {
+      return (com.google.cloud.aiplatform.v1.TimestampSplit) split_;
+    }
+    return com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on the timestamp of the input data pieces.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TimestampSplitOrBuilder getTimestampSplitOrBuilder() {
+    if (splitCase_ == 5) {
+      return (com.google.cloud.aiplatform.v1.TimestampSplit) split_;
+    }
+    return com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance();
+  }
+
+  public static final int GCS_DESTINATION_FIELD_NUMBER = 8;
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
+   * name:
+   * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
+   * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+   * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+   * * AIP_TRAINING_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+   * * AIP_VALIDATION_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+   * * AIP_TEST_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+   *
+   * @return Whether the gcsDestination field is set.
+   */
+  @java.lang.Override
+  public boolean hasGcsDestination() {
+    return destinationCase_ == 8;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
+   * name:
+   * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
+   * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+   * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+   * * AIP_TRAINING_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+   * * AIP_VALIDATION_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+   * * AIP_TEST_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+   *
+   * @return The gcsDestination.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination() {
+    if (destinationCase_ == 8) {
+      return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+    }
+    return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
+   * name:
+   * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
+   * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+   * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+   * * AIP_TRAINING_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+   * * AIP_VALIDATION_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+   * * AIP_TEST_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+    if (destinationCase_ == 8) {
+      return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+    }
+    return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+  }
+
+  public static final int BIGQUERY_DESTINATION_FIELD_NUMBER = 10;
+  /**
+   *
+   *
+   * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
+   * The BigQuery project location where the training data is to be written
+   * to. In the given project a new dataset is created with name
+   * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
+   * * AIP_DATA_FORMAT = "bigquery".
+   * * AIP_TRAINING_DATA_URI  =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+   * * AIP_VALIDATION_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+   * * AIP_TEST_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+   *
+   * @return Whether the bigqueryDestination field is set.
+   */
+  @java.lang.Override
+  public boolean hasBigqueryDestination() {
+    return destinationCase_ == 10;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
+   * The BigQuery project location where the training data is to be written
+   * to. In the given project a new dataset is created with name
+   * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
+   * * AIP_DATA_FORMAT = "bigquery".
+   * * AIP_TRAINING_DATA_URI  =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+   * * AIP_VALIDATION_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+   * * AIP_TEST_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+   *
+   * @return The bigqueryDestination.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination() {
+    if (destinationCase_ == 10) {
+      return (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_;
+    }
+    return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
+   * The BigQuery project location where the training data is to be written
+   * to. In the given project a new dataset is created with name
+   * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
+   * * AIP_DATA_FORMAT = "bigquery".
+   * * AIP_TRAINING_DATA_URI  =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+   * * AIP_VALIDATION_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+   * * AIP_TEST_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder
+      getBigqueryDestinationOrBuilder() {
+    if (destinationCase_ == 10) {
+      return (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_;
+    }
+    return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+  }
+
+  public static final int DATASET_ID_FIELD_NUMBER = 1;
+  private volatile java.lang.Object datasetId_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The ID of the Dataset in the same Project and Location which data will be
+   * used to train the Model. The Dataset must use schema compatible with
+   * Model being trained, and what is compatible should be described in the
+   * used TrainingPipeline's [training_task_definition]
+   * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+   * For tabular Datasets, all their data is exported to training, to pick
+   * and choose from.
+   * </pre>
+   *
+   * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The datasetId.
+   */
+  @java.lang.Override
+  public java.lang.String getDatasetId() {
+    java.lang.Object ref = datasetId_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      datasetId_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The ID of the Dataset in the same Project and Location which data will be
+   * used to train the Model. The Dataset must use schema compatible with
+   * Model being trained, and what is compatible should be described in the
+   * used TrainingPipeline's [training_task_definition]
+   * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+   * For tabular Datasets, all their data is exported to training, to pick
+   * and choose from.
+   * </pre>
+   *
+   * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for datasetId.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDatasetIdBytes() {
+    java.lang.Object ref = datasetId_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      datasetId_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int ANNOTATIONS_FILTER_FIELD_NUMBER = 6;
+  private volatile java.lang.Object annotationsFilter_;
+  /**
+   *
+   *
+   * <pre>
+   * Applicable only to Datasets that have DataItems and Annotations.
+   * A filter on Annotations of the Dataset. Only Annotations that both
+   * match this filter and belong to DataItems not ignored by the split method
+   * are used in respectively training, validation or test role, depending on
+   * the role of the DataItem they are on (for the auto-assigned that role is
+   * decided by AI Platform). A filter with same syntax as the one used in
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+   * here it filters across all Annotations of the Dataset, and not just within
+   * a single DataItem.
+   * </pre>
+   *
+   * <code>string annotations_filter = 6;</code>
+   *
+   * @return The annotationsFilter.
+   */
+  @java.lang.Override
+  public java.lang.String getAnnotationsFilter() {
+    java.lang.Object ref = annotationsFilter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      annotationsFilter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Applicable only to Datasets that have DataItems and Annotations.
+   * A filter on Annotations of the Dataset. Only Annotations that both
+   * match this filter and belong to DataItems not ignored by the split method
+   * are used in respectively training, validation or test role, depending on
+   * the role of the DataItem they are on (for the auto-assigned that role is
+   * decided by AI Platform). A filter with same syntax as the one used in
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+   * here it filters across all Annotations of the Dataset, and not just within
+   * a single DataItem.
+   * </pre>
+   *
+   * <code>string annotations_filter = 6;</code>
+   *
+   * @return The bytes for annotationsFilter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
+    java.lang.Object ref = annotationsFilter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      annotationsFilter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int ANNOTATION_SCHEMA_URI_FIELD_NUMBER = 9;
+  private volatile java.lang.Object annotationSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+   * chosen schema must be consistent with
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+   * Only Annotations that both match this schema and belong to DataItems not
+   * ignored by the split method are used in respectively training, validation
+   * or test role, depending on the role of the DataItem they are on.
+   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+   * </pre>
+   *
+   * <code>string annotation_schema_uri = 9;</code>
+   *
+   * @return The annotationSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getAnnotationSchemaUri() {
+    java.lang.Object ref = annotationSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      annotationSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+   * chosen schema must be consistent with
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+   * Only Annotations that both match this schema and belong to DataItems not
+   * ignored by the split method are used in respectively training, validation
+   * or test role, depending on the role of the DataItem they are on.
+   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+   * </pre>
+   *
+   * <code>string annotation_schema_uri = 9;</code>
+   *
+   * @return The bytes for annotationSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
+    java.lang.Object ref = annotationSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      annotationSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getDatasetIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, datasetId_);
+    }
+    if (splitCase_ == 2) {
+      output.writeMessage(2, (com.google.cloud.aiplatform.v1.FractionSplit) split_);
+    }
+    if (splitCase_ == 3) {
+      output.writeMessage(3, (com.google.cloud.aiplatform.v1.FilterSplit) split_);
+    }
+    if (splitCase_ == 4) {
+      output.writeMessage(4, (com.google.cloud.aiplatform.v1.PredefinedSplit) split_);
+    }
+    if (splitCase_ == 5) {
+      output.writeMessage(5, (com.google.cloud.aiplatform.v1.TimestampSplit) split_);
+    }
+    if (!getAnnotationsFilterBytes().isEmpty()) {
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  public Builder newBuilderForType() {
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+  public static Builder newBuilder() {
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+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
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+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
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+  /**
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+      annotationsFilter_ = "";
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+    public Builder addRepeatedField(
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+    @java.lang.Override
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+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.InputDataConfig other) {
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+            break;
+          }
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+    public Builder mergeFrom(
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+      split_ = null;
+      onChanged();
+      return this;
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+    private int destinationCase_ = 0;
+    private java.lang.Object destination_;
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+      destination_ = null;
+      onChanged();
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+    /**
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+     *
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+     *
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+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FractionSplit getFractionSplit() {
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+    /**
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+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FractionSplit fraction_split = 2;</code>
+     */
+    public Builder setFractionSplit(com.google.cloud.aiplatform.v1.FractionSplit value) {
+      if (fractionSplitBuilder_ == null) {
+        if (value == null) {
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+        split_ = value;
+        onChanged();
+      } else {
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+      splitCase_ = 2;
+      return this;
+    }
+    /**
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+     *
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+     */
+    public Builder setFractionSplit(
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+      } else {
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+      splitCase_ = 2;
+      return this;
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+    /**
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+     *
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+    /**
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+     *
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+    public Builder clearFractionSplit() {
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+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FractionSplitOrBuilder getFractionSplitOrBuilder() {
+      if ((splitCase_ == 2) && (fractionSplitBuilder_ != null)) {
+        return fractionSplitBuilder_.getMessageOrBuilder();
+      } else {
+        if (splitCase_ == 2) {
+          return (com.google.cloud.aiplatform.v1.FractionSplit) split_;
+        }
+        return com.google.cloud.aiplatform.v1.FractionSplit.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on fractions defining the size of each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FractionSplit fraction_split = 2;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.FractionSplit,
+            com.google.cloud.aiplatform.v1.FractionSplit.Builder,
+            com.google.cloud.aiplatform.v1.FractionSplitOrBuilder>
+        getFractionSplitFieldBuilder() {
+      if (fractionSplitBuilder_ == null) {
+        if (!(splitCase_ == 2)) {
+          split_ = com.google.cloud.aiplatform.v1.FractionSplit.getDefaultInstance();
+        }
+        fractionSplitBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.FractionSplit,
+                com.google.cloud.aiplatform.v1.FractionSplit.Builder,
+                com.google.cloud.aiplatform.v1.FractionSplitOrBuilder>(
+                (com.google.cloud.aiplatform.v1.FractionSplit) split_,
+                getParentForChildren(),
+                isClean());
+        split_ = null;
+      }
+      splitCase_ = 2;
+      onChanged();
+      ;
+      return fractionSplitBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.FilterSplit,
+            com.google.cloud.aiplatform.v1.FilterSplit.Builder,
+            com.google.cloud.aiplatform.v1.FilterSplitOrBuilder>
+        filterSplitBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     *
+     * @return Whether the filterSplit field is set.
+     */
+    @java.lang.Override
+    public boolean hasFilterSplit() {
+      return splitCase_ == 3;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     *
+     * @return The filterSplit.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FilterSplit getFilterSplit() {
+      if (filterSplitBuilder_ == null) {
+        if (splitCase_ == 3) {
+          return (com.google.cloud.aiplatform.v1.FilterSplit) split_;
+        }
+        return com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance();
+      } else {
+        if (splitCase_ == 3) {
+          return filterSplitBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     */
+    public Builder setFilterSplit(com.google.cloud.aiplatform.v1.FilterSplit value) {
+      if (filterSplitBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        split_ = value;
+        onChanged();
+      } else {
+        filterSplitBuilder_.setMessage(value);
+      }
+      splitCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     */
+    public Builder setFilterSplit(
+        com.google.cloud.aiplatform.v1.FilterSplit.Builder builderForValue) {
+      if (filterSplitBuilder_ == null) {
+        split_ = builderForValue.build();
+        onChanged();
+      } else {
+        filterSplitBuilder_.setMessage(builderForValue.build());
+      }
+      splitCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     */
+    public Builder mergeFilterSplit(com.google.cloud.aiplatform.v1.FilterSplit value) {
+      if (filterSplitBuilder_ == null) {
+        if (splitCase_ == 3
+            && split_ != com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance()) {
+          split_ =
+              com.google.cloud.aiplatform.v1.FilterSplit.newBuilder(
+                      (com.google.cloud.aiplatform.v1.FilterSplit) split_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          split_ = value;
+        }
+        onChanged();
+      } else {
+        if (splitCase_ == 3) {
+          filterSplitBuilder_.mergeFrom(value);
+        }
+        filterSplitBuilder_.setMessage(value);
+      }
+      splitCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     */
+    public Builder clearFilterSplit() {
+      if (filterSplitBuilder_ == null) {
+        if (splitCase_ == 3) {
+          splitCase_ = 0;
+          split_ = null;
+          onChanged();
+        }
+      } else {
+        if (splitCase_ == 3) {
+          splitCase_ = 0;
+          split_ = null;
+        }
+        filterSplitBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.FilterSplit.Builder getFilterSplitBuilder() {
+      return getFilterSplitFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.FilterSplitOrBuilder getFilterSplitOrBuilder() {
+      if ((splitCase_ == 3) && (filterSplitBuilder_ != null)) {
+        return filterSplitBuilder_.getMessageOrBuilder();
+      } else {
+        if (splitCase_ == 3) {
+          return (com.google.cloud.aiplatform.v1.FilterSplit) split_;
+        }
+        return com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Split based on the provided filters for each set.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.FilterSplit,
+            com.google.cloud.aiplatform.v1.FilterSplit.Builder,
+            com.google.cloud.aiplatform.v1.FilterSplitOrBuilder>
+        getFilterSplitFieldBuilder() {
+      if (filterSplitBuilder_ == null) {
+        if (!(splitCase_ == 3)) {
+          split_ = com.google.cloud.aiplatform.v1.FilterSplit.getDefaultInstance();
+        }
+        filterSplitBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.FilterSplit,
+                com.google.cloud.aiplatform.v1.FilterSplit.Builder,
+                com.google.cloud.aiplatform.v1.FilterSplitOrBuilder>(
+                (com.google.cloud.aiplatform.v1.FilterSplit) split_,
+                getParentForChildren(),
+                isClean());
+        split_ = null;
+      }
+      splitCase_ = 3;
+      onChanged();
+      ;
+      return filterSplitBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.PredefinedSplit,
+            com.google.cloud.aiplatform.v1.PredefinedSplit.Builder,
+            com.google.cloud.aiplatform.v1.PredefinedSplitOrBuilder>
+        predefinedSplitBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     *
+     * @return Whether the predefinedSplit field is set.
+     */
+    @java.lang.Override
+    public boolean hasPredefinedSplit() {
+      return splitCase_ == 4;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     *
+     * @return The predefinedSplit.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredefinedSplit getPredefinedSplit() {
+      if (predefinedSplitBuilder_ == null) {
+        if (splitCase_ == 4) {
+          return (com.google.cloud.aiplatform.v1.PredefinedSplit) split_;
+        }
+        return com.google.cloud.aiplatform.v1.PredefinedSplit.getDefaultInstance();
+      } else {
+        if (splitCase_ == 4) {
+          return predefinedSplitBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.PredefinedSplit.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     */
+    public Builder setPredefinedSplit(com.google.cloud.aiplatform.v1.PredefinedSplit value) {
+      if (predefinedSplitBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        split_ = value;
+        onChanged();
+      } else {
+        predefinedSplitBuilder_.setMessage(value);
+      }
+      splitCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     */
+    public Builder setPredefinedSplit(
+        com.google.cloud.aiplatform.v1.PredefinedSplit.Builder builderForValue) {
+      if (predefinedSplitBuilder_ == null) {
+        split_ = builderForValue.build();
+        onChanged();
+      } else {
+        predefinedSplitBuilder_.setMessage(builderForValue.build());
+      }
+      splitCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     */
+    public Builder mergePredefinedSplit(com.google.cloud.aiplatform.v1.PredefinedSplit value) {
+      if (predefinedSplitBuilder_ == null) {
+        if (splitCase_ == 4
+            && split_ != com.google.cloud.aiplatform.v1.PredefinedSplit.getDefaultInstance()) {
+          split_ =
+              com.google.cloud.aiplatform.v1.PredefinedSplit.newBuilder(
+                      (com.google.cloud.aiplatform.v1.PredefinedSplit) split_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          split_ = value;
+        }
+        onChanged();
+      } else {
+        if (splitCase_ == 4) {
+          predefinedSplitBuilder_.mergeFrom(value);
+        }
+        predefinedSplitBuilder_.setMessage(value);
+      }
+      splitCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     */
+    public Builder clearPredefinedSplit() {
+      if (predefinedSplitBuilder_ == null) {
+        if (splitCase_ == 4) {
+          splitCase_ = 0;
+          split_ = null;
+          onChanged();
+        }
+      } else {
+        if (splitCase_ == 4) {
+          splitCase_ = 0;
+          split_ = null;
+        }
+        predefinedSplitBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.PredefinedSplit.Builder getPredefinedSplitBuilder() {
+      return getPredefinedSplitFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredefinedSplitOrBuilder getPredefinedSplitOrBuilder() {
+      if ((splitCase_ == 4) && (predefinedSplitBuilder_ != null)) {
+        return predefinedSplitBuilder_.getMessageOrBuilder();
+      } else {
+        if (splitCase_ == 4) {
+          return (com.google.cloud.aiplatform.v1.PredefinedSplit) split_;
+        }
+        return com.google.cloud.aiplatform.v1.PredefinedSplit.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on a predefined key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.PredefinedSplit,
+            com.google.cloud.aiplatform.v1.PredefinedSplit.Builder,
+            com.google.cloud.aiplatform.v1.PredefinedSplitOrBuilder>
+        getPredefinedSplitFieldBuilder() {
+      if (predefinedSplitBuilder_ == null) {
+        if (!(splitCase_ == 4)) {
+          split_ = com.google.cloud.aiplatform.v1.PredefinedSplit.getDefaultInstance();
+        }
+        predefinedSplitBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.PredefinedSplit,
+                com.google.cloud.aiplatform.v1.PredefinedSplit.Builder,
+                com.google.cloud.aiplatform.v1.PredefinedSplitOrBuilder>(
+                (com.google.cloud.aiplatform.v1.PredefinedSplit) split_,
+                getParentForChildren(),
+                isClean());
+        split_ = null;
+      }
+      splitCase_ = 4;
+      onChanged();
+      ;
+      return predefinedSplitBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.TimestampSplit,
+            com.google.cloud.aiplatform.v1.TimestampSplit.Builder,
+            com.google.cloud.aiplatform.v1.TimestampSplitOrBuilder>
+        timestampSplitBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     *
+     * @return Whether the timestampSplit field is set.
+     */
+    @java.lang.Override
+    public boolean hasTimestampSplit() {
+      return splitCase_ == 5;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     *
+     * @return The timestampSplit.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TimestampSplit getTimestampSplit() {
+      if (timestampSplitBuilder_ == null) {
+        if (splitCase_ == 5) {
+          return (com.google.cloud.aiplatform.v1.TimestampSplit) split_;
+        }
+        return com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance();
+      } else {
+        if (splitCase_ == 5) {
+          return timestampSplitBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     */
+    public Builder setTimestampSplit(com.google.cloud.aiplatform.v1.TimestampSplit value) {
+      if (timestampSplitBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        split_ = value;
+        onChanged();
+      } else {
+        timestampSplitBuilder_.setMessage(value);
+      }
+      splitCase_ = 5;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     */
+    public Builder setTimestampSplit(
+        com.google.cloud.aiplatform.v1.TimestampSplit.Builder builderForValue) {
+      if (timestampSplitBuilder_ == null) {
+        split_ = builderForValue.build();
+        onChanged();
+      } else {
+        timestampSplitBuilder_.setMessage(builderForValue.build());
+      }
+      splitCase_ = 5;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     */
+    public Builder mergeTimestampSplit(com.google.cloud.aiplatform.v1.TimestampSplit value) {
+      if (timestampSplitBuilder_ == null) {
+        if (splitCase_ == 5
+            && split_ != com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance()) {
+          split_ =
+              com.google.cloud.aiplatform.v1.TimestampSplit.newBuilder(
+                      (com.google.cloud.aiplatform.v1.TimestampSplit) split_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          split_ = value;
+        }
+        onChanged();
+      } else {
+        if (splitCase_ == 5) {
+          timestampSplitBuilder_.mergeFrom(value);
+        }
+        timestampSplitBuilder_.setMessage(value);
+      }
+      splitCase_ = 5;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     */
+    public Builder clearTimestampSplit() {
+      if (timestampSplitBuilder_ == null) {
+        if (splitCase_ == 5) {
+          splitCase_ = 0;
+          split_ = null;
+          onChanged();
+        }
+      } else {
+        if (splitCase_ == 5) {
+          splitCase_ = 0;
+          split_ = null;
+        }
+        timestampSplitBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     */
+    public com.google.cloud.aiplatform.v1.TimestampSplit.Builder getTimestampSplitBuilder() {
+      return getTimestampSplitFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TimestampSplitOrBuilder getTimestampSplitOrBuilder() {
+      if ((splitCase_ == 5) && (timestampSplitBuilder_ != null)) {
+        return timestampSplitBuilder_.getMessageOrBuilder();
+      } else {
+        if (splitCase_ == 5) {
+          return (com.google.cloud.aiplatform.v1.TimestampSplit) split_;
+        }
+        return com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported only for tabular Datasets.
+     * Split based on the timestamp of the input data pieces.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.TimestampSplit,
+            com.google.cloud.aiplatform.v1.TimestampSplit.Builder,
+            com.google.cloud.aiplatform.v1.TimestampSplitOrBuilder>
+        getTimestampSplitFieldBuilder() {
+      if (timestampSplitBuilder_ == null) {
+        if (!(splitCase_ == 5)) {
+          split_ = com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance();
+        }
+        timestampSplitBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.TimestampSplit,
+                com.google.cloud.aiplatform.v1.TimestampSplit.Builder,
+                com.google.cloud.aiplatform.v1.TimestampSplitOrBuilder>(
+                (com.google.cloud.aiplatform.v1.TimestampSplit) split_,
+                getParentForChildren(),
+                isClean());
+        split_ = null;
+      }
+      splitCase_ = 5;
+      onChanged();
+      ;
+      return timestampSplitBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GcsDestination,
+            com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+            com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+        gcsDestinationBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     *
+     * @return Whether the gcsDestination field is set.
+     */
+    @java.lang.Override
+    public boolean hasGcsDestination() {
+      return destinationCase_ == 8;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     *
+     * @return The gcsDestination.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination() {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 8) {
+          return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+        }
+        return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 8) {
+          return gcsDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     */
+    public Builder setGcsDestination(com.google.cloud.aiplatform.v1.GcsDestination value) {
+      if (gcsDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        gcsDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     */
+    public Builder setGcsDestination(
+        com.google.cloud.aiplatform.v1.GcsDestination.Builder builderForValue) {
+      if (gcsDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        gcsDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     */
+    public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1.GcsDestination value) {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 8
+            && destination_ != com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.aiplatform.v1.GcsDestination.newBuilder(
+                      (com.google.cloud.aiplatform.v1.GcsDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 8) {
+          gcsDestinationBuilder_.mergeFrom(value);
+        }
+        gcsDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 8;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     */
+    public Builder clearGcsDestination() {
+      if (gcsDestinationBuilder_ == null) {
+        if (destinationCase_ == 8) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 8) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        gcsDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GcsDestination.Builder getGcsDestinationBuilder() {
+      return getGcsDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder() {
+      if ((destinationCase_ == 8) && (gcsDestinationBuilder_ != null)) {
+        return gcsDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 8) {
+          return (com.google.cloud.aiplatform.v1.GcsDestination) destination_;
+        }
+        return com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
+     * name:
+     * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
+     * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+     * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+     * * AIP_TRAINING_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+     * * AIP_VALIDATION_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+     * * AIP_TEST_DATA_URI =
+     * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GcsDestination,
+            com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+            com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
+        getGcsDestinationFieldBuilder() {
+      if (gcsDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 8)) {
+          destination_ = com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance();
+        }
+        gcsDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GcsDestination,
+                com.google.cloud.aiplatform.v1.GcsDestination.Builder,
+                com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>(
+                (com.google.cloud.aiplatform.v1.GcsDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 8;
+      onChanged();
+      ;
+      return gcsDestinationBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BigQueryDestination,
+            com.google.cloud.aiplatform.v1.BigQueryDestination.Builder,
+            com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder>
+        bigqueryDestinationBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     *
+     * @return Whether the bigqueryDestination field is set.
+     */
+    @java.lang.Override
+    public boolean hasBigqueryDestination() {
+      return destinationCase_ == 10;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     *
+     * @return The bigqueryDestination.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 10) {
+          return (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_;
+        }
+        return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+      } else {
+        if (destinationCase_ == 10) {
+          return bigqueryDestinationBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     */
+    public Builder setBigqueryDestination(
+        com.google.cloud.aiplatform.v1.BigQueryDestination value) {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        destination_ = value;
+        onChanged();
+      } else {
+        bigqueryDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     */
+    public Builder setBigqueryDestination(
+        com.google.cloud.aiplatform.v1.BigQueryDestination.Builder builderForValue) {
+      if (bigqueryDestinationBuilder_ == null) {
+        destination_ = builderForValue.build();
+        onChanged();
+      } else {
+        bigqueryDestinationBuilder_.setMessage(builderForValue.build());
+      }
+      destinationCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     */
+    public Builder mergeBigqueryDestination(
+        com.google.cloud.aiplatform.v1.BigQueryDestination value) {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 10
+            && destination_
+                != com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance()) {
+          destination_ =
+              com.google.cloud.aiplatform.v1.BigQueryDestination.newBuilder(
+                      (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          destination_ = value;
+        }
+        onChanged();
+      } else {
+        if (destinationCase_ == 10) {
+          bigqueryDestinationBuilder_.mergeFrom(value);
+        }
+        bigqueryDestinationBuilder_.setMessage(value);
+      }
+      destinationCase_ = 10;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     */
+    public Builder clearBigqueryDestination() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (destinationCase_ == 10) {
+          destinationCase_ = 0;
+          destination_ = null;
+          onChanged();
+        }
+      } else {
+        if (destinationCase_ == 10) {
+          destinationCase_ = 0;
+          destination_ = null;
+        }
+        bigqueryDestinationBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     */
+    public com.google.cloud.aiplatform.v1.BigQueryDestination.Builder
+        getBigqueryDestinationBuilder() {
+      return getBigqueryDestinationFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder
+        getBigqueryDestinationOrBuilder() {
+      if ((destinationCase_ == 10) && (bigqueryDestinationBuilder_ != null)) {
+        return bigqueryDestinationBuilder_.getMessageOrBuilder();
+      } else {
+        if (destinationCase_ == 10) {
+          return (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_;
+        }
+        return com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
+     * The BigQuery project location where the training data is to be written
+     * to. In the given project a new dataset is created with name
+     * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+     * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
+     * * AIP_DATA_FORMAT = "bigquery".
+     * * AIP_TRAINING_DATA_URI  =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+     * * AIP_VALIDATION_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+     * * AIP_TEST_DATA_URI =
+     * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BigQueryDestination,
+            com.google.cloud.aiplatform.v1.BigQueryDestination.Builder,
+            com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder>
+        getBigqueryDestinationFieldBuilder() {
+      if (bigqueryDestinationBuilder_ == null) {
+        if (!(destinationCase_ == 10)) {
+          destination_ = com.google.cloud.aiplatform.v1.BigQueryDestination.getDefaultInstance();
+        }
+        bigqueryDestinationBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BigQueryDestination,
+                com.google.cloud.aiplatform.v1.BigQueryDestination.Builder,
+                com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder>(
+                (com.google.cloud.aiplatform.v1.BigQueryDestination) destination_,
+                getParentForChildren(),
+                isClean());
+        destination_ = null;
+      }
+      destinationCase_ = 10;
+      onChanged();
+      ;
+      return bigqueryDestinationBuilder_;
+    }
+
+    private java.lang.Object datasetId_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the Dataset in the same Project and Location which data will be
+     * used to train the Model. The Dataset must use schema compatible with
+     * Model being trained, and what is compatible should be described in the
+     * used TrainingPipeline's [training_task_definition]
+     * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+     * For tabular Datasets, all their data is exported to training, to pick
+     * and choose from.
+     * </pre>
+     *
+     * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The datasetId.
+     */
+    public java.lang.String getDatasetId() {
+      java.lang.Object ref = datasetId_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        datasetId_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the Dataset in the same Project and Location which data will be
+     * used to train the Model. The Dataset must use schema compatible with
+     * Model being trained, and what is compatible should be described in the
+     * used TrainingPipeline's [training_task_definition]
+     * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+     * For tabular Datasets, all their data is exported to training, to pick
+     * and choose from.
+     * </pre>
+     *
+     * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for datasetId.
+     */
+    public com.google.protobuf.ByteString getDatasetIdBytes() {
+      java.lang.Object ref = datasetId_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        datasetId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the Dataset in the same Project and Location which data will be
+     * used to train the Model. The Dataset must use schema compatible with
+     * Model being trained, and what is compatible should be described in the
+     * used TrainingPipeline's [training_task_definition]
+     * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+     * For tabular Datasets, all their data is exported to training, to pick
+     * and choose from.
+     * </pre>
+     *
+     * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The datasetId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDatasetId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      datasetId_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the Dataset in the same Project and Location which data will be
+     * used to train the Model. The Dataset must use schema compatible with
+     * Model being trained, and what is compatible should be described in the
+     * used TrainingPipeline's [training_task_definition]
+     * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+     * For tabular Datasets, all their data is exported to training, to pick
+     * and choose from.
+     * </pre>
+     *
+     * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDatasetId() {
+
+      datasetId_ = getDefaultInstance().getDatasetId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the Dataset in the same Project and Location which data will be
+     * used to train the Model. The Dataset must use schema compatible with
+     * Model being trained, and what is compatible should be described in the
+     * used TrainingPipeline's [training_task_definition]
+     * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+     * For tabular Datasets, all their data is exported to training, to pick
+     * and choose from.
+     * </pre>
+     *
+     * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for datasetId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDatasetIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      datasetId_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object annotationsFilter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to Datasets that have DataItems and Annotations.
+     * A filter on Annotations of the Dataset. Only Annotations that both
+     * match this filter and belong to DataItems not ignored by the split method
+     * are used in respectively training, validation or test role, depending on
+     * the role of the DataItem they are on (for the auto-assigned that role is
+     * decided by AI Platform). A filter with same syntax as the one used in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+     * here it filters across all Annotations of the Dataset, and not just within
+     * a single DataItem.
+     * </pre>
+     *
+     * <code>string annotations_filter = 6;</code>
+     *
+     * @return The annotationsFilter.
+     */
+    public java.lang.String getAnnotationsFilter() {
+      java.lang.Object ref = annotationsFilter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        annotationsFilter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to Datasets that have DataItems and Annotations.
+     * A filter on Annotations of the Dataset. Only Annotations that both
+     * match this filter and belong to DataItems not ignored by the split method
+     * are used in respectively training, validation or test role, depending on
+     * the role of the DataItem they are on (for the auto-assigned that role is
+     * decided by AI Platform). A filter with same syntax as the one used in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+     * here it filters across all Annotations of the Dataset, and not just within
+     * a single DataItem.
+     * </pre>
+     *
+     * <code>string annotations_filter = 6;</code>
+     *
+     * @return The bytes for annotationsFilter.
+     */
+    public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
+      java.lang.Object ref = annotationsFilter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        annotationsFilter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to Datasets that have DataItems and Annotations.
+     * A filter on Annotations of the Dataset. Only Annotations that both
+     * match this filter and belong to DataItems not ignored by the split method
+     * are used in respectively training, validation or test role, depending on
+     * the role of the DataItem they are on (for the auto-assigned that role is
+     * decided by AI Platform). A filter with same syntax as the one used in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+     * here it filters across all Annotations of the Dataset, and not just within
+     * a single DataItem.
+     * </pre>
+     *
+     * <code>string annotations_filter = 6;</code>
+     *
+     * @param value The annotationsFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAnnotationsFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      annotationsFilter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to Datasets that have DataItems and Annotations.
+     * A filter on Annotations of the Dataset. Only Annotations that both
+     * match this filter and belong to DataItems not ignored by the split method
+     * are used in respectively training, validation or test role, depending on
+     * the role of the DataItem they are on (for the auto-assigned that role is
+     * decided by AI Platform). A filter with same syntax as the one used in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+     * here it filters across all Annotations of the Dataset, and not just within
+     * a single DataItem.
+     * </pre>
+     *
+     * <code>string annotations_filter = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearAnnotationsFilter() {
+
+      annotationsFilter_ = getDefaultInstance().getAnnotationsFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to Datasets that have DataItems and Annotations.
+     * A filter on Annotations of the Dataset. Only Annotations that both
+     * match this filter and belong to DataItems not ignored by the split method
+     * are used in respectively training, validation or test role, depending on
+     * the role of the DataItem they are on (for the auto-assigned that role is
+     * decided by AI Platform). A filter with same syntax as the one used in
+     * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+     * here it filters across all Annotations of the Dataset, and not just within
+     * a single DataItem.
+     * </pre>
+     *
+     * <code>string annotations_filter = 6;</code>
+     *
+     * @param value The bytes for annotationsFilter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAnnotationsFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      annotationsFilter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object annotationSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * chosen schema must be consistent with
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+     * Only Annotations that both match this schema and belong to DataItems not
+     * ignored by the split method are used in respectively training, validation
+     * or test role, depending on the role of the DataItem they are on.
+     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+     * </pre>
+     *
+     * <code>string annotation_schema_uri = 9;</code>
+     *
+     * @return The annotationSchemaUri.
+     */
+    public java.lang.String getAnnotationSchemaUri() {
+      java.lang.Object ref = annotationSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        annotationSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * chosen schema must be consistent with
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+     * Only Annotations that both match this schema and belong to DataItems not
+     * ignored by the split method are used in respectively training, validation
+     * or test role, depending on the role of the DataItem they are on.
+     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+     * </pre>
+     *
+     * <code>string annotation_schema_uri = 9;</code>
+     *
+     * @return The bytes for annotationSchemaUri.
+     */
+    public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
+      java.lang.Object ref = annotationSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        annotationSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * chosen schema must be consistent with
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+     * Only Annotations that both match this schema and belong to DataItems not
+     * ignored by the split method are used in respectively training, validation
+     * or test role, depending on the role of the DataItem they are on.
+     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+     * </pre>
+     *
+     * <code>string annotation_schema_uri = 9;</code>
+     *
+     * @param value The annotationSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAnnotationSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      annotationSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * chosen schema must be consistent with
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+     * Only Annotations that both match this schema and belong to DataItems not
+     * ignored by the split method are used in respectively training, validation
+     * or test role, depending on the role of the DataItem they are on.
+     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+     * </pre>
+     *
+     * <code>string annotation_schema_uri = 9;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearAnnotationSchemaUri() {
+
+      annotationSchemaUri_ = getDefaultInstance().getAnnotationSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * The schema files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * chosen schema must be consistent with
+     * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+     * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+     * Only Annotations that both match this schema and belong to DataItems not
+     * ignored by the split method are used in respectively training, validation
+     * or test role, depending on the role of the DataItem they are on.
+     * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+     * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+     * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+     * </pre>
+     *
+     * <code>string annotation_schema_uri = 9;</code>
+     *
+     * @param value The bytes for annotationSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAnnotationSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      annotationSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.InputDataConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.InputDataConfig)
+  private static final com.google.cloud.aiplatform.v1.InputDataConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.InputDataConfig();
+  }
+
+  public static com.google.cloud.aiplatform.v1.InputDataConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<InputDataConfig> PARSER =
+      new com.google.protobuf.AbstractParser<InputDataConfig>() {
+        @java.lang.Override
+        public InputDataConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new InputDataConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<InputDataConfig> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<InputDataConfig> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.InputDataConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfigOrBuilder.java
new file mode 100644
index 000000000..be255d805
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/InputDataConfigOrBuilder.java
@@ -0,0 +1,465 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface InputDataConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.InputDataConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Split based on fractions defining the size of each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FractionSplit fraction_split = 2;</code>
+   *
+   * @return Whether the fractionSplit field is set.
+   */
+  boolean hasFractionSplit();
+  /**
+   *
+   *
+   * <pre>
+   * Split based on fractions defining the size of each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FractionSplit fraction_split = 2;</code>
+   *
+   * @return The fractionSplit.
+   */
+  com.google.cloud.aiplatform.v1.FractionSplit getFractionSplit();
+  /**
+   *
+   *
+   * <pre>
+   * Split based on fractions defining the size of each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FractionSplit fraction_split = 2;</code>
+   */
+  com.google.cloud.aiplatform.v1.FractionSplitOrBuilder getFractionSplitOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Split based on the provided filters for each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+   *
+   * @return Whether the filterSplit field is set.
+   */
+  boolean hasFilterSplit();
+  /**
+   *
+   *
+   * <pre>
+   * Split based on the provided filters for each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+   *
+   * @return The filterSplit.
+   */
+  com.google.cloud.aiplatform.v1.FilterSplit getFilterSplit();
+  /**
+   *
+   *
+   * <pre>
+   * Split based on the provided filters for each set.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.FilterSplit filter_split = 3;</code>
+   */
+  com.google.cloud.aiplatform.v1.FilterSplitOrBuilder getFilterSplitOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on a predefined key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+   *
+   * @return Whether the predefinedSplit field is set.
+   */
+  boolean hasPredefinedSplit();
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on a predefined key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+   *
+   * @return The predefinedSplit.
+   */
+  com.google.cloud.aiplatform.v1.PredefinedSplit getPredefinedSplit();
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on a predefined key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredefinedSplit predefined_split = 4;</code>
+   */
+  com.google.cloud.aiplatform.v1.PredefinedSplitOrBuilder getPredefinedSplitOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on the timestamp of the input data pieces.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+   *
+   * @return Whether the timestampSplit field is set.
+   */
+  boolean hasTimestampSplit();
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on the timestamp of the input data pieces.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+   *
+   * @return The timestampSplit.
+   */
+  com.google.cloud.aiplatform.v1.TimestampSplit getTimestampSplit();
+  /**
+   *
+   *
+   * <pre>
+   * Supported only for tabular Datasets.
+   * Split based on the timestamp of the input data pieces.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.TimestampSplit timestamp_split = 5;</code>
+   */
+  com.google.cloud.aiplatform.v1.TimestampSplitOrBuilder getTimestampSplitOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
+   * name:
+   * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
+   * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+   * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+   * * AIP_TRAINING_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+   * * AIP_VALIDATION_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+   * * AIP_TEST_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+   *
+   * @return Whether the gcsDestination field is set.
+   */
+  boolean hasGcsDestination();
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
+   * name:
+   * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
+   * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+   * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+   * * AIP_TRAINING_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+   * * AIP_VALIDATION_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+   * * AIP_TEST_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+   *
+   * @return The gcsDestination.
+   */
+  com.google.cloud.aiplatform.v1.GcsDestination getGcsDestination();
+  /**
+   *
+   *
+   * <pre>
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
+   * name:
+   * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
+   * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+   * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+   * * AIP_TRAINING_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
+   * * AIP_VALIDATION_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
+   * * AIP_TEST_DATA_URI =
+   * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/test-*.${AIP_DATA_FORMAT}"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 8;</code>
+   */
+  com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getGcsDestinationOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
+   * The BigQuery project location where the training data is to be written
+   * to. In the given project a new dataset is created with name
+   * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
+   * * AIP_DATA_FORMAT = "bigquery".
+   * * AIP_TRAINING_DATA_URI  =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+   * * AIP_VALIDATION_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+   * * AIP_TEST_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+   *
+   * @return Whether the bigqueryDestination field is set.
+   */
+  boolean hasBigqueryDestination();
+  /**
+   *
+   *
+   * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
+   * The BigQuery project location where the training data is to be written
+   * to. In the given project a new dataset is created with name
+   * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
+   * * AIP_DATA_FORMAT = "bigquery".
+   * * AIP_TRAINING_DATA_URI  =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+   * * AIP_VALIDATION_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+   * * AIP_TEST_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+   *
+   * @return The bigqueryDestination.
+   */
+  com.google.cloud.aiplatform.v1.BigQueryDestination getBigqueryDestination();
+  /**
+   *
+   *
+   * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
+   * The BigQuery project location where the training data is to be written
+   * to. In the given project a new dataset is created with name
+   * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
+   * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
+   * * AIP_DATA_FORMAT = "bigquery".
+   * * AIP_TRAINING_DATA_URI  =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
+   * * AIP_VALIDATION_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.validation"
+   * * AIP_TEST_DATA_URI =
+   * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.test"
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 10;</code>
+   */
+  com.google.cloud.aiplatform.v1.BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The ID of the Dataset in the same Project and Location which data will be
+   * used to train the Model. The Dataset must use schema compatible with
+   * Model being trained, and what is compatible should be described in the
+   * used TrainingPipeline's [training_task_definition]
+   * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+   * For tabular Datasets, all their data is exported to training, to pick
+   * and choose from.
+   * </pre>
+   *
+   * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The datasetId.
+   */
+  java.lang.String getDatasetId();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The ID of the Dataset in the same Project and Location which data will be
+   * used to train the Model. The Dataset must use schema compatible with
+   * Model being trained, and what is compatible should be described in the
+   * used TrainingPipeline's [training_task_definition]
+   * [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+   * For tabular Datasets, all their data is exported to training, to pick
+   * and choose from.
+   * </pre>
+   *
+   * <code>string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for datasetId.
+   */
+  com.google.protobuf.ByteString getDatasetIdBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Applicable only to Datasets that have DataItems and Annotations.
+   * A filter on Annotations of the Dataset. Only Annotations that both
+   * match this filter and belong to DataItems not ignored by the split method
+   * are used in respectively training, validation or test role, depending on
+   * the role of the DataItem they are on (for the auto-assigned that role is
+   * decided by AI Platform). A filter with same syntax as the one used in
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+   * here it filters across all Annotations of the Dataset, and not just within
+   * a single DataItem.
+   * </pre>
+   *
+   * <code>string annotations_filter = 6;</code>
+   *
+   * @return The annotationsFilter.
+   */
+  java.lang.String getAnnotationsFilter();
+  /**
+   *
+   *
+   * <pre>
+   * Applicable only to Datasets that have DataItems and Annotations.
+   * A filter on Annotations of the Dataset. Only Annotations that both
+   * match this filter and belong to DataItems not ignored by the split method
+   * are used in respectively training, validation or test role, depending on
+   * the role of the DataItem they are on (for the auto-assigned that role is
+   * decided by AI Platform). A filter with same syntax as the one used in
+   * [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+   * here it filters across all Annotations of the Dataset, and not just within
+   * a single DataItem.
+   * </pre>
+   *
+   * <code>string annotations_filter = 6;</code>
+   *
+   * @return The bytes for annotationsFilter.
+   */
+  com.google.protobuf.ByteString getAnnotationsFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+   * chosen schema must be consistent with
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+   * Only Annotations that both match this schema and belong to DataItems not
+   * ignored by the split method are used in respectively training, validation
+   * or test role, depending on the role of the DataItem they are on.
+   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+   * </pre>
+   *
+   * <code>string annotation_schema_uri = 9;</code>
+   *
+   * @return The annotationSchemaUri.
+   */
+  java.lang.String getAnnotationSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * The schema files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+   * chosen schema must be consistent with
+   * [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+   * [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+   * Only Annotations that both match this schema and belong to DataItems not
+   * ignored by the split method are used in respectively training, validation
+   * or test role, depending on the role of the DataItem they are on.
+   * When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+   * for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+   * [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+   * </pre>
+   *
+   * <code>string annotation_schema_uri = 9;</code>
+   *
+   * @return The bytes for annotationSchemaUri.
+   */
+  com.google.protobuf.ByteString getAnnotationSchemaUriBytes();
+
+  public com.google.cloud.aiplatform.v1.InputDataConfig.SplitCase getSplitCase();
+
+  public com.google.cloud.aiplatform.v1.InputDataConfig.DestinationCase getDestinationCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IoProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IoProto.java
new file mode 100644
index 000000000..919b3a877
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/IoProto.java
@@ -0,0 +1,129 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/io.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class IoProto {
+  private IoProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GcsSource_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GcsSource_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GcsDestination_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GcsDestination_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BigQuerySource_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BigQuerySource_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BigQueryDestination_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BigQueryDestination_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n#google/cloud/aiplatform/v1/io.proto\022\032g"
+          + "oogle.cloud.aiplatform.v1\032\037google/api/fi"
+          + "eld_behavior.proto\032\034google/api/annotatio"
+          + "ns.proto\"\036\n\tGcsSource\022\021\n\004uris\030\001 \003(\tB\003\340A\002"
+          + "\"0\n\016GcsDestination\022\036\n\021output_uri_prefix\030"
+          + "\001 \001(\tB\003\340A\002\"(\n\016BigQuerySource\022\026\n\tinput_ur"
+          + "i\030\001 \001(\tB\003\340A\002\".\n\023BigQueryDestination\022\027\n\no"
+          + "utput_uri\030\001 \001(\tB\003\340A\002\"7\n\034ContainerRegistr"
+          + "yDestination\022\027\n\noutput_uri\030\001 \001(\tB\003\340A\002Bq\n"
+          + "\036com.google.cloud.aiplatform.v1B\007IoProto"
+          + "P\001ZDgoogle.golang.org/genproto/googleapi"
+          + "s/cloud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_GcsSource_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_GcsSource_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GcsSource_descriptor,
+            new java.lang.String[] {
+              "Uris",
+            });
+    internal_static_google_cloud_aiplatform_v1_GcsDestination_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_GcsDestination_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GcsDestination_descriptor,
+            new java.lang.String[] {
+              "OutputUriPrefix",
+            });
+    internal_static_google_cloud_aiplatform_v1_BigQuerySource_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_BigQuerySource_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BigQuerySource_descriptor,
+            new java.lang.String[] {
+              "InputUri",
+            });
+    internal_static_google_cloud_aiplatform_v1_BigQueryDestination_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_BigQueryDestination_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BigQueryDestination_descriptor,
+            new java.lang.String[] {
+              "OutputUri",
+            });
+    internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ContainerRegistryDestination_descriptor,
+            new java.lang.String[] {
+              "OutputUri",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceProto.java
new file mode 100644
index 000000000..83571e7ae
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobServiceProto.java
@@ -0,0 +1,582 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class JobServiceProto {
+  private JobServiceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GetCustomJobRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GetCustomJobRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListCustomJobsRequest_descriptor;
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+      internal_static_google_cloud_aiplatform_v1_ListCustomJobsRequest_fieldAccessorTable;
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+      internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_fieldAccessorTable;
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+      internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_descriptor;
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+      internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_fieldAccessorTable;
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+          + "\026ListCustomJobsResponse\022:\n\013custom_jobs\030\001"
+          + " \003(\0132%.google.cloud.aiplatform.v1.Custom"
+          + "Job\022\027\n\017next_page_token\030\002 \001(\t\"S\n\026DeleteCu"
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+          + "tDataLabelingJobsResponse\022G\n\022data_labeli"
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+          + "v1.DataLabelingJob\022\027\n\017next_page_token\030\002 "
+          + "\001(\t\"_\n\034DeleteDataLabelingJobRequest\022?\n\004n"
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+          + "\n$CreateHyperparameterTuningJobRequest\0229"
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+          + "\tB9\340A\002\372A3\n1aiplatform.googleapis.com/Hyp"
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+          + "\037ListBatchPredictionJobsResponse\022M\n\025batc"
+          + "h_prediction_jobs\030\001 \003(\0132..google.cloud.a"
+          + "iplatform.v1.BatchPredictionJob\022\027\n\017next_"
+          + "page_token\030\002 \001(\t\"e\n\037DeleteBatchPredictio"
+          + "nJobRequest\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aipla"
+          + "tform.googleapis.com/BatchPredictionJob\""
+          + "e\n\037CancelBatchPredictionJobRequest\022B\n\004na"
+          + "me\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.googleapis."
+          + "com/BatchPredictionJob2\326\"\n\nJobService\022\304\001"
+          + "\n\017CreateCustomJob\0222.google.cloud.aiplatf"
+          + "orm.v1.CreateCustomJobRequest\032%.google.c"
+          + "loud.aiplatform.v1.CustomJob\"V\202\323\344\223\002<\"./v"
+          + "1/{parent=projects/*/locations/*}/custom"
+          + "Jobs:\ncustom_job\332A\021parent,custom_job\022\245\001\n"
+          + "\014GetCustomJob\022/.google.cloud.aiplatform."
+          + "v1.GetCustomJobRequest\032%.google.cloud.ai"
+          + "platform.v1.CustomJob\"=\202\323\344\223\0020\022./v1/{name"
+          + "=projects/*/locations/*/customJobs/*}\332A\004"
+          + "name\022\270\001\n\016ListCustomJobs\0221.google.cloud.a"
+          + "iplatform.v1.ListCustomJobsRequest\0322.goo"
+          + "gle.cloud.aiplatform.v1.ListCustomJobsRe"
+          + "sponse\"?\202\323\344\223\0020\022./v1/{parent=projects/*/l"
+          + "ocations/*}/customJobs\332A\006parent\022\326\001\n\017Dele"
+          + "teCustomJob\0222.google.cloud.aiplatform.v1"
+          + ".DeleteCustomJobRequest\032\035.google.longrun"
+          + "ning.Operation\"p\202\323\344\223\0020*./v1/{name=projec"
+          + "ts/*/locations/*/customJobs/*}\332A\004name\312A0"
+          + "\n\025google.protobuf.Empty\022\027DeleteOperation"
+          + "Metadata\022\246\001\n\017CancelCustomJob\0222.google.cl"
+          + "oud.aiplatform.v1.CancelCustomJobRequest"
+          + "\032\026.google.protobuf.Empty\"G\202\323\344\223\002:\"5/v1/{n"
+          + "ame=projects/*/locations/*/customJobs/*}"
+          + ":cancel:\001*\332A\004name\022\352\001\n\025CreateDataLabeling"
+          + "Job\0228.google.cloud.aiplatform.v1.CreateD"
+          + "ataLabelingJobRequest\032+.google.cloud.aip"
+          + "latform.v1.DataLabelingJob\"j\202\323\344\223\002I\"4/v1/"
+          + "{parent=projects/*/locations/*}/dataLabe"
+          + "lingJobs:\021data_labeling_job\332A\030parent,dat"
+          + "a_labeling_job\022\275\001\n\022GetDataLabelingJob\0225."
+          + "google.cloud.aiplatform.v1.GetDataLabeli"
+          + "ngJobRequest\032+.google.cloud.aiplatform.v"
+          + "1.DataLabelingJob\"C\202\323\344\223\0026\0224/v1/{name=pro"
+          + "jects/*/locations/*/dataLabelingJobs/*}\332"
+          + "A\004name\022\320\001\n\024ListDataLabelingJobs\0227.google"
+          + ".cloud.aiplatform.v1.ListDataLabelingJob"
+          + "sRequest\0328.google.cloud.aiplatform.v1.Li"
+          + "stDataLabelingJobsResponse\"E\202\323\344\223\0026\0224/v1/"
+          + "{parent=projects/*/locations/*}/dataLabe"
+          + "lingJobs\332A\006parent\022\350\001\n\025DeleteDataLabeling"
+          + "Job\0228.google.cloud.aiplatform.v1.DeleteD"
+          + "ataLabelingJobRequest\032\035.google.longrunni"
+          + "ng.Operation\"v\202\323\344\223\0026*4/v1/{name=projects"
+          + "/*/locations/*/dataLabelingJobs/*}\332A\004nam"
+          + "e\312A0\n\025google.protobuf.Empty\022\027DeleteOpera"
+          + "tionMetadata\022\270\001\n\025CancelDataLabelingJob\0228"
+          + ".google.cloud.aiplatform.v1.CancelDataLa"
+          + "belingJobRequest\032\026.google.protobuf.Empty"
+          + "\"M\202\323\344\223\002@\";/v1/{name=projects/*/locations"
+          + "/*/dataLabelingJobs/*}:cancel:\001*\332A\004name\022"
+          + "\233\002\n\035CreateHyperparameterTuningJob\022@.goog"
+          + "le.cloud.aiplatform.v1.CreateHyperparame"
+          + "terTuningJobRequest\0323.google.cloud.aipla"
+          + "tform.v1.HyperparameterTuningJob\"\202\001\202\323\344\223\002"
+          + "Y\"</v1/{parent=projects/*/locations/*}/h"
+          + "yperparameterTuningJobs:\031hyperparameter_"
+          + "tuning_job\332A parent,hyperparameter_tunin"
+          + "g_job\022\335\001\n\032GetHyperparameterTuningJob\022=.g"
+          + "oogle.cloud.aiplatform.v1.GetHyperparame"
+          + "terTuningJobRequest\0323.google.cloud.aipla"
+          + "tform.v1.HyperparameterTuningJob\"K\202\323\344\223\002>"
+          + "\022</v1/{name=projects/*/locations/*/hyper"
+          + "parameterTuningJobs/*}\332A\004name\022\360\001\n\034ListHy"
+          + "perparameterTuningJobs\022?.google.cloud.ai"
+          + "platform.v1.ListHyperparameterTuningJobs"
+          + "Request\032@.google.cloud.aiplatform.v1.Lis"
+          + "tHyperparameterTuningJobsResponse\"M\202\323\344\223\002"
+          + ">\022</v1/{parent=projects/*/locations/*}/h"
+          + "yperparameterTuningJobs\332A\006parent\022\200\002\n\035Del"
+          + "eteHyperparameterTuningJob\022@.google.clou"
+          + "d.aiplatform.v1.DeleteHyperparameterTuni"
+          + "ngJobRequest\032\035.google.longrunning.Operat"
+          + "ion\"~\202\323\344\223\002>*</v1/{name=projects/*/locati"
+          + "ons/*/hyperparameterTuningJobs/*}\332A\004name"
+          + "\312A0\n\025google.protobuf.Empty\022\027DeleteOperat"
+          + "ionMetadata\022\320\001\n\035CancelHyperparameterTuni"
+          + "ngJob\022@.google.cloud.aiplatform.v1.Cance"
+          + "lHyperparameterTuningJobRequest\032\026.google"
+          + ".protobuf.Empty\"U\202\323\344\223\002H\"C/v1/{name=proje"
+          + "cts/*/locations/*/hyperparameterTuningJo"
+          + "bs/*}:cancel:\001*\332A\004name\022\374\001\n\030CreateBatchPr"
+          + "edictionJob\022;.google.cloud.aiplatform.v1"
+          + ".CreateBatchPredictionJobRequest\032..googl"
+          + "e.cloud.aiplatform.v1.BatchPredictionJob"
+          + "\"s\202\323\344\223\002O\"7/v1/{parent=projects/*/locatio"
+          + "ns/*}/batchPredictionJobs:\024batch_predict"
+          + "ion_job\332A\033parent,batch_prediction_job\022\311\001"
+          + "\n\025GetBatchPredictionJob\0228.google.cloud.a"
+          + "iplatform.v1.GetBatchPredictionJobReques"
+          + "t\032..google.cloud.aiplatform.v1.BatchPred"
+          + "ictionJob\"F\202\323\344\223\0029\0227/v1/{name=projects/*/"
+          + "locations/*/batchPredictionJobs/*}\332A\004nam"
+          + "e\022\334\001\n\027ListBatchPredictionJobs\022:.google.c"
+          + "loud.aiplatform.v1.ListBatchPredictionJo"
+          + "bsRequest\032;.google.cloud.aiplatform.v1.L"
+          + "istBatchPredictionJobsResponse\"H\202\323\344\223\0029\0227"
+          + "/v1/{parent=projects/*/locations/*}/batc"
+          + "hPredictionJobs\332A\006parent\022\361\001\n\030DeleteBatch"
+          + "PredictionJob\022;.google.cloud.aiplatform."
+          + "v1.DeleteBatchPredictionJobRequest\032\035.goo"
+          + "gle.longrunning.Operation\"y\202\323\344\223\0029*7/v1/{"
+          + "name=projects/*/locations/*/batchPredict"
+          + "ionJobs/*}\332A\004name\312A0\n\025google.protobuf.Em"
+          + "pty\022\027DeleteOperationMetadata\022\301\001\n\030CancelB"
+          + "atchPredictionJob\022;.google.cloud.aiplatf"
+          + "orm.v1.CancelBatchPredictionJobRequest\032\026"
+          + ".google.protobuf.Empty\"P\202\323\344\223\002C\">/v1/{nam"
+          + "e=projects/*/locations/*/batchPrediction"
+          + "Jobs/*}:cancel:\001*\332A\004name\032M\312A\031aiplatform."
+          + "googleapis.com\322A.https://www.googleapis."
+          + "com/auth/cloud-platformBy\n\036com.google.cl"
+          + "oud.aiplatform.v1B\017JobServiceProtoP\001ZDgo"
+          + "ogle.golang.org/genproto/googleapis/clou"
+          + "d/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+              com.google.api.ClientProto.getDescriptor(),
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.BatchPredictionJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.CustomJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.DataLabelingJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.HyperparameterTuningJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.OperationProto.getDescriptor(),
+              com.google.longrunning.OperationsProto.getDescriptor(),
+              com.google.protobuf.EmptyProto.getDescriptor(),
+              com.google.protobuf.FieldMaskProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateCustomJobRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "CustomJob",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetCustomJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_GetCustomJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetCustomJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListCustomJobsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_ListCustomJobsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListCustomJobsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_descriptor,
+            new java.lang.String[] {
+              "CustomJobs", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteCustomJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CancelCustomJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_CreateDataLabelingJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(6);
+    internal_static_google_cloud_aiplatform_v1_CreateDataLabelingJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateDataLabelingJobRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "DataLabelingJob",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetDataLabelingJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(7);
+    internal_static_google_cloud_aiplatform_v1_GetDataLabelingJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetDataLabelingJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(8);
+    internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask", "OrderBy",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(9);
+    internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsResponse_descriptor,
+            new java.lang.String[] {
+              "DataLabelingJobs", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteDataLabelingJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(10);
+    internal_static_google_cloud_aiplatform_v1_DeleteDataLabelingJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteDataLabelingJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_CancelDataLabelingJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(11);
+    internal_static_google_cloud_aiplatform_v1_CancelDataLabelingJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CancelDataLabelingJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_CreateHyperparameterTuningJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(12);
+    internal_static_google_cloud_aiplatform_v1_CreateHyperparameterTuningJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateHyperparameterTuningJobRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "HyperparameterTuningJob",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetHyperparameterTuningJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(13);
+    internal_static_google_cloud_aiplatform_v1_GetHyperparameterTuningJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetHyperparameterTuningJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(14);
+    internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(15);
+    internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsResponse_descriptor,
+            new java.lang.String[] {
+              "HyperparameterTuningJobs", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteHyperparameterTuningJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(16);
+    internal_static_google_cloud_aiplatform_v1_DeleteHyperparameterTuningJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteHyperparameterTuningJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_CancelHyperparameterTuningJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(17);
+    internal_static_google_cloud_aiplatform_v1_CancelHyperparameterTuningJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CancelHyperparameterTuningJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_CreateBatchPredictionJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(18);
+    internal_static_google_cloud_aiplatform_v1_CreateBatchPredictionJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateBatchPredictionJobRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "BatchPredictionJob",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetBatchPredictionJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(19);
+    internal_static_google_cloud_aiplatform_v1_GetBatchPredictionJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetBatchPredictionJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(20);
+    internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(21);
+    internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsResponse_descriptor,
+            new java.lang.String[] {
+              "BatchPredictionJobs", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteBatchPredictionJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(22);
+    internal_static_google_cloud_aiplatform_v1_DeleteBatchPredictionJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteBatchPredictionJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_CancelBatchPredictionJobRequest_descriptor =
+        getDescriptor().getMessageTypes().get(23);
+    internal_static_google_cloud_aiplatform_v1_CancelBatchPredictionJobRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CancelBatchPredictionJobRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.ClientProto.defaultHost);
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.AnnotationsProto.http);
+    registry.add(com.google.api.ClientProto.methodSignature);
+    registry.add(com.google.api.ClientProto.oauthScopes);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    registry.add(com.google.longrunning.OperationsProto.operationInfo);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.api.ClientProto.getDescriptor();
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.BatchPredictionJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.CustomJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.DataLabelingJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.HyperparameterTuningJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.OperationProto.getDescriptor();
+    com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.protobuf.EmptyProto.getDescriptor();
+    com.google.protobuf.FieldMaskProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobState.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobState.java
new file mode 100644
index 000000000..76591466f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobState.java
@@ -0,0 +1,310 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_state.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Describes the state of a job.
+ * </pre>
+ *
+ * Protobuf enum {@code google.cloud.aiplatform.v1.JobState}
+ */
+public enum JobState implements com.google.protobuf.ProtocolMessageEnum {
+  /**
+   *
+   *
+   * <pre>
+   * The job state is unspecified.
+   * </pre>
+   *
+   * <code>JOB_STATE_UNSPECIFIED = 0;</code>
+   */
+  JOB_STATE_UNSPECIFIED(0),
+  /**
+   *
+   *
+   * <pre>
+   * The job has been just created or resumed and processing has not yet begun.
+   * </pre>
+   *
+   * <code>JOB_STATE_QUEUED = 1;</code>
+   */
+  JOB_STATE_QUEUED(1),
+  /**
+   *
+   *
+   * <pre>
+   * The service is preparing to run the job.
+   * </pre>
+   *
+   * <code>JOB_STATE_PENDING = 2;</code>
+   */
+  JOB_STATE_PENDING(2),
+  /**
+   *
+   *
+   * <pre>
+   * The job is in progress.
+   * </pre>
+   *
+   * <code>JOB_STATE_RUNNING = 3;</code>
+   */
+  JOB_STATE_RUNNING(3),
+  /**
+   *
+   *
+   * <pre>
+   * The job completed successfully.
+   * </pre>
+   *
+   * <code>JOB_STATE_SUCCEEDED = 4;</code>
+   */
+  JOB_STATE_SUCCEEDED(4),
+  /**
+   *
+   *
+   * <pre>
+   * The job failed.
+   * </pre>
+   *
+   * <code>JOB_STATE_FAILED = 5;</code>
+   */
+  JOB_STATE_FAILED(5),
+  /**
+   *
+   *
+   * <pre>
+   * The job is being cancelled. From this state the job may only go to
+   * either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>JOB_STATE_CANCELLING = 6;</code>
+   */
+  JOB_STATE_CANCELLING(6),
+  /**
+   *
+   *
+   * <pre>
+   * The job has been cancelled.
+   * </pre>
+   *
+   * <code>JOB_STATE_CANCELLED = 7;</code>
+   */
+  JOB_STATE_CANCELLED(7),
+  /**
+   *
+   *
+   * <pre>
+   * The job has been stopped, and can be resumed.
+   * </pre>
+   *
+   * <code>JOB_STATE_PAUSED = 8;</code>
+   */
+  JOB_STATE_PAUSED(8),
+  UNRECOGNIZED(-1),
+  ;
+
+  /**
+   *
+   *
+   * <pre>
+   * The job state is unspecified.
+   * </pre>
+   *
+   * <code>JOB_STATE_UNSPECIFIED = 0;</code>
+   */
+  public static final int JOB_STATE_UNSPECIFIED_VALUE = 0;
+  /**
+   *
+   *
+   * <pre>
+   * The job has been just created or resumed and processing has not yet begun.
+   * </pre>
+   *
+   * <code>JOB_STATE_QUEUED = 1;</code>
+   */
+  public static final int JOB_STATE_QUEUED_VALUE = 1;
+  /**
+   *
+   *
+   * <pre>
+   * The service is preparing to run the job.
+   * </pre>
+   *
+   * <code>JOB_STATE_PENDING = 2;</code>
+   */
+  public static final int JOB_STATE_PENDING_VALUE = 2;
+  /**
+   *
+   *
+   * <pre>
+   * The job is in progress.
+   * </pre>
+   *
+   * <code>JOB_STATE_RUNNING = 3;</code>
+   */
+  public static final int JOB_STATE_RUNNING_VALUE = 3;
+  /**
+   *
+   *
+   * <pre>
+   * The job completed successfully.
+   * </pre>
+   *
+   * <code>JOB_STATE_SUCCEEDED = 4;</code>
+   */
+  public static final int JOB_STATE_SUCCEEDED_VALUE = 4;
+  /**
+   *
+   *
+   * <pre>
+   * The job failed.
+   * </pre>
+   *
+   * <code>JOB_STATE_FAILED = 5;</code>
+   */
+  public static final int JOB_STATE_FAILED_VALUE = 5;
+  /**
+   *
+   *
+   * <pre>
+   * The job is being cancelled. From this state the job may only go to
+   * either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>JOB_STATE_CANCELLING = 6;</code>
+   */
+  public static final int JOB_STATE_CANCELLING_VALUE = 6;
+  /**
+   *
+   *
+   * <pre>
+   * The job has been cancelled.
+   * </pre>
+   *
+   * <code>JOB_STATE_CANCELLED = 7;</code>
+   */
+  public static final int JOB_STATE_CANCELLED_VALUE = 7;
+  /**
+   *
+   *
+   * <pre>
+   * The job has been stopped, and can be resumed.
+   * </pre>
+   *
+   * <code>JOB_STATE_PAUSED = 8;</code>
+   */
+  public static final int JOB_STATE_PAUSED_VALUE = 8;
+
+  public final int getNumber() {
+    if (this == UNRECOGNIZED) {
+      throw new java.lang.IllegalArgumentException(
+          "Can't get the number of an unknown enum value.");
+    }
+    return value;
+  }
+
+  /**
+   * @param value The numeric wire value of the corresponding enum entry.
+   * @return The enum associated with the given numeric wire value.
+   * @deprecated Use {@link #forNumber(int)} instead.
+   */
+  @java.lang.Deprecated
+  public static JobState valueOf(int value) {
+    return forNumber(value);
+  }
+
+  /**
+   * @param value The numeric wire value of the corresponding enum entry.
+   * @return The enum associated with the given numeric wire value.
+   */
+  public static JobState forNumber(int value) {
+    switch (value) {
+      case 0:
+        return JOB_STATE_UNSPECIFIED;
+      case 1:
+        return JOB_STATE_QUEUED;
+      case 2:
+        return JOB_STATE_PENDING;
+      case 3:
+        return JOB_STATE_RUNNING;
+      case 4:
+        return JOB_STATE_SUCCEEDED;
+      case 5:
+        return JOB_STATE_FAILED;
+      case 6:
+        return JOB_STATE_CANCELLING;
+      case 7:
+        return JOB_STATE_CANCELLED;
+      case 8:
+        return JOB_STATE_PAUSED;
+      default:
+        return null;
+    }
+  }
+
+  public static com.google.protobuf.Internal.EnumLiteMap<JobState> internalGetValueMap() {
+    return internalValueMap;
+  }
+
+  private static final com.google.protobuf.Internal.EnumLiteMap<JobState> internalValueMap =
+      new com.google.protobuf.Internal.EnumLiteMap<JobState>() {
+        public JobState findValueByNumber(int number) {
+          return JobState.forNumber(number);
+        }
+      };
+
+  public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+    if (this == UNRECOGNIZED) {
+      throw new java.lang.IllegalStateException(
+          "Can't get the descriptor of an unrecognized enum value.");
+    }
+    return getDescriptor().getValues().get(ordinal());
+  }
+
+  public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+    return getDescriptor();
+  }
+
+  public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobStateProto.getDescriptor().getEnumTypes().get(0);
+  }
+
+  private static final JobState[] VALUES = values();
+
+  public static JobState valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+    if (desc.getType() != getDescriptor()) {
+      throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+    }
+    if (desc.getIndex() == -1) {
+      return UNRECOGNIZED;
+    }
+    return VALUES[desc.getIndex()];
+  }
+
+  private final int value;
+
+  private JobState(int value) {
+    this.value = value;
+  }
+
+  // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.JobState)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobStateProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobStateProto.java
new file mode 100644
index 000000000..e5414e634
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/JobStateProto.java
@@ -0,0 +1,61 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_state.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class JobStateProto {
+  private JobStateProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n*google/cloud/aiplatform/v1/job_state.p"
+          + "roto\022\032google.cloud.aiplatform.v1\032\034google"
+          + "/api/annotations.proto*\341\001\n\010JobState\022\031\n\025J"
+          + "OB_STATE_UNSPECIFIED\020\000\022\024\n\020JOB_STATE_QUEU"
+          + "ED\020\001\022\025\n\021JOB_STATE_PENDING\020\002\022\025\n\021JOB_STATE"
+          + "_RUNNING\020\003\022\027\n\023JOB_STATE_SUCCEEDED\020\004\022\024\n\020J"
+          + "OB_STATE_FAILED\020\005\022\030\n\024JOB_STATE_CANCELLIN"
+          + "G\020\006\022\027\n\023JOB_STATE_CANCELLED\020\007\022\024\n\020JOB_STAT"
+          + "E_PAUSED\020\010Bw\n\036com.google.cloud.aiplatfor"
+          + "m.v1B\rJobStateProtoP\001ZDgoogle.golang.org"
+          + "/genproto/googleapis/cloud/aiplatform/v1"
+          + ";aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequest.java
new file mode 100644
index 000000000..f6ec451da
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequest.java
@@ -0,0 +1,1567 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListAnnotationsRequest}
+ */
+public final class ListAnnotationsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListAnnotationsRequest)
+    ListAnnotationsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListAnnotationsRequest.newBuilder() to construct.
+  private ListAnnotationsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListAnnotationsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+    orderBy_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListAnnotationsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListAnnotationsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              orderBy_ = s;
+              break;
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+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
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+              break;
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+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListAnnotationsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListAnnotationsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListAnnotationsRequest.class,
+            com.google.cloud.aiplatform.v1.ListAnnotationsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the DataItem to list Annotations from.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the DataItem to list Annotations from.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FILTER_FIELD_NUMBER = 2;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  @java.lang.Override
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
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+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getFilterBytes() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      filter_ = b;
+      return b;
+    } else {
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+  public static final int PAGE_SIZE_FIELD_NUMBER = 3;
+  private int pageSize_;
+  /**
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+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  @java.lang.Override
+  public int getPageSize() {
+    return pageSize_;
+  }
+
+  public static final int PAGE_TOKEN_FIELD_NUMBER = 4;
+  private volatile java.lang.Object pageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getPageToken() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      pageToken_ = s;
+      return s;
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+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getPageTokenBytes() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      pageToken_ = b;
+      return b;
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+
+  public static final int READ_MASK_FIELD_NUMBER = 5;
+  private com.google.protobuf.FieldMask readMask_;
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
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+  public boolean hasReadMask() {
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+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
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+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
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+  public static final int ORDER_BY_FIELD_NUMBER = 6;
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+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The orderBy.
+   */
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+  public java.lang.String getOrderBy() {
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+      java.lang.String s = bs.toStringUtf8();
+      orderBy_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The bytes for orderBy.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getOrderByBytes() {
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+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    private java.lang.Object orderBy_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The orderBy.
+     */
+    public java.lang.String getOrderBy() {
+      java.lang.Object ref = orderBy_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        orderBy_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The bytes for orderBy.
+     */
+    public com.google.protobuf.ByteString getOrderByBytes() {
+      java.lang.Object ref = orderBy_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        orderBy_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderBy(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOrderBy() {
+
+      orderBy_ = getDefaultInstance().getOrderBy();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The bytes for orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListAnnotationsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListAnnotationsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListAnnotationsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListAnnotationsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListAnnotationsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListAnnotationsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListAnnotationsRequest>() {
+        @java.lang.Override
+        public ListAnnotationsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListAnnotationsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListAnnotationsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListAnnotationsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListAnnotationsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequestOrBuilder.java
new file mode 100644
index 000000000..395e15e05
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsRequestOrBuilder.java
@@ -0,0 +1,183 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListAnnotationsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListAnnotationsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the DataItem to list Annotations from.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the DataItem to list Annotations from.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The orderBy.
+   */
+  java.lang.String getOrderBy();
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The bytes for orderBy.
+   */
+  com.google.protobuf.ByteString getOrderByBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponse.java
new file mode 100644
index 000000000..5aa49611a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponse.java
@@ -0,0 +1,1131 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListAnnotationsResponse}
+ */
+public final class ListAnnotationsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListAnnotationsResponse)
+    ListAnnotationsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListAnnotationsResponse.newBuilder() to construct.
+  private ListAnnotationsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListAnnotationsResponse() {
+    annotations_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListAnnotationsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListAnnotationsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                annotations_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Annotation>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              annotations_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Annotation.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        annotations_ = java.util.Collections.unmodifiableList(annotations_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListAnnotationsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListAnnotationsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListAnnotationsResponse.class,
+            com.google.cloud.aiplatform.v1.ListAnnotationsResponse.Builder.class);
+  }
+
+  public static final int ANNOTATIONS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.Annotation> annotations_;
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Annotation> getAnnotationsList() {
+    return annotations_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.AnnotationOrBuilder>
+      getAnnotationsOrBuilderList() {
+    return annotations_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+   */
+  @java.lang.Override
+  public int getAnnotationsCount() {
+    return annotations_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
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+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.AnnotationOrBuilder getAnnotationsOrBuilder(int index) {
+      if (annotationsBuilder_ == null) {
+        return annotations_.get(index);
+      } else {
+        return annotationsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Annotations that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.AnnotationOrBuilder>
+        getAnnotationsOrBuilderList() {
+      if (annotationsBuilder_ != null) {
+        return annotationsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(annotations_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Annotations that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Annotation.Builder addAnnotationsBuilder() {
+      return getAnnotationsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Annotation.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Annotations that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Annotation.Builder addAnnotationsBuilder(int index) {
+      return getAnnotationsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.Annotation.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Annotations that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Annotation.Builder>
+        getAnnotationsBuilderList() {
+      return getAnnotationsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Annotation,
+            com.google.cloud.aiplatform.v1.Annotation.Builder,
+            com.google.cloud.aiplatform.v1.AnnotationOrBuilder>
+        getAnnotationsFieldBuilder() {
+      if (annotationsBuilder_ == null) {
+        annotationsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Annotation,
+                com.google.cloud.aiplatform.v1.Annotation.Builder,
+                com.google.cloud.aiplatform.v1.AnnotationOrBuilder>(
+                annotations_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        annotations_ = null;
+      }
+      return annotationsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListAnnotationsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListAnnotationsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListAnnotationsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListAnnotationsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListAnnotationsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListAnnotationsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListAnnotationsResponse>() {
+        @java.lang.Override
+        public ListAnnotationsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListAnnotationsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListAnnotationsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListAnnotationsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListAnnotationsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponseOrBuilder.java
new file mode 100644
index 000000000..19cef0ca6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListAnnotationsResponseOrBuilder.java
@@ -0,0 +1,102 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListAnnotationsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListAnnotationsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Annotation> getAnnotationsList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.Annotation getAnnotations(int index);
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+   */
+  int getAnnotationsCount();
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.AnnotationOrBuilder>
+      getAnnotationsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of Annotations that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Annotation annotations = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.AnnotationOrBuilder getAnnotationsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequest.java
new file mode 100644
index 000000000..f77d48d42
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequest.java
@@ -0,0 +1,1456 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest}
+ */
+public final class ListBatchPredictionJobsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest)
+    ListBatchPredictionJobsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListBatchPredictionJobsRequest.newBuilder() to construct.
+  private ListBatchPredictionJobsRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListBatchPredictionJobsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListBatchPredictionJobsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListBatchPredictionJobsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.class,
+            com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the BatchPredictionJobs
+   * from. Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the BatchPredictionJobs
+   * from. Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FILTER_FIELD_NUMBER = 2;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  @java.lang.Override
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getFilterBytes() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      filter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PAGE_SIZE_FIELD_NUMBER = 3;
+  private int pageSize_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  @java.lang.Override
+  public int getPageSize() {
+    return pageSize_;
+  }
+
+  public static final int PAGE_TOKEN_FIELD_NUMBER = 4;
+  private volatile java.lang.Object pageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getPageToken() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      pageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getPageTokenBytes() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      pageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int READ_MASK_FIELD_NUMBER = 5;
+  private com.google.protobuf.FieldMask readMask_;
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  @java.lang.Override
+  public boolean hasReadMask() {
+    return readMask_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
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+    /**
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+     *
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+     * Required. The resource name of the Location to list the BatchPredictionJobs
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+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     * <pre>
+     * Required. The resource name of the Location to list the BatchPredictionJobs
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+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     *  * `NOT display_name="my_job"`
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+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
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+     *  * `NOT display_name="my_job"`
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+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+     * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListBatchPredictionJobsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListBatchPredictionJobsRequest>() {
+        @java.lang.Override
+        public ListBatchPredictionJobsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListBatchPredictionJobsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListBatchPredictionJobsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListBatchPredictionJobsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequestOrBuilder.java
new file mode 100644
index 000000000..ffb39c4ac
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsRequestOrBuilder.java
@@ -0,0 +1,176 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListBatchPredictionJobsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the BatchPredictionJobs
+   * from. Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the BatchPredictionJobs
+   * from. Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+   * [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponse.java
new file mode 100644
index 000000000..20c7a0bf0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponse.java
@@ -0,0 +1,1187 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse}
+ */
+public final class ListBatchPredictionJobsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse)
+    ListBatchPredictionJobsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListBatchPredictionJobsResponse.newBuilder() to construct.
+  private ListBatchPredictionJobsResponse(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListBatchPredictionJobsResponse() {
+    batchPredictionJobs_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListBatchPredictionJobsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListBatchPredictionJobsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                batchPredictionJobs_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.BatchPredictionJob>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              batchPredictionJobs_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.BatchPredictionJob.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        batchPredictionJobs_ = java.util.Collections.unmodifiableList(batchPredictionJobs_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.class,
+            com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.Builder.class);
+  }
+
+  public static final int BATCH_PREDICTION_JOBS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.BatchPredictionJob> batchPredictionJobs_;
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
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+   */
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+  public java.util.List<com.google.cloud.aiplatform.v1.BatchPredictionJob>
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+  /**
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+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
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+  public java.util.List<? extends com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>
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+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
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+    return batchPredictionJobs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
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+  public com.google.cloud.aiplatform.v1.BatchPredictionJob getBatchPredictionJobs(int index) {
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+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
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+  public com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder getBatchPredictionJobsOrBuilder(
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+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
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+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse)) {
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+
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+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
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+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse)
+      com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
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+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.class,
+              com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getBatchPredictionJobsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (batchPredictionJobsBuilder_ == null) {
+        batchPredictionJobs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        batchPredictionJobsBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListBatchPredictionJobsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse build() {
+      com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse result =
+          new com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (batchPredictionJobsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          batchPredictionJobs_ = java.util.Collections.unmodifiableList(batchPredictionJobs_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.batchPredictionJobs_ = batchPredictionJobs_;
+      } else {
+        result.batchPredictionJobs_ = batchPredictionJobsBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
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+
+    @java.lang.Override
+    public Builder setRepeatedField(
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
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+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.getDefaultInstance())
+        return this;
+      if (batchPredictionJobsBuilder_ == null) {
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+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureBatchPredictionJobsIsMutable();
+            batchPredictionJobs_.addAll(other.batchPredictionJobs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.batchPredictionJobs_.isEmpty()) {
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+            bitField0_ = (bitField0_ & ~0x00000001);
+            batchPredictionJobsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getBatchPredictionJobsFieldBuilder()
+                    : null;
+          } else {
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+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
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+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.BatchPredictionJob> batchPredictionJobs_ =
+        java.util.Collections.emptyList();
+
+    private void ensureBatchPredictionJobsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        batchPredictionJobs_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.BatchPredictionJob>(
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+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>
+        batchPredictionJobsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.BatchPredictionJob>
+        getBatchPredictionJobsList() {
+      if (batchPredictionJobsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(batchPredictionJobs_);
+      } else {
+        return batchPredictionJobsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public int getBatchPredictionJobsCount() {
+      if (batchPredictionJobsBuilder_ == null) {
+        return batchPredictionJobs_.size();
+      } else {
+        return batchPredictionJobsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob getBatchPredictionJobs(int index) {
+      if (batchPredictionJobsBuilder_ == null) {
+        return batchPredictionJobs_.get(index);
+      } else {
+        return batchPredictionJobsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder setBatchPredictionJobs(
+        int index, com.google.cloud.aiplatform.v1.BatchPredictionJob value) {
+      if (batchPredictionJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBatchPredictionJobsIsMutable();
+        batchPredictionJobs_.set(index, value);
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder setBatchPredictionJobs(
+        int index, com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder builderForValue) {
+      if (batchPredictionJobsBuilder_ == null) {
+        ensureBatchPredictionJobsIsMutable();
+        batchPredictionJobs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder addBatchPredictionJobs(com.google.cloud.aiplatform.v1.BatchPredictionJob value) {
+      if (batchPredictionJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBatchPredictionJobsIsMutable();
+        batchPredictionJobs_.add(value);
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder addBatchPredictionJobs(
+        int index, com.google.cloud.aiplatform.v1.BatchPredictionJob value) {
+      if (batchPredictionJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBatchPredictionJobsIsMutable();
+        batchPredictionJobs_.add(index, value);
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder addBatchPredictionJobs(
+        com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder builderForValue) {
+      if (batchPredictionJobsBuilder_ == null) {
+        ensureBatchPredictionJobsIsMutable();
+        batchPredictionJobs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder addBatchPredictionJobs(
+        int index, com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder builderForValue) {
+      if (batchPredictionJobsBuilder_ == null) {
+        ensureBatchPredictionJobsIsMutable();
+        batchPredictionJobs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder addAllBatchPredictionJobs(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.BatchPredictionJob> values) {
+      if (batchPredictionJobsBuilder_ == null) {
+        ensureBatchPredictionJobsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, batchPredictionJobs_);
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder clearBatchPredictionJobs() {
+      if (batchPredictionJobsBuilder_ == null) {
+        batchPredictionJobs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public Builder removeBatchPredictionJobs(int index) {
+      if (batchPredictionJobsBuilder_ == null) {
+        ensureBatchPredictionJobsIsMutable();
+        batchPredictionJobs_.remove(index);
+        onChanged();
+      } else {
+        batchPredictionJobsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder getBatchPredictionJobsBuilder(
+        int index) {
+      return getBatchPredictionJobsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder
+        getBatchPredictionJobsOrBuilder(int index) {
+      if (batchPredictionJobsBuilder_ == null) {
+        return batchPredictionJobs_.get(index);
+      } else {
+        return batchPredictionJobsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>
+        getBatchPredictionJobsOrBuilderList() {
+      if (batchPredictionJobsBuilder_ != null) {
+        return batchPredictionJobsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(batchPredictionJobs_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder
+        addBatchPredictionJobsBuilder() {
+      return getBatchPredictionJobsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.BatchPredictionJob.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder addBatchPredictionJobsBuilder(
+        int index) {
+      return getBatchPredictionJobsFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.BatchPredictionJob.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of BatchPredictionJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder>
+        getBatchPredictionJobsBuilderList() {
+      return getBatchPredictionJobsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.BatchPredictionJob,
+            com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder,
+            com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>
+        getBatchPredictionJobsFieldBuilder() {
+      if (batchPredictionJobsBuilder_ == null) {
+        batchPredictionJobsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.BatchPredictionJob,
+                com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder,
+                com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>(
+                batchPredictionJobs_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        batchPredictionJobs_ = null;
+      }
+      return batchPredictionJobsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListBatchPredictionJobsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListBatchPredictionJobsResponse>() {
+        @java.lang.Override
+        public ListBatchPredictionJobsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListBatchPredictionJobsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListBatchPredictionJobsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListBatchPredictionJobsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponseOrBuilder.java
new file mode 100644
index 000000000..b5df98a49
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListBatchPredictionJobsResponseOrBuilder.java
@@ -0,0 +1,107 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListBatchPredictionJobsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.BatchPredictionJob> getBatchPredictionJobsList();
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJob getBatchPredictionJobs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
+  int getBatchPredictionJobsCount();
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder>
+      getBatchPredictionJobsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * List of BatchPredictionJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.BatchPredictionJob batch_prediction_jobs = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.BatchPredictionJobOrBuilder getBatchPredictionJobsOrBuilder(
+      int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequest.java
new file mode 100644
index 000000000..0e8c96d99
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequest.java
@@ -0,0 +1,1450 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListCustomJobsRequest}
+ */
+public final class ListCustomJobsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListCustomJobsRequest)
+    ListCustomJobsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListCustomJobsRequest.newBuilder() to construct.
+  private ListCustomJobsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListCustomJobsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListCustomJobsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListCustomJobsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListCustomJobsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListCustomJobsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListCustomJobsRequest.class,
+            com.google.cloud.aiplatform.v1.ListCustomJobsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the CustomJobs from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the CustomJobs from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
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+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
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+   *  * `NOT display_name="my_job"`
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+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
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+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+  /**
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+   *
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+   * Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListCustomJobsRequest}
+   */
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+     * <pre>
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+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     *
+     * <pre>
+     * Required. The resource name of the Location to list the CustomJobs from.
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+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     *
+     * <pre>
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+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+    /**
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+     * <pre>
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+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
+     * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListCustomJobsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListCustomJobsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListCustomJobsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListCustomJobsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListCustomJobsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListCustomJobsRequest>() {
+        @java.lang.Override
+        public ListCustomJobsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListCustomJobsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListCustomJobsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListCustomJobsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListCustomJobsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequestOrBuilder.java
new file mode 100644
index 000000000..3e8119c22
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsRequestOrBuilder.java
@@ -0,0 +1,176 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListCustomJobsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListCustomJobsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the CustomJobs from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the CustomJobs from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
+   * [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponse.java
new file mode 100644
index 000000000..e506ebf55
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponse.java
@@ -0,0 +1,1137 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListCustomJobsResponse}
+ */
+public final class ListCustomJobsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListCustomJobsResponse)
+    ListCustomJobsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListCustomJobsResponse.newBuilder() to construct.
+  private ListCustomJobsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListCustomJobsResponse() {
+    customJobs_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListCustomJobsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListCustomJobsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
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+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                customJobs_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.CustomJob>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              customJobs_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.CustomJob.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        customJobs_ = java.util.Collections.unmodifiableList(customJobs_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListCustomJobsResponse.class,
+            com.google.cloud.aiplatform.v1.ListCustomJobsResponse.Builder.class);
+  }
+
+  public static final int CUSTOM_JOBS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.CustomJob> customJobs_;
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.CustomJob> getCustomJobsList() {
+    return customJobs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.CustomJobOrBuilder>
+      getCustomJobsOrBuilderList() {
+    return customJobs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public int getCustomJobsCount() {
+    return customJobs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJob getCustomJobs(int index) {
+    return customJobs_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.CustomJobOrBuilder getCustomJobsOrBuilder(int index) {
+    return customJobs_.get(index);
+  }
+
+  public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object nextPageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getNextPageToken() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      nextPageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
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+  public com.google.protobuf.ByteString getNextPageTokenBytes() {
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+      com.google.protobuf.ByteString b =
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+      return b;
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+  }
+
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+
+  @java.lang.Override
+  public final boolean isInitialized() {
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+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < customJobs_.size(); i++) {
+      output.writeMessage(1, customJobs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < customJobs_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, customJobs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListCustomJobsResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ListCustomJobsResponse other =
+        (com.google.cloud.aiplatform.v1.ListCustomJobsResponse) obj;
+
+    if (!getCustomJobsList().equals(other.getCustomJobsList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getCustomJobsCount() > 0) {
+      hash = (37 * hash) + CUSTOM_JOBS_FIELD_NUMBER;
+      hash = (53 * hash) + getCustomJobsList().hashCode();
+    }
+    hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getNextPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ListCustomJobsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListCustomJobsResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListCustomJobsResponse)
+      com.google.cloud.aiplatform.v1.ListCustomJobsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ListCustomJobsResponse.class,
+              com.google.cloud.aiplatform.v1.ListCustomJobsResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ListCustomJobsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getCustomJobsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (customJobsBuilder_ == null) {
+        customJobs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        customJobsBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListCustomJobsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListCustomJobsResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListCustomJobsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListCustomJobsResponse build() {
+      com.google.cloud.aiplatform.v1.ListCustomJobsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListCustomJobsResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListCustomJobsResponse result =
+          new com.google.cloud.aiplatform.v1.ListCustomJobsResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (customJobsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          customJobs_ = java.util.Collections.unmodifiableList(customJobs_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.customJobs_ = customJobs_;
+      } else {
+        result.customJobs_ = customJobsBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListCustomJobsResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListCustomJobsResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListCustomJobsResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ListCustomJobsResponse.getDefaultInstance())
+        return this;
+      if (customJobsBuilder_ == null) {
+        if (!other.customJobs_.isEmpty()) {
+          if (customJobs_.isEmpty()) {
+            customJobs_ = other.customJobs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureCustomJobsIsMutable();
+            customJobs_.addAll(other.customJobs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.customJobs_.isEmpty()) {
+          if (customJobsBuilder_.isEmpty()) {
+            customJobsBuilder_.dispose();
+            customJobsBuilder_ = null;
+            customJobs_ = other.customJobs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            customJobsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getCustomJobsFieldBuilder()
+                    : null;
+          } else {
+            customJobsBuilder_.addAllMessages(other.customJobs_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListCustomJobsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListCustomJobsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.CustomJob> customJobs_ =
+        java.util.Collections.emptyList();
+
+    private void ensureCustomJobsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        customJobs_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.CustomJob>(customJobs_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CustomJob,
+            com.google.cloud.aiplatform.v1.CustomJob.Builder,
+            com.google.cloud.aiplatform.v1.CustomJobOrBuilder>
+        customJobsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.CustomJob> getCustomJobsList() {
+      if (customJobsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(customJobs_);
+      } else {
+        return customJobsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public int getCustomJobsCount() {
+      if (customJobsBuilder_ == null) {
+        return customJobs_.size();
+      } else {
+        return customJobsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJob getCustomJobs(int index) {
+      if (customJobsBuilder_ == null) {
+        return customJobs_.get(index);
+      } else {
+        return customJobsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder setCustomJobs(int index, com.google.cloud.aiplatform.v1.CustomJob value) {
+      if (customJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureCustomJobsIsMutable();
+        customJobs_.set(index, value);
+        onChanged();
+      } else {
+        customJobsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder setCustomJobs(
+        int index, com.google.cloud.aiplatform.v1.CustomJob.Builder builderForValue) {
+      if (customJobsBuilder_ == null) {
+        ensureCustomJobsIsMutable();
+        customJobs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        customJobsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder addCustomJobs(com.google.cloud.aiplatform.v1.CustomJob value) {
+      if (customJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureCustomJobsIsMutable();
+        customJobs_.add(value);
+        onChanged();
+      } else {
+        customJobsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder addCustomJobs(int index, com.google.cloud.aiplatform.v1.CustomJob value) {
+      if (customJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureCustomJobsIsMutable();
+        customJobs_.add(index, value);
+        onChanged();
+      } else {
+        customJobsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder addCustomJobs(com.google.cloud.aiplatform.v1.CustomJob.Builder builderForValue) {
+      if (customJobsBuilder_ == null) {
+        ensureCustomJobsIsMutable();
+        customJobs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        customJobsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder addCustomJobs(
+        int index, com.google.cloud.aiplatform.v1.CustomJob.Builder builderForValue) {
+      if (customJobsBuilder_ == null) {
+        ensureCustomJobsIsMutable();
+        customJobs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        customJobsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder addAllCustomJobs(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.CustomJob> values) {
+      if (customJobsBuilder_ == null) {
+        ensureCustomJobsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, customJobs_);
+        onChanged();
+      } else {
+        customJobsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder clearCustomJobs() {
+      if (customJobsBuilder_ == null) {
+        customJobs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        customJobsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public Builder removeCustomJobs(int index) {
+      if (customJobsBuilder_ == null) {
+        ensureCustomJobsIsMutable();
+        customJobs_.remove(index);
+        onChanged();
+      } else {
+        customJobsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJob.Builder getCustomJobsBuilder(int index) {
+      return getCustomJobsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJobOrBuilder getCustomJobsOrBuilder(int index) {
+      if (customJobsBuilder_ == null) {
+        return customJobs_.get(index);
+      } else {
+        return customJobsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.CustomJobOrBuilder>
+        getCustomJobsOrBuilderList() {
+      if (customJobsBuilder_ != null) {
+        return customJobsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(customJobs_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJob.Builder addCustomJobsBuilder() {
+      return getCustomJobsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.CustomJob.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.CustomJob.Builder addCustomJobsBuilder(int index) {
+      return getCustomJobsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.CustomJob.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of CustomJobs in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.CustomJob.Builder>
+        getCustomJobsBuilderList() {
+      return getCustomJobsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.CustomJob,
+            com.google.cloud.aiplatform.v1.CustomJob.Builder,
+            com.google.cloud.aiplatform.v1.CustomJobOrBuilder>
+        getCustomJobsFieldBuilder() {
+      if (customJobsBuilder_ == null) {
+        customJobsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.CustomJob,
+                com.google.cloud.aiplatform.v1.CustomJob.Builder,
+                com.google.cloud.aiplatform.v1.CustomJobOrBuilder>(
+                customJobs_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        customJobs_ = null;
+      }
+      return customJobsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListCustomJobsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListCustomJobsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListCustomJobsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListCustomJobsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListCustomJobsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListCustomJobsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListCustomJobsResponse>() {
+        @java.lang.Override
+        public ListCustomJobsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListCustomJobsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListCustomJobsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListCustomJobsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListCustomJobsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponseOrBuilder.java
new file mode 100644
index 000000000..a7a7e0762
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListCustomJobsResponseOrBuilder.java
@@ -0,0 +1,104 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListCustomJobsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListCustomJobsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.CustomJob> getCustomJobsList();
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.CustomJob getCustomJobs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  int getCustomJobsCount();
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.CustomJobOrBuilder>
+      getCustomJobsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * List of CustomJobs in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.CustomJob custom_jobs = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.CustomJobOrBuilder getCustomJobsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequest.java
new file mode 100644
index 000000000..e3845b2fb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequest.java
@@ -0,0 +1,1566 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListDataItemsRequest}
+ */
+public final class ListDataItemsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListDataItemsRequest)
+    ListDataItemsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListDataItemsRequest.newBuilder() to construct.
+  private ListDataItemsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListDataItemsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+    orderBy_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListDataItemsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListDataItemsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              orderBy_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
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+
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to list DataItems from.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to list DataItems from.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to list DataItems from.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to list DataItems from.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Dataset to list DataItems from.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    private java.lang.Object orderBy_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The orderBy.
+     */
+    public java.lang.String getOrderBy() {
+      java.lang.Object ref = orderBy_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        orderBy_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The bytes for orderBy.
+     */
+    public com.google.protobuf.ByteString getOrderByBytes() {
+      java.lang.Object ref = orderBy_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        orderBy_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderBy(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOrderBy() {
+
+      orderBy_ = getDefaultInstance().getOrderBy();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The bytes for orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListDataItemsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListDataItemsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListDataItemsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListDataItemsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataItemsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListDataItemsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListDataItemsRequest>() {
+        @java.lang.Override
+        public ListDataItemsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListDataItemsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListDataItemsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListDataItemsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListDataItemsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequestOrBuilder.java
new file mode 100644
index 000000000..9e9789f50
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsRequestOrBuilder.java
@@ -0,0 +1,183 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListDataItemsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListDataItemsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Dataset to list DataItems from.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Dataset to list DataItems from.
+   * Format:
+   * `projects/{project}/locations/{location}/datasets/{dataset}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
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+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
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+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
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+   *
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+   *
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+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
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+   *
+   * <pre>
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+   *
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+  /**
+   *
+   *
+   * <pre>
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+   *
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+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponse.java
new file mode 100644
index 000000000..5432194d1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponse.java
@@ -0,0 +1,1128 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListDataItemsResponse}
+ */
+public final class ListDataItemsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListDataItemsResponse)
+    ListDataItemsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListDataItemsResponse.newBuilder() to construct.
+  private ListDataItemsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
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+    dataItems_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
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+
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+    return new ListDataItemsResponse();
+  }
+
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+    this();
+    if (extensionRegistry == null) {
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+
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+  }
+  /**
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+   *
+   * <pre>
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+   *
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+   */
+  @java.lang.Override
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+  }
+  /**
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+   *
+   * <pre>
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+   * </pre>
+   *
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+   */
+  @java.lang.Override
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+    return dataItems_.size();
+  }
+  /**
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+   */
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+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
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+    return PARSER.parseFrom(data);
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+
+  public static com.google.cloud.aiplatform.v1.ListDataItemsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
+  }
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+      throws java.io.IOException {
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+  public static com.google.cloud.aiplatform.v1.ListDataItemsResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
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+      throws java.io.IOException {
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+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
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+  public static com.google.cloud.aiplatform.v1.ListDataItemsResponse parseFrom(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
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+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ListDataItemsResponse prototype) {
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+  @java.lang.Override
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+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
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+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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+  /**
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+   *
+   * <pre>
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+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListDataItemsResponse}
+   */
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+      com.google.cloud.aiplatform.v1.ListDataItemsResponseOrBuilder {
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+    }
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+    private Builder() {
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+    }
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListDataItemsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListDataItemsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.DataItem> dataItems_ =
+        java.util.Collections.emptyList();
+
+    private void ensureDataItemsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        dataItems_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.DataItem>(dataItems_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DataItem,
+            com.google.cloud.aiplatform.v1.DataItem.Builder,
+            com.google.cloud.aiplatform.v1.DataItemOrBuilder>
+        dataItemsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.DataItem> getDataItemsList() {
+      if (dataItemsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(dataItems_);
+      } else {
+        return dataItemsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public int getDataItemsCount() {
+      if (dataItemsBuilder_ == null) {
+        return dataItems_.size();
+      } else {
+        return dataItemsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataItem getDataItems(int index) {
+      if (dataItemsBuilder_ == null) {
+        return dataItems_.get(index);
+      } else {
+        return dataItemsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder setDataItems(int index, com.google.cloud.aiplatform.v1.DataItem value) {
+      if (dataItemsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDataItemsIsMutable();
+        dataItems_.set(index, value);
+        onChanged();
+      } else {
+        dataItemsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder setDataItems(
+        int index, com.google.cloud.aiplatform.v1.DataItem.Builder builderForValue) {
+      if (dataItemsBuilder_ == null) {
+        ensureDataItemsIsMutable();
+        dataItems_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        dataItemsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder addDataItems(com.google.cloud.aiplatform.v1.DataItem value) {
+      if (dataItemsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDataItemsIsMutable();
+        dataItems_.add(value);
+        onChanged();
+      } else {
+        dataItemsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder addDataItems(int index, com.google.cloud.aiplatform.v1.DataItem value) {
+      if (dataItemsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDataItemsIsMutable();
+        dataItems_.add(index, value);
+        onChanged();
+      } else {
+        dataItemsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder addDataItems(com.google.cloud.aiplatform.v1.DataItem.Builder builderForValue) {
+      if (dataItemsBuilder_ == null) {
+        ensureDataItemsIsMutable();
+        dataItems_.add(builderForValue.build());
+        onChanged();
+      } else {
+        dataItemsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder addDataItems(
+        int index, com.google.cloud.aiplatform.v1.DataItem.Builder builderForValue) {
+      if (dataItemsBuilder_ == null) {
+        ensureDataItemsIsMutable();
+        dataItems_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        dataItemsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder addAllDataItems(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.DataItem> values) {
+      if (dataItemsBuilder_ == null) {
+        ensureDataItemsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, dataItems_);
+        onChanged();
+      } else {
+        dataItemsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder clearDataItems() {
+      if (dataItemsBuilder_ == null) {
+        dataItems_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        dataItemsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public Builder removeDataItems(int index) {
+      if (dataItemsBuilder_ == null) {
+        ensureDataItemsIsMutable();
+        dataItems_.remove(index);
+        onChanged();
+      } else {
+        dataItemsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataItem.Builder getDataItemsBuilder(int index) {
+      return getDataItemsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataItemOrBuilder getDataItemsOrBuilder(int index) {
+      if (dataItemsBuilder_ == null) {
+        return dataItems_.get(index);
+      } else {
+        return dataItemsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.DataItemOrBuilder>
+        getDataItemsOrBuilderList() {
+      if (dataItemsBuilder_ != null) {
+        return dataItemsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(dataItems_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataItem.Builder addDataItemsBuilder() {
+      return getDataItemsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.DataItem.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataItem.Builder addDataItemsBuilder(int index) {
+      return getDataItemsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.DataItem.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataItems that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.DataItem.Builder>
+        getDataItemsBuilderList() {
+      return getDataItemsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DataItem,
+            com.google.cloud.aiplatform.v1.DataItem.Builder,
+            com.google.cloud.aiplatform.v1.DataItemOrBuilder>
+        getDataItemsFieldBuilder() {
+      if (dataItemsBuilder_ == null) {
+        dataItemsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DataItem,
+                com.google.cloud.aiplatform.v1.DataItem.Builder,
+                com.google.cloud.aiplatform.v1.DataItemOrBuilder>(
+                dataItems_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        dataItems_ = null;
+      }
+      return dataItemsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListDataItemsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListDataItemsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListDataItemsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListDataItemsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataItemsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListDataItemsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListDataItemsResponse>() {
+        @java.lang.Override
+        public ListDataItemsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListDataItemsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListDataItemsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListDataItemsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListDataItemsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponseOrBuilder.java
new file mode 100644
index 000000000..84f406caa
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataItemsResponseOrBuilder.java
@@ -0,0 +1,102 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListDataItemsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListDataItemsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataItems that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.DataItem> getDataItemsList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataItems that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.DataItem getDataItems(int index);
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataItems that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+   */
+  int getDataItemsCount();
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataItems that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.DataItemOrBuilder>
+      getDataItemsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataItems that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataItem data_items = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.DataItemOrBuilder getDataItemsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequest.java
new file mode 100644
index 000000000..ac6c1d5c7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequest.java
@@ -0,0 +1,1659 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DataLabelingJobService.ListDataLabelingJobs][].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListDataLabelingJobsRequest}
+ */
+public final class ListDataLabelingJobsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListDataLabelingJobsRequest)
+    ListDataLabelingJobsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListDataLabelingJobsRequest.newBuilder() to construct.
+  private ListDataLabelingJobsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListDataLabelingJobsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+    orderBy_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListDataLabelingJobsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListDataLabelingJobsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
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+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
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+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (!other.getFilter().isEmpty()) {
+        filter_ = other.filter_;
+        onChanged();
+      }
+      if (other.getPageSize() != 0) {
+        setPageSize(other.getPageSize());
+      }
+      if (!other.getPageToken().isEmpty()) {
+        pageToken_ = other.pageToken_;
+        onChanged();
+      }
+      if (other.hasReadMask()) {
+        mergeReadMask(other.getReadMask());
+      }
+      if (!other.getOrderBy().isEmpty()) {
+        orderBy_ = other.orderBy_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The parent of the DataLabelingJob.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * symbolic field paths. For example, the mask can be `paths: "name"`. The
+     * "name" here is a field in DataLabelingJob.
+     * If this field is not set, all fields of the DataLabelingJob are returned.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    private java.lang.Object orderBy_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order by
+     * default.
+     * Use `desc` after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The orderBy.
+     */
+    public java.lang.String getOrderBy() {
+      java.lang.Object ref = orderBy_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        orderBy_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order by
+     * default.
+     * Use `desc` after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The bytes for orderBy.
+     */
+    public com.google.protobuf.ByteString getOrderByBytes() {
+      java.lang.Object ref = orderBy_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        orderBy_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order by
+     * default.
+     * Use `desc` after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderBy(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order by
+     * default.
+     * Use `desc` after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOrderBy() {
+
+      orderBy_ = getDefaultInstance().getOrderBy();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order by
+     * default.
+     * Use `desc` after a field name for descending.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The bytes for orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListDataLabelingJobsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListDataLabelingJobsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListDataLabelingJobsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListDataLabelingJobsRequest>() {
+        @java.lang.Override
+        public ListDataLabelingJobsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListDataLabelingJobsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListDataLabelingJobsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListDataLabelingJobsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequestOrBuilder.java
new file mode 100644
index 000000000..e62afebd9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsRequestOrBuilder.java
@@ -0,0 +1,208 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListDataLabelingJobsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListDataLabelingJobsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent of the DataLabelingJob.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The parent of the DataLabelingJob.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read. FieldMask represents a set of
+   * symbolic field paths. For example, the mask can be `paths: "name"`. The
+   * "name" here is a field in DataLabelingJob.
+   * If this field is not set, all fields of the DataLabelingJob are returned.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read. FieldMask represents a set of
+   * symbolic field paths. For example, the mask can be `paths: "name"`. The
+   * "name" here is a field in DataLabelingJob.
+   * If this field is not set, all fields of the DataLabelingJob are returned.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read. FieldMask represents a set of
+   * symbolic field paths. For example, the mask can be `paths: "name"`. The
+   * "name" here is a field in DataLabelingJob.
+   * If this field is not set, all fields of the DataLabelingJob are returned.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order by
+   * default.
+   * Use `desc` after a field name for descending.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The orderBy.
+   */
+  java.lang.String getOrderBy();
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order by
+   * default.
+   * Use `desc` after a field name for descending.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The bytes for orderBy.
+   */
+  com.google.protobuf.ByteString getOrderByBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponse.java
new file mode 100644
index 000000000..146a3bdf8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponse.java
@@ -0,0 +1,1166 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListDataLabelingJobsResponse}
+ */
+public final class ListDataLabelingJobsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListDataLabelingJobsResponse)
+    ListDataLabelingJobsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListDataLabelingJobsResponse.newBuilder() to construct.
+  private ListDataLabelingJobsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListDataLabelingJobsResponse() {
+    dataLabelingJobs_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListDataLabelingJobsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListDataLabelingJobsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                dataLabelingJobs_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.DataLabelingJob>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              dataLabelingJobs_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.DataLabelingJob.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        dataLabelingJobs_ = java.util.Collections.unmodifiableList(dataLabelingJobs_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.class,
+            com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.Builder.class);
+  }
+
+  public static final int DATA_LABELING_JOBS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.DataLabelingJob> dataLabelingJobs_;
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.DataLabelingJob> getDataLabelingJobsList() {
+    return dataLabelingJobs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>
+      getDataLabelingJobsOrBuilderList() {
+    return dataLabelingJobs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public int getDataLabelingJobsCount() {
+    return dataLabelingJobs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DataLabelingJob getDataLabelingJobs(int index) {
+    return dataLabelingJobs_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder getDataLabelingJobsOrBuilder(
+      int index) {
+    return dataLabelingJobs_.get(index);
+  }
+
+  public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object nextPageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getNextPageToken() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      nextPageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNextPageTokenBytes() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      nextPageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < dataLabelingJobs_.size(); i++) {
+      output.writeMessage(1, dataLabelingJobs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < dataLabelingJobs_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, dataLabelingJobs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse other =
+        (com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse) obj;
+
+    if (!getDataLabelingJobsList().equals(other.getDataLabelingJobsList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getDataLabelingJobsCount() > 0) {
+      hash = (37 * hash) + DATA_LABELING_JOBS_FIELD_NUMBER;
+      hash = (53 * hash) + getDataLabelingJobsList().hashCode();
+    }
+    hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getNextPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListDataLabelingJobsResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListDataLabelingJobsResponse)
+      com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.class,
+              com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getDataLabelingJobsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (dataLabelingJobsBuilder_ == null) {
+        dataLabelingJobs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        dataLabelingJobsBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListDataLabelingJobsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse build() {
+      com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse result =
+          new com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (dataLabelingJobsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          dataLabelingJobs_ = java.util.Collections.unmodifiableList(dataLabelingJobs_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.dataLabelingJobs_ = dataLabelingJobs_;
+      } else {
+        result.dataLabelingJobs_ = dataLabelingJobsBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.getDefaultInstance())
+        return this;
+      if (dataLabelingJobsBuilder_ == null) {
+        if (!other.dataLabelingJobs_.isEmpty()) {
+          if (dataLabelingJobs_.isEmpty()) {
+            dataLabelingJobs_ = other.dataLabelingJobs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureDataLabelingJobsIsMutable();
+            dataLabelingJobs_.addAll(other.dataLabelingJobs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.dataLabelingJobs_.isEmpty()) {
+          if (dataLabelingJobsBuilder_.isEmpty()) {
+            dataLabelingJobsBuilder_.dispose();
+            dataLabelingJobsBuilder_ = null;
+            dataLabelingJobs_ = other.dataLabelingJobs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            dataLabelingJobsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getDataLabelingJobsFieldBuilder()
+                    : null;
+          } else {
+            dataLabelingJobsBuilder_.addAllMessages(other.dataLabelingJobs_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.DataLabelingJob> dataLabelingJobs_ =
+        java.util.Collections.emptyList();
+
+    private void ensureDataLabelingJobsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        dataLabelingJobs_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.DataLabelingJob>(
+                dataLabelingJobs_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DataLabelingJob,
+            com.google.cloud.aiplatform.v1.DataLabelingJob.Builder,
+            com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>
+        dataLabelingJobsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.DataLabelingJob>
+        getDataLabelingJobsList() {
+      if (dataLabelingJobsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(dataLabelingJobs_);
+      } else {
+        return dataLabelingJobsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public int getDataLabelingJobsCount() {
+      if (dataLabelingJobsBuilder_ == null) {
+        return dataLabelingJobs_.size();
+      } else {
+        return dataLabelingJobsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJob getDataLabelingJobs(int index) {
+      if (dataLabelingJobsBuilder_ == null) {
+        return dataLabelingJobs_.get(index);
+      } else {
+        return dataLabelingJobsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder setDataLabelingJobs(
+        int index, com.google.cloud.aiplatform.v1.DataLabelingJob value) {
+      if (dataLabelingJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDataLabelingJobsIsMutable();
+        dataLabelingJobs_.set(index, value);
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder setDataLabelingJobs(
+        int index, com.google.cloud.aiplatform.v1.DataLabelingJob.Builder builderForValue) {
+      if (dataLabelingJobsBuilder_ == null) {
+        ensureDataLabelingJobsIsMutable();
+        dataLabelingJobs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder addDataLabelingJobs(com.google.cloud.aiplatform.v1.DataLabelingJob value) {
+      if (dataLabelingJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDataLabelingJobsIsMutable();
+        dataLabelingJobs_.add(value);
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder addDataLabelingJobs(
+        int index, com.google.cloud.aiplatform.v1.DataLabelingJob value) {
+      if (dataLabelingJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDataLabelingJobsIsMutable();
+        dataLabelingJobs_.add(index, value);
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder addDataLabelingJobs(
+        com.google.cloud.aiplatform.v1.DataLabelingJob.Builder builderForValue) {
+      if (dataLabelingJobsBuilder_ == null) {
+        ensureDataLabelingJobsIsMutable();
+        dataLabelingJobs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder addDataLabelingJobs(
+        int index, com.google.cloud.aiplatform.v1.DataLabelingJob.Builder builderForValue) {
+      if (dataLabelingJobsBuilder_ == null) {
+        ensureDataLabelingJobsIsMutable();
+        dataLabelingJobs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder addAllDataLabelingJobs(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.DataLabelingJob> values) {
+      if (dataLabelingJobsBuilder_ == null) {
+        ensureDataLabelingJobsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, dataLabelingJobs_);
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder clearDataLabelingJobs() {
+      if (dataLabelingJobsBuilder_ == null) {
+        dataLabelingJobs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public Builder removeDataLabelingJobs(int index) {
+      if (dataLabelingJobsBuilder_ == null) {
+        ensureDataLabelingJobsIsMutable();
+        dataLabelingJobs_.remove(index);
+        onChanged();
+      } else {
+        dataLabelingJobsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJob.Builder getDataLabelingJobsBuilder(
+        int index) {
+      return getDataLabelingJobsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder getDataLabelingJobsOrBuilder(
+        int index) {
+      if (dataLabelingJobsBuilder_ == null) {
+        return dataLabelingJobs_.get(index);
+      } else {
+        return dataLabelingJobsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>
+        getDataLabelingJobsOrBuilderList() {
+      if (dataLabelingJobsBuilder_ != null) {
+        return dataLabelingJobsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(dataLabelingJobs_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJob.Builder addDataLabelingJobsBuilder() {
+      return getDataLabelingJobsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.DataLabelingJob.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DataLabelingJob.Builder addDataLabelingJobsBuilder(
+        int index) {
+      return getDataLabelingJobsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.DataLabelingJob.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of DataLabelingJobs that matches the specified filter in the
+     * request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.DataLabelingJob.Builder>
+        getDataLabelingJobsBuilderList() {
+      return getDataLabelingJobsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DataLabelingJob,
+            com.google.cloud.aiplatform.v1.DataLabelingJob.Builder,
+            com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>
+        getDataLabelingJobsFieldBuilder() {
+      if (dataLabelingJobsBuilder_ == null) {
+        dataLabelingJobsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DataLabelingJob,
+                com.google.cloud.aiplatform.v1.DataLabelingJob.Builder,
+                com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>(
+                dataLabelingJobs_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        dataLabelingJobs_ = null;
+      }
+      return dataLabelingJobsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
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+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
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+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListDataLabelingJobsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListDataLabelingJobsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListDataLabelingJobsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListDataLabelingJobsResponse>() {
+        @java.lang.Override
+        public ListDataLabelingJobsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListDataLabelingJobsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListDataLabelingJobsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListDataLabelingJobsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponseOrBuilder.java
new file mode 100644
index 000000000..8bd478b5c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDataLabelingJobsResponseOrBuilder.java
@@ -0,0 +1,107 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListDataLabelingJobsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListDataLabelingJobsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.DataLabelingJob> getDataLabelingJobsList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.DataLabelingJob getDataLabelingJobs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  int getDataLabelingJobsCount();
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder>
+      getDataLabelingJobsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of DataLabelingJobs that matches the specified filter in the
+   * request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.DataLabelingJob data_labeling_jobs = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.DataLabelingJobOrBuilder getDataLabelingJobsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequest.java
new file mode 100644
index 000000000..0f5be70a7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequest.java
@@ -0,0 +1,1657 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListDatasetsRequest}
+ */
+public final class ListDatasetsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListDatasetsRequest)
+    ListDatasetsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListDatasetsRequest.newBuilder() to construct.
+  private ListDatasetsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListDatasetsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+    orderBy_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListDatasetsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListDatasetsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
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+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
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+
+              filter_ = s;
+              break;
+            }
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+              break;
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+          case 34:
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+
+              pageToken_ = s;
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+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
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+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
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+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListDatasetsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListDatasetsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListDatasetsRequest.class,
+            com.google.cloud.aiplatform.v1.ListDatasetsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset's parent resource.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset's parent resource.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FILTER_FIELD_NUMBER = 2;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * <pre>
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  @java.lang.Override
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getFilterBytes() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      filter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PAGE_SIZE_FIELD_NUMBER = 3;
+  private int pageSize_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  @java.lang.Override
+  public int getPageSize() {
+    return pageSize_;
+  }
+
+  public static final int PAGE_TOKEN_FIELD_NUMBER = 4;
+  private volatile java.lang.Object pageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getPageToken() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      pageToken_ = s;
+      return s;
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+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
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+  public com.google.protobuf.ByteString getPageTokenBytes() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
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+      pageToken_ = b;
+      return b;
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+
+  public static final int READ_MASK_FIELD_NUMBER = 5;
+  private com.google.protobuf.FieldMask readMask_;
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
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+   *
+   * <pre>
+   * Mask specifying which fields to read.
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+   *
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+   *
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+   *
+   * <pre>
+   * Mask specifying which fields to read.
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+  public static final int ORDER_BY_FIELD_NUMBER = 6;
+  private volatile java.lang.Object orderBy_;
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `display_name`
+   *   * `create_time`
+   *   * `update_time`
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The orderBy.
+   */
+  @java.lang.Override
+  public java.lang.String getOrderBy() {
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+      java.lang.String s = bs.toStringUtf8();
+      orderBy_ = s;
+      return s;
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+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `display_name`
+   *   * `create_time`
+   *   * `update_time`
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The bytes for orderBy.
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+    if (ref instanceof java.lang.String) {
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+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    private java.lang.Object orderBy_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The orderBy.
+     */
+    public java.lang.String getOrderBy() {
+      java.lang.Object ref = orderBy_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        orderBy_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The bytes for orderBy.
+     */
+    public com.google.protobuf.ByteString getOrderByBytes() {
+      java.lang.Object ref = orderBy_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        orderBy_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderBy(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOrderBy() {
+
+      orderBy_ = getDefaultInstance().getOrderBy();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The bytes for orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListDatasetsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListDatasetsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListDatasetsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListDatasetsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDatasetsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListDatasetsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListDatasetsRequest>() {
+        @java.lang.Override
+        public ListDatasetsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListDatasetsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListDatasetsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListDatasetsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListDatasetsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequestOrBuilder.java
new file mode 100644
index 000000000..819f949aa
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsRequestOrBuilder.java
@@ -0,0 +1,209 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListDatasetsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListDatasetsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset's parent resource.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Dataset's parent resource.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `display_name`
+   *   * `create_time`
+   *   * `update_time`
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The orderBy.
+   */
+  java.lang.String getOrderBy();
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `display_name`
+   *   * `create_time`
+   *   * `update_time`
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The bytes for orderBy.
+   */
+  com.google.protobuf.ByteString getOrderByBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponse.java
new file mode 100644
index 000000000..9d921b954
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponse.java
@@ -0,0 +1,1127 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListDatasetsResponse}
+ */
+public final class ListDatasetsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListDatasetsResponse)
+    ListDatasetsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListDatasetsResponse.newBuilder() to construct.
+  private ListDatasetsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListDatasetsResponse() {
+    datasets_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListDatasetsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListDatasetsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                datasets_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Dataset>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              datasets_.add(
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+    }
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+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
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+  public int hashCode() {
+    if (memoizedHashCode != 0) {
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+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
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+  public static com.google.cloud.aiplatform.v1.ListDatasetsResponse parseFrom(
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+    return PARSER.parseFrom(data, extensionRegistry);
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+      throws com.google.protobuf.InvalidProtocolBufferException {
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+  public static com.google.cloud.aiplatform.v1.ListDatasetsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDatasetsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.ListDatasetsResponse parseFrom(
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+      throws java.io.IOException {
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+  public static com.google.cloud.aiplatform.v1.ListDatasetsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDatasetsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
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+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
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+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
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+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ListDatasetsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
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+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
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+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListDatasetsResponse}
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+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListDatasetsResponse)
+      com.google.cloud.aiplatform.v1.ListDatasetsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListDatasetsResponse_descriptor;
+    }
+
+    @java.lang.Override
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+          .ensureFieldAccessorsInitialized(
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+              com.google.cloud.aiplatform.v1.ListDatasetsResponse.Builder.class);
+    }
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+    // Construct using com.google.cloud.aiplatform.v1.ListDatasetsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
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+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
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+    private void maybeForceBuilderInitialization() {
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+    public Builder clear() {
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+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListDatasetsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListDatasetsResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListDatasetsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListDatasetsResponse build() {
+      com.google.cloud.aiplatform.v1.ListDatasetsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
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+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListDatasetsResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListDatasetsResponse result =
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+      int from_bitField0_ = bitField0_;
+      if (datasetsBuilder_ == null) {
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+      onBuilt();
+      return result;
+    }
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+    @java.lang.Override
+    public Builder clone() {
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+    }
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+    @java.lang.Override
+    public Builder setField(
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+    @java.lang.Override
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+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    @java.lang.Override
+    public Builder setRepeatedField(
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListDatasetsResponse) {
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+        return this;
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+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListDatasetsResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ListDatasetsResponse.getDefaultInstance())
+        return this;
+      if (datasetsBuilder_ == null) {
+        if (!other.datasets_.isEmpty()) {
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+            bitField0_ = (bitField0_ & ~0x00000001);
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+    @java.lang.Override
+    public final boolean isInitialized() {
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+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListDatasetsResponse parsedMessage = null;
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+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListDatasetsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
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+          mergeFrom(parsedMessage);
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+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.Dataset> datasets_ =
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+    private void ensureDatasetsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        datasets_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Dataset>(datasets_);
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+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
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+            com.google.cloud.aiplatform.v1.Dataset.Builder,
+            com.google.cloud.aiplatform.v1.DatasetOrBuilder>
+        datasetsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Dataset> getDatasetsList() {
+      if (datasetsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(datasets_);
+      } else {
+        return datasetsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public int getDatasetsCount() {
+      if (datasetsBuilder_ == null) {
+        return datasets_.size();
+      } else {
+        return datasetsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Dataset getDatasets(int index) {
+      if (datasetsBuilder_ == null) {
+        return datasets_.get(index);
+      } else {
+        return datasetsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder setDatasets(int index, com.google.cloud.aiplatform.v1.Dataset value) {
+      if (datasetsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDatasetsIsMutable();
+        datasets_.set(index, value);
+        onChanged();
+      } else {
+        datasetsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder setDatasets(
+        int index, com.google.cloud.aiplatform.v1.Dataset.Builder builderForValue) {
+      if (datasetsBuilder_ == null) {
+        ensureDatasetsIsMutable();
+        datasets_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        datasetsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder addDatasets(com.google.cloud.aiplatform.v1.Dataset value) {
+      if (datasetsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDatasetsIsMutable();
+        datasets_.add(value);
+        onChanged();
+      } else {
+        datasetsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder addDatasets(int index, com.google.cloud.aiplatform.v1.Dataset value) {
+      if (datasetsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDatasetsIsMutable();
+        datasets_.add(index, value);
+        onChanged();
+      } else {
+        datasetsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder addDatasets(com.google.cloud.aiplatform.v1.Dataset.Builder builderForValue) {
+      if (datasetsBuilder_ == null) {
+        ensureDatasetsIsMutable();
+        datasets_.add(builderForValue.build());
+        onChanged();
+      } else {
+        datasetsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder addDatasets(
+        int index, com.google.cloud.aiplatform.v1.Dataset.Builder builderForValue) {
+      if (datasetsBuilder_ == null) {
+        ensureDatasetsIsMutable();
+        datasets_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        datasetsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder addAllDatasets(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Dataset> values) {
+      if (datasetsBuilder_ == null) {
+        ensureDatasetsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, datasets_);
+        onChanged();
+      } else {
+        datasetsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder clearDatasets() {
+      if (datasetsBuilder_ == null) {
+        datasets_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        datasetsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public Builder removeDatasets(int index) {
+      if (datasetsBuilder_ == null) {
+        ensureDatasetsIsMutable();
+        datasets_.remove(index);
+        onChanged();
+      } else {
+        datasetsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Dataset.Builder getDatasetsBuilder(int index) {
+      return getDatasetsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetsOrBuilder(int index) {
+      if (datasetsBuilder_ == null) {
+        return datasets_.get(index);
+      } else {
+        return datasetsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.DatasetOrBuilder>
+        getDatasetsOrBuilderList() {
+      if (datasetsBuilder_ != null) {
+        return datasetsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(datasets_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Dataset.Builder addDatasetsBuilder() {
+      return getDatasetsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Dataset.Builder addDatasetsBuilder(int index) {
+      return getDatasetsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of Datasets that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Dataset.Builder> getDatasetsBuilderList() {
+      return getDatasetsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Dataset,
+            com.google.cloud.aiplatform.v1.Dataset.Builder,
+            com.google.cloud.aiplatform.v1.DatasetOrBuilder>
+        getDatasetsFieldBuilder() {
+      if (datasetsBuilder_ == null) {
+        datasetsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Dataset,
+                com.google.cloud.aiplatform.v1.Dataset.Builder,
+                com.google.cloud.aiplatform.v1.DatasetOrBuilder>(
+                datasets_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        datasets_ = null;
+      }
+      return datasetsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListDatasetsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListDatasetsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListDatasetsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListDatasetsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListDatasetsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListDatasetsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListDatasetsResponse>() {
+        @java.lang.Override
+        public ListDatasetsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListDatasetsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListDatasetsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListDatasetsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListDatasetsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponseOrBuilder.java
new file mode 100644
index 000000000..87d5f48f0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListDatasetsResponseOrBuilder.java
@@ -0,0 +1,102 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListDatasetsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListDatasetsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * A list of Datasets that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Dataset> getDatasetsList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of Datasets that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.Dataset getDatasets(int index);
+  /**
+   *
+   *
+   * <pre>
+   * A list of Datasets that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+   */
+  int getDatasetsCount();
+  /**
+   *
+   *
+   * <pre>
+   * A list of Datasets that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.DatasetOrBuilder>
+      getDatasetsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of Datasets that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Dataset datasets = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequest.java
new file mode 100644
index 000000000..c8e25e8c7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequest.java
@@ -0,0 +1,1711 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListEndpointsRequest}
+ */
+public final class ListEndpointsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListEndpointsRequest)
+    ListEndpointsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListEndpointsRequest.newBuilder() to construct.
+  private ListEndpointsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListEndpointsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+    orderBy_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListEndpointsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListEndpointsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              orderBy_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListEndpointsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListEndpointsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListEndpointsRequest.class,
+            com.google.cloud.aiplatform.v1.ListEndpointsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location from which to list the Endpoints.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location from which to list the Endpoints.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FILTER_FIELD_NUMBER = 2;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * <pre>
+   * Optional. An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+   *   * `display_name` supports = and, !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `endpoint=1`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The filter.
+   */
+  @java.lang.Override
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+   *   * `display_name` supports = and, !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `endpoint=1`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The bytes for filter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getFilterBytes() {
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+    if (ref instanceof java.lang.String) {
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+
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+   *
+   * <pre>
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+   * </pre>
+   *
+   * <code>int32 page_size = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The pageSize.
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+  public int getPageSize() {
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+
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+  /**
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+   *
+   * <pre>
+   * Optional. The standard list page token.
+   * Typically obtained via
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+   * </pre>
+   *
+   * <code>string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The pageToken.
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+   * Optional. The standard list page token.
+   * Typically obtained via
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+   * </pre>
+   *
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+   * Supported fields:
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+   *   * `create_time`
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.ListEndpointsRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsRequest parseDelimitedFrom(
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ListEndpointsRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListEndpointsRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListEndpointsRequest)
+      com.google.cloud.aiplatform.v1.ListEndpointsRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
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+    private Builder() {
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListEndpointsRequest parsedMessage = null;
+      try {
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location from which to list the Endpoints.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     *
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+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location from which to list the Endpoints.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location from which to list the Endpoints.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location from which to list the Endpoints.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location from which to list the Endpoints.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Optional. An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *   * `display_name` supports = and, !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `endpoint=1`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *   * `display_name` supports = and, !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `endpoint=1`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *   * `display_name` supports = and, !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `endpoint=1`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *   * `display_name` supports = and, !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `endpoint=1`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+     *   * `display_name` supports = and, !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `endpoint=1`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The standard list page token.
+     * Typically obtained via
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * </pre>
+     *
+     * <code>string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The standard list page token.
+     * Typically obtained via
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * </pre>
+     *
+     * <code>string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The standard list page token.
+     * Typically obtained via
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * </pre>
+     *
+     * <code>string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The standard list page token.
+     * Typically obtained via
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * </pre>
+     *
+     * <code>string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The standard list page token.
+     * Typically obtained via
+     * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+     * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+     * </pre>
+     *
+     * <code>string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    private java.lang.Object orderBy_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The orderBy.
+     */
+    public java.lang.String getOrderBy() {
+      java.lang.Object ref = orderBy_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        orderBy_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The bytes for orderBy.
+     */
+    public com.google.protobuf.ByteString getOrderByBytes() {
+      java.lang.Object ref = orderBy_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        orderBy_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderBy(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOrderBy() {
+
+      orderBy_ = getDefaultInstance().getOrderBy();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The bytes for orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListEndpointsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListEndpointsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListEndpointsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListEndpointsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListEndpointsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListEndpointsRequest>() {
+        @java.lang.Override
+        public ListEndpointsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListEndpointsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListEndpointsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListEndpointsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListEndpointsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequestOrBuilder.java
new file mode 100644
index 000000000..a610ad271
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsRequestOrBuilder.java
@@ -0,0 +1,224 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListEndpointsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListEndpointsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location from which to list the Endpoints.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location from which to list the Endpoints.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+   *   * `display_name` supports = and, !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `endpoint=1`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+   *   * `display_name` supports = and, !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `endpoint=1`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The standard list page token.
+   * Typically obtained via
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+   * </pre>
+   *
+   * <code>string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The standard list page token.
+   * Typically obtained via
+   * [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+   * [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+   * </pre>
+   *
+   * <code>string page_token = 4 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+   * </code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+   * </code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5 [(.google.api.field_behavior) = OPTIONAL];
+   * </code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `display_name`
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `display_name, create_time desc`.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The orderBy.
+   */
+  java.lang.String getOrderBy();
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `display_name`
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `display_name, create_time desc`.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The bytes for orderBy.
+   */
+  com.google.protobuf.ByteString getOrderByBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponse.java
new file mode 100644
index 000000000..0bd30be77
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponse.java
@@ -0,0 +1,1135 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListEndpointsResponse}
+ */
+public final class ListEndpointsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListEndpointsResponse)
+    ListEndpointsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListEndpointsResponse.newBuilder() to construct.
+  private ListEndpointsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListEndpointsResponse() {
+    endpoints_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListEndpointsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListEndpointsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                endpoints_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Endpoint>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              endpoints_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Endpoint.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        endpoints_ = java.util.Collections.unmodifiableList(endpoints_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListEndpointsResponse.class,
+            com.google.cloud.aiplatform.v1.ListEndpointsResponse.Builder.class);
+  }
+
+  public static final int ENDPOINTS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.Endpoint> endpoints_;
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Endpoint> getEndpointsList() {
+    return endpoints_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+      getEndpointsOrBuilderList() {
+    return endpoints_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  @java.lang.Override
+  public int getEndpointsCount() {
+    return endpoints_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Endpoint getEndpoints(int index) {
+    return endpoints_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointsOrBuilder(int index) {
+    return endpoints_.get(index);
+  }
+
+  public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object nextPageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getNextPageToken() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      nextPageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNextPageTokenBytes() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      nextPageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < endpoints_.size(); i++) {
+      output.writeMessage(1, endpoints_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < endpoints_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, endpoints_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListEndpointsResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ListEndpointsResponse other =
+        (com.google.cloud.aiplatform.v1.ListEndpointsResponse) obj;
+
+    if (!getEndpointsList().equals(other.getEndpointsList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getEndpointsCount() > 0) {
+      hash = (37 * hash) + ENDPOINTS_FIELD_NUMBER;
+      hash = (53 * hash) + getEndpointsList().hashCode();
+    }
+    hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getNextPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ListEndpointsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListEndpointsResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListEndpointsResponse)
+      com.google.cloud.aiplatform.v1.ListEndpointsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ListEndpointsResponse.class,
+              com.google.cloud.aiplatform.v1.ListEndpointsResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ListEndpointsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getEndpointsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (endpointsBuilder_ == null) {
+        endpoints_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        endpointsBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListEndpointsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListEndpointsResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListEndpointsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListEndpointsResponse build() {
+      com.google.cloud.aiplatform.v1.ListEndpointsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListEndpointsResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListEndpointsResponse result =
+          new com.google.cloud.aiplatform.v1.ListEndpointsResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (endpointsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          endpoints_ = java.util.Collections.unmodifiableList(endpoints_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.endpoints_ = endpoints_;
+      } else {
+        result.endpoints_ = endpointsBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListEndpointsResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListEndpointsResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListEndpointsResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ListEndpointsResponse.getDefaultInstance())
+        return this;
+      if (endpointsBuilder_ == null) {
+        if (!other.endpoints_.isEmpty()) {
+          if (endpoints_.isEmpty()) {
+            endpoints_ = other.endpoints_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureEndpointsIsMutable();
+            endpoints_.addAll(other.endpoints_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.endpoints_.isEmpty()) {
+          if (endpointsBuilder_.isEmpty()) {
+            endpointsBuilder_.dispose();
+            endpointsBuilder_ = null;
+            endpoints_ = other.endpoints_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            endpointsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getEndpointsFieldBuilder()
+                    : null;
+          } else {
+            endpointsBuilder_.addAllMessages(other.endpoints_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListEndpointsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListEndpointsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.Endpoint> endpoints_ =
+        java.util.Collections.emptyList();
+
+    private void ensureEndpointsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        endpoints_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Endpoint>(endpoints_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Endpoint,
+            com.google.cloud.aiplatform.v1.Endpoint.Builder,
+            com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+        endpointsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Endpoint> getEndpointsList() {
+      if (endpointsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(endpoints_);
+      } else {
+        return endpointsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public int getEndpointsCount() {
+      if (endpointsBuilder_ == null) {
+        return endpoints_.size();
+      } else {
+        return endpointsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint getEndpoints(int index) {
+      if (endpointsBuilder_ == null) {
+        return endpoints_.get(index);
+      } else {
+        return endpointsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder setEndpoints(int index, com.google.cloud.aiplatform.v1.Endpoint value) {
+      if (endpointsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEndpointsIsMutable();
+        endpoints_.set(index, value);
+        onChanged();
+      } else {
+        endpointsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder setEndpoints(
+        int index, com.google.cloud.aiplatform.v1.Endpoint.Builder builderForValue) {
+      if (endpointsBuilder_ == null) {
+        ensureEndpointsIsMutable();
+        endpoints_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        endpointsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder addEndpoints(com.google.cloud.aiplatform.v1.Endpoint value) {
+      if (endpointsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEndpointsIsMutable();
+        endpoints_.add(value);
+        onChanged();
+      } else {
+        endpointsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder addEndpoints(int index, com.google.cloud.aiplatform.v1.Endpoint value) {
+      if (endpointsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEndpointsIsMutable();
+        endpoints_.add(index, value);
+        onChanged();
+      } else {
+        endpointsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder addEndpoints(com.google.cloud.aiplatform.v1.Endpoint.Builder builderForValue) {
+      if (endpointsBuilder_ == null) {
+        ensureEndpointsIsMutable();
+        endpoints_.add(builderForValue.build());
+        onChanged();
+      } else {
+        endpointsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder addEndpoints(
+        int index, com.google.cloud.aiplatform.v1.Endpoint.Builder builderForValue) {
+      if (endpointsBuilder_ == null) {
+        ensureEndpointsIsMutable();
+        endpoints_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        endpointsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder addAllEndpoints(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Endpoint> values) {
+      if (endpointsBuilder_ == null) {
+        ensureEndpointsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, endpoints_);
+        onChanged();
+      } else {
+        endpointsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder clearEndpoints() {
+      if (endpointsBuilder_ == null) {
+        endpoints_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        endpointsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public Builder removeEndpoints(int index) {
+      if (endpointsBuilder_ == null) {
+        ensureEndpointsIsMutable();
+        endpoints_.remove(index);
+        onChanged();
+      } else {
+        endpointsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint.Builder getEndpointsBuilder(int index) {
+      return getEndpointsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointsOrBuilder(int index) {
+      if (endpointsBuilder_ == null) {
+        return endpoints_.get(index);
+      } else {
+        return endpointsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+        getEndpointsOrBuilderList() {
+      if (endpointsBuilder_ != null) {
+        return endpointsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(endpoints_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint.Builder addEndpointsBuilder() {
+      return getEndpointsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint.Builder addEndpointsBuilder(int index) {
+      return getEndpointsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Endpoints in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Endpoint.Builder>
+        getEndpointsBuilderList() {
+      return getEndpointsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Endpoint,
+            com.google.cloud.aiplatform.v1.Endpoint.Builder,
+            com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+        getEndpointsFieldBuilder() {
+      if (endpointsBuilder_ == null) {
+        endpointsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Endpoint,
+                com.google.cloud.aiplatform.v1.Endpoint.Builder,
+                com.google.cloud.aiplatform.v1.EndpointOrBuilder>(
+                endpoints_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        endpoints_ = null;
+      }
+      return endpointsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListEndpointsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListEndpointsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListEndpointsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListEndpointsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListEndpointsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListEndpointsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListEndpointsResponse>() {
+        @java.lang.Override
+        public ListEndpointsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListEndpointsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListEndpointsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListEndpointsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListEndpointsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponseOrBuilder.java
new file mode 100644
index 000000000..8d8ed8910
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListEndpointsResponseOrBuilder.java
@@ -0,0 +1,104 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListEndpointsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListEndpointsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Endpoint> getEndpointsList();
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.Endpoint getEndpoints(int index);
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  int getEndpointsCount();
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+      getEndpointsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * List of Endpoints in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Endpoint endpoints = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequest.java
new file mode 100644
index 000000000..c865aa9d8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequest.java
@@ -0,0 +1,1464 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest}
+ */
+public final class ListHyperparameterTuningJobsRequest
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest)
+    ListHyperparameterTuningJobsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListHyperparameterTuningJobsRequest.newBuilder() to construct.
+  private ListHyperparameterTuningJobsRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListHyperparameterTuningJobsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListHyperparameterTuningJobsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListHyperparameterTuningJobsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
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+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
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+
+              parent_ = s;
+              break;
+            }
+          case 18:
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+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
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+              java.lang.String s = input.readStringRequireUtf8();
+
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+              break;
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+          case 42:
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+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
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+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
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+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
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+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.class,
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the HyperparameterTuningJobs
+   * from. Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the HyperparameterTuningJobs
+   * from. Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FILTER_FIELD_NUMBER = 2;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  @java.lang.Override
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getFilterBytes() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      filter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PAGE_SIZE_FIELD_NUMBER = 3;
+  private int pageSize_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  @java.lang.Override
+  public int getPageSize() {
+    return pageSize_;
+  }
+
+  public static final int PAGE_TOKEN_FIELD_NUMBER = 4;
+  private volatile java.lang.Object pageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getPageToken() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      pageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getPageTokenBytes() {
+    java.lang.Object ref = pageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      pageToken_ = b;
+      return b;
+    } else {
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+    }
+  }
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+  private com.google.protobuf.FieldMask readMask_;
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+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  @java.lang.Override
+  public boolean hasReadMask() {
+    return readMask_ != null;
+  }
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+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
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+   */
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+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
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+    if (isInitialized == 1) return true;
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+    if (!getPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, pageToken_);
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+    if (size != -1) return size;
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+    size = 0;
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+    return true;
+  }
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+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
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+    hash = (19 * hash) + getDescriptor().hashCode();
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+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
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+  /**
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+   *
+   * <pre>
+   * Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest}
+   */
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
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+      try {
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+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the HyperparameterTuningJobs
+     * from. Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the HyperparameterTuningJobs
+     * from. Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the HyperparameterTuningJobs
+     * from. Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
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+      parent_ = value;
+      onChanged();
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+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the HyperparameterTuningJobs
+     * from. Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the HyperparameterTuningJobs
+     * from. Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
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+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
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+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
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+     *
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+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
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+      filter_ = value;
+      onChanged();
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
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+     *
+     * <code>string filter = 2;</code>
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+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+     *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+     *  * `NOT display_name="my_job"`
+     *  * `state="JOB_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
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+     *
+     * <code>int32 page_size = 3;</code>
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+    /**
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+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
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+     * The standard list page token.
+     * Typically obtained via
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * </pre>
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+     * <code>string page_token = 4;</code>
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+     * The standard list page token.
+     * Typically obtained via
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
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+     * @param value The pageToken to set.
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+    public Builder setPageToken(java.lang.String value) {
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+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
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+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+     * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
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+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListHyperparameterTuningJobsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListHyperparameterTuningJobsRequest>() {
+        @java.lang.Override
+        public ListHyperparameterTuningJobsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListHyperparameterTuningJobsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListHyperparameterTuningJobsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListHyperparameterTuningJobsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequestOrBuilder.java
new file mode 100644
index 000000000..3eaefc01a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsRequestOrBuilder.java
@@ -0,0 +1,176 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListHyperparameterTuningJobsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the HyperparameterTuningJobs
+   * from. Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the HyperparameterTuningJobs
+   * from. Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+   *  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+   *  * `NOT display_name="my_job"`
+   *  * `state="JOB_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+   * [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponse.java
new file mode 100644
index 000000000..606acfbba
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponse.java
@@ -0,0 +1,1254 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse}
+ */
+public final class ListHyperparameterTuningJobsResponse
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse)
+    ListHyperparameterTuningJobsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListHyperparameterTuningJobsResponse.newBuilder() to construct.
+  private ListHyperparameterTuningJobsResponse(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListHyperparameterTuningJobsResponse() {
+    hyperparameterTuningJobs_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListHyperparameterTuningJobsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListHyperparameterTuningJobsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                hyperparameterTuningJobs_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1.HyperparameterTuningJob>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              hyperparameterTuningJobs_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.HyperparameterTuningJob.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        hyperparameterTuningJobs_ =
+            java.util.Collections.unmodifiableList(hyperparameterTuningJobs_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.JobServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.class,
+            com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.Builder.class);
+  }
+
+  public static final int HYPERPARAMETER_TUNING_JOBS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+      hyperparameterTuningJobs_;
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+      getHyperparameterTuningJobsList() {
+    return hyperparameterTuningJobs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>
+      getHyperparameterTuningJobsOrBuilderList() {
+    return hyperparameterTuningJobs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public int getHyperparameterTuningJobsCount() {
+    return hyperparameterTuningJobs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterTuningJobs(
+      int index) {
+    return hyperparameterTuningJobs_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder
+      getHyperparameterTuningJobsOrBuilder(int index) {
+    return hyperparameterTuningJobs_.get(index);
+  }
+
+  public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object nextPageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getNextPageToken() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      nextPageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNextPageTokenBytes() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      nextPageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < hyperparameterTuningJobs_.size(); i++) {
+      output.writeMessage(1, hyperparameterTuningJobs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < hyperparameterTuningJobs_.size(); i++) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              1, hyperparameterTuningJobs_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse other =
+        (com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse) obj;
+
+    if (!getHyperparameterTuningJobsList().equals(other.getHyperparameterTuningJobsList()))
+      return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getHyperparameterTuningJobsCount() > 0) {
+      hash = (37 * hash) + HYPERPARAMETER_TUNING_JOBS_FIELD_NUMBER;
+      hash = (53 * hash) + getHyperparameterTuningJobsList().hashCode();
+    }
+    hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getNextPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse)
+      com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.class,
+              com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getHyperparameterTuningJobsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        hyperparameterTuningJobs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        hyperparameterTuningJobsBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.JobServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListHyperparameterTuningJobsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse build() {
+      com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse result =
+          new com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          hyperparameterTuningJobs_ =
+              java.util.Collections.unmodifiableList(hyperparameterTuningJobs_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.hyperparameterTuningJobs_ = hyperparameterTuningJobs_;
+      } else {
+        result.hyperparameterTuningJobs_ = hyperparameterTuningJobsBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+              .getDefaultInstance()) return this;
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        if (!other.hyperparameterTuningJobs_.isEmpty()) {
+          if (hyperparameterTuningJobs_.isEmpty()) {
+            hyperparameterTuningJobs_ = other.hyperparameterTuningJobs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureHyperparameterTuningJobsIsMutable();
+            hyperparameterTuningJobs_.addAll(other.hyperparameterTuningJobs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.hyperparameterTuningJobs_.isEmpty()) {
+          if (hyperparameterTuningJobsBuilder_.isEmpty()) {
+            hyperparameterTuningJobsBuilder_.dispose();
+            hyperparameterTuningJobsBuilder_ = null;
+            hyperparameterTuningJobs_ = other.hyperparameterTuningJobs_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            hyperparameterTuningJobsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getHyperparameterTuningJobsFieldBuilder()
+                    : null;
+          } else {
+            hyperparameterTuningJobsBuilder_.addAllMessages(other.hyperparameterTuningJobs_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+        hyperparameterTuningJobs_ = java.util.Collections.emptyList();
+
+    private void ensureHyperparameterTuningJobsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        hyperparameterTuningJobs_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>(
+                hyperparameterTuningJobs_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>
+        hyperparameterTuningJobsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+        getHyperparameterTuningJobsList() {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(hyperparameterTuningJobs_);
+      } else {
+        return hyperparameterTuningJobsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public int getHyperparameterTuningJobsCount() {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        return hyperparameterTuningJobs_.size();
+      } else {
+        return hyperparameterTuningJobsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterTuningJobs(
+        int index) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        return hyperparameterTuningJobs_.get(index);
+      } else {
+        return hyperparameterTuningJobsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder setHyperparameterTuningJobs(
+        int index, com.google.cloud.aiplatform.v1.HyperparameterTuningJob value) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureHyperparameterTuningJobsIsMutable();
+        hyperparameterTuningJobs_.set(index, value);
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder setHyperparameterTuningJobs(
+        int index, com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder builderForValue) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        ensureHyperparameterTuningJobsIsMutable();
+        hyperparameterTuningJobs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder addHyperparameterTuningJobs(
+        com.google.cloud.aiplatform.v1.HyperparameterTuningJob value) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureHyperparameterTuningJobsIsMutable();
+        hyperparameterTuningJobs_.add(value);
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder addHyperparameterTuningJobs(
+        int index, com.google.cloud.aiplatform.v1.HyperparameterTuningJob value) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureHyperparameterTuningJobsIsMutable();
+        hyperparameterTuningJobs_.add(index, value);
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder addHyperparameterTuningJobs(
+        com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder builderForValue) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        ensureHyperparameterTuningJobsIsMutable();
+        hyperparameterTuningJobs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder addHyperparameterTuningJobs(
+        int index, com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder builderForValue) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        ensureHyperparameterTuningJobsIsMutable();
+        hyperparameterTuningJobs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder addAllHyperparameterTuningJobs(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+            values) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        ensureHyperparameterTuningJobsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, hyperparameterTuningJobs_);
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder clearHyperparameterTuningJobs() {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        hyperparameterTuningJobs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public Builder removeHyperparameterTuningJobs(int index) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        ensureHyperparameterTuningJobsIsMutable();
+        hyperparameterTuningJobs_.remove(index);
+        onChanged();
+      } else {
+        hyperparameterTuningJobsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder
+        getHyperparameterTuningJobsBuilder(int index) {
+      return getHyperparameterTuningJobsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder
+        getHyperparameterTuningJobsOrBuilder(int index) {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        return hyperparameterTuningJobs_.get(index);
+      } else {
+        return hyperparameterTuningJobsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>
+        getHyperparameterTuningJobsOrBuilderList() {
+      if (hyperparameterTuningJobsBuilder_ != null) {
+        return hyperparameterTuningJobsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(hyperparameterTuningJobs_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder
+        addHyperparameterTuningJobsBuilder() {
+      return getHyperparameterTuningJobsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.HyperparameterTuningJob.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder
+        addHyperparameterTuningJobsBuilder(int index) {
+      return getHyperparameterTuningJobsFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.HyperparameterTuningJob.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of HyperparameterTuningJobs in the requested page.
+     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder>
+        getHyperparameterTuningJobsBuilderList() {
+      return getHyperparameterTuningJobsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder,
+            com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>
+        getHyperparameterTuningJobsFieldBuilder() {
+      if (hyperparameterTuningJobsBuilder_ == null) {
+        hyperparameterTuningJobsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.HyperparameterTuningJob,
+                com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder,
+                com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>(
+                hyperparameterTuningJobs_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        hyperparameterTuningJobs_ = null;
+      }
+      return hyperparameterTuningJobsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListHyperparameterTuningJobsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListHyperparameterTuningJobsResponse>() {
+        @java.lang.Override
+        public ListHyperparameterTuningJobsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListHyperparameterTuningJobsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListHyperparameterTuningJobsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListHyperparameterTuningJobsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponseOrBuilder.java
new file mode 100644
index 000000000..57c97da65
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListHyperparameterTuningJobsResponseOrBuilder.java
@@ -0,0 +1,123 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/job_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListHyperparameterTuningJobsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.HyperparameterTuningJob>
+      getHyperparameterTuningJobsList();
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.HyperparameterTuningJob getHyperparameterTuningJobs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  int getHyperparameterTuningJobsCount();
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder>
+      getHyperparameterTuningJobsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * List of HyperparameterTuningJobs in the requested page.
+   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.HyperparameterTuningJobOrBuilder
+      getHyperparameterTuningJobsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequest.java
new file mode 100644
index 000000000..136235733
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequest.java
@@ -0,0 +1,1417 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest}
+ */
+public final class ListModelEvaluationSlicesRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest)
+    ListModelEvaluationSlicesRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListModelEvaluationSlicesRequest.newBuilder() to construct.
+  private ListModelEvaluationSlicesRequest(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListModelEvaluationSlicesRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListModelEvaluationSlicesRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListModelEvaluationSlicesRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.class,
+            com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
+   * from. Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
+   * from. Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int FILTER_FIELD_NUMBER = 2;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   *   * `slice.dimension` - for =.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  @java.lang.Override
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
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+   *
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+    /**
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+     *
+     * <pre>
+     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
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+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+     * </pre>
+     *
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+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
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+     * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     *
+     * <pre>
+     * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
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+     * </pre>
+     *
+     * <code>
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+     * </pre>
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+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     *   * `slice.dimension` - for =.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     *   * `slice.dimension` - for =.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     *   * `slice.dimension` - for =.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest)
+  private static final com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListModelEvaluationSlicesRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListModelEvaluationSlicesRequest>() {
+        @java.lang.Override
+        public ListModelEvaluationSlicesRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListModelEvaluationSlicesRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListModelEvaluationSlicesRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListModelEvaluationSlicesRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequestOrBuilder.java
new file mode 100644
index 000000000..828293c61
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesRequestOrBuilder.java
@@ -0,0 +1,164 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListModelEvaluationSlicesRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
+   * from. Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
+   * from. Format:
+   * `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   *   * `slice.dimension` - for =.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   *   * `slice.dimension` - for =.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponse.java
new file mode 100644
index 000000000..0d46964f6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponse.java
@@ -0,0 +1,1196 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse}
+ */
+public final class ListModelEvaluationSlicesResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse)
+    ListModelEvaluationSlicesResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListModelEvaluationSlicesResponse.newBuilder() to construct.
+  private ListModelEvaluationSlicesResponse(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListModelEvaluationSlicesResponse() {
+    modelEvaluationSlices_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListModelEvaluationSlicesResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListModelEvaluationSlicesResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                modelEvaluationSlices_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              modelEvaluationSlices_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ModelEvaluationSlice.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
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+  }
+
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+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+
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+  private java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+      modelEvaluationSlices_;
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
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+  public java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+      getModelEvaluationSlicesList() {
+    return modelEvaluationSlices_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder>
+      getModelEvaluationSlicesOrBuilderList() {
+    return modelEvaluationSlices_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public int getModelEvaluationSlicesCount() {
+    return modelEvaluationSlices_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelEvaluationSlice getModelEvaluationSlices(int index) {
+    return modelEvaluationSlices_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder
+      getModelEvaluationSlicesOrBuilder(int index) {
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+  }
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+  /**
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+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
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+   */
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+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
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+   * </pre>
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+  public int getSerializedSize() {
+    int size = memoizedSize;
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+    for (int i = 0; i < modelEvaluationSlices_.size(); i++) {
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+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse other =
+        (com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse) obj;
+
+    if (!getModelEvaluationSlicesList().equals(other.getModelEvaluationSlicesList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getModelEvaluationSlicesCount() > 0) {
+      hash = (37 * hash) + MODEL_EVALUATION_SLICES_FIELD_NUMBER;
+      hash = (53 * hash) + getModelEvaluationSlicesList().hashCode();
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+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
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+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse)
+      com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.class,
+              com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getModelEvaluationSlicesFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (modelEvaluationSlicesBuilder_ == null) {
+        modelEvaluationSlices_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        modelEvaluationSlicesBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse build() {
+      com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse result =
+          new com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (modelEvaluationSlicesBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          modelEvaluationSlices_ = java.util.Collections.unmodifiableList(modelEvaluationSlices_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.modelEvaluationSlices_ = modelEvaluationSlices_;
+      } else {
+        result.modelEvaluationSlices_ = modelEvaluationSlicesBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.getDefaultInstance())
+        return this;
+      if (modelEvaluationSlicesBuilder_ == null) {
+        if (!other.modelEvaluationSlices_.isEmpty()) {
+          if (modelEvaluationSlices_.isEmpty()) {
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+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureModelEvaluationSlicesIsMutable();
+            modelEvaluationSlices_.addAll(other.modelEvaluationSlices_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.modelEvaluationSlices_.isEmpty()) {
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+            bitField0_ = (bitField0_ & ~0x00000001);
+            modelEvaluationSlicesBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getModelEvaluationSlicesFieldBuilder()
+                    : null;
+          } else {
+            modelEvaluationSlicesBuilder_.addAllMessages(other.modelEvaluationSlices_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+        modelEvaluationSlices_ = java.util.Collections.emptyList();
+
+    private void ensureModelEvaluationSlicesIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        modelEvaluationSlices_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>(
+                modelEvaluationSlices_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder>
+        modelEvaluationSlicesBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+        getModelEvaluationSlicesList() {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(modelEvaluationSlices_);
+      } else {
+        return modelEvaluationSlicesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public int getModelEvaluationSlicesCount() {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        return modelEvaluationSlices_.size();
+      } else {
+        return modelEvaluationSlicesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice getModelEvaluationSlices(int index) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        return modelEvaluationSlices_.get(index);
+      } else {
+        return modelEvaluationSlicesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder setModelEvaluationSlices(
+        int index, com.google.cloud.aiplatform.v1.ModelEvaluationSlice value) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelEvaluationSlicesIsMutable();
+        modelEvaluationSlices_.set(index, value);
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder setModelEvaluationSlices(
+        int index, com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder builderForValue) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        ensureModelEvaluationSlicesIsMutable();
+        modelEvaluationSlices_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder addModelEvaluationSlices(
+        com.google.cloud.aiplatform.v1.ModelEvaluationSlice value) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelEvaluationSlicesIsMutable();
+        modelEvaluationSlices_.add(value);
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder addModelEvaluationSlices(
+        int index, com.google.cloud.aiplatform.v1.ModelEvaluationSlice value) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelEvaluationSlicesIsMutable();
+        modelEvaluationSlices_.add(index, value);
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder addModelEvaluationSlices(
+        com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder builderForValue) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        ensureModelEvaluationSlicesIsMutable();
+        modelEvaluationSlices_.add(builderForValue.build());
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder addModelEvaluationSlices(
+        int index, com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder builderForValue) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        ensureModelEvaluationSlicesIsMutable();
+        modelEvaluationSlices_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder addAllModelEvaluationSlices(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.ModelEvaluationSlice> values) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        ensureModelEvaluationSlicesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, modelEvaluationSlices_);
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder clearModelEvaluationSlices() {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        modelEvaluationSlices_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public Builder removeModelEvaluationSlices(int index) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        ensureModelEvaluationSlicesIsMutable();
+        modelEvaluationSlices_.remove(index);
+        onChanged();
+      } else {
+        modelEvaluationSlicesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder
+        getModelEvaluationSlicesBuilder(int index) {
+      return getModelEvaluationSlicesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder
+        getModelEvaluationSlicesOrBuilder(int index) {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        return modelEvaluationSlices_.get(index);
+      } else {
+        return modelEvaluationSlicesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder>
+        getModelEvaluationSlicesOrBuilderList() {
+      if (modelEvaluationSlicesBuilder_ != null) {
+        return modelEvaluationSlicesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(modelEvaluationSlices_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder
+        addModelEvaluationSlicesBuilder() {
+      return getModelEvaluationSlicesFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.ModelEvaluationSlice.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder
+        addModelEvaluationSlicesBuilder(int index) {
+      return getModelEvaluationSlicesFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.ModelEvaluationSlice.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder>
+        getModelEvaluationSlicesBuilderList() {
+      return getModelEvaluationSlicesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder>
+        getModelEvaluationSlicesFieldBuilder() {
+      if (modelEvaluationSlicesBuilder_ == null) {
+        modelEvaluationSlicesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ModelEvaluationSlice,
+                com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder,
+                com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder>(
+                modelEvaluationSlices_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        modelEvaluationSlices_ = null;
+      }
+      return modelEvaluationSlicesBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+     * page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse)
+  private static final com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListModelEvaluationSlicesResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListModelEvaluationSlicesResponse>() {
+        @java.lang.Override
+        public ListModelEvaluationSlicesResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListModelEvaluationSlicesResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListModelEvaluationSlicesResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListModelEvaluationSlicesResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponseOrBuilder.java
new file mode 100644
index 000000000..fc6b60d56
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationSlicesResponseOrBuilder.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListModelEvaluationSlicesResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluationSlice>
+      getModelEvaluationSlicesList();
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ModelEvaluationSlice getModelEvaluationSlices(int index);
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  int getModelEvaluationSlicesCount();
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder>
+      getModelEvaluationSlicesOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluationSlice model_evaluation_slices = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder getModelEvaluationSlicesOrBuilder(
+      int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+   * page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequest.java
new file mode 100644
index 000000000..ece3fa5f8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequest.java
@@ -0,0 +1,1395 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationsRequest}
+ */
+public final class ListModelEvaluationsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListModelEvaluationsRequest)
+    ListModelEvaluationsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListModelEvaluationsRequest.newBuilder() to construct.
+  private ListModelEvaluationsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListModelEvaluationsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListModelEvaluationsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListModelEvaluationsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest.class,
+            com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest.Builder.class);
+  }
+
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+  /**
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+   *
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+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+   *
+   * <pre>
+   * Required. The resource name of the Model to list the ModelEvaluations from.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
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+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationsRequest}
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+    /**
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+     * <pre>
+     * Required. The resource name of the Model to list the ModelEvaluations from.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+    /**
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+     * Required. The resource name of the Model to list the ModelEvaluations from.
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+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
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+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Model to list the ModelEvaluations from.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
+     * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListModelEvaluationsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListModelEvaluationsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListModelEvaluationsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListModelEvaluationsRequest>() {
+        @java.lang.Override
+        public ListModelEvaluationsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListModelEvaluationsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListModelEvaluationsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListModelEvaluationsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequestOrBuilder.java
new file mode 100644
index 000000000..6500efd36
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsRequestOrBuilder.java
@@ -0,0 +1,160 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListModelEvaluationsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListModelEvaluationsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Model to list the ModelEvaluations from.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Model to list the ModelEvaluations from.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
+   * [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponse.java
new file mode 100644
index 000000000..5de34eb6d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponse.java
@@ -0,0 +1,1150 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationsResponse}
+ */
+public final class ListModelEvaluationsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListModelEvaluationsResponse)
+    ListModelEvaluationsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListModelEvaluationsResponse.newBuilder() to construct.
+  private ListModelEvaluationsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListModelEvaluationsResponse() {
+    modelEvaluations_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListModelEvaluationsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListModelEvaluationsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
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+      throws com.google.protobuf.InvalidProtocolBufferException {
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+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+    return PARSER.parseFrom(data);
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+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse parseFrom(
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse parseFrom(
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse parseFrom(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
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+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
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+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
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+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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+  /**
+   *
+   *
+   * <pre>
+   * Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListModelEvaluationsResponse}
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+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListModelEvaluationsResponse)
+      com.google.cloud.aiplatform.v1.ListModelEvaluationsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+    // Construct using com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse.newBuilder()
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+    private void maybeForceBuilderInitialization() {
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+      nextPageToken_ = "";
+
+      return this;
+    }
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+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse build() {
+      com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
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+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse result =
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+    @java.lang.Override
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+    @java.lang.Override
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+    @java.lang.Override
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse) {
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+        return this;
+      }
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+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse.getDefaultInstance())
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+      if (modelEvaluationsBuilder_ == null) {
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+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse parsedMessage = null;
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+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
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+          mergeFrom(parsedMessage);
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+    private int bitField0_;
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+    private java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluation> modelEvaluations_ =
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+    private void ensureModelEvaluationsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
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+    private com.google.protobuf.RepeatedFieldBuilderV3<
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+            com.google.cloud.aiplatform.v1.ModelEvaluation.Builder,
+            com.google.cloud.aiplatform.v1.ModelEvaluationOrBuilder>
+        modelEvaluationsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluation>
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+      if (modelEvaluationsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(modelEvaluations_);
+      } else {
+        return modelEvaluationsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public int getModelEvaluationsCount() {
+      if (modelEvaluationsBuilder_ == null) {
+        return modelEvaluations_.size();
+      } else {
+        return modelEvaluationsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluation getModelEvaluations(int index) {
+      if (modelEvaluationsBuilder_ == null) {
+        return modelEvaluations_.get(index);
+      } else {
+        return modelEvaluationsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder setModelEvaluations(
+        int index, com.google.cloud.aiplatform.v1.ModelEvaluation value) {
+      if (modelEvaluationsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelEvaluationsIsMutable();
+        modelEvaluations_.set(index, value);
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder setModelEvaluations(
+        int index, com.google.cloud.aiplatform.v1.ModelEvaluation.Builder builderForValue) {
+      if (modelEvaluationsBuilder_ == null) {
+        ensureModelEvaluationsIsMutable();
+        modelEvaluations_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder addModelEvaluations(com.google.cloud.aiplatform.v1.ModelEvaluation value) {
+      if (modelEvaluationsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelEvaluationsIsMutable();
+        modelEvaluations_.add(value);
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder addModelEvaluations(
+        int index, com.google.cloud.aiplatform.v1.ModelEvaluation value) {
+      if (modelEvaluationsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelEvaluationsIsMutable();
+        modelEvaluations_.add(index, value);
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder addModelEvaluations(
+        com.google.cloud.aiplatform.v1.ModelEvaluation.Builder builderForValue) {
+      if (modelEvaluationsBuilder_ == null) {
+        ensureModelEvaluationsIsMutable();
+        modelEvaluations_.add(builderForValue.build());
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder addModelEvaluations(
+        int index, com.google.cloud.aiplatform.v1.ModelEvaluation.Builder builderForValue) {
+      if (modelEvaluationsBuilder_ == null) {
+        ensureModelEvaluationsIsMutable();
+        modelEvaluations_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder addAllModelEvaluations(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.ModelEvaluation> values) {
+      if (modelEvaluationsBuilder_ == null) {
+        ensureModelEvaluationsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, modelEvaluations_);
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder clearModelEvaluations() {
+      if (modelEvaluationsBuilder_ == null) {
+        modelEvaluations_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public Builder removeModelEvaluations(int index) {
+      if (modelEvaluationsBuilder_ == null) {
+        ensureModelEvaluationsIsMutable();
+        modelEvaluations_.remove(index);
+        onChanged();
+      } else {
+        modelEvaluationsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluation.Builder getModelEvaluationsBuilder(
+        int index) {
+      return getModelEvaluationsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationOrBuilder getModelEvaluationsOrBuilder(
+        int index) {
+      if (modelEvaluationsBuilder_ == null) {
+        return modelEvaluations_.get(index);
+      } else {
+        return modelEvaluationsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.ModelEvaluationOrBuilder>
+        getModelEvaluationsOrBuilderList() {
+      if (modelEvaluationsBuilder_ != null) {
+        return modelEvaluationsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(modelEvaluations_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluation.Builder addModelEvaluationsBuilder() {
+      return getModelEvaluationsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.ModelEvaluation.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluation.Builder addModelEvaluationsBuilder(
+        int index) {
+      return getModelEvaluationsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.ModelEvaluation.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of ModelEvaluations in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluation.Builder>
+        getModelEvaluationsBuilderList() {
+      return getModelEvaluationsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ModelEvaluation,
+            com.google.cloud.aiplatform.v1.ModelEvaluation.Builder,
+            com.google.cloud.aiplatform.v1.ModelEvaluationOrBuilder>
+        getModelEvaluationsFieldBuilder() {
+      if (modelEvaluationsBuilder_ == null) {
+        modelEvaluationsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ModelEvaluation,
+                com.google.cloud.aiplatform.v1.ModelEvaluation.Builder,
+                com.google.cloud.aiplatform.v1.ModelEvaluationOrBuilder>(
+                modelEvaluations_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        modelEvaluations_ = null;
+      }
+      return modelEvaluationsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListModelEvaluationsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListModelEvaluationsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListModelEvaluationsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListModelEvaluationsResponse>() {
+        @java.lang.Override
+        public ListModelEvaluationsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListModelEvaluationsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListModelEvaluationsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListModelEvaluationsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponseOrBuilder.java
new file mode 100644
index 000000000..6f653c964
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelEvaluationsResponseOrBuilder.java
@@ -0,0 +1,104 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListModelEvaluationsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListModelEvaluationsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.ModelEvaluation> getModelEvaluationsList();
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.ModelEvaluation getModelEvaluations(int index);
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+   */
+  int getModelEvaluationsCount();
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.ModelEvaluationOrBuilder>
+      getModelEvaluationsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * List of ModelEvaluations in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.ModelEvaluation model_evaluations = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.ModelEvaluationOrBuilder getModelEvaluationsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequest.java
new file mode 100644
index 000000000..b2023b8d3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequest.java
@@ -0,0 +1,1698 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListModelsRequest}
+ */
+public final class ListModelsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListModelsRequest)
+    ListModelsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListModelsRequest.newBuilder() to construct.
+  private ListModelsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListModelsRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+    orderBy_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListModelsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListModelsRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
+          case 24:
+            {
+              pageSize_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pageToken_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (readMask_ != null) {
+                subBuilder = readMask_.toBuilder();
+              }
+              readMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(readMask_);
+                readMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              orderBy_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListModelsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListModelsRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListModelsRequest.class,
+            com.google.cloud.aiplatform.v1.ListModelsRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the Models from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the Models from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
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+   * An expression for filtering the results of the request. For field names
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+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
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+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
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+   *
+   * <pre>
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
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+   * </pre>
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+   *
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+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
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+   * <pre>
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+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+   * </pre>
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.ListModelsRequest parseFrom(
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.ListModelsRequest parseDelimitedFrom(
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+
+  public static com.google.cloud.aiplatform.v1.ListModelsRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
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+
+  public static Builder newBuilder() {
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+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ListModelsRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
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+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListModelsRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListModelsRequest)
+      com.google.cloud.aiplatform.v1.ListModelsRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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+    private Builder() {
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+      filter_ = "";
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+
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+    @java.lang.Override
+    public Builder mergeFrom(
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
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+      try {
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+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the Models from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the Models from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the Models from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the Models from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the Models from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+     * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    private java.lang.Object orderBy_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The orderBy.
+     */
+    public java.lang.String getOrderBy() {
+      java.lang.Object ref = orderBy_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        orderBy_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return The bytes for orderBy.
+     */
+    public com.google.protobuf.ByteString getOrderByBytes() {
+      java.lang.Object ref = orderBy_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        orderBy_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderBy(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOrderBy() {
+
+      orderBy_ = getDefaultInstance().getOrderBy();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A comma-separated list of fields to order by, sorted in ascending order.
+     * Use "desc" after a field name for descending.
+     * Supported fields:
+     *   * `display_name`
+     *   * `create_time`
+     *   * `update_time`
+     * Example: `display_name, create_time desc`.
+     * </pre>
+     *
+     * <code>string order_by = 6;</code>
+     *
+     * @param value The bytes for orderBy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOrderByBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      orderBy_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListModelsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListModelsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListModelsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListModelsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListModelsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListModelsRequest>() {
+        @java.lang.Override
+        public ListModelsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListModelsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListModelsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListModelsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListModelsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequestOrBuilder.java
new file mode 100644
index 000000000..203c89a88
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsRequestOrBuilder.java
@@ -0,0 +1,221 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListModelsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListModelsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the Models from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the Models from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+   * [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `display_name`
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `display_name, create_time desc`.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The orderBy.
+   */
+  java.lang.String getOrderBy();
+  /**
+   *
+   *
+   * <pre>
+   * A comma-separated list of fields to order by, sorted in ascending order.
+   * Use "desc" after a field name for descending.
+   * Supported fields:
+   *   * `display_name`
+   *   * `create_time`
+   *   * `update_time`
+   * Example: `display_name, create_time desc`.
+   * </pre>
+   *
+   * <code>string order_by = 6;</code>
+   *
+   * @return The bytes for orderBy.
+   */
+  com.google.protobuf.ByteString getOrderByBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponse.java
new file mode 100644
index 000000000..fe1b6b355
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponse.java
@@ -0,0 +1,1134 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListModelsResponse}
+ */
+public final class ListModelsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListModelsResponse)
+    ListModelsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListModelsResponse.newBuilder() to construct.
+  private ListModelsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListModelsResponse() {
+    models_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListModelsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListModelsResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                models_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Model>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              models_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Model.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        models_ = java.util.Collections.unmodifiableList(models_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListModelsResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListModelsResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListModelsResponse.class,
+            com.google.cloud.aiplatform.v1.ListModelsResponse.Builder.class);
+  }
+
+  public static final int MODELS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.Model> models_;
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Model> getModelsList() {
+    return models_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.ModelOrBuilder>
+      getModelsOrBuilderList() {
+    return models_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  @java.lang.Override
+  public int getModelsCount() {
+    return models_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Model getModels(int index) {
+    return models_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelsOrBuilder(int index) {
+    return models_.get(index);
+  }
+
+  public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object nextPageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getNextPageToken() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      nextPageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNextPageTokenBytes() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      nextPageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < models_.size(); i++) {
+      output.writeMessage(1, models_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < models_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, models_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListModelsResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ListModelsResponse other =
+        (com.google.cloud.aiplatform.v1.ListModelsResponse) obj;
+
+    if (!getModelsList().equals(other.getModelsList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getModelsCount() > 0) {
+      hash = (37 * hash) + MODELS_FIELD_NUMBER;
+      hash = (53 * hash) + getModelsList().hashCode();
+    }
+    hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getNextPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ListModelsResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListModelsResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListModelsResponse)
+      com.google.cloud.aiplatform.v1.ListModelsResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListModelsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListModelsResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ListModelsResponse.class,
+              com.google.cloud.aiplatform.v1.ListModelsResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ListModelsResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getModelsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (modelsBuilder_ == null) {
+        models_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        modelsBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListModelsResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelsResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListModelsResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelsResponse build() {
+      com.google.cloud.aiplatform.v1.ListModelsResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListModelsResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListModelsResponse result =
+          new com.google.cloud.aiplatform.v1.ListModelsResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (modelsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          models_ = java.util.Collections.unmodifiableList(models_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.models_ = models_;
+      } else {
+        result.models_ = modelsBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListModelsResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListModelsResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListModelsResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.ListModelsResponse.getDefaultInstance())
+        return this;
+      if (modelsBuilder_ == null) {
+        if (!other.models_.isEmpty()) {
+          if (models_.isEmpty()) {
+            models_ = other.models_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureModelsIsMutable();
+            models_.addAll(other.models_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.models_.isEmpty()) {
+          if (modelsBuilder_.isEmpty()) {
+            modelsBuilder_.dispose();
+            modelsBuilder_ = null;
+            models_ = other.models_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            modelsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getModelsFieldBuilder()
+                    : null;
+          } else {
+            modelsBuilder_.addAllMessages(other.models_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListModelsResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListModelsResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.Model> models_ =
+        java.util.Collections.emptyList();
+
+    private void ensureModelsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        models_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Model>(models_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model,
+            com.google.cloud.aiplatform.v1.Model.Builder,
+            com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        modelsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Model> getModelsList() {
+      if (modelsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(models_);
+      } else {
+        return modelsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public int getModelsCount() {
+      if (modelsBuilder_ == null) {
+        return models_.size();
+      } else {
+        return modelsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Model getModels(int index) {
+      if (modelsBuilder_ == null) {
+        return models_.get(index);
+      } else {
+        return modelsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder setModels(int index, com.google.cloud.aiplatform.v1.Model value) {
+      if (modelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelsIsMutable();
+        models_.set(index, value);
+        onChanged();
+      } else {
+        modelsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder setModels(
+        int index, com.google.cloud.aiplatform.v1.Model.Builder builderForValue) {
+      if (modelsBuilder_ == null) {
+        ensureModelsIsMutable();
+        models_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        modelsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder addModels(com.google.cloud.aiplatform.v1.Model value) {
+      if (modelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelsIsMutable();
+        models_.add(value);
+        onChanged();
+      } else {
+        modelsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder addModels(int index, com.google.cloud.aiplatform.v1.Model value) {
+      if (modelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureModelsIsMutable();
+        models_.add(index, value);
+        onChanged();
+      } else {
+        modelsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder addModels(com.google.cloud.aiplatform.v1.Model.Builder builderForValue) {
+      if (modelsBuilder_ == null) {
+        ensureModelsIsMutable();
+        models_.add(builderForValue.build());
+        onChanged();
+      } else {
+        modelsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder addModels(
+        int index, com.google.cloud.aiplatform.v1.Model.Builder builderForValue) {
+      if (modelsBuilder_ == null) {
+        ensureModelsIsMutable();
+        models_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        modelsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder addAllModels(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Model> values) {
+      if (modelsBuilder_ == null) {
+        ensureModelsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, models_);
+        onChanged();
+      } else {
+        modelsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder clearModels() {
+      if (modelsBuilder_ == null) {
+        models_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        modelsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public Builder removeModels(int index) {
+      if (modelsBuilder_ == null) {
+        ensureModelsIsMutable();
+        models_.remove(index);
+        onChanged();
+      } else {
+        modelsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.Builder getModelsBuilder(int index) {
+      return getModelsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelsOrBuilder(int index) {
+      if (modelsBuilder_ == null) {
+        return models_.get(index);
+      } else {
+        return modelsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        getModelsOrBuilderList() {
+      if (modelsBuilder_ != null) {
+        return modelsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(models_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.Builder addModelsBuilder() {
+      return getModelsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Model.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.Builder addModelsBuilder(int index) {
+      return getModelsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.Model.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of Models in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Model.Builder> getModelsBuilderList() {
+      return getModelsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model,
+            com.google.cloud.aiplatform.v1.Model.Builder,
+            com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        getModelsFieldBuilder() {
+      if (modelsBuilder_ == null) {
+        modelsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Model,
+                com.google.cloud.aiplatform.v1.Model.Builder,
+                com.google.cloud.aiplatform.v1.ModelOrBuilder>(
+                models_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        models_ = null;
+      }
+      return modelsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve next page of results.
+     * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListModelsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListModelsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListModelsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListModelsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListModelsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListModelsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListModelsResponse>() {
+        @java.lang.Override
+        public ListModelsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListModelsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListModelsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListModelsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListModelsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponseOrBuilder.java
new file mode 100644
index 000000000..7b890059a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListModelsResponseOrBuilder.java
@@ -0,0 +1,103 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListModelsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListModelsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Model> getModelsList();
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.Model getModels(int index);
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  int getModelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.ModelOrBuilder> getModelsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * List of Models in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.Model models = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.ModelOrBuilder getModelsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve next page of results.
+   * Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequest.java
new file mode 100644
index 000000000..bb5809bcf
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequest.java
@@ -0,0 +1,1216 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListSpecialistPoolsRequest}
+ */
+public final class ListSpecialistPoolsRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListSpecialistPoolsRequest)
+    ListSpecialistPoolsRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListSpecialistPoolsRequest.newBuilder() to construct.
+  private ListSpecialistPoolsRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListSpecialistPoolsRequest() {
+    parent_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListSpecialistPoolsRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListSpecialistPoolsRequest(
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
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+      makeExtensionsImmutable();
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+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
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+        .ensureFieldAccessorsInitialized(
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+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the SpecialistPool's parent resource.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
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+    if (ref instanceof java.lang.String) {
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+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the SpecialistPool's parent resource.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PAGE_SIZE_FIELD_NUMBER = 2;
+  private int pageSize_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 2;</code>
+   *
+   * @return The pageSize.
+   */
+  @java.lang.Override
+  public int getPageSize() {
+    return pageSize_;
+  }
+
+  public static final int PAGE_TOKEN_FIELD_NUMBER = 3;
+  private volatile java.lang.Object pageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+   * first page if empty.
+   * </pre>
+   *
+   * <code>string page_token = 3;</code>
+   *
+   * @return The pageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getPageToken() {
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+    if (ref instanceof java.lang.String) {
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+   *
+   *
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+   * The standard list page token.
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+   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+   * first page if empty.
+   * </pre>
+   *
+   * <code>string page_token = 3;</code>
+   *
+   * @return The bytes for pageToken.
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+
+  public static com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest parseFrom(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
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+  }
+
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+
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+  /**
+   *
+   *
+   * <pre>
+   * Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListSpecialistPoolsRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest build() {
+      com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest result =
+          new com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest(this);
+      result.parent_ = parent_;
+      result.pageSize_ = pageSize_;
+      result.pageToken_ = pageToken_;
+      if (readMaskBuilder_ == null) {
+        result.readMask_ = readMask_;
+      } else {
+        result.readMask_ = readMaskBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.getPageSize() != 0) {
+        setPageSize(other.getPageSize());
+      }
+      if (!other.getPageToken().isEmpty()) {
+        pageToken_ = other.pageToken_;
+        onChanged();
+      }
+      if (other.hasReadMask()) {
+        mergeReadMask(other.getReadMask());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool's parent resource.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool's parent resource.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool's parent resource.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool's parent resource.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the SpecialistPool's parent resource.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 2;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 2;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+     * first page if empty.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+     * first page if empty.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+     * first page if empty.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+     * first page if empty.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+     * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+     * first page if empty.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read. FieldMask represents a set of
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 4;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListSpecialistPoolsRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListSpecialistPoolsRequest)
+  private static final com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListSpecialistPoolsRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListSpecialistPoolsRequest>() {
+        @java.lang.Override
+        public ListSpecialistPoolsRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListSpecialistPoolsRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListSpecialistPoolsRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListSpecialistPoolsRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequestOrBuilder.java
new file mode 100644
index 000000000..057408552
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsRequestOrBuilder.java
@@ -0,0 +1,135 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListSpecialistPoolsRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListSpecialistPoolsRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the SpecialistPool's parent resource.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the SpecialistPool's parent resource.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 2;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+   * first page if empty.
+   * </pre>
+   *
+   * <code>string page_token = 3;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+   * the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+   * first page if empty.
+   * </pre>
+   *
+   * <code>string page_token = 3;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
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+   *
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+  /**
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+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponse.java
new file mode 100644
index 000000000..7ee61d739
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponse.java
@@ -0,0 +1,1142 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListSpecialistPoolsResponse}
+ */
+public final class ListSpecialistPoolsResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListSpecialistPoolsResponse)
+    ListSpecialistPoolsResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListSpecialistPoolsResponse.newBuilder() to construct.
+  private ListSpecialistPoolsResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListSpecialistPoolsResponse() {
+    specialistPools_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListSpecialistPoolsResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListSpecialistPoolsResponse(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
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+    }
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+  }
+
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+  }
+
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+  private java.util.List<com.google.cloud.aiplatform.v1.SpecialistPool> specialistPools_;
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.SpecialistPool> getSpecialistPoolsList() {
+    return specialistPools_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+      getSpecialistPoolsOrBuilderList() {
+    return specialistPools_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  @java.lang.Override
+  public int getSpecialistPoolsCount() {
+    return specialistPools_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPools(int index) {
+    return specialistPools_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolsOrBuilder(
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+    memoizedSize = size;
+    return size;
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+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse other =
+        (com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse) obj;
+
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+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
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+  @java.lang.Override
+  public int hashCode() {
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+    }
+    int hash = 41;
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+  public static com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse parseFrom(
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+    return PARSER.parseFrom(data);
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+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
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+  @java.lang.Override
+  public Builder newBuilderForType() {
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+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
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+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
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+  @java.lang.Override
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+  /**
+   *
+   *
+   * <pre>
+   * Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListSpecialistPoolsResponse}
+   */
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+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
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+    }
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+    }
+
+    @java.lang.Override
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+    @java.lang.Override
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+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.SpecialistPool> specialistPools_ =
+        java.util.Collections.emptyList();
+
+    private void ensureSpecialistPoolsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        specialistPools_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.SpecialistPool>(
+                specialistPools_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SpecialistPool,
+            com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+            com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+        specialistPoolsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.SpecialistPool> getSpecialistPoolsList() {
+      if (specialistPoolsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(specialistPools_);
+      } else {
+        return specialistPoolsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public int getSpecialistPoolsCount() {
+      if (specialistPoolsBuilder_ == null) {
+        return specialistPools_.size();
+      } else {
+        return specialistPoolsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPools(int index) {
+      if (specialistPoolsBuilder_ == null) {
+        return specialistPools_.get(index);
+      } else {
+        return specialistPoolsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder setSpecialistPools(
+        int index, com.google.cloud.aiplatform.v1.SpecialistPool value) {
+      if (specialistPoolsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSpecialistPoolsIsMutable();
+        specialistPools_.set(index, value);
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder setSpecialistPools(
+        int index, com.google.cloud.aiplatform.v1.SpecialistPool.Builder builderForValue) {
+      if (specialistPoolsBuilder_ == null) {
+        ensureSpecialistPoolsIsMutable();
+        specialistPools_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder addSpecialistPools(com.google.cloud.aiplatform.v1.SpecialistPool value) {
+      if (specialistPoolsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSpecialistPoolsIsMutable();
+        specialistPools_.add(value);
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder addSpecialistPools(
+        int index, com.google.cloud.aiplatform.v1.SpecialistPool value) {
+      if (specialistPoolsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSpecialistPoolsIsMutable();
+        specialistPools_.add(index, value);
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder addSpecialistPools(
+        com.google.cloud.aiplatform.v1.SpecialistPool.Builder builderForValue) {
+      if (specialistPoolsBuilder_ == null) {
+        ensureSpecialistPoolsIsMutable();
+        specialistPools_.add(builderForValue.build());
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder addSpecialistPools(
+        int index, com.google.cloud.aiplatform.v1.SpecialistPool.Builder builderForValue) {
+      if (specialistPoolsBuilder_ == null) {
+        ensureSpecialistPoolsIsMutable();
+        specialistPools_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder addAllSpecialistPools(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.SpecialistPool> values) {
+      if (specialistPoolsBuilder_ == null) {
+        ensureSpecialistPoolsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, specialistPools_);
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder clearSpecialistPools() {
+      if (specialistPoolsBuilder_ == null) {
+        specialistPools_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public Builder removeSpecialistPools(int index) {
+      if (specialistPoolsBuilder_ == null) {
+        ensureSpecialistPoolsIsMutable();
+        specialistPools_.remove(index);
+        onChanged();
+      } else {
+        specialistPoolsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool.Builder getSpecialistPoolsBuilder(
+        int index) {
+      return getSpecialistPoolsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolsOrBuilder(
+        int index) {
+      if (specialistPoolsBuilder_ == null) {
+        return specialistPools_.get(index);
+      } else {
+        return specialistPoolsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+        getSpecialistPoolsOrBuilderList() {
+      if (specialistPoolsBuilder_ != null) {
+        return specialistPoolsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(specialistPools_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool.Builder addSpecialistPoolsBuilder() {
+      return getSpecialistPoolsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool.Builder addSpecialistPoolsBuilder(
+        int index) {
+      return getSpecialistPoolsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A list of SpecialistPools that matches the specified filter in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.SpecialistPool.Builder>
+        getSpecialistPoolsBuilderList() {
+      return getSpecialistPoolsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SpecialistPool,
+            com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+            com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+        getSpecialistPoolsFieldBuilder() {
+      if (specialistPoolsBuilder_ == null) {
+        specialistPoolsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.SpecialistPool,
+                com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+                com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>(
+                specialistPools_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        specialistPools_ = null;
+      }
+      return specialistPoolsBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard List next-page token.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListSpecialistPoolsResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListSpecialistPoolsResponse)
+  private static final com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListSpecialistPoolsResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListSpecialistPoolsResponse>() {
+        @java.lang.Override
+        public ListSpecialistPoolsResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListSpecialistPoolsResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListSpecialistPoolsResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListSpecialistPoolsResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponseOrBuilder.java
new file mode 100644
index 000000000..26f256505
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListSpecialistPoolsResponseOrBuilder.java
@@ -0,0 +1,102 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListSpecialistPoolsResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListSpecialistPoolsResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.SpecialistPool> getSpecialistPoolsList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPools(int index);
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  int getSpecialistPoolsCount();
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+      getSpecialistPoolsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * A list of SpecialistPools that matches the specified filter in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.SpecialistPool specialist_pools = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard List next-page token.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequest.java
new file mode 100644
index 000000000..b3964de50
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequest.java
@@ -0,0 +1,1451 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListTrainingPipelinesRequest}
+ */
+public final class ListTrainingPipelinesRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListTrainingPipelinesRequest)
+    ListTrainingPipelinesRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListTrainingPipelinesRequest.newBuilder() to construct.
+  private ListTrainingPipelinesRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListTrainingPipelinesRequest() {
+    parent_ = "";
+    filter_ = "";
+    pageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListTrainingPipelinesRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListTrainingPipelinesRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
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+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the TrainingPipelines from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the TrainingPipelines from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the TrainingPipelines from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the TrainingPipelines from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location to list the TrainingPipelines from.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+     *  * `NOT display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+     *  * `NOT display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+     *  * `NOT display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+     *  * `NOT display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list filter.
+     * Supported fields:
+     *   * `display_name` supports = and !=.
+     *   * `state` supports = and !=.
+     * Some examples of using the filter are:
+     *  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+     *  * `NOT display_name="my_pipeline"`
+     *  * `state="PIPELINE_STATE_FAILED"`
+     * </pre>
+     *
+     * <code>string filter = 2;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page size.
+     * </pre>
+     *
+     * <code>int32 page_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard list page token.
+     * Typically obtained via
+     * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
+     * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+     * </pre>
+     *
+     * <code>string page_token = 4;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.FieldMask readMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        readMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return Whether the readMask field is set.
+     */
+    public boolean hasReadMask() {
+      return readMaskBuilder_ != null || readMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     *
+     * @return The readMask.
+     */
+    public com.google.protobuf.FieldMask getReadMask() {
+      if (readMaskBuilder_ == null) {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      } else {
+        return readMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        readMask_ = value;
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder setReadMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (readMaskBuilder_ == null) {
+        readMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        readMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder mergeReadMask(com.google.protobuf.FieldMask value) {
+      if (readMaskBuilder_ == null) {
+        if (readMask_ != null) {
+          readMask_ =
+              com.google.protobuf.FieldMask.newBuilder(readMask_).mergeFrom(value).buildPartial();
+        } else {
+          readMask_ = value;
+        }
+        onChanged();
+      } else {
+        readMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public Builder clearReadMask() {
+      if (readMaskBuilder_ == null) {
+        readMask_ = null;
+        onChanged();
+      } else {
+        readMask_ = null;
+        readMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMask.Builder getReadMaskBuilder() {
+
+      onChanged();
+      return getReadMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
+      if (readMaskBuilder_ != null) {
+        return readMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return readMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : readMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Mask specifying which fields to read.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getReadMaskFieldBuilder() {
+      if (readMaskBuilder_ == null) {
+        readMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getReadMask(), getParentForChildren(), isClean());
+        readMask_ = null;
+      }
+      return readMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListTrainingPipelinesRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListTrainingPipelinesRequest)
+  private static final com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListTrainingPipelinesRequest> PARSER =
+      new com.google.protobuf.AbstractParser<ListTrainingPipelinesRequest>() {
+        @java.lang.Override
+        public ListTrainingPipelinesRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListTrainingPipelinesRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListTrainingPipelinesRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListTrainingPipelinesRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequestOrBuilder.java
new file mode 100644
index 000000000..27be8acdc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesRequestOrBuilder.java
@@ -0,0 +1,176 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListTrainingPipelinesRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListTrainingPipelinesRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the TrainingPipelines from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location to list the TrainingPipelines from.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+   *  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+   *  * `NOT display_name="my_pipeline"`
+   *  * `state="PIPELINE_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list filter.
+   * Supported fields:
+   *   * `display_name` supports = and !=.
+   *   * `state` supports = and !=.
+   * Some examples of using the filter are:
+   *  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+   *  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+   *  * `NOT display_name="my_pipeline"`
+   *  * `state="PIPELINE_STATE_FAILED"`
+   * </pre>
+   *
+   * <code>string filter = 2;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page size.
+   * </pre>
+   *
+   * <code>int32 page_size = 3;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard list page token.
+   * Typically obtained via
+   * [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
+   * [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+   * </pre>
+   *
+   * <code>string page_token = 4;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return Whether the readMask field is set.
+   */
+  boolean hasReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   *
+   * @return The readMask.
+   */
+  com.google.protobuf.FieldMask getReadMask();
+  /**
+   *
+   *
+   * <pre>
+   * Mask specifying which fields to read.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask read_mask = 5;</code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponse.java
new file mode 100644
index 000000000..f3f5a1b99
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponse.java
@@ -0,0 +1,1155 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ListTrainingPipelinesResponse}
+ */
+public final class ListTrainingPipelinesResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ListTrainingPipelinesResponse)
+    ListTrainingPipelinesResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ListTrainingPipelinesResponse.newBuilder() to construct.
+  private ListTrainingPipelinesResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ListTrainingPipelinesResponse() {
+    trainingPipelines_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ListTrainingPipelinesResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ListTrainingPipelinesResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                trainingPipelines_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.TrainingPipeline>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              trainingPipelines_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.TrainingPipeline.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        trainingPipelines_ = java.util.Collections.unmodifiableList(trainingPipelines_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.PipelineServiceProto
+        .internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.class,
+            com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.Builder.class);
+  }
+
+  public static final int TRAINING_PIPELINES_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.TrainingPipeline> trainingPipelines_;
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.TrainingPipeline>
+      getTrainingPipelinesList() {
+    return trainingPipelines_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>
+      getTrainingPipelinesOrBuilderList() {
+    return trainingPipelines_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  @java.lang.Override
+  public int getTrainingPipelinesCount() {
+    return trainingPipelines_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrainingPipeline getTrainingPipelines(int index) {
+    return trainingPipelines_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder getTrainingPipelinesOrBuilder(
+      int index) {
+    return trainingPipelines_.get(index);
+  }
+
+  public static final int NEXT_PAGE_TOKEN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object nextPageToken_;
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  @java.lang.Override
+  public java.lang.String getNextPageToken() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      nextPageToken_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNextPageTokenBytes() {
+    java.lang.Object ref = nextPageToken_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      nextPageToken_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < trainingPipelines_.size(); i++) {
+      output.writeMessage(1, trainingPipelines_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, nextPageToken_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < trainingPipelines_.size(); i++) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(1, trainingPipelines_.get(i));
+    }
+    if (!getNextPageTokenBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, nextPageToken_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse other =
+        (com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse) obj;
+
+    if (!getTrainingPipelinesList().equals(other.getTrainingPipelinesList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getTrainingPipelinesCount() > 0) {
+      hash = (37 * hash) + TRAINING_PIPELINES_FIELD_NUMBER;
+      hash = (53 * hash) + getTrainingPipelinesList().hashCode();
+    }
+    hash = (37 * hash) + NEXT_PAGE_TOKEN_FIELD_NUMBER;
+    hash = (53 * hash) + getNextPageToken().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ListTrainingPipelinesResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ListTrainingPipelinesResponse)
+      com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.class,
+              com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getTrainingPipelinesFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (trainingPipelinesBuilder_ == null) {
+        trainingPipelines_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        trainingPipelinesBuilder_.clear();
+      }
+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.PipelineServiceProto
+          .internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse build() {
+      com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse result =
+          new com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (trainingPipelinesBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          trainingPipelines_ = java.util.Collections.unmodifiableList(trainingPipelines_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.trainingPipelines_ = trainingPipelines_;
+      } else {
+        result.trainingPipelines_ = trainingPipelinesBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.getDefaultInstance())
+        return this;
+      if (trainingPipelinesBuilder_ == null) {
+        if (!other.trainingPipelines_.isEmpty()) {
+          if (trainingPipelines_.isEmpty()) {
+            trainingPipelines_ = other.trainingPipelines_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureTrainingPipelinesIsMutable();
+            trainingPipelines_.addAll(other.trainingPipelines_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.trainingPipelines_.isEmpty()) {
+          if (trainingPipelinesBuilder_.isEmpty()) {
+            trainingPipelinesBuilder_.dispose();
+            trainingPipelinesBuilder_ = null;
+            trainingPipelines_ = other.trainingPipelines_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            trainingPipelinesBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getTrainingPipelinesFieldBuilder()
+                    : null;
+          } else {
+            trainingPipelinesBuilder_.addAllMessages(other.trainingPipelines_);
+          }
+        }
+      }
+      if (!other.getNextPageToken().isEmpty()) {
+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.TrainingPipeline> trainingPipelines_ =
+        java.util.Collections.emptyList();
+
+    private void ensureTrainingPipelinesIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        trainingPipelines_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.TrainingPipeline>(
+                trainingPipelines_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.TrainingPipeline,
+            com.google.cloud.aiplatform.v1.TrainingPipeline.Builder,
+            com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>
+        trainingPipelinesBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.TrainingPipeline>
+        getTrainingPipelinesList() {
+      if (trainingPipelinesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(trainingPipelines_);
+      } else {
+        return trainingPipelinesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public int getTrainingPipelinesCount() {
+      if (trainingPipelinesBuilder_ == null) {
+        return trainingPipelines_.size();
+      } else {
+        return trainingPipelinesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipeline getTrainingPipelines(int index) {
+      if (trainingPipelinesBuilder_ == null) {
+        return trainingPipelines_.get(index);
+      } else {
+        return trainingPipelinesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder setTrainingPipelines(
+        int index, com.google.cloud.aiplatform.v1.TrainingPipeline value) {
+      if (trainingPipelinesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTrainingPipelinesIsMutable();
+        trainingPipelines_.set(index, value);
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder setTrainingPipelines(
+        int index, com.google.cloud.aiplatform.v1.TrainingPipeline.Builder builderForValue) {
+      if (trainingPipelinesBuilder_ == null) {
+        ensureTrainingPipelinesIsMutable();
+        trainingPipelines_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder addTrainingPipelines(com.google.cloud.aiplatform.v1.TrainingPipeline value) {
+      if (trainingPipelinesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTrainingPipelinesIsMutable();
+        trainingPipelines_.add(value);
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder addTrainingPipelines(
+        int index, com.google.cloud.aiplatform.v1.TrainingPipeline value) {
+      if (trainingPipelinesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTrainingPipelinesIsMutable();
+        trainingPipelines_.add(index, value);
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder addTrainingPipelines(
+        com.google.cloud.aiplatform.v1.TrainingPipeline.Builder builderForValue) {
+      if (trainingPipelinesBuilder_ == null) {
+        ensureTrainingPipelinesIsMutable();
+        trainingPipelines_.add(builderForValue.build());
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder addTrainingPipelines(
+        int index, com.google.cloud.aiplatform.v1.TrainingPipeline.Builder builderForValue) {
+      if (trainingPipelinesBuilder_ == null) {
+        ensureTrainingPipelinesIsMutable();
+        trainingPipelines_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder addAllTrainingPipelines(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.TrainingPipeline> values) {
+      if (trainingPipelinesBuilder_ == null) {
+        ensureTrainingPipelinesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, trainingPipelines_);
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder clearTrainingPipelines() {
+      if (trainingPipelinesBuilder_ == null) {
+        trainingPipelines_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public Builder removeTrainingPipelines(int index) {
+      if (trainingPipelinesBuilder_ == null) {
+        ensureTrainingPipelinesIsMutable();
+        trainingPipelines_.remove(index);
+        onChanged();
+      } else {
+        trainingPipelinesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipeline.Builder getTrainingPipelinesBuilder(
+        int index) {
+      return getTrainingPipelinesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder getTrainingPipelinesOrBuilder(
+        int index) {
+      if (trainingPipelinesBuilder_ == null) {
+        return trainingPipelines_.get(index);
+      } else {
+        return trainingPipelinesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>
+        getTrainingPipelinesOrBuilderList() {
+      if (trainingPipelinesBuilder_ != null) {
+        return trainingPipelinesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(trainingPipelines_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipeline.Builder addTrainingPipelinesBuilder() {
+      return getTrainingPipelinesFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.TrainingPipeline.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.TrainingPipeline.Builder addTrainingPipelinesBuilder(
+        int index) {
+      return getTrainingPipelinesFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.TrainingPipeline.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * List of TrainingPipelines in the requested page.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.TrainingPipeline.Builder>
+        getTrainingPipelinesBuilderList() {
+      return getTrainingPipelinesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.TrainingPipeline,
+            com.google.cloud.aiplatform.v1.TrainingPipeline.Builder,
+            com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>
+        getTrainingPipelinesFieldBuilder() {
+      if (trainingPipelinesBuilder_ == null) {
+        trainingPipelinesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.TrainingPipeline,
+                com.google.cloud.aiplatform.v1.TrainingPipeline.Builder,
+                com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>(
+                trainingPipelines_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        trainingPipelines_ = null;
+      }
+      return trainingPipelinesBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A token to retrieve the next page of results.
+     * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ListTrainingPipelinesResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ListTrainingPipelinesResponse)
+  private static final com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ListTrainingPipelinesResponse> PARSER =
+      new com.google.protobuf.AbstractParser<ListTrainingPipelinesResponse>() {
+        @java.lang.Override
+        public ListTrainingPipelinesResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ListTrainingPipelinesResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ListTrainingPipelinesResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ListTrainingPipelinesResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponseOrBuilder.java
new file mode 100644
index 000000000..cb89a36cc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ListTrainingPipelinesResponseOrBuilder.java
@@ -0,0 +1,104 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ListTrainingPipelinesResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ListTrainingPipelinesResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.TrainingPipeline> getTrainingPipelinesList();
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.TrainingPipeline getTrainingPipelines(int index);
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  int getTrainingPipelinesCount();
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder>
+      getTrainingPipelinesOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * List of TrainingPipelines in the requested page.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.TrainingPipeline training_pipelines = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder getTrainingPipelinesOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * A token to retrieve the next page of results.
+   * Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/LocationName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/LocationName.java
new file mode 100644
index 000000000..9a0836b43
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/LocationName.java
@@ -0,0 +1,192 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class LocationName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION =
+      PathTemplate.createWithoutUrlEncoding("projects/{project}/locations/{location}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+
+  @Deprecated
+  protected LocationName() {
+    project = null;
+    location = null;
+  }
+
+  private LocationName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static LocationName of(String project, String location) {
+    return newBuilder().setProject(project).setLocation(location).build();
+  }
+
+  public static String format(String project, String location) {
+    return newBuilder().setProject(project).setLocation(location).build().toString();
+  }
+
+  public static LocationName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION.validatedMatch(
+            formattedString, "LocationName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("location"));
+  }
+
+  public static List<LocationName> parseList(List<String> formattedStrings) {
+    List<LocationName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<LocationName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (LocationName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION.instantiate("project", project, "location", location);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      LocationName that = ((LocationName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}. */
+  public static class Builder {
+    private String project;
+    private String location;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    private Builder(LocationName locationName) {
+      project = locationName.project;
+      location = locationName.location;
+    }
+
+    public LocationName build() {
+      return new LocationName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineResourcesProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineResourcesProto.java
new file mode 100644
index 000000000..a4eceb4ed
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineResourcesProto.java
@@ -0,0 +1,157 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class MachineResourcesProto {
+  private MachineResourcesProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MachineSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MachineSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DedicatedResources_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DedicatedResources_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_AutomaticResources_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_AutomaticResources_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DiskSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DiskSpec_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n2google/cloud/aiplatform/v1/machine_res"
+          + "ources.proto\022\032google.cloud.aiplatform.v1"
+          + "\032\037google/api/field_behavior.proto\0321googl"
+          + "e/cloud/aiplatform/v1/accelerator_type.p"
+          + "roto\032\034google/api/annotations.proto\"\217\001\n\013M"
+          + "achineSpec\022\031\n\014machine_type\030\001 \001(\tB\003\340A\005\022J\n"
+          + "\020accelerator_type\030\002 \001(\0162+.google.cloud.a"
+          + "iplatform.v1.AcceleratorTypeB\003\340A\005\022\031\n\021acc"
+          + "elerator_count\030\003 \001(\005\"\236\001\n\022DedicatedResour"
+          + "ces\022E\n\014machine_spec\030\001 \001(\0132\'.google.cloud"
+          + ".aiplatform.v1.MachineSpecB\006\340A\002\340A\005\022!\n\021mi"
+          + "n_replica_count\030\002 \001(\005B\006\340A\002\340A\005\022\036\n\021max_rep"
+          + "lica_count\030\003 \001(\005B\003\340A\005\"T\n\022AutomaticResour"
+          + "ces\022\036\n\021min_replica_count\030\001 \001(\005B\003\340A\005\022\036\n\021m"
+          + "ax_replica_count\030\002 \001(\005B\003\340A\005\"\245\001\n\027BatchDed"
+          + "icatedResources\022E\n\014machine_spec\030\001 \001(\0132\'."
+          + "google.cloud.aiplatform.v1.MachineSpecB\006"
+          + "\340A\002\340A\005\022#\n\026starting_replica_count\030\002 \001(\005B\003"
+          + "\340A\005\022\036\n\021max_replica_count\030\003 \001(\005B\003\340A\005\"/\n\021R"
+          + "esourcesConsumed\022\032\n\rreplica_hours\030\001 \001(\001B"
+          + "\003\340A\003\"=\n\010DiskSpec\022\026\n\016boot_disk_type\030\001 \001(\t"
+          + "\022\031\n\021boot_disk_size_gb\030\002 \001(\005B\177\n\036com.googl"
+          + "e.cloud.aiplatform.v1B\025MachineResourcesP"
+          + "rotoP\001ZDgoogle.golang.org/genproto/googl"
+          + "eapis/cloud/aiplatform/v1;aiplatformb\006pr"
+          + "oto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.AcceleratorTypeProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_MachineSpec_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_MachineSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MachineSpec_descriptor,
+            new java.lang.String[] {
+              "MachineType", "AcceleratorType", "AcceleratorCount",
+            });
+    internal_static_google_cloud_aiplatform_v1_DedicatedResources_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_DedicatedResources_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DedicatedResources_descriptor,
+            new java.lang.String[] {
+              "MachineSpec", "MinReplicaCount", "MaxReplicaCount",
+            });
+    internal_static_google_cloud_aiplatform_v1_AutomaticResources_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_AutomaticResources_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_AutomaticResources_descriptor,
+            new java.lang.String[] {
+              "MinReplicaCount", "MaxReplicaCount",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchDedicatedResources_descriptor,
+            new java.lang.String[] {
+              "MachineSpec", "StartingReplicaCount", "MaxReplicaCount",
+            });
+    internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_descriptor,
+            new java.lang.String[] {
+              "ReplicaHours",
+            });
+    internal_static_google_cloud_aiplatform_v1_DiskSpec_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_DiskSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DiskSpec_descriptor,
+            new java.lang.String[] {
+              "BootDiskType", "BootDiskSizeGb",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.AcceleratorTypeProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpec.java
new file mode 100644
index 000000000..ab891412c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpec.java
@@ -0,0 +1,941 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Specification of a single machine.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.MachineSpec}
+ */
+public final class MachineSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MachineSpec)
+    MachineSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use MachineSpec.newBuilder() to construct.
+  private MachineSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private MachineSpec() {
+    machineType_ = "";
+    acceleratorType_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new MachineSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private MachineSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              machineType_ = s;
+              break;
+            }
+          case 16:
+            {
+              int rawValue = input.readEnum();
+
+              acceleratorType_ = rawValue;
+              break;
+            }
+          case 24:
+            {
+              acceleratorCount_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_MachineSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_MachineSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.MachineSpec.class,
+            com.google.cloud.aiplatform.v1.MachineSpec.Builder.class);
+  }
+
+  public static final int MACHINE_TYPE_FIELD_NUMBER = 1;
+  private volatile java.lang.Object machineType_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+   * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+   * </pre>
+   *
+   * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The machineType.
+   */
+  @java.lang.Override
+  public java.lang.String getMachineType() {
+    java.lang.Object ref = machineType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      machineType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+   * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+   * </pre>
+   *
+   * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for machineType.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMachineTypeBytes() {
+    java.lang.Object ref = machineType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      machineType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int ACCELERATOR_TYPE_FIELD_NUMBER = 2;
+  private int acceleratorType_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for acceleratorType.
+   */
+  @java.lang.Override
+  public int getAcceleratorTypeValue() {
+    return acceleratorType_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The acceleratorType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.AcceleratorType getAcceleratorType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.AcceleratorType result =
+        com.google.cloud.aiplatform.v1.AcceleratorType.valueOf(acceleratorType_);
+    return result == null ? com.google.cloud.aiplatform.v1.AcceleratorType.UNRECOGNIZED : result;
+  }
+
+  public static final int ACCELERATOR_COUNT_FIELD_NUMBER = 3;
+  private int acceleratorCount_;
+  /**
+   *
+   *
+   * <pre>
+   * The number of accelerators to attach to the machine.
+   * </pre>
+   *
+   * <code>int32 accelerator_count = 3;</code>
+   *
+   * @return The acceleratorCount.
+   */
+  @java.lang.Override
+  public int getAcceleratorCount() {
+    return acceleratorCount_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getMachineTypeBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, machineType_);
+    }
+    if (acceleratorType_
+        != com.google.cloud.aiplatform.v1.AcceleratorType.ACCELERATOR_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(2, acceleratorType_);
+    }
+    if (acceleratorCount_ != 0) {
+      output.writeInt32(3, acceleratorCount_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getMachineTypeBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, machineType_);
+    }
+    if (acceleratorType_
+        != com.google.cloud.aiplatform.v1.AcceleratorType.ACCELERATOR_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(2, acceleratorType_);
+    }
+    if (acceleratorCount_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(3, acceleratorCount_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.MachineSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.MachineSpec other =
+        (com.google.cloud.aiplatform.v1.MachineSpec) obj;
+
+    if (!getMachineType().equals(other.getMachineType())) return false;
+    if (acceleratorType_ != other.acceleratorType_) return false;
+    if (getAcceleratorCount() != other.getAcceleratorCount()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MACHINE_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + getMachineType().hashCode();
+    hash = (37 * hash) + ACCELERATOR_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + acceleratorType_;
+    hash = (37 * hash) + ACCELERATOR_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getAcceleratorCount();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.MachineSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Specification of a single machine.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.MachineSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MachineSpec)
+      com.google.cloud.aiplatform.v1.MachineSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_MachineSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_MachineSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MachineSpec.class,
+              com.google.cloud.aiplatform.v1.MachineSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.MachineSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      machineType_ = "";
+
+      acceleratorType_ = 0;
+
+      acceleratorCount_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_MachineSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MachineSpec getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MachineSpec build() {
+      com.google.cloud.aiplatform.v1.MachineSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MachineSpec buildPartial() {
+      com.google.cloud.aiplatform.v1.MachineSpec result =
+          new com.google.cloud.aiplatform.v1.MachineSpec(this);
+      result.machineType_ = machineType_;
+      result.acceleratorType_ = acceleratorType_;
+      result.acceleratorCount_ = acceleratorCount_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.MachineSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.MachineSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.MachineSpec other) {
+      if (other == com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()) return this;
+      if (!other.getMachineType().isEmpty()) {
+        machineType_ = other.machineType_;
+        onChanged();
+      }
+      if (other.acceleratorType_ != 0) {
+        setAcceleratorTypeValue(other.getAcceleratorTypeValue());
+      }
+      if (other.getAcceleratorCount() != 0) {
+        setAcceleratorCount(other.getAcceleratorCount());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.MachineSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.MachineSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object machineType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * </pre>
+     *
+     * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The machineType.
+     */
+    public java.lang.String getMachineType() {
+      java.lang.Object ref = machineType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        machineType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * </pre>
+     *
+     * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for machineType.
+     */
+    public com.google.protobuf.ByteString getMachineTypeBytes() {
+      java.lang.Object ref = machineType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        machineType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * </pre>
+     *
+     * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The machineType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMachineType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      machineType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * </pre>
+     *
+     * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMachineType() {
+
+      machineType_ = getDefaultInstance().getMachineType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+     * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+     * </pre>
+     *
+     * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for machineType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMachineTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      machineType_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int acceleratorType_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for acceleratorType.
+     */
+    @java.lang.Override
+    public int getAcceleratorTypeValue() {
+      return acceleratorType_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for acceleratorType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAcceleratorTypeValue(int value) {
+
+      acceleratorType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The acceleratorType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.AcceleratorType getAcceleratorType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.AcceleratorType result =
+          com.google.cloud.aiplatform.v1.AcceleratorType.valueOf(acceleratorType_);
+      return result == null ? com.google.cloud.aiplatform.v1.AcceleratorType.UNRECOGNIZED : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @param value The acceleratorType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAcceleratorType(com.google.cloud.aiplatform.v1.AcceleratorType value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      acceleratorType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The type of accelerator(s) that may be attached to the machine as per
+     * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearAcceleratorType() {
+
+      acceleratorType_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int acceleratorCount_;
+    /**
+     *
+     *
+     * <pre>
+     * The number of accelerators to attach to the machine.
+     * </pre>
+     *
+     * <code>int32 accelerator_count = 3;</code>
+     *
+     * @return The acceleratorCount.
+     */
+    @java.lang.Override
+    public int getAcceleratorCount() {
+      return acceleratorCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The number of accelerators to attach to the machine.
+     * </pre>
+     *
+     * <code>int32 accelerator_count = 3;</code>
+     *
+     * @param value The acceleratorCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAcceleratorCount(int value) {
+
+      acceleratorCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The number of accelerators to attach to the machine.
+     * </pre>
+     *
+     * <code>int32 accelerator_count = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearAcceleratorCount() {
+
+      acceleratorCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MachineSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MachineSpec)
+  private static final com.google.cloud.aiplatform.v1.MachineSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.MachineSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.MachineSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<MachineSpec> PARSER =
+      new com.google.protobuf.AbstractParser<MachineSpec>() {
+        @java.lang.Override
+        public MachineSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new MachineSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<MachineSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<MachineSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MachineSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpecOrBuilder.java
new file mode 100644
index 000000000..0719ef12a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MachineSpecOrBuilder.java
@@ -0,0 +1,106 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface MachineSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MachineSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+   * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+   * </pre>
+   *
+   * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The machineType.
+   */
+  java.lang.String getMachineType();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+   * [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+   * </pre>
+   *
+   * <code>string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for machineType.
+   */
+  com.google.protobuf.ByteString getMachineTypeBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for acceleratorType.
+   */
+  int getAcceleratorTypeValue();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The type of accelerator(s) that may be attached to the machine as per
+   * [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The acceleratorType.
+   */
+  com.google.cloud.aiplatform.v1.AcceleratorType getAcceleratorType();
+
+  /**
+   *
+   *
+   * <pre>
+   * The number of accelerators to attach to the machine.
+   * </pre>
+   *
+   * <code>int32 accelerator_count = 3;</code>
+   *
+   * @return The acceleratorCount.
+   */
+  int getAcceleratorCount();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParameters.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParameters.java
new file mode 100644
index 000000000..f27ac9d19
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParameters.java
@@ -0,0 +1,571 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Manual batch tuning parameters.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ManualBatchTuningParameters}
+ */
+public final class ManualBatchTuningParameters extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ManualBatchTuningParameters)
+    ManualBatchTuningParametersOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ManualBatchTuningParameters.newBuilder() to construct.
+  private ManualBatchTuningParameters(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ManualBatchTuningParameters() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ManualBatchTuningParameters();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ManualBatchTuningParameters(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              batchSize_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto
+        .internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto
+        .internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.class,
+            com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder.class);
+  }
+
+  public static final int BATCH_SIZE_FIELD_NUMBER = 1;
+  private int batchSize_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The number of the records (e.g. instances) of the operation given in
+   * each batch to a machine replica. Machine type, and size of a single
+   * record should be considered when setting this parameter, higher value
+   * speeds up the batch operation's execution, but too high value will result
+   * in a whole batch not fitting in a machine's memory, and the whole
+   * operation will fail.
+   * The default value is 4.
+   * </pre>
+   *
+   * <code>int32 batch_size = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The batchSize.
+   */
+  @java.lang.Override
+  public int getBatchSize() {
+    return batchSize_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (batchSize_ != 0) {
+      output.writeInt32(1, batchSize_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (batchSize_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, batchSize_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ManualBatchTuningParameters)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ManualBatchTuningParameters other =
+        (com.google.cloud.aiplatform.v1.ManualBatchTuningParameters) obj;
+
+    if (getBatchSize() != other.getBatchSize()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + BATCH_SIZE_FIELD_NUMBER;
+    hash = (53 * hash) + getBatchSize();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.ManualBatchTuningParameters prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Manual batch tuning parameters.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ManualBatchTuningParameters}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ManualBatchTuningParameters)
+      com.google.cloud.aiplatform.v1.ManualBatchTuningParametersOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto
+          .internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto
+          .internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.class,
+              com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      batchSize_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto
+          .internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ManualBatchTuningParameters getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ManualBatchTuningParameters build() {
+      com.google.cloud.aiplatform.v1.ManualBatchTuningParameters result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ManualBatchTuningParameters buildPartial() {
+      com.google.cloud.aiplatform.v1.ManualBatchTuningParameters result =
+          new com.google.cloud.aiplatform.v1.ManualBatchTuningParameters(this);
+      result.batchSize_ = batchSize_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ManualBatchTuningParameters) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ManualBatchTuningParameters) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ManualBatchTuningParameters other) {
+      if (other == com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.getDefaultInstance())
+        return this;
+      if (other.getBatchSize() != 0) {
+        setBatchSize(other.getBatchSize());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ManualBatchTuningParameters parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ManualBatchTuningParameters) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int batchSize_;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The number of the records (e.g. instances) of the operation given in
+     * each batch to a machine replica. Machine type, and size of a single
+     * record should be considered when setting this parameter, higher value
+     * speeds up the batch operation's execution, but too high value will result
+     * in a whole batch not fitting in a machine's memory, and the whole
+     * operation will fail.
+     * The default value is 4.
+     * </pre>
+     *
+     * <code>int32 batch_size = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The batchSize.
+     */
+    @java.lang.Override
+    public int getBatchSize() {
+      return batchSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The number of the records (e.g. instances) of the operation given in
+     * each batch to a machine replica. Machine type, and size of a single
+     * record should be considered when setting this parameter, higher value
+     * speeds up the batch operation's execution, but too high value will result
+     * in a whole batch not fitting in a machine's memory, and the whole
+     * operation will fail.
+     * The default value is 4.
+     * </pre>
+     *
+     * <code>int32 batch_size = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The batchSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBatchSize(int value) {
+
+      batchSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The number of the records (e.g. instances) of the operation given in
+     * each batch to a machine replica. Machine type, and size of a single
+     * record should be considered when setting this parameter, higher value
+     * speeds up the batch operation's execution, but too high value will result
+     * in a whole batch not fitting in a machine's memory, and the whole
+     * operation will fail.
+     * The default value is 4.
+     * </pre>
+     *
+     * <code>int32 batch_size = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearBatchSize() {
+
+      batchSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ManualBatchTuningParameters)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ManualBatchTuningParameters)
+  private static final com.google.cloud.aiplatform.v1.ManualBatchTuningParameters DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ManualBatchTuningParameters();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ManualBatchTuningParameters getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ManualBatchTuningParameters> PARSER =
+      new com.google.protobuf.AbstractParser<ManualBatchTuningParameters>() {
+        @java.lang.Override
+        public ManualBatchTuningParameters parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ManualBatchTuningParameters(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ManualBatchTuningParameters> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ManualBatchTuningParameters> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ManualBatchTuningParameters getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersOrBuilder.java
new file mode 100644
index 000000000..6cddaf396
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersOrBuilder.java
@@ -0,0 +1,44 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ManualBatchTuningParametersOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ManualBatchTuningParameters)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The number of the records (e.g. instances) of the operation given in
+   * each batch to a machine replica. Machine type, and size of a single
+   * record should be considered when setting this parameter, higher value
+   * speeds up the batch operation's execution, but too high value will result
+   * in a whole batch not fitting in a machine's memory, and the whole
+   * operation will fail.
+   * The default value is 4.
+   * </pre>
+   *
+   * <code>int32 batch_size = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The batchSize.
+   */
+  int getBatchSize();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersProto.java
new file mode 100644
index 000000000..d6b417b1c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ManualBatchTuningParametersProto.java
@@ -0,0 +1,79 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class ManualBatchTuningParametersProto {
+  private ManualBatchTuningParametersProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n?google/cloud/aiplatform/v1/manual_batc"
+          + "h_tuning_parameters.proto\022\032google.cloud."
+          + "aiplatform.v1\032\037google/api/field_behavior"
+          + ".proto\032\034google/api/annotations.proto\"6\n\033"
+          + "ManualBatchTuningParameters\022\027\n\nbatch_siz"
+          + "e\030\001 \001(\005B\003\340A\005B\212\001\n\036com.google.cloud.aiplat"
+          + "form.v1B ManualBatchTuningParametersProt"
+          + "oP\001ZDgoogle.golang.org/genproto/googleap"
+          + "is/cloud/aiplatform/v1;aiplatformb\006proto"
+          + "3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ManualBatchTuningParameters_descriptor,
+            new java.lang.String[] {
+              "BatchSize",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Measurement.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Measurement.java
new file mode 100644
index 000000000..ea85b8825
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Measurement.java
@@ -0,0 +1,1888 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/study.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A message representing a Measurement of a Trial. A Measurement contains
+ * the Metrics got by executing a Trial using suggested hyperparameter
+ * values.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.Measurement}
+ */
+public final class Measurement extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Measurement)
+    MeasurementOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Measurement.newBuilder() to construct.
+  private Measurement(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private Measurement() {
+    metrics_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new Measurement();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Measurement(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 16:
+            {
+              stepCount_ = input.readInt64();
+              break;
+            }
+          case 26:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                metrics_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.Measurement.Metric>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              metrics_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Measurement.Metric.parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        metrics_ = java.util.Collections.unmodifiableList(metrics_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.StudyProto
+        .internal_static_google_cloud_aiplatform_v1_Measurement_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.StudyProto
+        .internal_static_google_cloud_aiplatform_v1_Measurement_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.Measurement.class,
+            com.google.cloud.aiplatform.v1.Measurement.Builder.class);
+  }
+
+  public interface MetricOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Measurement.Metric)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the Metric. The Metric should be defined in
+     * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+     * </pre>
+     *
+     * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The metricId.
+     */
+    java.lang.String getMetricId();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the Metric. The Metric should be defined in
+     * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+     * </pre>
+     *
+     * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for metricId.
+     */
+    com.google.protobuf.ByteString getMetricIdBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The value for this metric.
+     * </pre>
+     *
+     * <code>double value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The value.
+     */
+    double getValue();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A message representing a metric in the measurement.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.Measurement.Metric}
+   */
+  public static final class Metric extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Measurement.Metric)
+      MetricOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use Metric.newBuilder() to construct.
+    private Metric(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private Metric() {
+      metricId_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new Metric();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private Metric(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                metricId_ = s;
+                break;
+              }
+            case 17:
+              {
+                value_ = input.readDouble();
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Measurement_Metric_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Measurement_Metric_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.Measurement.Metric.class,
+              com.google.cloud.aiplatform.v1.Measurement.Metric.Builder.class);
+    }
+
+    public static final int METRIC_ID_FIELD_NUMBER = 1;
+    private volatile java.lang.Object metricId_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the Metric. The Metric should be defined in
+     * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+     * </pre>
+     *
+     * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The metricId.
+     */
+    @java.lang.Override
+    public java.lang.String getMetricId() {
+      java.lang.Object ref = metricId_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        metricId_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the Metric. The Metric should be defined in
+     * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+     * </pre>
+     *
+     * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for metricId.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getMetricIdBytes() {
+      java.lang.Object ref = metricId_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        metricId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int VALUE_FIELD_NUMBER = 2;
+    private double value_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The value for this metric.
+     * </pre>
+     *
+     * <code>double value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The value.
+     */
+    @java.lang.Override
+    public double getValue() {
+      return value_;
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getMetricIdBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, metricId_);
+      }
+      if (value_ != 0D) {
+        output.writeDouble(2, value_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getMetricIdBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, metricId_);
+      }
+      if (value_ != 0D) {
+        size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, value_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.Measurement.Metric)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.Measurement.Metric other =
+          (com.google.cloud.aiplatform.v1.Measurement.Metric) obj;
+
+      if (!getMetricId().equals(other.getMetricId())) return false;
+      if (java.lang.Double.doubleToLongBits(getValue())
+          != java.lang.Double.doubleToLongBits(other.getValue())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + METRIC_ID_FIELD_NUMBER;
+      hash = (53 * hash) + getMetricId().hashCode();
+      hash = (37 * hash) + VALUE_FIELD_NUMBER;
+      hash =
+          (53 * hash)
+              + com.google.protobuf.Internal.hashLong(
+                  java.lang.Double.doubleToLongBits(getValue()));
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(byte[] data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(com.google.cloud.aiplatform.v1.Measurement.Metric prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A message representing a metric in the measurement.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.Measurement.Metric}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.Measurement.Metric)
+        com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_Measurement_Metric_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_Measurement_Metric_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.Measurement.Metric.class,
+                com.google.cloud.aiplatform.v1.Measurement.Metric.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.Measurement.Metric.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        metricId_ = "";
+
+        value_ = 0D;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_Measurement_Metric_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Measurement.Metric getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.Measurement.Metric.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Measurement.Metric build() {
+        com.google.cloud.aiplatform.v1.Measurement.Metric result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Measurement.Metric buildPartial() {
+        com.google.cloud.aiplatform.v1.Measurement.Metric result =
+            new com.google.cloud.aiplatform.v1.Measurement.Metric(this);
+        result.metricId_ = metricId_;
+        result.value_ = value_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.Measurement.Metric) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.Measurement.Metric) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(com.google.cloud.aiplatform.v1.Measurement.Metric other) {
+        if (other == com.google.cloud.aiplatform.v1.Measurement.Metric.getDefaultInstance())
+          return this;
+        if (!other.getMetricId().isEmpty()) {
+          metricId_ = other.metricId_;
+          onChanged();
+        }
+        if (other.getValue() != 0D) {
+          setValue(other.getValue());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.Measurement.Metric parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.Measurement.Metric) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object metricId_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the Metric. The Metric should be defined in
+       * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The metricId.
+       */
+      public java.lang.String getMetricId() {
+        java.lang.Object ref = metricId_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          metricId_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the Metric. The Metric should be defined in
+       * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The bytes for metricId.
+       */
+      public com.google.protobuf.ByteString getMetricIdBytes() {
+        java.lang.Object ref = metricId_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          metricId_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the Metric. The Metric should be defined in
+       * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The metricId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setMetricId(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        metricId_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the Metric. The Metric should be defined in
+       * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearMetricId() {
+
+        metricId_ = getDefaultInstance().getMetricId();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the Metric. The Metric should be defined in
+       * [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The bytes for metricId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setMetricIdBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        metricId_ = value;
+        onChanged();
+        return this;
+      }
+
+      private double value_;
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value for this metric.
+       * </pre>
+       *
+       * <code>double value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The value.
+       */
+      @java.lang.Override
+      public double getValue() {
+        return value_;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value for this metric.
+       * </pre>
+       *
+       * <code>double value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The value to set.
+       * @return This builder for chaining.
+       */
+      public Builder setValue(double value) {
+
+        value_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value for this metric.
+       * </pre>
+       *
+       * <code>double value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearValue() {
+
+        value_ = 0D;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Measurement.Metric)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Measurement.Metric)
+    private static final com.google.cloud.aiplatform.v1.Measurement.Metric DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Measurement.Metric();
+    }
+
+    public static com.google.cloud.aiplatform.v1.Measurement.Metric getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<Metric> PARSER =
+        new com.google.protobuf.AbstractParser<Metric>() {
+          @java.lang.Override
+          public Metric parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new Metric(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<Metric> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<Metric> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Measurement.Metric getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int STEP_COUNT_FIELD_NUMBER = 2;
+  private long stepCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of steps the machine learning model has been trained for.
+   * Must be non-negative.
+   * </pre>
+   *
+   * <code>int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The stepCount.
+   */
+  @java.lang.Override
+  public long getStepCount() {
+    return stepCount_;
+  }
+
+  public static final int METRICS_FIELD_NUMBER = 3;
+  private java.util.List<com.google.cloud.aiplatform.v1.Measurement.Metric> metrics_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Measurement.Metric> getMetricsList() {
+    return metrics_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder>
+      getMetricsOrBuilderList() {
+    return metrics_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getMetricsCount() {
+    return metrics_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Measurement.Metric getMetrics(int index) {
+    return metrics_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder getMetricsOrBuilder(int index) {
+    return metrics_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (stepCount_ != 0L) {
+      output.writeInt64(2, stepCount_);
+    }
+    for (int i = 0; i < metrics_.size(); i++) {
+      output.writeMessage(3, metrics_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (stepCount_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, stepCount_);
+    }
+    for (int i = 0; i < metrics_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, metrics_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.Measurement)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.Measurement other =
+        (com.google.cloud.aiplatform.v1.Measurement) obj;
+
+    if (getStepCount() != other.getStepCount()) return false;
+    if (!getMetricsList().equals(other.getMetricsList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + STEP_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getStepCount());
+    if (getMetricsCount() > 0) {
+      hash = (37 * hash) + METRICS_FIELD_NUMBER;
+      hash = (53 * hash) + getMetricsList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.Measurement prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A message representing a Measurement of a Trial. A Measurement contains
+   * the Metrics got by executing a Trial using suggested hyperparameter
+   * values.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.Measurement}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.Measurement)
+      com.google.cloud.aiplatform.v1.MeasurementOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Measurement_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Measurement_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.Measurement.class,
+              com.google.cloud.aiplatform.v1.Measurement.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.Measurement.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getMetricsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      stepCount_ = 0L;
+
+      if (metricsBuilder_ == null) {
+        metrics_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        metricsBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Measurement_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Measurement getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.Measurement.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Measurement build() {
+      com.google.cloud.aiplatform.v1.Measurement result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Measurement buildPartial() {
+      com.google.cloud.aiplatform.v1.Measurement result =
+          new com.google.cloud.aiplatform.v1.Measurement(this);
+      int from_bitField0_ = bitField0_;
+      result.stepCount_ = stepCount_;
+      if (metricsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          metrics_ = java.util.Collections.unmodifiableList(metrics_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.metrics_ = metrics_;
+      } else {
+        result.metrics_ = metricsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.Measurement) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.Measurement) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.Measurement other) {
+      if (other == com.google.cloud.aiplatform.v1.Measurement.getDefaultInstance()) return this;
+      if (other.getStepCount() != 0L) {
+        setStepCount(other.getStepCount());
+      }
+      if (metricsBuilder_ == null) {
+        if (!other.metrics_.isEmpty()) {
+          if (metrics_.isEmpty()) {
+            metrics_ = other.metrics_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureMetricsIsMutable();
+            metrics_.addAll(other.metrics_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.metrics_.isEmpty()) {
+          if (metricsBuilder_.isEmpty()) {
+            metricsBuilder_.dispose();
+            metricsBuilder_ = null;
+            metrics_ = other.metrics_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            metricsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getMetricsFieldBuilder()
+                    : null;
+          } else {
+            metricsBuilder_.addAllMessages(other.metrics_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.Measurement parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.Measurement) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private long stepCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of steps the machine learning model has been trained for.
+     * Must be non-negative.
+     * </pre>
+     *
+     * <code>int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The stepCount.
+     */
+    @java.lang.Override
+    public long getStepCount() {
+      return stepCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of steps the machine learning model has been trained for.
+     * Must be non-negative.
+     * </pre>
+     *
+     * <code>int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The stepCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setStepCount(long value) {
+
+      stepCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of steps the machine learning model has been trained for.
+     * Must be non-negative.
+     * </pre>
+     *
+     * <code>int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearStepCount() {
+
+      stepCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.Measurement.Metric> metrics_ =
+        java.util.Collections.emptyList();
+
+    private void ensureMetricsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        metrics_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.Measurement.Metric>(metrics_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Measurement.Metric,
+            com.google.cloud.aiplatform.v1.Measurement.Metric.Builder,
+            com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder>
+        metricsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Measurement.Metric> getMetricsList() {
+      if (metricsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(metrics_);
+      } else {
+        return metricsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getMetricsCount() {
+      if (metricsBuilder_ == null) {
+        return metrics_.size();
+      } else {
+        return metricsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Measurement.Metric getMetrics(int index) {
+      if (metricsBuilder_ == null) {
+        return metrics_.get(index);
+      } else {
+        return metricsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setMetrics(int index, com.google.cloud.aiplatform.v1.Measurement.Metric value) {
+      if (metricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMetricsIsMutable();
+        metrics_.set(index, value);
+        onChanged();
+      } else {
+        metricsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setMetrics(
+        int index, com.google.cloud.aiplatform.v1.Measurement.Metric.Builder builderForValue) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        metrics_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        metricsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addMetrics(com.google.cloud.aiplatform.v1.Measurement.Metric value) {
+      if (metricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMetricsIsMutable();
+        metrics_.add(value);
+        onChanged();
+      } else {
+        metricsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addMetrics(int index, com.google.cloud.aiplatform.v1.Measurement.Metric value) {
+      if (metricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMetricsIsMutable();
+        metrics_.add(index, value);
+        onChanged();
+      } else {
+        metricsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addMetrics(
+        com.google.cloud.aiplatform.v1.Measurement.Metric.Builder builderForValue) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        metrics_.add(builderForValue.build());
+        onChanged();
+      } else {
+        metricsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addMetrics(
+        int index, com.google.cloud.aiplatform.v1.Measurement.Metric.Builder builderForValue) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        metrics_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        metricsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllMetrics(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Measurement.Metric> values) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, metrics_);
+        onChanged();
+      } else {
+        metricsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearMetrics() {
+      if (metricsBuilder_ == null) {
+        metrics_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        metricsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removeMetrics(int index) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        metrics_.remove(index);
+        onChanged();
+      } else {
+        metricsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Measurement.Metric.Builder getMetricsBuilder(int index) {
+      return getMetricsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder getMetricsOrBuilder(
+        int index) {
+      if (metricsBuilder_ == null) {
+        return metrics_.get(index);
+      } else {
+        return metricsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder>
+        getMetricsOrBuilderList() {
+      if (metricsBuilder_ != null) {
+        return metricsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(metrics_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Measurement.Metric.Builder addMetricsBuilder() {
+      return getMetricsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Measurement.Metric.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Measurement.Metric.Builder addMetricsBuilder(int index) {
+      return getMetricsFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.Measurement.Metric.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. A list of metrics got by evaluating the objective functions using suggested
+     * Parameter values.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Measurement.Metric.Builder>
+        getMetricsBuilderList() {
+      return getMetricsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Measurement.Metric,
+            com.google.cloud.aiplatform.v1.Measurement.Metric.Builder,
+            com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder>
+        getMetricsFieldBuilder() {
+      if (metricsBuilder_ == null) {
+        metricsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Measurement.Metric,
+                com.google.cloud.aiplatform.v1.Measurement.Metric.Builder,
+                com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder>(
+                metrics_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        metrics_ = null;
+      }
+      return metricsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Measurement)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Measurement)
+  private static final com.google.cloud.aiplatform.v1.Measurement DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Measurement();
+  }
+
+  public static com.google.cloud.aiplatform.v1.Measurement getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<Measurement> PARSER =
+      new com.google.protobuf.AbstractParser<Measurement>() {
+        @java.lang.Override
+        public Measurement parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Measurement(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<Measurement> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<Measurement> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Measurement getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MeasurementOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MeasurementOrBuilder.java
new file mode 100644
index 000000000..2e78c07ab
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MeasurementOrBuilder.java
@@ -0,0 +1,106 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/study.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface MeasurementOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Measurement)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of steps the machine learning model has been trained for.
+   * Must be non-negative.
+   * </pre>
+   *
+   * <code>int64 step_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The stepCount.
+   */
+  long getStepCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Measurement.Metric> getMetricsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.Measurement.Metric getMetrics(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getMetricsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder>
+      getMetricsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. A list of metrics got by evaluating the objective functions using suggested
+   * Parameter values.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Measurement.Metric metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.Measurement.MetricOrBuilder getMetricsOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResource.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResource.java
new file mode 100644
index 000000000..99e4f60f1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResource.java
@@ -0,0 +1,7818 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migratable_resource.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents one resource that exists in automl.googleapis.com,
+ * datalabeling.googleapis.com or ml.googleapis.com.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource}
+ */
+public final class MigratableResource extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigratableResource)
+    MigratableResourceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use MigratableResource.newBuilder() to construct.
+  private MigratableResource(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private MigratableResource() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new MigratableResource();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private MigratableResource(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder
+                  subBuilder = null;
+              if (resourceCase_ == 1) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+                            resource_)
+                        .toBuilder();
+              }
+              resource_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+                        resource_);
+                resource_ = subBuilder.buildPartial();
+              }
+              resourceCase_ = 1;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.Builder subBuilder =
+                  null;
+              if (resourceCase_ == 2) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_)
+                        .toBuilder();
+              }
+              resource_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_);
+                resource_ = subBuilder.buildPartial();
+              }
+              resourceCase_ = 2;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder subBuilder =
+                  null;
+              if (resourceCase_ == 3) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_)
+                        .toBuilder();
+              }
+              resource_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_);
+                resource_ = subBuilder.buildPartial();
+              }
+              resourceCase_ = 3;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder
+                  subBuilder = null;
+              if (resourceCase_ == 4) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+                            resource_)
+                        .toBuilder();
+              }
+              resource_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+                        resource_);
+                resource_ = subBuilder.buildPartial();
+              }
+              resourceCase_ = 4;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (lastMigrateTime_ != null) {
+                subBuilder = lastMigrateTime_.toBuilder();
+              }
+              lastMigrateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(lastMigrateTime_);
+                lastMigrateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (lastUpdateTime_ != null) {
+                subBuilder = lastUpdateTime_.toBuilder();
+              }
+              lastUpdateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(lastUpdateTime_);
+                lastUpdateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MigratableResourceProto
+        .internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MigratableResourceProto
+        .internal_static_google_cloud_aiplatform_v1_MigratableResource_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.MigratableResource.class,
+            com.google.cloud.aiplatform.v1.MigratableResource.Builder.class);
+  }
+
+  public interface MlEngineModelVersionOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * The ml.googleapis.com endpoint that this model Version currently lives
+     * in.
+     * Example values:
+     * * ml.googleapis.com
+     * * us-centrall-ml.googleapis.com
+     * * europe-west4-ml.googleapis.com
+     * * asia-east1-ml.googleapis.com
+     * </pre>
+     *
+     * <code>string endpoint = 1;</code>
+     *
+     * @return The endpoint.
+     */
+    java.lang.String getEndpoint();
+    /**
+     *
+     *
+     * <pre>
+     * The ml.googleapis.com endpoint that this model Version currently lives
+     * in.
+     * Example values:
+     * * ml.googleapis.com
+     * * us-centrall-ml.googleapis.com
+     * * europe-west4-ml.googleapis.com
+     * * asia-east1-ml.googleapis.com
+     * </pre>
+     *
+     * <code>string endpoint = 1;</code>
+     *
+     * @return The bytes for endpoint.
+     */
+    com.google.protobuf.ByteString getEndpointBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of ml engine model Version.
+     * Format: `projects/{project}/models/{model}/versions/{version}`.
+     * </pre>
+     *
+     * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The version.
+     */
+    java.lang.String getVersion();
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of ml engine model Version.
+     * Format: `projects/{project}/models/{model}/versions/{version}`.
+     * </pre>
+     *
+     * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for version.
+     */
+    com.google.protobuf.ByteString getVersionBytes();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents one model Version in ml.googleapis.com.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion}
+   */
+  public static final class MlEngineModelVersion extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+      MlEngineModelVersionOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use MlEngineModelVersion.newBuilder() to construct.
+    private MlEngineModelVersion(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private MlEngineModelVersion() {
+      endpoint_ = "";
+      version_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new MlEngineModelVersion();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private MlEngineModelVersion(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                endpoint_ = s;
+                break;
+              }
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                version_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.class,
+              com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder.class);
+    }
+
+    public static final int ENDPOINT_FIELD_NUMBER = 1;
+    private volatile java.lang.Object endpoint_;
+    /**
+     *
+     *
+     * <pre>
+     * The ml.googleapis.com endpoint that this model Version currently lives
+     * in.
+     * Example values:
+     * * ml.googleapis.com
+     * * us-centrall-ml.googleapis.com
+     * * europe-west4-ml.googleapis.com
+     * * asia-east1-ml.googleapis.com
+     * </pre>
+     *
+     * <code>string endpoint = 1;</code>
+     *
+     * @return The endpoint.
+     */
+    @java.lang.Override
+    public java.lang.String getEndpoint() {
+      java.lang.Object ref = endpoint_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        endpoint_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ml.googleapis.com endpoint that this model Version currently lives
+     * in.
+     * Example values:
+     * * ml.googleapis.com
+     * * us-centrall-ml.googleapis.com
+     * * europe-west4-ml.googleapis.com
+     * * asia-east1-ml.googleapis.com
+     * </pre>
+     *
+     * <code>string endpoint = 1;</code>
+     *
+     * @return The bytes for endpoint.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getEndpointBytes() {
+      java.lang.Object ref = endpoint_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        endpoint_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int VERSION_FIELD_NUMBER = 2;
+    private volatile java.lang.Object version_;
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of ml engine model Version.
+     * Format: `projects/{project}/models/{model}/versions/{version}`.
+     * </pre>
+     *
+     * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The version.
+     */
+    @java.lang.Override
+    public java.lang.String getVersion() {
+      java.lang.Object ref = version_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        version_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of ml engine model Version.
+     * Format: `projects/{project}/models/{model}/versions/{version}`.
+     * </pre>
+     *
+     * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for version.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getVersionBytes() {
+      java.lang.Object ref = version_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        version_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getEndpointBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, endpoint_);
+      }
+      if (!getVersionBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, version_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getEndpointBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, endpoint_);
+      }
+      if (!getVersionBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, version_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion other =
+          (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) obj;
+
+      if (!getEndpoint().equals(other.getEndpoint())) return false;
+      if (!getVersion().equals(other.getVersion())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
+      hash = (53 * hash) + getEndpoint().hashCode();
+      hash = (37 * hash) + VERSION_FIELD_NUMBER;
+      hash = (53 * hash) + getVersion().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents one model Version in ml.googleapis.com.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+        com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersionOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.class,
+                com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder
+                    .class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        endpoint_ = "";
+
+        version_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion build() {
+        com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion buildPartial() {
+        com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion result =
+            new com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion(this);
+        result.endpoint_ = endpoint_;
+        result.version_ = version_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+                .getDefaultInstance()) return this;
+        if (!other.getEndpoint().isEmpty()) {
+          endpoint_ = other.endpoint_;
+          onChanged();
+        }
+        if (!other.getVersion().isEmpty()) {
+          version_ = other.version_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object endpoint_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * The ml.googleapis.com endpoint that this model Version currently lives
+       * in.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1;</code>
+       *
+       * @return The endpoint.
+       */
+      public java.lang.String getEndpoint() {
+        java.lang.Object ref = endpoint_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          endpoint_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The ml.googleapis.com endpoint that this model Version currently lives
+       * in.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1;</code>
+       *
+       * @return The bytes for endpoint.
+       */
+      public com.google.protobuf.ByteString getEndpointBytes() {
+        java.lang.Object ref = endpoint_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          endpoint_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The ml.googleapis.com endpoint that this model Version currently lives
+       * in.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1;</code>
+       *
+       * @param value The endpoint to set.
+       * @return This builder for chaining.
+       */
+      public Builder setEndpoint(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        endpoint_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The ml.googleapis.com endpoint that this model Version currently lives
+       * in.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1;</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearEndpoint() {
+
+        endpoint_ = getDefaultInstance().getEndpoint();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The ml.googleapis.com endpoint that this model Version currently lives
+       * in.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1;</code>
+       *
+       * @param value The bytes for endpoint to set.
+       * @return This builder for chaining.
+       */
+      public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        endpoint_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object version_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of ml engine model Version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The version.
+       */
+      public java.lang.String getVersion() {
+        java.lang.Object ref = version_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          version_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of ml engine model Version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for version.
+       */
+      public com.google.protobuf.ByteString getVersionBytes() {
+        java.lang.Object ref = version_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          version_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of ml engine model Version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The version to set.
+       * @return This builder for chaining.
+       */
+      public Builder setVersion(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        version_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of ml engine model Version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearVersion() {
+
+        version_ = getDefaultInstance().getVersion();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of ml engine model Version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>string version = 2 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for version to set.
+       * @return This builder for chaining.
+       */
+      public Builder setVersionBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        version_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+    private static final com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion();
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<MlEngineModelVersion> PARSER =
+        new com.google.protobuf.AbstractParser<MlEngineModelVersion>() {
+          @java.lang.Override
+          public MlEngineModelVersion parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new MlEngineModelVersion(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<MlEngineModelVersion> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<MlEngineModelVersion> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface AutomlModelOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigratableResource.AutomlModel)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of automl Model.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}`.
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    java.lang.String getModel();
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of automl Model.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}`.
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    com.google.protobuf.ByteString getModelBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * The Model's display name in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>string model_display_name = 3;</code>
+     *
+     * @return The modelDisplayName.
+     */
+    java.lang.String getModelDisplayName();
+    /**
+     *
+     *
+     * <pre>
+     * The Model's display name in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>string model_display_name = 3;</code>
+     *
+     * @return The bytes for modelDisplayName.
+     */
+    com.google.protobuf.ByteString getModelDisplayNameBytes();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents one Model in automl.googleapis.com.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource.AutomlModel}
+   */
+  public static final class AutomlModel extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigratableResource.AutomlModel)
+      AutomlModelOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use AutomlModel.newBuilder() to construct.
+    private AutomlModel(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private AutomlModel() {
+      model_ = "";
+      modelDisplayName_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new AutomlModel();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private AutomlModel(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                model_ = s;
+                break;
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+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
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+    }
+
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+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+    private volatile java.lang.Object model_;
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of automl Model.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}`.
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
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+    public java.lang.String getModel() {
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+        java.lang.String s = bs.toStringUtf8();
+        model_ = s;
+        return s;
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+    }
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of automl Model.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}`.
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getModelBytes() {
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+      }
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+    public static final int MODEL_DISPLAY_NAME_FIELD_NUMBER = 3;
+    private volatile java.lang.Object modelDisplayName_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model's display name in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>string model_display_name = 3;</code>
+     *
+     * @return The modelDisplayName.
+     */
+    @java.lang.Override
+    public java.lang.String getModelDisplayName() {
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+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        modelDisplayName_ = s;
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+    /**
+     *
+     *
+     * <pre>
+     * The Model's display name in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>string model_display_name = 3;</code>
+     *
+     * @return The bytes for modelDisplayName.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getModelDisplayNameBytes() {
+      java.lang.Object ref = modelDisplayName_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
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+        return b;
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+      memoizedIsInitialized = 1;
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+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getModelBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, model_);
+      }
+      if (!getModelDisplayNameBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 3, modelDisplayName_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getModelBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, model_);
+      }
+      if (!getModelDisplayNameBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, modelDisplayName_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel other =
+          (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) obj;
+
+      if (!getModel().equals(other.getModel())) return false;
+      if (!getModelDisplayName().equals(other.getModelDisplayName())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + MODEL_FIELD_NUMBER;
+      hash = (53 * hash) + getModel().hashCode();
+      hash = (37 * hash) + MODEL_DISPLAY_NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getModelDisplayName().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource.AutomlModel}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigratableResource.AutomlModel)
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlModelOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlModel_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlModel_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.class,
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        model_ = "";
+
+        modelDisplayName_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlModel_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel build() {
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel buildPartial() {
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel result =
+            new com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel(this);
+        result.model_ = model_;
+        result.modelDisplayName_ = modelDisplayName_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.getDefaultInstance())
+          return this;
+        if (!other.getModel().isEmpty()) {
+          model_ = other.model_;
+          onChanged();
+        }
+        if (!other.getModelDisplayName().isEmpty()) {
+          modelDisplayName_ = other.modelDisplayName_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object model_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The model.
+       */
+      public java.lang.String getModel() {
+        java.lang.Object ref = model_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          model_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for model.
+       */
+      public com.google.protobuf.ByteString getModelBytes() {
+        java.lang.Object ref = model_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          model_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModel(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        model_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModel() {
+
+        model_ = getDefaultInstance().getModel();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        model_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object modelDisplayName_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * The Model's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string model_display_name = 3;</code>
+       *
+       * @return The modelDisplayName.
+       */
+      public java.lang.String getModelDisplayName() {
+        java.lang.Object ref = modelDisplayName_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          modelDisplayName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Model's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string model_display_name = 3;</code>
+       *
+       * @return The bytes for modelDisplayName.
+       */
+      public com.google.protobuf.ByteString getModelDisplayNameBytes() {
+        java.lang.Object ref = modelDisplayName_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          modelDisplayName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Model's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string model_display_name = 3;</code>
+       *
+       * @param value The modelDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelDisplayName(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        modelDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Model's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string model_display_name = 3;</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModelDisplayName() {
+
+        modelDisplayName_ = getDefaultInstance().getModelDisplayName();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Model's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string model_display_name = 3;</code>
+       *
+       * @param value The bytes for modelDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelDisplayNameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        modelDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigratableResource.AutomlModel)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigratableResource.AutomlModel)
+    private static final com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel();
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<AutomlModel> PARSER =
+        new com.google.protobuf.AbstractParser<AutomlModel>() {
+          @java.lang.Override
+          public AutomlModel parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new AutomlModel(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<AutomlModel> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<AutomlModel> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface AutomlDatasetOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigratableResource.AutomlDataset)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of automl Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    java.lang.String getDataset();
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of automl Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    com.google.protobuf.ByteString getDatasetBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * The Dataset's display name in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 4;</code>
+     *
+     * @return The datasetDisplayName.
+     */
+    java.lang.String getDatasetDisplayName();
+    /**
+     *
+     *
+     * <pre>
+     * The Dataset's display name in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 4;</code>
+     *
+     * @return The bytes for datasetDisplayName.
+     */
+    com.google.protobuf.ByteString getDatasetDisplayNameBytes();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents one Dataset in automl.googleapis.com.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource.AutomlDataset}
+   */
+  public static final class AutomlDataset extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigratableResource.AutomlDataset)
+      AutomlDatasetOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use AutomlDataset.newBuilder() to construct.
+    private AutomlDataset(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private AutomlDataset() {
+      dataset_ = "";
+      datasetDisplayName_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new AutomlDataset();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private AutomlDataset(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                dataset_ = s;
+                break;
+              }
+            case 34:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                datasetDisplayName_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.class,
+              com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder.class);
+    }
+
+    public static final int DATASET_FIELD_NUMBER = 1;
+    private volatile java.lang.Object dataset_;
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of automl Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    @java.lang.Override
+    public java.lang.String getDataset() {
+      java.lang.Object ref = dataset_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        dataset_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of automl Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetBytes() {
+      java.lang.Object ref = dataset_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        dataset_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DATASET_DISPLAY_NAME_FIELD_NUMBER = 4;
+    private volatile java.lang.Object datasetDisplayName_;
+    /**
+     *
+     *
+     * <pre>
+     * The Dataset's display name in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 4;</code>
+     *
+     * @return The datasetDisplayName.
+     */
+    @java.lang.Override
+    public java.lang.String getDatasetDisplayName() {
+      java.lang.Object ref = datasetDisplayName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        datasetDisplayName_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Dataset's display name in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 4;</code>
+     *
+     * @return The bytes for datasetDisplayName.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
+      java.lang.Object ref = datasetDisplayName_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        datasetDisplayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getDatasetBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, dataset_);
+      }
+      if (!getDatasetDisplayNameBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 4, datasetDisplayName_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getDatasetBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, dataset_);
+      }
+      if (!getDatasetDisplayNameBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, datasetDisplayName_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset other =
+          (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) obj;
+
+      if (!getDataset().equals(other.getDataset())) return false;
+      if (!getDatasetDisplayName().equals(other.getDatasetDisplayName())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + DATASET_FIELD_NUMBER;
+      hash = (53 * hash) + getDataset().hashCode();
+      hash = (37 * hash) + DATASET_DISPLAY_NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getDatasetDisplayName().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource.AutomlDataset}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigratableResource.AutomlDataset)
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlDatasetOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.class,
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        dataset_ = "";
+
+        datasetDisplayName_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset build() {
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset buildPartial() {
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset result =
+            new com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset(this);
+        result.dataset_ = dataset_;
+        result.datasetDisplayName_ = datasetDisplayName_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.getDefaultInstance())
+          return this;
+        if (!other.getDataset().isEmpty()) {
+          dataset_ = other.dataset_;
+          onChanged();
+        }
+        if (!other.getDatasetDisplayName().isEmpty()) {
+          datasetDisplayName_ = other.datasetDisplayName_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object dataset_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The dataset.
+       */
+      public java.lang.String getDataset() {
+        java.lang.Object ref = dataset_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          dataset_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for dataset.
+       */
+      public com.google.protobuf.ByteString getDatasetBytes() {
+        java.lang.Object ref = dataset_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          dataset_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        dataset_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDataset() {
+
+        dataset_ = getDefaultInstance().getDataset();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        dataset_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object datasetDisplayName_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @return The datasetDisplayName.
+       */
+      public java.lang.String getDatasetDisplayName() {
+        java.lang.Object ref = datasetDisplayName_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          datasetDisplayName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @return The bytes for datasetDisplayName.
+       */
+      public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
+        java.lang.Object ref = datasetDisplayName_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          datasetDisplayName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @param value The datasetDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetDisplayName(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        datasetDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDatasetDisplayName() {
+
+        datasetDisplayName_ = getDefaultInstance().getDatasetDisplayName();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in automl.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @param value The bytes for datasetDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetDisplayNameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        datasetDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigratableResource.AutomlDataset)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigratableResource.AutomlDataset)
+    private static final com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset();
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<AutomlDataset> PARSER =
+        new com.google.protobuf.AbstractParser<AutomlDataset>() {
+          @java.lang.Override
+          public AutomlDataset parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new AutomlDataset(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<AutomlDataset> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<AutomlDataset> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface DataLabelingDatasetOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of data labeling Dataset.
+     * Format:
+     * `projects/{project}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    java.lang.String getDataset();
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of data labeling Dataset.
+     * Format:
+     * `projects/{project}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    com.google.protobuf.ByteString getDatasetBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * The Dataset's display name in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 4;</code>
+     *
+     * @return The datasetDisplayName.
+     */
+    java.lang.String getDatasetDisplayName();
+    /**
+     *
+     *
+     * <pre>
+     * The Dataset's display name in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 4;</code>
+     *
+     * @return The bytes for datasetDisplayName.
+     */
+    com.google.protobuf.ByteString getDatasetDisplayNameBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    java.util.List<
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset>
+        getDataLabelingAnnotatedDatasetsList();
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+            .DataLabelingAnnotatedDataset
+        getDataLabelingAnnotatedDatasets(int index);
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    int getDataLabelingAnnotatedDatasetsCount();
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                    .DataLabelingAnnotatedDatasetOrBuilder>
+        getDataLabelingAnnotatedDatasetsOrBuilderList();
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+            .DataLabelingAnnotatedDatasetOrBuilder
+        getDataLabelingAnnotatedDatasetsOrBuilder(int index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents one Dataset in datalabeling.googleapis.com.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset}
+   */
+  public static final class DataLabelingDataset extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+      DataLabelingDatasetOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use DataLabelingDataset.newBuilder() to construct.
+    private DataLabelingDataset(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private DataLabelingDataset() {
+      dataset_ = "";
+      datasetDisplayName_ = "";
+      dataLabelingAnnotatedDatasets_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new DataLabelingDataset();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private DataLabelingDataset(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                dataset_ = s;
+                break;
+              }
+            case 26:
+              {
+                if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                  dataLabelingAnnotatedDatasets_ =
+                      new java.util.ArrayList<
+                          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                              .DataLabelingAnnotatedDataset>();
+                  mutable_bitField0_ |= 0x00000001;
+                }
+                dataLabelingAnnotatedDatasets_.add(
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                            .DataLabelingAnnotatedDataset.parser(),
+                        extensionRegistry));
+                break;
+              }
+            case 34:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                datasetDisplayName_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          dataLabelingAnnotatedDatasets_ =
+              java.util.Collections.unmodifiableList(dataLabelingAnnotatedDatasets_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.class,
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder.class);
+    }
+
+    public interface DataLabelingAnnotatedDatasetOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling AnnotatedDataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+       * </pre>
+       *
+       * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The annotatedDataset.
+       */
+      java.lang.String getAnnotatedDataset();
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling AnnotatedDataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+       * </pre>
+       *
+       * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for annotatedDataset.
+       */
+      com.google.protobuf.ByteString getAnnotatedDatasetBytes();
+
+      /**
+       *
+       *
+       * <pre>
+       * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string annotated_dataset_display_name = 3;</code>
+       *
+       * @return The annotatedDatasetDisplayName.
+       */
+      java.lang.String getAnnotatedDatasetDisplayName();
+      /**
+       *
+       *
+       * <pre>
+       * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string annotated_dataset_display_name = 3;</code>
+       *
+       * @return The bytes for annotatedDatasetDisplayName.
+       */
+      com.google.protobuf.ByteString getAnnotatedDatasetDisplayNameBytes();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents one AnnotatedDataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset}
+     */
+    public static final class DataLabelingAnnotatedDataset
+        extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset)
+        DataLabelingAnnotatedDatasetOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use DataLabelingAnnotatedDataset.newBuilder() to construct.
+      private DataLabelingAnnotatedDataset(
+          com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private DataLabelingAnnotatedDataset() {
+        annotatedDataset_ = "";
+        annotatedDatasetDisplayName_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new DataLabelingAnnotatedDataset();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private DataLabelingAnnotatedDataset(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  annotatedDataset_ = s;
+                  break;
+                }
+              case 26:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  annotatedDatasetDisplayName_ = s;
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                    .DataLabelingAnnotatedDataset.class,
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                    .DataLabelingAnnotatedDataset.Builder.class);
+      }
+
+      public static final int ANNOTATED_DATASET_FIELD_NUMBER = 1;
+      private volatile java.lang.Object annotatedDataset_;
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling AnnotatedDataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+       * </pre>
+       *
+       * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The annotatedDataset.
+       */
+      @java.lang.Override
+      public java.lang.String getAnnotatedDataset() {
+        java.lang.Object ref = annotatedDataset_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          annotatedDataset_ = s;
+          return s;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling AnnotatedDataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+       * </pre>
+       *
+       * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for annotatedDataset.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getAnnotatedDatasetBytes() {
+        java.lang.Object ref = annotatedDataset_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          annotatedDataset_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      public static final int ANNOTATED_DATASET_DISPLAY_NAME_FIELD_NUMBER = 3;
+      private volatile java.lang.Object annotatedDatasetDisplayName_;
+      /**
+       *
+       *
+       * <pre>
+       * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string annotated_dataset_display_name = 3;</code>
+       *
+       * @return The annotatedDatasetDisplayName.
+       */
+      @java.lang.Override
+      public java.lang.String getAnnotatedDatasetDisplayName() {
+        java.lang.Object ref = annotatedDatasetDisplayName_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          annotatedDatasetDisplayName_ = s;
+          return s;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string annotated_dataset_display_name = 3;</code>
+       *
+       * @return The bytes for annotatedDatasetDisplayName.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getAnnotatedDatasetDisplayNameBytes() {
+        java.lang.Object ref = annotatedDatasetDisplayName_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          annotatedDatasetDisplayName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getAnnotatedDatasetBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, annotatedDataset_);
+        }
+        if (!getAnnotatedDatasetDisplayNameBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(
+              output, 3, annotatedDatasetDisplayName_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getAnnotatedDatasetBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, annotatedDataset_);
+        }
+        if (!getAnnotatedDatasetDisplayNameBytes().isEmpty()) {
+          size +=
+              com.google.protobuf.GeneratedMessageV3.computeStringSize(
+                  3, annotatedDatasetDisplayName_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset
+            other =
+                (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                        .DataLabelingAnnotatedDataset)
+                    obj;
+
+        if (!getAnnotatedDataset().equals(other.getAnnotatedDataset())) return false;
+        if (!getAnnotatedDatasetDisplayName().equals(other.getAnnotatedDatasetDisplayName()))
+          return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + ANNOTATED_DATASET_FIELD_NUMBER;
+        hash = (53 * hash) + getAnnotatedDataset().hashCode();
+        hash = (37 * hash) + ANNOTATED_DATASET_DISPLAY_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getAnnotatedDatasetDisplayName().hashCode();
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Represents one AnnotatedDataset in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset)
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDatasetOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.MigratableResourceProto
+              .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.MigratableResourceProto
+              .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                      .DataLabelingAnnotatedDataset.class,
+                  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                      .DataLabelingAnnotatedDataset.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          annotatedDataset_ = "";
+
+          annotatedDatasetDisplayName_ = "";
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.MigratableResourceProto
+              .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset
+            build() {
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset
+              result =
+                  new com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                      .DataLabelingAnnotatedDataset(this);
+          result.annotatedDataset_ = annotatedDataset_;
+          result.annotatedDatasetDisplayName_ = annotatedDatasetDisplayName_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                        .DataLabelingAnnotatedDataset)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                    .DataLabelingAnnotatedDataset
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset.getDefaultInstance()) return this;
+          if (!other.getAnnotatedDataset().isEmpty()) {
+            annotatedDataset_ = other.annotatedDataset_;
+            onChanged();
+          }
+          if (!other.getAnnotatedDatasetDisplayName().isEmpty()) {
+            annotatedDatasetDisplayName_ = other.annotatedDatasetDisplayName_;
+            onChanged();
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                        .DataLabelingAnnotatedDataset)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object annotatedDataset_ = "";
+        /**
+         *
+         *
+         * <pre>
+         * Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+         *
+         * @return The annotatedDataset.
+         */
+        public java.lang.String getAnnotatedDataset() {
+          java.lang.Object ref = annotatedDataset_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            annotatedDataset_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+         *
+         * @return The bytes for annotatedDataset.
+         */
+        public com.google.protobuf.ByteString getAnnotatedDatasetBytes() {
+          java.lang.Object ref = annotatedDataset_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            annotatedDataset_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+         *
+         * @param value The annotatedDataset to set.
+         * @return This builder for chaining.
+         */
+        public Builder setAnnotatedDataset(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          annotatedDataset_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearAnnotatedDataset() {
+
+          annotatedDataset_ = getDefaultInstance().getAnnotatedDataset();
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>string annotated_dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+         *
+         * @param value The bytes for annotatedDataset to set.
+         * @return This builder for chaining.
+         */
+        public Builder setAnnotatedDatasetBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          annotatedDataset_ = value;
+          onChanged();
+          return this;
+        }
+
+        private java.lang.Object annotatedDatasetDisplayName_ = "";
+        /**
+         *
+         *
+         * <pre>
+         * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+         * </pre>
+         *
+         * <code>string annotated_dataset_display_name = 3;</code>
+         *
+         * @return The annotatedDatasetDisplayName.
+         */
+        public java.lang.String getAnnotatedDatasetDisplayName() {
+          java.lang.Object ref = annotatedDatasetDisplayName_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            annotatedDatasetDisplayName_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+         * </pre>
+         *
+         * <code>string annotated_dataset_display_name = 3;</code>
+         *
+         * @return The bytes for annotatedDatasetDisplayName.
+         */
+        public com.google.protobuf.ByteString getAnnotatedDatasetDisplayNameBytes() {
+          java.lang.Object ref = annotatedDatasetDisplayName_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            annotatedDatasetDisplayName_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+         * </pre>
+         *
+         * <code>string annotated_dataset_display_name = 3;</code>
+         *
+         * @param value The annotatedDatasetDisplayName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setAnnotatedDatasetDisplayName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          annotatedDatasetDisplayName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+         * </pre>
+         *
+         * <code>string annotated_dataset_display_name = 3;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearAnnotatedDatasetDisplayName() {
+
+          annotatedDatasetDisplayName_ = getDefaultInstance().getAnnotatedDatasetDisplayName();
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The AnnotatedDataset's display name in datalabeling.googleapis.com.
+         * </pre>
+         *
+         * <code>string annotated_dataset_display_name = 3;</code>
+         *
+         * @param value The bytes for annotatedDatasetDisplayName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setAnnotatedDatasetDisplayNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          annotatedDatasetDisplayName_ = value;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset)
+      private static final com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset();
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<DataLabelingAnnotatedDataset> PARSER =
+          new com.google.protobuf.AbstractParser<DataLabelingAnnotatedDataset>() {
+            @java.lang.Override
+            public DataLabelingAnnotatedDataset parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new DataLabelingAnnotatedDataset(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<DataLabelingAnnotatedDataset> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<DataLabelingAnnotatedDataset> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public static final int DATASET_FIELD_NUMBER = 1;
+    private volatile java.lang.Object dataset_;
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of data labeling Dataset.
+     * Format:
+     * `projects/{project}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    @java.lang.Override
+    public java.lang.String getDataset() {
+      java.lang.Object ref = dataset_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        dataset_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Full resource name of data labeling Dataset.
+     * Format:
+     * `projects/{project}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetBytes() {
+      java.lang.Object ref = dataset_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        dataset_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DATASET_DISPLAY_NAME_FIELD_NUMBER = 4;
+    private volatile java.lang.Object datasetDisplayName_;
+    /**
+     *
+     *
+     * <pre>
+     * The Dataset's display name in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 4;</code>
+     *
+     * @return The datasetDisplayName.
+     */
+    @java.lang.Override
+    public java.lang.String getDatasetDisplayName() {
+      java.lang.Object ref = datasetDisplayName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        datasetDisplayName_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Dataset's display name in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 4;</code>
+     *
+     * @return The bytes for datasetDisplayName.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
+      java.lang.Object ref = datasetDisplayName_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        datasetDisplayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DATA_LABELING_ANNOTATED_DATASETS_FIELD_NUMBER = 3;
+    private java.util.List<
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset>
+        dataLabelingAnnotatedDatasets_;
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    @java.lang.Override
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .DataLabelingAnnotatedDataset>
+        getDataLabelingAnnotatedDatasetsList() {
+      return dataLabelingAnnotatedDatasets_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    @java.lang.Override
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                    .DataLabelingAnnotatedDatasetOrBuilder>
+        getDataLabelingAnnotatedDatasetsOrBuilderList() {
+      return dataLabelingAnnotatedDatasets_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    @java.lang.Override
+    public int getDataLabelingAnnotatedDatasetsCount() {
+      return dataLabelingAnnotatedDatasets_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+            .DataLabelingAnnotatedDataset
+        getDataLabelingAnnotatedDatasets(int index) {
+      return dataLabelingAnnotatedDatasets_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+     * the data labeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+            .DataLabelingAnnotatedDatasetOrBuilder
+        getDataLabelingAnnotatedDatasetsOrBuilder(int index) {
+      return dataLabelingAnnotatedDatasets_.get(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getDatasetBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, dataset_);
+      }
+      for (int i = 0; i < dataLabelingAnnotatedDatasets_.size(); i++) {
+        output.writeMessage(3, dataLabelingAnnotatedDatasets_.get(i));
+      }
+      if (!getDatasetDisplayNameBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 4, datasetDisplayName_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getDatasetBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, dataset_);
+      }
+      for (int i = 0; i < dataLabelingAnnotatedDatasets_.size(); i++) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                3, dataLabelingAnnotatedDatasets_.get(i));
+      }
+      if (!getDatasetDisplayNameBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, datasetDisplayName_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset other =
+          (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) obj;
+
+      if (!getDataset().equals(other.getDataset())) return false;
+      if (!getDatasetDisplayName().equals(other.getDatasetDisplayName())) return false;
+      if (!getDataLabelingAnnotatedDatasetsList()
+          .equals(other.getDataLabelingAnnotatedDatasetsList())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + DATASET_FIELD_NUMBER;
+      hash = (53 * hash) + getDataset().hashCode();
+      hash = (37 * hash) + DATASET_DISPLAY_NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getDatasetDisplayName().hashCode();
+      if (getDataLabelingAnnotatedDatasetsCount() > 0) {
+        hash = (37 * hash) + DATA_LABELING_ANNOTATED_DATASETS_FIELD_NUMBER;
+        hash = (53 * hash) + getDataLabelingAnnotatedDatasetsList().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDatasetOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.class,
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder
+                    .class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+          getDataLabelingAnnotatedDatasetsFieldBuilder();
+        }
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        dataset_ = "";
+
+        datasetDisplayName_ = "";
+
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          dataLabelingAnnotatedDatasets_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.clear();
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigratableResourceProto
+            .internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset build() {
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset buildPartial() {
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset result =
+            new com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset(this);
+        int from_bitField0_ = bitField0_;
+        result.dataset_ = dataset_;
+        result.datasetDisplayName_ = datasetDisplayName_;
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            dataLabelingAnnotatedDatasets_ =
+                java.util.Collections.unmodifiableList(dataLabelingAnnotatedDatasets_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.dataLabelingAnnotatedDatasets_ = dataLabelingAnnotatedDatasets_;
+        } else {
+          result.dataLabelingAnnotatedDatasets_ = dataLabelingAnnotatedDatasetsBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                .getDefaultInstance()) return this;
+        if (!other.getDataset().isEmpty()) {
+          dataset_ = other.dataset_;
+          onChanged();
+        }
+        if (!other.getDatasetDisplayName().isEmpty()) {
+          datasetDisplayName_ = other.datasetDisplayName_;
+          onChanged();
+        }
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          if (!other.dataLabelingAnnotatedDatasets_.isEmpty()) {
+            if (dataLabelingAnnotatedDatasets_.isEmpty()) {
+              dataLabelingAnnotatedDatasets_ = other.dataLabelingAnnotatedDatasets_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureDataLabelingAnnotatedDatasetsIsMutable();
+              dataLabelingAnnotatedDatasets_.addAll(other.dataLabelingAnnotatedDatasets_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.dataLabelingAnnotatedDatasets_.isEmpty()) {
+            if (dataLabelingAnnotatedDatasetsBuilder_.isEmpty()) {
+              dataLabelingAnnotatedDatasetsBuilder_.dispose();
+              dataLabelingAnnotatedDatasetsBuilder_ = null;
+              dataLabelingAnnotatedDatasets_ = other.dataLabelingAnnotatedDatasets_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              dataLabelingAnnotatedDatasetsBuilder_ =
+                  com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                      ? getDataLabelingAnnotatedDatasetsFieldBuilder()
+                      : null;
+            } else {
+              dataLabelingAnnotatedDatasetsBuilder_.addAllMessages(
+                  other.dataLabelingAnnotatedDatasets_);
+            }
+          }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int bitField0_;
+
+      private java.lang.Object dataset_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The dataset.
+       */
+      public java.lang.String getDataset() {
+        java.lang.Object ref = dataset_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          dataset_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for dataset.
+       */
+      public com.google.protobuf.ByteString getDatasetBytes() {
+        java.lang.Object ref = dataset_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          dataset_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        dataset_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDataset() {
+
+        dataset_ = getDefaultInstance().getDataset();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        dataset_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object datasetDisplayName_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @return The datasetDisplayName.
+       */
+      public java.lang.String getDatasetDisplayName() {
+        java.lang.Object ref = datasetDisplayName_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          datasetDisplayName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @return The bytes for datasetDisplayName.
+       */
+      public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
+        java.lang.Object ref = datasetDisplayName_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          datasetDisplayName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @param value The datasetDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetDisplayName(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        datasetDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDatasetDisplayName() {
+
+        datasetDisplayName_ = getDefaultInstance().getDatasetDisplayName();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The Dataset's display name in datalabeling.googleapis.com.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 4;</code>
+       *
+       * @param value The bytes for datasetDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetDisplayNameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        datasetDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.util.List<
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset>
+          dataLabelingAnnotatedDatasets_ = java.util.Collections.emptyList();
+
+      private void ensureDataLabelingAnnotatedDatasetsIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          dataLabelingAnnotatedDatasets_ =
+              new java.util.ArrayList<
+                  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                      .DataLabelingAnnotatedDataset>(dataLabelingAnnotatedDatasets_);
+          bitField0_ |= 0x00000001;
+        }
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset,
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset.Builder,
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDatasetOrBuilder>
+          dataLabelingAnnotatedDatasetsBuilder_;
+
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset>
+          getDataLabelingAnnotatedDatasetsList() {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(dataLabelingAnnotatedDatasets_);
+        } else {
+          return dataLabelingAnnotatedDatasetsBuilder_.getMessageList();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public int getDataLabelingAnnotatedDatasetsCount() {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          return dataLabelingAnnotatedDatasets_.size();
+        } else {
+          return dataLabelingAnnotatedDatasetsBuilder_.getCount();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset
+          getDataLabelingAnnotatedDatasets(int index) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          return dataLabelingAnnotatedDatasets_.get(index);
+        } else {
+          return dataLabelingAnnotatedDatasetsBuilder_.getMessage(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder setDataLabelingAnnotatedDatasets(
+          int index,
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset
+              value) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureDataLabelingAnnotatedDatasetsIsMutable();
+          dataLabelingAnnotatedDatasets_.set(index, value);
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder setDataLabelingAnnotatedDatasets(
+          int index,
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset.Builder
+              builderForValue) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          ensureDataLabelingAnnotatedDatasetsIsMutable();
+          dataLabelingAnnotatedDatasets_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder addDataLabelingAnnotatedDatasets(
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset
+              value) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureDataLabelingAnnotatedDatasetsIsMutable();
+          dataLabelingAnnotatedDatasets_.add(value);
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder addDataLabelingAnnotatedDatasets(
+          int index,
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset
+              value) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureDataLabelingAnnotatedDatasetsIsMutable();
+          dataLabelingAnnotatedDatasets_.add(index, value);
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder addDataLabelingAnnotatedDatasets(
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset.Builder
+              builderForValue) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          ensureDataLabelingAnnotatedDatasetsIsMutable();
+          dataLabelingAnnotatedDatasets_.add(builderForValue.build());
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder addDataLabelingAnnotatedDatasets(
+          int index,
+          com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset.Builder
+              builderForValue) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          ensureDataLabelingAnnotatedDatasetsIsMutable();
+          dataLabelingAnnotatedDatasets_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder addAllDataLabelingAnnotatedDatasets(
+          java.lang.Iterable<
+                  ? extends
+                      com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                          .DataLabelingAnnotatedDataset>
+              values) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          ensureDataLabelingAnnotatedDatasetsIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(
+              values, dataLabelingAnnotatedDatasets_);
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder clearDataLabelingAnnotatedDatasets() {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          dataLabelingAnnotatedDatasets_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public Builder removeDataLabelingAnnotatedDatasets(int index) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          ensureDataLabelingAnnotatedDatasetsIsMutable();
+          dataLabelingAnnotatedDatasets_.remove(index);
+          onChanged();
+        } else {
+          dataLabelingAnnotatedDatasetsBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset.Builder
+          getDataLabelingAnnotatedDatasetsBuilder(int index) {
+        return getDataLabelingAnnotatedDatasetsFieldBuilder().getBuilder(index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDatasetOrBuilder
+          getDataLabelingAnnotatedDatasetsOrBuilder(int index) {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          return dataLabelingAnnotatedDatasets_.get(index);
+        } else {
+          return dataLabelingAnnotatedDatasetsBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public java.util.List<
+              ? extends
+                  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                      .DataLabelingAnnotatedDatasetOrBuilder>
+          getDataLabelingAnnotatedDatasetsOrBuilderList() {
+        if (dataLabelingAnnotatedDatasetsBuilder_ != null) {
+          return dataLabelingAnnotatedDatasetsBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(dataLabelingAnnotatedDatasets_);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset.Builder
+          addDataLabelingAnnotatedDatasetsBuilder() {
+        return getDataLabelingAnnotatedDatasetsFieldBuilder()
+            .addBuilder(
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                    .DataLabelingAnnotatedDataset.getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+              .DataLabelingAnnotatedDataset.Builder
+          addDataLabelingAnnotatedDatasetsBuilder(int index) {
+        return getDataLabelingAnnotatedDatasetsFieldBuilder()
+            .addBuilder(
+                index,
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                    .DataLabelingAnnotatedDataset.getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+       * the data labeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+       * </code>
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset.Builder>
+          getDataLabelingAnnotatedDatasetsBuilderList() {
+        return getDataLabelingAnnotatedDatasetsFieldBuilder().getBuilderList();
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset,
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDataset.Builder,
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .DataLabelingAnnotatedDatasetOrBuilder>
+          getDataLabelingAnnotatedDatasetsFieldBuilder() {
+        if (dataLabelingAnnotatedDatasetsBuilder_ == null) {
+          dataLabelingAnnotatedDatasetsBuilder_ =
+              new com.google.protobuf.RepeatedFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                      .DataLabelingAnnotatedDataset,
+                  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                      .DataLabelingAnnotatedDataset.Builder,
+                  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                      .DataLabelingAnnotatedDatasetOrBuilder>(
+                  dataLabelingAnnotatedDatasets_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          dataLabelingAnnotatedDatasets_ = null;
+        }
+        return dataLabelingAnnotatedDatasetsBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+    private static final com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset();
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<DataLabelingDataset> PARSER =
+        new com.google.protobuf.AbstractParser<DataLabelingDataset>() {
+          @java.lang.Override
+          public DataLabelingDataset parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new DataLabelingDataset(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<DataLabelingDataset> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<DataLabelingDataset> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  private int resourceCase_ = 0;
+  private java.lang.Object resource_;
+
+  public enum ResourceCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    ML_ENGINE_MODEL_VERSION(1),
+    AUTOML_MODEL(2),
+    AUTOML_DATASET(3),
+    DATA_LABELING_DATASET(4),
+    RESOURCE_NOT_SET(0);
+    private final int value;
+
+    private ResourceCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ResourceCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static ResourceCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return ML_ENGINE_MODEL_VERSION;
+        case 2:
+          return AUTOML_MODEL;
+        case 3:
+          return AUTOML_DATASET;
+        case 4:
+          return DATA_LABELING_DATASET;
+        case 0:
+          return RESOURCE_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public ResourceCase getResourceCase() {
+    return ResourceCase.forNumber(resourceCase_);
+  }
+
+  public static final int ML_ENGINE_MODEL_VERSION_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Version in ml.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the mlEngineModelVersion field is set.
+   */
+  @java.lang.Override
+  public boolean hasMlEngineModelVersion() {
+    return resourceCase_ == 1;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Version in ml.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The mlEngineModelVersion.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+      getMlEngineModelVersion() {
+    if (resourceCase_ == 1) {
+      return (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) resource_;
+    }
+    return com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Version in ml.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersionOrBuilder
+      getMlEngineModelVersionOrBuilder() {
+    if (resourceCase_ == 1) {
+      return (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) resource_;
+    }
+    return com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+        .getDefaultInstance();
+  }
+
+  public static final int AUTOML_MODEL_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Model in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the automlModel field is set.
+   */
+  @java.lang.Override
+  public boolean hasAutomlModel() {
+    return resourceCase_ == 2;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Model in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The automlModel.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel getAutomlModel() {
+    if (resourceCase_ == 2) {
+      return (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_;
+    }
+    return com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Model in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModelOrBuilder
+      getAutomlModelOrBuilder() {
+    if (resourceCase_ == 2) {
+      return (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_;
+    }
+    return com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.getDefaultInstance();
+  }
+
+  public static final int AUTOML_DATASET_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the automlDataset field is set.
+   */
+  @java.lang.Override
+  public boolean hasAutomlDataset() {
+    return resourceCase_ == 3;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The automlDataset.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset getAutomlDataset() {
+    if (resourceCase_ == 3) {
+      return (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_;
+    }
+    return com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDatasetOrBuilder
+      getAutomlDatasetOrBuilder() {
+    if (resourceCase_ == 3) {
+      return (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_;
+    }
+    return com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.getDefaultInstance();
+  }
+
+  public static final int DATA_LABELING_DATASET_FIELD_NUMBER = 4;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the dataLabelingDataset field is set.
+   */
+  @java.lang.Override
+  public boolean hasDataLabelingDataset() {
+    return resourceCase_ == 4;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The dataLabelingDataset.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+      getDataLabelingDataset() {
+    if (resourceCase_ == 4) {
+      return (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) resource_;
+    }
+    return com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDatasetOrBuilder
+      getDataLabelingDatasetOrBuilder() {
+    if (resourceCase_ == 4) {
+      return (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) resource_;
+    }
+    return com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+        .getDefaultInstance();
+  }
+
+  public static final int LAST_MIGRATE_TIME_FIELD_NUMBER = 5;
+  private com.google.protobuf.Timestamp lastMigrateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+   * Will not be set if there's no migration attempt on this MigratableResource.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the lastMigrateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasLastMigrateTime() {
+    return lastMigrateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+   * Will not be set if there's no migration attempt on this MigratableResource.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The lastMigrateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getLastMigrateTime() {
+    return lastMigrateTime_ == null
+        ? com.google.protobuf.Timestamp.getDefaultInstance()
+        : lastMigrateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+   * Will not be set if there's no migration attempt on this MigratableResource.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getLastMigrateTimeOrBuilder() {
+    return getLastMigrateTime();
+  }
+
+  public static final int LAST_UPDATE_TIME_FIELD_NUMBER = 6;
+  private com.google.protobuf.Timestamp lastUpdateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this MigratableResource was last updated.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the lastUpdateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasLastUpdateTime() {
+    return lastUpdateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this MigratableResource was last updated.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The lastUpdateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getLastUpdateTime() {
+    return lastUpdateTime_ == null
+        ? com.google.protobuf.Timestamp.getDefaultInstance()
+        : lastUpdateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this MigratableResource was last updated.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getLastUpdateTimeOrBuilder() {
+    return getLastUpdateTime();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (resourceCase_ == 1) {
+      output.writeMessage(
+          1, (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) resource_);
+    }
+    if (resourceCase_ == 2) {
+      output.writeMessage(
+          2, (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_);
+    }
+    if (resourceCase_ == 3) {
+      output.writeMessage(
+          3, (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_);
+    }
+    if (resourceCase_ == 4) {
+      output.writeMessage(
+          4, (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) resource_);
+    }
+    if (lastMigrateTime_ != null) {
+      output.writeMessage(5, getLastMigrateTime());
+    }
+    if (lastUpdateTime_ != null) {
+      output.writeMessage(6, getLastUpdateTime());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (resourceCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              1,
+              (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) resource_);
+    }
+    if (resourceCase_ == 2) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2, (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_);
+    }
+    if (resourceCase_ == 3) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              3, (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_);
+    }
+    if (resourceCase_ == 4) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              4, (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) resource_);
+    }
+    if (lastMigrateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getLastMigrateTime());
+    }
+    if (lastUpdateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(6, getLastUpdateTime());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.MigratableResource)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.MigratableResource other =
+        (com.google.cloud.aiplatform.v1.MigratableResource) obj;
+
+    if (hasLastMigrateTime() != other.hasLastMigrateTime()) return false;
+    if (hasLastMigrateTime()) {
+      if (!getLastMigrateTime().equals(other.getLastMigrateTime())) return false;
+    }
+    if (hasLastUpdateTime() != other.hasLastUpdateTime()) return false;
+    if (hasLastUpdateTime()) {
+      if (!getLastUpdateTime().equals(other.getLastUpdateTime())) return false;
+    }
+    if (!getResourceCase().equals(other.getResourceCase())) return false;
+    switch (resourceCase_) {
+      case 1:
+        if (!getMlEngineModelVersion().equals(other.getMlEngineModelVersion())) return false;
+        break;
+      case 2:
+        if (!getAutomlModel().equals(other.getAutomlModel())) return false;
+        break;
+      case 3:
+        if (!getAutomlDataset().equals(other.getAutomlDataset())) return false;
+        break;
+      case 4:
+        if (!getDataLabelingDataset().equals(other.getDataLabelingDataset())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasLastMigrateTime()) {
+      hash = (37 * hash) + LAST_MIGRATE_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getLastMigrateTime().hashCode();
+    }
+    if (hasLastUpdateTime()) {
+      hash = (37 * hash) + LAST_UPDATE_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getLastUpdateTime().hashCode();
+    }
+    switch (resourceCase_) {
+      case 1:
+        hash = (37 * hash) + ML_ENGINE_MODEL_VERSION_FIELD_NUMBER;
+        hash = (53 * hash) + getMlEngineModelVersion().hashCode();
+        break;
+      case 2:
+        hash = (37 * hash) + AUTOML_MODEL_FIELD_NUMBER;
+        hash = (53 * hash) + getAutomlModel().hashCode();
+        break;
+      case 3:
+        hash = (37 * hash) + AUTOML_DATASET_FIELD_NUMBER;
+        hash = (53 * hash) + getAutomlDataset().hashCode();
+        break;
+      case 4:
+        hash = (37 * hash) + DATA_LABELING_DATASET_FIELD_NUMBER;
+        hash = (53 * hash) + getDataLabelingDataset().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
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+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.MigratableResource prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents one resource that exists in automl.googleapis.com,
+   * datalabeling.googleapis.com or ml.googleapis.com.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.MigratableResource}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigratableResource)
+      com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigratableResource.class,
+              com.google.cloud.aiplatform.v1.MigratableResource.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.MigratableResource.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (lastMigrateTimeBuilder_ == null) {
+        lastMigrateTime_ = null;
+      } else {
+        lastMigrateTime_ = null;
+        lastMigrateTimeBuilder_ = null;
+      }
+      if (lastUpdateTimeBuilder_ == null) {
+        lastUpdateTime_ = null;
+      } else {
+        lastUpdateTime_ = null;
+        lastUpdateTimeBuilder_ = null;
+      }
+      resourceCase_ = 0;
+      resource_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MigratableResourceProto
+          .internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.MigratableResource.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource build() {
+      com.google.cloud.aiplatform.v1.MigratableResource result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource buildPartial() {
+      com.google.cloud.aiplatform.v1.MigratableResource result =
+          new com.google.cloud.aiplatform.v1.MigratableResource(this);
+      if (resourceCase_ == 1) {
+        if (mlEngineModelVersionBuilder_ == null) {
+          result.resource_ = resource_;
+        } else {
+          result.resource_ = mlEngineModelVersionBuilder_.build();
+        }
+      }
+      if (resourceCase_ == 2) {
+        if (automlModelBuilder_ == null) {
+          result.resource_ = resource_;
+        } else {
+          result.resource_ = automlModelBuilder_.build();
+        }
+      }
+      if (resourceCase_ == 3) {
+        if (automlDatasetBuilder_ == null) {
+          result.resource_ = resource_;
+        } else {
+          result.resource_ = automlDatasetBuilder_.build();
+        }
+      }
+      if (resourceCase_ == 4) {
+        if (dataLabelingDatasetBuilder_ == null) {
+          result.resource_ = resource_;
+        } else {
+          result.resource_ = dataLabelingDatasetBuilder_.build();
+        }
+      }
+      if (lastMigrateTimeBuilder_ == null) {
+        result.lastMigrateTime_ = lastMigrateTime_;
+      } else {
+        result.lastMigrateTime_ = lastMigrateTimeBuilder_.build();
+      }
+      if (lastUpdateTimeBuilder_ == null) {
+        result.lastUpdateTime_ = lastUpdateTime_;
+      } else {
+        result.lastUpdateTime_ = lastUpdateTimeBuilder_.build();
+      }
+      result.resourceCase_ = resourceCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.MigratableResource) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.MigratableResource) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.MigratableResource other) {
+      if (other == com.google.cloud.aiplatform.v1.MigratableResource.getDefaultInstance())
+        return this;
+      if (other.hasLastMigrateTime()) {
+        mergeLastMigrateTime(other.getLastMigrateTime());
+      }
+      if (other.hasLastUpdateTime()) {
+        mergeLastUpdateTime(other.getLastUpdateTime());
+      }
+      switch (other.getResourceCase()) {
+        case ML_ENGINE_MODEL_VERSION:
+          {
+            mergeMlEngineModelVersion(other.getMlEngineModelVersion());
+            break;
+          }
+        case AUTOML_MODEL:
+          {
+            mergeAutomlModel(other.getAutomlModel());
+            break;
+          }
+        case AUTOML_DATASET:
+          {
+            mergeAutomlDataset(other.getAutomlDataset());
+            break;
+          }
+        case DATA_LABELING_DATASET:
+          {
+            mergeDataLabelingDataset(other.getDataLabelingDataset());
+            break;
+          }
+        case RESOURCE_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.MigratableResource parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.MigratableResource) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int resourceCase_ = 0;
+    private java.lang.Object resource_;
+
+    public ResourceCase getResourceCase() {
+      return ResourceCase.forNumber(resourceCase_);
+    }
+
+    public Builder clearResource() {
+      resourceCase_ = 0;
+      resource_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion,
+            com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersionOrBuilder>
+        mlEngineModelVersionBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the mlEngineModelVersion field is set.
+     */
+    @java.lang.Override
+    public boolean hasMlEngineModelVersion() {
+      return resourceCase_ == 1;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The mlEngineModelVersion.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+        getMlEngineModelVersion() {
+      if (mlEngineModelVersionBuilder_ == null) {
+        if (resourceCase_ == 1) {
+          return (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) resource_;
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+            .getDefaultInstance();
+      } else {
+        if (resourceCase_ == 1) {
+          return mlEngineModelVersionBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setMlEngineModelVersion(
+        com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion value) {
+      if (mlEngineModelVersionBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resource_ = value;
+        onChanged();
+      } else {
+        mlEngineModelVersionBuilder_.setMessage(value);
+      }
+      resourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setMlEngineModelVersion(
+        com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder
+            builderForValue) {
+      if (mlEngineModelVersionBuilder_ == null) {
+        resource_ = builderForValue.build();
+        onChanged();
+      } else {
+        mlEngineModelVersionBuilder_.setMessage(builderForValue.build());
+      }
+      resourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeMlEngineModelVersion(
+        com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion value) {
+      if (mlEngineModelVersionBuilder_ == null) {
+        if (resourceCase_ == 1
+            && resource_
+                != com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+                    .getDefaultInstance()) {
+          resource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.newBuilder(
+                      (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion)
+                          resource_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          resource_ = value;
+        }
+        onChanged();
+      } else {
+        if (resourceCase_ == 1) {
+          mlEngineModelVersionBuilder_.mergeFrom(value);
+        }
+        mlEngineModelVersionBuilder_.setMessage(value);
+      }
+      resourceCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearMlEngineModelVersion() {
+      if (mlEngineModelVersionBuilder_ == null) {
+        if (resourceCase_ == 1) {
+          resourceCase_ = 0;
+          resource_ = null;
+          onChanged();
+        }
+      } else {
+        if (resourceCase_ == 1) {
+          resourceCase_ = 0;
+          resource_ = null;
+        }
+        mlEngineModelVersionBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder
+        getMlEngineModelVersionBuilder() {
+      return getMlEngineModelVersionFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersionOrBuilder
+        getMlEngineModelVersionOrBuilder() {
+      if ((resourceCase_ == 1) && (mlEngineModelVersionBuilder_ != null)) {
+        return mlEngineModelVersionBuilder_.getMessageOrBuilder();
+      } else {
+        if (resourceCase_ == 1) {
+          return (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) resource_;
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Version in ml.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion,
+            com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersionOrBuilder>
+        getMlEngineModelVersionFieldBuilder() {
+      if (mlEngineModelVersionBuilder_ == null) {
+        if (!(resourceCase_ == 1)) {
+          resource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion
+                  .getDefaultInstance();
+        }
+        mlEngineModelVersionBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion,
+                com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder,
+                com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersionOrBuilder>(
+                (com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion) resource_,
+                getParentForChildren(),
+                isClean());
+        resource_ = null;
+      }
+      resourceCase_ = 1;
+      onChanged();
+      ;
+      return mlEngineModelVersionBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel,
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlModelOrBuilder>
+        automlModelBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the automlModel field is set.
+     */
+    @java.lang.Override
+    public boolean hasAutomlModel() {
+      return resourceCase_ == 2;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The automlModel.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel getAutomlModel() {
+      if (automlModelBuilder_ == null) {
+        if (resourceCase_ == 2) {
+          return (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_;
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.getDefaultInstance();
+      } else {
+        if (resourceCase_ == 2) {
+          return automlModelBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setAutomlModel(
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel value) {
+      if (automlModelBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resource_ = value;
+        onChanged();
+      } else {
+        automlModelBuilder_.setMessage(value);
+      }
+      resourceCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setAutomlModel(
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.Builder builderForValue) {
+      if (automlModelBuilder_ == null) {
+        resource_ = builderForValue.build();
+        onChanged();
+      } else {
+        automlModelBuilder_.setMessage(builderForValue.build());
+      }
+      resourceCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeAutomlModel(
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel value) {
+      if (automlModelBuilder_ == null) {
+        if (resourceCase_ == 2
+            && resource_
+                != com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel
+                    .getDefaultInstance()) {
+          resource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.newBuilder(
+                      (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          resource_ = value;
+        }
+        onChanged();
+      } else {
+        if (resourceCase_ == 2) {
+          automlModelBuilder_.mergeFrom(value);
+        }
+        automlModelBuilder_.setMessage(value);
+      }
+      resourceCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearAutomlModel() {
+      if (automlModelBuilder_ == null) {
+        if (resourceCase_ == 2) {
+          resourceCase_ = 0;
+          resource_ = null;
+          onChanged();
+        }
+      } else {
+        if (resourceCase_ == 2) {
+          resourceCase_ = 0;
+          resource_ = null;
+        }
+        automlModelBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.Builder
+        getAutomlModelBuilder() {
+      return getAutomlModelFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.AutomlModelOrBuilder
+        getAutomlModelOrBuilder() {
+      if ((resourceCase_ == 2) && (automlModelBuilder_ != null)) {
+        return automlModelBuilder_.getMessageOrBuilder();
+      } else {
+        if (resourceCase_ == 2) {
+          return (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_;
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Model in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel,
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlModelOrBuilder>
+        getAutomlModelFieldBuilder() {
+      if (automlModelBuilder_ == null) {
+        if (!(resourceCase_ == 2)) {
+          resource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.getDefaultInstance();
+        }
+        automlModelBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel,
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.Builder,
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlModelOrBuilder>(
+                (com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel) resource_,
+                getParentForChildren(),
+                isClean());
+        resource_ = null;
+      }
+      resourceCase_ = 2;
+      onChanged();
+      ;
+      return automlModelBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset,
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlDatasetOrBuilder>
+        automlDatasetBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the automlDataset field is set.
+     */
+    @java.lang.Override
+    public boolean hasAutomlDataset() {
+      return resourceCase_ == 3;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The automlDataset.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset getAutomlDataset() {
+      if (automlDatasetBuilder_ == null) {
+        if (resourceCase_ == 3) {
+          return (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_;
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.getDefaultInstance();
+      } else {
+        if (resourceCase_ == 3) {
+          return automlDatasetBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setAutomlDataset(
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset value) {
+      if (automlDatasetBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resource_ = value;
+        onChanged();
+      } else {
+        automlDatasetBuilder_.setMessage(value);
+      }
+      resourceCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setAutomlDataset(
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder builderForValue) {
+      if (automlDatasetBuilder_ == null) {
+        resource_ = builderForValue.build();
+        onChanged();
+      } else {
+        automlDatasetBuilder_.setMessage(builderForValue.build());
+      }
+      resourceCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeAutomlDataset(
+        com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset value) {
+      if (automlDatasetBuilder_ == null) {
+        if (resourceCase_ == 3
+            && resource_
+                != com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset
+                    .getDefaultInstance()) {
+          resource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.newBuilder(
+                      (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          resource_ = value;
+        }
+        onChanged();
+      } else {
+        if (resourceCase_ == 3) {
+          automlDatasetBuilder_.mergeFrom(value);
+        }
+        automlDatasetBuilder_.setMessage(value);
+      }
+      resourceCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearAutomlDataset() {
+      if (automlDatasetBuilder_ == null) {
+        if (resourceCase_ == 3) {
+          resourceCase_ = 0;
+          resource_ = null;
+          onChanged();
+        }
+      } else {
+        if (resourceCase_ == 3) {
+          resourceCase_ = 0;
+          resource_ = null;
+        }
+        automlDatasetBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder
+        getAutomlDatasetBuilder() {
+      return getAutomlDatasetFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.AutomlDatasetOrBuilder
+        getAutomlDatasetOrBuilder() {
+      if ((resourceCase_ == 3) && (automlDatasetBuilder_ != null)) {
+        return automlDatasetBuilder_.getMessageOrBuilder();
+      } else {
+        if (resourceCase_ == 3) {
+          return (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_;
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in automl.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset,
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResource.AutomlDatasetOrBuilder>
+        getAutomlDatasetFieldBuilder() {
+      if (automlDatasetBuilder_ == null) {
+        if (!(resourceCase_ == 3)) {
+          resource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.getDefaultInstance();
+        }
+        automlDatasetBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset,
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder,
+                com.google.cloud.aiplatform.v1.MigratableResource.AutomlDatasetOrBuilder>(
+                (com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset) resource_,
+                getParentForChildren(),
+                isClean());
+        resource_ = null;
+      }
+      resourceCase_ = 3;
+      onChanged();
+      ;
+      return automlDatasetBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset,
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDatasetOrBuilder>
+        dataLabelingDatasetBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the dataLabelingDataset field is set.
+     */
+    @java.lang.Override
+    public boolean hasDataLabelingDataset() {
+      return resourceCase_ == 4;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The dataLabelingDataset.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+        getDataLabelingDataset() {
+      if (dataLabelingDatasetBuilder_ == null) {
+        if (resourceCase_ == 4) {
+          return (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) resource_;
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+            .getDefaultInstance();
+      } else {
+        if (resourceCase_ == 4) {
+          return dataLabelingDatasetBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setDataLabelingDataset(
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset value) {
+      if (dataLabelingDatasetBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resource_ = value;
+        onChanged();
+      } else {
+        dataLabelingDatasetBuilder_.setMessage(value);
+      }
+      resourceCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setDataLabelingDataset(
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder
+            builderForValue) {
+      if (dataLabelingDatasetBuilder_ == null) {
+        resource_ = builderForValue.build();
+        onChanged();
+      } else {
+        dataLabelingDatasetBuilder_.setMessage(builderForValue.build());
+      }
+      resourceCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeDataLabelingDataset(
+        com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset value) {
+      if (dataLabelingDatasetBuilder_ == null) {
+        if (resourceCase_ == 4
+            && resource_
+                != com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                    .getDefaultInstance()) {
+          resource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.newBuilder(
+                      (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset)
+                          resource_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          resource_ = value;
+        }
+        onChanged();
+      } else {
+        if (resourceCase_ == 4) {
+          dataLabelingDatasetBuilder_.mergeFrom(value);
+        }
+        dataLabelingDatasetBuilder_.setMessage(value);
+      }
+      resourceCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearDataLabelingDataset() {
+      if (dataLabelingDatasetBuilder_ == null) {
+        if (resourceCase_ == 4) {
+          resourceCase_ = 0;
+          resource_ = null;
+          onChanged();
+        }
+      } else {
+        if (resourceCase_ == 4) {
+          resourceCase_ = 0;
+          resource_ = null;
+        }
+        dataLabelingDatasetBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder
+        getDataLabelingDatasetBuilder() {
+      return getDataLabelingDatasetFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDatasetOrBuilder
+        getDataLabelingDatasetOrBuilder() {
+      if ((resourceCase_ == 4) && (dataLabelingDatasetBuilder_ != null)) {
+        return dataLabelingDatasetBuilder_.getMessageOrBuilder();
+      } else {
+        if (resourceCase_ == 4) {
+          return (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) resource_;
+        }
+        return com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Represents one Dataset in datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset,
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDatasetOrBuilder>
+        getDataLabelingDatasetFieldBuilder() {
+      if (dataLabelingDatasetBuilder_ == null) {
+        if (!(resourceCase_ == 4)) {
+          resource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset
+                  .getDefaultInstance();
+        }
+        dataLabelingDatasetBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset,
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder,
+                com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDatasetOrBuilder>(
+                (com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset) resource_,
+                getParentForChildren(),
+                isClean());
+        resource_ = null;
+      }
+      resourceCase_ = 4;
+      onChanged();
+      ;
+      return dataLabelingDatasetBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp lastMigrateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        lastMigrateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the lastMigrateTime field is set.
+     */
+    public boolean hasLastMigrateTime() {
+      return lastMigrateTimeBuilder_ != null || lastMigrateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The lastMigrateTime.
+     */
+    public com.google.protobuf.Timestamp getLastMigrateTime() {
+      if (lastMigrateTimeBuilder_ == null) {
+        return lastMigrateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : lastMigrateTime_;
+      } else {
+        return lastMigrateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setLastMigrateTime(com.google.protobuf.Timestamp value) {
+      if (lastMigrateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        lastMigrateTime_ = value;
+        onChanged();
+      } else {
+        lastMigrateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setLastMigrateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (lastMigrateTimeBuilder_ == null) {
+        lastMigrateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        lastMigrateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeLastMigrateTime(com.google.protobuf.Timestamp value) {
+      if (lastMigrateTimeBuilder_ == null) {
+        if (lastMigrateTime_ != null) {
+          lastMigrateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(lastMigrateTime_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          lastMigrateTime_ = value;
+        }
+        onChanged();
+      } else {
+        lastMigrateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearLastMigrateTime() {
+      if (lastMigrateTimeBuilder_ == null) {
+        lastMigrateTime_ = null;
+        onChanged();
+      } else {
+        lastMigrateTime_ = null;
+        lastMigrateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getLastMigrateTimeBuilder() {
+
+      onChanged();
+      return getLastMigrateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getLastMigrateTimeOrBuilder() {
+      if (lastMigrateTimeBuilder_ != null) {
+        return lastMigrateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return lastMigrateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : lastMigrateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+     * Will not be set if there's no migration attempt on this MigratableResource.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getLastMigrateTimeFieldBuilder() {
+      if (lastMigrateTimeBuilder_ == null) {
+        lastMigrateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getLastMigrateTime(), getParentForChildren(), isClean());
+        lastMigrateTime_ = null;
+      }
+      return lastMigrateTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp lastUpdateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        lastUpdateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the lastUpdateTime field is set.
+     */
+    public boolean hasLastUpdateTime() {
+      return lastUpdateTimeBuilder_ != null || lastUpdateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The lastUpdateTime.
+     */
+    public com.google.protobuf.Timestamp getLastUpdateTime() {
+      if (lastUpdateTimeBuilder_ == null) {
+        return lastUpdateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : lastUpdateTime_;
+      } else {
+        return lastUpdateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setLastUpdateTime(com.google.protobuf.Timestamp value) {
+      if (lastUpdateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        lastUpdateTime_ = value;
+        onChanged();
+      } else {
+        lastUpdateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setLastUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (lastUpdateTimeBuilder_ == null) {
+        lastUpdateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        lastUpdateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeLastUpdateTime(com.google.protobuf.Timestamp value) {
+      if (lastUpdateTimeBuilder_ == null) {
+        if (lastUpdateTime_ != null) {
+          lastUpdateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(lastUpdateTime_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          lastUpdateTime_ = value;
+        }
+        onChanged();
+      } else {
+        lastUpdateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearLastUpdateTime() {
+      if (lastUpdateTimeBuilder_ == null) {
+        lastUpdateTime_ = null;
+        onChanged();
+      } else {
+        lastUpdateTime_ = null;
+        lastUpdateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getLastUpdateTimeBuilder() {
+
+      onChanged();
+      return getLastUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getLastUpdateTimeOrBuilder() {
+      if (lastUpdateTimeBuilder_ != null) {
+        return lastUpdateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return lastUpdateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : lastUpdateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this MigratableResource was last updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getLastUpdateTimeFieldBuilder() {
+      if (lastUpdateTimeBuilder_ == null) {
+        lastUpdateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getLastUpdateTime(), getParentForChildren(), isClean());
+        lastUpdateTime_ = null;
+      }
+      return lastUpdateTimeBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigratableResource)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigratableResource)
+  private static final com.google.cloud.aiplatform.v1.MigratableResource DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.MigratableResource();
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigratableResource getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<MigratableResource> PARSER =
+      new com.google.protobuf.AbstractParser<MigratableResource>() {
+        @java.lang.Override
+        public MigratableResource parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new MigratableResource(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<MigratableResource> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<MigratableResource> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceOrBuilder.java
new file mode 100644
index 000000000..7af63e0c4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceOrBuilder.java
@@ -0,0 +1,279 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migratable_resource.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface MigratableResourceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigratableResource)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Version in ml.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the mlEngineModelVersion field is set.
+   */
+  boolean hasMlEngineModelVersion();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Version in ml.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The mlEngineModelVersion.
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion getMlEngineModelVersion();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Version in ml.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion ml_engine_model_version = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersionOrBuilder
+      getMlEngineModelVersionOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Model in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the automlModel field is set.
+   */
+  boolean hasAutomlModel();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Model in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The automlModel.
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel getAutomlModel();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Model in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlModel automl_model = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource.AutomlModelOrBuilder getAutomlModelOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the automlDataset field is set.
+   */
+  boolean hasAutomlDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The automlDataset.
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset getAutomlDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in automl.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.AutomlDataset automl_dataset = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource.AutomlDatasetOrBuilder
+      getAutomlDatasetOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the dataLabelingDataset field is set.
+   */
+  boolean hasDataLabelingDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The dataLabelingDataset.
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset getDataLabelingDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Represents one Dataset in datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset data_labeling_dataset = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDatasetOrBuilder
+      getDataLabelingDatasetOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+   * Will not be set if there's no migration attempt on this MigratableResource.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the lastMigrateTime field is set.
+   */
+  boolean hasLastMigrateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+   * Will not be set if there's no migration attempt on this MigratableResource.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The lastMigrateTime.
+   */
+  com.google.protobuf.Timestamp getLastMigrateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when the last migration attempt on this MigratableResource started.
+   * Will not be set if there's no migration attempt on this MigratableResource.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_migrate_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getLastMigrateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this MigratableResource was last updated.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the lastUpdateTime field is set.
+   */
+  boolean hasLastUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this MigratableResource was last updated.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The lastUpdateTime.
+   */
+  com.google.protobuf.Timestamp getLastUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this MigratableResource was last updated.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Timestamp last_update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getLastUpdateTimeOrBuilder();
+
+  public com.google.cloud.aiplatform.v1.MigratableResource.ResourceCase getResourceCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceProto.java
new file mode 100644
index 000000000..2096f3f31
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigratableResourceProto.java
@@ -0,0 +1,203 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migratable_resource.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class MigratableResourceProto {
+  private MigratableResourceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlModel_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlModel_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n4google/cloud/aiplatform/v1/migratable_"
+          + "resource.proto\022\032google.cloud.aiplatform."
+          + "v1\032\037google/api/field_behavior.proto\032\031goo"
+          + "gle/api/resource.proto\032\037google/protobuf/"
+          + "timestamp.proto\032\034google/api/annotations."
+          + "proto\"\323\t\n\022MigratableResource\022k\n\027ml_engin"
+          + "e_model_version\030\001 \001(\0132C.google.cloud.aip"
+          + "latform.v1.MigratableResource.MlEngineMo"
+          + "delVersionB\003\340A\003H\000\022W\n\014automl_model\030\002 \001(\0132"
+          + ":.google.cloud.aiplatform.v1.MigratableR"
+          + "esource.AutomlModelB\003\340A\003H\000\022[\n\016automl_dat"
+          + "aset\030\003 \001(\0132<.google.cloud.aiplatform.v1."
+          + "MigratableResource.AutomlDatasetB\003\340A\003H\000\022"
+          + "h\n\025data_labeling_dataset\030\004 \001(\0132B.google."
+          + "cloud.aiplatform.v1.MigratableResource.D"
+          + "ataLabelingDatasetB\003\340A\003H\000\022:\n\021last_migrat"
+          + "e_time\030\005 \001(\0132\032.google.protobuf.Timestamp"
+          + "B\003\340A\003\0229\n\020last_update_time\030\006 \001(\0132\032.google"
+          + ".protobuf.TimestampB\003\340A\003\032Y\n\024MlEngineMode"
+          + "lVersion\022\020\n\010endpoint\030\001 \001(\t\022/\n\007version\030\002 "
+          + "\001(\tB\036\372A\033\n\031ml.googleapis.com/Version\032Z\n\013A"
+          + "utomlModel\022/\n\005model\030\001 \001(\tB \372A\035\n\033automl.g"
+          + "oogleapis.com/Model\022\032\n\022model_display_nam"
+          + "e\030\003 \001(\t\032b\n\rAutomlDataset\0223\n\007dataset\030\001 \001("
+          + "\tB\"\372A\037\n\035automl.googleapis.com/Dataset\022\034\n"
+          + "\024dataset_display_name\030\004 \001(\t\032\221\003\n\023DataLabe"
+          + "lingDataset\0229\n\007dataset\030\001 \001(\tB(\372A%\n#datal"
+          + "abeling.googleapis.com/Dataset\022\034\n\024datase"
+          + "t_display_name\030\004 \001(\t\022\211\001\n data_labeling_a"
+          + "nnotated_datasets\030\003 \003(\0132_.google.cloud.a"
+          + "iplatform.v1.MigratableResource.DataLabe"
+          + "lingDataset.DataLabelingAnnotatedDataset"
+          + "\032\224\001\n\034DataLabelingAnnotatedDataset\022L\n\021ann"
+          + "otated_dataset\030\001 \001(\tB1\372A.\n,datalabeling."
+          + "googleapis.com/AnnotatedDataset\022&\n\036annot"
+          + "ated_dataset_display_name\030\003 \001(\tB\n\n\010resou"
+          + "rceB\330\004\n\036com.google.cloud.aiplatform.v1B\027"
+          + "MigratableResourceProtoP\001ZDgoogle.golang"
+          + ".org/genproto/googleapis/cloud/aiplatfor"
+          + "m/v1;aiplatform\352AQ\n\031ml.googleapis.com/Ve"
+          + "rsion\0224projects/{project}/models/{model}"
+          + "/versions/{version}\352AU\n\033automl.googleapi"
+          + "s.com/Model\0226projects/{project}/location"
+          + "s/{location}/models/{model}\352A[\n\035automl.g"
+          + "oogleapis.com/Dataset\022:projects/{project"
+          + "}/locations/{location}/datasets/{dataset"
+          + "}\352AL\n#datalabeling.googleapis.com/Datase"
+          + "t\022%projects/{project}/datasets/{dataset}"
+          + "\352A{\n,datalabeling.googleapis.com/Annotat"
+          + "edDataset\022Kprojects/{project}/datasets/{"
+          + "dataset}/annotatedDatasets/{annotated_da"
+          + "taset}b\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor,
+            new java.lang.String[] {
+              "MlEngineModelVersion",
+              "AutomlModel",
+              "AutomlDataset",
+              "DataLabelingDataset",
+              "LastMigrateTime",
+              "LastUpdateTime",
+              "Resource",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigratableResource_MlEngineModelVersion_descriptor,
+            new java.lang.String[] {
+              "Endpoint", "Version",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlModel_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlModel_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlModel_descriptor,
+            new java.lang.String[] {
+              "Model", "ModelDisplayName",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor
+            .getNestedTypes()
+            .get(2);
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigratableResource_AutomlDataset_descriptor,
+            new java.lang.String[] {
+              "Dataset", "DatasetDisplayName",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigratableResource_descriptor
+            .getNestedTypes()
+            .get(3);
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_descriptor,
+            new java.lang.String[] {
+              "Dataset", "DatasetDisplayName", "DataLabelingAnnotatedDatasets",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset_descriptor,
+            new java.lang.String[] {
+              "AnnotatedDataset", "AnnotatedDatasetDisplayName",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resourceDefinition);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequest.java
new file mode 100644
index 000000000..547cc7564
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequest.java
@@ -0,0 +1,7698 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Config of migrating one resource from automl.googleapis.com,
+ * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.MigrateResourceRequest}
+ */
+public final class MigrateResourceRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigrateResourceRequest)
+    MigrateResourceRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use MigrateResourceRequest.newBuilder() to construct.
+  private MigrateResourceRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private MigrateResourceRequest() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new MigrateResourceRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private MigrateResourceRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateMlEngineModelVersionConfig.Builder
+                  subBuilder = null;
+              if (requestCase_ == 1) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                                .MigrateMlEngineModelVersionConfig)
+                            request_)
+                        .toBuilder();
+              }
+              request_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                          .MigrateMlEngineModelVersionConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                            .MigrateMlEngineModelVersionConfig)
+                        request_);
+                request_ = subBuilder.buildPartial();
+              }
+              requestCase_ = 1;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.Builder
+                  subBuilder = null;
+              if (requestCase_ == 2) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                                .MigrateAutomlModelConfig)
+                            request_)
+                        .toBuilder();
+              }
+              request_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+                          .parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+                        request_);
+                request_ = subBuilder.buildPartial();
+              }
+              requestCase_ = 2;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                      .Builder
+                  subBuilder = null;
+              if (requestCase_ == 3) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                                .MigrateAutomlDatasetConfig)
+                            request_)
+                        .toBuilder();
+              }
+              request_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                          .MigrateAutomlDatasetConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                            .MigrateAutomlDatasetConfig)
+                        request_);
+                request_ = subBuilder.buildPartial();
+              }
+              requestCase_ = 3;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                      .Builder
+                  subBuilder = null;
+              if (requestCase_ == 4) {
+                subBuilder =
+                    ((com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                                .MigrateDataLabelingDatasetConfig)
+                            request_)
+                        .toBuilder();
+              }
+              request_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                          .MigrateDataLabelingDatasetConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(
+                    (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                            .MigrateDataLabelingDatasetConfig)
+                        request_);
+                request_ = subBuilder.buildPartial();
+              }
+              requestCase_ = 4;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.class,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder.class);
+  }
+
+  public interface MigrateMlEngineModelVersionConfigOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ml.googleapis.com endpoint that this model version should be migrated
+     * from.
+     * Example values:
+     * * ml.googleapis.com
+     * * us-centrall-ml.googleapis.com
+     * * europe-west4-ml.googleapis.com
+     * * asia-east1-ml.googleapis.com
+     * </pre>
+     *
+     * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The endpoint.
+     */
+    java.lang.String getEndpoint();
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ml.googleapis.com endpoint that this model version should be migrated
+     * from.
+     * Example values:
+     * * ml.googleapis.com
+     * * us-centrall-ml.googleapis.com
+     * * europe-west4-ml.googleapis.com
+     * * asia-east1-ml.googleapis.com
+     * </pre>
+     *
+     * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for endpoint.
+     */
+    com.google.protobuf.ByteString getEndpointBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of ml engine model version.
+     * Format: `projects/{project}/models/{model}/versions/{version}`.
+     * </pre>
+     *
+     * <code>
+     * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The modelVersion.
+     */
+    java.lang.String getModelVersion();
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of ml engine model version.
+     * Format: `projects/{project}/models/{model}/versions/{version}`.
+     * </pre>
+     *
+     * <code>
+     * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for modelVersion.
+     */
+    com.google.protobuf.ByteString getModelVersionBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. Display name of the model in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The modelDisplayName.
+     */
+    java.lang.String getModelDisplayName();
+    /**
+     *
+     *
+     * <pre>
+     * Required. Display name of the model in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for modelDisplayName.
+     */
+    com.google.protobuf.ByteString getModelDisplayNameBytes();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating version in ml.googleapis.com to AI Platform's Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig}
+   */
+  public static final class MigrateMlEngineModelVersionConfig
+      extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig)
+      MigrateMlEngineModelVersionConfigOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use MigrateMlEngineModelVersionConfig.newBuilder() to construct.
+    private MigrateMlEngineModelVersionConfig(
+        com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private MigrateMlEngineModelVersionConfig() {
+      endpoint_ = "";
+      modelVersion_ = "";
+      modelDisplayName_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new MigrateMlEngineModelVersionConfig();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private MigrateMlEngineModelVersionConfig(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                endpoint_ = s;
+                break;
+              }
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                modelVersion_ = s;
+                break;
+              }
+            case 26:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                modelDisplayName_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateMlEngineModelVersionConfig.class,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateMlEngineModelVersionConfig.Builder.class);
+    }
+
+    public static final int ENDPOINT_FIELD_NUMBER = 1;
+    private volatile java.lang.Object endpoint_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ml.googleapis.com endpoint that this model version should be migrated
+     * from.
+     * Example values:
+     * * ml.googleapis.com
+     * * us-centrall-ml.googleapis.com
+     * * europe-west4-ml.googleapis.com
+     * * asia-east1-ml.googleapis.com
+     * </pre>
+     *
+     * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The endpoint.
+     */
+    @java.lang.Override
+    public java.lang.String getEndpoint() {
+      java.lang.Object ref = endpoint_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        endpoint_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ml.googleapis.com endpoint that this model version should be migrated
+     * from.
+     * Example values:
+     * * ml.googleapis.com
+     * * us-centrall-ml.googleapis.com
+     * * europe-west4-ml.googleapis.com
+     * * asia-east1-ml.googleapis.com
+     * </pre>
+     *
+     * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for endpoint.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getEndpointBytes() {
+      java.lang.Object ref = endpoint_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        endpoint_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int MODEL_VERSION_FIELD_NUMBER = 2;
+    private volatile java.lang.Object modelVersion_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of ml engine model version.
+     * Format: `projects/{project}/models/{model}/versions/{version}`.
+     * </pre>
+     *
+     * <code>
+     * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The modelVersion.
+     */
+    @java.lang.Override
+    public java.lang.String getModelVersion() {
+      java.lang.Object ref = modelVersion_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        modelVersion_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of ml engine model version.
+     * Format: `projects/{project}/models/{model}/versions/{version}`.
+     * </pre>
+     *
+     * <code>
+     * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for modelVersion.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getModelVersionBytes() {
+      java.lang.Object ref = modelVersion_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        modelVersion_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int MODEL_DISPLAY_NAME_FIELD_NUMBER = 3;
+    private volatile java.lang.Object modelDisplayName_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Display name of the model in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The modelDisplayName.
+     */
+    @java.lang.Override
+    public java.lang.String getModelDisplayName() {
+      java.lang.Object ref = modelDisplayName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        modelDisplayName_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Display name of the model in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for modelDisplayName.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getModelDisplayNameBytes() {
+      java.lang.Object ref = modelDisplayName_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        modelDisplayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getEndpointBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, endpoint_);
+      }
+      if (!getModelVersionBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, modelVersion_);
+      }
+      if (!getModelDisplayNameBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 3, modelDisplayName_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getEndpointBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, endpoint_);
+      }
+      if (!getModelVersionBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, modelVersion_);
+      }
+      if (!getModelDisplayNameBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, modelDisplayName_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateMlEngineModelVersionConfig)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+          other =
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateMlEngineModelVersionConfig)
+                  obj;
+
+      if (!getEndpoint().equals(other.getEndpoint())) return false;
+      if (!getModelVersion().equals(other.getModelVersion())) return false;
+      if (!getModelDisplayName().equals(other.getModelDisplayName())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
+      hash = (53 * hash) + getEndpoint().hashCode();
+      hash = (37 * hash) + MODEL_VERSION_FIELD_NUMBER;
+      hash = (53 * hash) + getModelVersion().hashCode();
+      hash = (37 * hash) + MODEL_DISPLAY_NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getModelDisplayName().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig)
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfigOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateMlEngineModelVersionConfig.class,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateMlEngineModelVersionConfig.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        endpoint_ = "";
+
+        modelVersion_ = "";
+
+        modelDisplayName_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+          build() {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+            result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+            result =
+                new com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateMlEngineModelVersionConfig(this);
+        result.endpoint_ = endpoint_;
+        result.modelVersion_ = modelVersion_;
+        result.modelDisplayName_ = modelDisplayName_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateMlEngineModelVersionConfig) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateMlEngineModelVersionConfig)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+              other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateMlEngineModelVersionConfig.getDefaultInstance()) return this;
+        if (!other.getEndpoint().isEmpty()) {
+          endpoint_ = other.endpoint_;
+          onChanged();
+        }
+        if (!other.getModelVersion().isEmpty()) {
+          modelVersion_ = other.modelVersion_;
+          onChanged();
+        }
+        if (!other.getModelDisplayName().isEmpty()) {
+          modelDisplayName_ = other.modelDisplayName_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateMlEngineModelVersionConfig)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object endpoint_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ml.googleapis.com endpoint that this model version should be migrated
+       * from.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The endpoint.
+       */
+      public java.lang.String getEndpoint() {
+        java.lang.Object ref = endpoint_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          endpoint_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ml.googleapis.com endpoint that this model version should be migrated
+       * from.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The bytes for endpoint.
+       */
+      public com.google.protobuf.ByteString getEndpointBytes() {
+        java.lang.Object ref = endpoint_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          endpoint_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ml.googleapis.com endpoint that this model version should be migrated
+       * from.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The endpoint to set.
+       * @return This builder for chaining.
+       */
+      public Builder setEndpoint(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        endpoint_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ml.googleapis.com endpoint that this model version should be migrated
+       * from.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearEndpoint() {
+
+        endpoint_ = getDefaultInstance().getEndpoint();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ml.googleapis.com endpoint that this model version should be migrated
+       * from.
+       * Example values:
+       * * ml.googleapis.com
+       * * us-centrall-ml.googleapis.com
+       * * europe-west4-ml.googleapis.com
+       * * asia-east1-ml.googleapis.com
+       * </pre>
+       *
+       * <code>string endpoint = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The bytes for endpoint to set.
+       * @return This builder for chaining.
+       */
+      public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        endpoint_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object modelVersion_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of ml engine model version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>
+       * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The modelVersion.
+       */
+      public java.lang.String getModelVersion() {
+        java.lang.Object ref = modelVersion_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          modelVersion_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of ml engine model version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>
+       * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The bytes for modelVersion.
+       */
+      public com.google.protobuf.ByteString getModelVersionBytes() {
+        java.lang.Object ref = modelVersion_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          modelVersion_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of ml engine model version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>
+       * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @param value The modelVersion to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelVersion(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        modelVersion_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of ml engine model version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>
+       * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModelVersion() {
+
+        modelVersion_ = getDefaultInstance().getModelVersion();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of ml engine model version.
+       * Format: `projects/{project}/models/{model}/versions/{version}`.
+       * </pre>
+       *
+       * <code>
+       * string model_version = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @param value The bytes for modelVersion to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelVersionBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        modelVersion_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object modelDisplayName_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The modelDisplayName.
+       */
+      public java.lang.String getModelDisplayName() {
+        java.lang.Object ref = modelDisplayName_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          modelDisplayName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The bytes for modelDisplayName.
+       */
+      public com.google.protobuf.ByteString getModelDisplayNameBytes() {
+        java.lang.Object ref = modelDisplayName_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          modelDisplayName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The modelDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelDisplayName(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        modelDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModelDisplayName() {
+
+        modelDisplayName_ = getDefaultInstance().getModelDisplayName();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The bytes for modelDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelDisplayNameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        modelDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig)
+    private static final com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateMlEngineModelVersionConfig();
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<MigrateMlEngineModelVersionConfig> PARSER =
+        new com.google.protobuf.AbstractParser<MigrateMlEngineModelVersionConfig>() {
+          @java.lang.Override
+          public MigrateMlEngineModelVersionConfig parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new MigrateMlEngineModelVersionConfig(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<MigrateMlEngineModelVersionConfig> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<MigrateMlEngineModelVersionConfig> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface MigrateAutomlModelConfigOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of automl Model.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}`.
+     * </pre>
+     *
+     * <code>
+     * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The model.
+     */
+    java.lang.String getModel();
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of automl Model.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}`.
+     * </pre>
+     *
+     * <code>
+     * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for model.
+     */
+    com.google.protobuf.ByteString getModelBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Display name of the model in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The modelDisplayName.
+     */
+    java.lang.String getModelDisplayName();
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Display name of the model in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for modelDisplayName.
+     */
+    com.google.protobuf.ByteString getModelDisplayNameBytes();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Model in automl.googleapis.com to AI Platform's Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig}
+   */
+  public static final class MigrateAutomlModelConfig extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+      MigrateAutomlModelConfigOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use MigrateAutomlModelConfig.newBuilder() to construct.
+    private MigrateAutomlModelConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private MigrateAutomlModelConfig() {
+      model_ = "";
+      modelDisplayName_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new MigrateAutomlModelConfig();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private MigrateAutomlModelConfig(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                model_ = s;
+                break;
+              }
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                modelDisplayName_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.class,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.Builder
+                  .class);
+    }
+
+    public static final int MODEL_FIELD_NUMBER = 1;
+    private volatile java.lang.Object model_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of automl Model.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}`.
+     * </pre>
+     *
+     * <code>
+     * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The model.
+     */
+    @java.lang.Override
+    public java.lang.String getModel() {
+      java.lang.Object ref = model_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        model_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of automl Model.
+     * Format:
+     * `projects/{project}/locations/{location}/models/{model}`.
+     * </pre>
+     *
+     * <code>
+     * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for model.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getModelBytes() {
+      java.lang.Object ref = model_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        model_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int MODEL_DISPLAY_NAME_FIELD_NUMBER = 2;
+    private volatile java.lang.Object modelDisplayName_;
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Display name of the model in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The modelDisplayName.
+     */
+    @java.lang.Override
+    public java.lang.String getModelDisplayName() {
+      java.lang.Object ref = modelDisplayName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        modelDisplayName_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Display name of the model in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for modelDisplayName.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getModelDisplayNameBytes() {
+      java.lang.Object ref = modelDisplayName_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        modelDisplayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getModelBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, model_);
+      }
+      if (!getModelDisplayNameBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, modelDisplayName_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getModelBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, model_);
+      }
+      if (!getModelDisplayNameBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, modelDisplayName_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig other =
+          (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig) obj;
+
+      if (!getModel().equals(other.getModel())) return false;
+      if (!getModelDisplayName().equals(other.getModelDisplayName())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + MODEL_FIELD_NUMBER;
+      hash = (53 * hash) + getModel().hashCode();
+      hash = (37 * hash) + MODEL_DISPLAY_NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getModelDisplayName().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfigOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+                    .class,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        model_ = "";
+
+        modelDisplayName_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+          build() {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig result =
+            new com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig(
+                this);
+        result.model_ = model_;
+        result.modelDisplayName_ = modelDisplayName_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+                .getDefaultInstance()) return this;
+        if (!other.getModel().isEmpty()) {
+          model_ = other.model_;
+          onChanged();
+        }
+        if (!other.getModelDisplayName().isEmpty()) {
+          modelDisplayName_ = other.modelDisplayName_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object model_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>
+       * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The model.
+       */
+      public java.lang.String getModel() {
+        java.lang.Object ref = model_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          model_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>
+       * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The bytes for model.
+       */
+      public com.google.protobuf.ByteString getModelBytes() {
+        java.lang.Object ref = model_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          model_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>
+       * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @param value The model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModel(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        model_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>
+       * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModel() {
+
+        model_ = getDefaultInstance().getModel();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Model.
+       * Format:
+       * `projects/{project}/locations/{location}/models/{model}`.
+       * </pre>
+       *
+       * <code>
+       * string model = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @param value The bytes for model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        model_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object modelDisplayName_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @return The modelDisplayName.
+       */
+      public java.lang.String getModelDisplayName() {
+        java.lang.Object ref = modelDisplayName_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          modelDisplayName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @return The bytes for modelDisplayName.
+       */
+      public com.google.protobuf.ByteString getModelDisplayNameBytes() {
+        java.lang.Object ref = modelDisplayName_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          modelDisplayName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @param value The modelDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelDisplayName(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        modelDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModelDisplayName() {
+
+        modelDisplayName_ = getDefaultInstance().getModelDisplayName();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the model in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @param value The bytes for modelDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelDisplayNameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        modelDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+    private static final com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateAutomlModelConfig
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig();
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<MigrateAutomlModelConfig> PARSER =
+        new com.google.protobuf.AbstractParser<MigrateAutomlModelConfig>() {
+          @java.lang.Override
+          public MigrateAutomlModelConfig parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new MigrateAutomlModelConfig(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<MigrateAutomlModelConfig> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<MigrateAutomlModelConfig> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface MigrateAutomlDatasetConfigOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of automl Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>
+     * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The dataset.
+     */
+    java.lang.String getDataset();
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of automl Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>
+     * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for dataset.
+     */
+    com.google.protobuf.ByteString getDatasetBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. Display name of the Dataset in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The datasetDisplayName.
+     */
+    java.lang.String getDatasetDisplayName();
+    /**
+     *
+     *
+     * <pre>
+     * Required. Display name of the Dataset in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for datasetDisplayName.
+     */
+    com.google.protobuf.ByteString getDatasetDisplayNameBytes();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+   * Dataset.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig}
+   */
+  public static final class MigrateAutomlDatasetConfig
+      extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+      MigrateAutomlDatasetConfigOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use MigrateAutomlDatasetConfig.newBuilder() to construct.
+    private MigrateAutomlDatasetConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private MigrateAutomlDatasetConfig() {
+      dataset_ = "";
+      datasetDisplayName_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new MigrateAutomlDatasetConfig();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private MigrateAutomlDatasetConfig(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                dataset_ = s;
+                break;
+              }
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                datasetDisplayName_ = s;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                  .class,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                  .Builder.class);
+    }
+
+    public static final int DATASET_FIELD_NUMBER = 1;
+    private volatile java.lang.Object dataset_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of automl Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>
+     * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The dataset.
+     */
+    @java.lang.Override
+    public java.lang.String getDataset() {
+      java.lang.Object ref = dataset_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        dataset_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of automl Dataset.
+     * Format:
+     * `projects/{project}/locations/{location}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>
+     * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for dataset.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetBytes() {
+      java.lang.Object ref = dataset_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        dataset_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DATASET_DISPLAY_NAME_FIELD_NUMBER = 2;
+    private volatile java.lang.Object datasetDisplayName_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Display name of the Dataset in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The datasetDisplayName.
+     */
+    @java.lang.Override
+    public java.lang.String getDatasetDisplayName() {
+      java.lang.Object ref = datasetDisplayName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        datasetDisplayName_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Display name of the Dataset in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for datasetDisplayName.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
+      java.lang.Object ref = datasetDisplayName_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        datasetDisplayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getDatasetBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, dataset_);
+      }
+      if (!getDatasetDisplayNameBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, datasetDisplayName_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getDatasetBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, dataset_);
+      }
+      if (!getDatasetDisplayNameBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, datasetDisplayName_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig other =
+          (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig) obj;
+
+      if (!getDataset().equals(other.getDataset())) return false;
+      if (!getDatasetDisplayName().equals(other.getDatasetDisplayName())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + DATASET_FIELD_NUMBER;
+      hash = (53 * hash) + getDataset().hashCode();
+      hash = (37 * hash) + DATASET_DISPLAY_NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getDatasetDisplayName().hashCode();
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfigOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                    .class,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        dataset_ = "";
+
+        datasetDisplayName_ = "";
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+          build() {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig result =
+            new com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig(
+                this);
+        result.dataset_ = dataset_;
+        result.datasetDisplayName_ = datasetDisplayName_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                .getDefaultInstance()) return this;
+        if (!other.getDataset().isEmpty()) {
+          dataset_ = other.dataset_;
+          onChanged();
+        }
+        if (!other.getDatasetDisplayName().isEmpty()) {
+          datasetDisplayName_ = other.datasetDisplayName_;
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object dataset_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The dataset.
+       */
+      public java.lang.String getDataset() {
+        java.lang.Object ref = dataset_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          dataset_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The bytes for dataset.
+       */
+      public com.google.protobuf.ByteString getDatasetBytes() {
+        java.lang.Object ref = dataset_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          dataset_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @param value The dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        dataset_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDataset() {
+
+        dataset_ = getDefaultInstance().getDataset();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of automl Dataset.
+       * Format:
+       * `projects/{project}/locations/{location}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @param value The bytes for dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        dataset_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object datasetDisplayName_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The datasetDisplayName.
+       */
+      public java.lang.String getDatasetDisplayName() {
+        java.lang.Object ref = datasetDisplayName_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          datasetDisplayName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The bytes for datasetDisplayName.
+       */
+      public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
+        java.lang.Object ref = datasetDisplayName_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          datasetDisplayName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The datasetDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetDisplayName(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        datasetDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDatasetDisplayName() {
+
+        datasetDisplayName_ = getDefaultInstance().getDatasetDisplayName();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The bytes for datasetDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetDisplayNameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        datasetDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+    private static final com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateAutomlDatasetConfig
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig();
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<MigrateAutomlDatasetConfig> PARSER =
+        new com.google.protobuf.AbstractParser<MigrateAutomlDatasetConfig>() {
+          @java.lang.Override
+          public MigrateAutomlDatasetConfig parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new MigrateAutomlDatasetConfig(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<MigrateAutomlDatasetConfig> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<MigrateAutomlDatasetConfig> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface MigrateDataLabelingDatasetConfigOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of data labeling Dataset.
+     * Format:
+     * `projects/{project}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>
+     * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The dataset.
+     */
+    java.lang.String getDataset();
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of data labeling Dataset.
+     * Format:
+     * `projects/{project}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>
+     * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for dataset.
+     */
+    com.google.protobuf.ByteString getDatasetBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Display name of the Dataset in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The datasetDisplayName.
+     */
+    java.lang.String getDatasetDisplayName();
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Display name of the Dataset in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for datasetDisplayName.
+     */
+    com.google.protobuf.ByteString getDatasetDisplayNameBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    java.util.List<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                .MigrateDataLabelingAnnotatedDatasetConfig>
+        getMigrateDataLabelingAnnotatedDatasetConfigsList();
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            .MigrateDataLabelingAnnotatedDatasetConfig
+        getMigrateDataLabelingAnnotatedDatasetConfigs(int index);
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    int getMigrateDataLabelingAnnotatedDatasetConfigsCount();
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig
+                    .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder>
+        getMigrateDataLabelingAnnotatedDatasetConfigsOrBuilderList();
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder
+        getMigrateDataLabelingAnnotatedDatasetConfigsOrBuilder(int index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in datalabeling.googleapis.com to AI
+   * Platform's Dataset.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig}
+   */
+  public static final class MigrateDataLabelingDatasetConfig
+      extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig)
+      MigrateDataLabelingDatasetConfigOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use MigrateDataLabelingDatasetConfig.newBuilder() to construct.
+    private MigrateDataLabelingDatasetConfig(
+        com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private MigrateDataLabelingDatasetConfig() {
+      dataset_ = "";
+      datasetDisplayName_ = "";
+      migrateDataLabelingAnnotatedDatasetConfigs_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new MigrateDataLabelingDatasetConfig();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private MigrateDataLabelingDatasetConfig(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                dataset_ = s;
+                break;
+              }
+            case 18:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                datasetDisplayName_ = s;
+                break;
+              }
+            case 26:
+              {
+                if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                  migrateDataLabelingAnnotatedDatasetConfigs_ =
+                      new java.util.ArrayList<
+                          com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                              .MigrateDataLabelingDatasetConfig
+                              .MigrateDataLabelingAnnotatedDatasetConfig>();
+                  mutable_bitField0_ |= 0x00000001;
+                }
+                migrateDataLabelingAnnotatedDatasetConfigs_.add(
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                            .MigrateDataLabelingDatasetConfig
+                            .MigrateDataLabelingAnnotatedDatasetConfig.parser(),
+                        extensionRegistry));
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          migrateDataLabelingAnnotatedDatasetConfigs_ =
+              java.util.Collections.unmodifiableList(migrateDataLabelingAnnotatedDatasetConfigs_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .class,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .Builder.class);
+    }
+
+    public interface MigrateDataLabelingAnnotatedDatasetConfigOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling AnnotatedDataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The annotatedDataset.
+       */
+      java.lang.String getAnnotatedDataset();
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling AnnotatedDataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The bytes for annotatedDataset.
+       */
+      com.google.protobuf.ByteString getAnnotatedDatasetBytes();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig}
+     */
+    public static final class MigrateDataLabelingAnnotatedDatasetConfig
+        extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig)
+        MigrateDataLabelingAnnotatedDatasetConfigOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use MigrateDataLabelingAnnotatedDatasetConfig.newBuilder() to construct.
+      private MigrateDataLabelingAnnotatedDatasetConfig(
+          com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private MigrateDataLabelingAnnotatedDatasetConfig() {
+        annotatedDataset_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new MigrateDataLabelingAnnotatedDatasetConfig();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private MigrateDataLabelingAnnotatedDatasetConfig(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  annotatedDataset_ = s;
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+                    .class,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+                    .Builder.class);
+      }
+
+      public static final int ANNOTATED_DATASET_FIELD_NUMBER = 1;
+      private volatile java.lang.Object annotatedDataset_;
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling AnnotatedDataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The annotatedDataset.
+       */
+      @java.lang.Override
+      public java.lang.String getAnnotatedDataset() {
+        java.lang.Object ref = annotatedDataset_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          annotatedDataset_ = s;
+          return s;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling AnnotatedDataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The bytes for annotatedDataset.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getAnnotatedDatasetBytes() {
+        java.lang.Object ref = annotatedDataset_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          annotatedDataset_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getAnnotatedDatasetBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, annotatedDataset_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getAnnotatedDatasetBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, annotatedDataset_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                .MigrateDataLabelingAnnotatedDatasetConfig)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                .MigrateDataLabelingAnnotatedDatasetConfig
+            other =
+                (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                        .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig)
+                    obj;
+
+        if (!getAnnotatedDataset().equals(other.getAnnotatedDataset())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + ANNOTATED_DATASET_FIELD_NUMBER;
+        hash = (53 * hash) + getAnnotatedDataset().hashCode();
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig)
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+              .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.MigrationServiceProto
+              .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.MigrationServiceProto
+              .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+                      .class,
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+                      .Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          annotatedDataset_ = "";
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.MigrationServiceProto
+              .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+              .getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+            build() {
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig
+              result =
+                  new com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig(
+                      this);
+          result.annotatedDataset_ = annotatedDataset_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                        .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                    .MigrateDataLabelingAnnotatedDatasetConfig
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+                  .getDefaultInstance()) return this;
+          if (!other.getAnnotatedDataset().isEmpty()) {
+            annotatedDataset_ = other.annotatedDataset_;
+            onChanged();
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                        .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object annotatedDataset_ = "";
+        /**
+         *
+         *
+         * <pre>
+         * Required. Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>
+         * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+         * </code>
+         *
+         * @return The annotatedDataset.
+         */
+        public java.lang.String getAnnotatedDataset() {
+          java.lang.Object ref = annotatedDataset_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            annotatedDataset_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>
+         * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+         * </code>
+         *
+         * @return The bytes for annotatedDataset.
+         */
+        public com.google.protobuf.ByteString getAnnotatedDatasetBytes() {
+          java.lang.Object ref = annotatedDataset_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            annotatedDataset_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>
+         * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+         * </code>
+         *
+         * @param value The annotatedDataset to set.
+         * @return This builder for chaining.
+         */
+        public Builder setAnnotatedDataset(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          annotatedDataset_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>
+         * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+         * </code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearAnnotatedDataset() {
+
+          annotatedDataset_ = getDefaultInstance().getAnnotatedDataset();
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Full resource name of data labeling AnnotatedDataset.
+         * Format:
+         * `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+         * </pre>
+         *
+         * <code>
+         * string annotated_dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+         * </code>
+         *
+         * @param value The bytes for annotatedDataset to set.
+         * @return This builder for chaining.
+         */
+        public Builder setAnnotatedDatasetBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          annotatedDataset_ = value;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig)
+      private static final com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig();
+      }
+
+      public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<MigrateDataLabelingAnnotatedDatasetConfig>
+          PARSER =
+              new com.google.protobuf.AbstractParser<MigrateDataLabelingAnnotatedDatasetConfig>() {
+                @java.lang.Override
+                public MigrateDataLabelingAnnotatedDatasetConfig parsePartialFrom(
+                    com.google.protobuf.CodedInputStream input,
+                    com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                    throws com.google.protobuf.InvalidProtocolBufferException {
+                  return new MigrateDataLabelingAnnotatedDatasetConfig(input, extensionRegistry);
+                }
+              };
+
+      public static com.google.protobuf.Parser<MigrateDataLabelingAnnotatedDatasetConfig> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<MigrateDataLabelingAnnotatedDatasetConfig>
+          getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+              .MigrateDataLabelingAnnotatedDatasetConfig
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public static final int DATASET_FIELD_NUMBER = 1;
+    private volatile java.lang.Object dataset_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of data labeling Dataset.
+     * Format:
+     * `projects/{project}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>
+     * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The dataset.
+     */
+    @java.lang.Override
+    public java.lang.String getDataset() {
+      java.lang.Object ref = dataset_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        dataset_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Full resource name of data labeling Dataset.
+     * Format:
+     * `projects/{project}/datasets/{dataset}`.
+     * </pre>
+     *
+     * <code>
+     * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for dataset.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetBytes() {
+      java.lang.Object ref = dataset_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        dataset_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DATASET_DISPLAY_NAME_FIELD_NUMBER = 2;
+    private volatile java.lang.Object datasetDisplayName_;
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Display name of the Dataset in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The datasetDisplayName.
+     */
+    @java.lang.Override
+    public java.lang.String getDatasetDisplayName() {
+      java.lang.Object ref = datasetDisplayName_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        datasetDisplayName_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Display name of the Dataset in AI Platform.
+     * System will pick a display name if unspecified.
+     * </pre>
+     *
+     * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The bytes for datasetDisplayName.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
+      java.lang.Object ref = datasetDisplayName_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        datasetDisplayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int MIGRATE_DATA_LABELING_ANNOTATED_DATASET_CONFIGS_FIELD_NUMBER = 3;
+    private java.util.List<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                .MigrateDataLabelingAnnotatedDatasetConfig>
+        migrateDataLabelingAnnotatedDatasetConfigs_;
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    @java.lang.Override
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                .MigrateDataLabelingAnnotatedDatasetConfig>
+        getMigrateDataLabelingAnnotatedDatasetConfigsList() {
+      return migrateDataLabelingAnnotatedDatasetConfigs_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    @java.lang.Override
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig
+                    .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder>
+        getMigrateDataLabelingAnnotatedDatasetConfigsOrBuilderList() {
+      return migrateDataLabelingAnnotatedDatasetConfigs_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    @java.lang.Override
+    public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
+      return migrateDataLabelingAnnotatedDatasetConfigs_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            .MigrateDataLabelingAnnotatedDatasetConfig
+        getMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
+      return migrateDataLabelingAnnotatedDatasetConfigs_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+     * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+     * to the datalabeling Dataset.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder
+        getMigrateDataLabelingAnnotatedDatasetConfigsOrBuilder(int index) {
+      return migrateDataLabelingAnnotatedDatasetConfigs_.get(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getDatasetBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, dataset_);
+      }
+      if (!getDatasetDisplayNameBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 2, datasetDisplayName_);
+      }
+      for (int i = 0; i < migrateDataLabelingAnnotatedDatasetConfigs_.size(); i++) {
+        output.writeMessage(3, migrateDataLabelingAnnotatedDatasetConfigs_.get(i));
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getDatasetBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, dataset_);
+      }
+      if (!getDatasetDisplayNameBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, datasetDisplayName_);
+      }
+      for (int i = 0; i < migrateDataLabelingAnnotatedDatasetConfigs_.size(); i++) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                3, migrateDataLabelingAnnotatedDatasetConfigs_.get(i));
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig other =
+          (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig)
+              obj;
+
+      if (!getDataset().equals(other.getDataset())) return false;
+      if (!getDatasetDisplayName().equals(other.getDatasetDisplayName())) return false;
+      if (!getMigrateDataLabelingAnnotatedDatasetConfigsList()
+          .equals(other.getMigrateDataLabelingAnnotatedDatasetConfigsList())) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + DATASET_FIELD_NUMBER;
+      hash = (53 * hash) + getDataset().hashCode();
+      hash = (37 * hash) + DATASET_DISPLAY_NAME_FIELD_NUMBER;
+      hash = (53 * hash) + getDatasetDisplayName().hashCode();
+      if (getMigrateDataLabelingAnnotatedDatasetConfigsCount() > 0) {
+        hash = (37 * hash) + MIGRATE_DATA_LABELING_ANNOTATED_DATASET_CONFIGS_FIELD_NUMBER;
+        hash = (53 * hash) + getMigrateDataLabelingAnnotatedDatasetConfigsList().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to AI
+     * Platform's Dataset.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig)
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfigOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig.class,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+          getMigrateDataLabelingAnnotatedDatasetConfigsFieldBuilder();
+        }
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        dataset_ = "";
+
+        datasetDisplayName_ = "";
+
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          migrateDataLabelingAnnotatedDatasetConfigs_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.clear();
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+          build() {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            result =
+                new com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig(this);
+        int from_bitField0_ = bitField0_;
+        result.dataset_ = dataset_;
+        result.datasetDisplayName_ = datasetDisplayName_;
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            migrateDataLabelingAnnotatedDatasetConfigs_ =
+                java.util.Collections.unmodifiableList(migrateDataLabelingAnnotatedDatasetConfigs_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.migrateDataLabelingAnnotatedDatasetConfigs_ =
+              migrateDataLabelingAnnotatedDatasetConfigs_;
+        } else {
+          result.migrateDataLabelingAnnotatedDatasetConfigs_ =
+              migrateDataLabelingAnnotatedDatasetConfigsBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateDataLabelingDatasetConfig) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+              other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateDataLabelingDatasetConfig.getDefaultInstance()) return this;
+        if (!other.getDataset().isEmpty()) {
+          dataset_ = other.dataset_;
+          onChanged();
+        }
+        if (!other.getDatasetDisplayName().isEmpty()) {
+          datasetDisplayName_ = other.datasetDisplayName_;
+          onChanged();
+        }
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          if (!other.migrateDataLabelingAnnotatedDatasetConfigs_.isEmpty()) {
+            if (migrateDataLabelingAnnotatedDatasetConfigs_.isEmpty()) {
+              migrateDataLabelingAnnotatedDatasetConfigs_ =
+                  other.migrateDataLabelingAnnotatedDatasetConfigs_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+              migrateDataLabelingAnnotatedDatasetConfigs_.addAll(
+                  other.migrateDataLabelingAnnotatedDatasetConfigs_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.migrateDataLabelingAnnotatedDatasetConfigs_.isEmpty()) {
+            if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_.isEmpty()) {
+              migrateDataLabelingAnnotatedDatasetConfigsBuilder_.dispose();
+              migrateDataLabelingAnnotatedDatasetConfigsBuilder_ = null;
+              migrateDataLabelingAnnotatedDatasetConfigs_ =
+                  other.migrateDataLabelingAnnotatedDatasetConfigs_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              migrateDataLabelingAnnotatedDatasetConfigsBuilder_ =
+                  com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                      ? getMigrateDataLabelingAnnotatedDatasetConfigsFieldBuilder()
+                      : null;
+            } else {
+              migrateDataLabelingAnnotatedDatasetConfigsBuilder_.addAllMessages(
+                  other.migrateDataLabelingAnnotatedDatasetConfigs_);
+            }
+          }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int bitField0_;
+
+      private java.lang.Object dataset_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The dataset.
+       */
+      public java.lang.String getDataset() {
+        java.lang.Object ref = dataset_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          dataset_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return The bytes for dataset.
+       */
+      public com.google.protobuf.ByteString getDatasetBytes() {
+        java.lang.Object ref = dataset_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          dataset_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @param value The dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        dataset_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDataset() {
+
+        dataset_ = getDefaultInstance().getDataset();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. Full resource name of data labeling Dataset.
+       * Format:
+       * `projects/{project}/datasets/{dataset}`.
+       * </pre>
+       *
+       * <code>
+       * string dataset = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+       * </code>
+       *
+       * @param value The bytes for dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        dataset_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object datasetDisplayName_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @return The datasetDisplayName.
+       */
+      public java.lang.String getDatasetDisplayName() {
+        java.lang.Object ref = datasetDisplayName_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          datasetDisplayName_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @return The bytes for datasetDisplayName.
+       */
+      public com.google.protobuf.ByteString getDatasetDisplayNameBytes() {
+        java.lang.Object ref = datasetDisplayName_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          datasetDisplayName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @param value The datasetDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetDisplayName(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        datasetDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDatasetDisplayName() {
+
+        datasetDisplayName_ = getDefaultInstance().getDatasetDisplayName();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Display name of the Dataset in AI Platform.
+       * System will pick a display name if unspecified.
+       * </pre>
+       *
+       * <code>string dataset_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+       *
+       * @param value The bytes for datasetDisplayName to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetDisplayNameBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        datasetDisplayName_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.util.List<
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig>
+          migrateDataLabelingAnnotatedDatasetConfigs_ = java.util.Collections.emptyList();
+
+      private void ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          migrateDataLabelingAnnotatedDatasetConfigs_ =
+              new java.util.ArrayList<
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig>(
+                  migrateDataLabelingAnnotatedDatasetConfigs_);
+          bitField0_ |= 0x00000001;
+        }
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig.Builder,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder>
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_;
+
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig>
+          getMigrateDataLabelingAnnotatedDatasetConfigsList() {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(
+              migrateDataLabelingAnnotatedDatasetConfigs_);
+        } else {
+          return migrateDataLabelingAnnotatedDatasetConfigsBuilder_.getMessageList();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public int getMigrateDataLabelingAnnotatedDatasetConfigsCount() {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          return migrateDataLabelingAnnotatedDatasetConfigs_.size();
+        } else {
+          return migrateDataLabelingAnnotatedDatasetConfigsBuilder_.getCount();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+              .MigrateDataLabelingAnnotatedDatasetConfig
+          getMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          return migrateDataLabelingAnnotatedDatasetConfigs_.get(index);
+        } else {
+          return migrateDataLabelingAnnotatedDatasetConfigsBuilder_.getMessage(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder setMigrateDataLabelingAnnotatedDatasetConfigs(
+          int index,
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig
+              value) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+          migrateDataLabelingAnnotatedDatasetConfigs_.set(index, value);
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder setMigrateDataLabelingAnnotatedDatasetConfigs(
+          int index,
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig.Builder
+              builderForValue) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+          migrateDataLabelingAnnotatedDatasetConfigs_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.setMessage(
+              index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig
+              value) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+          migrateDataLabelingAnnotatedDatasetConfigs_.add(value);
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
+          int index,
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig
+              value) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+          migrateDataLabelingAnnotatedDatasetConfigs_.add(index, value);
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig.Builder
+              builderForValue) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+          migrateDataLabelingAnnotatedDatasetConfigs_.add(builderForValue.build());
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder addMigrateDataLabelingAnnotatedDatasetConfigs(
+          int index,
+          com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig.Builder
+              builderForValue) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+          migrateDataLabelingAnnotatedDatasetConfigs_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.addMessage(
+              index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder addAllMigrateDataLabelingAnnotatedDatasetConfigs(
+          java.lang.Iterable<
+                  ? extends
+                      com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                          .MigrateDataLabelingDatasetConfig
+                          .MigrateDataLabelingAnnotatedDatasetConfig>
+              values) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(
+              values, migrateDataLabelingAnnotatedDatasetConfigs_);
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder clearMigrateDataLabelingAnnotatedDatasetConfigs() {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          migrateDataLabelingAnnotatedDatasetConfigs_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public Builder removeMigrateDataLabelingAnnotatedDatasetConfigs(int index) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          ensureMigrateDataLabelingAnnotatedDatasetConfigsIsMutable();
+          migrateDataLabelingAnnotatedDatasetConfigs_.remove(index);
+          onChanged();
+        } else {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+              .MigrateDataLabelingAnnotatedDatasetConfig.Builder
+          getMigrateDataLabelingAnnotatedDatasetConfigsBuilder(int index) {
+        return getMigrateDataLabelingAnnotatedDatasetConfigsFieldBuilder().getBuilder(index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+              .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder
+          getMigrateDataLabelingAnnotatedDatasetConfigsOrBuilder(int index) {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          return migrateDataLabelingAnnotatedDatasetConfigs_.get(index);
+        } else {
+          return migrateDataLabelingAnnotatedDatasetConfigsBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public java.util.List<
+              ? extends
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig
+                      .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder>
+          getMigrateDataLabelingAnnotatedDatasetConfigsOrBuilderList() {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ != null) {
+          return migrateDataLabelingAnnotatedDatasetConfigsBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(
+              migrateDataLabelingAnnotatedDatasetConfigs_);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+              .MigrateDataLabelingAnnotatedDatasetConfig.Builder
+          addMigrateDataLabelingAnnotatedDatasetConfigsBuilder() {
+        return getMigrateDataLabelingAnnotatedDatasetConfigsFieldBuilder()
+            .addBuilder(
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+                    .getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+              .MigrateDataLabelingAnnotatedDatasetConfig.Builder
+          addMigrateDataLabelingAnnotatedDatasetConfigsBuilder(int index) {
+        return getMigrateDataLabelingAnnotatedDatasetConfigsFieldBuilder()
+            .addBuilder(
+                index,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+                    .getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+       * AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+       * to the datalabeling Dataset.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(.google.api.field_behavior) = OPTIONAL];
+       * </code>
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig.Builder>
+          getMigrateDataLabelingAnnotatedDatasetConfigsBuilderList() {
+        return getMigrateDataLabelingAnnotatedDatasetConfigsFieldBuilder().getBuilderList();
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfig.Builder,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder>
+          getMigrateDataLabelingAnnotatedDatasetConfigsFieldBuilder() {
+        if (migrateDataLabelingAnnotatedDatasetConfigsBuilder_ == null) {
+          migrateDataLabelingAnnotatedDatasetConfigsBuilder_ =
+              new com.google.protobuf.RepeatedFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig,
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
+                      .Builder,
+                  com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig
+                      .MigrateDataLabelingAnnotatedDatasetConfigOrBuilder>(
+                  migrateDataLabelingAnnotatedDatasetConfigs_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          migrateDataLabelingAnnotatedDatasetConfigs_ = null;
+        }
+        return migrateDataLabelingAnnotatedDatasetConfigsBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig)
+    private static final com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig();
+    }
+
+    public static com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<MigrateDataLabelingDatasetConfig> PARSER =
+        new com.google.protobuf.AbstractParser<MigrateDataLabelingDatasetConfig>() {
+          @java.lang.Override
+          public MigrateDataLabelingDatasetConfig parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new MigrateDataLabelingDatasetConfig(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<MigrateDataLabelingDatasetConfig> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<MigrateDataLabelingDatasetConfig> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  private int requestCase_ = 0;
+  private java.lang.Object request_;
+
+  public enum RequestCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    MIGRATE_ML_ENGINE_MODEL_VERSION_CONFIG(1),
+    MIGRATE_AUTOML_MODEL_CONFIG(2),
+    MIGRATE_AUTOML_DATASET_CONFIG(3),
+    MIGRATE_DATA_LABELING_DATASET_CONFIG(4),
+    REQUEST_NOT_SET(0);
+    private final int value;
+
+    private RequestCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static RequestCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static RequestCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return MIGRATE_ML_ENGINE_MODEL_VERSION_CONFIG;
+        case 2:
+          return MIGRATE_AUTOML_MODEL_CONFIG;
+        case 3:
+          return MIGRATE_AUTOML_DATASET_CONFIG;
+        case 4:
+          return MIGRATE_DATA_LABELING_DATASET_CONFIG;
+        case 0:
+          return REQUEST_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public RequestCase getRequestCase() {
+    return RequestCase.forNumber(requestCase_);
+  }
+
+  public static final int MIGRATE_ML_ENGINE_MODEL_VERSION_CONFIG_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+   * </code>
+   *
+   * @return Whether the migrateMlEngineModelVersionConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasMigrateMlEngineModelVersionConfig() {
+    return requestCase_ == 1;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+   * </code>
+   *
+   * @return The migrateMlEngineModelVersionConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+      getMigrateMlEngineModelVersionConfig() {
+    if (requestCase_ == 1) {
+      return (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateMlEngineModelVersionConfig)
+          request_;
+    }
+    return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest
+          .MigrateMlEngineModelVersionConfigOrBuilder
+      getMigrateMlEngineModelVersionConfigOrBuilder() {
+    if (requestCase_ == 1) {
+      return (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateMlEngineModelVersionConfig)
+          request_;
+    }
+    return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+        .getDefaultInstance();
+  }
+
+  public static final int MIGRATE_AUTOML_MODEL_CONFIG_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Model in automl.googleapis.com to AI Platform's
+   * Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+   * </code>
+   *
+   * @return Whether the migrateAutomlModelConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasMigrateAutomlModelConfig() {
+    return requestCase_ == 2;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Model in automl.googleapis.com to AI Platform's
+   * Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+   * </code>
+   *
+   * @return The migrateAutomlModelConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+      getMigrateAutomlModelConfig() {
+    if (requestCase_ == 2) {
+      return (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+          request_;
+    }
+    return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Model in automl.googleapis.com to AI Platform's
+   * Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfigOrBuilder
+      getMigrateAutomlModelConfigOrBuilder() {
+    if (requestCase_ == 2) {
+      return (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+          request_;
+    }
+    return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        .getDefaultInstance();
+  }
+
+  public static final int MIGRATE_AUTOML_DATASET_CONFIG_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+   * Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+   * </code>
+   *
+   * @return Whether the migrateAutomlDatasetConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasMigrateAutomlDatasetConfig() {
+    return requestCase_ == 3;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+   * Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+   * </code>
+   *
+   * @return The migrateAutomlDatasetConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+      getMigrateAutomlDatasetConfig() {
+    if (requestCase_ == 3) {
+      return (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+          request_;
+    }
+    return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+   * Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfigOrBuilder
+      getMigrateAutomlDatasetConfigOrBuilder() {
+    if (requestCase_ == 3) {
+      return (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+          request_;
+    }
+    return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        .getDefaultInstance();
+  }
+
+  public static final int MIGRATE_DATA_LABELING_DATASET_CONFIG_FIELD_NUMBER = 4;
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in datalabeling.googleapis.com to
+   * AI Platform's Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+   * </code>
+   *
+   * @return Whether the migrateDataLabelingDatasetConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasMigrateDataLabelingDatasetConfig() {
+    return requestCase_ == 4;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in datalabeling.googleapis.com to
+   * AI Platform's Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+   * </code>
+   *
+   * @return The migrateDataLabelingDatasetConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+      getMigrateDataLabelingDatasetConfig() {
+    if (requestCase_ == 4) {
+      return (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig)
+          request_;
+    }
+    return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+        .getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in datalabeling.googleapis.com to
+   * AI Platform's Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest
+          .MigrateDataLabelingDatasetConfigOrBuilder
+      getMigrateDataLabelingDatasetConfigOrBuilder() {
+    if (requestCase_ == 4) {
+      return (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+              .MigrateDataLabelingDatasetConfig)
+          request_;
+    }
+    return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+        .getDefaultInstance();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (requestCase_ == 1) {
+      output.writeMessage(
+          1,
+          (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig)
+              request_);
+    }
+    if (requestCase_ == 2) {
+      output.writeMessage(
+          2,
+          (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+              request_);
+    }
+    if (requestCase_ == 3) {
+      output.writeMessage(
+          3,
+          (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+              request_);
+    }
+    if (requestCase_ == 4) {
+      output.writeMessage(
+          4,
+          (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig)
+              request_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (requestCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              1,
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateMlEngineModelVersionConfig)
+                  request_);
+    }
+    if (requestCase_ == 2) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              2,
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+                  request_);
+    }
+    if (requestCase_ == 3) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              3,
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+                  request_);
+    }
+    if (requestCase_ == 4) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              4,
+              (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                      .MigrateDataLabelingDatasetConfig)
+                  request_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.MigrateResourceRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.MigrateResourceRequest other =
+        (com.google.cloud.aiplatform.v1.MigrateResourceRequest) obj;
+
+    if (!getRequestCase().equals(other.getRequestCase())) return false;
+    switch (requestCase_) {
+      case 1:
+        if (!getMigrateMlEngineModelVersionConfig()
+            .equals(other.getMigrateMlEngineModelVersionConfig())) return false;
+        break;
+      case 2:
+        if (!getMigrateAutomlModelConfig().equals(other.getMigrateAutomlModelConfig()))
+          return false;
+        break;
+      case 3:
+        if (!getMigrateAutomlDatasetConfig().equals(other.getMigrateAutomlDatasetConfig()))
+          return false;
+        break;
+      case 4:
+        if (!getMigrateDataLabelingDatasetConfig()
+            .equals(other.getMigrateDataLabelingDatasetConfig())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    switch (requestCase_) {
+      case 1:
+        hash = (37 * hash) + MIGRATE_ML_ENGINE_MODEL_VERSION_CONFIG_FIELD_NUMBER;
+        hash = (53 * hash) + getMigrateMlEngineModelVersionConfig().hashCode();
+        break;
+      case 2:
+        hash = (37 * hash) + MIGRATE_AUTOML_MODEL_CONFIG_FIELD_NUMBER;
+        hash = (53 * hash) + getMigrateAutomlModelConfig().hashCode();
+        break;
+      case 3:
+        hash = (37 * hash) + MIGRATE_AUTOML_DATASET_CONFIG_FIELD_NUMBER;
+        hash = (53 * hash) + getMigrateAutomlDatasetConfig().hashCode();
+        break;
+      case 4:
+        hash = (37 * hash) + MIGRATE_DATA_LABELING_DATASET_CONFIG_FIELD_NUMBER;
+        hash = (53 * hash) + getMigrateDataLabelingDatasetConfig().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.MigrateResourceRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Config of migrating one resource from automl.googleapis.com,
+   * datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.MigrateResourceRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigrateResourceRequest)
+      com.google.cloud.aiplatform.v1.MigrateResourceRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.class,
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.MigrateResourceRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      requestCase_ = 0;
+      request_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.MigrateResourceRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest build() {
+      com.google.cloud.aiplatform.v1.MigrateResourceRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.MigrateResourceRequest result =
+          new com.google.cloud.aiplatform.v1.MigrateResourceRequest(this);
+      if (requestCase_ == 1) {
+        if (migrateMlEngineModelVersionConfigBuilder_ == null) {
+          result.request_ = request_;
+        } else {
+          result.request_ = migrateMlEngineModelVersionConfigBuilder_.build();
+        }
+      }
+      if (requestCase_ == 2) {
+        if (migrateAutomlModelConfigBuilder_ == null) {
+          result.request_ = request_;
+        } else {
+          result.request_ = migrateAutomlModelConfigBuilder_.build();
+        }
+      }
+      if (requestCase_ == 3) {
+        if (migrateAutomlDatasetConfigBuilder_ == null) {
+          result.request_ = request_;
+        } else {
+          result.request_ = migrateAutomlDatasetConfigBuilder_.build();
+        }
+      }
+      if (requestCase_ == 4) {
+        if (migrateDataLabelingDatasetConfigBuilder_ == null) {
+          result.request_ = request_;
+        } else {
+          result.request_ = migrateDataLabelingDatasetConfigBuilder_.build();
+        }
+      }
+      result.requestCase_ = requestCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.MigrateResourceRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.MigrateResourceRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.MigrateResourceRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.MigrateResourceRequest.getDefaultInstance())
+        return this;
+      switch (other.getRequestCase()) {
+        case MIGRATE_ML_ENGINE_MODEL_VERSION_CONFIG:
+          {
+            mergeMigrateMlEngineModelVersionConfig(other.getMigrateMlEngineModelVersionConfig());
+            break;
+          }
+        case MIGRATE_AUTOML_MODEL_CONFIG:
+          {
+            mergeMigrateAutomlModelConfig(other.getMigrateAutomlModelConfig());
+            break;
+          }
+        case MIGRATE_AUTOML_DATASET_CONFIG:
+          {
+            mergeMigrateAutomlDatasetConfig(other.getMigrateAutomlDatasetConfig());
+            break;
+          }
+        case MIGRATE_DATA_LABELING_DATASET_CONFIG:
+          {
+            mergeMigrateDataLabelingDatasetConfig(other.getMigrateDataLabelingDatasetConfig());
+            break;
+          }
+        case REQUEST_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.MigrateResourceRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.MigrateResourceRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int requestCase_ = 0;
+    private java.lang.Object request_;
+
+    public RequestCase getRequestCase() {
+      return RequestCase.forNumber(requestCase_);
+    }
+
+    public Builder clearRequest() {
+      requestCase_ = 0;
+      request_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+                .Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateMlEngineModelVersionConfigOrBuilder>
+        migrateMlEngineModelVersionConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     *
+     * @return Whether the migrateMlEngineModelVersionConfig field is set.
+     */
+    @java.lang.Override
+    public boolean hasMigrateMlEngineModelVersionConfig() {
+      return requestCase_ == 1;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     *
+     * @return The migrateMlEngineModelVersionConfig.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+        getMigrateMlEngineModelVersionConfig() {
+      if (migrateMlEngineModelVersionConfigBuilder_ == null) {
+        if (requestCase_ == 1) {
+          return (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateMlEngineModelVersionConfig)
+              request_;
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig.getDefaultInstance();
+      } else {
+        if (requestCase_ == 1) {
+          return migrateMlEngineModelVersionConfigBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     */
+    public Builder setMigrateMlEngineModelVersionConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+            value) {
+      if (migrateMlEngineModelVersionConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        request_ = value;
+        onChanged();
+      } else {
+        migrateMlEngineModelVersionConfigBuilder_.setMessage(value);
+      }
+      requestCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     */
+    public Builder setMigrateMlEngineModelVersionConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+                .Builder
+            builderForValue) {
+      if (migrateMlEngineModelVersionConfigBuilder_ == null) {
+        request_ = builderForValue.build();
+        onChanged();
+      } else {
+        migrateMlEngineModelVersionConfigBuilder_.setMessage(builderForValue.build());
+      }
+      requestCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     */
+    public Builder mergeMigrateMlEngineModelVersionConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+            value) {
+      if (migrateMlEngineModelVersionConfigBuilder_ == null) {
+        if (requestCase_ == 1
+            && request_
+                != com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateMlEngineModelVersionConfig.getDefaultInstance()) {
+          request_ =
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateMlEngineModelVersionConfig.newBuilder(
+                      (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                              .MigrateMlEngineModelVersionConfig)
+                          request_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          request_ = value;
+        }
+        onChanged();
+      } else {
+        if (requestCase_ == 1) {
+          migrateMlEngineModelVersionConfigBuilder_.mergeFrom(value);
+        }
+        migrateMlEngineModelVersionConfigBuilder_.setMessage(value);
+      }
+      requestCase_ = 1;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     */
+    public Builder clearMigrateMlEngineModelVersionConfig() {
+      if (migrateMlEngineModelVersionConfigBuilder_ == null) {
+        if (requestCase_ == 1) {
+          requestCase_ = 0;
+          request_ = null;
+          onChanged();
+        }
+      } else {
+        if (requestCase_ == 1) {
+          requestCase_ = 0;
+          request_ = null;
+        }
+        migrateMlEngineModelVersionConfigBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+            .Builder
+        getMigrateMlEngineModelVersionConfigBuilder() {
+      return getMigrateMlEngineModelVersionConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfigOrBuilder
+        getMigrateMlEngineModelVersionConfigOrBuilder() {
+      if ((requestCase_ == 1) && (migrateMlEngineModelVersionConfigBuilder_ != null)) {
+        return migrateMlEngineModelVersionConfigBuilder_.getMessageOrBuilder();
+      } else {
+        if (requestCase_ == 1) {
+          return (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateMlEngineModelVersionConfig)
+              request_;
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateMlEngineModelVersionConfig.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+                .Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateMlEngineModelVersionConfigOrBuilder>
+        getMigrateMlEngineModelVersionConfigFieldBuilder() {
+      if (migrateMlEngineModelVersionConfigBuilder_ == null) {
+        if (!(requestCase_ == 1)) {
+          request_ =
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateMlEngineModelVersionConfig.getDefaultInstance();
+        }
+        migrateMlEngineModelVersionConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateMlEngineModelVersionConfig,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateMlEngineModelVersionConfig.Builder,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateMlEngineModelVersionConfigOrBuilder>(
+                (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                        .MigrateMlEngineModelVersionConfig)
+                    request_,
+                getParentForChildren(),
+                isClean());
+        request_ = null;
+      }
+      requestCase_ = 1;
+      onChanged();
+      ;
+      return migrateMlEngineModelVersionConfigBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfigOrBuilder>
+        migrateAutomlModelConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     *
+     * @return Whether the migrateAutomlModelConfig field is set.
+     */
+    @java.lang.Override
+    public boolean hasMigrateAutomlModelConfig() {
+      return requestCase_ == 2;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     *
+     * @return The migrateAutomlModelConfig.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+        getMigrateAutomlModelConfig() {
+      if (migrateAutomlModelConfigBuilder_ == null) {
+        if (requestCase_ == 2) {
+          return (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+              request_;
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+            .getDefaultInstance();
+      } else {
+        if (requestCase_ == 2) {
+          return migrateAutomlModelConfigBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     */
+    public Builder setMigrateAutomlModelConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig value) {
+      if (migrateAutomlModelConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        request_ = value;
+        onChanged();
+      } else {
+        migrateAutomlModelConfigBuilder_.setMessage(value);
+      }
+      requestCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     */
+    public Builder setMigrateAutomlModelConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.Builder
+            builderForValue) {
+      if (migrateAutomlModelConfigBuilder_ == null) {
+        request_ = builderForValue.build();
+        onChanged();
+      } else {
+        migrateAutomlModelConfigBuilder_.setMessage(builderForValue.build());
+      }
+      requestCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     */
+    public Builder mergeMigrateAutomlModelConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig value) {
+      if (migrateAutomlModelConfigBuilder_ == null) {
+        if (requestCase_ == 2
+            && request_
+                != com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+                    .getDefaultInstance()) {
+          request_ =
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+                  .newBuilder(
+                      (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                              .MigrateAutomlModelConfig)
+                          request_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          request_ = value;
+        }
+        onChanged();
+      } else {
+        if (requestCase_ == 2) {
+          migrateAutomlModelConfigBuilder_.mergeFrom(value);
+        }
+        migrateAutomlModelConfigBuilder_.setMessage(value);
+      }
+      requestCase_ = 2;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     */
+    public Builder clearMigrateAutomlModelConfig() {
+      if (migrateAutomlModelConfigBuilder_ == null) {
+        if (requestCase_ == 2) {
+          requestCase_ = 0;
+          request_ = null;
+          onChanged();
+        }
+      } else {
+        if (requestCase_ == 2) {
+          requestCase_ = 0;
+          request_ = null;
+        }
+        migrateAutomlModelConfigBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.Builder
+        getMigrateAutomlModelConfigBuilder() {
+      return getMigrateAutomlModelConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfigOrBuilder
+        getMigrateAutomlModelConfigOrBuilder() {
+      if ((requestCase_ == 2) && (migrateAutomlModelConfigBuilder_ != null)) {
+        return migrateAutomlModelConfigBuilder_.getMessageOrBuilder();
+      } else {
+        if (requestCase_ == 2) {
+          return (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+              request_;
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Model in automl.googleapis.com to AI Platform's
+     * Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfigOrBuilder>
+        getMigrateAutomlModelConfigFieldBuilder() {
+      if (migrateAutomlModelConfigBuilder_ == null) {
+        if (!(requestCase_ == 2)) {
+          request_ =
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+                  .getDefaultInstance();
+        }
+        migrateAutomlModelConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+                    .Builder,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateAutomlModelConfigOrBuilder>(
+                (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig)
+                    request_,
+                getParentForChildren(),
+                isClean());
+        request_ = null;
+      }
+      requestCase_ = 2;
+      onChanged();
+      ;
+      return migrateAutomlModelConfigBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                .Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateAutomlDatasetConfigOrBuilder>
+        migrateAutomlDatasetConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     *
+     * @return Whether the migrateAutomlDatasetConfig field is set.
+     */
+    @java.lang.Override
+    public boolean hasMigrateAutomlDatasetConfig() {
+      return requestCase_ == 3;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     *
+     * @return The migrateAutomlDatasetConfig.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+        getMigrateAutomlDatasetConfig() {
+      if (migrateAutomlDatasetConfigBuilder_ == null) {
+        if (requestCase_ == 3) {
+          return (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+              request_;
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+            .getDefaultInstance();
+      } else {
+        if (requestCase_ == 3) {
+          return migrateAutomlDatasetConfigBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     */
+    public Builder setMigrateAutomlDatasetConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig value) {
+      if (migrateAutomlDatasetConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        request_ = value;
+        onChanged();
+      } else {
+        migrateAutomlDatasetConfigBuilder_.setMessage(value);
+      }
+      requestCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     */
+    public Builder setMigrateAutomlDatasetConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig.Builder
+            builderForValue) {
+      if (migrateAutomlDatasetConfigBuilder_ == null) {
+        request_ = builderForValue.build();
+        onChanged();
+      } else {
+        migrateAutomlDatasetConfigBuilder_.setMessage(builderForValue.build());
+      }
+      requestCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     */
+    public Builder mergeMigrateAutomlDatasetConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig value) {
+      if (migrateAutomlDatasetConfigBuilder_ == null) {
+        if (requestCase_ == 3
+            && request_
+                != com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                    .getDefaultInstance()) {
+          request_ =
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                  .newBuilder(
+                      (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                              .MigrateAutomlDatasetConfig)
+                          request_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          request_ = value;
+        }
+        onChanged();
+      } else {
+        if (requestCase_ == 3) {
+          migrateAutomlDatasetConfigBuilder_.mergeFrom(value);
+        }
+        migrateAutomlDatasetConfigBuilder_.setMessage(value);
+      }
+      requestCase_ = 3;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     */
+    public Builder clearMigrateAutomlDatasetConfig() {
+      if (migrateAutomlDatasetConfigBuilder_ == null) {
+        if (requestCase_ == 3) {
+          requestCase_ = 0;
+          request_ = null;
+          onChanged();
+        }
+      } else {
+        if (requestCase_ == 3) {
+          requestCase_ = 0;
+          request_ = null;
+        }
+        migrateAutomlDatasetConfigBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig.Builder
+        getMigrateAutomlDatasetConfigBuilder() {
+      return getMigrateAutomlDatasetConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfigOrBuilder
+        getMigrateAutomlDatasetConfigOrBuilder() {
+      if ((requestCase_ == 3) && (migrateAutomlDatasetConfigBuilder_ != null)) {
+        return migrateAutomlDatasetConfigBuilder_.getMessageOrBuilder();
+      } else {
+        if (requestCase_ == 3) {
+          return (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+              request_;
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+            .getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+     * Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                .Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateAutomlDatasetConfigOrBuilder>
+        getMigrateAutomlDatasetConfigFieldBuilder() {
+      if (migrateAutomlDatasetConfigBuilder_ == null) {
+        if (!(requestCase_ == 3)) {
+          request_ =
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                  .getDefaultInstance();
+        }
+        migrateAutomlDatasetConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+                    .Builder,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateAutomlDatasetConfigOrBuilder>(
+                (com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig)
+                    request_,
+                getParentForChildren(),
+                isClean());
+        request_ = null;
+      }
+      requestCase_ = 3;
+      onChanged();
+      ;
+      return migrateAutomlDatasetConfigBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                .Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateDataLabelingDatasetConfigOrBuilder>
+        migrateDataLabelingDatasetConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     *
+     * @return Whether the migrateDataLabelingDatasetConfig field is set.
+     */
+    @java.lang.Override
+    public boolean hasMigrateDataLabelingDatasetConfig() {
+      return requestCase_ == 4;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     *
+     * @return The migrateDataLabelingDatasetConfig.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+        getMigrateDataLabelingDatasetConfig() {
+      if (migrateDataLabelingDatasetConfigBuilder_ == null) {
+        if (requestCase_ == 4) {
+          return (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateDataLabelingDatasetConfig)
+              request_;
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig.getDefaultInstance();
+      } else {
+        if (requestCase_ == 4) {
+          return migrateDataLabelingDatasetConfigBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     */
+    public Builder setMigrateDataLabelingDatasetConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            value) {
+      if (migrateDataLabelingDatasetConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        request_ = value;
+        onChanged();
+      } else {
+        migrateDataLabelingDatasetConfigBuilder_.setMessage(value);
+      }
+      requestCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     */
+    public Builder setMigrateDataLabelingDatasetConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                .Builder
+            builderForValue) {
+      if (migrateDataLabelingDatasetConfigBuilder_ == null) {
+        request_ = builderForValue.build();
+        onChanged();
+      } else {
+        migrateDataLabelingDatasetConfigBuilder_.setMessage(builderForValue.build());
+      }
+      requestCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     */
+    public Builder mergeMigrateDataLabelingDatasetConfig(
+        com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            value) {
+      if (migrateDataLabelingDatasetConfigBuilder_ == null) {
+        if (requestCase_ == 4
+            && request_
+                != com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig.getDefaultInstance()) {
+          request_ =
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .newBuilder(
+                      (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                              .MigrateDataLabelingDatasetConfig)
+                          request_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          request_ = value;
+        }
+        onChanged();
+      } else {
+        if (requestCase_ == 4) {
+          migrateDataLabelingDatasetConfigBuilder_.mergeFrom(value);
+        }
+        migrateDataLabelingDatasetConfigBuilder_.setMessage(value);
+      }
+      requestCase_ = 4;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     */
+    public Builder clearMigrateDataLabelingDatasetConfig() {
+      if (migrateDataLabelingDatasetConfigBuilder_ == null) {
+        if (requestCase_ == 4) {
+          requestCase_ = 0;
+          request_ = null;
+          onChanged();
+        }
+      } else {
+        if (requestCase_ == 4) {
+          requestCase_ = 0;
+          request_ = null;
+        }
+        migrateDataLabelingDatasetConfigBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+            .Builder
+        getMigrateDataLabelingDatasetConfigBuilder() {
+      return getMigrateDataLabelingDatasetConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfigOrBuilder
+        getMigrateDataLabelingDatasetConfigOrBuilder() {
+      if ((requestCase_ == 4) && (migrateDataLabelingDatasetConfigBuilder_ != null)) {
+        return migrateDataLabelingDatasetConfigBuilder_.getMessageOrBuilder();
+      } else {
+        if (requestCase_ == 4) {
+          return (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                  .MigrateDataLabelingDatasetConfig)
+              request_;
+        }
+        return com.google.cloud.aiplatform.v1.MigrateResourceRequest
+            .MigrateDataLabelingDatasetConfig.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Config for migrating Dataset in datalabeling.googleapis.com to
+     * AI Platform's Dataset.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                .Builder,
+            com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                .MigrateDataLabelingDatasetConfigOrBuilder>
+        getMigrateDataLabelingDatasetConfigFieldBuilder() {
+      if (migrateDataLabelingDatasetConfigBuilder_ == null) {
+        if (!(requestCase_ == 4)) {
+          request_ =
+              com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+                  .getDefaultInstance();
+        }
+        migrateDataLabelingDatasetConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfig.Builder,
+                com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                    .MigrateDataLabelingDatasetConfigOrBuilder>(
+                (com.google.cloud.aiplatform.v1.MigrateResourceRequest
+                        .MigrateDataLabelingDatasetConfig)
+                    request_,
+                getParentForChildren(),
+                isClean());
+        request_ = null;
+      }
+      requestCase_ = 4;
+      onChanged();
+      ;
+      return migrateDataLabelingDatasetConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigrateResourceRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigrateResourceRequest)
+  private static final com.google.cloud.aiplatform.v1.MigrateResourceRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.MigrateResourceRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<MigrateResourceRequest> PARSER =
+      new com.google.protobuf.AbstractParser<MigrateResourceRequest>() {
+        @java.lang.Override
+        public MigrateResourceRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new MigrateResourceRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<MigrateResourceRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<MigrateResourceRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequestOrBuilder.java
new file mode 100644
index 000000000..213a5b433
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceRequestOrBuilder.java
@@ -0,0 +1,208 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface MigrateResourceRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigrateResourceRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+   * </code>
+   *
+   * @return Whether the migrateMlEngineModelVersionConfig field is set.
+   */
+  boolean hasMigrateMlEngineModelVersionConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+   * </code>
+   *
+   * @return The migrateMlEngineModelVersionConfig.
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
+      getMigrateMlEngineModelVersionConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfigOrBuilder
+      getMigrateMlEngineModelVersionConfigOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Model in automl.googleapis.com to AI Platform's
+   * Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+   * </code>
+   *
+   * @return Whether the migrateAutomlModelConfig field is set.
+   */
+  boolean hasMigrateAutomlModelConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Model in automl.googleapis.com to AI Platform's
+   * Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+   * </code>
+   *
+   * @return The migrateAutomlModelConfig.
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
+      getMigrateAutomlModelConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Model in automl.googleapis.com to AI Platform's
+   * Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig migrate_automl_model_config = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfigOrBuilder
+      getMigrateAutomlModelConfigOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+   * Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+   * </code>
+   *
+   * @return Whether the migrateAutomlDatasetConfig field is set.
+   */
+  boolean hasMigrateAutomlDatasetConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+   * Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+   * </code>
+   *
+   * @return The migrateAutomlDatasetConfig.
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
+      getMigrateAutomlDatasetConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in automl.googleapis.com to AI Platform's
+   * Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfigOrBuilder
+      getMigrateAutomlDatasetConfigOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in datalabeling.googleapis.com to
+   * AI Platform's Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+   * </code>
+   *
+   * @return Whether the migrateDataLabelingDatasetConfig field is set.
+   */
+  boolean hasMigrateDataLabelingDatasetConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in datalabeling.googleapis.com to
+   * AI Platform's Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+   * </code>
+   *
+   * @return The migrateDataLabelingDatasetConfig.
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
+      getMigrateDataLabelingDatasetConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Config for migrating Dataset in datalabeling.googleapis.com to
+   * AI Platform's Dataset.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfigOrBuilder
+      getMigrateDataLabelingDatasetConfigOrBuilder();
+
+  public com.google.cloud.aiplatform.v1.MigrateResourceRequest.RequestCase getRequestCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceResponse.java
new file mode 100644
index 000000000..9f5d810d0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceResponse.java
@@ -0,0 +1,1241 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Describes a successfully migrated resource.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.MigrateResourceResponse}
+ */
+public final class MigrateResourceResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.MigrateResourceResponse)
+    MigrateResourceResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use MigrateResourceResponse.newBuilder() to construct.
+  private MigrateResourceResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private MigrateResourceResponse() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new MigrateResourceResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private MigrateResourceResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              migratedResourceCase_ = 1;
+              migratedResource_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              migratedResourceCase_ = 2;
+              migratedResource_ = s;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.aiplatform.v1.MigratableResource.Builder subBuilder = null;
+              if (migratableResource_ != null) {
+                subBuilder = migratableResource_.toBuilder();
+              }
+              migratableResource_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigratableResource.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(migratableResource_);
+                migratableResource_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.MigrateResourceResponse.class,
+            com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder.class);
+  }
+
+  private int migratedResourceCase_ = 0;
+  private java.lang.Object migratedResource_;
+
+  public enum MigratedResourceCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    DATASET(1),
+    MODEL(2),
+    MIGRATEDRESOURCE_NOT_SET(0);
+    private final int value;
+
+    private MigratedResourceCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static MigratedResourceCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static MigratedResourceCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return DATASET;
+        case 2:
+          return MODEL;
+        case 0:
+          return MIGRATEDRESOURCE_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public MigratedResourceCase getMigratedResourceCase() {
+    return MigratedResourceCase.forNumber(migratedResourceCase_);
+  }
+
+  public static final int DATASET_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * <pre>
+   * Migrated Dataset's resource name.
+   * </pre>
+   *
+   * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The dataset.
+   */
+  public java.lang.String getDataset() {
+    java.lang.Object ref = "";
+    if (migratedResourceCase_ == 1) {
+      ref = migratedResource_;
+    }
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      if (migratedResourceCase_ == 1) {
+        migratedResource_ = s;
+      }
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Migrated Dataset's resource name.
+   * </pre>
+   *
+   * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The bytes for dataset.
+   */
+  public com.google.protobuf.ByteString getDatasetBytes() {
+    java.lang.Object ref = "";
+    if (migratedResourceCase_ == 1) {
+      ref = migratedResource_;
+    }
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      if (migratedResourceCase_ == 1) {
+        migratedResource_ = b;
+      }
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MODEL_FIELD_NUMBER = 2;
+  /**
+   *
+   *
+   * <pre>
+   * Migrated Model's resource name.
+   * </pre>
+   *
+   * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The model.
+   */
+  public java.lang.String getModel() {
+    java.lang.Object ref = "";
+    if (migratedResourceCase_ == 2) {
+      ref = migratedResource_;
+    }
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      if (migratedResourceCase_ == 2) {
+        migratedResource_ = s;
+      }
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Migrated Model's resource name.
+   * </pre>
+   *
+   * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The bytes for model.
+   */
+  public com.google.protobuf.ByteString getModelBytes() {
+    java.lang.Object ref = "";
+    if (migratedResourceCase_ == 2) {
+      ref = migratedResource_;
+    }
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      if (migratedResourceCase_ == 2) {
+        migratedResource_ = b;
+      }
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MIGRATABLE_RESOURCE_FIELD_NUMBER = 3;
+  private com.google.cloud.aiplatform.v1.MigratableResource migratableResource_;
+  /**
+   *
+   *
+   * <pre>
+   * Before migration, the identifier in ml.googleapis.com,
+   * automl.googleapis.com or datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+   *
+   * @return Whether the migratableResource field is set.
+   */
+  @java.lang.Override
+  public boolean hasMigratableResource() {
+    return migratableResource_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Before migration, the identifier in ml.googleapis.com,
+   * automl.googleapis.com or datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+   *
+   * @return The migratableResource.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResource getMigratableResource() {
+    return migratableResource_ == null
+        ? com.google.cloud.aiplatform.v1.MigratableResource.getDefaultInstance()
+        : migratableResource_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Before migration, the identifier in ml.googleapis.com,
+   * automl.googleapis.com or datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder
+      getMigratableResourceOrBuilder() {
+    return getMigratableResource();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (migratedResourceCase_ == 1) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, migratedResource_);
+    }
+    if (migratedResourceCase_ == 2) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, migratedResource_);
+    }
+    if (migratableResource_ != null) {
+      output.writeMessage(3, getMigratableResource());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (migratedResourceCase_ == 1) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, migratedResource_);
+    }
+    if (migratedResourceCase_ == 2) {
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.MigrateResourceResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.MigrateResourceResponse other =
+        (com.google.cloud.aiplatform.v1.MigrateResourceResponse) obj;
+
+    if (hasMigratableResource() != other.hasMigratableResource()) return false;
+    if (hasMigratableResource()) {
+      if (!getMigratableResource().equals(other.getMigratableResource())) return false;
+    }
+    if (!getMigratedResourceCase().equals(other.getMigratedResourceCase())) return false;
+    switch (migratedResourceCase_) {
+      case 1:
+        if (!getDataset().equals(other.getDataset())) return false;
+        break;
+      case 2:
+        if (!getModel().equals(other.getModel())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasMigratableResource()) {
+      hash = (37 * hash) + MIGRATABLE_RESOURCE_FIELD_NUMBER;
+      hash = (53 * hash) + getMigratableResource().hashCode();
+    }
+    switch (migratedResourceCase_) {
+      case 1:
+        hash = (37 * hash) + DATASET_FIELD_NUMBER;
+        hash = (53 * hash) + getDataset().hashCode();
+        break;
+      case 2:
+        hash = (37 * hash) + MODEL_FIELD_NUMBER;
+        hash = (53 * hash) + getModel().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.MigrateResourceResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Describes a successfully migrated resource.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.MigrateResourceResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.MigrateResourceResponse)
+      com.google.cloud.aiplatform.v1.MigrateResourceResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.MigrateResourceResponse.class,
+              com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.MigrateResourceResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (migratableResourceBuilder_ == null) {
+        migratableResource_ = null;
+      } else {
+        migratableResource_ = null;
+        migratableResourceBuilder_ = null;
+      }
+      migratedResourceCase_ = 0;
+      migratedResource_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.MigrateResourceResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceResponse build() {
+      com.google.cloud.aiplatform.v1.MigrateResourceResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.MigrateResourceResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.MigrateResourceResponse result =
+          new com.google.cloud.aiplatform.v1.MigrateResourceResponse(this);
+      if (migratedResourceCase_ == 1) {
+        result.migratedResource_ = migratedResource_;
+      }
+      if (migratedResourceCase_ == 2) {
+        result.migratedResource_ = migratedResource_;
+      }
+      if (migratableResourceBuilder_ == null) {
+        result.migratableResource_ = migratableResource_;
+      } else {
+        result.migratableResource_ = migratableResourceBuilder_.build();
+      }
+      result.migratedResourceCase_ = migratedResourceCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.MigrateResourceResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.MigrateResourceResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.MigrateResourceResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.MigrateResourceResponse.getDefaultInstance())
+        return this;
+      if (other.hasMigratableResource()) {
+        mergeMigratableResource(other.getMigratableResource());
+      }
+      switch (other.getMigratedResourceCase()) {
+        case DATASET:
+          {
+            migratedResourceCase_ = 1;
+            migratedResource_ = other.migratedResource_;
+            onChanged();
+            break;
+          }
+        case MODEL:
+          {
+            migratedResourceCase_ = 2;
+            migratedResource_ = other.migratedResource_;
+            onChanged();
+            break;
+          }
+        case MIGRATEDRESOURCE_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.MigrateResourceResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.MigrateResourceResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int migratedResourceCase_ = 0;
+    private java.lang.Object migratedResource_;
+
+    public MigratedResourceCase getMigratedResourceCase() {
+      return MigratedResourceCase.forNumber(migratedResourceCase_);
+    }
+
+    public Builder clearMigratedResource() {
+      migratedResourceCase_ = 0;
+      migratedResource_ = null;
+      onChanged();
+      return this;
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Dataset's resource name.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    @java.lang.Override
+    public java.lang.String getDataset() {
+      java.lang.Object ref = "";
+      if (migratedResourceCase_ == 1) {
+        ref = migratedResource_;
+      }
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (migratedResourceCase_ == 1) {
+          migratedResource_ = s;
+        }
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Dataset's resource name.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDatasetBytes() {
+      java.lang.Object ref = "";
+      if (migratedResourceCase_ == 1) {
+        ref = migratedResource_;
+      }
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (migratedResourceCase_ == 1) {
+          migratedResource_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Dataset's resource name.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @param value The dataset to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDataset(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      migratedResourceCase_ = 1;
+      migratedResource_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Dataset's resource name.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDataset() {
+      if (migratedResourceCase_ == 1) {
+        migratedResourceCase_ = 0;
+        migratedResource_ = null;
+        onChanged();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Dataset's resource name.
+     * </pre>
+     *
+     * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @param value The bytes for dataset to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      migratedResourceCase_ = 1;
+      migratedResource_ = value;
+      onChanged();
+      return this;
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Model's resource name.
+     * </pre>
+     *
+     * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    @java.lang.Override
+    public java.lang.String getModel() {
+      java.lang.Object ref = "";
+      if (migratedResourceCase_ == 2) {
+        ref = migratedResource_;
+      }
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (migratedResourceCase_ == 2) {
+          migratedResource_ = s;
+        }
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Model's resource name.
+     * </pre>
+     *
+     * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getModelBytes() {
+      java.lang.Object ref = "";
+      if (migratedResourceCase_ == 2) {
+        ref = migratedResource_;
+      }
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (migratedResourceCase_ == 2) {
+          migratedResource_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Model's resource name.
+     * </pre>
+     *
+     * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @param value The model to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModel(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      migratedResourceCase_ = 2;
+      migratedResource_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Model's resource name.
+     * </pre>
+     *
+     * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModel() {
+      if (migratedResourceCase_ == 2) {
+        migratedResourceCase_ = 0;
+        migratedResource_ = null;
+        onChanged();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated Model's resource name.
+     * </pre>
+     *
+     * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @param value The bytes for model to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      migratedResourceCase_ = 2;
+      migratedResource_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.MigratableResource migratableResource_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource,
+            com.google.cloud.aiplatform.v1.MigratableResource.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder>
+        migratableResourceBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     *
+     * @return Whether the migratableResource field is set.
+     */
+    public boolean hasMigratableResource() {
+      return migratableResourceBuilder_ != null || migratableResource_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     *
+     * @return The migratableResource.
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource getMigratableResource() {
+      if (migratableResourceBuilder_ == null) {
+        return migratableResource_ == null
+            ? com.google.cloud.aiplatform.v1.MigratableResource.getDefaultInstance()
+            : migratableResource_;
+      } else {
+        return migratableResourceBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     */
+    public Builder setMigratableResource(com.google.cloud.aiplatform.v1.MigratableResource value) {
+      if (migratableResourceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        migratableResource_ = value;
+        onChanged();
+      } else {
+        migratableResourceBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     */
+    public Builder setMigratableResource(
+        com.google.cloud.aiplatform.v1.MigratableResource.Builder builderForValue) {
+      if (migratableResourceBuilder_ == null) {
+        migratableResource_ = builderForValue.build();
+        onChanged();
+      } else {
+        migratableResourceBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     */
+    public Builder mergeMigratableResource(
+        com.google.cloud.aiplatform.v1.MigratableResource value) {
+      if (migratableResourceBuilder_ == null) {
+        if (migratableResource_ != null) {
+          migratableResource_ =
+              com.google.cloud.aiplatform.v1.MigratableResource.newBuilder(migratableResource_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          migratableResource_ = value;
+        }
+        onChanged();
+      } else {
+        migratableResourceBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     */
+    public Builder clearMigratableResource() {
+      if (migratableResourceBuilder_ == null) {
+        migratableResource_ = null;
+        onChanged();
+      } else {
+        migratableResource_ = null;
+        migratableResourceBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource.Builder
+        getMigratableResourceBuilder() {
+
+      onChanged();
+      return getMigratableResourceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder
+        getMigratableResourceOrBuilder() {
+      if (migratableResourceBuilder_ != null) {
+        return migratableResourceBuilder_.getMessageOrBuilder();
+      } else {
+        return migratableResource_ == null
+            ? com.google.cloud.aiplatform.v1.MigratableResource.getDefaultInstance()
+            : migratableResource_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Before migration, the identifier in ml.googleapis.com,
+     * automl.googleapis.com or datalabeling.googleapis.com.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource,
+            com.google.cloud.aiplatform.v1.MigratableResource.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder>
+        getMigratableResourceFieldBuilder() {
+      if (migratableResourceBuilder_ == null) {
+        migratableResourceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigratableResource,
+                com.google.cloud.aiplatform.v1.MigratableResource.Builder,
+                com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder>(
+                getMigratableResource(), getParentForChildren(), isClean());
+        migratableResource_ = null;
+      }
+      return migratableResourceBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.MigrateResourceResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.MigrateResourceResponse)
+  private static final com.google.cloud.aiplatform.v1.MigrateResourceResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.MigrateResourceResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.MigrateResourceResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<MigrateResourceResponse> PARSER =
+      new com.google.protobuf.AbstractParser<MigrateResourceResponse>() {
+        @java.lang.Override
+        public MigrateResourceResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new MigrateResourceResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<MigrateResourceResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<MigrateResourceResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MigrateResourceResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceResponseOrBuilder.java
new file mode 100644
index 000000000..5273b637e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrateResourceResponseOrBuilder.java
@@ -0,0 +1,116 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface MigrateResourceResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.MigrateResourceResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Migrated Dataset's resource name.
+   * </pre>
+   *
+   * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The dataset.
+   */
+  java.lang.String getDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Migrated Dataset's resource name.
+   * </pre>
+   *
+   * <code>string dataset = 1 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The bytes for dataset.
+   */
+  com.google.protobuf.ByteString getDatasetBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Migrated Model's resource name.
+   * </pre>
+   *
+   * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The model.
+   */
+  java.lang.String getModel();
+  /**
+   *
+   *
+   * <pre>
+   * Migrated Model's resource name.
+   * </pre>
+   *
+   * <code>string model = 2 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The bytes for model.
+   */
+  com.google.protobuf.ByteString getModelBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Before migration, the identifier in ml.googleapis.com,
+   * automl.googleapis.com or datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+   *
+   * @return Whether the migratableResource field is set.
+   */
+  boolean hasMigratableResource();
+  /**
+   *
+   *
+   * <pre>
+   * Before migration, the identifier in ml.googleapis.com,
+   * automl.googleapis.com or datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+   *
+   * @return The migratableResource.
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource getMigratableResource();
+  /**
+   *
+   *
+   * <pre>
+   * Before migration, the identifier in ml.googleapis.com,
+   * automl.googleapis.com or datalabeling.googleapis.com.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.MigratableResource migratable_resource = 3;</code>
+   */
+  com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder getMigratableResourceOrBuilder();
+
+  public com.google.cloud.aiplatform.v1.MigrateResourceResponse.MigratedResourceCase
+      getMigratedResourceCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceProto.java
new file mode 100644
index 000000000..a3881088b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/MigrationServiceProto.java
@@ -0,0 +1,349 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class MigrationServiceProto {
+  private MigrationServiceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n2google/cloud/aiplatform/v1/migration_s"
+          + "ervice.proto\022\032google.cloud.aiplatform.v1"
+          + "\032(google/cloud/aiplatform/v1/dataset.pro"
+          + "to\032&google/cloud/aiplatform/v1/model.pro"
+          + "to\032\034google/api/annotations.proto\032\027google"
+          + "/api/client.proto\032\037google/api/field_beha"
+          + "vior.proto\032\031google/api/resource.proto\0324g"
+          + "oogle/cloud/aiplatform/v1/migratable_res"
+          + "ource.proto\032*google/cloud/aiplatform/v1/"
+          + "operation.proto\032#google/longrunning/oper"
+          + "ations.proto\032\027google/rpc/status.proto\"\224\001"
+          + "\n SearchMigratableResourcesRequest\0229\n\006pa"
+          + "rent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleapis"
+          + ".com/Location\022\021\n\tpage_size\030\002 \001(\005\022\022\n\npage"
+          + "_token\030\003 \001(\t\022\016\n\006filter\030\004 \001(\t\"\212\001\n!SearchM"
+          + "igratableResourcesResponse\022L\n\024migratable"
+          + "_resources\030\001 \003(\0132..google.cloud.aiplatfo"
+          + "rm.v1.MigratableResource\022\027\n\017next_page_to"
+          + "ken\030\002 \001(\t\"\265\001\n\034BatchMigrateResourcesReque"
+          + "st\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.go"
+          + "ogleapis.com/Location\022Z\n\031migrate_resourc"
+          + "e_requests\030\002 \003(\01322.google.cloud.aiplatfo"
+          + "rm.v1.MigrateResourceRequestB\003\340A\002\"\342\n\n\026Mi"
+          + "grateResourceRequest\022\206\001\n&migrate_ml_engi"
+          + "ne_model_version_config\030\001 \001(\0132T.google.c"
+          + "loud.aiplatform.v1.MigrateResourceReques"
+          + "t.MigrateMlEngineModelVersionConfigH\000\022r\n"
+          + "\033migrate_automl_model_config\030\002 \001(\0132K.goo"
+          + "gle.cloud.aiplatform.v1.MigrateResourceR"
+          + "equest.MigrateAutomlModelConfigH\000\022v\n\035mig"
+          + "rate_automl_dataset_config\030\003 \001(\0132M.googl"
+          + "e.cloud.aiplatform.v1.MigrateResourceReq"
+          + "uest.MigrateAutomlDatasetConfigH\000\022\203\001\n$mi"
+          + "grate_data_labeling_dataset_config\030\004 \001(\013"
+          + "2S.google.cloud.aiplatform.v1.MigrateRes"
+          + "ourceRequest.MigrateDataLabelingDatasetC"
+          + "onfigH\000\032\225\001\n!MigrateMlEngineModelVersionC"
+          + "onfig\022\025\n\010endpoint\030\001 \001(\tB\003\340A\002\0228\n\rmodel_ve"
+          + "rsion\030\002 \001(\tB!\340A\002\372A\033\n\031ml.googleapis.com/V"
+          + "ersion\022\037\n\022model_display_name\030\003 \001(\tB\003\340A\002\032"
+          + "o\n\030MigrateAutomlModelConfig\0222\n\005model\030\001 \001"
+          + "(\tB#\340A\002\372A\035\n\033automl.googleapis.com/Model\022"
+          + "\037\n\022model_display_name\030\002 \001(\tB\003\340A\001\032w\n\032Migr"
+          + "ateAutomlDatasetConfig\0226\n\007dataset\030\001 \001(\tB"
+          + "%\340A\002\372A\037\n\035automl.googleapis.com/Dataset\022!"
+          + "\n\024dataset_display_name\030\002 \001(\tB\003\340A\002\032\277\003\n Mi"
+          + "grateDataLabelingDatasetConfig\022<\n\007datase"
+          + "t\030\001 \001(\tB+\340A\002\372A%\n#datalabeling.googleapis"
+          + ".com/Dataset\022!\n\024dataset_display_name\030\002 \001"
+          + "(\tB\003\340A\001\022\273\001\n/migrate_data_labeling_annota"
+          + "ted_dataset_configs\030\003 \003(\0132}.google.cloud"
+          + ".aiplatform.v1.MigrateResourceRequest.Mi"
+          + "grateDataLabelingDatasetConfig.MigrateDa"
+          + "taLabelingAnnotatedDatasetConfigB\003\340A\001\032|\n"
+          + ")MigrateDataLabelingAnnotatedDatasetConf"
+          + "ig\022O\n\021annotated_dataset\030\001 \001(\tB4\340A\002\372A.\n,d"
+          + "atalabeling.googleapis.com/AnnotatedData"
+          + "setB\t\n\007request\"x\n\035BatchMigrateResourcesR"
+          + "esponse\022W\n\032migrate_resource_responses\030\001 "
+          + "\003(\01323.google.cloud.aiplatform.v1.Migrate"
+          + "ResourceResponse\"\355\001\n\027MigrateResourceResp"
+          + "onse\0229\n\007dataset\030\001 \001(\tB&\372A#\n!aiplatform.g"
+          + "oogleapis.com/DatasetH\000\0225\n\005model\030\002 \001(\tB$"
+          + "\372A!\n\037aiplatform.googleapis.com/ModelH\000\022K"
+          + "\n\023migratable_resource\030\003 \001(\0132..google.clo"
+          + "ud.aiplatform.v1.MigratableResourceB\023\n\021m"
+          + "igrated_resource\"\333\003\n&BatchMigrateResourc"
+          + "esOperationMetadata\022N\n\020generic_metadata\030"
+          + "\001 \001(\01324.google.cloud.aiplatform.v1.Gener"
+          + "icOperationMetadata\022i\n\017partial_results\030\002"
+          + " \003(\0132P.google.cloud.aiplatform.v1.BatchM"
+          + "igrateResourcesOperationMetadata.Partial"
+          + "Result\032\365\001\n\rPartialResult\022#\n\005error\030\002 \001(\0132"
+          + "\022.google.rpc.StatusH\000\0225\n\005model\030\003 \001(\tB$\372A"
+          + "!\n\037aiplatform.googleapis.com/ModelH\000\0229\n\007"
+          + "dataset\030\004 \001(\tB&\372A#\n!aiplatform.googleapi"
+          + "s.com/DatasetH\000\022C\n\007request\030\001 \001(\01322.googl"
+          + "e.cloud.aiplatform.v1.MigrateResourceReq"
+          + "uestB\010\n\006result2\202\005\n\020MigrationService\022\354\001\n\031"
+          + "SearchMigratableResources\022<.google.cloud"
+          + ".aiplatform.v1.SearchMigratableResources"
+          + "Request\032=.google.cloud.aiplatform.v1.Sea"
+          + "rchMigratableResourcesResponse\"R\202\323\344\223\002C\">"
+          + "/v1/{parent=projects/*/locations/*}/migr"
+          + "atableResources:search:\001*\332A\006parent\022\257\002\n\025B"
+          + "atchMigrateResources\0228.google.cloud.aipl"
+          + "atform.v1.BatchMigrateResourcesRequest\032\035"
+          + ".google.longrunning.Operation\"\274\001\202\323\344\223\002I\"D"
+          + "/v1/{parent=projects/*/locations/*}/migr"
+          + "atableResources:batchMigrate:\001*\332A parent"
+          + ",migrate_resource_requests\312AG\n\035BatchMigr"
+          + "ateResourcesResponse\022&BatchMigrateResour"
+          + "cesOperationMetadata\032M\312A\031aiplatform.goog"
+          + "leapis.com\322A.https://www.googleapis.com/"
+          + "auth/cloud-platformB\177\n\036com.google.cloud."
+          + "aiplatform.v1B\025MigrationServiceProtoP\001ZD"
+          + "google.golang.org/genproto/googleapis/cl"
+          + "oud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.cloud.aiplatform.v1.DatasetProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.ModelProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+              com.google.api.ClientProto.getDescriptor(),
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.MigratableResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.OperationProto.getDescriptor(),
+              com.google.longrunning.OperationsProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesRequest_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "PageSize", "PageToken", "Filter",
+            });
+    internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesResponse_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesResponse_descriptor,
+            new java.lang.String[] {
+              "MigratableResources", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "MigrateResourceRequests",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor,
+            new java.lang.String[] {
+              "MigrateMlEngineModelVersionConfig",
+              "MigrateAutomlModelConfig",
+              "MigrateAutomlDatasetConfig",
+              "MigrateDataLabelingDatasetConfig",
+              "Request",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateMlEngineModelVersionConfig_descriptor,
+            new java.lang.String[] {
+              "Endpoint", "ModelVersion", "ModelDisplayName",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlModelConfig_descriptor,
+            new java.lang.String[] {
+              "Model", "ModelDisplayName",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor
+            .getNestedTypes()
+            .get(2);
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateAutomlDatasetConfig_descriptor,
+            new java.lang.String[] {
+              "Dataset", "DatasetDisplayName",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_descriptor
+            .getNestedTypes()
+            .get(3);
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_descriptor,
+            new java.lang.String[] {
+              "Dataset", "DatasetDisplayName", "MigrateDataLabelingAnnotatedDatasetConfigs",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig_descriptor,
+            new java.lang.String[] {
+              "AnnotatedDataset",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesResponse_descriptor,
+            new java.lang.String[] {
+              "MigrateResourceResponses",
+            });
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_MigrateResourceResponse_descriptor,
+            new java.lang.String[] {
+              "Dataset", "Model", "MigratableResource", "MigratedResource",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(6);
+    internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "GenericMetadata", "PartialResults",
+            });
+    internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor =
+        internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor,
+            new java.lang.String[] {
+              "Error", "Model", "Dataset", "Request", "Result",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.ClientProto.defaultHost);
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.AnnotationsProto.http);
+    registry.add(com.google.api.ClientProto.methodSignature);
+    registry.add(com.google.api.ClientProto.oauthScopes);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    registry.add(com.google.longrunning.OperationsProto.operationInfo);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.cloud.aiplatform.v1.DatasetProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.ModelProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.api.ClientProto.getDescriptor();
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.MigratableResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.OperationProto.getDescriptor();
+    com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Model.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Model.java
new file mode 100644
index 000000000..ff1b7216e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Model.java
@@ -0,0 +1,8704 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A trained machine learning Model.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.Model}
+ */
+public final class Model extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Model)
+    ModelOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Model.newBuilder() to construct.
+  private Model(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private Model() {
+    name_ = "";
+    displayName_ = "";
+    description_ = "";
+    metadataSchemaUri_ = "";
+    supportedExportFormats_ = java.util.Collections.emptyList();
+    trainingPipeline_ = "";
+    artifactUri_ = "";
+    supportedDeploymentResourcesTypes_ = java.util.Collections.emptyList();
+    supportedInputStorageFormats_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    supportedOutputStorageFormats_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    deployedModels_ = java.util.Collections.emptyList();
+    etag_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new Model();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Model(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              description_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.cloud.aiplatform.v1.PredictSchemata.Builder subBuilder = null;
+              if (predictSchemata_ != null) {
+                subBuilder = predictSchemata_.toBuilder();
+              }
+              predictSchemata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.PredictSchemata.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(predictSchemata_);
+                predictSchemata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              metadataSchemaUri_ = s;
+              break;
+            }
+          case 50:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (metadata_ != null) {
+                subBuilder = metadata_.toBuilder();
+              }
+              metadata_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metadata_);
+                metadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 58:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              trainingPipeline_ = s;
+              break;
+            }
+          case 74:
+            {
+              com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder subBuilder = null;
+              if (containerSpec_ != null) {
+                subBuilder = containerSpec_.toBuilder();
+              }
+              containerSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ModelContainerSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(containerSpec_);
+                containerSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 80:
+            {
+              int rawValue = input.readEnum();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                supportedDeploymentResourcesTypes_ = new java.util.ArrayList<java.lang.Integer>();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              supportedDeploymentResourcesTypes_.add(rawValue);
+              break;
+            }
+          case 82:
+            {
+              int length = input.readRawVarint32();
+              int oldLimit = input.pushLimit(length);
+              while (input.getBytesUntilLimit() > 0) {
+                int rawValue = input.readEnum();
+                if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                  supportedDeploymentResourcesTypes_ = new java.util.ArrayList<java.lang.Integer>();
+                  mutable_bitField0_ |= 0x00000002;
+                }
+                supportedDeploymentResourcesTypes_.add(rawValue);
+              }
+              input.popLimit(oldLimit);
+              break;
+            }
+          case 90:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                supportedInputStorageFormats_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              supportedInputStorageFormats_.add(s);
+              break;
+            }
+          case 98:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                supportedOutputStorageFormats_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              supportedOutputStorageFormats_.add(s);
+              break;
+            }
+          case 106:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 114:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 122:
+            {
+              if (!((mutable_bitField0_ & 0x00000010) != 0)) {
+                deployedModels_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.DeployedModelRef>();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              deployedModels_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.DeployedModelRef.parser(), extensionRegistry));
+              break;
+            }
+          case 130:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              etag_ = s;
+              break;
+            }
+          case 138:
+            {
+              if (!((mutable_bitField0_ & 0x00000020) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000020;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 162:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                supportedExportFormats_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.Model.ExportFormat>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              supportedExportFormats_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Model.ExportFormat.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EncryptionSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 210:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              artifactUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        supportedDeploymentResourcesTypes_ =
+            java.util.Collections.unmodifiableList(supportedDeploymentResourcesTypes_);
+      }
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        supportedInputStorageFormats_ = supportedInputStorageFormats_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000008) != 0)) {
+        supportedOutputStorageFormats_ = supportedOutputStorageFormats_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000010) != 0)) {
+        deployedModels_ = java.util.Collections.unmodifiableList(deployedModels_);
+      }
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        supportedExportFormats_ = java.util.Collections.unmodifiableList(supportedExportFormats_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelProto
+        .internal_static_google_cloud_aiplatform_v1_Model_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 17:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelProto
+        .internal_static_google_cloud_aiplatform_v1_Model_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.Model.class,
+            com.google.cloud.aiplatform.v1.Model.Builder.class);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * Identifies a type of Model's prediction resources.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1.Model.DeploymentResourcesType}
+   */
+  public enum DeploymentResourcesType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be used.
+     * </pre>
+     *
+     * <code>DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED = 0;</code>
+     */
+    DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need a
+     * higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>DEDICATED_RESOURCES = 1;</code>
+     */
+    DEDICATED_RESOURCES(1),
+    /**
+     *
+     *
+     * <pre>
+     * Resources that to large degree are decided by AI Platform, and require
+     * only a modest additional configuration.
+     * </pre>
+     *
+     * <code>AUTOMATIC_RESOURCES = 2;</code>
+     */
+    AUTOMATIC_RESOURCES(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be used.
+     * </pre>
+     *
+     * <code>DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need a
+     * higher degree of manual configuration.
+     * </pre>
+     *
+     * <code>DEDICATED_RESOURCES = 1;</code>
+     */
+    public static final int DEDICATED_RESOURCES_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Resources that to large degree are decided by AI Platform, and require
+     * only a modest additional configuration.
+     * </pre>
+     *
+     * <code>AUTOMATIC_RESOURCES = 2;</code>
+     */
+    public static final int AUTOMATIC_RESOURCES_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static DeploymentResourcesType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static DeploymentResourcesType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED;
+        case 1:
+          return DEDICATED_RESOURCES;
+        case 2:
+          return AUTOMATIC_RESOURCES;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<DeploymentResourcesType>
+        internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<DeploymentResourcesType>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<DeploymentResourcesType>() {
+              public DeploymentResourcesType findValueByNumber(int number) {
+                return DeploymentResourcesType.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.Model.getDescriptor().getEnumTypes().get(0);
+    }
+
+    private static final DeploymentResourcesType[] VALUES = values();
+
+    public static DeploymentResourcesType valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private DeploymentResourcesType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.Model.DeploymentResourcesType)
+  }
+
+  public interface ExportFormatOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Model.ExportFormat)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the export format.
+     * The possible format IDs are:
+     * * `tflite`
+     * Used for Android mobile devices.
+     * * `edgetpu-tflite`
+     * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+     * * `tf-saved-model`
+     * A tensorflow model in SavedModel format.
+     * * `tf-js`
+     * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+     * in the browser and in Node.js using JavaScript.
+     * * `core-ml`
+     * Used for iOS mobile devices.
+     * * `custom-trained`
+     * A Model that was uploaded or trained by custom code.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The id.
+     */
+    java.lang.String getId();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the export format.
+     * The possible format IDs are:
+     * * `tflite`
+     * Used for Android mobile devices.
+     * * `edgetpu-tflite`
+     * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+     * * `tf-saved-model`
+     * A tensorflow model in SavedModel format.
+     * * `tf-js`
+     * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+     * in the browser and in Node.js using JavaScript.
+     * * `core-ml`
+     * Used for iOS mobile devices.
+     * * `custom-trained`
+     * A Model that was uploaded or trained by custom code.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for id.
+     */
+    com.google.protobuf.ByteString getIdBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the exportableContents.
+     */
+    java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent>
+        getExportableContentsList();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The count of exportableContents.
+     */
+    int getExportableContentsCount();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the element to return.
+     * @return The exportableContents at the given index.
+     */
+    com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent getExportableContents(
+        int index);
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the enum numeric values on the wire for exportableContents.
+     */
+    java.util.List<java.lang.Integer> getExportableContentsValueList();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The enum numeric value on the wire of exportableContents at the given index.
+     */
+    int getExportableContentsValue(int index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents export format supported by the Model.
+   * All formats export to Google Cloud Storage.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.Model.ExportFormat}
+   */
+  public static final class ExportFormat extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Model.ExportFormat)
+      ExportFormatOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use ExportFormat.newBuilder() to construct.
+    private ExportFormat(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private ExportFormat() {
+      id_ = "";
+      exportableContents_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new ExportFormat();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private ExportFormat(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                id_ = s;
+                break;
+              }
+            case 16:
+              {
+                int rawValue = input.readEnum();
+                if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                  exportableContents_ = new java.util.ArrayList<java.lang.Integer>();
+                  mutable_bitField0_ |= 0x00000001;
+                }
+                exportableContents_.add(rawValue);
+                break;
+              }
+            case 18:
+              {
+                int length = input.readRawVarint32();
+                int oldLimit = input.pushLimit(length);
+                while (input.getBytesUntilLimit() > 0) {
+                  int rawValue = input.readEnum();
+                  if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                    exportableContents_ = new java.util.ArrayList<java.lang.Integer>();
+                    mutable_bitField0_ |= 0x00000001;
+                  }
+                  exportableContents_.add(rawValue);
+                }
+                input.popLimit(oldLimit);
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          exportableContents_ = java.util.Collections.unmodifiableList(exportableContents_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.Model.ExportFormat.class,
+              com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder.class);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * The Model content that can be exported.
+     * </pre>
+     *
+     * Protobuf enum {@code google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent}
+     */
+    public enum ExportableContent implements com.google.protobuf.ProtocolMessageEnum {
+      /**
+       *
+       *
+       * <pre>
+       * Should not be used.
+       * </pre>
+       *
+       * <code>EXPORTABLE_CONTENT_UNSPECIFIED = 0;</code>
+       */
+      EXPORTABLE_CONTENT_UNSPECIFIED(0),
+      /**
+       *
+       *
+       * <pre>
+       * Model artifact and any of its supported files. Will be exported to the
+       * location specified by the `artifactDestination` field of the
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+       * </pre>
+       *
+       * <code>ARTIFACT = 1;</code>
+       */
+      ARTIFACT(1),
+      /**
+       *
+       *
+       * <pre>
+       * The container image that is to be used when deploying this Model. Will
+       * be exported to the location specified by the `imageDestination` field
+       * of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+       * </pre>
+       *
+       * <code>IMAGE = 2;</code>
+       */
+      IMAGE(2),
+      UNRECOGNIZED(-1),
+      ;
+
+      /**
+       *
+       *
+       * <pre>
+       * Should not be used.
+       * </pre>
+       *
+       * <code>EXPORTABLE_CONTENT_UNSPECIFIED = 0;</code>
+       */
+      public static final int EXPORTABLE_CONTENT_UNSPECIFIED_VALUE = 0;
+      /**
+       *
+       *
+       * <pre>
+       * Model artifact and any of its supported files. Will be exported to the
+       * location specified by the `artifactDestination` field of the
+       * [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+       * </pre>
+       *
+       * <code>ARTIFACT = 1;</code>
+       */
+      public static final int ARTIFACT_VALUE = 1;
+      /**
+       *
+       *
+       * <pre>
+       * The container image that is to be used when deploying this Model. Will
+       * be exported to the location specified by the `imageDestination` field
+       * of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+       * </pre>
+       *
+       * <code>IMAGE = 2;</code>
+       */
+      public static final int IMAGE_VALUE = 2;
+
+      public final int getNumber() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalArgumentException(
+              "Can't get the number of an unknown enum value.");
+        }
+        return value;
+      }
+
+      /**
+       * @param value The numeric wire value of the corresponding enum entry.
+       * @return The enum associated with the given numeric wire value.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static ExportableContent valueOf(int value) {
+        return forNumber(value);
+      }
+
+      /**
+       * @param value The numeric wire value of the corresponding enum entry.
+       * @return The enum associated with the given numeric wire value.
+       */
+      public static ExportableContent forNumber(int value) {
+        switch (value) {
+          case 0:
+            return EXPORTABLE_CONTENT_UNSPECIFIED;
+          case 1:
+            return ARTIFACT;
+          case 2:
+            return IMAGE;
+          default:
+            return null;
+        }
+      }
+
+      public static com.google.protobuf.Internal.EnumLiteMap<ExportableContent>
+          internalGetValueMap() {
+        return internalValueMap;
+      }
+
+      private static final com.google.protobuf.Internal.EnumLiteMap<ExportableContent>
+          internalValueMap =
+              new com.google.protobuf.Internal.EnumLiteMap<ExportableContent>() {
+                public ExportableContent findValueByNumber(int number) {
+                  return ExportableContent.forNumber(number);
+                }
+              };
+
+      public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalStateException(
+              "Can't get the descriptor of an unrecognized enum value.");
+        }
+        return getDescriptor().getValues().get(ordinal());
+      }
+
+      public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+        return getDescriptor();
+      }
+
+      public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.Model.ExportFormat.getDescriptor()
+            .getEnumTypes()
+            .get(0);
+      }
+
+      private static final ExportableContent[] VALUES = values();
+
+      public static ExportableContent valueOf(
+          com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+        if (desc.getType() != getDescriptor()) {
+          throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+        }
+        if (desc.getIndex() == -1) {
+          return UNRECOGNIZED;
+        }
+        return VALUES[desc.getIndex()];
+      }
+
+      private final int value;
+
+      private ExportableContent(int value) {
+        this.value = value;
+      }
+
+      // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent)
+    }
+
+    public static final int ID_FIELD_NUMBER = 1;
+    private volatile java.lang.Object id_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the export format.
+     * The possible format IDs are:
+     * * `tflite`
+     * Used for Android mobile devices.
+     * * `edgetpu-tflite`
+     * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+     * * `tf-saved-model`
+     * A tensorflow model in SavedModel format.
+     * * `tf-js`
+     * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+     * in the browser and in Node.js using JavaScript.
+     * * `core-ml`
+     * Used for iOS mobile devices.
+     * * `custom-trained`
+     * A Model that was uploaded or trained by custom code.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The id.
+     */
+    @java.lang.Override
+    public java.lang.String getId() {
+      java.lang.Object ref = id_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        id_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the export format.
+     * The possible format IDs are:
+     * * `tflite`
+     * Used for Android mobile devices.
+     * * `edgetpu-tflite`
+     * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+     * * `tf-saved-model`
+     * A tensorflow model in SavedModel format.
+     * * `tf-js`
+     * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+     * in the browser and in Node.js using JavaScript.
+     * * `core-ml`
+     * Used for iOS mobile devices.
+     * * `custom-trained`
+     * A Model that was uploaded or trained by custom code.
+     * </pre>
+     *
+     * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for id.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getIdBytes() {
+      java.lang.Object ref = id_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        id_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int EXPORTABLE_CONTENTS_FIELD_NUMBER = 2;
+    private java.util.List<java.lang.Integer> exportableContents_;
+    private static final com.google.protobuf.Internal.ListAdapter.Converter<
+            java.lang.Integer, com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent>
+        exportableContents_converter_ =
+            new com.google.protobuf.Internal.ListAdapter.Converter<
+                java.lang.Integer,
+                com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent>() {
+              public com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent convert(
+                  java.lang.Integer from) {
+                @SuppressWarnings("deprecation")
+                com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent result =
+                    com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent.valueOf(
+                        from);
+                return result == null
+                    ? com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent
+                        .UNRECOGNIZED
+                    : result;
+              }
+            };
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the exportableContents.
+     */
+    @java.lang.Override
+    public java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent>
+        getExportableContentsList() {
+      return new com.google.protobuf.Internal.ListAdapter<
+          java.lang.Integer, com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent>(
+          exportableContents_, exportableContents_converter_);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The count of exportableContents.
+     */
+    @java.lang.Override
+    public int getExportableContentsCount() {
+      return exportableContents_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the element to return.
+     * @return The exportableContents at the given index.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent
+        getExportableContents(int index) {
+      return exportableContents_converter_.convert(exportableContents_.get(index));
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the enum numeric values on the wire for exportableContents.
+     */
+    @java.lang.Override
+    public java.util.List<java.lang.Integer> getExportableContentsValueList() {
+      return exportableContents_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The content of this Model that may be exported.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The enum numeric value on the wire of exportableContents at the given index.
+     */
+    @java.lang.Override
+    public int getExportableContentsValue(int index) {
+      return exportableContents_.get(index);
+    }
+
+    private int exportableContentsMemoizedSerializedSize;
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      getSerializedSize();
+      if (!getIdBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, id_);
+      }
+      if (getExportableContentsList().size() > 0) {
+        output.writeUInt32NoTag(18);
+        output.writeUInt32NoTag(exportableContentsMemoizedSerializedSize);
+      }
+      for (int i = 0; i < exportableContents_.size(); i++) {
+        output.writeEnumNoTag(exportableContents_.get(i));
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getIdBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, id_);
+      }
+      {
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+        for (int i = 0; i < exportableContents_.size(); i++) {
+          dataSize +=
+              com.google.protobuf.CodedOutputStream.computeEnumSizeNoTag(
+                  exportableContents_.get(i));
+        }
+        size += dataSize;
+        if (!getExportableContentsList().isEmpty()) {
+          size += 1;
+          size += com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(dataSize);
+        }
+        exportableContentsMemoizedSerializedSize = dataSize;
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.Model.ExportFormat)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.Model.ExportFormat other =
+          (com.google.cloud.aiplatform.v1.Model.ExportFormat) obj;
+
+      if (!getId().equals(other.getId())) return false;
+      if (!exportableContents_.equals(other.exportableContents_)) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + ID_FIELD_NUMBER;
+      hash = (53 * hash) + getId().hashCode();
+      if (getExportableContentsCount() > 0) {
+        hash = (37 * hash) + EXPORTABLE_CONTENTS_FIELD_NUMBER;
+        hash = (53 * hash) + exportableContents_.hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(byte[] data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(com.google.cloud.aiplatform.v1.Model.ExportFormat prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents export format supported by the Model.
+     * All formats export to Google Cloud Storage.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.Model.ExportFormat}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.Model.ExportFormat)
+        com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.ModelProto
+            .internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.ModelProto
+            .internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.Model.ExportFormat.class,
+                com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.Model.ExportFormat.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        id_ = "";
+
+        exportableContents_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.ModelProto
+            .internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Model.ExportFormat getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.Model.ExportFormat.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Model.ExportFormat build() {
+        com.google.cloud.aiplatform.v1.Model.ExportFormat result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Model.ExportFormat buildPartial() {
+        com.google.cloud.aiplatform.v1.Model.ExportFormat result =
+            new com.google.cloud.aiplatform.v1.Model.ExportFormat(this);
+        int from_bitField0_ = bitField0_;
+        result.id_ = id_;
+        if (((bitField0_ & 0x00000001) != 0)) {
+          exportableContents_ = java.util.Collections.unmodifiableList(exportableContents_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.exportableContents_ = exportableContents_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.Model.ExportFormat) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.Model.ExportFormat) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(com.google.cloud.aiplatform.v1.Model.ExportFormat other) {
+        if (other == com.google.cloud.aiplatform.v1.Model.ExportFormat.getDefaultInstance())
+          return this;
+        if (!other.getId().isEmpty()) {
+          id_ = other.id_;
+          onChanged();
+        }
+        if (!other.exportableContents_.isEmpty()) {
+          if (exportableContents_.isEmpty()) {
+            exportableContents_ = other.exportableContents_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureExportableContentsIsMutable();
+            exportableContents_.addAll(other.exportableContents_);
+          }
+          onChanged();
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.Model.ExportFormat parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.Model.ExportFormat) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int bitField0_;
+
+      private java.lang.Object id_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the export format.
+       * The possible format IDs are:
+       * * `tflite`
+       * Used for Android mobile devices.
+       * * `edgetpu-tflite`
+       * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+       * * `tf-saved-model`
+       * A tensorflow model in SavedModel format.
+       * * `tf-js`
+       * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+       * in the browser and in Node.js using JavaScript.
+       * * `core-ml`
+       * Used for iOS mobile devices.
+       * * `custom-trained`
+       * A Model that was uploaded or trained by custom code.
+       * </pre>
+       *
+       * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The id.
+       */
+      public java.lang.String getId() {
+        java.lang.Object ref = id_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          id_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the export format.
+       * The possible format IDs are:
+       * * `tflite`
+       * Used for Android mobile devices.
+       * * `edgetpu-tflite`
+       * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+       * * `tf-saved-model`
+       * A tensorflow model in SavedModel format.
+       * * `tf-js`
+       * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+       * in the browser and in Node.js using JavaScript.
+       * * `core-ml`
+       * Used for iOS mobile devices.
+       * * `custom-trained`
+       * A Model that was uploaded or trained by custom code.
+       * </pre>
+       *
+       * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The bytes for id.
+       */
+      public com.google.protobuf.ByteString getIdBytes() {
+        java.lang.Object ref = id_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          id_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the export format.
+       * The possible format IDs are:
+       * * `tflite`
+       * Used for Android mobile devices.
+       * * `edgetpu-tflite`
+       * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+       * * `tf-saved-model`
+       * A tensorflow model in SavedModel format.
+       * * `tf-js`
+       * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+       * in the browser and in Node.js using JavaScript.
+       * * `core-ml`
+       * Used for iOS mobile devices.
+       * * `custom-trained`
+       * A Model that was uploaded or trained by custom code.
+       * </pre>
+       *
+       * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The id to set.
+       * @return This builder for chaining.
+       */
+      public Builder setId(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        id_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the export format.
+       * The possible format IDs are:
+       * * `tflite`
+       * Used for Android mobile devices.
+       * * `edgetpu-tflite`
+       * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+       * * `tf-saved-model`
+       * A tensorflow model in SavedModel format.
+       * * `tf-js`
+       * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+       * in the browser and in Node.js using JavaScript.
+       * * `core-ml`
+       * Used for iOS mobile devices.
+       * * `custom-trained`
+       * A Model that was uploaded or trained by custom code.
+       * </pre>
+       *
+       * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearId() {
+
+        id_ = getDefaultInstance().getId();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the export format.
+       * The possible format IDs are:
+       * * `tflite`
+       * Used for Android mobile devices.
+       * * `edgetpu-tflite`
+       * Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+       * * `tf-saved-model`
+       * A tensorflow model in SavedModel format.
+       * * `tf-js`
+       * A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+       * in the browser and in Node.js using JavaScript.
+       * * `core-ml`
+       * Used for iOS mobile devices.
+       * * `custom-trained`
+       * A Model that was uploaded or trained by custom code.
+       * </pre>
+       *
+       * <code>string id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The bytes for id to set.
+       * @return This builder for chaining.
+       */
+      public Builder setIdBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        id_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.util.List<java.lang.Integer> exportableContents_ =
+          java.util.Collections.emptyList();
+
+      private void ensureExportableContentsIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          exportableContents_ = new java.util.ArrayList<java.lang.Integer>(exportableContents_);
+          bitField0_ |= 0x00000001;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @return A list containing the exportableContents.
+       */
+      public java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent>
+          getExportableContentsList() {
+        return new com.google.protobuf.Internal.ListAdapter<
+            java.lang.Integer, com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent>(
+            exportableContents_, exportableContents_converter_);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @return The count of exportableContents.
+       */
+      public int getExportableContentsCount() {
+        return exportableContents_.size();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param index The index of the element to return.
+       * @return The exportableContents at the given index.
+       */
+      public com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent
+          getExportableContents(int index) {
+        return exportableContents_converter_.convert(exportableContents_.get(index));
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param index The index to set the value at.
+       * @param value The exportableContents to set.
+       * @return This builder for chaining.
+       */
+      public Builder setExportableContents(
+          int index, com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExportableContentsIsMutable();
+        exportableContents_.set(index, value.getNumber());
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param value The exportableContents to add.
+       * @return This builder for chaining.
+       */
+      public Builder addExportableContents(
+          com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExportableContentsIsMutable();
+        exportableContents_.add(value.getNumber());
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param values The exportableContents to add.
+       * @return This builder for chaining.
+       */
+      public Builder addAllExportableContents(
+          java.lang.Iterable<
+                  ? extends com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent>
+              values) {
+        ensureExportableContentsIsMutable();
+        for (com.google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent value : values) {
+          exportableContents_.add(value.getNumber());
+        }
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearExportableContents() {
+        exportableContents_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @return A list containing the enum numeric values on the wire for exportableContents.
+       */
+      public java.util.List<java.lang.Integer> getExportableContentsValueList() {
+        return java.util.Collections.unmodifiableList(exportableContents_);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param index The index of the value to return.
+       * @return The enum numeric value on the wire of exportableContents at the given index.
+       */
+      public int getExportableContentsValue(int index) {
+        return exportableContents_.get(index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param index The index of the value to return.
+       * @return The enum numeric value on the wire of exportableContents at the given index.
+       * @return This builder for chaining.
+       */
+      public Builder setExportableContentsValue(int index, int value) {
+        ensureExportableContentsIsMutable();
+        exportableContents_.set(index, value);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param value The enum numeric value on the wire for exportableContents to add.
+       * @return This builder for chaining.
+       */
+      public Builder addExportableContentsValue(int value) {
+        ensureExportableContentsIsMutable();
+        exportableContents_.add(value);
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The content of this Model that may be exported.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.Model.ExportFormat.ExportableContent exportable_contents = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+       * </code>
+       *
+       * @param values The enum numeric values on the wire for exportableContents to add.
+       * @return This builder for chaining.
+       */
+      public Builder addAllExportableContentsValue(java.lang.Iterable<java.lang.Integer> values) {
+        ensureExportableContentsIsMutable();
+        for (int value : values) {
+          exportableContents_.add(value);
+        }
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Model.ExportFormat)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Model.ExportFormat)
+    private static final com.google.cloud.aiplatform.v1.Model.ExportFormat DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Model.ExportFormat();
+    }
+
+    public static com.google.cloud.aiplatform.v1.Model.ExportFormat getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<ExportFormat> PARSER =
+        new com.google.protobuf.AbstractParser<ExportFormat>() {
+          @java.lang.Override
+          public ExportFormat parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new ExportFormat(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<ExportFormat> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<ExportFormat> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Model.ExportFormat getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * The resource name of the Model.
+   * </pre>
+   *
+   * <code>string name = 1;</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource name of the Model.
+   * </pre>
+   *
+   * <code>string name = 1;</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the Model.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the Model.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DESCRIPTION_FIELD_NUMBER = 3;
+  private volatile java.lang.Object description_;
+  /**
+   *
+   *
+   * <pre>
+   * The description of the Model.
+   * </pre>
+   *
+   * <code>string description = 3;</code>
+   *
+   * @return The description.
+   */
+  @java.lang.Override
+  public java.lang.String getDescription() {
+    java.lang.Object ref = description_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      description_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The description of the Model.
+   * </pre>
+   *
+   * <code>string description = 3;</code>
+   *
+   * @return The bytes for description.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDescriptionBytes() {
+    java.lang.Object ref = description_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      description_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PREDICT_SCHEMATA_FIELD_NUMBER = 4;
+  private com.google.cloud.aiplatform.v1.PredictSchemata predictSchemata_;
+  /**
+   *
+   *
+   * <pre>
+   * The schemata that describe formats of the Model's predictions and
+   * explanations as given and returned via
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+   *
+   * @return Whether the predictSchemata field is set.
+   */
+  @java.lang.Override
+  public boolean hasPredictSchemata() {
+    return predictSchemata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The schemata that describe formats of the Model's predictions and
+   * explanations as given and returned via
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+   *
+   * @return The predictSchemata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PredictSchemata getPredictSchemata() {
+    return predictSchemata_ == null
+        ? com.google.cloud.aiplatform.v1.PredictSchemata.getDefaultInstance()
+        : predictSchemata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The schemata that describe formats of the Model's predictions and
+   * explanations as given and returned via
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder getPredictSchemataOrBuilder() {
+    return getPredictSchemata();
+  }
+
+  public static final int METADATA_SCHEMA_URI_FIELD_NUMBER = 5;
+  private volatile java.lang.Object metadataSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+   * information about the Model, that is specific to it. Unset if the Model
+   * does not have any additional information.
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform, if no
+   * additional metadata is needed, this field is set to an empty string.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The metadataSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getMetadataSchemaUri() {
+    java.lang.Object ref = metadataSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      metadataSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+   * information about the Model, that is specific to it. Unset if the Model
+   * does not have any additional information.
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform, if no
+   * additional metadata is needed, this field is set to an empty string.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for metadataSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
+    java.lang.Object ref = metadataSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      metadataSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int METADATA_FIELD_NUMBER = 6;
+  private com.google.protobuf.Value metadata_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An additional information about the Model; the schema of the metadata can
+   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Unset if the Model does not have any additional information.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetadata() {
+    return metadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An additional information about the Model; the schema of the metadata can
+   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Unset if the Model does not have any additional information.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The metadata.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getMetadata() {
+    return metadata_ == null ? com.google.protobuf.Value.getDefaultInstance() : metadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An additional information about the Model; the schema of the metadata can
+   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Unset if the Model does not have any additional information.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
+    return getMetadata();
+  }
+
+  public static final int SUPPORTED_EXPORT_FORMATS_FIELD_NUMBER = 20;
+  private java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat> supportedExportFormats_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat>
+      getSupportedExportFormatsList() {
+    return supportedExportFormats_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder>
+      getSupportedExportFormatsOrBuilderList() {
+    return supportedExportFormats_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getSupportedExportFormatsCount() {
+    return supportedExportFormats_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Model.ExportFormat getSupportedExportFormats(int index) {
+    return supportedExportFormats_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder
+      getSupportedExportFormatsOrBuilder(int index) {
+    return supportedExportFormats_.get(index);
+  }
+
+  public static final int TRAINING_PIPELINE_FIELD_NUMBER = 7;
+  private volatile java.lang.Object trainingPipeline_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+   * </pre>
+   *
+   * <code>
+   * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The trainingPipeline.
+   */
+  @java.lang.Override
+  public java.lang.String getTrainingPipeline() {
+    java.lang.Object ref = trainingPipeline_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      trainingPipeline_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+   * </pre>
+   *
+   * <code>
+   * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for trainingPipeline.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTrainingPipelineBytes() {
+    java.lang.Object ref = trainingPipeline_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      trainingPipeline_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int CONTAINER_SPEC_FIELD_NUMBER = 9;
+  private com.google.cloud.aiplatform.v1.ModelContainerSpec containerSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Input only. The specification of the container that is to be used when deploying
+   * this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+   * and stored internally by AI Platform.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the containerSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasContainerSpec() {
+    return containerSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Input only. The specification of the container that is to be used when deploying
+   * this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+   * and stored internally by AI Platform.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+   * </code>
+   *
+   * @return The containerSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelContainerSpec getContainerSpec() {
+    return containerSpec_ == null
+        ? com.google.cloud.aiplatform.v1.ModelContainerSpec.getDefaultInstance()
+        : containerSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Input only. The specification of the container that is to be used when deploying
+   * this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+   * and stored internally by AI Platform.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder getContainerSpecOrBuilder() {
+    return getContainerSpec();
+  }
+
+  public static final int ARTIFACT_URI_FIELD_NUMBER = 26;
+  private volatile java.lang.Object artifactUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The path to the directory containing the Model artifact and any of its
+   * supporting files.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The artifactUri.
+   */
+  @java.lang.Override
+  public java.lang.String getArtifactUri() {
+    java.lang.Object ref = artifactUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      artifactUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The path to the directory containing the Model artifact and any of its
+   * supporting files.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for artifactUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getArtifactUriBytes() {
+    java.lang.Object ref = artifactUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      artifactUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int SUPPORTED_DEPLOYMENT_RESOURCES_TYPES_FIELD_NUMBER = 10;
+  private java.util.List<java.lang.Integer> supportedDeploymentResourcesTypes_;
+  private static final com.google.protobuf.Internal.ListAdapter.Converter<
+          java.lang.Integer, com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType>
+      supportedDeploymentResourcesTypes_converter_ =
+          new com.google.protobuf.Internal.ListAdapter.Converter<
+              java.lang.Integer, com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType>() {
+            public com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType convert(
+                java.lang.Integer from) {
+              @SuppressWarnings("deprecation")
+              com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType result =
+                  com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType.valueOf(from);
+              return result == null
+                  ? com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType.UNRECOGNIZED
+                  : result;
+            }
+          };
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the supportedDeploymentResourcesTypes.
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType>
+      getSupportedDeploymentResourcesTypesList() {
+    return new com.google.protobuf.Internal.ListAdapter<
+        java.lang.Integer, com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType>(
+        supportedDeploymentResourcesTypes_, supportedDeploymentResourcesTypes_converter_);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The count of supportedDeploymentResourcesTypes.
+   */
+  @java.lang.Override
+  public int getSupportedDeploymentResourcesTypesCount() {
+    return supportedDeploymentResourcesTypes_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The supportedDeploymentResourcesTypes at the given index.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType
+      getSupportedDeploymentResourcesTypes(int index) {
+    return supportedDeploymentResourcesTypes_converter_.convert(
+        supportedDeploymentResourcesTypes_.get(index));
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the enum numeric values on the wire for
+   *     supportedDeploymentResourcesTypes.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Integer> getSupportedDeploymentResourcesTypesValueList() {
+    return supportedDeploymentResourcesTypes_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The enum numeric value on the wire of supportedDeploymentResourcesTypes at the given
+   *     index.
+   */
+  @java.lang.Override
+  public int getSupportedDeploymentResourcesTypesValue(int index) {
+    return supportedDeploymentResourcesTypes_.get(index);
+  }
+
+  private int supportedDeploymentResourcesTypesMemoizedSerializedSize;
+
+  public static final int SUPPORTED_INPUT_STORAGE_FORMATS_FIELD_NUMBER = 11;
+  private com.google.protobuf.LazyStringList supportedInputStorageFormats_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+   * should be given as per that schema.
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each instance is a single line. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `csv`
+   * The CSV format, where each instance is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record`
+   * The TFRecord format, where each instance is a single record in tfrecord
+   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record-gzip`
+   * Similar to `tf-record`, but the file is gzipped. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `bigquery`
+   * Each instance is a single row in BigQuery. Uses
+   * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the supportedInputStorageFormats.
+   */
+  public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsList() {
+    return supportedInputStorageFormats_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+   * should be given as per that schema.
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each instance is a single line. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `csv`
+   * The CSV format, where each instance is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record`
+   * The TFRecord format, where each instance is a single record in tfrecord
+   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record-gzip`
+   * Similar to `tf-record`, but the file is gzipped. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `bigquery`
+   * Each instance is a single row in BigQuery. Uses
+   * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The count of supportedInputStorageFormats.
+   */
+  public int getSupportedInputStorageFormatsCount() {
+    return supportedInputStorageFormats_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+   * should be given as per that schema.
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each instance is a single line. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `csv`
+   * The CSV format, where each instance is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record`
+   * The TFRecord format, where each instance is a single record in tfrecord
+   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record-gzip`
+   * Similar to `tf-record`, but the file is gzipped. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `bigquery`
+   * Each instance is a single row in BigQuery. Uses
+   * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The supportedInputStorageFormats at the given index.
+   */
+  public java.lang.String getSupportedInputStorageFormats(int index) {
+    return supportedInputStorageFormats_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+   * should be given as per that schema.
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each instance is a single line. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `csv`
+   * The CSV format, where each instance is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record`
+   * The TFRecord format, where each instance is a single record in tfrecord
+   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record-gzip`
+   * Similar to `tf-record`, but the file is gzipped. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `bigquery`
+   * Each instance is a single row in BigQuery. Uses
+   * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the supportedInputStorageFormats at the given index.
+   */
+  public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int index) {
+    return supportedInputStorageFormats_.getByteString(index);
+  }
+
+  public static final int SUPPORTED_OUTPUT_STORAGE_FORMATS_FIELD_NUMBER = 12;
+  private com.google.protobuf.LazyStringList supportedOutputStorageFormats_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+   * are returned together with their instances. In other words, the
+   * prediction has the original instance data first, followed
+   * by the actual prediction content (as per the schema).
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each prediction is a single line. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `csv`
+   * The CSV format, where each prediction is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `bigquery`
+   * Each prediction is a single row in a BigQuery table, uses
+   * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+   * .
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the supportedOutputStorageFormats.
+   */
+  public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsList() {
+    return supportedOutputStorageFormats_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+   * are returned together with their instances. In other words, the
+   * prediction has the original instance data first, followed
+   * by the actual prediction content (as per the schema).
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each prediction is a single line. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `csv`
+   * The CSV format, where each prediction is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `bigquery`
+   * Each prediction is a single row in a BigQuery table, uses
+   * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+   * .
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The count of supportedOutputStorageFormats.
+   */
+  public int getSupportedOutputStorageFormatsCount() {
+    return supportedOutputStorageFormats_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+   * are returned together with their instances. In other words, the
+   * prediction has the original instance data first, followed
+   * by the actual prediction content (as per the schema).
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each prediction is a single line. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `csv`
+   * The CSV format, where each prediction is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `bigquery`
+   * Each prediction is a single row in a BigQuery table, uses
+   * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+   * .
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The supportedOutputStorageFormats at the given index.
+   */
+  public java.lang.String getSupportedOutputStorageFormats(int index) {
+    return supportedOutputStorageFormats_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+   * are returned together with their instances. In other words, the
+   * prediction has the original instance data first, followed
+   * by the actual prediction content (as per the schema).
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each prediction is a single line. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `csv`
+   * The CSV format, where each prediction is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `bigquery`
+   * Each prediction is a single row in a BigQuery table, uses
+   * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+   * .
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the supportedOutputStorageFormats at the given index.
+   */
+  public com.google.protobuf.ByteString getSupportedOutputStorageFormatsBytes(int index) {
+    return supportedOutputStorageFormats_.getByteString(index);
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 13;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was uploaded into AI Platform.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was uploaded into AI Platform.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was uploaded into AI Platform.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 14;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int DEPLOYED_MODELS_FIELD_NUMBER = 15;
+  private java.util.List<com.google.cloud.aiplatform.v1.DeployedModelRef> deployedModels_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.DeployedModelRef> getDeployedModelsList() {
+    return deployedModels_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder>
+      getDeployedModelsOrBuilderList() {
+    return deployedModels_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getDeployedModelsCount() {
+    return deployedModels_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModelRef getDeployedModels(int index) {
+    return deployedModels_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder getDeployedModelsOrBuilder(
+      int index) {
+    return deployedModels_.get(index);
+  }
+
+  public static final int ETAG_FIELD_NUMBER = 16;
+  private volatile java.lang.Object etag_;
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 16;</code>
+   *
+   * @return The etag.
+   */
+  @java.lang.Override
+  public java.lang.String getEtag() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      etag_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 16;</code>
+   *
+   * @return The bytes for etag.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEtagBytes() {
+    java.lang.Object ref = etag_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      etag_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 17;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.ModelProto
+                .internal_static_google_cloud_aiplatform_v1_Model_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 24;
+  private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    getSerializedSize();
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (!getDescriptionBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, description_);
+    }
+    if (predictSchemata_ != null) {
+      output.writeMessage(4, getPredictSchemata());
+    }
+    if (!getMetadataSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 5, metadataSchemaUri_);
+    }
+    if (metadata_ != null) {
+      output.writeMessage(6, getMetadata());
+    }
+    if (!getTrainingPipelineBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 7, trainingPipeline_);
+    }
+    if (containerSpec_ != null) {
+      output.writeMessage(9, getContainerSpec());
+    }
+    if (getSupportedDeploymentResourcesTypesList().size() > 0) {
+      output.writeUInt32NoTag(82);
+      output.writeUInt32NoTag(supportedDeploymentResourcesTypesMemoizedSerializedSize);
+    }
+    for (int i = 0; i < supportedDeploymentResourcesTypes_.size(); i++) {
+      output.writeEnumNoTag(supportedDeploymentResourcesTypes_.get(i));
+    }
+    for (int i = 0; i < supportedInputStorageFormats_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(
+          output, 11, supportedInputStorageFormats_.getRaw(i));
+    }
+    for (int i = 0; i < supportedOutputStorageFormats_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(
+          output, 12, supportedOutputStorageFormats_.getRaw(i));
+    }
+    if (createTime_ != null) {
+      output.writeMessage(13, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(14, getUpdateTime());
+    }
+    for (int i = 0; i < deployedModels_.size(); i++) {
+      output.writeMessage(15, deployedModels_.get(i));
+    }
+    if (!getEtagBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 16, etag_);
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 17);
+    for (int i = 0; i < supportedExportFormats_.size(); i++) {
+      output.writeMessage(20, supportedExportFormats_.get(i));
+    }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(24, getEncryptionSpec());
+    }
+    if (!getArtifactUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 26, artifactUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (!getDescriptionBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, description_);
+    }
+    if (predictSchemata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getPredictSchemata());
+    }
+    if (!getMetadataSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, metadataSchemaUri_);
+    }
+    if (metadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(6, getMetadata());
+    }
+    if (!getTrainingPipelineBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(7, trainingPipeline_);
+    }
+    if (containerSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getContainerSpec());
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < supportedDeploymentResourcesTypes_.size(); i++) {
+        dataSize +=
+            com.google.protobuf.CodedOutputStream.computeEnumSizeNoTag(
+                supportedDeploymentResourcesTypes_.get(i));
+      }
+      size += dataSize;
+      if (!getSupportedDeploymentResourcesTypesList().isEmpty()) {
+        size += 1;
+        size += com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(dataSize);
+      }
+      supportedDeploymentResourcesTypesMemoizedSerializedSize = dataSize;
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < supportedInputStorageFormats_.size(); i++) {
+        dataSize += computeStringSizeNoTag(supportedInputStorageFormats_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getSupportedInputStorageFormatsList().size();
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < supportedOutputStorageFormats_.size(); i++) {
+        dataSize += computeStringSizeNoTag(supportedOutputStorageFormats_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getSupportedOutputStorageFormatsList().size();
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(13, getCreateTime());
+    }
+    if (updateTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(14, getUpdateTime());
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+        mergeCreateTime(other.getCreateTime());
+      }
+      if (other.hasUpdateTime()) {
+        mergeUpdateTime(other.getUpdateTime());
+      }
+      if (deployedModelsBuilder_ == null) {
+        if (!other.deployedModels_.isEmpty()) {
+          if (deployedModels_.isEmpty()) {
+            deployedModels_ = other.deployedModels_;
+            bitField0_ = (bitField0_ & ~0x00000010);
+          } else {
+            ensureDeployedModelsIsMutable();
+            deployedModels_.addAll(other.deployedModels_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.deployedModels_.isEmpty()) {
+          if (deployedModelsBuilder_.isEmpty()) {
+            deployedModelsBuilder_.dispose();
+            deployedModelsBuilder_ = null;
+            deployedModels_ = other.deployedModels_;
+            bitField0_ = (bitField0_ & ~0x00000010);
+            deployedModelsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getDeployedModelsFieldBuilder()
+                    : null;
+          } else {
+            deployedModelsBuilder_.addAllMessages(other.deployedModels_);
+          }
+        }
+      }
+      if (!other.getEtag().isEmpty()) {
+        etag_ = other.etag_;
+        onChanged();
+      }
+      internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.Model parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.Model) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The resource name of the Model.
+     * </pre>
+     *
+     * <code>string name = 1;</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource name of the Model.
+     * </pre>
+     *
+     * <code>string name = 1;</code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource name of the Model.
+     * </pre>
+     *
+     * <code>string name = 1;</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource name of the Model.
+     * </pre>
+     *
+     * <code>string name = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource name of the Model.
+     * </pre>
+     *
+     * <code>string name = 1;</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Model.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Model.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Model.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Model.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The display name of the Model.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object description_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Model.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @return The description.
+     */
+    public java.lang.String getDescription() {
+      java.lang.Object ref = description_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        description_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Model.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @return The bytes for description.
+     */
+    public com.google.protobuf.ByteString getDescriptionBytes() {
+      java.lang.Object ref = description_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        description_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Model.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @param value The description to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDescription(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      description_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Model.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDescription() {
+
+      description_ = getDefaultInstance().getDescription();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The description of the Model.
+     * </pre>
+     *
+     * <code>string description = 3;</code>
+     *
+     * @param value The bytes for description to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDescriptionBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      description_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.PredictSchemata predictSchemata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.PredictSchemata,
+            com.google.cloud.aiplatform.v1.PredictSchemata.Builder,
+            com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder>
+        predictSchemataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     *
+     * @return Whether the predictSchemata field is set.
+     */
+    public boolean hasPredictSchemata() {
+      return predictSchemataBuilder_ != null || predictSchemata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     *
+     * @return The predictSchemata.
+     */
+    public com.google.cloud.aiplatform.v1.PredictSchemata getPredictSchemata() {
+      if (predictSchemataBuilder_ == null) {
+        return predictSchemata_ == null
+            ? com.google.cloud.aiplatform.v1.PredictSchemata.getDefaultInstance()
+            : predictSchemata_;
+      } else {
+        return predictSchemataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     */
+    public Builder setPredictSchemata(com.google.cloud.aiplatform.v1.PredictSchemata value) {
+      if (predictSchemataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        predictSchemata_ = value;
+        onChanged();
+      } else {
+        predictSchemataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     */
+    public Builder setPredictSchemata(
+        com.google.cloud.aiplatform.v1.PredictSchemata.Builder builderForValue) {
+      if (predictSchemataBuilder_ == null) {
+        predictSchemata_ = builderForValue.build();
+        onChanged();
+      } else {
+        predictSchemataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     */
+    public Builder mergePredictSchemata(com.google.cloud.aiplatform.v1.PredictSchemata value) {
+      if (predictSchemataBuilder_ == null) {
+        if (predictSchemata_ != null) {
+          predictSchemata_ =
+              com.google.cloud.aiplatform.v1.PredictSchemata.newBuilder(predictSchemata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          predictSchemata_ = value;
+        }
+        onChanged();
+      } else {
+        predictSchemataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     */
+    public Builder clearPredictSchemata() {
+      if (predictSchemataBuilder_ == null) {
+        predictSchemata_ = null;
+        onChanged();
+      } else {
+        predictSchemata_ = null;
+        predictSchemataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.PredictSchemata.Builder getPredictSchemataBuilder() {
+
+      onChanged();
+      return getPredictSchemataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     */
+    public com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder getPredictSchemataOrBuilder() {
+      if (predictSchemataBuilder_ != null) {
+        return predictSchemataBuilder_.getMessageOrBuilder();
+      } else {
+        return predictSchemata_ == null
+            ? com.google.cloud.aiplatform.v1.PredictSchemata.getDefaultInstance()
+            : predictSchemata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The schemata that describe formats of the Model's predictions and
+     * explanations as given and returned via
+     * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.PredictSchemata,
+            com.google.cloud.aiplatform.v1.PredictSchemata.Builder,
+            com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder>
+        getPredictSchemataFieldBuilder() {
+      if (predictSchemataBuilder_ == null) {
+        predictSchemataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.PredictSchemata,
+                com.google.cloud.aiplatform.v1.PredictSchemata.Builder,
+                com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder>(
+                getPredictSchemata(), getParentForChildren(), isClean());
+        predictSchemata_ = null;
+      }
+      return predictSchemataBuilder_;
+    }
+
+    private java.lang.Object metadataSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Model, that is specific to it. Unset if the Model
+     * does not have any additional information.
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * additional metadata is needed, this field is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The metadataSchemaUri.
+     */
+    public java.lang.String getMetadataSchemaUri() {
+      java.lang.Object ref = metadataSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        metadataSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Model, that is specific to it. Unset if the Model
+     * does not have any additional information.
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * additional metadata is needed, this field is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for metadataSchemaUri.
+     */
+    public com.google.protobuf.ByteString getMetadataSchemaUriBytes() {
+      java.lang.Object ref = metadataSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        metadataSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Model, that is specific to it. Unset if the Model
+     * does not have any additional information.
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * additional metadata is needed, this field is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The metadataSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMetadataSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      metadataSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Model, that is specific to it. Unset if the Model
+     * does not have any additional information.
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * additional metadata is needed, this field is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMetadataSchemaUri() {
+
+      metadataSchemaUri_ = getDefaultInstance().getMetadataSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+     * information about the Model, that is specific to it. Unset if the Model
+     * does not have any additional information.
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * additional metadata is needed, this field is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for metadataSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMetadataSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      metadataSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Value metadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        metadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return Whether the metadata field is set.
+     */
+    public boolean hasMetadata() {
+      return metadataBuilder_ != null || metadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The metadata.
+     */
+    public com.google.protobuf.Value getMetadata() {
+      if (metadataBuilder_ == null) {
+        return metadata_ == null ? com.google.protobuf.Value.getDefaultInstance() : metadata_;
+      } else {
+        return metadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     */
+    public Builder setMetadata(com.google.protobuf.Value value) {
+      if (metadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metadata_ = value;
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     */
+    public Builder setMetadata(com.google.protobuf.Value.Builder builderForValue) {
+      if (metadataBuilder_ == null) {
+        metadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     */
+    public Builder mergeMetadata(com.google.protobuf.Value value) {
+      if (metadataBuilder_ == null) {
+        if (metadata_ != null) {
+          metadata_ =
+              com.google.protobuf.Value.newBuilder(metadata_).mergeFrom(value).buildPartial();
+        } else {
+          metadata_ = value;
+        }
+        onChanged();
+      } else {
+        metadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     */
+    public Builder clearMetadata() {
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+        onChanged();
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     */
+    public com.google.protobuf.Value.Builder getMetadataBuilder() {
+
+      onChanged();
+      return getMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder() {
+      if (metadataBuilder_ != null) {
+        return metadataBuilder_.getMessageOrBuilder();
+      } else {
+        return metadata_ == null ? com.google.protobuf.Value.getDefaultInstance() : metadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. An additional information about the Model; the schema of the metadata can
+     * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+     * Unset if the Model does not have any additional information.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getMetadataFieldBuilder() {
+      if (metadataBuilder_ == null) {
+        metadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getMetadata(), getParentForChildren(), isClean());
+        metadata_ = null;
+      }
+      return metadataBuilder_;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat>
+        supportedExportFormats_ = java.util.Collections.emptyList();
+
+    private void ensureSupportedExportFormatsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        supportedExportFormats_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.Model.ExportFormat>(
+                supportedExportFormats_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model.ExportFormat,
+            com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder,
+            com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder>
+        supportedExportFormatsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat>
+        getSupportedExportFormatsList() {
+      if (supportedExportFormatsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(supportedExportFormats_);
+      } else {
+        return supportedExportFormatsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getSupportedExportFormatsCount() {
+      if (supportedExportFormatsBuilder_ == null) {
+        return supportedExportFormats_.size();
+      } else {
+        return supportedExportFormatsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.ExportFormat getSupportedExportFormats(int index) {
+      if (supportedExportFormatsBuilder_ == null) {
+        return supportedExportFormats_.get(index);
+      } else {
+        return supportedExportFormatsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setSupportedExportFormats(
+        int index, com.google.cloud.aiplatform.v1.Model.ExportFormat value) {
+      if (supportedExportFormatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSupportedExportFormatsIsMutable();
+        supportedExportFormats_.set(index, value);
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setSupportedExportFormats(
+        int index, com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder builderForValue) {
+      if (supportedExportFormatsBuilder_ == null) {
+        ensureSupportedExportFormatsIsMutable();
+        supportedExportFormats_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addSupportedExportFormats(
+        com.google.cloud.aiplatform.v1.Model.ExportFormat value) {
+      if (supportedExportFormatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSupportedExportFormatsIsMutable();
+        supportedExportFormats_.add(value);
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addSupportedExportFormats(
+        int index, com.google.cloud.aiplatform.v1.Model.ExportFormat value) {
+      if (supportedExportFormatsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureSupportedExportFormatsIsMutable();
+        supportedExportFormats_.add(index, value);
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addSupportedExportFormats(
+        com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder builderForValue) {
+      if (supportedExportFormatsBuilder_ == null) {
+        ensureSupportedExportFormatsIsMutable();
+        supportedExportFormats_.add(builderForValue.build());
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addSupportedExportFormats(
+        int index, com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder builderForValue) {
+      if (supportedExportFormatsBuilder_ == null) {
+        ensureSupportedExportFormatsIsMutable();
+        supportedExportFormats_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllSupportedExportFormats(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Model.ExportFormat> values) {
+      if (supportedExportFormatsBuilder_ == null) {
+        ensureSupportedExportFormatsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, supportedExportFormats_);
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearSupportedExportFormats() {
+      if (supportedExportFormatsBuilder_ == null) {
+        supportedExportFormats_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removeSupportedExportFormats(int index) {
+      if (supportedExportFormatsBuilder_ == null) {
+        ensureSupportedExportFormatsIsMutable();
+        supportedExportFormats_.remove(index);
+        onChanged();
+      } else {
+        supportedExportFormatsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder
+        getSupportedExportFormatsBuilder(int index) {
+      return getSupportedExportFormatsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder
+        getSupportedExportFormatsOrBuilder(int index) {
+      if (supportedExportFormatsBuilder_ == null) {
+        return supportedExportFormats_.get(index);
+      } else {
+        return supportedExportFormatsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder>
+        getSupportedExportFormatsOrBuilderList() {
+      if (supportedExportFormatsBuilder_ != null) {
+        return supportedExportFormatsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(supportedExportFormats_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder
+        addSupportedExportFormatsBuilder() {
+      return getSupportedExportFormatsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Model.ExportFormat.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder
+        addSupportedExportFormatsBuilder(int index) {
+      return getSupportedExportFormatsFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.Model.ExportFormat.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats in which this Model may be exported. If empty, this Model is
+     * not available for export.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder>
+        getSupportedExportFormatsBuilderList() {
+      return getSupportedExportFormatsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model.ExportFormat,
+            com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder,
+            com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder>
+        getSupportedExportFormatsFieldBuilder() {
+      if (supportedExportFormatsBuilder_ == null) {
+        supportedExportFormatsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Model.ExportFormat,
+                com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder,
+                com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder>(
+                supportedExportFormats_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        supportedExportFormats_ = null;
+      }
+      return supportedExportFormatsBuilder_;
+    }
+
+    private java.lang.Object trainingPipeline_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+     * </pre>
+     *
+     * <code>
+     * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The trainingPipeline.
+     */
+    public java.lang.String getTrainingPipeline() {
+      java.lang.Object ref = trainingPipeline_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        trainingPipeline_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+     * </pre>
+     *
+     * <code>
+     * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for trainingPipeline.
+     */
+    public com.google.protobuf.ByteString getTrainingPipelineBytes() {
+      java.lang.Object ref = trainingPipeline_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        trainingPipeline_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+     * </pre>
+     *
+     * <code>
+     * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The trainingPipeline to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainingPipeline(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      trainingPipeline_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+     * </pre>
+     *
+     * <code>
+     * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTrainingPipeline() {
+
+      trainingPipeline_ = getDefaultInstance().getTrainingPipeline();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+     * </pre>
+     *
+     * <code>
+     * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for trainingPipeline to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainingPipelineBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      trainingPipeline_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.ModelContainerSpec containerSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ModelContainerSpec,
+            com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder,
+            com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder>
+        containerSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the containerSpec field is set.
+     */
+    public boolean hasContainerSpec() {
+      return containerSpecBuilder_ != null || containerSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     *
+     * @return The containerSpec.
+     */
+    public com.google.cloud.aiplatform.v1.ModelContainerSpec getContainerSpec() {
+      if (containerSpecBuilder_ == null) {
+        return containerSpec_ == null
+            ? com.google.cloud.aiplatform.v1.ModelContainerSpec.getDefaultInstance()
+            : containerSpec_;
+      } else {
+        return containerSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     */
+    public Builder setContainerSpec(com.google.cloud.aiplatform.v1.ModelContainerSpec value) {
+      if (containerSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        containerSpec_ = value;
+        onChanged();
+      } else {
+        containerSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     */
+    public Builder setContainerSpec(
+        com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder builderForValue) {
+      if (containerSpecBuilder_ == null) {
+        containerSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        containerSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeContainerSpec(com.google.cloud.aiplatform.v1.ModelContainerSpec value) {
+      if (containerSpecBuilder_ == null) {
+        if (containerSpec_ != null) {
+          containerSpec_ =
+              com.google.cloud.aiplatform.v1.ModelContainerSpec.newBuilder(containerSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          containerSpec_ = value;
+        }
+        onChanged();
+      } else {
+        containerSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     */
+    public Builder clearContainerSpec() {
+      if (containerSpecBuilder_ == null) {
+        containerSpec_ = null;
+        onChanged();
+      } else {
+        containerSpec_ = null;
+        containerSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder getContainerSpecBuilder() {
+
+      onChanged();
+      return getContainerSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder getContainerSpecOrBuilder() {
+      if (containerSpecBuilder_ != null) {
+        return containerSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return containerSpec_ == null
+            ? com.google.cloud.aiplatform.v1.ModelContainerSpec.getDefaultInstance()
+            : containerSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Input only. The specification of the container that is to be used when deploying
+     * this Model. The specification is ingested upon
+     * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+     * and stored internally by AI Platform.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ModelContainerSpec,
+            com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder,
+            com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder>
+        getContainerSpecFieldBuilder() {
+      if (containerSpecBuilder_ == null) {
+        containerSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ModelContainerSpec,
+                com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder,
+                com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder>(
+                getContainerSpec(), getParentForChildren(), isClean());
+        containerSpec_ = null;
+      }
+      return containerSpecBuilder_;
+    }
+
+    private java.lang.Object artifactUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The path to the directory containing the Model artifact and any of its
+     * supporting files.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The artifactUri.
+     */
+    public java.lang.String getArtifactUri() {
+      java.lang.Object ref = artifactUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        artifactUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The path to the directory containing the Model artifact and any of its
+     * supporting files.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for artifactUri.
+     */
+    public com.google.protobuf.ByteString getArtifactUriBytes() {
+      java.lang.Object ref = artifactUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        artifactUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The path to the directory containing the Model artifact and any of its
+     * supporting files.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The artifactUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setArtifactUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      artifactUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The path to the directory containing the Model artifact and any of its
+     * supporting files.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearArtifactUri() {
+
+      artifactUri_ = getDefaultInstance().getArtifactUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. The path to the directory containing the Model artifact and any of its
+     * supporting files.
+     * Not present for AutoML Models.
+     * </pre>
+     *
+     * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for artifactUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setArtifactUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      artifactUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<java.lang.Integer> supportedDeploymentResourcesTypes_ =
+        java.util.Collections.emptyList();
+
+    private void ensureSupportedDeploymentResourcesTypesIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        supportedDeploymentResourcesTypes_ =
+            new java.util.ArrayList<java.lang.Integer>(supportedDeploymentResourcesTypes_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the supportedDeploymentResourcesTypes.
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType>
+        getSupportedDeploymentResourcesTypesList() {
+      return new com.google.protobuf.Internal.ListAdapter<
+          java.lang.Integer, com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType>(
+          supportedDeploymentResourcesTypes_, supportedDeploymentResourcesTypes_converter_);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The count of supportedDeploymentResourcesTypes.
+     */
+    public int getSupportedDeploymentResourcesTypesCount() {
+      return supportedDeploymentResourcesTypes_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the element to return.
+     * @return The supportedDeploymentResourcesTypes at the given index.
+     */
+    public com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType
+        getSupportedDeploymentResourcesTypes(int index) {
+      return supportedDeploymentResourcesTypes_converter_.convert(
+          supportedDeploymentResourcesTypes_.get(index));
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index to set the value at.
+     * @param value The supportedDeploymentResourcesTypes to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSupportedDeploymentResourcesTypes(
+        int index, com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSupportedDeploymentResourcesTypesIsMutable();
+      supportedDeploymentResourcesTypes_.set(index, value.getNumber());
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The supportedDeploymentResourcesTypes to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSupportedDeploymentResourcesTypes(
+        com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSupportedDeploymentResourcesTypesIsMutable();
+      supportedDeploymentResourcesTypes_.add(value.getNumber());
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param values The supportedDeploymentResourcesTypes to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllSupportedDeploymentResourcesTypes(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType>
+            values) {
+      ensureSupportedDeploymentResourcesTypesIsMutable();
+      for (com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType value : values) {
+        supportedDeploymentResourcesTypes_.add(value.getNumber());
+      }
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSupportedDeploymentResourcesTypes() {
+      supportedDeploymentResourcesTypes_ = java.util.Collections.emptyList();
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the enum numeric values on the wire for
+     *     supportedDeploymentResourcesTypes.
+     */
+    public java.util.List<java.lang.Integer> getSupportedDeploymentResourcesTypesValueList() {
+      return java.util.Collections.unmodifiableList(supportedDeploymentResourcesTypes_);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The enum numeric value on the wire of supportedDeploymentResourcesTypes at the given
+     *     index.
+     */
+    public int getSupportedDeploymentResourcesTypesValue(int index) {
+      return supportedDeploymentResourcesTypes_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The enum numeric value on the wire of supportedDeploymentResourcesTypes at the given
+     *     index.
+     * @return This builder for chaining.
+     */
+    public Builder setSupportedDeploymentResourcesTypesValue(int index, int value) {
+      ensureSupportedDeploymentResourcesTypesIsMutable();
+      supportedDeploymentResourcesTypes_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for supportedDeploymentResourcesTypes to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSupportedDeploymentResourcesTypesValue(int value) {
+      ensureSupportedDeploymentResourcesTypesIsMutable();
+      supportedDeploymentResourcesTypes_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. When this Model is deployed, its prediction resources are described by the
+     * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+     * Because not all Models support all resource configuration types, the
+     * configuration types this Model supports are listed here. If no
+     * configuration types are listed, the Model cannot be deployed to an
+     * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+     * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][]). Such a Model can serve predictions by
+     * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+     * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+     * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param values The enum numeric values on the wire for supportedDeploymentResourcesTypes to
+     *     add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllSupportedDeploymentResourcesTypesValue(
+        java.lang.Iterable<java.lang.Integer> values) {
+      ensureSupportedDeploymentResourcesTypesIsMutable();
+      for (int value : values) {
+        supportedDeploymentResourcesTypes_.add(value);
+      }
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList supportedInputStorageFormats_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureSupportedInputStorageFormatsIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        supportedInputStorageFormats_ =
+            new com.google.protobuf.LazyStringArrayList(supportedInputStorageFormats_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the supportedInputStorageFormats.
+     */
+    public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsList() {
+      return supportedInputStorageFormats_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The count of supportedInputStorageFormats.
+     */
+    public int getSupportedInputStorageFormatsCount() {
+      return supportedInputStorageFormats_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the element to return.
+     * @return The supportedInputStorageFormats at the given index.
+     */
+    public java.lang.String getSupportedInputStorageFormats(int index) {
+      return supportedInputStorageFormats_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the supportedInputStorageFormats at the given index.
+     */
+    public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int index) {
+      return supportedInputStorageFormats_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index to set the value at.
+     * @param value The supportedInputStorageFormats to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSupportedInputStorageFormats(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSupportedInputStorageFormatsIsMutable();
+      supportedInputStorageFormats_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The supportedInputStorageFormats to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSupportedInputStorageFormats(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSupportedInputStorageFormatsIsMutable();
+      supportedInputStorageFormats_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param values The supportedInputStorageFormats to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllSupportedInputStorageFormats(java.lang.Iterable<java.lang.String> values) {
+      ensureSupportedInputStorageFormatsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, supportedInputStorageFormats_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSupportedInputStorageFormats() {
+      supportedInputStorageFormats_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000004);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+     * should be given as per that schema.
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each instance is a single line. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `csv`
+     * The CSV format, where each instance is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record`
+     * The TFRecord format, where each instance is a single record in tfrecord
+     * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `tf-record-gzip`
+     * Similar to `tf-record`, but the file is gzipped. Uses
+     * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+     * * `bigquery`
+     * Each instance is a single row in BigQuery. Uses
+     * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The bytes of the supportedInputStorageFormats to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSupportedInputStorageFormatsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureSupportedInputStorageFormatsIsMutable();
+      supportedInputStorageFormats_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList supportedOutputStorageFormats_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureSupportedOutputStorageFormatsIsMutable() {
+      if (!((bitField0_ & 0x00000008) != 0)) {
+        supportedOutputStorageFormats_ =
+            new com.google.protobuf.LazyStringArrayList(supportedOutputStorageFormats_);
+        bitField0_ |= 0x00000008;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the supportedOutputStorageFormats.
+     */
+    public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsList() {
+      return supportedOutputStorageFormats_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The count of supportedOutputStorageFormats.
+     */
+    public int getSupportedOutputStorageFormatsCount() {
+      return supportedOutputStorageFormats_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the element to return.
+     * @return The supportedOutputStorageFormats at the given index.
+     */
+    public java.lang.String getSupportedOutputStorageFormats(int index) {
+      return supportedOutputStorageFormats_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the supportedOutputStorageFormats at the given index.
+     */
+    public com.google.protobuf.ByteString getSupportedOutputStorageFormatsBytes(int index) {
+      return supportedOutputStorageFormats_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index to set the value at.
+     * @param value The supportedOutputStorageFormats to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSupportedOutputStorageFormats(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSupportedOutputStorageFormatsIsMutable();
+      supportedOutputStorageFormats_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The supportedOutputStorageFormats to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSupportedOutputStorageFormats(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSupportedOutputStorageFormatsIsMutable();
+      supportedOutputStorageFormats_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param values The supportedOutputStorageFormats to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllSupportedOutputStorageFormats(
+        java.lang.Iterable<java.lang.String> values) {
+      ensureSupportedOutputStorageFormatsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(
+          values, supportedOutputStorageFormats_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSupportedOutputStorageFormats() {
+      supportedOutputStorageFormats_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000008);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The formats this Model supports in
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+     * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+     * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+     * are returned together with their instances. In other words, the
+     * prediction has the original instance data first, followed
+     * by the actual prediction content (as per the schema).
+     * The possible formats are:
+     * * `jsonl`
+     * The JSON Lines format, where each prediction is a single line. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `csv`
+     * The CSV format, where each prediction is a single comma-separated line.
+     * The first line in the file is the header, containing comma-separated field
+     * names. Uses
+     * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+     * * `bigquery`
+     * Each prediction is a single row in a BigQuery table, uses
+     * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+     * .
+     * If this Model doesn't support any of these formats it means it cannot be
+     * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+     * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+     * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+     * [PredictionService.Explain][].
+     * </pre>
+     *
+     * <code>
+     * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The bytes of the supportedOutputStorageFormats to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSupportedOutputStorageFormatsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureSupportedOutputStorageFormatsIsMutable();
+      supportedOutputStorageFormats_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was uploaded into AI Platform.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this Model was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.DeployedModelRef> deployedModels_ =
+        java.util.Collections.emptyList();
+
+    private void ensureDeployedModelsIsMutable() {
+      if (!((bitField0_ & 0x00000010) != 0)) {
+        deployedModels_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.DeployedModelRef>(
+                deployedModels_);
+        bitField0_ |= 0x00000010;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DeployedModelRef,
+            com.google.cloud.aiplatform.v1.DeployedModelRef.Builder,
+            com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder>
+        deployedModelsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.DeployedModelRef> getDeployedModelsList() {
+      if (deployedModelsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(deployedModels_);
+      } else {
+        return deployedModelsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getDeployedModelsCount() {
+      if (deployedModelsBuilder_ == null) {
+        return deployedModels_.size();
+      } else {
+        return deployedModelsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModelRef getDeployedModels(int index) {
+      if (deployedModelsBuilder_ == null) {
+        return deployedModels_.get(index);
+      } else {
+        return deployedModelsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setDeployedModels(
+        int index, com.google.cloud.aiplatform.v1.DeployedModelRef value) {
+      if (deployedModelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDeployedModelsIsMutable();
+        deployedModels_.set(index, value);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setDeployedModels(
+        int index, com.google.cloud.aiplatform.v1.DeployedModelRef.Builder builderForValue) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        deployedModels_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        deployedModelsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addDeployedModels(com.google.cloud.aiplatform.v1.DeployedModelRef value) {
+      if (deployedModelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDeployedModelsIsMutable();
+        deployedModels_.add(value);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addDeployedModels(
+        int index, com.google.cloud.aiplatform.v1.DeployedModelRef value) {
+      if (deployedModelsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureDeployedModelsIsMutable();
+        deployedModels_.add(index, value);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addDeployedModels(
+        com.google.cloud.aiplatform.v1.DeployedModelRef.Builder builderForValue) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        deployedModels_.add(builderForValue.build());
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addDeployedModels(
+        int index, com.google.cloud.aiplatform.v1.DeployedModelRef.Builder builderForValue) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        deployedModels_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllDeployedModels(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.DeployedModelRef> values) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, deployedModels_);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearDeployedModels() {
+      if (deployedModelsBuilder_ == null) {
+        deployedModels_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000010);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removeDeployedModels(int index) {
+      if (deployedModelsBuilder_ == null) {
+        ensureDeployedModelsIsMutable();
+        deployedModels_.remove(index);
+        onChanged();
+      } else {
+        deployedModelsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModelRef.Builder getDeployedModelsBuilder(
+        int index) {
+      return getDeployedModelsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder getDeployedModelsOrBuilder(
+        int index) {
+      if (deployedModelsBuilder_ == null) {
+        return deployedModels_.get(index);
+      } else {
+        return deployedModelsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder>
+        getDeployedModelsOrBuilderList() {
+      if (deployedModelsBuilder_ != null) {
+        return deployedModelsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(deployedModels_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModelRef.Builder addDeployedModelsBuilder() {
+      return getDeployedModelsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.DeployedModelRef.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DeployedModelRef.Builder addDeployedModelsBuilder(
+        int index) {
+      return getDeployedModelsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.DeployedModelRef.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The pointers to DeployedModels created from this Model. Note that
+     * Model could have been deployed to Endpoints in different Locations.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.DeployedModelRef.Builder>
+        getDeployedModelsBuilderList() {
+      return getDeployedModelsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DeployedModelRef,
+            com.google.cloud.aiplatform.v1.DeployedModelRef.Builder,
+            com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder>
+        getDeployedModelsFieldBuilder() {
+      if (deployedModelsBuilder_ == null) {
+        deployedModelsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DeployedModelRef,
+                com.google.cloud.aiplatform.v1.DeployedModelRef.Builder,
+                com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder>(
+                deployedModels_,
+                ((bitField0_ & 0x00000010) != 0),
+                getParentForChildren(),
+                isClean());
+        deployedModels_ = null;
+      }
+      return deployedModelsBuilder_;
+    }
+
+    private java.lang.Object etag_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 16;</code>
+     *
+     * @return The etag.
+     */
+    public java.lang.String getEtag() {
+      java.lang.Object ref = etag_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        etag_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 16;</code>
+     *
+     * @return The bytes for etag.
+     */
+    public com.google.protobuf.ByteString getEtagBytes() {
+      java.lang.Object ref = etag_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        etag_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 16;</code>
+     *
+     * @param value The etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtag(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 16;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEtag() {
+
+      etag_ = getDefaultInstance().getEtag();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Used to perform consistent read-modify-write updates. If not set, a blind
+     * "overwrite" update happens.
+     * </pre>
+     *
+     * <code>string etag = 16;</code>
+     *
+     * @param value The bytes for etag to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEtagBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      etag_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Models.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 17;</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Models.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 17;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Models.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 17;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Models.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 17;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Models.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 17;</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Models.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 17;</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize your Models.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 17;</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Model)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Model)
+  private static final com.google.cloud.aiplatform.v1.Model DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Model();
+  }
+
+  public static com.google.cloud.aiplatform.v1.Model getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<Model> PARSER =
+      new com.google.protobuf.AbstractParser<Model>() {
+        @java.lang.Override
+        public Model parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Model(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<Model> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<Model> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Model getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpec.java
new file mode 100644
index 000000000..1a9929444
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpec.java
@@ -0,0 +1,4655 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Specification of a container for serving predictions. This message is a
+ * subset of the Kubernetes Container v1 core
+ * [specification](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ModelContainerSpec}
+ */
+public final class ModelContainerSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ModelContainerSpec)
+    ModelContainerSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ModelContainerSpec.newBuilder() to construct.
+  private ModelContainerSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ModelContainerSpec() {
+    imageUri_ = "";
+    command_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    args_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    env_ = java.util.Collections.emptyList();
+    ports_ = java.util.Collections.emptyList();
+    predictRoute_ = "";
+    healthRoute_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ModelContainerSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ModelContainerSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              imageUri_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                command_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              command_.add(s);
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                args_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              args_.add(s);
+              break;
+            }
+          case 34:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                env_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.EnvVar>();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              env_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EnvVar.parser(), extensionRegistry));
+              break;
+            }
+          case 42:
+            {
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                ports_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Port>();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              ports_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Port.parser(), extensionRegistry));
+              break;
+            }
+          case 50:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              predictRoute_ = s;
+              break;
+            }
+          case 58:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              healthRoute_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        command_ = command_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        args_ = args_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        env_ = java.util.Collections.unmodifiableList(env_);
+      }
+      if (((mutable_bitField0_ & 0x00000008) != 0)) {
+        ports_ = java.util.Collections.unmodifiableList(ports_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelProto
+        .internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelProto
+        .internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ModelContainerSpec.class,
+            com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder.class);
+  }
+
+  public static final int IMAGE_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object imageUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+   * predictions. This URI must identify an image in Artifact Registry or
+   * Container Registry. Learn more about the container publishing
+   * requirements, including permissions requirements for the AI Platform
+   * Service Agent,
+   * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+   * internally, and this original path is afterwards not used.
+   * To learn about the requirements for the Docker image itself, see
+   * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+   * </pre>
+   *
+   * <code>
+   * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The imageUri.
+   */
+  @java.lang.Override
+  public java.lang.String getImageUri() {
+    java.lang.Object ref = imageUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      imageUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+   * predictions. This URI must identify an image in Artifact Registry or
+   * Container Registry. Learn more about the container publishing
+   * requirements, including permissions requirements for the AI Platform
+   * Service Agent,
+   * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+   * internally, and this original path is afterwards not used.
+   * To learn about the requirements for the Docker image itself, see
+   * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+   * </pre>
+   *
+   * <code>
+   * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The bytes for imageUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getImageUriBytes() {
+    java.lang.Object ref = imageUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      imageUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int COMMAND_FIELD_NUMBER = 2;
+  private com.google.protobuf.LazyStringList command_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies the command that runs when the container starts. This overrides
+   * the container's
+   * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+   * Specify this field as an array of executable and arguments, similar to a
+   * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+   * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+   * if either exists. If this field is not specified and the container does not
+   * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+   * `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * If you specify this field, then you can also specify the `args` field to
+   * provide additional arguments for this command. However, if you specify this
+   * field, then the container's `CMD` is ignored. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `command` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return A list containing the command.
+   */
+  public com.google.protobuf.ProtocolStringList getCommandList() {
+    return command_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies the command that runs when the container starts. This overrides
+   * the container's
+   * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+   * Specify this field as an array of executable and arguments, similar to a
+   * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+   * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+   * if either exists. If this field is not specified and the container does not
+   * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+   * `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * If you specify this field, then you can also specify the `args` field to
+   * provide additional arguments for this command. However, if you specify this
+   * field, then the container's `CMD` is ignored. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `command` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The count of command.
+   */
+  public int getCommandCount() {
+    return command_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies the command that runs when the container starts. This overrides
+   * the container's
+   * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+   * Specify this field as an array of executable and arguments, similar to a
+   * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+   * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+   * if either exists. If this field is not specified and the container does not
+   * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+   * `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * If you specify this field, then you can also specify the `args` field to
+   * provide additional arguments for this command. However, if you specify this
+   * field, then the container's `CMD` is ignored. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `command` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The command at the given index.
+   */
+  public java.lang.String getCommand(int index) {
+    return command_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies the command that runs when the container starts. This overrides
+   * the container's
+   * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+   * Specify this field as an array of executable and arguments, similar to a
+   * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+   * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+   * if either exists. If this field is not specified and the container does not
+   * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+   * `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * If you specify this field, then you can also specify the `args` field to
+   * provide additional arguments for this command. However, if you specify this
+   * field, then the container's `CMD` is ignored. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `command` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the command at the given index.
+   */
+  public com.google.protobuf.ByteString getCommandBytes(int index) {
+    return command_.getByteString(index);
+  }
+
+  public static final int ARGS_FIELD_NUMBER = 3;
+  private com.google.protobuf.LazyStringList args_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies arguments for the command that runs when the container starts.
+   * This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form.
+   * If you don't specify this field but do specify the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+   * `command` field runs without any additional arguments. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * If you don't specify this field and don't specify the `command` field,
+   * then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `args` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return A list containing the args.
+   */
+  public com.google.protobuf.ProtocolStringList getArgsList() {
+    return args_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies arguments for the command that runs when the container starts.
+   * This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form.
+   * If you don't specify this field but do specify the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+   * `command` field runs without any additional arguments. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * If you don't specify this field and don't specify the `command` field,
+   * then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `args` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The count of args.
+   */
+  public int getArgsCount() {
+    return args_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies arguments for the command that runs when the container starts.
+   * This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form.
+   * If you don't specify this field but do specify the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+   * `command` field runs without any additional arguments. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * If you don't specify this field and don't specify the `command` field,
+   * then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `args` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The args at the given index.
+   */
+  public java.lang.String getArgs(int index) {
+    return args_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies arguments for the command that runs when the container starts.
+   * This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form.
+   * If you don't specify this field but do specify the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+   * `command` field runs without any additional arguments. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * If you don't specify this field and don't specify the `command` field,
+   * then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `args` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the args at the given index.
+   */
+  public com.google.protobuf.ByteString getArgsBytes(int index) {
+    return args_.getByteString(index);
+  }
+
+  public static final int ENV_FIELD_NUMBER = 4;
+  private java.util.List<com.google.cloud.aiplatform.v1.EnvVar> env_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList() {
+    return env_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+      getEnvOrBuilderList() {
+    return env_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public int getEnvCount() {
+    return env_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EnvVar getEnv(int index) {
+    return env_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index) {
+    return env_.get(index);
+  }
+
+  public static final int PORTS_FIELD_NUMBER = 5;
+  private java.util.List<com.google.cloud.aiplatform.v1.Port> ports_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Port> getPortsList() {
+    return ports_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.PortOrBuilder>
+      getPortsOrBuilderList() {
+    return ports_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public int getPortsCount() {
+    return ports_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Port getPorts(int index) {
+    return ports_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PortOrBuilder getPortsOrBuilder(int index) {
+    return ports_.get(index);
+  }
+
+  public static final int PREDICT_ROUTE_FIELD_NUMBER = 6;
+  private volatile java.lang.Object predictRoute_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+   * forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+   * path on the container's IP address and port. AI Platform then returns the
+   * container's response in the API response.
+   * For example, if you set this field to `/foo`, then when AI Platform
+   * receives a prediction request, it forwards the request body in a POST
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
+   * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+   * If you don't specify this field, it defaults to the following value when
+   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+   * The placeholders in this value are replaced as follows:
+   * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+   *   Endpoint.name][] field of the Endpoint where this Model has been
+   *   deployed. (AI Platform makes this value available to your container code
+   *   as the
+   *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *  environment variable.)
+   * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   *   (AI Platform makes this value available to your container code
+   *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+   *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+   * </pre>
+   *
+   * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The predictRoute.
+   */
+  @java.lang.Override
+  public java.lang.String getPredictRoute() {
+    java.lang.Object ref = predictRoute_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      predictRoute_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+   * forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+   * path on the container's IP address and port. AI Platform then returns the
+   * container's response in the API response.
+   * For example, if you set this field to `/foo`, then when AI Platform
+   * receives a prediction request, it forwards the request body in a POST
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
+   * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+   * If you don't specify this field, it defaults to the following value when
+   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+   * The placeholders in this value are replaced as follows:
+   * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+   *   Endpoint.name][] field of the Endpoint where this Model has been
+   *   deployed. (AI Platform makes this value available to your container code
+   *   as the
+   *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *  environment variable.)
+   * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   *   (AI Platform makes this value available to your container code
+   *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+   *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+   * </pre>
+   *
+   * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for predictRoute.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getPredictRouteBytes() {
+    java.lang.Object ref = predictRoute_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      predictRoute_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int HEALTH_ROUTE_FIELD_NUMBER = 7;
+  private volatile java.lang.Object healthRoute_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. HTTP path on the container to send health checks to. AI Platform
+   * intermittently sends GET requests to this path on the container's IP
+   * address and port to check that the container is healthy. Read more about
+   * [health
+   * checks](https://tinyurl.com/cust-cont-reqs#checks).
+   * For example, if you set this field to `/bar`, then AI Platform
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
+   * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+   * If you don't specify this field, it defaults to the following value when
+   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+   * The placeholders in this value are replaced as follows:
+   * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+   *   Endpoint.name][] field of the Endpoint where this Model has been
+   *   deployed. (AI Platform makes this value available to your container code
+   *   as the
+   *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *   environment variable.)
+   * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   *   (AI Platform makes this value available to your container code as the
+   * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *   environment variable.)
+   * </pre>
+   *
+   * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The healthRoute.
+   */
+  @java.lang.Override
+  public java.lang.String getHealthRoute() {
+    java.lang.Object ref = healthRoute_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      healthRoute_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. HTTP path on the container to send health checks to. AI Platform
+   * intermittently sends GET requests to this path on the container's IP
+   * address and port to check that the container is healthy. Read more about
+   * [health
+   * checks](https://tinyurl.com/cust-cont-reqs#checks).
+   * For example, if you set this field to `/bar`, then AI Platform
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
+   * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+   * If you don't specify this field, it defaults to the following value when
+   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+   * The placeholders in this value are replaced as follows:
+   * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+   *   Endpoint.name][] field of the Endpoint where this Model has been
+   *   deployed. (AI Platform makes this value available to your container code
+   *   as the
+   *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *   environment variable.)
+   * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   *   (AI Platform makes this value available to your container code as the
+   * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *   environment variable.)
+   * </pre>
+   *
+   * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for healthRoute.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getHealthRouteBytes() {
+    java.lang.Object ref = healthRoute_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      healthRoute_ = b;
+      return b;
+    } else {
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+  @java.lang.Override
+  public final boolean isInitialized() {
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+    if (isInitialized == 1) return true;
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+
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+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ModelContainerSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ModelContainerSpec other =
+        (com.google.cloud.aiplatform.v1.ModelContainerSpec) obj;
+
+    if (!getImageUri().equals(other.getImageUri())) return false;
+    if (!getCommandList().equals(other.getCommandList())) return false;
+    if (!getArgsList().equals(other.getArgsList())) return false;
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+    if (!getPortsList().equals(other.getPortsList())) return false;
+    if (!getPredictRoute().equals(other.getPredictRoute())) return false;
+    if (!getHealthRoute().equals(other.getHealthRoute())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
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+      hash = (53 * hash) + getArgsList().hashCode();
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+    return hash;
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+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ModelContainerSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Specification of a container for serving predictions. This message is a
+   * subset of the Kubernetes Container v1 core
+   * [specification](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ModelContainerSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ModelContainerSpec)
+      com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+              com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ModelContainerSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
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+    private void maybeForceBuilderInitialization() {
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+        getPortsFieldBuilder();
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+    public Builder clear() {
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+      command_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
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+        bitField0_ = (bitField0_ & ~0x00000008);
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+      }
+      predictRoute_ = "";
+
+      healthRoute_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ModelContainerSpec getDefaultInstanceForType() {
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+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ModelContainerSpec build() {
+      com.google.cloud.aiplatform.v1.ModelContainerSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ModelContainerSpec buildPartial() {
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+      return result;
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+    public Builder clone() {
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+    public Builder mergeFrom(com.google.protobuf.Message other) {
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+        return this;
+      }
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+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ModelContainerSpec other) {
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+          if (ports_.isEmpty()) {
+            ports_ = other.ports_;
+            bitField0_ = (bitField0_ & ~0x00000008);
+          } else {
+            ensurePortsIsMutable();
+            ports_.addAll(other.ports_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.ports_.isEmpty()) {
+          if (portsBuilder_.isEmpty()) {
+            portsBuilder_.dispose();
+            portsBuilder_ = null;
+            ports_ = other.ports_;
+            bitField0_ = (bitField0_ & ~0x00000008);
+            portsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getPortsFieldBuilder()
+                    : null;
+          } else {
+            portsBuilder_.addAllMessages(other.ports_);
+          }
+        }
+      }
+      if (!other.getPredictRoute().isEmpty()) {
+        predictRoute_ = other.predictRoute_;
+        onChanged();
+      }
+      if (!other.getHealthRoute().isEmpty()) {
+        healthRoute_ = other.healthRoute_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ModelContainerSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ModelContainerSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object imageUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+     * predictions. This URI must identify an image in Artifact Registry or
+     * Container Registry. Learn more about the container publishing
+     * requirements, including permissions requirements for the AI Platform
+     * Service Agent,
+     * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+     * internally, and this original path is afterwards not used.
+     * To learn about the requirements for the Docker image itself, see
+     * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+     * </pre>
+     *
+     * <code>
+     * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The imageUri.
+     */
+    public java.lang.String getImageUri() {
+      java.lang.Object ref = imageUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        imageUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+     * predictions. This URI must identify an image in Artifact Registry or
+     * Container Registry. Learn more about the container publishing
+     * requirements, including permissions requirements for the AI Platform
+     * Service Agent,
+     * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+     * internally, and this original path is afterwards not used.
+     * To learn about the requirements for the Docker image itself, see
+     * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+     * </pre>
+     *
+     * <code>
+     * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The bytes for imageUri.
+     */
+    public com.google.protobuf.ByteString getImageUriBytes() {
+      java.lang.Object ref = imageUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        imageUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+     * predictions. This URI must identify an image in Artifact Registry or
+     * Container Registry. Learn more about the container publishing
+     * requirements, including permissions requirements for the AI Platform
+     * Service Agent,
+     * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+     * internally, and this original path is afterwards not used.
+     * To learn about the requirements for the Docker image itself, see
+     * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+     * </pre>
+     *
+     * <code>
+     * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @param value The imageUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setImageUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      imageUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+     * predictions. This URI must identify an image in Artifact Registry or
+     * Container Registry. Learn more about the container publishing
+     * requirements, including permissions requirements for the AI Platform
+     * Service Agent,
+     * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+     * internally, and this original path is afterwards not used.
+     * To learn about the requirements for the Docker image itself, see
+     * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+     * </pre>
+     *
+     * <code>
+     * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearImageUri() {
+
+      imageUri_ = getDefaultInstance().getImageUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+     * predictions. This URI must identify an image in Artifact Registry or
+     * Container Registry. Learn more about the container publishing
+     * requirements, including permissions requirements for the AI Platform
+     * Service Agent,
+     * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+     * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+     * internally, and this original path is afterwards not used.
+     * To learn about the requirements for the Docker image itself, see
+     * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+     * </pre>
+     *
+     * <code>
+     * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @param value The bytes for imageUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setImageUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      imageUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList command_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureCommandIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        command_ = new com.google.protobuf.LazyStringArrayList(command_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return A list containing the command.
+     */
+    public com.google.protobuf.ProtocolStringList getCommandList() {
+      return command_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The count of command.
+     */
+    public int getCommandCount() {
+      return command_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param index The index of the element to return.
+     * @return The command at the given index.
+     */
+    public java.lang.String getCommand(int index) {
+      return command_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the command at the given index.
+     */
+    public com.google.protobuf.ByteString getCommandBytes(int index) {
+      return command_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The command to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCommand(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureCommandIsMutable();
+      command_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The command to add.
+     * @return This builder for chaining.
+     */
+    public Builder addCommand(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureCommandIsMutable();
+      command_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param values The command to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllCommand(java.lang.Iterable<java.lang.String> values) {
+      ensureCommandIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, command_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearCommand() {
+      command_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies the command that runs when the container starts. This overrides
+     * the container's
+     * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+     * Specify this field as an array of executable and arguments, similar to a
+     * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+     * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+     * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+     * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+     * if either exists. If this field is not specified and the container does not
+     * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+     * `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * If you specify this field, then you can also specify the `args` field to
+     * provide additional arguments for this command. However, if you specify this
+     * field, then the container's `CMD` is ignored. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `command` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes of the command to add.
+     * @return This builder for chaining.
+     */
+    public Builder addCommandBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureCommandIsMutable();
+      command_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList args_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureArgsIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        args_ = new com.google.protobuf.LazyStringArrayList(args_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return A list containing the args.
+     */
+    public com.google.protobuf.ProtocolStringList getArgsList() {
+      return args_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The count of args.
+     */
+    public int getArgsCount() {
+      return args_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param index The index of the element to return.
+     * @return The args at the given index.
+     */
+    public java.lang.String getArgs(int index) {
+      return args_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the args at the given index.
+     */
+    public com.google.protobuf.ByteString getArgsBytes(int index) {
+      return args_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The args to set.
+     * @return This builder for chaining.
+     */
+    public Builder setArgs(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureArgsIsMutable();
+      args_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addArgs(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureArgsIsMutable();
+      args_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param values The args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllArgs(java.lang.Iterable<java.lang.String> values) {
+      ensureArgsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, args_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearArgs() {
+      args_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Specifies arguments for the command that runs when the container starts.
+     * This overrides the container's
+     * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+     * this field as an array of executable and arguments, similar to a Docker
+     * `CMD`'s "default parameters" form.
+     * If you don't specify this field but do specify the
+     * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+     * `command` field runs without any additional arguments. See the
+     * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+     * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+     * `CMD`.
+     * If you don't specify this field and don't specify the `command` field,
+     * then the container's
+     * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+     * `CMD` determine what runs based on their default behavior. See the Docker
+     * documentation about how `CMD` and `ENTRYPOINT`
+     * [interact](https://tinyurl.com/h3kdcgs).
+     * In this field, you can reference environment variables
+     * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+     * You cannot reference environment variables set in the Docker image. In
+     * order for environment variables to be expanded, reference them by using the
+     * following syntax:
+     * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * Note that this differs from Bash variable expansion, which does not use
+     * parentheses. If a variable cannot be resolved, the reference in the input
+     * string is used unchanged. To avoid variable expansion, you can escape this
+     * syntax with `$$`; for example:
+     * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+     * This field corresponds to the `args` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes of the args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addArgsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureArgsIsMutable();
+      args_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.EnvVar> env_ =
+        java.util.Collections.emptyList();
+
+    private void ensureEnvIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        env_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.EnvVar>(env_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EnvVar,
+            com.google.cloud.aiplatform.v1.EnvVar.Builder,
+            com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        envBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList() {
+      if (envBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(env_);
+      } else {
+        return envBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public int getEnvCount() {
+      if (envBuilder_ == null) {
+        return env_.size();
+      } else {
+        return envBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar getEnv(int index) {
+      if (envBuilder_ == null) {
+        return env_.get(index);
+      } else {
+        return envBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setEnv(int index, com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.set(index, value);
+        onChanged();
+      } else {
+        envBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setEnv(
+        int index, com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addEnv(com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.add(value);
+        onChanged();
+      } else {
+        envBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addEnv(int index, com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.add(index, value);
+        onChanged();
+      } else {
+        envBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addEnv(com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.add(builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addEnv(
+        int index, com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addAllEnv(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.EnvVar> values) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, env_);
+        onChanged();
+      } else {
+        envBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder clearEnv() {
+      if (envBuilder_ == null) {
+        env_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000004);
+        onChanged();
+      } else {
+        envBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder removeEnv(int index) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.remove(index);
+        onChanged();
+      } else {
+        envBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder getEnvBuilder(int index) {
+      return getEnvFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index) {
+      if (envBuilder_ == null) {
+        return env_.get(index);
+      } else {
+        return envBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        getEnvOrBuilderList() {
+      if (envBuilder_ != null) {
+        return envBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(env_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder addEnvBuilder() {
+      return getEnvFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.EnvVar.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder addEnvBuilder(int index) {
+      return getEnvFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.EnvVar.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of environment variables to set in the container. After the container
+     * starts running, code running in the container can read these environment
+     * variables.
+     * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+     * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+     * entries in this list can also reference earlier entries. For example, the
+     * following example sets the variable `VAR_2` to have the value `foo bar`:
+     * ```json
+     * [
+     *   {
+     *     "name": "VAR_1",
+     *     "value": "foo"
+     *   },
+     *   {
+     *     "name": "VAR_2",
+     *     "value": "$(VAR_1) bar"
+     *   }
+     * ]
+     * ```
+     * If you switch the order of the variables in the example, then the expansion
+     * does not occur.
+     * This field corresponds to the `env` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.EnvVar.Builder> getEnvBuilderList() {
+      return getEnvFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EnvVar,
+            com.google.cloud.aiplatform.v1.EnvVar.Builder,
+            com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        getEnvFieldBuilder() {
+      if (envBuilder_ == null) {
+        envBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EnvVar,
+                com.google.cloud.aiplatform.v1.EnvVar.Builder,
+                com.google.cloud.aiplatform.v1.EnvVarOrBuilder>(
+                env_, ((bitField0_ & 0x00000004) != 0), getParentForChildren(), isClean());
+        env_ = null;
+      }
+      return envBuilder_;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.Port> ports_ =
+        java.util.Collections.emptyList();
+
+    private void ensurePortsIsMutable() {
+      if (!((bitField0_ & 0x00000008) != 0)) {
+        ports_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.Port>(ports_);
+        bitField0_ |= 0x00000008;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Port,
+            com.google.cloud.aiplatform.v1.Port.Builder,
+            com.google.cloud.aiplatform.v1.PortOrBuilder>
+        portsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Port> getPortsList() {
+      if (portsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(ports_);
+      } else {
+        return portsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public int getPortsCount() {
+      if (portsBuilder_ == null) {
+        return ports_.size();
+      } else {
+        return portsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Port getPorts(int index) {
+      if (portsBuilder_ == null) {
+        return ports_.get(index);
+      } else {
+        return portsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setPorts(int index, com.google.cloud.aiplatform.v1.Port value) {
+      if (portsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePortsIsMutable();
+        ports_.set(index, value);
+        onChanged();
+      } else {
+        portsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setPorts(
+        int index, com.google.cloud.aiplatform.v1.Port.Builder builderForValue) {
+      if (portsBuilder_ == null) {
+        ensurePortsIsMutable();
+        ports_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        portsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addPorts(com.google.cloud.aiplatform.v1.Port value) {
+      if (portsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePortsIsMutable();
+        ports_.add(value);
+        onChanged();
+      } else {
+        portsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addPorts(int index, com.google.cloud.aiplatform.v1.Port value) {
+      if (portsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePortsIsMutable();
+        ports_.add(index, value);
+        onChanged();
+      } else {
+        portsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addPorts(com.google.cloud.aiplatform.v1.Port.Builder builderForValue) {
+      if (portsBuilder_ == null) {
+        ensurePortsIsMutable();
+        ports_.add(builderForValue.build());
+        onChanged();
+      } else {
+        portsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addPorts(
+        int index, com.google.cloud.aiplatform.v1.Port.Builder builderForValue) {
+      if (portsBuilder_ == null) {
+        ensurePortsIsMutable();
+        ports_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        portsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder addAllPorts(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Port> values) {
+      if (portsBuilder_ == null) {
+        ensurePortsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, ports_);
+        onChanged();
+      } else {
+        portsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder clearPorts() {
+      if (portsBuilder_ == null) {
+        ports_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000008);
+        onChanged();
+      } else {
+        portsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder removePorts(int index) {
+      if (portsBuilder_ == null) {
+        ensurePortsIsMutable();
+        ports_.remove(index);
+        onChanged();
+      } else {
+        portsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Port.Builder getPortsBuilder(int index) {
+      return getPortsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.PortOrBuilder getPortsOrBuilder(int index) {
+      if (portsBuilder_ == null) {
+        return ports_.get(index);
+      } else {
+        return portsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.PortOrBuilder>
+        getPortsOrBuilderList() {
+      if (portsBuilder_ != null) {
+        return portsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(ports_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Port.Builder addPortsBuilder() {
+      return getPortsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Port.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Port.Builder addPortsBuilder(int index) {
+      return getPortsFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.Port.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. List of ports to expose from the container. AI Platform sends any
+     * prediction requests that it receives to the first port on this list. AI
+     * Platform also sends
+     * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+     * to this port.
+     * If you do not specify this field, it defaults to following value:
+     * ```json
+     * [
+     *   {
+     *     "containerPort": 8080
+     *   }
+     * ]
+     * ```
+     * AI Platform does not use ports other than the first one listed. This field
+     * corresponds to the `ports` field of the Kubernetes Containers
+     * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Port.Builder> getPortsBuilderList() {
+      return getPortsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Port,
+            com.google.cloud.aiplatform.v1.Port.Builder,
+            com.google.cloud.aiplatform.v1.PortOrBuilder>
+        getPortsFieldBuilder() {
+      if (portsBuilder_ == null) {
+        portsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Port,
+                com.google.cloud.aiplatform.v1.Port.Builder,
+                com.google.cloud.aiplatform.v1.PortOrBuilder>(
+                ports_, ((bitField0_ & 0x00000008) != 0), getParentForChildren(), isClean());
+        ports_ = null;
+      }
+      return portsBuilder_;
+    }
+
+    private java.lang.Object predictRoute_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+     * forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+     * path on the container's IP address and port. AI Platform then returns the
+     * container's response in the API response.
+     * For example, if you set this field to `/foo`, then when AI Platform
+     * receives a prediction request, it forwards the request body in a POST
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *  environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code
+     *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+     *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+     * </pre>
+     *
+     * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The predictRoute.
+     */
+    public java.lang.String getPredictRoute() {
+      java.lang.Object ref = predictRoute_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        predictRoute_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+     * forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+     * path on the container's IP address and port. AI Platform then returns the
+     * container's response in the API response.
+     * For example, if you set this field to `/foo`, then when AI Platform
+     * receives a prediction request, it forwards the request body in a POST
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *  environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code
+     *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+     *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+     * </pre>
+     *
+     * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for predictRoute.
+     */
+    public com.google.protobuf.ByteString getPredictRouteBytes() {
+      java.lang.Object ref = predictRoute_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        predictRoute_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+     * forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+     * path on the container's IP address and port. AI Platform then returns the
+     * container's response in the API response.
+     * For example, if you set this field to `/foo`, then when AI Platform
+     * receives a prediction request, it forwards the request body in a POST
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *  environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code
+     *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+     *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+     * </pre>
+     *
+     * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The predictRoute to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPredictRoute(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      predictRoute_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+     * forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+     * path on the container's IP address and port. AI Platform then returns the
+     * container's response in the API response.
+     * For example, if you set this field to `/foo`, then when AI Platform
+     * receives a prediction request, it forwards the request body in a POST
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *  environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code
+     *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+     *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+     * </pre>
+     *
+     * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPredictRoute() {
+
+      predictRoute_ = getDefaultInstance().getPredictRoute();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+     * forwards requests sent using
+     * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+     * path on the container's IP address and port. AI Platform then returns the
+     * container's response in the API response.
+     * For example, if you set this field to `/foo`, then when AI Platform
+     * receives a prediction request, it forwards the request body in a POST
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *  environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code
+     *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+     *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+     * </pre>
+     *
+     * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for predictRoute to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPredictRouteBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      predictRoute_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object healthRoute_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send health checks to. AI Platform
+     * intermittently sends GET requests to this path on the container's IP
+     * address and port to check that the container is healthy. Read more about
+     * [health
+     * checks](https://tinyurl.com/cust-cont-reqs#checks).
+     * For example, if you set this field to `/bar`, then AI Platform
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code as the
+     * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * </pre>
+     *
+     * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The healthRoute.
+     */
+    public java.lang.String getHealthRoute() {
+      java.lang.Object ref = healthRoute_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        healthRoute_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send health checks to. AI Platform
+     * intermittently sends GET requests to this path on the container's IP
+     * address and port to check that the container is healthy. Read more about
+     * [health
+     * checks](https://tinyurl.com/cust-cont-reqs#checks).
+     * For example, if you set this field to `/bar`, then AI Platform
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code as the
+     * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * </pre>
+     *
+     * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for healthRoute.
+     */
+    public com.google.protobuf.ByteString getHealthRouteBytes() {
+      java.lang.Object ref = healthRoute_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        healthRoute_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send health checks to. AI Platform
+     * intermittently sends GET requests to this path on the container's IP
+     * address and port to check that the container is healthy. Read more about
+     * [health
+     * checks](https://tinyurl.com/cust-cont-reqs#checks).
+     * For example, if you set this field to `/bar`, then AI Platform
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code as the
+     * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * </pre>
+     *
+     * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The healthRoute to set.
+     * @return This builder for chaining.
+     */
+    public Builder setHealthRoute(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      healthRoute_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send health checks to. AI Platform
+     * intermittently sends GET requests to this path on the container's IP
+     * address and port to check that the container is healthy. Read more about
+     * [health
+     * checks](https://tinyurl.com/cust-cont-reqs#checks).
+     * For example, if you set this field to `/bar`, then AI Platform
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code as the
+     * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * </pre>
+     *
+     * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearHealthRoute() {
+
+      healthRoute_ = getDefaultInstance().getHealthRoute();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. HTTP path on the container to send health checks to. AI Platform
+     * intermittently sends GET requests to this path on the container's IP
+     * address and port to check that the container is healthy. Read more about
+     * [health
+     * checks](https://tinyurl.com/cust-cont-reqs#checks).
+     * For example, if you set this field to `/bar`, then AI Platform
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
+     * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+     * If you don't specify this field, it defaults to the following value when
+     * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+     * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+     * The placeholders in this value are replaced as follows:
+     * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+     *   Endpoint.name][] field of the Endpoint where this Model has been
+     *   deployed. (AI Platform makes this value available to your container code
+     *   as the
+     *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+     *   (AI Platform makes this value available to your container code as the
+     * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+     *   environment variable.)
+     * </pre>
+     *
+     * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for healthRoute to set.
+     * @return This builder for chaining.
+     */
+    public Builder setHealthRouteBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      healthRoute_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ModelContainerSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ModelContainerSpec)
+  private static final com.google.cloud.aiplatform.v1.ModelContainerSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ModelContainerSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelContainerSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ModelContainerSpec> PARSER =
+      new com.google.protobuf.AbstractParser<ModelContainerSpec>() {
+        @java.lang.Override
+        public ModelContainerSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ModelContainerSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ModelContainerSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ModelContainerSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelContainerSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpecOrBuilder.java
new file mode 100644
index 000000000..30795d328
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelContainerSpecOrBuilder.java
@@ -0,0 +1,865 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ModelContainerSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ModelContainerSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+   * predictions. This URI must identify an image in Artifact Registry or
+   * Container Registry. Learn more about the container publishing
+   * requirements, including permissions requirements for the AI Platform
+   * Service Agent,
+   * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+   * internally, and this original path is afterwards not used.
+   * To learn about the requirements for the Docker image itself, see
+   * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+   * </pre>
+   *
+   * <code>
+   * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The imageUri.
+   */
+  java.lang.String getImageUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Immutable. URI of the Docker image to be used as the custom container for serving
+   * predictions. This URI must identify an image in Artifact Registry or
+   * Container Registry. Learn more about the container publishing
+   * requirements, including permissions requirements for the AI Platform
+   * Service Agent,
+   * [here](https://tinyurl.com/cust-cont-reqs#publishing).
+   * The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+   * internally, and this original path is afterwards not used.
+   * To learn about the requirements for the Docker image itself, see
+   * [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+   * </pre>
+   *
+   * <code>
+   * string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The bytes for imageUri.
+   */
+  com.google.protobuf.ByteString getImageUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies the command that runs when the container starts. This overrides
+   * the container's
+   * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+   * Specify this field as an array of executable and arguments, similar to a
+   * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+   * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+   * if either exists. If this field is not specified and the container does not
+   * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+   * `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * If you specify this field, then you can also specify the `args` field to
+   * provide additional arguments for this command. However, if you specify this
+   * field, then the container's `CMD` is ignored. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `command` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return A list containing the command.
+   */
+  java.util.List<java.lang.String> getCommandList();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies the command that runs when the container starts. This overrides
+   * the container's
+   * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+   * Specify this field as an array of executable and arguments, similar to a
+   * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+   * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+   * if either exists. If this field is not specified and the container does not
+   * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+   * `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * If you specify this field, then you can also specify the `args` field to
+   * provide additional arguments for this command. However, if you specify this
+   * field, then the container's `CMD` is ignored. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `command` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The count of command.
+   */
+  int getCommandCount();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies the command that runs when the container starts. This overrides
+   * the container's
+   * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+   * Specify this field as an array of executable and arguments, similar to a
+   * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+   * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+   * if either exists. If this field is not specified and the container does not
+   * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+   * `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * If you specify this field, then you can also specify the `args` field to
+   * provide additional arguments for this command. However, if you specify this
+   * field, then the container's `CMD` is ignored. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `command` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The command at the given index.
+   */
+  java.lang.String getCommand(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies the command that runs when the container starts. This overrides
+   * the container's
+   * [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+   * Specify this field as an array of executable and arguments, similar to a
+   * Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+   * If you do not specify this field, then the container's `ENTRYPOINT` runs,
+   * in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+   * container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+   * if either exists. If this field is not specified and the container does not
+   * have an `ENTRYPOINT`, then refer to the Docker documentation about how
+   * `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * If you specify this field, then you can also specify the `args` field to
+   * provide additional arguments for this command. However, if you specify this
+   * field, then the container's `CMD` is ignored. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `command` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the command at the given index.
+   */
+  com.google.protobuf.ByteString getCommandBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies arguments for the command that runs when the container starts.
+   * This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form.
+   * If you don't specify this field but do specify the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+   * `command` field runs without any additional arguments. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * If you don't specify this field and don't specify the `command` field,
+   * then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `args` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return A list containing the args.
+   */
+  java.util.List<java.lang.String> getArgsList();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies arguments for the command that runs when the container starts.
+   * This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form.
+   * If you don't specify this field but do specify the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+   * `command` field runs without any additional arguments. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * If you don't specify this field and don't specify the `command` field,
+   * then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `args` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The count of args.
+   */
+  int getArgsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies arguments for the command that runs when the container starts.
+   * This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form.
+   * If you don't specify this field but do specify the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+   * `command` field runs without any additional arguments. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * If you don't specify this field and don't specify the `command` field,
+   * then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `args` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The args at the given index.
+   */
+  java.lang.String getArgs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Specifies arguments for the command that runs when the container starts.
+   * This overrides the container's
+   * [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+   * this field as an array of executable and arguments, similar to a Docker
+   * `CMD`'s "default parameters" form.
+   * If you don't specify this field but do specify the
+   * [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+   * `command` field runs without any additional arguments. See the
+   * [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+   * `command` and `args` fields interact with a container's `ENTRYPOINT` and
+   * `CMD`.
+   * If you don't specify this field and don't specify the `command` field,
+   * then the container's
+   * [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+   * `CMD` determine what runs based on their default behavior. See the Docker
+   * documentation about how `CMD` and `ENTRYPOINT`
+   * [interact](https://tinyurl.com/h3kdcgs).
+   * In this field, you can reference environment variables
+   * [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   * and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+   * You cannot reference environment variables set in the Docker image. In
+   * order for environment variables to be expanded, reference them by using the
+   * following syntax:
+   * &lt;code&gt;$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * Note that this differs from Bash variable expansion, which does not use
+   * parentheses. If a variable cannot be resolved, the reference in the input
+   * string is used unchanged. To avoid variable expansion, you can escape this
+   * syntax with `$$`; for example:
+   * &lt;code&gt;$$(&lt;var&gt;VARIABLE_NAME&lt;/var&gt;)&lt;/code&gt;
+   * This field corresponds to the `args` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the args at the given index.
+   */
+  com.google.protobuf.ByteString getArgsBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.EnvVar getEnv(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  int getEnvCount();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder> getEnvOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of environment variables to set in the container. After the container
+   * starts running, code running in the container can read these environment
+   * variables.
+   * Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+   * [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+   * entries in this list can also reference earlier entries. For example, the
+   * following example sets the variable `VAR_2` to have the value `foo bar`:
+   * ```json
+   * [
+   *   {
+   *     "name": "VAR_1",
+   *     "value": "foo"
+   *   },
+   *   {
+   *     "name": "VAR_2",
+   *     "value": "$(VAR_1) bar"
+   *   }
+   * ]
+   * ```
+   * If you switch the order of the variables in the example, then the expansion
+   * does not occur.
+   * This field corresponds to the `env` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Port> getPortsList();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.Port getPorts(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  int getPortsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.PortOrBuilder> getPortsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. List of ports to expose from the container. AI Platform sends any
+   * prediction requests that it receives to the first port on this list. AI
+   * Platform also sends
+   * [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+   * to this port.
+   * If you do not specify this field, it defaults to following value:
+   * ```json
+   * [
+   *   {
+   *     "containerPort": 8080
+   *   }
+   * ]
+   * ```
+   * AI Platform does not use ports other than the first one listed. This field
+   * corresponds to the `ports` field of the Kubernetes Containers
+   * [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.PortOrBuilder getPortsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+   * forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+   * path on the container's IP address and port. AI Platform then returns the
+   * container's response in the API response.
+   * For example, if you set this field to `/foo`, then when AI Platform
+   * receives a prediction request, it forwards the request body in a POST
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
+   * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+   * If you don't specify this field, it defaults to the following value when
+   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+   * The placeholders in this value are replaced as follows:
+   * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+   *   Endpoint.name][] field of the Endpoint where this Model has been
+   *   deployed. (AI Platform makes this value available to your container code
+   *   as the
+   *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *  environment variable.)
+   * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   *   (AI Platform makes this value available to your container code
+   *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+   *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+   * </pre>
+   *
+   * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The predictRoute.
+   */
+  java.lang.String getPredictRoute();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. HTTP path on the container to send prediction requests to. AI Platform
+   * forwards requests sent using
+   * [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+   * path on the container's IP address and port. AI Platform then returns the
+   * container's response in the API response.
+   * For example, if you set this field to `/foo`, then when AI Platform
+   * receives a prediction request, it forwards the request body in a POST
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
+   * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+   * If you don't specify this field, it defaults to the following value when
+   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+   * The placeholders in this value are replaced as follows:
+   * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+   *   Endpoint.name][] field of the Endpoint where this Model has been
+   *   deployed. (AI Platform makes this value available to your container code
+   *   as the
+   *  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *  environment variable.)
+   * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   *   (AI Platform makes this value available to your container code
+   *   as the [`AIP_DEPLOYED_MODEL_ID` environment
+   *   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+   * </pre>
+   *
+   * <code>string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for predictRoute.
+   */
+  com.google.protobuf.ByteString getPredictRouteBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. HTTP path on the container to send health checks to. AI Platform
+   * intermittently sends GET requests to this path on the container's IP
+   * address and port to check that the container is healthy. Read more about
+   * [health
+   * checks](https://tinyurl.com/cust-cont-reqs#checks).
+   * For example, if you set this field to `/bar`, then AI Platform
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
+   * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+   * If you don't specify this field, it defaults to the following value when
+   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+   * The placeholders in this value are replaced as follows:
+   * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+   *   Endpoint.name][] field of the Endpoint where this Model has been
+   *   deployed. (AI Platform makes this value available to your container code
+   *   as the
+   *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *   environment variable.)
+   * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   *   (AI Platform makes this value available to your container code as the
+   * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *   environment variable.)
+   * </pre>
+   *
+   * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The healthRoute.
+   */
+  java.lang.String getHealthRoute();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. HTTP path on the container to send health checks to. AI Platform
+   * intermittently sends GET requests to this path on the container's IP
+   * address and port to check that the container is healthy. Read more about
+   * [health
+   * checks](https://tinyurl.com/cust-cont-reqs#checks).
+   * For example, if you set this field to `/bar`, then AI Platform
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
+   * [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+   * If you don't specify this field, it defaults to the following value when
+   * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+   * &lt;code&gt;/v1/endpoints/&lt;var&gt;ENDPOINT&lt;/var&gt;/deployedModels/&lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;:predict&lt;/code&gt;
+   * The placeholders in this value are replaced as follows:
+   * * &lt;var&gt;ENDPOINT&lt;/var&gt;: The last segment (following `endpoints/`)of the
+   *   Endpoint.name][] field of the Endpoint where this Model has been
+   *   deployed. (AI Platform makes this value available to your container code
+   *   as the
+   *   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *   environment variable.)
+   * * &lt;var&gt;DEPLOYED_MODEL&lt;/var&gt;: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+   *   (AI Platform makes this value available to your container code as the
+   * [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+   *   environment variable.)
+   * </pre>
+   *
+   * <code>string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for healthRoute.
+   */
+  com.google.protobuf.ByteString getHealthRouteBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluation.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluation.java
new file mode 100644
index 000000000..da604b01a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluation.java
@@ -0,0 +1,1735 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_evaluation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A collection of metrics calculated by comparing Model's predictions on all of
+ * the test data against annotations from the test data.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ModelEvaluation}
+ */
+public final class ModelEvaluation extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ModelEvaluation)
+    ModelEvaluationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ModelEvaluation.newBuilder() to construct.
+  private ModelEvaluation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ModelEvaluation() {
+    name_ = "";
+    metricsSchemaUri_ = "";
+    sliceDimensions_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ModelEvaluation();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ModelEvaluation(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              metricsSchemaUri_ = s;
+              break;
+            }
+          case 26:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (metrics_ != null) {
+                subBuilder = metrics_.toBuilder();
+              }
+              metrics_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metrics_);
+                metrics_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 34:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                sliceDimensions_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              sliceDimensions_.add(s);
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        sliceDimensions_ = sliceDimensions_.getUnmodifiableView();
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelEvaluationProto
+        .internal_static_google_cloud_aiplatform_v1_ModelEvaluation_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelEvaluationProto
+        .internal_static_google_cloud_aiplatform_v1_ModelEvaluation_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ModelEvaluation.class,
+            com.google.cloud.aiplatform.v1.ModelEvaluation.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the ModelEvaluation.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the ModelEvaluation.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int METRICS_SCHEMA_URI_FIELD_NUMBER = 2;
+  private volatile java.lang.Object metricsSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+   * defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * </pre>
+   *
+   * <code>string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The metricsSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getMetricsSchemaUri() {
+    java.lang.Object ref = metricsSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      metricsSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+   * defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * </pre>
+   *
+   * <code>string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for metricsSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
+    java.lang.Object ref = metricsSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      metricsSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int METRICS_FIELD_NUMBER = 3;
+  private com.google.protobuf.Value metrics_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the metrics field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetrics() {
+    return metrics_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The metrics.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getMetrics() {
+    return metrics_ == null ? com.google.protobuf.Value.getDefaultInstance() : metrics_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder() {
+    return getMetrics();
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 4;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int SLICE_DIMENSIONS_FIELD_NUMBER = 5;
+  private com.google.protobuf.LazyStringList sliceDimensions_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+   * ModelEvaluationSlices. The dimensions can be used as the filter of the
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+   * `slice.dimension = &lt;dimension&gt;`.
+   * </pre>
+   *
+   * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return A list containing the sliceDimensions.
+   */
+  public com.google.protobuf.ProtocolStringList getSliceDimensionsList() {
+    return sliceDimensions_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+   * ModelEvaluationSlices. The dimensions can be used as the filter of the
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+   * `slice.dimension = &lt;dimension&gt;`.
+   * </pre>
+   *
+   * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The count of sliceDimensions.
+   */
+  public int getSliceDimensionsCount() {
+    return sliceDimensions_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+   * ModelEvaluationSlices. The dimensions can be used as the filter of the
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+   * `slice.dimension = &lt;dimension&gt;`.
+   * </pre>
+   *
+   * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The sliceDimensions at the given index.
+   */
+  public java.lang.String getSliceDimensions(int index) {
+    return sliceDimensions_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+   * ModelEvaluationSlices. The dimensions can be used as the filter of the
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+   * `slice.dimension = &lt;dimension&gt;`.
+   * </pre>
+   *
+   * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the sliceDimensions at the given index.
+   */
+  public com.google.protobuf.ByteString getSliceDimensionsBytes(int index) {
+    return sliceDimensions_.getByteString(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getMetricsSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, metricsSchemaUri_);
+    }
+    if (metrics_ != null) {
+      output.writeMessage(3, getMetrics());
+    }
+    if (createTime_ != null) {
+      output.writeMessage(4, getCreateTime());
+    }
+    for (int i = 0; i < sliceDimensions_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 5, sliceDimensions_.getRaw(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getMetricsSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, metricsSchemaUri_);
+    }
+    if (metrics_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getMetrics());
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getCreateTime());
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < sliceDimensions_.size(); i++) {
+        dataSize += computeStringSizeNoTag(sliceDimensions_.getRaw(i));
+      }
+      size += dataSize;
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+     * @param value The name to set.
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+    /**
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+     *
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+     *
+     * @return This builder for chaining.
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+    /**
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+     * <pre>
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+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+     * @param value The bytes for name to set.
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+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+     * defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
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+     *
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+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+     * defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * </pre>
+     *
+     * <code>string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+     * defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
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+     *
+     * <code>string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+     * defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
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+     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+     * defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * </pre>
+     *
+     * <code>string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for metricsSchemaUri to set.
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+    /**
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+     * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+    /**
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+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+    /**
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+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+        metricsBuilder_.setMessage(builderForValue.build());
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+
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+          metrics_ = com.google.protobuf.Value.newBuilder(metrics_).mergeFrom(value).buildPartial();
+        } else {
+          metrics_ = value;
+        }
+        onChanged();
+      } else {
+        metricsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder clearMetrics() {
+      if (metricsBuilder_ == null) {
+        metrics_ = null;
+        onChanged();
+      } else {
+        metrics_ = null;
+        metricsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.protobuf.Value.Builder getMetricsBuilder() {
+
+      onChanged();
+      return getMetricsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder() {
+      if (metricsBuilder_ != null) {
+        return metricsBuilder_.getMessageOrBuilder();
+      } else {
+        return metrics_ == null ? com.google.protobuf.Value.getDefaultInstance() : metrics_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+     * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getMetricsFieldBuilder() {
+      if (metricsBuilder_ == null) {
+        metricsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getMetrics(), getParentForChildren(), isClean());
+        metrics_ = null;
+      }
+      return metricsBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluation was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.LazyStringList sliceDimensions_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureSliceDimensionsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        sliceDimensions_ = new com.google.protobuf.LazyStringArrayList(sliceDimensions_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the sliceDimensions.
+     */
+    public com.google.protobuf.ProtocolStringList getSliceDimensionsList() {
+      return sliceDimensions_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The count of sliceDimensions.
+     */
+    public int getSliceDimensionsCount() {
+      return sliceDimensions_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the element to return.
+     * @return The sliceDimensions at the given index.
+     */
+    public java.lang.String getSliceDimensions(int index) {
+      return sliceDimensions_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the sliceDimensions at the given index.
+     */
+    public com.google.protobuf.ByteString getSliceDimensionsBytes(int index) {
+      return sliceDimensions_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index to set the value at.
+     * @param value The sliceDimensions to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSliceDimensions(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSliceDimensionsIsMutable();
+      sliceDimensions_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The sliceDimensions to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSliceDimensions(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSliceDimensionsIsMutable();
+      sliceDimensions_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param values The sliceDimensions to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllSliceDimensions(java.lang.Iterable<java.lang.String> values) {
+      ensureSliceDimensionsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, sliceDimensions_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSliceDimensions() {
+      sliceDimensions_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+     * ModelEvaluationSlices. The dimensions can be used as the filter of the
+     * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+     * `slice.dimension = &lt;dimension&gt;`.
+     * </pre>
+     *
+     * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The bytes of the sliceDimensions to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSliceDimensionsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureSliceDimensionsIsMutable();
+      sliceDimensions_.add(value);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ModelEvaluation)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ModelEvaluation)
+  private static final com.google.cloud.aiplatform.v1.ModelEvaluation DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ModelEvaluation();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluation getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ModelEvaluation> PARSER =
+      new com.google.protobuf.AbstractParser<ModelEvaluation>() {
+        @java.lang.Override
+        public ModelEvaluation parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ModelEvaluation(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ModelEvaluation> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ModelEvaluation> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelEvaluation getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationName.java
new file mode 100644
index 000000000..a7a796c8a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationName.java
@@ -0,0 +1,260 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class ModelEvaluationName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_MODEL_EVALUATION =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String model;
+  private final String evaluation;
+
+  @Deprecated
+  protected ModelEvaluationName() {
+    project = null;
+    location = null;
+    model = null;
+    evaluation = null;
+  }
+
+  private ModelEvaluationName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    model = Preconditions.checkNotNull(builder.getModel());
+    evaluation = Preconditions.checkNotNull(builder.getEvaluation());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getModel() {
+    return model;
+  }
+
+  public String getEvaluation() {
+    return evaluation;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static ModelEvaluationName of(
+      String project, String location, String model, String evaluation) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setModel(model)
+        .setEvaluation(evaluation)
+        .build();
+  }
+
+  public static String format(String project, String location, String model, String evaluation) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setModel(model)
+        .setEvaluation(evaluation)
+        .build()
+        .toString();
+  }
+
+  public static ModelEvaluationName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_MODEL_EVALUATION.validatedMatch(
+            formattedString, "ModelEvaluationName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("model"),
+        matchMap.get("evaluation"));
+  }
+
+  public static List<ModelEvaluationName> parseList(List<String> formattedStrings) {
+    List<ModelEvaluationName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<ModelEvaluationName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (ModelEvaluationName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_MODEL_EVALUATION.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (model != null) {
+            fieldMapBuilder.put("model", model);
+          }
+          if (evaluation != null) {
+            fieldMapBuilder.put("evaluation", evaluation);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_MODEL_EVALUATION.instantiate(
+        "project", project, "location", location, "model", model, "evaluation", evaluation);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      ModelEvaluationName that = ((ModelEvaluationName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.model, that.model)
+          && Objects.equals(this.evaluation, that.evaluation);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(model);
+    h *= 1000003;
+    h ^= Objects.hashCode(evaluation);
+    return h;
+  }
+
+  /**
+   * Builder for projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}.
+   */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String model;
+    private String evaluation;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getModel() {
+      return model;
+    }
+
+    public String getEvaluation() {
+      return evaluation;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setModel(String model) {
+      this.model = model;
+      return this;
+    }
+
+    public Builder setEvaluation(String evaluation) {
+      this.evaluation = evaluation;
+      return this;
+    }
+
+    private Builder(ModelEvaluationName modelEvaluationName) {
+      project = modelEvaluationName.project;
+      location = modelEvaluationName.location;
+      model = modelEvaluationName.model;
+      evaluation = modelEvaluationName.evaluation;
+    }
+
+    public ModelEvaluationName build() {
+      return new ModelEvaluationName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationOrBuilder.java
new file mode 100644
index 000000000..7bf6bcb84
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationOrBuilder.java
@@ -0,0 +1,220 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_evaluation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ModelEvaluationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ModelEvaluation)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the ModelEvaluation.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the ModelEvaluation.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+   * defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * </pre>
+   *
+   * <code>string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The metricsSchemaUri.
+   */
+  java.lang.String getMetricsSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+   * defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * </pre>
+   *
+   * <code>string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for metricsSchemaUri.
+   */
+  com.google.protobuf.ByteString getMetricsSchemaUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the metrics field is set.
+   */
+  boolean hasMetrics();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The metrics.
+   */
+  com.google.protobuf.Value getMetrics();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+   * [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  com.google.protobuf.ValueOrBuilder getMetricsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluation was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+   * ModelEvaluationSlices. The dimensions can be used as the filter of the
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+   * `slice.dimension = &lt;dimension&gt;`.
+   * </pre>
+   *
+   * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return A list containing the sliceDimensions.
+   */
+  java.util.List<java.lang.String> getSliceDimensionsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+   * ModelEvaluationSlices. The dimensions can be used as the filter of the
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+   * `slice.dimension = &lt;dimension&gt;`.
+   * </pre>
+   *
+   * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The count of sliceDimensions.
+   */
+  int getSliceDimensionsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+   * ModelEvaluationSlices. The dimensions can be used as the filter of the
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+   * `slice.dimension = &lt;dimension&gt;`.
+   * </pre>
+   *
+   * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The sliceDimensions at the given index.
+   */
+  java.lang.String getSliceDimensions(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+   * ModelEvaluationSlices. The dimensions can be used as the filter of the
+   * [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+   * `slice.dimension = &lt;dimension&gt;`.
+   * </pre>
+   *
+   * <code>repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the sliceDimensions at the given index.
+   */
+  com.google.protobuf.ByteString getSliceDimensionsBytes(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationProto.java
new file mode 100644
index 000000000..25688003d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationProto.java
@@ -0,0 +1,94 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_evaluation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class ModelEvaluationProto {
+  private ModelEvaluationProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ModelEvaluation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ModelEvaluation_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n1google/cloud/aiplatform/v1/model_evalu"
+          + "ation.proto\022\032google.cloud.aiplatform.v1\032"
+          + "\037google/api/field_behavior.proto\032\031google"
+          + "/api/resource.proto\032\034google/protobuf/str"
+          + "uct.proto\032\037google/protobuf/timestamp.pro"
+          + "to\032\034google/api/annotations.proto\"\311\002\n\017Mod"
+          + "elEvaluation\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\037\n\022metri"
+          + "cs_schema_uri\030\002 \001(\tB\003\340A\003\022,\n\007metrics\030\003 \001("
+          + "\0132\026.google.protobuf.ValueB\003\340A\003\0224\n\013create"
+          + "_time\030\004 \001(\0132\032.google.protobuf.TimestampB"
+          + "\003\340A\003\022\035\n\020slice_dimensions\030\005 \003(\tB\003\340A\003:\177\352A|"
+          + "\n)aiplatform.googleapis.com/ModelEvaluat"
+          + "ion\022Oprojects/{project}/locations/{locat"
+          + "ion}/models/{model}/evaluations/{evaluat"
+          + "ion}B~\n\036com.google.cloud.aiplatform.v1B\024"
+          + "ModelEvaluationProtoP\001ZDgoogle.golang.or"
+          + "g/genproto/googleapis/cloud/aiplatform/v"
+          + "1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_ModelEvaluation_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_ModelEvaluation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ModelEvaluation_descriptor,
+            new java.lang.String[] {
+              "Name", "MetricsSchemaUri", "Metrics", "CreateTime", "SliceDimensions",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSlice.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSlice.java
new file mode 100644
index 000000000..c85ea550a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSlice.java
@@ -0,0 +1,2605 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_evaluation_slice.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A collection of metrics calculated by comparing Model's predictions on a
+ * slice of the test data against ground truth annotations.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ModelEvaluationSlice}
+ */
+public final class ModelEvaluationSlice extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ModelEvaluationSlice)
+    ModelEvaluationSliceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ModelEvaluationSlice.newBuilder() to construct.
+  private ModelEvaluationSlice(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ModelEvaluationSlice() {
+    name_ = "";
+    metricsSchemaUri_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ModelEvaluationSlice();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ModelEvaluationSlice(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.Builder subBuilder = null;
+              if (slice_ != null) {
+                subBuilder = slice_.toBuilder();
+              }
+              slice_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(slice_);
+                slice_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              metricsSchemaUri_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (metrics_ != null) {
+                subBuilder = metrics_.toBuilder();
+              }
+              metrics_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metrics_);
+                metrics_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelEvaluationSliceProto
+        .internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelEvaluationSliceProto
+        .internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.class,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder.class);
+  }
+
+  public interface SliceOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The dimension of the slice.
+     * Well-known dimensions are:
+     *   * `annotationSpec`: This slice is on the test data that has either
+     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+     *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+     * </pre>
+     *
+     * <code>string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The dimension.
+     */
+    java.lang.String getDimension();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The dimension of the slice.
+     * Well-known dimensions are:
+     *   * `annotationSpec`: This slice is on the test data that has either
+     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+     *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+     * </pre>
+     *
+     * <code>string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for dimension.
+     */
+    com.google.protobuf.ByteString getDimensionBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The value of the dimension in this slice.
+     * </pre>
+     *
+     * <code>string value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The value.
+     */
+    java.lang.String getValue();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The value of the dimension in this slice.
+     * </pre>
+     *
+     * <code>string value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for value.
+     */
+    com.google.protobuf.ByteString getValueBytes();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Definition of a slice.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice}
+   */
+  public static final class Slice extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice)
+      SliceOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use Slice.newBuilder() to construct.
+    private Slice(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private Slice() {
+      dimension_ = "";
+      value_ = "";
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+     * Well-known dimensions are:
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+     *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
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+     *
+     * <pre>
+     * Output only. The value of the dimension in this slice.
+     * </pre>
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+     * <code>string value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+     * @return The bytes for value.
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+      if (!getDimensionBytes().isEmpty()) {
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+        value_ = "";
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+        return this;
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+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice getDefaultInstanceForType() {
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+      private java.lang.Object dimension_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The dimension of the slice.
+       * Well-known dimensions are:
+       *   * `annotationSpec`: This slice is on the test data that has either
+       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       * </pre>
+       *
+       * <code>string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+          java.lang.String s = bs.toStringUtf8();
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+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The dimension of the slice.
+       * Well-known dimensions are:
+       *   * `annotationSpec`: This slice is on the test data that has either
+       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       * </pre>
+       *
+       * <code>string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The bytes for dimension.
+       */
+      public com.google.protobuf.ByteString getDimensionBytes() {
+        java.lang.Object ref = dimension_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
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+        }
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+      /**
+       *
+       *
+       * <pre>
+       * Output only. The dimension of the slice.
+       * Well-known dimensions are:
+       *   * `annotationSpec`: This slice is on the test data that has either
+       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       * </pre>
+       *
+       * <code>string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The dimension to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDimension(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        dimension_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The dimension of the slice.
+       * Well-known dimensions are:
+       *   * `annotationSpec`: This slice is on the test data that has either
+       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       * </pre>
+       *
+       * <code>string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDimension() {
+
+        dimension_ = getDefaultInstance().getDimension();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The dimension of the slice.
+       * Well-known dimensions are:
+       *   * `annotationSpec`: This slice is on the test data that has either
+       *     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+       *     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+       * </pre>
+       *
+       * <code>string dimension = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The bytes for dimension to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDimensionBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
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+        }
+        checkByteStringIsUtf8(value);
+
+        dimension_ = value;
+        onChanged();
+        return this;
+      }
+
+      private java.lang.Object value_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the dimension in this slice.
+       * </pre>
+       *
+       * <code>string value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The value.
+       */
+      public java.lang.String getValue() {
+        java.lang.Object ref = value_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          value_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the dimension in this slice.
+       * </pre>
+       *
+       * <code>string value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The bytes for value.
+       */
+      public com.google.protobuf.ByteString getValueBytes() {
+        java.lang.Object ref = value_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          value_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the dimension in this slice.
+       * </pre>
+       *
+       * <code>string value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The value to set.
+       * @return This builder for chaining.
+       */
+      public Builder setValue(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        value_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the dimension in this slice.
+       * </pre>
+       *
+       * <code>string value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearValue() {
+
+        value_ = getDefaultInstance().getValue();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the dimension in this slice.
+       * </pre>
+       *
+       * <code>string value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The bytes for value to set.
+       * @return This builder for chaining.
+       */
+      public Builder setValueBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        value_ = value;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice)
+    private static final com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice();
+    }
+
+    public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<Slice> PARSER =
+        new com.google.protobuf.AbstractParser<Slice>() {
+          @java.lang.Override
+          public Slice parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new Slice(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<Slice> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<Slice> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the ModelEvaluationSlice.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the ModelEvaluationSlice.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int SLICE_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The slice of the test data that is used to evaluate the Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the slice field is set.
+   */
+  @java.lang.Override
+  public boolean hasSlice() {
+    return slice_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The slice of the test data that is used to evaluate the Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The slice.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice getSlice() {
+    return slice_ == null
+        ? com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.getDefaultInstance()
+        : slice_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The slice of the test data that is used to evaluate the Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.SliceOrBuilder getSliceOrBuilder() {
+    return getSlice();
+  }
+
+  public static final int METRICS_SCHEMA_URI_FIELD_NUMBER = 3;
+  private volatile java.lang.Object metricsSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+   * schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * </pre>
+   *
+   * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The metricsSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getMetricsSchemaUri() {
+    java.lang.Object ref = metricsSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      metricsSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+   * schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * </pre>
+   *
+   * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for metricsSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
+    java.lang.Object ref = metricsSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      metricsSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int METRICS_FIELD_NUMBER = 4;
+  private com.google.protobuf.Value metrics_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the metrics field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetrics() {
+    return metrics_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The metrics.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getMetrics() {
+    return metrics_ == null ? com.google.protobuf.Value.getDefaultInstance() : metrics_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder() {
+    return getMetrics();
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 5;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluationSlice was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluationSlice was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluationSlice was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (slice_ != null) {
+      output.writeMessage(2, getSlice());
+    }
+    if (!getMetricsSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, metricsSchemaUri_);
+    }
+    if (metrics_ != null) {
+      output.writeMessage(4, getMetrics());
+    }
+    if (createTime_ != null) {
+      output.writeMessage(5, getCreateTime());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (slice_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getSlice());
+    }
+    if (!getMetricsSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, metricsSchemaUri_);
+    }
+    if (metrics_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getMetrics());
+    }
+    if (createTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getCreateTime());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ModelEvaluationSlice)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ModelEvaluationSlice other =
+        (com.google.cloud.aiplatform.v1.ModelEvaluationSlice) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (hasSlice() != other.hasSlice()) return false;
+    if (hasSlice()) {
+      if (!getSlice().equals(other.getSlice())) return false;
+    }
+    if (!getMetricsSchemaUri().equals(other.getMetricsSchemaUri())) return false;
+    if (hasMetrics() != other.hasMetrics()) return false;
+    if (hasMetrics()) {
+      if (!getMetrics().equals(other.getMetrics())) return false;
+    }
+    if (hasCreateTime() != other.hasCreateTime()) return false;
+    if (hasCreateTime()) {
+      if (!getCreateTime().equals(other.getCreateTime())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    if (hasSlice()) {
+      hash = (37 * hash) + SLICE_FIELD_NUMBER;
+      hash = (53 * hash) + getSlice().hashCode();
+    }
+    hash = (37 * hash) + METRICS_SCHEMA_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getMetricsSchemaUri().hashCode();
+    if (hasMetrics()) {
+      hash = (37 * hash) + METRICS_FIELD_NUMBER;
+      hash = (53 * hash) + getMetrics().hashCode();
+    }
+    if (hasCreateTime()) {
+      hash = (37 * hash) + CREATE_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getCreateTime().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ModelEvaluationSlice prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A collection of metrics calculated by comparing Model's predictions on a
+   * slice of the test data against ground truth annotations.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ModelEvaluationSlice}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ModelEvaluationSlice)
+      com.google.cloud.aiplatform.v1.ModelEvaluationSliceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelEvaluationSliceProto
+          .internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelEvaluationSliceProto
+          .internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ModelEvaluationSlice.class,
+              com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ModelEvaluationSlice.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      name_ = "";
+
+      if (sliceBuilder_ == null) {
+        slice_ = null;
+      } else {
+        slice_ = null;
+        sliceBuilder_ = null;
+      }
+      metricsSchemaUri_ = "";
+
+      if (metricsBuilder_ == null) {
+        metrics_ = null;
+      } else {
+        metrics_ = null;
+        metricsBuilder_ = null;
+      }
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelEvaluationSliceProto
+          .internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ModelEvaluationSlice.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice build() {
+      com.google.cloud.aiplatform.v1.ModelEvaluationSlice result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice buildPartial() {
+      com.google.cloud.aiplatform.v1.ModelEvaluationSlice result =
+          new com.google.cloud.aiplatform.v1.ModelEvaluationSlice(this);
+      result.name_ = name_;
+      if (sliceBuilder_ == null) {
+        result.slice_ = slice_;
+      } else {
+        result.slice_ = sliceBuilder_.build();
+      }
+      result.metricsSchemaUri_ = metricsSchemaUri_;
+      if (metricsBuilder_ == null) {
+        result.metrics_ = metrics_;
+      } else {
+        result.metrics_ = metricsBuilder_.build();
+      }
+      if (createTimeBuilder_ == null) {
+        result.createTime_ = createTime_;
+      } else {
+        result.createTime_ = createTimeBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ModelEvaluationSlice) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ModelEvaluationSlice) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ModelEvaluationSlice other) {
+      if (other == com.google.cloud.aiplatform.v1.ModelEvaluationSlice.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (other.hasSlice()) {
+        mergeSlice(other.getSlice());
+      }
+      if (!other.getMetricsSchemaUri().isEmpty()) {
+        metricsSchemaUri_ = other.metricsSchemaUri_;
+        onChanged();
+      }
+      if (other.hasMetrics()) {
+        mergeMetrics(other.getMetrics());
+      }
+      if (other.hasCreateTime()) {
+        mergeCreateTime(other.getCreateTime());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ModelEvaluationSlice parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.ModelEvaluationSlice) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the ModelEvaluationSlice.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the ModelEvaluationSlice.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the ModelEvaluationSlice.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the ModelEvaluationSlice.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the ModelEvaluationSlice.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.Builder,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.SliceOrBuilder>
+        sliceBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the slice field is set.
+     */
+    public boolean hasSlice() {
+      return sliceBuilder_ != null || slice_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The slice.
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice getSlice() {
+      if (sliceBuilder_ == null) {
+        return slice_ == null
+            ? com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.getDefaultInstance()
+            : slice_;
+      } else {
+        return sliceBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setSlice(com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice value) {
+      if (sliceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        slice_ = value;
+        onChanged();
+      } else {
+        sliceBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setSlice(
+        com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.Builder builderForValue) {
+      if (sliceBuilder_ == null) {
+        slice_ = builderForValue.build();
+        onChanged();
+      } else {
+        sliceBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeSlice(com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice value) {
+      if (sliceBuilder_ == null) {
+        if (slice_ != null) {
+          slice_ =
+              com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.newBuilder(slice_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          slice_ = value;
+        }
+        onChanged();
+      } else {
+        sliceBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearSlice() {
+      if (sliceBuilder_ == null) {
+        slice_ = null;
+        onChanged();
+      } else {
+        slice_ = null;
+        sliceBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.Builder getSliceBuilder() {
+
+      onChanged();
+      return getSliceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelEvaluationSlice.SliceOrBuilder getSliceOrBuilder() {
+      if (sliceBuilder_ != null) {
+        return sliceBuilder_.getMessageOrBuilder();
+      } else {
+        return slice_ == null
+            ? com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.getDefaultInstance()
+            : slice_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The slice of the test data that is used to evaluate the Model.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.Builder,
+            com.google.cloud.aiplatform.v1.ModelEvaluationSlice.SliceOrBuilder>
+        getSliceFieldBuilder() {
+      if (sliceBuilder_ == null) {
+        sliceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice,
+                com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.Builder,
+                com.google.cloud.aiplatform.v1.ModelEvaluationSlice.SliceOrBuilder>(
+                getSlice(), getParentForChildren(), isClean());
+        slice_ = null;
+      }
+      return sliceBuilder_;
+    }
+
+    private java.lang.Object metricsSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+     * schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * </pre>
+     *
+     * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The metricsSchemaUri.
+     */
+    public java.lang.String getMetricsSchemaUri() {
+      java.lang.Object ref = metricsSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        metricsSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+     * schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * </pre>
+     *
+     * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for metricsSchemaUri.
+     */
+    public com.google.protobuf.ByteString getMetricsSchemaUriBytes() {
+      java.lang.Object ref = metricsSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        metricsSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+     * schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * </pre>
+     *
+     * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The metricsSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMetricsSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      metricsSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+     * schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * </pre>
+     *
+     * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMetricsSchemaUri() {
+
+      metricsSchemaUri_ = getDefaultInstance().getMetricsSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+     * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+     * schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * </pre>
+     *
+     * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for metricsSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMetricsSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      metricsSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Value metrics_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        metricsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return Whether the metrics field is set.
+     */
+    public boolean hasMetrics() {
+      return metricsBuilder_ != null || metrics_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The metrics.
+     */
+    public com.google.protobuf.Value getMetrics() {
+      if (metricsBuilder_ == null) {
+        return metrics_ == null ? com.google.protobuf.Value.getDefaultInstance() : metrics_;
+      } else {
+        return metricsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setMetrics(com.google.protobuf.Value value) {
+      if (metricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metrics_ = value;
+        onChanged();
+      } else {
+        metricsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setMetrics(com.google.protobuf.Value.Builder builderForValue) {
+      if (metricsBuilder_ == null) {
+        metrics_ = builderForValue.build();
+        onChanged();
+      } else {
+        metricsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder mergeMetrics(com.google.protobuf.Value value) {
+      if (metricsBuilder_ == null) {
+        if (metrics_ != null) {
+          metrics_ = com.google.protobuf.Value.newBuilder(metrics_).mergeFrom(value).buildPartial();
+        } else {
+          metrics_ = value;
+        }
+        onChanged();
+      } else {
+        metricsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder clearMetrics() {
+      if (metricsBuilder_ == null) {
+        metrics_ = null;
+        onChanged();
+      } else {
+        metrics_ = null;
+        metricsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.protobuf.Value.Builder getMetricsBuilder() {
+
+      onChanged();
+      return getMetricsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder() {
+      if (metricsBuilder_ != null) {
+        return metricsBuilder_.getMessageOrBuilder();
+      } else {
+        return metrics_ == null ? com.google.protobuf.Value.getDefaultInstance() : metrics_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+     * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+     * </pre>
+     *
+     * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getMetricsFieldBuilder() {
+      if (metricsBuilder_ == null) {
+        metricsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getMetrics(), getParentForChildren(), isClean());
+        metrics_ = null;
+      }
+      return metricsBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Timestamp when this ModelEvaluationSlice was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ModelEvaluationSlice)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ModelEvaluationSlice)
+  private static final com.google.cloud.aiplatform.v1.ModelEvaluationSlice DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ModelEvaluationSlice();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ModelEvaluationSlice getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ModelEvaluationSlice> PARSER =
+      new com.google.protobuf.AbstractParser<ModelEvaluationSlice>() {
+        @java.lang.Override
+        public ModelEvaluationSlice parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ModelEvaluationSlice(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ModelEvaluationSlice> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ModelEvaluationSlice> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelEvaluationSlice getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceName.java
new file mode 100644
index 000000000..4e39d306e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceName.java
@@ -0,0 +1,298 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class ModelEvaluationSliceName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_MODEL_EVALUATION_SLICE =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String model;
+  private final String evaluation;
+  private final String slice;
+
+  @Deprecated
+  protected ModelEvaluationSliceName() {
+    project = null;
+    location = null;
+    model = null;
+    evaluation = null;
+    slice = null;
+  }
+
+  private ModelEvaluationSliceName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    model = Preconditions.checkNotNull(builder.getModel());
+    evaluation = Preconditions.checkNotNull(builder.getEvaluation());
+    slice = Preconditions.checkNotNull(builder.getSlice());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getModel() {
+    return model;
+  }
+
+  public String getEvaluation() {
+    return evaluation;
+  }
+
+  public String getSlice() {
+    return slice;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static ModelEvaluationSliceName of(
+      String project, String location, String model, String evaluation, String slice) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setModel(model)
+        .setEvaluation(evaluation)
+        .setSlice(slice)
+        .build();
+  }
+
+  public static String format(
+      String project, String location, String model, String evaluation, String slice) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setModel(model)
+        .setEvaluation(evaluation)
+        .setSlice(slice)
+        .build()
+        .toString();
+  }
+
+  public static ModelEvaluationSliceName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_MODEL_EVALUATION_SLICE.validatedMatch(
+            formattedString, "ModelEvaluationSliceName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("model"),
+        matchMap.get("evaluation"),
+        matchMap.get("slice"));
+  }
+
+  public static List<ModelEvaluationSliceName> parseList(List<String> formattedStrings) {
+    List<ModelEvaluationSliceName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<ModelEvaluationSliceName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (ModelEvaluationSliceName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_MODEL_EVALUATION_SLICE.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (model != null) {
+            fieldMapBuilder.put("model", model);
+          }
+          if (evaluation != null) {
+            fieldMapBuilder.put("evaluation", evaluation);
+          }
+          if (slice != null) {
+            fieldMapBuilder.put("slice", slice);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_MODEL_EVALUATION_SLICE.instantiate(
+        "project",
+        project,
+        "location",
+        location,
+        "model",
+        model,
+        "evaluation",
+        evaluation,
+        "slice",
+        slice);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      ModelEvaluationSliceName that = ((ModelEvaluationSliceName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.model, that.model)
+          && Objects.equals(this.evaluation, that.evaluation)
+          && Objects.equals(this.slice, that.slice);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(model);
+    h *= 1000003;
+    h ^= Objects.hashCode(evaluation);
+    h *= 1000003;
+    h ^= Objects.hashCode(slice);
+    return h;
+  }
+
+  /**
+   * Builder for
+   * projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}.
+   */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String model;
+    private String evaluation;
+    private String slice;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getModel() {
+      return model;
+    }
+
+    public String getEvaluation() {
+      return evaluation;
+    }
+
+    public String getSlice() {
+      return slice;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setModel(String model) {
+      this.model = model;
+      return this;
+    }
+
+    public Builder setEvaluation(String evaluation) {
+      this.evaluation = evaluation;
+      return this;
+    }
+
+    public Builder setSlice(String slice) {
+      this.slice = slice;
+      return this;
+    }
+
+    private Builder(ModelEvaluationSliceName modelEvaluationSliceName) {
+      project = modelEvaluationSliceName.project;
+      location = modelEvaluationSliceName.location;
+      model = modelEvaluationSliceName.model;
+      evaluation = modelEvaluationSliceName.evaluation;
+      slice = modelEvaluationSliceName.slice;
+    }
+
+    public ModelEvaluationSliceName build() {
+      return new ModelEvaluationSliceName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceOrBuilder.java
new file mode 100644
index 000000000..2dc3feebb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceOrBuilder.java
@@ -0,0 +1,198 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_evaluation_slice.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ModelEvaluationSliceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ModelEvaluationSlice)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the ModelEvaluationSlice.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the ModelEvaluationSlice.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The slice of the test data that is used to evaluate the Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the slice field is set.
+   */
+  boolean hasSlice();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The slice of the test data that is used to evaluate the Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The slice.
+   */
+  com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice getSlice();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The slice of the test data that is used to evaluate the Model.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ModelEvaluationSlice.SliceOrBuilder getSliceOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+   * schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * </pre>
+   *
+   * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The metricsSchemaUri.
+   */
+  java.lang.String getMetricsSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Points to a YAML file stored on Google Cloud Storage describing the
+   * [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+   * schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * </pre>
+   *
+   * <code>string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for metricsSchemaUri.
+   */
+  com.google.protobuf.ByteString getMetricsSchemaUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the metrics field is set.
+   */
+  boolean hasMetrics();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The metrics.
+   */
+  com.google.protobuf.Value getMetrics();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+   * in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  com.google.protobuf.ValueOrBuilder getMetricsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluationSlice was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluationSlice was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this ModelEvaluationSlice was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceProto.java
new file mode 100644
index 000000000..f946cf783
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelEvaluationSliceProto.java
@@ -0,0 +1,111 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_evaluation_slice.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class ModelEvaluationSliceProto {
+  private ModelEvaluationSliceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_Slice_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_Slice_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n7google/cloud/aiplatform/v1/model_evalu"
+          + "ation_slice.proto\022\032google.cloud.aiplatfo"
+          + "rm.v1\032\037google/api/field_behavior.proto\032\031"
+          + "google/api/resource.proto\032\034google/protob"
+          + "uf/struct.proto\032\037google/protobuf/timesta"
+          + "mp.proto\032\034google/api/annotations.proto\"\306"
+          + "\003\n\024ModelEvaluationSlice\022\021\n\004name\030\001 \001(\tB\003\340"
+          + "A\003\022J\n\005slice\030\002 \001(\01326.google.cloud.aiplatf"
+          + "orm.v1.ModelEvaluationSlice.SliceB\003\340A\003\022\037"
+          + "\n\022metrics_schema_uri\030\003 \001(\tB\003\340A\003\022,\n\007metri"
+          + "cs\030\004 \001(\0132\026.google.protobuf.ValueB\003\340A\003\0224\n"
+          + "\013create_time\030\005 \001(\0132\032.google.protobuf.Tim"
+          + "estampB\003\340A\003\0323\n\005Slice\022\026\n\tdimension\030\001 \001(\tB"
+          + "\003\340A\003\022\022\n\005value\030\002 \001(\tB\003\340A\003:\224\001\352A\220\001\n.aiplatf"
+          + "orm.googleapis.com/ModelEvaluationSlice\022"
+          + "^projects/{project}/locations/{location}"
+          + "/models/{model}/evaluations/{evaluation}"
+          + "/slices/{slice}B\203\001\n\036com.google.cloud.aip"
+          + "latform.v1B\031ModelEvaluationSliceProtoP\001Z"
+          + "Dgoogle.golang.org/genproto/googleapis/c"
+          + "loud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_descriptor,
+            new java.lang.String[] {
+              "Name", "Slice", "MetricsSchemaUri", "Metrics", "CreateTime",
+            });
+    internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_Slice_descriptor =
+        internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_Slice_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ModelEvaluationSlice_Slice_descriptor,
+            new java.lang.String[] {
+              "Dimension", "Value",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelName.java
new file mode 100644
index 000000000..56209629d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelName.java
@@ -0,0 +1,223 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class ModelName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_MODEL =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/models/{model}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String model;
+
+  @Deprecated
+  protected ModelName() {
+    project = null;
+    location = null;
+    model = null;
+  }
+
+  private ModelName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    model = Preconditions.checkNotNull(builder.getModel());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getModel() {
+    return model;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static ModelName of(String project, String location, String model) {
+    return newBuilder().setProject(project).setLocation(location).setModel(model).build();
+  }
+
+  public static String format(String project, String location, String model) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setModel(model)
+        .build()
+        .toString();
+  }
+
+  public static ModelName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_MODEL.validatedMatch(
+            formattedString, "ModelName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("model"));
+  }
+
+  public static List<ModelName> parseList(List<String> formattedStrings) {
+    List<ModelName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<ModelName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (ModelName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_MODEL.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (model != null) {
+            fieldMapBuilder.put("model", model);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_MODEL.instantiate(
+        "project", project, "location", location, "model", model);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      ModelName that = ((ModelName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.model, that.model);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(model);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/models/{model}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String model;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getModel() {
+      return model;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setModel(String model) {
+      this.model = model;
+      return this;
+    }
+
+    private Builder(ModelName modelName) {
+      project = modelName.project;
+      location = modelName.location;
+      model = modelName.model;
+    }
+
+    public ModelName build() {
+      return new ModelName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelOrBuilder.java
new file mode 100644
index 000000000..75b5609bb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelOrBuilder.java
@@ -0,0 +1,1147 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ModelOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Model)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The resource name of the Model.
+   * </pre>
+   *
+   * <code>string name = 1;</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * The resource name of the Model.
+   * </pre>
+   *
+   * <code>string name = 1;</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the Model.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The display name of the Model.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The description of the Model.
+   * </pre>
+   *
+   * <code>string description = 3;</code>
+   *
+   * @return The description.
+   */
+  java.lang.String getDescription();
+  /**
+   *
+   *
+   * <pre>
+   * The description of the Model.
+   * </pre>
+   *
+   * <code>string description = 3;</code>
+   *
+   * @return The bytes for description.
+   */
+  com.google.protobuf.ByteString getDescriptionBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The schemata that describe formats of the Model's predictions and
+   * explanations as given and returned via
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+   *
+   * @return Whether the predictSchemata field is set.
+   */
+  boolean hasPredictSchemata();
+  /**
+   *
+   *
+   * <pre>
+   * The schemata that describe formats of the Model's predictions and
+   * explanations as given and returned via
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+   *
+   * @return The predictSchemata.
+   */
+  com.google.cloud.aiplatform.v1.PredictSchemata getPredictSchemata();
+  /**
+   *
+   *
+   * <pre>
+   * The schemata that describe formats of the Model's predictions and
+   * explanations as given and returned via
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PredictSchemata predict_schemata = 4;</code>
+   */
+  com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder getPredictSchemataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+   * information about the Model, that is specific to it. Unset if the Model
+   * does not have any additional information.
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform, if no
+   * additional metadata is needed, this field is set to an empty string.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The metadataSchemaUri.
+   */
+  java.lang.String getMetadataSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+   * information about the Model, that is specific to it. Unset if the Model
+   * does not have any additional information.
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform, if no
+   * additional metadata is needed, this field is set to an empty string.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for metadataSchemaUri.
+   */
+  com.google.protobuf.ByteString getMetadataSchemaUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An additional information about the Model; the schema of the metadata can
+   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Unset if the Model does not have any additional information.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  boolean hasMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An additional information about the Model; the schema of the metadata can
+   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Unset if the Model does not have any additional information.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The metadata.
+   */
+  com.google.protobuf.Value getMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. An additional information about the Model; the schema of the metadata can
+   * be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+   * Unset if the Model does not have any additional information.
+   * </pre>
+   *
+   * <code>.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   */
+  com.google.protobuf.ValueOrBuilder getMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Model.ExportFormat> getSupportedExportFormatsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.Model.ExportFormat getSupportedExportFormats(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getSupportedExportFormatsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder>
+      getSupportedExportFormatsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats in which this Model may be exported. If empty, this Model is
+   * not available for export.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.Model.ExportFormatOrBuilder getSupportedExportFormatsOrBuilder(
+      int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+   * </pre>
+   *
+   * <code>
+   * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The trainingPipeline.
+   */
+  java.lang.String getTrainingPipeline();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+   * </pre>
+   *
+   * <code>
+   * string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for trainingPipeline.
+   */
+  com.google.protobuf.ByteString getTrainingPipelineBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Input only. The specification of the container that is to be used when deploying
+   * this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+   * and stored internally by AI Platform.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the containerSpec field is set.
+   */
+  boolean hasContainerSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Input only. The specification of the container that is to be used when deploying
+   * this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+   * and stored internally by AI Platform.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+   * </code>
+   *
+   * @return The containerSpec.
+   */
+  com.google.cloud.aiplatform.v1.ModelContainerSpec getContainerSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Input only. The specification of the container that is to be used when deploying
+   * this Model. The specification is ingested upon
+   * [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+   * and stored internally by AI Platform.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ModelContainerSpecOrBuilder getContainerSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The path to the directory containing the Model artifact and any of its
+   * supporting files.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The artifactUri.
+   */
+  java.lang.String getArtifactUri();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. The path to the directory containing the Model artifact and any of its
+   * supporting files.
+   * Not present for AutoML Models.
+   * </pre>
+   *
+   * <code>string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for artifactUri.
+   */
+  com.google.protobuf.ByteString getArtifactUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the supportedDeploymentResourcesTypes.
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType>
+      getSupportedDeploymentResourcesTypesList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The count of supportedDeploymentResourcesTypes.
+   */
+  int getSupportedDeploymentResourcesTypesCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The supportedDeploymentResourcesTypes at the given index.
+   */
+  com.google.cloud.aiplatform.v1.Model.DeploymentResourcesType getSupportedDeploymentResourcesTypes(
+      int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the enum numeric values on the wire for
+   *     supportedDeploymentResourcesTypes.
+   */
+  java.util.List<java.lang.Integer> getSupportedDeploymentResourcesTypesValueList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. When this Model is deployed, its prediction resources are described by the
+   * `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+   * Because not all Models support all resource configuration types, the
+   * configuration types this Model supports are listed here. If no
+   * configuration types are listed, the Model cannot be deployed to an
+   * [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+   * online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][]). Such a Model can serve predictions by
+   * using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+   * [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+   * [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The enum numeric value on the wire of supportedDeploymentResourcesTypes at the given
+   *     index.
+   */
+  int getSupportedDeploymentResourcesTypesValue(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+   * should be given as per that schema.
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each instance is a single line. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `csv`
+   * The CSV format, where each instance is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record`
+   * The TFRecord format, where each instance is a single record in tfrecord
+   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record-gzip`
+   * Similar to `tf-record`, but the file is gzipped. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `bigquery`
+   * Each instance is a single row in BigQuery. Uses
+   * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the supportedInputStorageFormats.
+   */
+  java.util.List<java.lang.String> getSupportedInputStorageFormatsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+   * should be given as per that schema.
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each instance is a single line. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `csv`
+   * The CSV format, where each instance is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record`
+   * The TFRecord format, where each instance is a single record in tfrecord
+   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record-gzip`
+   * Similar to `tf-record`, but the file is gzipped. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `bigquery`
+   * Each instance is a single row in BigQuery. Uses
+   * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The count of supportedInputStorageFormats.
+   */
+  int getSupportedInputStorageFormatsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+   * should be given as per that schema.
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each instance is a single line. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `csv`
+   * The CSV format, where each instance is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record`
+   * The TFRecord format, where each instance is a single record in tfrecord
+   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record-gzip`
+   * Similar to `tf-record`, but the file is gzipped. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `bigquery`
+   * Each instance is a single row in BigQuery. Uses
+   * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The supportedInputStorageFormats at the given index.
+   */
+  java.lang.String getSupportedInputStorageFormats(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+   * should be given as per that schema.
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each instance is a single line. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `csv`
+   * The CSV format, where each instance is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record`
+   * The TFRecord format, where each instance is a single record in tfrecord
+   * syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `tf-record-gzip`
+   * Similar to `tf-record`, but the file is gzipped. Uses
+   * [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+   * * `bigquery`
+   * Each instance is a single row in BigQuery. Uses
+   * [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the supportedInputStorageFormats at the given index.
+   */
+  com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+   * are returned together with their instances. In other words, the
+   * prediction has the original instance data first, followed
+   * by the actual prediction content (as per the schema).
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each prediction is a single line. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `csv`
+   * The CSV format, where each prediction is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `bigquery`
+   * Each prediction is a single row in a BigQuery table, uses
+   * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+   * .
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the supportedOutputStorageFormats.
+   */
+  java.util.List<java.lang.String> getSupportedOutputStorageFormatsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+   * are returned together with their instances. In other words, the
+   * prediction has the original instance data first, followed
+   * by the actual prediction content (as per the schema).
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each prediction is a single line. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `csv`
+   * The CSV format, where each prediction is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `bigquery`
+   * Each prediction is a single row in a BigQuery table, uses
+   * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+   * .
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The count of supportedOutputStorageFormats.
+   */
+  int getSupportedOutputStorageFormatsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+   * are returned together with their instances. In other words, the
+   * prediction has the original instance data first, followed
+   * by the actual prediction content (as per the schema).
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each prediction is a single line. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `csv`
+   * The CSV format, where each prediction is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `bigquery`
+   * Each prediction is a single row in a BigQuery table, uses
+   * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+   * .
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The supportedOutputStorageFormats at the given index.
+   */
+  java.lang.String getSupportedOutputStorageFormats(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The formats this Model supports in
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+   * [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+   * [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+   * are returned together with their instances. In other words, the
+   * prediction has the original instance data first, followed
+   * by the actual prediction content (as per the schema).
+   * The possible formats are:
+   * * `jsonl`
+   * The JSON Lines format, where each prediction is a single line. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `csv`
+   * The CSV format, where each prediction is a single comma-separated line.
+   * The first line in the file is the header, containing comma-separated field
+   * names. Uses
+   * [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+   * * `bigquery`
+   * Each prediction is a single row in a BigQuery table, uses
+   * [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+   * .
+   * If this Model doesn't support any of these formats it means it cannot be
+   * used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+   * [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+   * predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+   * [PredictionService.Explain][].
+   * </pre>
+   *
+   * <code>
+   * repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the supportedOutputStorageFormats at the given index.
+   */
+  com.google.protobuf.ByteString getSupportedOutputStorageFormatsBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was uploaded into AI Platform.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was uploaded into AI Platform.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was uploaded into AI Platform.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Timestamp when this Model was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.DeployedModelRef> getDeployedModelsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.DeployedModelRef getDeployedModels(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getDeployedModelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder>
+      getDeployedModelsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The pointers to DeployedModels created from this Model. Note that
+   * Model could have been deployed to Endpoints in different Locations.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.DeployedModelRefOrBuilder getDeployedModelsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 16;</code>
+   *
+   * @return The etag.
+   */
+  java.lang.String getEtag();
+  /**
+   *
+   *
+   * <pre>
+   * Used to perform consistent read-modify-write updates. If not set, a blind
+   * "overwrite" update happens.
+   * </pre>
+   *
+   * <code>string etag = 16;</code>
+   *
+   * @return The bytes for etag.
+   */
+  com.google.protobuf.ByteString getEtagBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize your Models.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 17;</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelProto.java
new file mode 100644
index 000000000..04db5dde4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelProto.java
@@ -0,0 +1,225 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class ModelProto {
+  private ModelProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Model_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Model_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Model_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Model_LabelsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_PredictSchemata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_PredictSchemata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Port_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Port_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n&google/cloud/aiplatform/v1/model.proto"
+          + "\022\032google.cloud.aiplatform.v1\032\037google/api"
+          + "/field_behavior.proto\032\031google/api/resour"
+          + "ce.proto\032(google/cloud/aiplatform/v1/dat"
+          + "aset.proto\0323google/cloud/aiplatform/v1/d"
+          + "eployed_model_ref.proto\0320google/cloud/ai"
+          + "platform/v1/encryption_spec.proto\032(googl"
+          + "e/cloud/aiplatform/v1/env_var.proto\032\034goo"
+          + "gle/protobuf/struct.proto\032\037google/protob"
+          + "uf/timestamp.proto\032\034google/api/annotatio"
+          + "ns.proto\"\335\013\n\005Model\022\014\n\004name\030\001 \001(\t\022\031\n\014disp"
+          + "lay_name\030\002 \001(\tB\003\340A\002\022\023\n\013description\030\003 \001(\t"
+          + "\022E\n\020predict_schemata\030\004 \001(\0132+.google.clou"
+          + "d.aiplatform.v1.PredictSchemata\022 \n\023metad"
+          + "ata_schema_uri\030\005 \001(\tB\003\340A\005\022-\n\010metadata\030\006 "
+          + "\001(\0132\026.google.protobuf.ValueB\003\340A\005\022U\n\030supp"
+          + "orted_export_formats\030\024 \003(\0132..google.clou"
+          + "d.aiplatform.v1.Model.ExportFormatB\003\340A\003\022"
+          + "M\n\021training_pipeline\030\007 \001(\tB2\340A\003\372A,\n*aipl"
+          + "atform.googleapis.com/TrainingPipeline\022K"
+          + "\n\016container_spec\030\t \001(\0132..google.cloud.ai"
+          + "platform.v1.ModelContainerSpecB\003\340A\004\022\031\n\014a"
+          + "rtifact_uri\030\032 \001(\tB\003\340A\005\022l\n$supported_depl"
+          + "oyment_resources_types\030\n \003(\01629.google.cl"
+          + "oud.aiplatform.v1.Model.DeploymentResour"
+          + "cesTypeB\003\340A\003\022,\n\037supported_input_storage_"
+          + "formats\030\013 \003(\tB\003\340A\003\022-\n supported_output_s"
+          + "torage_formats\030\014 \003(\tB\003\340A\003\0224\n\013create_time"
+          + "\030\r \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
+          + "4\n\013update_time\030\016 \001(\0132\032.google.protobuf.T"
+          + "imestampB\003\340A\003\022J\n\017deployed_models\030\017 \003(\0132,"
+          + ".google.cloud.aiplatform.v1.DeployedMode"
+          + "lRefB\003\340A\003\022\014\n\004etag\030\020 \001(\t\022=\n\006labels\030\021 \003(\0132"
+          + "-.google.cloud.aiplatform.v1.Model.Label"
+          + "sEntry\022C\n\017encryption_spec\030\030 \001(\0132*.google"
+          + ".cloud.aiplatform.v1.EncryptionSpec\032\325\001\n\014"
+          + "ExportFormat\022\017\n\002id\030\001 \001(\tB\003\340A\003\022b\n\023exporta"
+          + "ble_contents\030\002 \003(\0162@.google.cloud.aiplat"
+          + "form.v1.Model.ExportFormat.ExportableCon"
+          + "tentB\003\340A\003\"P\n\021ExportableContent\022\"\n\036EXPORT"
+          + "ABLE_CONTENT_UNSPECIFIED\020\000\022\014\n\010ARTIFACT\020\001"
+          + "\022\t\n\005IMAGE\020\002\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022"
+          + "\r\n\005value\030\002 \001(\t:\0028\001\"v\n\027DeploymentResource"
+          + "sType\022)\n%DEPLOYMENT_RESOURCES_TYPE_UNSPE"
+          + "CIFIED\020\000\022\027\n\023DEDICATED_RESOURCES\020\001\022\027\n\023AUT"
+          + "OMATIC_RESOURCES\020\002:\\\352AY\n\037aiplatform.goog"
+          + "leapis.com/Model\0226projects/{project}/loc"
+          + "ations/{location}/models/{model}\"{\n\017Pred"
+          + "ictSchemata\022 \n\023instance_schema_uri\030\001 \001(\t"
+          + "B\003\340A\005\022\"\n\025parameters_schema_uri\030\002 \001(\tB\003\340A"
+          + "\005\022\"\n\025prediction_schema_uri\030\003 \001(\tB\003\340A\005\"\373\001"
+          + "\n\022ModelContainerSpec\022\031\n\timage_uri\030\001 \001(\tB"
+          + "\006\340A\002\340A\005\022\024\n\007command\030\002 \003(\tB\003\340A\005\022\021\n\004args\030\003 "
+          + "\003(\tB\003\340A\005\0224\n\003env\030\004 \003(\0132\".google.cloud.aip"
+          + "latform.v1.EnvVarB\003\340A\005\0224\n\005ports\030\005 \003(\0132 ."
+          + "google.cloud.aiplatform.v1.PortB\003\340A\005\022\032\n\r"
+          + "predict_route\030\006 \001(\tB\003\340A\005\022\031\n\014health_route"
+          + "\030\007 \001(\tB\003\340A\005\"\036\n\004Port\022\026\n\016container_port\030\003 "
+          + "\001(\005Bt\n\036com.google.cloud.aiplatform.v1B\nM"
+          + "odelProtoP\001ZDgoogle.golang.org/genproto/"
+          + "googleapis/cloud/aiplatform/v1;aiplatfor"
+          + "mb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.DatasetProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.DeployedModelNameProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EnvVarProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_Model_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Model_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Model_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "Description",
+              "PredictSchemata",
+              "MetadataSchemaUri",
+              "Metadata",
+              "SupportedExportFormats",
+              "TrainingPipeline",
+              "ContainerSpec",
+              "ArtifactUri",
+              "SupportedDeploymentResourcesTypes",
+              "SupportedInputStorageFormats",
+              "SupportedOutputStorageFormats",
+              "CreateTime",
+              "UpdateTime",
+              "DeployedModels",
+              "Etag",
+              "Labels",
+              "EncryptionSpec",
+            });
+    internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_descriptor =
+        internal_static_google_cloud_aiplatform_v1_Model_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Model_ExportFormat_descriptor,
+            new java.lang.String[] {
+              "Id", "ExportableContents",
+            });
+    internal_static_google_cloud_aiplatform_v1_Model_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_Model_descriptor.getNestedTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_Model_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Model_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_PredictSchemata_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_PredictSchemata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_PredictSchemata_descriptor,
+            new java.lang.String[] {
+              "InstanceSchemaUri", "ParametersSchemaUri", "PredictionSchemaUri",
+            });
+    internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ModelContainerSpec_descriptor,
+            new java.lang.String[] {
+              "ImageUri", "Command", "Args", "Env", "Ports", "PredictRoute", "HealthRoute",
+            });
+    internal_static_google_cloud_aiplatform_v1_Port_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_Port_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Port_descriptor,
+            new java.lang.String[] {
+              "ContainerPort",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.DatasetProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.DeployedModelNameProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EnvVarProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceProto.java
new file mode 100644
index 000000000..01d27a837
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceProto.java
@@ -0,0 +1,442 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class ModelServiceProto {
+  private ModelServiceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UploadModelRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UploadModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UploadModelResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UploadModelResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GetModelRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GetModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListModelsRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListModelsRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListModelsResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListModelsResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ExportModelRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ExportModelRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ExportModelResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ExportModelResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GetModelEvaluationSliceRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GetModelEvaluationSliceRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesResponse_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
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+          + "delOperationMetadata\022N\n\020generic_metadata"
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+          + "ame\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis"
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+          + "nt\030\001 \001(\tB)\340A\002\372A#\n!locations.googleapis.c"
+          + "om/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size"
+          + "\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_mask\030"
+          + "\005 \001(\0132\032.google.protobuf.FieldMask\022\020\n\010ord"
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+          + "els\030\001 \003(\0132!.google.cloud.aiplatform.v1.M"
+          + "odel\022\027\n\017next_page_token\030\002 \001(\t\"\201\001\n\022Update"
+          + "ModelRequest\0225\n\005model\030\001 \001(\0132!.google.clo"
+          + "ud.aiplatform.v1.ModelB\003\340A\002\0224\n\013update_ma"
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+          + "\002\"K\n\022DeleteModelRequest\0225\n\004name\030\001 \001(\tB\'\340"
+          + "A\002\372A!\n\037aiplatform.googleapis.com/Model\"\356"
+          + "\002\n\022ExportModelRequest\0225\n\004name\030\001 \001(\tB\'\340A\002"
+          + "\372A!\n\037aiplatform.googleapis.com/Model\022W\n\r"
+          + "output_config\030\002 \001(\0132;.google.cloud.aipla"
+          + "tform.v1.ExportModelRequest.OutputConfig"
+          + "B\003\340A\002\032\307\001\n\014OutputConfig\022\030\n\020export_format_"
+          + "id\030\001 \001(\t\022H\n\024artifact_destination\030\003 \001(\0132*"
+          + ".google.cloud.aiplatform.v1.GcsDestinati"
+          + "on\022S\n\021image_destination\030\004 \001(\01328.google.c"
+          + "loud.aiplatform.v1.ContainerRegistryDest"
+          + "ination\"\234\002\n\034ExportModelOperationMetadata"
+          + "\022N\n\020generic_metadata\030\001 \001(\01324.google.clou"
+          + "d.aiplatform.v1.GenericOperationMetadata"
+          + "\022]\n\013output_info\030\002 \001(\0132C.google.cloud.aip"
+          + "latform.v1.ExportModelOperationMetadata."
+          + "OutputInfoB\003\340A\003\032M\n\nOutputInfo\022 \n\023artifac"
+          + "t_output_uri\030\002 \001(\tB\003\340A\003\022\035\n\020image_output_"
+          + "uri\030\003 \001(\tB\003\340A\003\"\025\n\023ExportModelResponse\"\\\n"
+          + "\031GetModelEvaluationRequest\022?\n\004name\030\001 \001(\t"
+          + "B1\340A\002\372A+\n)aiplatform.googleapis.com/Mode"
+          + "lEvaluation\"\274\001\n\033ListModelEvaluationsRequ"
+          + "est\0227\n\006parent\030\001 \001(\tB\'\340A\002\372A!\n\037aiplatform."
+          + "googleapis.com/Model\022\016\n\006filter\030\002 \001(\t\022\021\n\t"
+          + "page_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tr"
+          + "ead_mask\030\005 \001(\0132\032.google.protobuf.FieldMa"
+          + "sk\"\177\n\034ListModelEvaluationsResponse\022F\n\021mo"
+          + "del_evaluations\030\001 \003(\0132+.google.cloud.aip"
+          + "latform.v1.ModelEvaluation\022\027\n\017next_page_"
+          + "token\030\002 \001(\t\"f\n\036GetModelEvaluationSliceRe"
+          + "quest\022D\n\004name\030\001 \001(\tB6\340A\002\372A0\n.aiplatform."
+          + "googleapis.com/ModelEvaluationSlice\"\313\001\n "
+          + "ListModelEvaluationSlicesRequest\022A\n\006pare"
+          + "nt\030\001 \001(\tB1\340A\002\372A+\n)aiplatform.googleapis."
+          + "com/ModelEvaluation\022\016\n\006filter\030\002 \001(\t\022\021\n\tp"
+          + "age_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tre"
+          + "ad_mask\030\005 \001(\0132\032.google.protobuf.FieldMas"
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+          + "Q\n\027model_evaluation_slices\030\001 \003(\01320.googl"
+          + "e.cloud.aiplatform.v1.ModelEvaluationSli"
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+          + "vice\022\340\001\n\013UploadModel\022..google.cloud.aipl"
+          + "atform.v1.UploadModelRequest\032\035.google.lo"
+          + "ngrunning.Operation\"\201\001\202\323\344\223\0026\"1/v1/{paren"
+          + "t=projects/*/locations/*}/models:upload:"
+          + "\001*\332A\014parent,model\312A3\n\023UploadModelRespons"
+          + "e\022\034UploadModelOperationMetadata\022\225\001\n\010GetM"
+          + "odel\022+.google.cloud.aiplatform.v1.GetMod"
+          + "elRequest\032!.google.cloud.aiplatform.v1.M"
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+          + "ions/*/models/*}\332A\004name\022\250\001\n\nListModels\022-"
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+          + "cts/*/locations/*}/models\332A\006parent\022\265\001\n\013U"
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+          + "UpdateModelRequest\032!.google.cloud.aiplat"
+          + "form.v1.Model\"S\202\323\344\223\002920/v1/{model.name=p"
+          + "rojects/*/locations/*/models/*}:\005model\332A"
+          + "\021model,update_mask\022\312\001\n\013DeleteModel\022..goo"
+          + "gle.cloud.aiplatform.v1.DeleteModelReque"
+          + "st\032\035.google.longrunning.Operation\"l\202\323\344\223\002"
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+          + "DeleteOperationMetadata\022\346\001\n\013ExportModel\022"
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+          + "\332A\004name\022\354\001\n\031ListModelEvaluationSlices\022<."
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+          + "tform.v1.ListModelEvaluationSlicesRespon"
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+          + "\021ModelServiceProtoP\001ZDgoogle.golang.org/"
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+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+              com.google.api.ClientProto.getDescriptor(),
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.IoProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.ModelProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.ModelEvaluationProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.ModelEvaluationSliceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.OperationProto.getDescriptor(),
+              com.google.longrunning.OperationsProto.getDescriptor(),
+              com.google.protobuf.FieldMaskProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_UploadModelRequest_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_UploadModelRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UploadModelRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Model",
+            });
+    internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "GenericMetadata",
+            });
+    internal_static_google_cloud_aiplatform_v1_UploadModelResponse_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_UploadModelResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UploadModelResponse_descriptor,
+            new java.lang.String[] {
+              "Model",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetModelRequest_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_GetModelRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetModelRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListModelsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_ListModelsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListModelsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask", "OrderBy",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListModelsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_ListModelsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListModelsResponse_descriptor,
+            new java.lang.String[] {
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+    internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_descriptor =
+        getDescriptor().getMessageTypes().get(6);
+    internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_fieldAccessorTable =
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+            internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_descriptor,
+            new java.lang.String[] {
+              "Model", "UpdateMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_descriptor =
+        getDescriptor().getMessageTypes().get(7);
+    internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteModelRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ExportModelRequest_descriptor =
+        getDescriptor().getMessageTypes().get(8);
+    internal_static_google_cloud_aiplatform_v1_ExportModelRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ExportModelRequest_descriptor,
+            new java.lang.String[] {
+              "Name", "OutputConfig",
+            });
+    internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_descriptor =
+        internal_static_google_cloud_aiplatform_v1_ExportModelRequest_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_descriptor,
+            new java.lang.String[] {
+              "ExportFormatId", "ArtifactDestination", "ImageDestination",
+            });
+    internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(9);
+    internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "GenericMetadata", "OutputInfo",
+            });
+    internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_descriptor =
+        internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ExportModelOperationMetadata_OutputInfo_descriptor,
+            new java.lang.String[] {
+              "ArtifactOutputUri", "ImageOutputUri",
+            });
+    internal_static_google_cloud_aiplatform_v1_ExportModelResponse_descriptor =
+        getDescriptor().getMessageTypes().get(10);
+    internal_static_google_cloud_aiplatform_v1_ExportModelResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ExportModelResponse_descriptor,
+            new java.lang.String[] {});
+    internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_descriptor =
+        getDescriptor().getMessageTypes().get(11);
+    internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetModelEvaluationRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(12);
+    internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(13);
+    internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListModelEvaluationsResponse_descriptor,
+            new java.lang.String[] {
+              "ModelEvaluations", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetModelEvaluationSliceRequest_descriptor =
+        getDescriptor().getMessageTypes().get(14);
+    internal_static_google_cloud_aiplatform_v1_GetModelEvaluationSliceRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetModelEvaluationSliceRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesRequest_descriptor =
+        getDescriptor().getMessageTypes().get(15);
+    internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesResponse_descriptor =
+        getDescriptor().getMessageTypes().get(16);
+    internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListModelEvaluationSlicesResponse_descriptor,
+            new java.lang.String[] {
+              "ModelEvaluationSlices", "NextPageToken",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.ClientProto.defaultHost);
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.AnnotationsProto.http);
+    registry.add(com.google.api.ClientProto.methodSignature);
+    registry.add(com.google.api.ClientProto.oauthScopes);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    registry.add(com.google.longrunning.OperationsProto.operationInfo);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.api.ClientProto.getDescriptor();
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.IoProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.ModelProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.ModelEvaluationProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.ModelEvaluationSliceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.OperationProto.getDescriptor();
+    com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.protobuf.FieldMaskProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/OperationProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/OperationProto.java
new file mode 100644
index 000000000..ed01380f6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/OperationProto.java
@@ -0,0 +1,101 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/operation.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class OperationProto {
+  private OperationProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n*google/cloud/aiplatform/v1/operation.p"
+          + "roto\022\032google.cloud.aiplatform.v1\032\037google"
+          + "/api/field_behavior.proto\032\037google/protob"
+          + "uf/timestamp.proto\032\027google/rpc/status.pr"
+          + "oto\032\034google/api/annotations.proto\"\271\001\n\030Ge"
+          + "nericOperationMetadata\0221\n\020partial_failur"
+          + "es\030\001 \003(\0132\022.google.rpc.StatusB\003\340A\003\0224\n\013cre"
+          + "ate_time\030\002 \001(\0132\032.google.protobuf.Timesta"
+          + "mpB\003\340A\003\0224\n\013update_time\030\003 \001(\0132\032.google.pr"
+          + "otobuf.TimestampB\003\340A\003\"i\n\027DeleteOperation"
+          + "Metadata\022N\n\020generic_metadata\030\001 \001(\01324.goo"
+          + "gle.cloud.aiplatform.v1.GenericOperation"
+          + "MetadataBx\n\036com.google.cloud.aiplatform."
+          + "v1B\016OperationProtoP\001ZDgoogle.golang.org/"
+          + "genproto/googleapis/cloud/aiplatform/v1;"
+          + "aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GenericOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "PartialFailures", "CreateTime", "UpdateTime",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "GenericMetadata",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceProto.java
new file mode 100644
index 000000000..0c7042e77
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceProto.java
@@ -0,0 +1,209 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class PipelineServiceProto {
+  private PipelineServiceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n1google/cloud/aiplatform/v1/pipeline_se"
+          + "rvice.proto\022\032google.cloud.aiplatform.v1\032"
+          + "\034google/api/annotations.proto\032\027google/ap"
+          + "i/client.proto\032\037google/api/field_behavio"
+          + "r.proto\032\031google/api/resource.proto\0322goog"
+          + "le/cloud/aiplatform/v1/training_pipeline"
+          + ".proto\032#google/longrunning/operations.pr"
+          + "oto\032\033google/protobuf/empty.proto\032 google"
+          + "/protobuf/field_mask.proto\"\250\001\n\035CreateTra"
+          + "iningPipelineRequest\0229\n\006parent\030\001 \001(\tB)\340A"
+          + "\002\372A#\n!locations.googleapis.com/Location\022"
+          + "L\n\021training_pipeline\030\002 \001(\0132,.google.clou"
+          + "d.aiplatform.v1.TrainingPipelineB\003\340A\002\"^\n"
+          + "\032GetTrainingPipelineRequest\022@\n\004name\030\001 \001("
+          + "\tB2\340A\002\372A,\n*aiplatform.googleapis.com/Tra"
+          + "iningPipeline\"\277\001\n\034ListTrainingPipelinesR"
+          + "equest\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!location"
+          + "s.googleapis.com/Location\022\016\n\006filter\030\002 \001("
+          + "\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t"
+          + "\022-\n\tread_mask\030\005 \001(\0132\032.google.protobuf.Fi"
+          + "eldMask\"\202\001\n\035ListTrainingPipelinesRespons"
+          + "e\022H\n\022training_pipelines\030\001 \003(\0132,.google.c"
+          + "loud.aiplatform.v1.TrainingPipeline\022\027\n\017n"
+          + "ext_page_token\030\002 \001(\t\"a\n\035DeleteTrainingPi"
+          + "pelineRequest\022@\n\004name\030\001 \001(\tB2\340A\002\372A,\n*aip"
+          + "latform.googleapis.com/TrainingPipeline\""
+          + "a\n\035CancelTrainingPipelineRequest\022@\n\004name"
+          + "\030\001 \001(\tB2\340A\002\372A,\n*aiplatform.googleapis.co"
+          + "m/TrainingPipeline2\230\t\n\017PipelineService\022\356"
+          + "\001\n\026CreateTrainingPipeline\0229.google.cloud"
+          + ".aiplatform.v1.CreateTrainingPipelineReq"
+          + "uest\032,.google.cloud.aiplatform.v1.Traini"
+          + "ngPipeline\"k\202\323\344\223\002J\"5/v1/{parent=projects"
+          + "/*/locations/*}/trainingPipelines:\021train"
+          + "ing_pipeline\332A\030parent,training_pipeline\022"
+          + "\301\001\n\023GetTrainingPipeline\0226.google.cloud.a"
+          + "iplatform.v1.GetTrainingPipelineRequest\032"
+          + ",.google.cloud.aiplatform.v1.TrainingPip"
+          + "eline\"D\202\323\344\223\0027\0225/v1/{name=projects/*/loca"
+          + "tions/*/trainingPipelines/*}\332A\004name\022\324\001\n\025"
+          + "ListTrainingPipelines\0228.google.cloud.aip"
+          + "latform.v1.ListTrainingPipelinesRequest\032"
+          + "9.google.cloud.aiplatform.v1.ListTrainin"
+          + "gPipelinesResponse\"F\202\323\344\223\0027\0225/v1/{parent="
+          + "projects/*/locations/*}/trainingPipeline"
+          + "s\332A\006parent\022\353\001\n\026DeleteTrainingPipeline\0229."
+          + "google.cloud.aiplatform.v1.DeleteTrainin"
+          + "gPipelineRequest\032\035.google.longrunning.Op"
+          + "eration\"w\202\323\344\223\0027*5/v1/{name=projects/*/lo"
+          + "cations/*/trainingPipelines/*}\332A\004name\312A0"
+          + "\n\025google.protobuf.Empty\022\027DeleteOperation"
+          + "Metadata\022\273\001\n\026CancelTrainingPipeline\0229.go"
+          + "ogle.cloud.aiplatform.v1.CancelTrainingP"
+          + "ipelineRequest\032\026.google.protobuf.Empty\"N"
+          + "\202\323\344\223\002A\"</v1/{name=projects/*/locations/*"
+          + "/trainingPipelines/*}:cancel:\001*\332A\004name\032M"
+          + "\312A\031aiplatform.googleapis.com\322A.https://w"
+          + "ww.googleapis.com/auth/cloud-platformB~\n"
+          + "\036com.google.cloud.aiplatform.v1B\024Pipelin"
+          + "eServiceProtoP\001ZDgoogle.golang.org/genpr"
+          + "oto/googleapis/cloud/aiplatform/v1;aipla"
+          + "tformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+              com.google.api.ClientProto.getDescriptor(),
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.TrainingPipelineProto.getDescriptor(),
+              com.google.longrunning.OperationsProto.getDescriptor(),
+              com.google.protobuf.EmptyProto.getDescriptor(),
+              com.google.protobuf.FieldMaskProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateTrainingPipelineRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "TrainingPipeline",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetTrainingPipelineRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesRequest_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "Filter", "PageSize", "PageToken", "ReadMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListTrainingPipelinesResponse_descriptor,
+            new java.lang.String[] {
+              "TrainingPipelines", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CancelTrainingPipelineRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.ClientProto.defaultHost);
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.AnnotationsProto.http);
+    registry.add(com.google.api.ClientProto.methodSignature);
+    registry.add(com.google.api.ClientProto.oauthScopes);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    registry.add(com.google.longrunning.OperationsProto.operationInfo);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.api.ClientProto.getDescriptor();
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.TrainingPipelineProto.getDescriptor();
+    com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.protobuf.EmptyProto.getDescriptor();
+    com.google.protobuf.FieldMaskProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineState.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineState.java
new file mode 100644
index 000000000..ca352eadf
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineState.java
@@ -0,0 +1,314 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_state.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Describes the state of a pipeline.
+ * </pre>
+ *
+ * Protobuf enum {@code google.cloud.aiplatform.v1.PipelineState}
+ */
+public enum PipelineState implements com.google.protobuf.ProtocolMessageEnum {
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline state is unspecified.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_UNSPECIFIED = 0;</code>
+   */
+  PIPELINE_STATE_UNSPECIFIED(0),
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline has been just created or resumed and processing has not yet
+   * begun.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_QUEUED = 1;</code>
+   */
+  PIPELINE_STATE_QUEUED(1),
+  /**
+   *
+   *
+   * <pre>
+   * The service is preparing to run the pipeline.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_PENDING = 2;</code>
+   */
+  PIPELINE_STATE_PENDING(2),
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline is in progress.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_RUNNING = 3;</code>
+   */
+  PIPELINE_STATE_RUNNING(3),
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline completed successfully.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_SUCCEEDED = 4;</code>
+   */
+  PIPELINE_STATE_SUCCEEDED(4),
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline failed.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_FAILED = 5;</code>
+   */
+  PIPELINE_STATE_FAILED(5),
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline is being cancelled. From this state the pipeline may only go
+   * to either PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED or
+   * PIPELINE_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_CANCELLING = 6;</code>
+   */
+  PIPELINE_STATE_CANCELLING(6),
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline has been cancelled.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_CANCELLED = 7;</code>
+   */
+  PIPELINE_STATE_CANCELLED(7),
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline has been stopped, and can be resumed.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_PAUSED = 8;</code>
+   */
+  PIPELINE_STATE_PAUSED(8),
+  UNRECOGNIZED(-1),
+  ;
+
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline state is unspecified.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_UNSPECIFIED = 0;</code>
+   */
+  public static final int PIPELINE_STATE_UNSPECIFIED_VALUE = 0;
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline has been just created or resumed and processing has not yet
+   * begun.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_QUEUED = 1;</code>
+   */
+  public static final int PIPELINE_STATE_QUEUED_VALUE = 1;
+  /**
+   *
+   *
+   * <pre>
+   * The service is preparing to run the pipeline.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_PENDING = 2;</code>
+   */
+  public static final int PIPELINE_STATE_PENDING_VALUE = 2;
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline is in progress.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_RUNNING = 3;</code>
+   */
+  public static final int PIPELINE_STATE_RUNNING_VALUE = 3;
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline completed successfully.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_SUCCEEDED = 4;</code>
+   */
+  public static final int PIPELINE_STATE_SUCCEEDED_VALUE = 4;
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline failed.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_FAILED = 5;</code>
+   */
+  public static final int PIPELINE_STATE_FAILED_VALUE = 5;
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline is being cancelled. From this state the pipeline may only go
+   * to either PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED or
+   * PIPELINE_STATE_CANCELLED.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_CANCELLING = 6;</code>
+   */
+  public static final int PIPELINE_STATE_CANCELLING_VALUE = 6;
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline has been cancelled.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_CANCELLED = 7;</code>
+   */
+  public static final int PIPELINE_STATE_CANCELLED_VALUE = 7;
+  /**
+   *
+   *
+   * <pre>
+   * The pipeline has been stopped, and can be resumed.
+   * </pre>
+   *
+   * <code>PIPELINE_STATE_PAUSED = 8;</code>
+   */
+  public static final int PIPELINE_STATE_PAUSED_VALUE = 8;
+
+  public final int getNumber() {
+    if (this == UNRECOGNIZED) {
+      throw new java.lang.IllegalArgumentException(
+          "Can't get the number of an unknown enum value.");
+    }
+    return value;
+  }
+
+  /**
+   * @param value The numeric wire value of the corresponding enum entry.
+   * @return The enum associated with the given numeric wire value.
+   * @deprecated Use {@link #forNumber(int)} instead.
+   */
+  @java.lang.Deprecated
+  public static PipelineState valueOf(int value) {
+    return forNumber(value);
+  }
+
+  /**
+   * @param value The numeric wire value of the corresponding enum entry.
+   * @return The enum associated with the given numeric wire value.
+   */
+  public static PipelineState forNumber(int value) {
+    switch (value) {
+      case 0:
+        return PIPELINE_STATE_UNSPECIFIED;
+      case 1:
+        return PIPELINE_STATE_QUEUED;
+      case 2:
+        return PIPELINE_STATE_PENDING;
+      case 3:
+        return PIPELINE_STATE_RUNNING;
+      case 4:
+        return PIPELINE_STATE_SUCCEEDED;
+      case 5:
+        return PIPELINE_STATE_FAILED;
+      case 6:
+        return PIPELINE_STATE_CANCELLING;
+      case 7:
+        return PIPELINE_STATE_CANCELLED;
+      case 8:
+        return PIPELINE_STATE_PAUSED;
+      default:
+        return null;
+    }
+  }
+
+  public static com.google.protobuf.Internal.EnumLiteMap<PipelineState> internalGetValueMap() {
+    return internalValueMap;
+  }
+
+  private static final com.google.protobuf.Internal.EnumLiteMap<PipelineState> internalValueMap =
+      new com.google.protobuf.Internal.EnumLiteMap<PipelineState>() {
+        public PipelineState findValueByNumber(int number) {
+          return PipelineState.forNumber(number);
+        }
+      };
+
+  public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+    if (this == UNRECOGNIZED) {
+      throw new java.lang.IllegalStateException(
+          "Can't get the descriptor of an unrecognized enum value.");
+    }
+    return getDescriptor().getValues().get(ordinal());
+  }
+
+  public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+    return getDescriptor();
+  }
+
+  public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.PipelineStateProto.getDescriptor().getEnumTypes().get(0);
+  }
+
+  private static final PipelineState[] VALUES = values();
+
+  public static PipelineState valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+    if (desc.getType() != getDescriptor()) {
+      throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+    }
+    if (desc.getIndex() == -1) {
+      return UNRECOGNIZED;
+    }
+    return VALUES[desc.getIndex()];
+  }
+
+  private final int value;
+
+  private PipelineState(int value) {
+    this.value = value;
+  }
+
+  // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.PipelineState)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineStateProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineStateProto.java
new file mode 100644
index 000000000..eaa5f2fee
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PipelineStateProto.java
@@ -0,0 +1,62 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/pipeline_state.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class PipelineStateProto {
+  private PipelineStateProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n/google/cloud/aiplatform/v1/pipeline_st"
+          + "ate.proto\022\032google.cloud.aiplatform.v1\032\034g"
+          + "oogle/api/annotations.proto*\223\002\n\rPipeline"
+          + "State\022\036\n\032PIPELINE_STATE_UNSPECIFIED\020\000\022\031\n"
+          + "\025PIPELINE_STATE_QUEUED\020\001\022\032\n\026PIPELINE_STA"
+          + "TE_PENDING\020\002\022\032\n\026PIPELINE_STATE_RUNNING\020\003"
+          + "\022\034\n\030PIPELINE_STATE_SUCCEEDED\020\004\022\031\n\025PIPELI"
+          + "NE_STATE_FAILED\020\005\022\035\n\031PIPELINE_STATE_CANC"
+          + "ELLING\020\006\022\034\n\030PIPELINE_STATE_CANCELLED\020\007\022\031"
+          + "\n\025PIPELINE_STATE_PAUSED\020\010B|\n\036com.google."
+          + "cloud.aiplatform.v1B\022PipelineStateProtoP"
+          + "\001ZDgoogle.golang.org/genproto/googleapis"
+          + "/cloud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Port.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Port.java
new file mode 100644
index 000000000..f809074c7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Port.java
@@ -0,0 +1,545 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents a network port in a container.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.Port}
+ */
+public final class Port extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Port)
+    PortOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Port.newBuilder() to construct.
+  private Port(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private Port() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new Port();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Port(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 24:
+            {
+              containerPort_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelProto
+        .internal_static_google_cloud_aiplatform_v1_Port_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelProto
+        .internal_static_google_cloud_aiplatform_v1_Port_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.Port.class,
+            com.google.cloud.aiplatform.v1.Port.Builder.class);
+  }
+
+  public static final int CONTAINER_PORT_FIELD_NUMBER = 3;
+  private int containerPort_;
+  /**
+   *
+   *
+   * <pre>
+   * The number of the port to expose on the pod's IP address.
+   * Must be a valid port number, between 1 and 65535 inclusive.
+   * </pre>
+   *
+   * <code>int32 container_port = 3;</code>
+   *
+   * @return The containerPort.
+   */
+  @java.lang.Override
+  public int getContainerPort() {
+    return containerPort_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (containerPort_ != 0) {
+      output.writeInt32(3, containerPort_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (containerPort_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(3, containerPort_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.Port)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.Port other = (com.google.cloud.aiplatform.v1.Port) obj;
+
+    if (getContainerPort() != other.getContainerPort()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONTAINER_PORT_FIELD_NUMBER;
+    hash = (53 * hash) + getContainerPort();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseDelimitedFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.Port prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a network port in a container.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.Port}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.Port)
+      com.google.cloud.aiplatform.v1.PortOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_Port_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_Port_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.Port.class,
+              com.google.cloud.aiplatform.v1.Port.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.Port.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      containerPort_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_Port_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Port getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.Port.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Port build() {
+      com.google.cloud.aiplatform.v1.Port result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Port buildPartial() {
+      com.google.cloud.aiplatform.v1.Port result = new com.google.cloud.aiplatform.v1.Port(this);
+      result.containerPort_ = containerPort_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.Port) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.Port) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.Port other) {
+      if (other == com.google.cloud.aiplatform.v1.Port.getDefaultInstance()) return this;
+      if (other.getContainerPort() != 0) {
+        setContainerPort(other.getContainerPort());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.Port parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.Port) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int containerPort_;
+    /**
+     *
+     *
+     * <pre>
+     * The number of the port to expose on the pod's IP address.
+     * Must be a valid port number, between 1 and 65535 inclusive.
+     * </pre>
+     *
+     * <code>int32 container_port = 3;</code>
+     *
+     * @return The containerPort.
+     */
+    @java.lang.Override
+    public int getContainerPort() {
+      return containerPort_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The number of the port to expose on the pod's IP address.
+     * Must be a valid port number, between 1 and 65535 inclusive.
+     * </pre>
+     *
+     * <code>int32 container_port = 3;</code>
+     *
+     * @param value The containerPort to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContainerPort(int value) {
+
+      containerPort_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The number of the port to expose on the pod's IP address.
+     * Must be a valid port number, between 1 and 65535 inclusive.
+     * </pre>
+     *
+     * <code>int32 container_port = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContainerPort() {
+
+      containerPort_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Port)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Port)
+  private static final com.google.cloud.aiplatform.v1.Port DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Port();
+  }
+
+  public static com.google.cloud.aiplatform.v1.Port getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<Port> PARSER =
+      new com.google.protobuf.AbstractParser<Port>() {
+        @java.lang.Override
+        public Port parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Port(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<Port> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<Port> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Port getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PortOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PortOrBuilder.java
new file mode 100644
index 000000000..759874a29
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PortOrBuilder.java
@@ -0,0 +1,39 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface PortOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Port)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The number of the port to expose on the pod's IP address.
+   * Must be a valid port number, between 1 and 65535 inclusive.
+   * </pre>
+   *
+   * <code>int32 container_port = 3;</code>
+   *
+   * @return The containerPort.
+   */
+  int getContainerPort();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredefinedSplit.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredefinedSplit.java
new file mode 100644
index 000000000..3a188a824
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredefinedSplit.java
@@ -0,0 +1,673 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Assigns input data to training, validation, and test sets based on the
+ * value of a provided key.
+ * Supported only for tabular Datasets.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.PredefinedSplit}
+ */
+public final class PredefinedSplit extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.PredefinedSplit)
+    PredefinedSplitOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use PredefinedSplit.newBuilder() to construct.
+  private PredefinedSplit(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private PredefinedSplit() {
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+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new PredefinedSplit();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
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+      makeExtensionsImmutable();
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+  }
+
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+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_PredefinedSplit_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
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+        .ensureFieldAccessorsInitialized(
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+  }
+
+  public static final int KEY_FIELD_NUMBER = 1;
+  private volatile java.lang.Object key_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The key is a name of one of the Dataset's data columns.
+   * The value of the key (either the label's value or value in the column)
+   * must be one of {`training`, `validation`, `test`}, and it defines to which
+   * set the given piece of data is assigned. If for a piece of data the key
+   * is not present or has an invalid value, that piece is ignored by the
+   * pipeline.
+   * </pre>
+   *
+   * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The key.
+   */
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+  public java.lang.String getKey() {
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+      key_ = s;
+      return s;
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+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The key is a name of one of the Dataset's data columns.
+   * The value of the key (either the label's value or value in the column)
+   * must be one of {`training`, `validation`, `test`}, and it defines to which
+   * set the given piece of data is assigned. If for a piece of data the key
+   * is not present or has an invalid value, that piece is ignored by the
+   * pipeline.
+   * </pre>
+   *
+   * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for key.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getKeyBytes() {
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+    if (ref instanceof java.lang.String) {
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+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, key_);
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+  @java.lang.Override
+  public int getSerializedSize() {
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+    if (size != -1) return size;
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+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
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+    if (!(obj instanceof com.google.cloud.aiplatform.v1.PredefinedSplit)) {
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+    if (!getKey().equals(other.getKey())) return false;
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+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
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+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+   *
+   * <pre>
+   * Assigns input data to training, validation, and test sets based on the
+   * value of a provided key.
+   * Supported only for tabular Datasets.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.PredefinedSplit}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.PredefinedSplit)
+      com.google.cloud.aiplatform.v1.PredefinedSplitOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredefinedSplit buildPartial() {
+      com.google.cloud.aiplatform.v1.PredefinedSplit result =
+          new com.google.cloud.aiplatform.v1.PredefinedSplit(this);
+      result.key_ = key_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.PredefinedSplit) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.PredefinedSplit) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.PredefinedSplit other) {
+      if (other == com.google.cloud.aiplatform.v1.PredefinedSplit.getDefaultInstance()) return this;
+      if (!other.getKey().isEmpty()) {
+        key_ = other.key_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.PredefinedSplit parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.PredefinedSplit) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object key_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The value of the key (either the label's value or value in the column)
+     * must be one of {`training`, `validation`, `test`}, and it defines to which
+     * set the given piece of data is assigned. If for a piece of data the key
+     * is not present or has an invalid value, that piece is ignored by the
+     * pipeline.
+     * </pre>
+     *
+     * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The key.
+     */
+    public java.lang.String getKey() {
+      java.lang.Object ref = key_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        key_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The value of the key (either the label's value or value in the column)
+     * must be one of {`training`, `validation`, `test`}, and it defines to which
+     * set the given piece of data is assigned. If for a piece of data the key
+     * is not present or has an invalid value, that piece is ignored by the
+     * pipeline.
+     * </pre>
+     *
+     * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for key.
+     */
+    public com.google.protobuf.ByteString getKeyBytes() {
+      java.lang.Object ref = key_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        key_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The value of the key (either the label's value or value in the column)
+     * must be one of {`training`, `validation`, `test`}, and it defines to which
+     * set the given piece of data is assigned. If for a piece of data the key
+     * is not present or has an invalid value, that piece is ignored by the
+     * pipeline.
+     * </pre>
+     *
+     * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The key to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKey(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      key_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The value of the key (either the label's value or value in the column)
+     * must be one of {`training`, `validation`, `test`}, and it defines to which
+     * set the given piece of data is assigned. If for a piece of data the key
+     * is not present or has an invalid value, that piece is ignored by the
+     * pipeline.
+     * </pre>
+     *
+     * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearKey() {
+
+      key_ = getDefaultInstance().getKey();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The value of the key (either the label's value or value in the column)
+     * must be one of {`training`, `validation`, `test`}, and it defines to which
+     * set the given piece of data is assigned. If for a piece of data the key
+     * is not present or has an invalid value, that piece is ignored by the
+     * pipeline.
+     * </pre>
+     *
+     * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for key to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKeyBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      key_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.PredefinedSplit)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.PredefinedSplit)
+  private static final com.google.cloud.aiplatform.v1.PredefinedSplit DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.PredefinedSplit();
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredefinedSplit getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<PredefinedSplit> PARSER =
+      new com.google.protobuf.AbstractParser<PredefinedSplit>() {
+        @java.lang.Override
+        public PredefinedSplit parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new PredefinedSplit(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<PredefinedSplit> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<PredefinedSplit> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PredefinedSplit getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredefinedSplitOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredefinedSplitOrBuilder.java
new file mode 100644
index 000000000..3672933f0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredefinedSplitOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface PredefinedSplitOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.PredefinedSplit)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The key is a name of one of the Dataset's data columns.
+   * The value of the key (either the label's value or value in the column)
+   * must be one of {`training`, `validation`, `test`}, and it defines to which
+   * set the given piece of data is assigned. If for a piece of data the key
+   * is not present or has an invalid value, that piece is ignored by the
+   * pipeline.
+   * </pre>
+   *
+   * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The key.
+   */
+  java.lang.String getKey();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The key is a name of one of the Dataset's data columns.
+   * The value of the key (either the label's value or value in the column)
+   * must be one of {`training`, `validation`, `test`}, and it defines to which
+   * set the given piece of data is assigned. If for a piece of data the key
+   * is not present or has an invalid value, that piece is ignored by the
+   * pipeline.
+   * </pre>
+   *
+   * <code>string key = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for key.
+   */
+  com.google.protobuf.ByteString getKeyBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequest.java
new file mode 100644
index 000000000..9f403cdfd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequest.java
@@ -0,0 +1,1676 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/prediction_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.PredictRequest}
+ */
+public final class PredictRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.PredictRequest)
+    PredictRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use PredictRequest.newBuilder() to construct.
+  private PredictRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private PredictRequest() {
+    endpoint_ = "";
+    instances_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new PredictRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private PredictRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              endpoint_ = s;
+              break;
+            }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                instances_ = new java.util.ArrayList<com.google.protobuf.Value>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              instances_.add(
+                  input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry));
+              break;
+            }
+          case 26:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (parameters_ != null) {
+                subBuilder = parameters_.toBuilder();
+              }
+              parameters_ =
+                  input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(parameters_);
+                parameters_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        instances_ = java.util.Collections.unmodifiableList(instances_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.PredictionServiceProto
+        .internal_static_google_cloud_aiplatform_v1_PredictRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.PredictionServiceProto
+        .internal_static_google_cloud_aiplatform_v1_PredictRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.PredictRequest.class,
+            com.google.cloud.aiplatform.v1.PredictRequest.Builder.class);
+  }
+
+  public static final int ENDPOINT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object endpoint_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint requested to serve the prediction.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  @java.lang.Override
+  public java.lang.String getEndpoint() {
+    java.lang.Object ref = endpoint_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      endpoint_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint requested to serve the prediction.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for endpoint.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEndpointBytes() {
+    java.lang.Object ref = endpoint_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      endpoint_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int INSTANCES_FIELD_NUMBER = 2;
+  private java.util.List<com.google.protobuf.Value> instances_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.protobuf.Value> getInstancesList() {
+    return instances_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.protobuf.ValueOrBuilder> getInstancesOrBuilderList() {
+    return instances_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public int getInstancesCount() {
+    return instances_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getInstances(int index) {
+    return instances_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
+    return instances_.get(index);
+  }
+
+  public static final int PARAMETERS_FIELD_NUMBER = 3;
+  private com.google.protobuf.Value parameters_;
+  /**
+   *
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+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
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+   * The parameters that govern the prediction. The schema of the parameters may
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+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
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+  /**
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+   * The parameters that govern the prediction. The schema of the parameters may
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+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
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+  public static com.google.cloud.aiplatform.v1.PredictRequest parseFrom(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+  public static com.google.cloud.aiplatform.v1.PredictRequest parseFrom(
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+
+  public static com.google.cloud.aiplatform.v1.PredictRequest parseDelimitedFrom(
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+
+  public static com.google.cloud.aiplatform.v1.PredictRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.PredictRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.PredictRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.PredictRequest)
+      com.google.cloud.aiplatform.v1.PredictRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.PredictionServiceProto
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+    }
+
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+
+    // Construct using com.google.cloud.aiplatform.v1.PredictRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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+        parametersBuilder_ = null;
+      }
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+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.PredictionServiceProto
+          .internal_static_google_cloud_aiplatform_v1_PredictRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredictRequest getDefaultInstanceForType() {
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+    }
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+      }
+      onBuilt();
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+    public Builder clone() {
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+    @java.lang.Override
+    public Builder addRepeatedField(
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.PredictRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.PredictRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.PredictRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.PredictRequest.getDefaultInstance()) return this;
+      if (!other.getEndpoint().isEmpty()) {
+        endpoint_ = other.endpoint_;
+        onChanged();
+      }
+      if (instancesBuilder_ == null) {
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+            bitField0_ = (bitField0_ & ~0x00000001);
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+      }
+      if (other.hasParameters()) {
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+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.PredictRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.PredictRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
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+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object endpoint_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint requested to serve the prediction.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
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+     */
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+        endpoint_ = s;
+        return s;
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+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint requested to serve the prediction.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for endpoint.
+     */
+    public com.google.protobuf.ByteString getEndpointBytes() {
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+        endpoint_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint requested to serve the prediction.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The endpoint to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEndpoint(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      endpoint_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint requested to serve the prediction.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEndpoint() {
+
+      endpoint_ = getDefaultInstance().getEndpoint();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint requested to serve the prediction.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for endpoint to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      endpoint_ = value;
+      onChanged();
+      return this;
+    }
+
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+
+    private void ensureInstancesIsMutable() {
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+            com.google.protobuf.ValueOrBuilder>
+        instancesBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
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+     */
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+        return java.util.Collections.unmodifiableList(instances_);
+      } else {
+        return instancesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public int getInstancesCount() {
+      if (instancesBuilder_ == null) {
+        return instances_.size();
+      } else {
+        return instancesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.Value getInstances(int index) {
+      if (instancesBuilder_ == null) {
+        return instances_.get(index);
+      } else {
+        return instancesBuilder_.getMessage(index);
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+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setInstances(int index, com.google.protobuf.Value value) {
+      if (instancesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureInstancesIsMutable();
+        instances_.set(index, value);
+        onChanged();
+      } else {
+        instancesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setInstances(int index, com.google.protobuf.Value.Builder builderForValue) {
+      if (instancesBuilder_ == null) {
+        ensureInstancesIsMutable();
+        instances_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        instancesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addInstances(com.google.protobuf.Value value) {
+      if (instancesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureInstancesIsMutable();
+        instances_.add(value);
+        onChanged();
+      } else {
+        instancesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addInstances(int index, com.google.protobuf.Value value) {
+      if (instancesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureInstancesIsMutable();
+        instances_.add(index, value);
+        onChanged();
+      } else {
+        instancesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addInstances(com.google.protobuf.Value.Builder builderForValue) {
+      if (instancesBuilder_ == null) {
+        ensureInstancesIsMutable();
+        instances_.add(builderForValue.build());
+        onChanged();
+      } else {
+        instancesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addInstances(int index, com.google.protobuf.Value.Builder builderForValue) {
+      if (instancesBuilder_ == null) {
+        ensureInstancesIsMutable();
+        instances_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        instancesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addAllInstances(java.lang.Iterable<? extends com.google.protobuf.Value> values) {
+      if (instancesBuilder_ == null) {
+        ensureInstancesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, instances_);
+        onChanged();
+      } else {
+        instancesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearInstances() {
+      if (instancesBuilder_ == null) {
+        instances_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        instancesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder removeInstances(int index) {
+      if (instancesBuilder_ == null) {
+        ensureInstancesIsMutable();
+        instances_.remove(index);
+        onChanged();
+      } else {
+        instancesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.Value.Builder getInstancesBuilder(int index) {
+      return getInstancesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index) {
+      if (instancesBuilder_ == null) {
+        return instances_.get(index);
+      } else {
+        return instancesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<? extends com.google.protobuf.ValueOrBuilder>
+        getInstancesOrBuilderList() {
+      if (instancesBuilder_ != null) {
+        return instancesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(instances_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.Value.Builder addInstancesBuilder() {
+      return getInstancesFieldBuilder().addBuilder(com.google.protobuf.Value.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.Value.Builder addInstancesBuilder(int index) {
+      return getInstancesFieldBuilder()
+          .addBuilder(index, com.google.protobuf.Value.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The instances that are the input to the prediction call.
+     * A DeployedModel may have an upper limit on the number of instances it
+     * supports per request, and when it is exceeded the prediction call errors
+     * in case of AutoML Models, or, in case of customer created Models, the
+     * behaviour is as documented by that Model.
+     * The schema of any single instance may be specified via Endpoint's
+     * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+     * </pre>
+     *
+     * <code>
+     * repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.protobuf.Value.Builder> getInstancesBuilderList() {
+      return getInstancesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getInstancesFieldBuilder() {
+      if (instancesBuilder_ == null) {
+        instancesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                instances_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        instances_ = null;
+      }
+      return instancesBuilder_;
+    }
+
+    private com.google.protobuf.Value parameters_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        parametersBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     *
+     * @return Whether the parameters field is set.
+     */
+    public boolean hasParameters() {
+      return parametersBuilder_ != null || parameters_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     *
+     * @return The parameters.
+     */
+    public com.google.protobuf.Value getParameters() {
+      if (parametersBuilder_ == null) {
+        return parameters_ == null ? com.google.protobuf.Value.getDefaultInstance() : parameters_;
+      } else {
+        return parametersBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     */
+    public Builder setParameters(com.google.protobuf.Value value) {
+      if (parametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        parameters_ = value;
+        onChanged();
+      } else {
+        parametersBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     */
+    public Builder setParameters(com.google.protobuf.Value.Builder builderForValue) {
+      if (parametersBuilder_ == null) {
+        parameters_ = builderForValue.build();
+        onChanged();
+      } else {
+        parametersBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     */
+    public Builder mergeParameters(com.google.protobuf.Value value) {
+      if (parametersBuilder_ == null) {
+        if (parameters_ != null) {
+          parameters_ =
+              com.google.protobuf.Value.newBuilder(parameters_).mergeFrom(value).buildPartial();
+        } else {
+          parameters_ = value;
+        }
+        onChanged();
+      } else {
+        parametersBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     */
+    public Builder clearParameters() {
+      if (parametersBuilder_ == null) {
+        parameters_ = null;
+        onChanged();
+      } else {
+        parameters_ = null;
+        parametersBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     */
+    public com.google.protobuf.Value.Builder getParametersBuilder() {
+
+      onChanged();
+      return getParametersFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
+      if (parametersBuilder_ != null) {
+        return parametersBuilder_.getMessageOrBuilder();
+      } else {
+        return parameters_ == null ? com.google.protobuf.Value.getDefaultInstance() : parameters_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The parameters that govern the prediction. The schema of the parameters may
+     * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+     * </pre>
+     *
+     * <code>.google.protobuf.Value parameters = 3;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getParametersFieldBuilder() {
+      if (parametersBuilder_ == null) {
+        parametersBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getParameters(), getParentForChildren(), isClean());
+        parameters_ = null;
+      }
+      return parametersBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.PredictRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.PredictRequest)
+  private static final com.google.cloud.aiplatform.v1.PredictRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.PredictRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<PredictRequest> PARSER =
+      new com.google.protobuf.AbstractParser<PredictRequest>() {
+        @java.lang.Override
+        public PredictRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new PredictRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<PredictRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<PredictRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PredictRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequestOrBuilder.java
new file mode 100644
index 000000000..f0eae5851
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictRequestOrBuilder.java
@@ -0,0 +1,198 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/prediction_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface PredictRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.PredictRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint requested to serve the prediction.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  java.lang.String getEndpoint();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint requested to serve the prediction.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for endpoint.
+   */
+  com.google.protobuf.ByteString getEndpointBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<com.google.protobuf.Value> getInstancesList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.protobuf.Value getInstances(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  int getInstancesCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<? extends com.google.protobuf.ValueOrBuilder> getInstancesOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The instances that are the input to the prediction call.
+   * A DeployedModel may have an upper limit on the number of instances it
+   * supports per request, and when it is exceeded the prediction call errors
+   * in case of AutoML Models, or, in case of customer created Models, the
+   * behaviour is as documented by that Model.
+   * The schema of any single instance may be specified via Endpoint's
+   * DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the prediction. The schema of the parameters may
+   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value parameters = 3;</code>
+   *
+   * @return Whether the parameters field is set.
+   */
+  boolean hasParameters();
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the prediction. The schema of the parameters may
+   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value parameters = 3;</code>
+   *
+   * @return The parameters.
+   */
+  com.google.protobuf.Value getParameters();
+  /**
+   *
+   *
+   * <pre>
+   * The parameters that govern the prediction. The schema of the parameters may
+   * be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+   * </pre>
+   *
+   * <code>.google.protobuf.Value parameters = 3;</code>
+   */
+  com.google.protobuf.ValueOrBuilder getParametersOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponse.java
new file mode 100644
index 000000000..33371e153
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponse.java
@@ -0,0 +1,1214 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/prediction_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.PredictResponse}
+ */
+public final class PredictResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.PredictResponse)
+    PredictResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use PredictResponse.newBuilder() to construct.
+  private PredictResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private PredictResponse() {
+    predictions_ = java.util.Collections.emptyList();
+    deployedModelId_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new PredictResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private PredictResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                predictions_ = new java.util.ArrayList<com.google.protobuf.Value>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              predictions_.add(
+                  input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              deployedModelId_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        predictions_ = java.util.Collections.unmodifiableList(predictions_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.PredictionServiceProto
+        .internal_static_google_cloud_aiplatform_v1_PredictResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.PredictionServiceProto
+        .internal_static_google_cloud_aiplatform_v1_PredictResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.PredictResponse.class,
+            com.google.cloud.aiplatform.v1.PredictResponse.Builder.class);
+  }
+
+  public static final int PREDICTIONS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.protobuf.Value> predictions_;
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.protobuf.Value> getPredictionsList() {
+    return predictions_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.protobuf.ValueOrBuilder>
+      getPredictionsOrBuilderList() {
+    return predictions_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  @java.lang.Override
+  public int getPredictionsCount() {
+    return predictions_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getPredictions(int index) {
+    return predictions_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index) {
+    return predictions_.get(index);
+  }
+
+  public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER = 2;
+  private volatile java.lang.Object deployedModelId_;
+  /**
+   *
+   *
+   * <pre>
+   * ID of the Endpoint's DeployedModel that served this prediction.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2;</code>
+   *
+   * @return The deployedModelId.
+   */
+  @java.lang.Override
+  public java.lang.String getDeployedModelId() {
+    java.lang.Object ref = deployedModelId_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      deployedModelId_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * ID of the Endpoint's DeployedModel that served this prediction.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2;</code>
+   *
+   * @return The bytes for deployedModelId.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDeployedModelIdBytes() {
+    java.lang.Object ref = deployedModelId_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      deployedModelId_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < predictions_.size(); i++) {
+      output.writeMessage(1, predictions_.get(i));
+    }
+    if (!getDeployedModelIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, deployedModelId_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < predictions_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, predictions_.get(i));
+    }
+    if (!getDeployedModelIdBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, deployedModelId_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.PredictResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.PredictResponse other =
+        (com.google.cloud.aiplatform.v1.PredictResponse) obj;
+
+    if (!getPredictionsList().equals(other.getPredictionsList())) return false;
+    if (!getDeployedModelId().equals(other.getDeployedModelId())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getPredictionsCount() > 0) {
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+    hash = (53 * hash) + getDeployedModelId().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
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+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.PredictResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.PredictResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.PredictResponse)
+      com.google.cloud.aiplatform.v1.PredictResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.PredictionServiceProto
+          .internal_static_google_cloud_aiplatform_v1_PredictResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.PredictionServiceProto
+          .internal_static_google_cloud_aiplatform_v1_PredictResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.PredictResponse.class,
+              com.google.cloud.aiplatform.v1.PredictResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.PredictResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getPredictionsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (predictionsBuilder_ == null) {
+        predictions_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        predictionsBuilder_.clear();
+      }
+      deployedModelId_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.PredictionServiceProto
+          .internal_static_google_cloud_aiplatform_v1_PredictResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredictResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.PredictResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredictResponse build() {
+      com.google.cloud.aiplatform.v1.PredictResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredictResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.PredictResponse result =
+          new com.google.cloud.aiplatform.v1.PredictResponse(this);
+      int from_bitField0_ = bitField0_;
+      if (predictionsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          predictions_ = java.util.Collections.unmodifiableList(predictions_);
+          bitField0_ = (bitField0_ & ~0x00000001);
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+        result.predictions_ = predictions_;
+      } else {
+        result.predictions_ = predictionsBuilder_.build();
+      }
+      result.deployedModelId_ = deployedModelId_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
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+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.PredictResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.PredictResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.PredictResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.PredictResponse.getDefaultInstance()) return this;
+      if (predictionsBuilder_ == null) {
+        if (!other.predictions_.isEmpty()) {
+          if (predictions_.isEmpty()) {
+            predictions_ = other.predictions_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensurePredictionsIsMutable();
+            predictions_.addAll(other.predictions_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.predictions_.isEmpty()) {
+          if (predictionsBuilder_.isEmpty()) {
+            predictionsBuilder_.dispose();
+            predictionsBuilder_ = null;
+            predictions_ = other.predictions_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            predictionsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getPredictionsFieldBuilder()
+                    : null;
+          } else {
+            predictionsBuilder_.addAllMessages(other.predictions_);
+          }
+        }
+      }
+      if (!other.getDeployedModelId().isEmpty()) {
+        deployedModelId_ = other.deployedModelId_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.PredictResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.PredictResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.protobuf.Value> predictions_ =
+        java.util.Collections.emptyList();
+
+    private void ensurePredictionsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        predictions_ = new java.util.ArrayList<com.google.protobuf.Value>(predictions_);
+        bitField0_ |= 0x00000001;
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+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        predictionsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public java.util.List<com.google.protobuf.Value> getPredictionsList() {
+      if (predictionsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(predictions_);
+      } else {
+        return predictionsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public int getPredictionsCount() {
+      if (predictionsBuilder_ == null) {
+        return predictions_.size();
+      } else {
+        return predictionsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public com.google.protobuf.Value getPredictions(int index) {
+      if (predictionsBuilder_ == null) {
+        return predictions_.get(index);
+      } else {
+        return predictionsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder setPredictions(int index, com.google.protobuf.Value value) {
+      if (predictionsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePredictionsIsMutable();
+        predictions_.set(index, value);
+        onChanged();
+      } else {
+        predictionsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder setPredictions(int index, com.google.protobuf.Value.Builder builderForValue) {
+      if (predictionsBuilder_ == null) {
+        ensurePredictionsIsMutable();
+        predictions_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        predictionsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder addPredictions(com.google.protobuf.Value value) {
+      if (predictionsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePredictionsIsMutable();
+        predictions_.add(value);
+        onChanged();
+      } else {
+        predictionsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder addPredictions(int index, com.google.protobuf.Value value) {
+      if (predictionsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePredictionsIsMutable();
+        predictions_.add(index, value);
+        onChanged();
+      } else {
+        predictionsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder addPredictions(com.google.protobuf.Value.Builder builderForValue) {
+      if (predictionsBuilder_ == null) {
+        ensurePredictionsIsMutable();
+        predictions_.add(builderForValue.build());
+        onChanged();
+      } else {
+        predictionsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder addPredictions(int index, com.google.protobuf.Value.Builder builderForValue) {
+      if (predictionsBuilder_ == null) {
+        ensurePredictionsIsMutable();
+        predictions_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        predictionsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder addAllPredictions(
+        java.lang.Iterable<? extends com.google.protobuf.Value> values) {
+      if (predictionsBuilder_ == null) {
+        ensurePredictionsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, predictions_);
+        onChanged();
+      } else {
+        predictionsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder clearPredictions() {
+      if (predictionsBuilder_ == null) {
+        predictions_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        predictionsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public Builder removePredictions(int index) {
+      if (predictionsBuilder_ == null) {
+        ensurePredictionsIsMutable();
+        predictions_.remove(index);
+        onChanged();
+      } else {
+        predictionsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public com.google.protobuf.Value.Builder getPredictionsBuilder(int index) {
+      return getPredictionsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index) {
+      if (predictionsBuilder_ == null) {
+        return predictions_.get(index);
+      } else {
+        return predictionsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public java.util.List<? extends com.google.protobuf.ValueOrBuilder>
+        getPredictionsOrBuilderList() {
+      if (predictionsBuilder_ != null) {
+        return predictionsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(predictions_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public com.google.protobuf.Value.Builder addPredictionsBuilder() {
+      return getPredictionsFieldBuilder()
+          .addBuilder(com.google.protobuf.Value.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public com.google.protobuf.Value.Builder addPredictionsBuilder(int index) {
+      return getPredictionsFieldBuilder()
+          .addBuilder(index, com.google.protobuf.Value.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The predictions that are the output of the predictions call.
+     * The schema of any single prediction may be specified via Endpoint's
+     * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+     * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+     * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.Value predictions = 1;</code>
+     */
+    public java.util.List<com.google.protobuf.Value.Builder> getPredictionsBuilderList() {
+      return getPredictionsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getPredictionsFieldBuilder() {
+      if (predictionsBuilder_ == null) {
+        predictionsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                predictions_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        predictions_ = null;
+      }
+      return predictionsBuilder_;
+    }
+
+    private java.lang.Object deployedModelId_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * ID of the Endpoint's DeployedModel that served this prediction.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2;</code>
+     *
+     * @return The deployedModelId.
+     */
+    public java.lang.String getDeployedModelId() {
+      java.lang.Object ref = deployedModelId_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        deployedModelId_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * ID of the Endpoint's DeployedModel that served this prediction.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2;</code>
+     *
+     * @return The bytes for deployedModelId.
+     */
+    public com.google.protobuf.ByteString getDeployedModelIdBytes() {
+      java.lang.Object ref = deployedModelId_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        deployedModelId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * ID of the Endpoint's DeployedModel that served this prediction.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2;</code>
+     *
+     * @param value The deployedModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDeployedModelId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      deployedModelId_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * ID of the Endpoint's DeployedModel that served this prediction.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDeployedModelId() {
+
+      deployedModelId_ = getDefaultInstance().getDeployedModelId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * ID of the Endpoint's DeployedModel that served this prediction.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2;</code>
+     *
+     * @param value The bytes for deployedModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDeployedModelIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      deployedModelId_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.PredictResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.PredictResponse)
+  private static final com.google.cloud.aiplatform.v1.PredictResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.PredictResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<PredictResponse> PARSER =
+      new com.google.protobuf.AbstractParser<PredictResponse>() {
+        @java.lang.Override
+        public PredictResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new PredictResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<PredictResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<PredictResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PredictResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponseOrBuilder.java
new file mode 100644
index 000000000..3722df8c8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictResponseOrBuilder.java
@@ -0,0 +1,121 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/prediction_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface PredictResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.PredictResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  java.util.List<com.google.protobuf.Value> getPredictionsList();
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  com.google.protobuf.Value getPredictions(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  int getPredictionsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  java.util.List<? extends com.google.protobuf.ValueOrBuilder> getPredictionsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * The predictions that are the output of the predictions call.
+   * The schema of any single prediction may be specified via Endpoint's
+   * DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+   * [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+   * [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.Value predictions = 1;</code>
+   */
+  com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * ID of the Endpoint's DeployedModel that served this prediction.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2;</code>
+   *
+   * @return The deployedModelId.
+   */
+  java.lang.String getDeployedModelId();
+  /**
+   *
+   *
+   * <pre>
+   * ID of the Endpoint's DeployedModel that served this prediction.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2;</code>
+   *
+   * @return The bytes for deployedModelId.
+   */
+  com.google.protobuf.ByteString getDeployedModelIdBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemata.java
new file mode 100644
index 000000000..7b7b50cd5
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemata.java
@@ -0,0 +1,1192 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Contains the schemata used in Model's predictions and explanations via
+ * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][] and
+ * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.PredictSchemata}
+ */
+public final class PredictSchemata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.PredictSchemata)
+    PredictSchemataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use PredictSchemata.newBuilder() to construct.
+  private PredictSchemata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private PredictSchemata() {
+    instanceSchemaUri_ = "";
+    parametersSchemaUri_ = "";
+    predictionSchemaUri_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new PredictSchemata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private PredictSchemata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              instanceSchemaUri_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parametersSchemaUri_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              predictionSchemaUri_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelProto
+        .internal_static_google_cloud_aiplatform_v1_PredictSchemata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelProto
+        .internal_static_google_cloud_aiplatform_v1_PredictSchemata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.PredictSchemata.class,
+            com.google.cloud.aiplatform.v1.PredictSchemata.Builder.class);
+  }
+
+  public static final int INSTANCE_SCHEMA_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object instanceSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * [ExplainRequest.instances][] and
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The instanceSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getInstanceSchemaUri() {
+    java.lang.Object ref = instanceSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      instanceSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * [ExplainRequest.instances][] and
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for instanceSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getInstanceSchemaUriBytes() {
+    java.lang.Object ref = instanceSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      instanceSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PARAMETERS_SCHEMA_URI_FIELD_NUMBER = 2;
+  private volatile java.lang.Object parametersSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+   * parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+   * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform, if no
+   * parameters are supported, then it is set to an empty string.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The parametersSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getParametersSchemaUri() {
+    java.lang.Object ref = parametersSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parametersSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+   * parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+   * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform, if no
+   * parameters are supported, then it is set to an empty string.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for parametersSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParametersSchemaUriBytes() {
+    java.lang.Object ref = parametersSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parametersSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PREDICTION_SCHEMA_URI_FIELD_NUMBER = 3;
+  private volatile java.lang.Object predictionSchemaUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+   * of a single prediction produced by this Model, which are returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The predictionSchemaUri.
+   */
+  @java.lang.Override
+  public java.lang.String getPredictionSchemaUri() {
+    java.lang.Object ref = predictionSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      predictionSchemaUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+   * of a single prediction produced by this Model, which are returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for predictionSchemaUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getPredictionSchemaUriBytes() {
+    java.lang.Object ref = predictionSchemaUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      predictionSchemaUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getInstanceSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, instanceSchemaUri_);
+    }
+    if (!getParametersSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, parametersSchemaUri_);
+    }
+    if (!getPredictionSchemaUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, predictionSchemaUri_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getInstanceSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, instanceSchemaUri_);
+    }
+    if (!getParametersSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, parametersSchemaUri_);
+    }
+    if (!getPredictionSchemaUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, predictionSchemaUri_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.PredictSchemata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.PredictSchemata other =
+        (com.google.cloud.aiplatform.v1.PredictSchemata) obj;
+
+    if (!getInstanceSchemaUri().equals(other.getInstanceSchemaUri())) return false;
+    if (!getParametersSchemaUri().equals(other.getParametersSchemaUri())) return false;
+    if (!getPredictionSchemaUri().equals(other.getPredictionSchemaUri())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + INSTANCE_SCHEMA_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getInstanceSchemaUri().hashCode();
+    hash = (37 * hash) + PARAMETERS_SCHEMA_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getParametersSchemaUri().hashCode();
+    hash = (37 * hash) + PREDICTION_SCHEMA_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getPredictionSchemaUri().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.PredictSchemata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Contains the schemata used in Model's predictions and explanations via
+   * [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][] and
+   * [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.PredictSchemata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.PredictSchemata)
+      com.google.cloud.aiplatform.v1.PredictSchemataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_PredictSchemata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_PredictSchemata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.PredictSchemata.class,
+              com.google.cloud.aiplatform.v1.PredictSchemata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.PredictSchemata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      instanceSchemaUri_ = "";
+
+      parametersSchemaUri_ = "";
+
+      predictionSchemaUri_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelProto
+          .internal_static_google_cloud_aiplatform_v1_PredictSchemata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredictSchemata getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.PredictSchemata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredictSchemata build() {
+      com.google.cloud.aiplatform.v1.PredictSchemata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PredictSchemata buildPartial() {
+      com.google.cloud.aiplatform.v1.PredictSchemata result =
+          new com.google.cloud.aiplatform.v1.PredictSchemata(this);
+      result.instanceSchemaUri_ = instanceSchemaUri_;
+      result.parametersSchemaUri_ = parametersSchemaUri_;
+      result.predictionSchemaUri_ = predictionSchemaUri_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.PredictSchemata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.PredictSchemata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.PredictSchemata other) {
+      if (other == com.google.cloud.aiplatform.v1.PredictSchemata.getDefaultInstance()) return this;
+      if (!other.getInstanceSchemaUri().isEmpty()) {
+        instanceSchemaUri_ = other.instanceSchemaUri_;
+        onChanged();
+      }
+      if (!other.getParametersSchemaUri().isEmpty()) {
+        parametersSchemaUri_ = other.parametersSchemaUri_;
+        onChanged();
+      }
+      if (!other.getPredictionSchemaUri().isEmpty()) {
+        predictionSchemaUri_ = other.predictionSchemaUri_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.PredictSchemata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.PredictSchemata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object instanceSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][] and
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The instanceSchemaUri.
+     */
+    public java.lang.String getInstanceSchemaUri() {
+      java.lang.Object ref = instanceSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        instanceSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][] and
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for instanceSchemaUri.
+     */
+    public com.google.protobuf.ByteString getInstanceSchemaUriBytes() {
+      java.lang.Object ref = instanceSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        instanceSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][] and
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The instanceSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInstanceSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      instanceSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][] and
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearInstanceSchemaUri() {
+
+      instanceSchemaUri_ = getDefaultInstance().getInstanceSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+     * [ExplainRequest.instances][] and
+     * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for instanceSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInstanceSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      instanceSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object parametersSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+     * parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+     * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * parameters are supported, then it is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The parametersSchemaUri.
+     */
+    public java.lang.String getParametersSchemaUri() {
+      java.lang.Object ref = parametersSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parametersSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+     * parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+     * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * parameters are supported, then it is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for parametersSchemaUri.
+     */
+    public com.google.protobuf.ByteString getParametersSchemaUriBytes() {
+      java.lang.Object ref = parametersSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parametersSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+     * parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+     * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * parameters are supported, then it is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The parametersSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParametersSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parametersSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+     * parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+     * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * parameters are supported, then it is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParametersSchemaUri() {
+
+      parametersSchemaUri_ = getDefaultInstance().getParametersSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+     * parameters of prediction and explanation via
+     * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+     * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform, if no
+     * parameters are supported, then it is set to an empty string.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for parametersSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParametersSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parametersSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object predictionSchemaUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single prediction produced by this Model, which are returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The predictionSchemaUri.
+     */
+    public java.lang.String getPredictionSchemaUri() {
+      java.lang.Object ref = predictionSchemaUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        predictionSchemaUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single prediction produced by this Model, which are returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return The bytes for predictionSchemaUri.
+     */
+    public com.google.protobuf.ByteString getPredictionSchemaUriBytes() {
+      java.lang.Object ref = predictionSchemaUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        predictionSchemaUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single prediction produced by this Model, which are returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The predictionSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPredictionSchemaUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      predictionSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single prediction produced by this Model, which are returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPredictionSchemaUri() {
+
+      predictionSchemaUri_ = getDefaultInstance().getPredictionSchemaUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+     * of a single prediction produced by this Model, which are returned via
+     * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+     * The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * AutoML Models always have this field populated by AI Platform.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+     *
+     * @param value The bytes for predictionSchemaUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPredictionSchemaUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      predictionSchemaUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.PredictSchemata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.PredictSchemata)
+  private static final com.google.cloud.aiplatform.v1.PredictSchemata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.PredictSchemata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.PredictSchemata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<PredictSchemata> PARSER =
+      new com.google.protobuf.AbstractParser<PredictSchemata>() {
+        @java.lang.Override
+        public PredictSchemata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new PredictSchemata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<PredictSchemata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<PredictSchemata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PredictSchemata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemataOrBuilder.java
new file mode 100644
index 000000000..a31d4043d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictSchemataOrBuilder.java
@@ -0,0 +1,156 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface PredictSchemataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.PredictSchemata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * [ExplainRequest.instances][] and
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The instanceSchemaUri.
+   */
+  java.lang.String getInstanceSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+   * of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+   * [ExplainRequest.instances][] and
+   * [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for instanceSchemaUri.
+   */
+  com.google.protobuf.ByteString getInstanceSchemaUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+   * parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+   * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform, if no
+   * parameters are supported, then it is set to an empty string.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The parametersSchemaUri.
+   */
+  java.lang.String getParametersSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+   * parameters of prediction and explanation via
+   * [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+   * [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform, if no
+   * parameters are supported, then it is set to an empty string.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for parametersSchemaUri.
+   */
+  com.google.protobuf.ByteString getParametersSchemaUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+   * of a single prediction produced by this Model, which are returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The predictionSchemaUri.
+   */
+  java.lang.String getPredictionSchemaUri();
+  /**
+   *
+   *
+   * <pre>
+   * Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+   * of a single prediction produced by this Model, which are returned via
+   * [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+   * The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * AutoML Models always have this field populated by AI Platform.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];</code>
+   *
+   * @return The bytes for predictionSchemaUri.
+   */
+  com.google.protobuf.ByteString getPredictionSchemaUriBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceProto.java
new file mode 100644
index 000000000..3cfde4261
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceProto.java
@@ -0,0 +1,116 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/prediction_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class PredictionServiceProto {
+  private PredictionServiceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_PredictRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_PredictRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_PredictResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_PredictResponse_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n3google/cloud/aiplatform/v1/prediction_"
+          + "service.proto\022\032google.cloud.aiplatform.v"
+          + "1\032\034google/api/annotations.proto\032\027google/"
+          + "api/client.proto\032\037google/api/field_behav"
+          + "ior.proto\032\031google/api/resource.proto\032\034go"
+          + "ogle/protobuf/struct.proto\"\252\001\n\016PredictRe"
+          + "quest\022<\n\010endpoint\030\001 \001(\tB*\340A\002\372A$\n\"aiplatf"
+          + "orm.googleapis.com/Endpoint\022.\n\tinstances"
+          + "\030\002 \003(\0132\026.google.protobuf.ValueB\003\340A\002\022*\n\np"
+          + "arameters\030\003 \001(\0132\026.google.protobuf.Value\""
+          + "Y\n\017PredictResponse\022+\n\013predictions\030\001 \003(\0132"
+          + "\026.google.protobuf.Value\022\031\n\021deployed_mode"
+          + "l_id\030\002 \001(\t2\255\002\n\021PredictionService\022\310\001\n\007Pre"
+          + "dict\022*.google.cloud.aiplatform.v1.Predic"
+          + "tRequest\032+.google.cloud.aiplatform.v1.Pr"
+          + "edictResponse\"d\202\323\344\223\002>\"9/v1/{endpoint=pro"
+          + "jects/*/locations/*/endpoints/*}:predict"
+          + ":\001*\332A\035endpoint,instances,parameters\032M\312A\031"
+          + "aiplatform.googleapis.com\322A.https://www."
+          + "googleapis.com/auth/cloud-platformB\200\001\n\036c"
+          + "om.google.cloud.aiplatform.v1B\026Predictio"
+          + "nServiceProtoP\001ZDgoogle.golang.org/genpr"
+          + "oto/googleapis/cloud/aiplatform/v1;aipla"
+          + "tformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+              com.google.api.ClientProto.getDescriptor(),
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_PredictRequest_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_PredictRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_PredictRequest_descriptor,
+            new java.lang.String[] {
+              "Endpoint", "Instances", "Parameters",
+            });
+    internal_static_google_cloud_aiplatform_v1_PredictResponse_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_PredictResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_PredictResponse_descriptor,
+            new java.lang.String[] {
+              "Predictions", "DeployedModelId",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.ClientProto.defaultHost);
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.AnnotationsProto.http);
+    registry.add(com.google.api.ClientProto.methodSignature);
+    registry.add(com.google.api.ClientProto.oauthScopes);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.api.ClientProto.getDescriptor();
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpec.java
new file mode 100644
index 000000000..e96819bd0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpec.java
@@ -0,0 +1,1904 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * The spec of a Python packaged code.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.PythonPackageSpec}
+ */
+public final class PythonPackageSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.PythonPackageSpec)
+    PythonPackageSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use PythonPackageSpec.newBuilder() to construct.
+  private PythonPackageSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private PythonPackageSpec() {
+    executorImageUri_ = "";
+    packageUris_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    pythonModule_ = "";
+    args_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    env_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new PythonPackageSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private PythonPackageSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              executorImageUri_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                packageUris_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              packageUris_.add(s);
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              pythonModule_ = s;
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                args_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              args_.add(s);
+              break;
+            }
+          case 42:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                env_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.EnvVar>();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              env_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EnvVar.parser(), extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        packageUris_ = packageUris_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        args_ = args_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        env_ = java.util.Collections.unmodifiableList(env_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.PythonPackageSpec.class,
+            com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder.class);
+  }
+
+  public static final int EXECUTOR_IMAGE_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object executorImageUri_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The URI of a container image in the Container Registry that will run the
+   * provided python package. AI Platform provides wide range of executor images
+   * with pre-installed packages to meet users' various use cases. Only one of
+   * the provided images can be set here.
+   * </pre>
+   *
+   * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The executorImageUri.
+   */
+  @java.lang.Override
+  public java.lang.String getExecutorImageUri() {
+    java.lang.Object ref = executorImageUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      executorImageUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The URI of a container image in the Container Registry that will run the
+   * provided python package. AI Platform provides wide range of executor images
+   * with pre-installed packages to meet users' various use cases. Only one of
+   * the provided images can be set here.
+   * </pre>
+   *
+   * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for executorImageUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getExecutorImageUriBytes() {
+    java.lang.Object ref = executorImageUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      executorImageUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int PACKAGE_URIS_FIELD_NUMBER = 2;
+  private com.google.protobuf.LazyStringList packageUris_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the Python package files which are
+   * the training program and its dependent packages.
+   * The maximum number of package URIs is 100.
+   * </pre>
+   *
+   * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return A list containing the packageUris.
+   */
+  public com.google.protobuf.ProtocolStringList getPackageUrisList() {
+    return packageUris_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the Python package files which are
+   * the training program and its dependent packages.
+   * The maximum number of package URIs is 100.
+   * </pre>
+   *
+   * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The count of packageUris.
+   */
+  public int getPackageUrisCount() {
+    return packageUris_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the Python package files which are
+   * the training program and its dependent packages.
+   * The maximum number of package URIs is 100.
+   * </pre>
+   *
+   * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The packageUris at the given index.
+   */
+  public java.lang.String getPackageUris(int index) {
+    return packageUris_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the Python package files which are
+   * the training program and its dependent packages.
+   * The maximum number of package URIs is 100.
+   * </pre>
+   *
+   * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the packageUris at the given index.
+   */
+  public com.google.protobuf.ByteString getPackageUrisBytes(int index) {
+    return packageUris_.getByteString(index);
+  }
+
+  public static final int PYTHON_MODULE_FIELD_NUMBER = 3;
+  private volatile java.lang.Object pythonModule_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Python module name to run after installing the packages.
+   * </pre>
+   *
+   * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The pythonModule.
+   */
+  @java.lang.Override
+  public java.lang.String getPythonModule() {
+    java.lang.Object ref = pythonModule_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      pythonModule_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Python module name to run after installing the packages.
+   * </pre>
+   *
+   * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for pythonModule.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getPythonModuleBytes() {
+    java.lang.Object ref = pythonModule_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      pythonModule_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int ARGS_FIELD_NUMBER = 4;
+  private com.google.protobuf.LazyStringList args_;
+  /**
+   *
+   *
+   * <pre>
+   * Command line arguments to be passed to the Python task.
+   * </pre>
+   *
+   * <code>repeated string args = 4;</code>
+   *
+   * @return A list containing the args.
+   */
+  public com.google.protobuf.ProtocolStringList getArgsList() {
+    return args_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Command line arguments to be passed to the Python task.
+   * </pre>
+   *
+   * <code>repeated string args = 4;</code>
+   *
+   * @return The count of args.
+   */
+  public int getArgsCount() {
+    return args_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Command line arguments to be passed to the Python task.
+   * </pre>
+   *
+   * <code>repeated string args = 4;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The args at the given index.
+   */
+  public java.lang.String getArgs(int index) {
+    return args_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Command line arguments to be passed to the Python task.
+   * </pre>
+   *
+   * <code>repeated string args = 4;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the args at the given index.
+   */
+  public com.google.protobuf.ByteString getArgsBytes(int index) {
+    return args_.getByteString(index);
+  }
+
+  public static final int ENV_FIELD_NUMBER = 5;
+  private java.util.List<com.google.cloud.aiplatform.v1.EnvVar> env_;
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList() {
+    return env_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+      getEnvOrBuilderList() {
+    return env_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  @java.lang.Override
+  public int getEnvCount() {
+    return env_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EnvVar getEnv(int index) {
+    return env_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index) {
+    return env_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getExecutorImageUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, executorImageUri_);
+    }
+    for (int i = 0; i < packageUris_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, packageUris_.getRaw(i));
+    }
+    if (!getPythonModuleBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, pythonModule_);
+    }
+    for (int i = 0; i < args_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, args_.getRaw(i));
+    }
+    for (int i = 0; i < env_.size(); i++) {
+      output.writeMessage(5, env_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getExecutorImageUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, executorImageUri_);
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < packageUris_.size(); i++) {
+        dataSize += computeStringSizeNoTag(packageUris_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getPackageUrisList().size();
+    }
+    if (!getPythonModuleBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, pythonModule_);
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < args_.size(); i++) {
+        dataSize += computeStringSizeNoTag(args_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getArgsList().size();
+    }
+    for (int i = 0; i < env_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, env_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.PythonPackageSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.PythonPackageSpec other =
+        (com.google.cloud.aiplatform.v1.PythonPackageSpec) obj;
+
+    if (!getExecutorImageUri().equals(other.getExecutorImageUri())) return false;
+    if (!getPackageUrisList().equals(other.getPackageUrisList())) return false;
+    if (!getPythonModule().equals(other.getPythonModule())) return false;
+    if (!getArgsList().equals(other.getArgsList())) return false;
+    if (!getEnvList().equals(other.getEnvList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + EXECUTOR_IMAGE_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getExecutorImageUri().hashCode();
+    if (getPackageUrisCount() > 0) {
+      hash = (37 * hash) + PACKAGE_URIS_FIELD_NUMBER;
+      hash = (53 * hash) + getPackageUrisList().hashCode();
+    }
+    hash = (37 * hash) + PYTHON_MODULE_FIELD_NUMBER;
+    hash = (53 * hash) + getPythonModule().hashCode();
+    if (getArgsCount() > 0) {
+      hash = (37 * hash) + ARGS_FIELD_NUMBER;
+      hash = (53 * hash) + getArgsList().hashCode();
+    }
+    if (getEnvCount() > 0) {
+      hash = (37 * hash) + ENV_FIELD_NUMBER;
+      hash = (53 * hash) + getEnvList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.PythonPackageSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The spec of a Python packaged code.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.PythonPackageSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.PythonPackageSpec)
+      com.google.cloud.aiplatform.v1.PythonPackageSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.PythonPackageSpec.class,
+              com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.PythonPackageSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getEnvFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      executorImageUri_ = "";
+
+      packageUris_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      pythonModule_ = "";
+
+      args_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      if (envBuilder_ == null) {
+        env_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000004);
+      } else {
+        envBuilder_.clear();
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_PythonPackageSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PythonPackageSpec getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PythonPackageSpec build() {
+      com.google.cloud.aiplatform.v1.PythonPackageSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PythonPackageSpec buildPartial() {
+      com.google.cloud.aiplatform.v1.PythonPackageSpec result =
+          new com.google.cloud.aiplatform.v1.PythonPackageSpec(this);
+      int from_bitField0_ = bitField0_;
+      result.executorImageUri_ = executorImageUri_;
+      if (((bitField0_ & 0x00000001) != 0)) {
+        packageUris_ = packageUris_.getUnmodifiableView();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      }
+      result.packageUris_ = packageUris_;
+      result.pythonModule_ = pythonModule_;
+      if (((bitField0_ & 0x00000002) != 0)) {
+        args_ = args_.getUnmodifiableView();
+        bitField0_ = (bitField0_ & ~0x00000002);
+      }
+      result.args_ = args_;
+      if (envBuilder_ == null) {
+        if (((bitField0_ & 0x00000004) != 0)) {
+          env_ = java.util.Collections.unmodifiableList(env_);
+          bitField0_ = (bitField0_ & ~0x00000004);
+        }
+        result.env_ = env_;
+      } else {
+        result.env_ = envBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.PythonPackageSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.PythonPackageSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.PythonPackageSpec other) {
+      if (other == com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance())
+        return this;
+      if (!other.getExecutorImageUri().isEmpty()) {
+        executorImageUri_ = other.executorImageUri_;
+        onChanged();
+      }
+      if (!other.packageUris_.isEmpty()) {
+        if (packageUris_.isEmpty()) {
+          packageUris_ = other.packageUris_;
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          ensurePackageUrisIsMutable();
+          packageUris_.addAll(other.packageUris_);
+        }
+        onChanged();
+      }
+      if (!other.getPythonModule().isEmpty()) {
+        pythonModule_ = other.pythonModule_;
+        onChanged();
+      }
+      if (!other.args_.isEmpty()) {
+        if (args_.isEmpty()) {
+          args_ = other.args_;
+          bitField0_ = (bitField0_ & ~0x00000002);
+        } else {
+          ensureArgsIsMutable();
+          args_.addAll(other.args_);
+        }
+        onChanged();
+      }
+      if (envBuilder_ == null) {
+        if (!other.env_.isEmpty()) {
+          if (env_.isEmpty()) {
+            env_ = other.env_;
+            bitField0_ = (bitField0_ & ~0x00000004);
+          } else {
+            ensureEnvIsMutable();
+            env_.addAll(other.env_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.env_.isEmpty()) {
+          if (envBuilder_.isEmpty()) {
+            envBuilder_.dispose();
+            envBuilder_ = null;
+            env_ = other.env_;
+            bitField0_ = (bitField0_ & ~0x00000004);
+            envBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getEnvFieldBuilder()
+                    : null;
+          } else {
+            envBuilder_.addAllMessages(other.env_);
+          }
+        }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.PythonPackageSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.PythonPackageSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object executorImageUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that will run the
+     * provided python package. AI Platform provides wide range of executor images
+     * with pre-installed packages to meet users' various use cases. Only one of
+     * the provided images can be set here.
+     * </pre>
+     *
+     * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The executorImageUri.
+     */
+    public java.lang.String getExecutorImageUri() {
+      java.lang.Object ref = executorImageUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        executorImageUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that will run the
+     * provided python package. AI Platform provides wide range of executor images
+     * with pre-installed packages to meet users' various use cases. Only one of
+     * the provided images can be set here.
+     * </pre>
+     *
+     * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for executorImageUri.
+     */
+    public com.google.protobuf.ByteString getExecutorImageUriBytes() {
+      java.lang.Object ref = executorImageUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        executorImageUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that will run the
+     * provided python package. AI Platform provides wide range of executor images
+     * with pre-installed packages to meet users' various use cases. Only one of
+     * the provided images can be set here.
+     * </pre>
+     *
+     * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The executorImageUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setExecutorImageUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      executorImageUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that will run the
+     * provided python package. AI Platform provides wide range of executor images
+     * with pre-installed packages to meet users' various use cases. Only one of
+     * the provided images can be set here.
+     * </pre>
+     *
+     * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearExecutorImageUri() {
+
+      executorImageUri_ = getDefaultInstance().getExecutorImageUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The URI of a container image in the Container Registry that will run the
+     * provided python package. AI Platform provides wide range of executor images
+     * with pre-installed packages to meet users' various use cases. Only one of
+     * the provided images can be set here.
+     * </pre>
+     *
+     * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for executorImageUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setExecutorImageUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      executorImageUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList packageUris_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensurePackageUrisIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        packageUris_ = new com.google.protobuf.LazyStringArrayList(packageUris_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return A list containing the packageUris.
+     */
+    public com.google.protobuf.ProtocolStringList getPackageUrisList() {
+      return packageUris_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The count of packageUris.
+     */
+    public int getPackageUrisCount() {
+      return packageUris_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param index The index of the element to return.
+     * @return The packageUris at the given index.
+     */
+    public java.lang.String getPackageUris(int index) {
+      return packageUris_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the packageUris at the given index.
+     */
+    public com.google.protobuf.ByteString getPackageUrisBytes(int index) {
+      return packageUris_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The packageUris to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPackageUris(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensurePackageUrisIsMutable();
+      packageUris_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The packageUris to add.
+     * @return This builder for chaining.
+     */
+    public Builder addPackageUris(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensurePackageUrisIsMutable();
+      packageUris_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param values The packageUris to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllPackageUris(java.lang.Iterable<java.lang.String> values) {
+      ensurePackageUrisIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, packageUris_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPackageUris() {
+      packageUris_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Google Cloud Storage location of the Python package files which are
+     * the training program and its dependent packages.
+     * The maximum number of package URIs is 100.
+     * </pre>
+     *
+     * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes of the packageUris to add.
+     * @return This builder for chaining.
+     */
+    public Builder addPackageUrisBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensurePackageUrisIsMutable();
+      packageUris_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pythonModule_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Python module name to run after installing the packages.
+     * </pre>
+     *
+     * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The pythonModule.
+     */
+    public java.lang.String getPythonModule() {
+      java.lang.Object ref = pythonModule_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pythonModule_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Python module name to run after installing the packages.
+     * </pre>
+     *
+     * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for pythonModule.
+     */
+    public com.google.protobuf.ByteString getPythonModuleBytes() {
+      java.lang.Object ref = pythonModule_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pythonModule_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Python module name to run after installing the packages.
+     * </pre>
+     *
+     * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The pythonModule to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPythonModule(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pythonModule_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Python module name to run after installing the packages.
+     * </pre>
+     *
+     * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPythonModule() {
+
+      pythonModule_ = getDefaultInstance().getPythonModule();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Python module name to run after installing the packages.
+     * </pre>
+     *
+     * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for pythonModule to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPythonModuleBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pythonModule_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList args_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureArgsIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        args_ = new com.google.protobuf.LazyStringArrayList(args_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @return A list containing the args.
+     */
+    public com.google.protobuf.ProtocolStringList getArgsList() {
+      return args_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @return The count of args.
+     */
+    public int getArgsCount() {
+      return args_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The args at the given index.
+     */
+    public java.lang.String getArgs(int index) {
+      return args_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the args at the given index.
+     */
+    public com.google.protobuf.ByteString getArgsBytes(int index) {
+      return args_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The args to set.
+     * @return This builder for chaining.
+     */
+    public Builder setArgs(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureArgsIsMutable();
+      args_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @param value The args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addArgs(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureArgsIsMutable();
+      args_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @param values The args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllArgs(java.lang.Iterable<java.lang.String> values) {
+      ensureArgsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, args_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearArgs() {
+      args_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Command line arguments to be passed to the Python task.
+     * </pre>
+     *
+     * <code>repeated string args = 4;</code>
+     *
+     * @param value The bytes of the args to add.
+     * @return This builder for chaining.
+     */
+    public Builder addArgsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureArgsIsMutable();
+      args_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.EnvVar> env_ =
+        java.util.Collections.emptyList();
+
+    private void ensureEnvIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        env_ = new java.util.ArrayList<com.google.cloud.aiplatform.v1.EnvVar>(env_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EnvVar,
+            com.google.cloud.aiplatform.v1.EnvVar.Builder,
+            com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        envBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList() {
+      if (envBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(env_);
+      } else {
+        return envBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public int getEnvCount() {
+      if (envBuilder_ == null) {
+        return env_.size();
+      } else {
+        return envBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar getEnv(int index) {
+      if (envBuilder_ == null) {
+        return env_.get(index);
+      } else {
+        return envBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder setEnv(int index, com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.set(index, value);
+        onChanged();
+      } else {
+        envBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder setEnv(
+        int index, com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder addEnv(com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.add(value);
+        onChanged();
+      } else {
+        envBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder addEnv(int index, com.google.cloud.aiplatform.v1.EnvVar value) {
+      if (envBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureEnvIsMutable();
+        env_.add(index, value);
+        onChanged();
+      } else {
+        envBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder addEnv(com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.add(builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder addEnv(
+        int index, com.google.cloud.aiplatform.v1.EnvVar.Builder builderForValue) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        envBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder addAllEnv(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.EnvVar> values) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, env_);
+        onChanged();
+      } else {
+        envBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder clearEnv() {
+      if (envBuilder_ == null) {
+        env_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000004);
+        onChanged();
+      } else {
+        envBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public Builder removeEnv(int index) {
+      if (envBuilder_ == null) {
+        ensureEnvIsMutable();
+        env_.remove(index);
+        onChanged();
+      } else {
+        envBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder getEnvBuilder(int index) {
+      return getEnvFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index) {
+      if (envBuilder_ == null) {
+        return env_.get(index);
+      } else {
+        return envBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        getEnvOrBuilderList() {
+      if (envBuilder_ != null) {
+        return envBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(env_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder addEnvBuilder() {
+      return getEnvFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.EnvVar.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EnvVar.Builder addEnvBuilder(int index) {
+      return getEnvFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.EnvVar.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Environment variables to be passed to the python module.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.EnvVar.Builder> getEnvBuilderList() {
+      return getEnvFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EnvVar,
+            com.google.cloud.aiplatform.v1.EnvVar.Builder,
+            com.google.cloud.aiplatform.v1.EnvVarOrBuilder>
+        getEnvFieldBuilder() {
+      if (envBuilder_ == null) {
+        envBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EnvVar,
+                com.google.cloud.aiplatform.v1.EnvVar.Builder,
+                com.google.cloud.aiplatform.v1.EnvVarOrBuilder>(
+                env_, ((bitField0_ & 0x00000004) != 0), getParentForChildren(), isClean());
+        env_ = null;
+      }
+      return envBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.PythonPackageSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.PythonPackageSpec)
+  private static final com.google.cloud.aiplatform.v1.PythonPackageSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.PythonPackageSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.PythonPackageSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<PythonPackageSpec> PARSER =
+      new com.google.protobuf.AbstractParser<PythonPackageSpec>() {
+        @java.lang.Override
+        public PythonPackageSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new PythonPackageSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<PythonPackageSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<PythonPackageSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PythonPackageSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpecOrBuilder.java
new file mode 100644
index 000000000..e06a88b36
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/PythonPackageSpecOrBuilder.java
@@ -0,0 +1,242 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface PythonPackageSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.PythonPackageSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The URI of a container image in the Container Registry that will run the
+   * provided python package. AI Platform provides wide range of executor images
+   * with pre-installed packages to meet users' various use cases. Only one of
+   * the provided images can be set here.
+   * </pre>
+   *
+   * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The executorImageUri.
+   */
+  java.lang.String getExecutorImageUri();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The URI of a container image in the Container Registry that will run the
+   * provided python package. AI Platform provides wide range of executor images
+   * with pre-installed packages to meet users' various use cases. Only one of
+   * the provided images can be set here.
+   * </pre>
+   *
+   * <code>string executor_image_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for executorImageUri.
+   */
+  com.google.protobuf.ByteString getExecutorImageUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the Python package files which are
+   * the training program and its dependent packages.
+   * The maximum number of package URIs is 100.
+   * </pre>
+   *
+   * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return A list containing the packageUris.
+   */
+  java.util.List<java.lang.String> getPackageUrisList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the Python package files which are
+   * the training program and its dependent packages.
+   * The maximum number of package URIs is 100.
+   * </pre>
+   *
+   * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The count of packageUris.
+   */
+  int getPackageUrisCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the Python package files which are
+   * the training program and its dependent packages.
+   * The maximum number of package URIs is 100.
+   * </pre>
+   *
+   * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @param index The index of the element to return.
+   * @return The packageUris at the given index.
+   */
+  java.lang.String getPackageUris(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Google Cloud Storage location of the Python package files which are
+   * the training program and its dependent packages.
+   * The maximum number of package URIs is 100.
+   * </pre>
+   *
+   * <code>repeated string package_uris = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the packageUris at the given index.
+   */
+  com.google.protobuf.ByteString getPackageUrisBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Python module name to run after installing the packages.
+   * </pre>
+   *
+   * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The pythonModule.
+   */
+  java.lang.String getPythonModule();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Python module name to run after installing the packages.
+   * </pre>
+   *
+   * <code>string python_module = 3 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for pythonModule.
+   */
+  com.google.protobuf.ByteString getPythonModuleBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Command line arguments to be passed to the Python task.
+   * </pre>
+   *
+   * <code>repeated string args = 4;</code>
+   *
+   * @return A list containing the args.
+   */
+  java.util.List<java.lang.String> getArgsList();
+  /**
+   *
+   *
+   * <pre>
+   * Command line arguments to be passed to the Python task.
+   * </pre>
+   *
+   * <code>repeated string args = 4;</code>
+   *
+   * @return The count of args.
+   */
+  int getArgsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Command line arguments to be passed to the Python task.
+   * </pre>
+   *
+   * <code>repeated string args = 4;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The args at the given index.
+   */
+  java.lang.String getArgs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Command line arguments to be passed to the Python task.
+   * </pre>
+   *
+   * <code>repeated string args = 4;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the args at the given index.
+   */
+  com.google.protobuf.ByteString getArgsBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.EnvVar> getEnvList();
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  com.google.cloud.aiplatform.v1.EnvVar getEnv(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  int getEnvCount();
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder> getEnvOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Environment variables to be passed to the python module.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.EnvVar env = 5;</code>
+   */
+  com.google.cloud.aiplatform.v1.EnvVarOrBuilder getEnvOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumed.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumed.java
new file mode 100644
index 000000000..992288340
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumed.java
@@ -0,0 +1,557 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Statistics information about resource consumption.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.ResourcesConsumed}
+ */
+public final class ResourcesConsumed extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.ResourcesConsumed)
+    ResourcesConsumedOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ResourcesConsumed.newBuilder() to construct.
+  private ResourcesConsumed(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ResourcesConsumed() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ResourcesConsumed();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ResourcesConsumed(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 9:
+            {
+              replicaHours_ = input.readDouble();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.MachineResourcesProto
+        .internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.ResourcesConsumed.class,
+            com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder.class);
+  }
+
+  public static final int REPLICA_HOURS_FIELD_NUMBER = 1;
+  private double replicaHours_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of replica hours used. Note that many replicas may run in
+   * parallel, and additionally any given work may be queued for some time.
+   * Therefore this value is not strictly related to wall time.
+   * </pre>
+   *
+   * <code>double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The replicaHours.
+   */
+  @java.lang.Override
+  public double getReplicaHours() {
+    return replicaHours_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (replicaHours_ != 0D) {
+      output.writeDouble(1, replicaHours_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (replicaHours_ != 0D) {
+      size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, replicaHours_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.ResourcesConsumed)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.ResourcesConsumed other =
+        (com.google.cloud.aiplatform.v1.ResourcesConsumed) obj;
+
+    if (java.lang.Double.doubleToLongBits(getReplicaHours())
+        != java.lang.Double.doubleToLongBits(other.getReplicaHours())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + REPLICA_HOURS_FIELD_NUMBER;
+    hash =
+        (53 * hash)
+            + com.google.protobuf.Internal.hashLong(
+                java.lang.Double.doubleToLongBits(getReplicaHours()));
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.ResourcesConsumed prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Statistics information about resource consumption.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.ResourcesConsumed}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.ResourcesConsumed)
+      com.google.cloud.aiplatform.v1.ResourcesConsumedOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.ResourcesConsumed.class,
+              com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.ResourcesConsumed.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      replicaHours_ = 0D;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MachineResourcesProto
+          .internal_static_google_cloud_aiplatform_v1_ResourcesConsumed_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ResourcesConsumed getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.ResourcesConsumed.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ResourcesConsumed build() {
+      com.google.cloud.aiplatform.v1.ResourcesConsumed result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ResourcesConsumed buildPartial() {
+      com.google.cloud.aiplatform.v1.ResourcesConsumed result =
+          new com.google.cloud.aiplatform.v1.ResourcesConsumed(this);
+      result.replicaHours_ = replicaHours_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.ResourcesConsumed) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.ResourcesConsumed) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.ResourcesConsumed other) {
+      if (other == com.google.cloud.aiplatform.v1.ResourcesConsumed.getDefaultInstance())
+        return this;
+      if (other.getReplicaHours() != 0D) {
+        setReplicaHours(other.getReplicaHours());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.ResourcesConsumed parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.ResourcesConsumed) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private double replicaHours_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of replica hours used. Note that many replicas may run in
+     * parallel, and additionally any given work may be queued for some time.
+     * Therefore this value is not strictly related to wall time.
+     * </pre>
+     *
+     * <code>double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The replicaHours.
+     */
+    @java.lang.Override
+    public double getReplicaHours() {
+      return replicaHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of replica hours used. Note that many replicas may run in
+     * parallel, and additionally any given work may be queued for some time.
+     * Therefore this value is not strictly related to wall time.
+     * </pre>
+     *
+     * <code>double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The replicaHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setReplicaHours(double value) {
+
+      replicaHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of replica hours used. Note that many replicas may run in
+     * parallel, and additionally any given work may be queued for some time.
+     * Therefore this value is not strictly related to wall time.
+     * </pre>
+     *
+     * <code>double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearReplicaHours() {
+
+      replicaHours_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.ResourcesConsumed)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.ResourcesConsumed)
+  private static final com.google.cloud.aiplatform.v1.ResourcesConsumed DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.ResourcesConsumed();
+  }
+
+  public static com.google.cloud.aiplatform.v1.ResourcesConsumed getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ResourcesConsumed> PARSER =
+      new com.google.protobuf.AbstractParser<ResourcesConsumed>() {
+        @java.lang.Override
+        public ResourcesConsumed parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ResourcesConsumed(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ResourcesConsumed> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ResourcesConsumed> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ResourcesConsumed getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumedOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumedOrBuilder.java
new file mode 100644
index 000000000..c740155a5
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ResourcesConsumedOrBuilder.java
@@ -0,0 +1,40 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/machine_resources.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface ResourcesConsumedOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.ResourcesConsumed)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of replica hours used. Note that many replicas may run in
+   * parallel, and additionally any given work may be queued for some time.
+   * Therefore this value is not strictly related to wall time.
+   * </pre>
+   *
+   * <code>double replica_hours = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The replicaHours.
+   */
+  double getReplicaHours();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampleConfig.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampleConfig.java
new file mode 100644
index 000000000..866fbdf35
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampleConfig.java
@@ -0,0 +1,1127 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Active learning data sampling config. For every active learning labeling
+ * iteration, it will select a batch of data based on the sampling strategy.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.SampleConfig}
+ */
+public final class SampleConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.SampleConfig)
+    SampleConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use SampleConfig.newBuilder() to construct.
+  private SampleConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private SampleConfig() {
+    sampleStrategy_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new SampleConfig();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private SampleConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              initialBatchSampleSizeCase_ = 1;
+              initialBatchSampleSize_ = input.readInt32();
+              break;
+            }
+          case 24:
+            {
+              followingBatchSampleSizeCase_ = 3;
+              followingBatchSampleSize_ = input.readInt32();
+              break;
+            }
+          case 40:
+            {
+              int rawValue = input.readEnum();
+
+              sampleStrategy_ = rawValue;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+        .internal_static_google_cloud_aiplatform_v1_SampleConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+        .internal_static_google_cloud_aiplatform_v1_SampleConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.SampleConfig.class,
+            com.google.cloud.aiplatform.v1.SampleConfig.Builder.class);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * Sample strategy decides which subset of DataItems should be selected for
+   * human labeling in every batch.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1.SampleConfig.SampleStrategy}
+   */
+  public enum SampleStrategy implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Default will be treated as UNCERTAINTY.
+     * </pre>
+     *
+     * <code>SAMPLE_STRATEGY_UNSPECIFIED = 0;</code>
+     */
+    SAMPLE_STRATEGY_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * Sample the most uncertain data to label.
+     * </pre>
+     *
+     * <code>UNCERTAINTY = 1;</code>
+     */
+    UNCERTAINTY(1),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Default will be treated as UNCERTAINTY.
+     * </pre>
+     *
+     * <code>SAMPLE_STRATEGY_UNSPECIFIED = 0;</code>
+     */
+    public static final int SAMPLE_STRATEGY_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Sample the most uncertain data to label.
+     * </pre>
+     *
+     * <code>UNCERTAINTY = 1;</code>
+     */
+    public static final int UNCERTAINTY_VALUE = 1;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static SampleStrategy valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static SampleStrategy forNumber(int value) {
+      switch (value) {
+        case 0:
+          return SAMPLE_STRATEGY_UNSPECIFIED;
+        case 1:
+          return UNCERTAINTY;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<SampleStrategy> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<SampleStrategy> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<SampleStrategy>() {
+          public SampleStrategy findValueByNumber(int number) {
+            return SampleStrategy.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SampleConfig.getDescriptor().getEnumTypes().get(0);
+    }
+
+    private static final SampleStrategy[] VALUES = values();
+
+    public static SampleStrategy valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private SampleStrategy(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.SampleConfig.SampleStrategy)
+  }
+
+  private int initialBatchSampleSizeCase_ = 0;
+  private java.lang.Object initialBatchSampleSize_;
+
+  public enum InitialBatchSampleSizeCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    INITIAL_BATCH_SAMPLE_PERCENTAGE(1),
+    INITIALBATCHSAMPLESIZE_NOT_SET(0);
+    private final int value;
+
+    private InitialBatchSampleSizeCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static InitialBatchSampleSizeCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static InitialBatchSampleSizeCase forNumber(int value) {
+      switch (value) {
+        case 1:
+          return INITIAL_BATCH_SAMPLE_PERCENTAGE;
+        case 0:
+          return INITIALBATCHSAMPLESIZE_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public InitialBatchSampleSizeCase getInitialBatchSampleSizeCase() {
+    return InitialBatchSampleSizeCase.forNumber(initialBatchSampleSizeCase_);
+  }
+
+  private int followingBatchSampleSizeCase_ = 0;
+  private java.lang.Object followingBatchSampleSize_;
+
+  public enum FollowingBatchSampleSizeCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    FOLLOWING_BATCH_SAMPLE_PERCENTAGE(3),
+    FOLLOWINGBATCHSAMPLESIZE_NOT_SET(0);
+    private final int value;
+
+    private FollowingBatchSampleSizeCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static FollowingBatchSampleSizeCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static FollowingBatchSampleSizeCase forNumber(int value) {
+      switch (value) {
+        case 3:
+          return FOLLOWING_BATCH_SAMPLE_PERCENTAGE;
+        case 0:
+          return FOLLOWINGBATCHSAMPLESIZE_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public FollowingBatchSampleSizeCase getFollowingBatchSampleSizeCase() {
+    return FollowingBatchSampleSizeCase.forNumber(followingBatchSampleSizeCase_);
+  }
+
+  public static final int INITIAL_BATCH_SAMPLE_PERCENTAGE_FIELD_NUMBER = 1;
+  /**
+   *
+   *
+   * <pre>
+   * The percentage of data needed to be labeled in the first batch.
+   * </pre>
+   *
+   * <code>int32 initial_batch_sample_percentage = 1;</code>
+   *
+   * @return The initialBatchSamplePercentage.
+   */
+  @java.lang.Override
+  public int getInitialBatchSamplePercentage() {
+    if (initialBatchSampleSizeCase_ == 1) {
+      return (java.lang.Integer) initialBatchSampleSize_;
+    }
+    return 0;
+  }
+
+  public static final int FOLLOWING_BATCH_SAMPLE_PERCENTAGE_FIELD_NUMBER = 3;
+  /**
+   *
+   *
+   * <pre>
+   * The percentage of data needed to be labeled in each following batch
+   * (except the first batch).
+   * </pre>
+   *
+   * <code>int32 following_batch_sample_percentage = 3;</code>
+   *
+   * @return The followingBatchSamplePercentage.
+   */
+  @java.lang.Override
+  public int getFollowingBatchSamplePercentage() {
+    if (followingBatchSampleSizeCase_ == 3) {
+      return (java.lang.Integer) followingBatchSampleSize_;
+    }
+    return 0;
+  }
+
+  public static final int SAMPLE_STRATEGY_FIELD_NUMBER = 5;
+  private int sampleStrategy_;
+  /**
+   *
+   *
+   * <pre>
+   * Field to choose sampling strategy. Sampling strategy will decide which data
+   * should be selected for human labeling in every batch.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+   *
+   * @return The enum numeric value on the wire for sampleStrategy.
+   */
+  @java.lang.Override
+  public int getSampleStrategyValue() {
+    return sampleStrategy_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Field to choose sampling strategy. Sampling strategy will decide which data
+   * should be selected for human labeling in every batch.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+   *
+   * @return The sampleStrategy.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy getSampleStrategy() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy result =
+        com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy.valueOf(sampleStrategy_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy.UNRECOGNIZED
+        : result;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (initialBatchSampleSizeCase_ == 1) {
+      output.writeInt32(1, (int) ((java.lang.Integer) initialBatchSampleSize_));
+    }
+    if (followingBatchSampleSizeCase_ == 3) {
+      output.writeInt32(3, (int) ((java.lang.Integer) followingBatchSampleSize_));
+    }
+    if (sampleStrategy_
+        != com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy.SAMPLE_STRATEGY_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(5, sampleStrategy_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (initialBatchSampleSizeCase_ == 1) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeInt32Size(
+              1, (int) ((java.lang.Integer) initialBatchSampleSize_));
+    }
+    if (followingBatchSampleSizeCase_ == 3) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeInt32Size(
+              3, (int) ((java.lang.Integer) followingBatchSampleSize_));
+    }
+    if (sampleStrategy_
+        != com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy.SAMPLE_STRATEGY_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(5, sampleStrategy_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.SampleConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.SampleConfig other =
+        (com.google.cloud.aiplatform.v1.SampleConfig) obj;
+
+    if (sampleStrategy_ != other.sampleStrategy_) return false;
+    if (!getInitialBatchSampleSizeCase().equals(other.getInitialBatchSampleSizeCase()))
+      return false;
+    switch (initialBatchSampleSizeCase_) {
+      case 1:
+        if (getInitialBatchSamplePercentage() != other.getInitialBatchSamplePercentage())
+          return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!getFollowingBatchSampleSizeCase().equals(other.getFollowingBatchSampleSizeCase()))
+      return false;
+    switch (followingBatchSampleSizeCase_) {
+      case 3:
+        if (getFollowingBatchSamplePercentage() != other.getFollowingBatchSamplePercentage())
+          return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + SAMPLE_STRATEGY_FIELD_NUMBER;
+    hash = (53 * hash) + sampleStrategy_;
+    switch (initialBatchSampleSizeCase_) {
+      case 1:
+        hash = (37 * hash) + INITIAL_BATCH_SAMPLE_PERCENTAGE_FIELD_NUMBER;
+        hash = (53 * hash) + getInitialBatchSamplePercentage();
+        break;
+      case 0:
+      default:
+    }
+    switch (followingBatchSampleSizeCase_) {
+      case 3:
+        hash = (37 * hash) + FOLLOWING_BATCH_SAMPLE_PERCENTAGE_FIELD_NUMBER;
+        hash = (53 * hash) + getFollowingBatchSamplePercentage();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.SampleConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Active learning data sampling config. For every active learning labeling
+   * iteration, it will select a batch of data based on the sampling strategy.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.SampleConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.SampleConfig)
+      com.google.cloud.aiplatform.v1.SampleConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_SampleConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_SampleConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.SampleConfig.class,
+              com.google.cloud.aiplatform.v1.SampleConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.SampleConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      sampleStrategy_ = 0;
+
+      initialBatchSampleSizeCase_ = 0;
+      initialBatchSampleSize_ = null;
+      followingBatchSampleSizeCase_ = 0;
+      followingBatchSampleSize_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_SampleConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SampleConfig getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.SampleConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SampleConfig build() {
+      com.google.cloud.aiplatform.v1.SampleConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SampleConfig buildPartial() {
+      com.google.cloud.aiplatform.v1.SampleConfig result =
+          new com.google.cloud.aiplatform.v1.SampleConfig(this);
+      if (initialBatchSampleSizeCase_ == 1) {
+        result.initialBatchSampleSize_ = initialBatchSampleSize_;
+      }
+      if (followingBatchSampleSizeCase_ == 3) {
+        result.followingBatchSampleSize_ = followingBatchSampleSize_;
+      }
+      result.sampleStrategy_ = sampleStrategy_;
+      result.initialBatchSampleSizeCase_ = initialBatchSampleSizeCase_;
+      result.followingBatchSampleSizeCase_ = followingBatchSampleSizeCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.SampleConfig) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.SampleConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.SampleConfig other) {
+      if (other == com.google.cloud.aiplatform.v1.SampleConfig.getDefaultInstance()) return this;
+      if (other.sampleStrategy_ != 0) {
+        setSampleStrategyValue(other.getSampleStrategyValue());
+      }
+      switch (other.getInitialBatchSampleSizeCase()) {
+        case INITIAL_BATCH_SAMPLE_PERCENTAGE:
+          {
+            setInitialBatchSamplePercentage(other.getInitialBatchSamplePercentage());
+            break;
+          }
+        case INITIALBATCHSAMPLESIZE_NOT_SET:
+          {
+            break;
+          }
+      }
+      switch (other.getFollowingBatchSampleSizeCase()) {
+        case FOLLOWING_BATCH_SAMPLE_PERCENTAGE:
+          {
+            setFollowingBatchSamplePercentage(other.getFollowingBatchSamplePercentage());
+            break;
+          }
+        case FOLLOWINGBATCHSAMPLESIZE_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.SampleConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.SampleConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int initialBatchSampleSizeCase_ = 0;
+    private java.lang.Object initialBatchSampleSize_;
+
+    public InitialBatchSampleSizeCase getInitialBatchSampleSizeCase() {
+      return InitialBatchSampleSizeCase.forNumber(initialBatchSampleSizeCase_);
+    }
+
+    public Builder clearInitialBatchSampleSize() {
+      initialBatchSampleSizeCase_ = 0;
+      initialBatchSampleSize_ = null;
+      onChanged();
+      return this;
+    }
+
+    private int followingBatchSampleSizeCase_ = 0;
+    private java.lang.Object followingBatchSampleSize_;
+
+    public FollowingBatchSampleSizeCase getFollowingBatchSampleSizeCase() {
+      return FollowingBatchSampleSizeCase.forNumber(followingBatchSampleSizeCase_);
+    }
+
+    public Builder clearFollowingBatchSampleSize() {
+      followingBatchSampleSizeCase_ = 0;
+      followingBatchSampleSize_ = null;
+      onChanged();
+      return this;
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * The percentage of data needed to be labeled in the first batch.
+     * </pre>
+     *
+     * <code>int32 initial_batch_sample_percentage = 1;</code>
+     *
+     * @return The initialBatchSamplePercentage.
+     */
+    public int getInitialBatchSamplePercentage() {
+      if (initialBatchSampleSizeCase_ == 1) {
+        return (java.lang.Integer) initialBatchSampleSize_;
+      }
+      return 0;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The percentage of data needed to be labeled in the first batch.
+     * </pre>
+     *
+     * <code>int32 initial_batch_sample_percentage = 1;</code>
+     *
+     * @param value The initialBatchSamplePercentage to set.
+     * @return This builder for chaining.
+     */
+    public Builder setInitialBatchSamplePercentage(int value) {
+      initialBatchSampleSizeCase_ = 1;
+      initialBatchSampleSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The percentage of data needed to be labeled in the first batch.
+     * </pre>
+     *
+     * <code>int32 initial_batch_sample_percentage = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearInitialBatchSamplePercentage() {
+      if (initialBatchSampleSizeCase_ == 1) {
+        initialBatchSampleSizeCase_ = 0;
+        initialBatchSampleSize_ = null;
+        onChanged();
+      }
+      return this;
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * The percentage of data needed to be labeled in each following batch
+     * (except the first batch).
+     * </pre>
+     *
+     * <code>int32 following_batch_sample_percentage = 3;</code>
+     *
+     * @return The followingBatchSamplePercentage.
+     */
+    public int getFollowingBatchSamplePercentage() {
+      if (followingBatchSampleSizeCase_ == 3) {
+        return (java.lang.Integer) followingBatchSampleSize_;
+      }
+      return 0;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The percentage of data needed to be labeled in each following batch
+     * (except the first batch).
+     * </pre>
+     *
+     * <code>int32 following_batch_sample_percentage = 3;</code>
+     *
+     * @param value The followingBatchSamplePercentage to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFollowingBatchSamplePercentage(int value) {
+      followingBatchSampleSizeCase_ = 3;
+      followingBatchSampleSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The percentage of data needed to be labeled in each following batch
+     * (except the first batch).
+     * </pre>
+     *
+     * <code>int32 following_batch_sample_percentage = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFollowingBatchSamplePercentage() {
+      if (followingBatchSampleSizeCase_ == 3) {
+        followingBatchSampleSizeCase_ = 0;
+        followingBatchSampleSize_ = null;
+        onChanged();
+      }
+      return this;
+    }
+
+    private int sampleStrategy_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Field to choose sampling strategy. Sampling strategy will decide which data
+     * should be selected for human labeling in every batch.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+     *
+     * @return The enum numeric value on the wire for sampleStrategy.
+     */
+    @java.lang.Override
+    public int getSampleStrategyValue() {
+      return sampleStrategy_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Field to choose sampling strategy. Sampling strategy will decide which data
+     * should be selected for human labeling in every batch.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+     *
+     * @param value The enum numeric value on the wire for sampleStrategy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSampleStrategyValue(int value) {
+
+      sampleStrategy_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Field to choose sampling strategy. Sampling strategy will decide which data
+     * should be selected for human labeling in every batch.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+     *
+     * @return The sampleStrategy.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy getSampleStrategy() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy result =
+          com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy.valueOf(sampleStrategy_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Field to choose sampling strategy. Sampling strategy will decide which data
+     * should be selected for human labeling in every batch.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+     *
+     * @param value The sampleStrategy to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSampleStrategy(
+        com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      sampleStrategy_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Field to choose sampling strategy. Sampling strategy will decide which data
+     * should be selected for human labeling in every batch.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSampleStrategy() {
+
+      sampleStrategy_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.SampleConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.SampleConfig)
+  private static final com.google.cloud.aiplatform.v1.SampleConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.SampleConfig();
+  }
+
+  public static com.google.cloud.aiplatform.v1.SampleConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<SampleConfig> PARSER =
+      new com.google.protobuf.AbstractParser<SampleConfig>() {
+        @java.lang.Override
+        public SampleConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new SampleConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<SampleConfig> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<SampleConfig> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SampleConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampleConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampleConfigOrBuilder.java
new file mode 100644
index 000000000..7492c4a20
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SampleConfigOrBuilder.java
@@ -0,0 +1,85 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface SampleConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.SampleConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The percentage of data needed to be labeled in the first batch.
+   * </pre>
+   *
+   * <code>int32 initial_batch_sample_percentage = 1;</code>
+   *
+   * @return The initialBatchSamplePercentage.
+   */
+  int getInitialBatchSamplePercentage();
+
+  /**
+   *
+   *
+   * <pre>
+   * The percentage of data needed to be labeled in each following batch
+   * (except the first batch).
+   * </pre>
+   *
+   * <code>int32 following_batch_sample_percentage = 3;</code>
+   *
+   * @return The followingBatchSamplePercentage.
+   */
+  int getFollowingBatchSamplePercentage();
+
+  /**
+   *
+   *
+   * <pre>
+   * Field to choose sampling strategy. Sampling strategy will decide which data
+   * should be selected for human labeling in every batch.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+   *
+   * @return The enum numeric value on the wire for sampleStrategy.
+   */
+  int getSampleStrategyValue();
+  /**
+   *
+   *
+   * <pre>
+   * Field to choose sampling strategy. Sampling strategy will decide which data
+   * should be selected for human labeling in every batch.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;</code>
+   *
+   * @return The sampleStrategy.
+   */
+  com.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy getSampleStrategy();
+
+  public com.google.cloud.aiplatform.v1.SampleConfig.InitialBatchSampleSizeCase
+      getInitialBatchSampleSizeCase();
+
+  public com.google.cloud.aiplatform.v1.SampleConfig.FollowingBatchSampleSizeCase
+      getFollowingBatchSampleSizeCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Scheduling.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Scheduling.java
new file mode 100644
index 000000000..18a2d6c91
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Scheduling.java
@@ -0,0 +1,820 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * All parameters related to queuing and scheduling of custom jobs.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.Scheduling}
+ */
+public final class Scheduling extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Scheduling)
+    SchedulingOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Scheduling.newBuilder() to construct.
+  private Scheduling(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private Scheduling() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new Scheduling();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Scheduling(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.protobuf.Duration.Builder subBuilder = null;
+              if (timeout_ != null) {
+                subBuilder = timeout_.toBuilder();
+              }
+              timeout_ =
+                  input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(timeout_);
+                timeout_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 24:
+            {
+              restartJobOnWorkerRestart_ = input.readBool();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_Scheduling_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_Scheduling_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.Scheduling.class,
+            com.google.cloud.aiplatform.v1.Scheduling.Builder.class);
+  }
+
+  public static final int TIMEOUT_FIELD_NUMBER = 1;
+  private com.google.protobuf.Duration timeout_;
+  /**
+   *
+   *
+   * <pre>
+   * The maximum job running time. The default is 7 days.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration timeout = 1;</code>
+   *
+   * @return Whether the timeout field is set.
+   */
+  @java.lang.Override
+  public boolean hasTimeout() {
+    return timeout_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The maximum job running time. The default is 7 days.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration timeout = 1;</code>
+   *
+   * @return The timeout.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Duration getTimeout() {
+    return timeout_ == null ? com.google.protobuf.Duration.getDefaultInstance() : timeout_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The maximum job running time. The default is 7 days.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration timeout = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.DurationOrBuilder getTimeoutOrBuilder() {
+    return getTimeout();
+  }
+
+  public static final int RESTART_JOB_ON_WORKER_RESTART_FIELD_NUMBER = 3;
+  private boolean restartJobOnWorkerRestart_;
+  /**
+   *
+   *
+   * <pre>
+   * Restarts the entire CustomJob if a worker gets restarted.
+   * This feature can be used by distributed training jobs that are not
+   * resilient to workers leaving and joining a job.
+   * </pre>
+   *
+   * <code>bool restart_job_on_worker_restart = 3;</code>
+   *
+   * @return The restartJobOnWorkerRestart.
+   */
+  @java.lang.Override
+  public boolean getRestartJobOnWorkerRestart() {
+    return restartJobOnWorkerRestart_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (timeout_ != null) {
+      output.writeMessage(1, getTimeout());
+    }
+    if (restartJobOnWorkerRestart_ != false) {
+      output.writeBool(3, restartJobOnWorkerRestart_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (timeout_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getTimeout());
+    }
+    if (restartJobOnWorkerRestart_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(3, restartJobOnWorkerRestart_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.Scheduling)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.Scheduling other =
+        (com.google.cloud.aiplatform.v1.Scheduling) obj;
+
+    if (hasTimeout() != other.hasTimeout()) return false;
+    if (hasTimeout()) {
+      if (!getTimeout().equals(other.getTimeout())) return false;
+    }
+    if (getRestartJobOnWorkerRestart() != other.getRestartJobOnWorkerRestart()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasTimeout()) {
+      hash = (37 * hash) + TIMEOUT_FIELD_NUMBER;
+      hash = (53 * hash) + getTimeout().hashCode();
+    }
+    hash = (37 * hash) + RESTART_JOB_ON_WORKER_RESTART_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getRestartJobOnWorkerRestart());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.Scheduling prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * All parameters related to queuing and scheduling of custom jobs.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.Scheduling}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.Scheduling)
+      com.google.cloud.aiplatform.v1.SchedulingOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_Scheduling_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_Scheduling_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.Scheduling.class,
+              com.google.cloud.aiplatform.v1.Scheduling.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.Scheduling.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (timeoutBuilder_ == null) {
+        timeout_ = null;
+      } else {
+        timeout_ = null;
+        timeoutBuilder_ = null;
+      }
+      restartJobOnWorkerRestart_ = false;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_Scheduling_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Scheduling getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Scheduling build() {
+      com.google.cloud.aiplatform.v1.Scheduling result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Scheduling buildPartial() {
+      com.google.cloud.aiplatform.v1.Scheduling result =
+          new com.google.cloud.aiplatform.v1.Scheduling(this);
+      if (timeoutBuilder_ == null) {
+        result.timeout_ = timeout_;
+      } else {
+        result.timeout_ = timeoutBuilder_.build();
+      }
+      result.restartJobOnWorkerRestart_ = restartJobOnWorkerRestart_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.Scheduling) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.Scheduling) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.Scheduling other) {
+      if (other == com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()) return this;
+      if (other.hasTimeout()) {
+        mergeTimeout(other.getTimeout());
+      }
+      if (other.getRestartJobOnWorkerRestart() != false) {
+        setRestartJobOnWorkerRestart(other.getRestartJobOnWorkerRestart());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.Scheduling parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.Scheduling) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.protobuf.Duration timeout_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        timeoutBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     *
+     * @return Whether the timeout field is set.
+     */
+    public boolean hasTimeout() {
+      return timeoutBuilder_ != null || timeout_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     *
+     * @return The timeout.
+     */
+    public com.google.protobuf.Duration getTimeout() {
+      if (timeoutBuilder_ == null) {
+        return timeout_ == null ? com.google.protobuf.Duration.getDefaultInstance() : timeout_;
+      } else {
+        return timeoutBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     */
+    public Builder setTimeout(com.google.protobuf.Duration value) {
+      if (timeoutBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        timeout_ = value;
+        onChanged();
+      } else {
+        timeoutBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     */
+    public Builder setTimeout(com.google.protobuf.Duration.Builder builderForValue) {
+      if (timeoutBuilder_ == null) {
+        timeout_ = builderForValue.build();
+        onChanged();
+      } else {
+        timeoutBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     */
+    public Builder mergeTimeout(com.google.protobuf.Duration value) {
+      if (timeoutBuilder_ == null) {
+        if (timeout_ != null) {
+          timeout_ =
+              com.google.protobuf.Duration.newBuilder(timeout_).mergeFrom(value).buildPartial();
+        } else {
+          timeout_ = value;
+        }
+        onChanged();
+      } else {
+        timeoutBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     */
+    public Builder clearTimeout() {
+      if (timeoutBuilder_ == null) {
+        timeout_ = null;
+        onChanged();
+      } else {
+        timeout_ = null;
+        timeoutBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     */
+    public com.google.protobuf.Duration.Builder getTimeoutBuilder() {
+
+      onChanged();
+      return getTimeoutFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     */
+    public com.google.protobuf.DurationOrBuilder getTimeoutOrBuilder() {
+      if (timeoutBuilder_ != null) {
+        return timeoutBuilder_.getMessageOrBuilder();
+      } else {
+        return timeout_ == null ? com.google.protobuf.Duration.getDefaultInstance() : timeout_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The maximum job running time. The default is 7 days.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration timeout = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        getTimeoutFieldBuilder() {
+      if (timeoutBuilder_ == null) {
+        timeoutBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Duration,
+                com.google.protobuf.Duration.Builder,
+                com.google.protobuf.DurationOrBuilder>(
+                getTimeout(), getParentForChildren(), isClean());
+        timeout_ = null;
+      }
+      return timeoutBuilder_;
+    }
+
+    private boolean restartJobOnWorkerRestart_;
+    /**
+     *
+     *
+     * <pre>
+     * Restarts the entire CustomJob if a worker gets restarted.
+     * This feature can be used by distributed training jobs that are not
+     * resilient to workers leaving and joining a job.
+     * </pre>
+     *
+     * <code>bool restart_job_on_worker_restart = 3;</code>
+     *
+     * @return The restartJobOnWorkerRestart.
+     */
+    @java.lang.Override
+    public boolean getRestartJobOnWorkerRestart() {
+      return restartJobOnWorkerRestart_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Restarts the entire CustomJob if a worker gets restarted.
+     * This feature can be used by distributed training jobs that are not
+     * resilient to workers leaving and joining a job.
+     * </pre>
+     *
+     * <code>bool restart_job_on_worker_restart = 3;</code>
+     *
+     * @param value The restartJobOnWorkerRestart to set.
+     * @return This builder for chaining.
+     */
+    public Builder setRestartJobOnWorkerRestart(boolean value) {
+
+      restartJobOnWorkerRestart_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Restarts the entire CustomJob if a worker gets restarted.
+     * This feature can be used by distributed training jobs that are not
+     * resilient to workers leaving and joining a job.
+     * </pre>
+     *
+     * <code>bool restart_job_on_worker_restart = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearRestartJobOnWorkerRestart() {
+
+      restartJobOnWorkerRestart_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Scheduling)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Scheduling)
+  private static final com.google.cloud.aiplatform.v1.Scheduling DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Scheduling();
+  }
+
+  public static com.google.cloud.aiplatform.v1.Scheduling getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<Scheduling> PARSER =
+      new com.google.protobuf.AbstractParser<Scheduling>() {
+        @java.lang.Override
+        public Scheduling parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Scheduling(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<Scheduling> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<Scheduling> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Scheduling getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SchedulingOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SchedulingOrBuilder.java
new file mode 100644
index 000000000..c8b7b3dcf
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SchedulingOrBuilder.java
@@ -0,0 +1,75 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface SchedulingOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Scheduling)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The maximum job running time. The default is 7 days.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration timeout = 1;</code>
+   *
+   * @return Whether the timeout field is set.
+   */
+  boolean hasTimeout();
+  /**
+   *
+   *
+   * <pre>
+   * The maximum job running time. The default is 7 days.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration timeout = 1;</code>
+   *
+   * @return The timeout.
+   */
+  com.google.protobuf.Duration getTimeout();
+  /**
+   *
+   *
+   * <pre>
+   * The maximum job running time. The default is 7 days.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration timeout = 1;</code>
+   */
+  com.google.protobuf.DurationOrBuilder getTimeoutOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Restarts the entire CustomJob if a worker gets restarted.
+   * This feature can be used by distributed training jobs that are not
+   * resilient to workers leaving and joining a job.
+   * </pre>
+   *
+   * <code>bool restart_job_on_worker_restart = 3;</code>
+   *
+   * @return The restartJobOnWorkerRestart.
+   */
+  boolean getRestartJobOnWorkerRestart();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequest.java
new file mode 100644
index 000000000..406810ea7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequest.java
@@ -0,0 +1,1195 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.SearchMigratableResourcesRequest}
+ */
+public final class SearchMigratableResourcesRequest extends com.google.protobuf.GeneratedMessageV3
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+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.SearchMigratableResourcesRequest)
+    SearchMigratableResourcesRequestOrBuilder {
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+  // Use SearchMigratableResourcesRequest.newBuilder() to construct.
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+   * <pre>
+   * Required. The location that the migratable resources should be searched from.
+   * It's the AI Platform location that the resources can be migrated to, not
+   * the resources' original location.
+   * Format:
+   * `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
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+   * <pre>
+   * Required. The location that the migratable resources should be searched from.
+   * It's the AI Platform location that the resources can be migrated to, not
+   * the resources' original location.
+   * Format:
+   * `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
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+   * Supported filters are:
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+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+   * </pre>
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+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
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+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest parseFrom(
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+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+  /**
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+   *
+   * <pre>
+   * Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.SearchMigratableResourcesRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.SearchMigratableResourcesRequest)
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+    /**
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+     *
+     * <pre>
+     * Required. The location that the migratable resources should be searched from.
+     * It's the AI Platform location that the resources can be migrated to, not
+     * the resources' original location.
+     * Format:
+     * `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location that the migratable resources should be searched from.
+     * It's the AI Platform location that the resources can be migrated to, not
+     * the resources' original location.
+     * Format:
+     * `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location that the migratable resources should be searched from.
+     * It's the AI Platform location that the resources can be migrated to, not
+     * the resources' original location.
+     * Format:
+     * `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location that the migratable resources should be searched from.
+     * It's the AI Platform location that the resources can be migrated to, not
+     * the resources' original location.
+     * Format:
+     * `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The location that the migratable resources should be searched from.
+     * It's the AI Platform location that the resources can be migrated to, not
+     * the resources' original location.
+     * Format:
+     * `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int pageSize_;
+    /**
+     *
+     *
+     * <pre>
+     * The standard page size.
+     * The default and maximum value is 100.
+     * </pre>
+     *
+     * <code>int32 page_size = 2;</code>
+     *
+     * @return The pageSize.
+     */
+    @java.lang.Override
+    public int getPageSize() {
+      return pageSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard page size.
+     * The default and maximum value is 100.
+     * </pre>
+     *
+     * <code>int32 page_size = 2;</code>
+     *
+     * @param value The pageSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageSize(int value) {
+
+      pageSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard page size.
+     * The default and maximum value is 100.
+     * </pre>
+     *
+     * <code>int32 page_size = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageSize() {
+
+      pageSize_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object pageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard page token.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @return The pageToken.
+     */
+    public java.lang.String getPageToken() {
+      java.lang.Object ref = pageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        pageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard page token.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @return The bytes for pageToken.
+     */
+    public com.google.protobuf.ByteString getPageTokenBytes() {
+      java.lang.Object ref = pageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        pageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard page token.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @param value The pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard page token.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPageToken() {
+
+      pageToken_ = getDefaultInstance().getPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard page token.
+     * </pre>
+     *
+     * <code>string page_token = 3;</code>
+     *
+     * @param value The bytes for pageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      pageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.SearchMigratableResourcesRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.SearchMigratableResourcesRequest)
+  private static final com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<SearchMigratableResourcesRequest> PARSER =
+      new com.google.protobuf.AbstractParser<SearchMigratableResourcesRequest>() {
+        @java.lang.Override
+        public SearchMigratableResourcesRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new SearchMigratableResourcesRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<SearchMigratableResourcesRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<SearchMigratableResourcesRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequestOrBuilder.java
new file mode 100644
index 000000000..6e5e23be2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesRequestOrBuilder.java
@@ -0,0 +1,142 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface SearchMigratableResourcesRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.SearchMigratableResourcesRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The location that the migratable resources should be searched from.
+   * It's the AI Platform location that the resources can be migrated to, not
+   * the resources' original location.
+   * Format:
+   * `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The location that the migratable resources should be searched from.
+   * It's the AI Platform location that the resources can be migrated to, not
+   * the resources' original location.
+   * Format:
+   * `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard page size.
+   * The default and maximum value is 100.
+   * </pre>
+   *
+   * <code>int32 page_size = 2;</code>
+   *
+   * @return The pageSize.
+   */
+  int getPageSize();
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard page token.
+   * </pre>
+   *
+   * <code>string page_token = 3;</code>
+   *
+   * @return The pageToken.
+   */
+  java.lang.String getPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard page token.
+   * </pre>
+   *
+   * <code>string page_token = 3;</code>
+   *
+   * @return The bytes for pageToken.
+   */
+  com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponse.java
new file mode 100644
index 000000000..2f5ebf387
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponse.java
@@ -0,0 +1,1211 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.SearchMigratableResourcesResponse}
+ */
+public final class SearchMigratableResourcesResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.SearchMigratableResourcesResponse)
+    SearchMigratableResourcesResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use SearchMigratableResourcesResponse.newBuilder() to construct.
+  private SearchMigratableResourcesResponse(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private SearchMigratableResourcesResponse() {
+    migratableResources_ = java.util.Collections.emptyList();
+    nextPageToken_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new SearchMigratableResourcesResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private SearchMigratableResourcesResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                migratableResources_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.MigratableResource>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              migratableResources_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MigratableResource.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              nextPageToken_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
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+  private java.util.List<com.google.cloud.aiplatform.v1.MigratableResource> migratableResources_;
+  /**
+   *
+   *
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+   * location specified in the request.
+   * </pre>
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+   * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;</code>
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+  }
+  /**
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+   *
+   * <pre>
+   * All migratable resources that can be migrated to the
+   * location specified in the request.
+   * </pre>
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+  }
+  /**
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+  }
+  /**
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+   *
+   * <pre>
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+  public boolean equals(final java.lang.Object obj) {
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+
+    if (!getMigratableResourcesList().equals(other.getMigratableResourcesList())) return false;
+    if (!getNextPageToken().equals(other.getNextPageToken())) return false;
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+    return true;
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+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
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+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.SearchMigratableResourcesResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.SearchMigratableResourcesResponse)
+      com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
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+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse.class,
+              com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
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+    private void maybeForceBuilderInitialization() {
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+    public Builder clear() {
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+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        migratableResourcesBuilder_.clear();
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+      nextPageToken_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1_SearchMigratableResourcesResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse build() {
+      com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse result =
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+      int from_bitField0_ = bitField0_;
+      if (migratableResourcesBuilder_ == null) {
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+        result.migratableResources_ = migratableResources_;
+      } else {
+        result.migratableResources_ = migratableResourcesBuilder_.build();
+      }
+      result.nextPageToken_ = nextPageToken_;
+      onBuilt();
+      return result;
+    }
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+    @java.lang.Override
+    public Builder clone() {
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+    @java.lang.Override
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+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
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+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    @java.lang.Override
+    public Builder setRepeatedField(
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+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse other) {
+      if (other
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+        return this;
+      if (migratableResourcesBuilder_ == null) {
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+            migratableResources_.addAll(other.migratableResources_);
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+          onChanged();
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+        nextPageToken_ = other.nextPageToken_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
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+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
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+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
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+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.MigratableResource> migratableResources_ =
+        java.util.Collections.emptyList();
+
+    private void ensureMigratableResourcesIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        migratableResources_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.MigratableResource>(
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+            com.google.cloud.aiplatform.v1.MigratableResource,
+            com.google.cloud.aiplatform.v1.MigratableResource.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder>
+        migratableResourcesBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.MigratableResource>
+        getMigratableResourcesList() {
+      if (migratableResourcesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(migratableResources_);
+      } else {
+        return migratableResourcesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public int getMigratableResourcesCount() {
+      if (migratableResourcesBuilder_ == null) {
+        return migratableResources_.size();
+      } else {
+        return migratableResourcesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource getMigratableResources(int index) {
+      if (migratableResourcesBuilder_ == null) {
+        return migratableResources_.get(index);
+      } else {
+        return migratableResourcesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder setMigratableResources(
+        int index, com.google.cloud.aiplatform.v1.MigratableResource value) {
+      if (migratableResourcesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigratableResourcesIsMutable();
+        migratableResources_.set(index, value);
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder setMigratableResources(
+        int index, com.google.cloud.aiplatform.v1.MigratableResource.Builder builderForValue) {
+      if (migratableResourcesBuilder_ == null) {
+        ensureMigratableResourcesIsMutable();
+        migratableResources_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder addMigratableResources(com.google.cloud.aiplatform.v1.MigratableResource value) {
+      if (migratableResourcesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigratableResourcesIsMutable();
+        migratableResources_.add(value);
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder addMigratableResources(
+        int index, com.google.cloud.aiplatform.v1.MigratableResource value) {
+      if (migratableResourcesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMigratableResourcesIsMutable();
+        migratableResources_.add(index, value);
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder addMigratableResources(
+        com.google.cloud.aiplatform.v1.MigratableResource.Builder builderForValue) {
+      if (migratableResourcesBuilder_ == null) {
+        ensureMigratableResourcesIsMutable();
+        migratableResources_.add(builderForValue.build());
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder addMigratableResources(
+        int index, com.google.cloud.aiplatform.v1.MigratableResource.Builder builderForValue) {
+      if (migratableResourcesBuilder_ == null) {
+        ensureMigratableResourcesIsMutable();
+        migratableResources_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder addAllMigratableResources(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.MigratableResource> values) {
+      if (migratableResourcesBuilder_ == null) {
+        ensureMigratableResourcesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, migratableResources_);
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder clearMigratableResources() {
+      if (migratableResourcesBuilder_ == null) {
+        migratableResources_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public Builder removeMigratableResources(int index) {
+      if (migratableResourcesBuilder_ == null) {
+        ensureMigratableResourcesIsMutable();
+        migratableResources_.remove(index);
+        onChanged();
+      } else {
+        migratableResourcesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource.Builder getMigratableResourcesBuilder(
+        int index) {
+      return getMigratableResourcesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder
+        getMigratableResourcesOrBuilder(int index) {
+      if (migratableResourcesBuilder_ == null) {
+        return migratableResources_.get(index);
+      } else {
+        return migratableResourcesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder>
+        getMigratableResourcesOrBuilderList() {
+      if (migratableResourcesBuilder_ != null) {
+        return migratableResourcesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(migratableResources_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource.Builder
+        addMigratableResourcesBuilder() {
+      return getMigratableResourcesFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.MigratableResource.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MigratableResource.Builder addMigratableResourcesBuilder(
+        int index) {
+      return getMigratableResourcesFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.MigratableResource.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All migratable resources that can be migrated to the
+     * location specified in the request.
+     * </pre>
+     *
+     * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.MigratableResource.Builder>
+        getMigratableResourcesBuilderList() {
+      return getMigratableResourcesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MigratableResource,
+            com.google.cloud.aiplatform.v1.MigratableResource.Builder,
+            com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder>
+        getMigratableResourcesFieldBuilder() {
+      if (migratableResourcesBuilder_ == null) {
+        migratableResourcesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MigratableResource,
+                com.google.cloud.aiplatform.v1.MigratableResource.Builder,
+                com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder>(
+                migratableResources_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        migratableResources_ = null;
+      }
+      return migratableResourcesBuilder_;
+    }
+
+    private java.lang.Object nextPageToken_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The standard next-page token.
+     * The migratable_resources may not fill page_size in
+     * SearchMigratableResourcesRequest even when there are subsequent pages.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The nextPageToken.
+     */
+    public java.lang.String getNextPageToken() {
+      java.lang.Object ref = nextPageToken_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        nextPageToken_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard next-page token.
+     * The migratable_resources may not fill page_size in
+     * SearchMigratableResourcesRequest even when there are subsequent pages.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return The bytes for nextPageToken.
+     */
+    public com.google.protobuf.ByteString getNextPageTokenBytes() {
+      java.lang.Object ref = nextPageToken_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        nextPageToken_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard next-page token.
+     * The migratable_resources may not fill page_size in
+     * SearchMigratableResourcesRequest even when there are subsequent pages.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageToken(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard next-page token.
+     * The migratable_resources may not fill page_size in
+     * SearchMigratableResourcesRequest even when there are subsequent pages.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearNextPageToken() {
+
+      nextPageToken_ = getDefaultInstance().getNextPageToken();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The standard next-page token.
+     * The migratable_resources may not fill page_size in
+     * SearchMigratableResourcesRequest even when there are subsequent pages.
+     * </pre>
+     *
+     * <code>string next_page_token = 2;</code>
+     *
+     * @param value The bytes for nextPageToken to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNextPageTokenBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      nextPageToken_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.SearchMigratableResourcesResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.SearchMigratableResourcesResponse)
+  private static final com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<SearchMigratableResourcesResponse> PARSER =
+      new com.google.protobuf.AbstractParser<SearchMigratableResourcesResponse>() {
+        @java.lang.Override
+        public SearchMigratableResourcesResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new SearchMigratableResourcesResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<SearchMigratableResourcesResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<SearchMigratableResourcesResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponseOrBuilder.java
new file mode 100644
index 000000000..d9f77d788
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SearchMigratableResourcesResponseOrBuilder.java
@@ -0,0 +1,112 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/migration_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface SearchMigratableResourcesResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.SearchMigratableResourcesResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * All migratable resources that can be migrated to the
+   * location specified in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;</code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.MigratableResource> getMigratableResourcesList();
+  /**
+   *
+   *
+   * <pre>
+   * All migratable resources that can be migrated to the
+   * location specified in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.MigratableResource getMigratableResources(int index);
+  /**
+   *
+   *
+   * <pre>
+   * All migratable resources that can be migrated to the
+   * location specified in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;</code>
+   */
+  int getMigratableResourcesCount();
+  /**
+   *
+   *
+   * <pre>
+   * All migratable resources that can be migrated to the
+   * location specified in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;</code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder>
+      getMigratableResourcesOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * All migratable resources that can be migrated to the
+   * location specified in the request.
+   * </pre>
+   *
+   * <code>repeated .google.cloud.aiplatform.v1.MigratableResource migratable_resources = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.MigratableResourceOrBuilder getMigratableResourcesOrBuilder(
+      int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The standard next-page token.
+   * The migratable_resources may not fill page_size in
+   * SearchMigratableResourcesRequest even when there are subsequent pages.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The nextPageToken.
+   */
+  java.lang.String getNextPageToken();
+  /**
+   *
+   *
+   * <pre>
+   * The standard next-page token.
+   * The migratable_resources may not fill page_size in
+   * SearchMigratableResourcesRequest even when there are subsequent pages.
+   * </pre>
+   *
+   * <code>string next_page_token = 2;</code>
+   *
+   * @return The bytes for nextPageToken.
+   */
+  com.google.protobuf.ByteString getNextPageTokenBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPool.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPool.java
new file mode 100644
index 000000000..bcf7fa18b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPool.java
@@ -0,0 +1,1525 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * SpecialistPool represents customers' own workforce to work on their data
+ * labeling jobs. It includes a group of specialist managers who are responsible
+ * for managing the labelers in this pool as well as customers' data labeling
+ * jobs associated with this pool.
+ * Customers create specialist pool as well as start data labeling jobs on
+ * Cloud, managers and labelers work with the jobs using CrowdCompute console.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.SpecialistPool}
+ */
+public final class SpecialistPool extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.SpecialistPool)
+    SpecialistPoolOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use SpecialistPool.newBuilder() to construct.
+  private SpecialistPool(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private SpecialistPool() {
+    name_ = "";
+    displayName_ = "";
+    specialistManagerEmails_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    pendingDataLabelingJobs_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new SpecialistPool();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private SpecialistPool(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 24:
+            {
+              specialistManagersCount_ = input.readInt32();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                specialistManagerEmails_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              specialistManagerEmails_.add(s);
+              break;
+            }
+          case 42:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                pendingDataLabelingJobs_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              pendingDataLabelingJobs_.add(s);
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        specialistManagerEmails_ = specialistManagerEmails_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        pendingDataLabelingJobs_ = pendingDataLabelingJobs_.getUnmodifiableView();
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolProto
+        .internal_static_google_cloud_aiplatform_v1_SpecialistPool_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolProto
+        .internal_static_google_cloud_aiplatform_v1_SpecialistPool_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.SpecialistPool.class,
+            com.google.cloud.aiplatform.v1.SpecialistPool.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the SpecialistPool.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the SpecialistPool.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
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+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
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+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the SpecialistPool.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * This field should be unique on project-level.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
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+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the SpecialistPool.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * This field should be unique on project-level.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int SPECIALIST_MANAGERS_COUNT_FIELD_NUMBER = 3;
+  private int specialistManagersCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of Specialists in this SpecialistPool.
+   * </pre>
+   *
+   * <code>int32 specialist_managers_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The specialistManagersCount.
+   */
+  @java.lang.Override
+  public int getSpecialistManagersCount() {
+    return specialistManagersCount_;
+  }
+
+  public static final int SPECIALIST_MANAGER_EMAILS_FIELD_NUMBER = 4;
+  private com.google.protobuf.LazyStringList specialistManagerEmails_;
+  /**
+   *
+   *
+   * <pre>
+   * The email addresses of the specialists in the SpecialistPool.
+   * </pre>
+   *
+   * <code>repeated string specialist_manager_emails = 4;</code>
+   *
+   * @return A list containing the specialistManagerEmails.
+   */
+  public com.google.protobuf.ProtocolStringList getSpecialistManagerEmailsList() {
+    return specialistManagerEmails_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The email addresses of the specialists in the SpecialistPool.
+   * </pre>
+   *
+   * <code>repeated string specialist_manager_emails = 4;</code>
+   *
+   * @return The count of specialistManagerEmails.
+   */
+  public int getSpecialistManagerEmailsCount() {
+    return specialistManagerEmails_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The email addresses of the specialists in the SpecialistPool.
+   * </pre>
+   *
+   * <code>repeated string specialist_manager_emails = 4;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The specialistManagerEmails at the given index.
+   */
+  public java.lang.String getSpecialistManagerEmails(int index) {
+    return specialistManagerEmails_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The email addresses of the specialists in the SpecialistPool.
+   * </pre>
+   *
+   * <code>repeated string specialist_manager_emails = 4;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the specialistManagerEmails at the given index.
+   */
+  public com.google.protobuf.ByteString getSpecialistManagerEmailsBytes(int index) {
+    return specialistManagerEmails_.getByteString(index);
+  }
+
+  public static final int PENDING_DATA_LABELING_JOBS_FIELD_NUMBER = 5;
+  private com.google.protobuf.LazyStringList pendingDataLabelingJobs_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the pending data labeling jobs.
+   * </pre>
+   *
+   * <code>
+   * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the pendingDataLabelingJobs.
+   */
+  public com.google.protobuf.ProtocolStringList getPendingDataLabelingJobsList() {
+    return pendingDataLabelingJobs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the pending data labeling jobs.
+   * </pre>
+   *
+   * <code>
+   * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The count of pendingDataLabelingJobs.
+   */
+  public int getPendingDataLabelingJobsCount() {
+    return pendingDataLabelingJobs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the pending data labeling jobs.
+   * </pre>
+   *
+   * <code>
+   * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The pendingDataLabelingJobs at the given index.
+   */
+  public java.lang.String getPendingDataLabelingJobs(int index) {
+    return pendingDataLabelingJobs_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the pending data labeling jobs.
+   * </pre>
+   *
+   * <code>
+   * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the pendingDataLabelingJobs at the given index.
+   */
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+    return pendingDataLabelingJobs_.getByteString(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
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+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (specialistManagersCount_ != 0) {
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+    }
+    for (int i = 0; i < specialistManagerEmails_.size(); i++) {
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+    for (int i = 0; i < pendingDataLabelingJobs_.size(); i++) {
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+      size += 1 * getSpecialistManagerEmailsList().size();
+    }
+    {
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+      for (int i = 0; i < pendingDataLabelingJobs_.size(); i++) {
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+      size += 1 * getPendingDataLabelingJobsList().size();
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.SpecialistPool)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.SpecialistPool other =
+        (com.google.cloud.aiplatform.v1.SpecialistPool) obj;
+
+    if (!getName().equals(other.getName())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (getSpecialistManagersCount() != other.getSpecialistManagersCount()) return false;
+    if (!getSpecialistManagerEmailsList().equals(other.getSpecialistManagerEmailsList()))
+      return false;
+    if (!getPendingDataLabelingJobsList().equals(other.getPendingDataLabelingJobsList()))
+      return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getName().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    hash = (37 * hash) + SPECIALIST_MANAGERS_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + getSpecialistManagersCount();
+    if (getSpecialistManagerEmailsCount() > 0) {
+      hash = (37 * hash) + SPECIALIST_MANAGER_EMAILS_FIELD_NUMBER;
+      hash = (53 * hash) + getSpecialistManagerEmailsList().hashCode();
+    }
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+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.SpecialistPool prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * SpecialistPool represents customers' own workforce to work on their data
+   * labeling jobs. It includes a group of specialist managers who are responsible
+   * for managing the labelers in this pool as well as customers' data labeling
+   * jobs associated with this pool.
+   * Customers create specialist pool as well as start data labeling jobs on
+   * Cloud, managers and labelers work with the jobs using CrowdCompute console.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.SpecialistPool}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.SpecialistPool)
+      com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolProto
+          .internal_static_google_cloud_aiplatform_v1_SpecialistPool_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+      return com.google.cloud.aiplatform.v1.SpecialistPoolProto
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+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.SpecialistPool.class,
+              com.google.cloud.aiplatform.v1.SpecialistPool.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.SpecialistPool.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
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+    @java.lang.Override
+    public Builder clear() {
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+      name_ = "";
+
+      displayName_ = "";
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+      specialistManagersCount_ = 0;
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+      specialistManagerEmails_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      pendingDataLabelingJobs_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolProto
+          .internal_static_google_cloud_aiplatform_v1_SpecialistPool_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SpecialistPool getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SpecialistPool build() {
+      com.google.cloud.aiplatform.v1.SpecialistPool result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.SpecialistPool buildPartial() {
+      com.google.cloud.aiplatform.v1.SpecialistPool result =
+          new com.google.cloud.aiplatform.v1.SpecialistPool(this);
+      int from_bitField0_ = bitField0_;
+      result.name_ = name_;
+      result.displayName_ = displayName_;
+      result.specialistManagersCount_ = specialistManagersCount_;
+      if (((bitField0_ & 0x00000001) != 0)) {
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+      if (((bitField0_ & 0x00000002) != 0)) {
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+      onBuilt();
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+    @java.lang.Override
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.SpecialistPool) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.SpecialistPool) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.SpecialistPool other) {
+      if (other == com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance()) return this;
+      if (!other.getName().isEmpty()) {
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+        onChanged();
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+      if (!other.getDisplayName().isEmpty()) {
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+      if (other.getSpecialistManagersCount() != 0) {
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+        } else {
+          ensureSpecialistManagerEmailsIsMutable();
+          specialistManagerEmails_.addAll(other.specialistManagerEmails_);
+        }
+        onChanged();
+      }
+      if (!other.pendingDataLabelingJobs_.isEmpty()) {
+        if (pendingDataLabelingJobs_.isEmpty()) {
+          pendingDataLabelingJobs_ = other.pendingDataLabelingJobs_;
+          bitField0_ = (bitField0_ & ~0x00000002);
+        } else {
+          ensurePendingDataLabelingJobsIsMutable();
+          pendingDataLabelingJobs_.addAll(other.pendingDataLabelingJobs_);
+        }
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.SpecialistPool parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.SpecialistPool) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The name.
+     */
+    public java.lang.String getName() {
+      java.lang.Object ref = name_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        name_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for name.
+     */
+    public com.google.protobuf.ByteString getNameBytes() {
+      java.lang.Object ref = name_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        name_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the SpecialistPool.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the SpecialistPool.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * This field should be unique on project-level.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the SpecialistPool.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * This field should be unique on project-level.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the SpecialistPool.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * This field should be unique on project-level.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the SpecialistPool.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * This field should be unique on project-level.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of the SpecialistPool.
+     * The name can be up to 128 characters long and can be consist of any UTF-8
+     * characters.
+     * This field should be unique on project-level.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int specialistManagersCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of Specialists in this SpecialistPool.
+     * </pre>
+     *
+     * <code>int32 specialist_managers_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The specialistManagersCount.
+     */
+    @java.lang.Override
+    public int getSpecialistManagersCount() {
+      return specialistManagersCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of Specialists in this SpecialistPool.
+     * </pre>
+     *
+     * <code>int32 specialist_managers_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The specialistManagersCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSpecialistManagersCount(int value) {
+
+      specialistManagersCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The number of Specialists in this SpecialistPool.
+     * </pre>
+     *
+     * <code>int32 specialist_managers_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSpecialistManagersCount() {
+
+      specialistManagersCount_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList specialistManagerEmails_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureSpecialistManagerEmailsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        specialistManagerEmails_ =
+            new com.google.protobuf.LazyStringArrayList(specialistManagerEmails_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @return A list containing the specialistManagerEmails.
+     */
+    public com.google.protobuf.ProtocolStringList getSpecialistManagerEmailsList() {
+      return specialistManagerEmails_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @return The count of specialistManagerEmails.
+     */
+    public int getSpecialistManagerEmailsCount() {
+      return specialistManagerEmails_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The specialistManagerEmails at the given index.
+     */
+    public java.lang.String getSpecialistManagerEmails(int index) {
+      return specialistManagerEmails_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the specialistManagerEmails at the given index.
+     */
+    public com.google.protobuf.ByteString getSpecialistManagerEmailsBytes(int index) {
+      return specialistManagerEmails_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The specialistManagerEmails to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSpecialistManagerEmails(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSpecialistManagerEmailsIsMutable();
+      specialistManagerEmails_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @param value The specialistManagerEmails to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSpecialistManagerEmails(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureSpecialistManagerEmailsIsMutable();
+      specialistManagerEmails_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @param values The specialistManagerEmails to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllSpecialistManagerEmails(java.lang.Iterable<java.lang.String> values) {
+      ensureSpecialistManagerEmailsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, specialistManagerEmails_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSpecialistManagerEmails() {
+      specialistManagerEmails_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The email addresses of the specialists in the SpecialistPool.
+     * </pre>
+     *
+     * <code>repeated string specialist_manager_emails = 4;</code>
+     *
+     * @param value The bytes of the specialistManagerEmails to add.
+     * @return This builder for chaining.
+     */
+    public Builder addSpecialistManagerEmailsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureSpecialistManagerEmailsIsMutable();
+      specialistManagerEmails_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList pendingDataLabelingJobs_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensurePendingDataLabelingJobsIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        pendingDataLabelingJobs_ =
+            new com.google.protobuf.LazyStringArrayList(pendingDataLabelingJobs_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return A list containing the pendingDataLabelingJobs.
+     */
+    public com.google.protobuf.ProtocolStringList getPendingDataLabelingJobsList() {
+      return pendingDataLabelingJobs_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The count of pendingDataLabelingJobs.
+     */
+    public int getPendingDataLabelingJobsCount() {
+      return pendingDataLabelingJobs_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the element to return.
+     * @return The pendingDataLabelingJobs at the given index.
+     */
+    public java.lang.String getPendingDataLabelingJobs(int index) {
+      return pendingDataLabelingJobs_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the pendingDataLabelingJobs at the given index.
+     */
+    public com.google.protobuf.ByteString getPendingDataLabelingJobsBytes(int index) {
+      return pendingDataLabelingJobs_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param index The index to set the value at.
+     * @param value The pendingDataLabelingJobs to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPendingDataLabelingJobs(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensurePendingDataLabelingJobsIsMutable();
+      pendingDataLabelingJobs_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The pendingDataLabelingJobs to add.
+     * @return This builder for chaining.
+     */
+    public Builder addPendingDataLabelingJobs(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensurePendingDataLabelingJobsIsMutable();
+      pendingDataLabelingJobs_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param values The pendingDataLabelingJobs to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllPendingDataLabelingJobs(java.lang.Iterable<java.lang.String> values) {
+      ensurePendingDataLabelingJobsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, pendingDataLabelingJobs_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPendingDataLabelingJobs() {
+      pendingDataLabelingJobs_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The resource name of the pending data labeling jobs.
+     * </pre>
+     *
+     * <code>
+     * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The bytes of the pendingDataLabelingJobs to add.
+     * @return This builder for chaining.
+     */
+    public Builder addPendingDataLabelingJobsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensurePendingDataLabelingJobsIsMutable();
+      pendingDataLabelingJobs_.add(value);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.SpecialistPool)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.SpecialistPool)
+  private static final com.google.cloud.aiplatform.v1.SpecialistPool DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.SpecialistPool();
+  }
+
+  public static com.google.cloud.aiplatform.v1.SpecialistPool getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<SpecialistPool> PARSER =
+      new com.google.protobuf.AbstractParser<SpecialistPool>() {
+        @java.lang.Override
+        public SpecialistPool parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new SpecialistPool(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<SpecialistPool> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<SpecialistPool> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SpecialistPool getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolName.java
new file mode 100644
index 000000000..544e34a47
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolName.java
@@ -0,0 +1,227 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class SpecialistPoolName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_SPECIALIST_POOL =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/specialistPools/{specialist_pool}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String specialistPool;
+
+  @Deprecated
+  protected SpecialistPoolName() {
+    project = null;
+    location = null;
+    specialistPool = null;
+  }
+
+  private SpecialistPoolName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    specialistPool = Preconditions.checkNotNull(builder.getSpecialistPool());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getSpecialistPool() {
+    return specialistPool;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static SpecialistPoolName of(String project, String location, String specialistPool) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setSpecialistPool(specialistPool)
+        .build();
+  }
+
+  public static String format(String project, String location, String specialistPool) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setSpecialistPool(specialistPool)
+        .build()
+        .toString();
+  }
+
+  public static SpecialistPoolName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_SPECIALIST_POOL.validatedMatch(
+            formattedString, "SpecialistPoolName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("specialist_pool"));
+  }
+
+  public static List<SpecialistPoolName> parseList(List<String> formattedStrings) {
+    List<SpecialistPoolName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<SpecialistPoolName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (SpecialistPoolName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_SPECIALIST_POOL.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (specialistPool != null) {
+            fieldMapBuilder.put("specialist_pool", specialistPool);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_SPECIALIST_POOL.instantiate(
+        "project", project, "location", location, "specialist_pool", specialistPool);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      SpecialistPoolName that = ((SpecialistPoolName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.specialistPool, that.specialistPool);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(specialistPool);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/specialistPools/{specialist_pool}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String specialistPool;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getSpecialistPool() {
+      return specialistPool;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setSpecialistPool(String specialistPool) {
+      this.specialistPool = specialistPool;
+      return this;
+    }
+
+    private Builder(SpecialistPoolName specialistPoolName) {
+      project = specialistPoolName.project;
+      location = specialistPoolName.location;
+      specialistPool = specialistPoolName.specialistPool;
+    }
+
+    public SpecialistPoolName build() {
+      return new SpecialistPoolName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolOrBuilder.java
new file mode 100644
index 000000000..77d7e405a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolOrBuilder.java
@@ -0,0 +1,204 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface SpecialistPoolOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.SpecialistPool)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the SpecialistPool.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the SpecialistPool.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the SpecialistPool.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * This field should be unique on project-level.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of the SpecialistPool.
+   * The name can be up to 128 characters long and can be consist of any UTF-8
+   * characters.
+   * This field should be unique on project-level.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The number of Specialists in this SpecialistPool.
+   * </pre>
+   *
+   * <code>int32 specialist_managers_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The specialistManagersCount.
+   */
+  int getSpecialistManagersCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * The email addresses of the specialists in the SpecialistPool.
+   * </pre>
+   *
+   * <code>repeated string specialist_manager_emails = 4;</code>
+   *
+   * @return A list containing the specialistManagerEmails.
+   */
+  java.util.List<java.lang.String> getSpecialistManagerEmailsList();
+  /**
+   *
+   *
+   * <pre>
+   * The email addresses of the specialists in the SpecialistPool.
+   * </pre>
+   *
+   * <code>repeated string specialist_manager_emails = 4;</code>
+   *
+   * @return The count of specialistManagerEmails.
+   */
+  int getSpecialistManagerEmailsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The email addresses of the specialists in the SpecialistPool.
+   * </pre>
+   *
+   * <code>repeated string specialist_manager_emails = 4;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The specialistManagerEmails at the given index.
+   */
+  java.lang.String getSpecialistManagerEmails(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The email addresses of the specialists in the SpecialistPool.
+   * </pre>
+   *
+   * <code>repeated string specialist_manager_emails = 4;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the specialistManagerEmails at the given index.
+   */
+  com.google.protobuf.ByteString getSpecialistManagerEmailsBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the pending data labeling jobs.
+   * </pre>
+   *
+   * <code>
+   * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return A list containing the pendingDataLabelingJobs.
+   */
+  java.util.List<java.lang.String> getPendingDataLabelingJobsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the pending data labeling jobs.
+   * </pre>
+   *
+   * <code>
+   * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The count of pendingDataLabelingJobs.
+   */
+  int getPendingDataLabelingJobsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the pending data labeling jobs.
+   * </pre>
+   *
+   * <code>
+   * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the element to return.
+   * @return The pendingDataLabelingJobs at the given index.
+   */
+  java.lang.String getPendingDataLabelingJobs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The resource name of the pending data labeling jobs.
+   * </pre>
+   *
+   * <code>
+   * repeated string pending_data_labeling_jobs = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the pendingDataLabelingJobs at the given index.
+   */
+  com.google.protobuf.ByteString getPendingDataLabelingJobsBytes(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolProto.java
new file mode 100644
index 000000000..2f9025092
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolProto.java
@@ -0,0 +1,92 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class SpecialistPoolProto {
+  private SpecialistPoolProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_SpecialistPool_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_SpecialistPool_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n0google/cloud/aiplatform/v1/specialist_"
+          + "pool.proto\022\032google.cloud.aiplatform.v1\032\037"
+          + "google/api/field_behavior.proto\032\031google/"
+          + "api/resource.proto\032\034google/api/annotatio"
+          + "ns.proto\"\254\002\n\016SpecialistPool\022\021\n\004name\030\001 \001("
+          + "\tB\003\340A\002\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022&\n\031spe"
+          + "cialist_managers_count\030\003 \001(\005B\003\340A\003\022!\n\031spe"
+          + "cialist_manager_emails\030\004 \003(\t\022\'\n\032pending_"
+          + "data_labeling_jobs\030\005 \003(\tB\003\340A\003:x\352Au\n(aipl"
+          + "atform.googleapis.com/SpecialistPool\022Ipr"
+          + "ojects/{project}/locations/{location}/sp"
+          + "ecialistPools/{specialist_pool}B}\n\036com.g"
+          + "oogle.cloud.aiplatform.v1B\023SpecialistPoo"
+          + "lProtoP\001ZDgoogle.golang.org/genproto/goo"
+          + "gleapis/cloud/aiplatform/v1;aiplatformb\006"
+          + "proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_SpecialistPool_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_SpecialistPool_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_SpecialistPool_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "SpecialistManagersCount",
+              "SpecialistManagerEmails",
+              "PendingDataLabelingJobs",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceProto.java
new file mode 100644
index 000000000..9a46c5d97
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/SpecialistPoolServiceProto.java
@@ -0,0 +1,245 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class SpecialistPoolServiceProto {
+  private SpecialistPoolServiceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsResponse_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsResponse_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n8google/cloud/aiplatform/v1/specialist_"
+          + "pool_service.proto\022\032google.cloud.aiplatf"
+          + "orm.v1\032\034google/api/annotations.proto\032\027go"
+          + "ogle/api/client.proto\032\037google/api/field_"
+          + "behavior.proto\032\031google/api/resource.prot"
+          + "o\032*google/cloud/aiplatform/v1/operation."
+          + "proto\0320google/cloud/aiplatform/v1/specia"
+          + "list_pool.proto\032#google/longrunning/oper"
+          + "ations.proto\032 google/protobuf/field_mask"
+          + ".proto\"\242\001\n\033CreateSpecialistPoolRequest\0229"
+          + "\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.google"
+          + "apis.com/Location\022H\n\017specialist_pool\030\002 \001"
+          + "(\0132*.google.cloud.aiplatform.v1.Speciali"
+          + "stPoolB\003\340A\002\"w\n%CreateSpecialistPoolOpera"
+          + "tionMetadata\022N\n\020generic_metadata\030\001 \001(\01324"
+          + ".google.cloud.aiplatform.v1.GenericOpera"
+          + "tionMetadata\"Z\n\030GetSpecialistPoolRequest"
+          + "\022>\n\004name\030\001 \001(\tB0\340A\002\372A*\n(aiplatform.googl"
+          + "eapis.com/SpecialistPool\"\255\001\n\032ListSpecial"
+          + "istPoolsRequest\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n"
+          + "!locations.googleapis.com/Location\022\021\n\tpa"
+          + "ge_size\030\002 \001(\005\022\022\n\npage_token\030\003 \001(\t\022-\n\trea"
+          + "d_mask\030\004 \001(\0132\032.google.protobuf.FieldMask"
+          + "\"|\n\033ListSpecialistPoolsResponse\022D\n\020speci"
+          + "alist_pools\030\001 \003(\0132*.google.cloud.aiplatf"
+          + "orm.v1.SpecialistPool\022\027\n\017next_page_token"
+          + "\030\002 \001(\t\"l\n\033DeleteSpecialistPoolRequest\022>\n"
+          + "\004name\030\001 \001(\tB0\340A\002\372A*\n(aiplatform.googleap"
+          + "is.com/SpecialistPool\022\r\n\005force\030\002 \001(\010\"\235\001\n"
+          + "\033UpdateSpecialistPoolRequest\022H\n\017speciali"
+          + "st_pool\030\001 \001(\0132*.google.cloud.aiplatform."
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+          + "%UpdateSpecialistPoolOperationMetadata\022I"
+          + "\n\017specialist_pool\030\001 \001(\tB0\340A\003\372A*\n(aiplatf"
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+          + "cts/*/locations/*}/specialistPools:\017spec"
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+          + "\016SpecialistPool\022%CreateSpecialistPoolOpe"
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+          + "oolRequest\032*.google.cloud.aiplatform.v1."
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+          + "ts/*/locations/*/specialistPools/*}\332A\004na"
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+          + "=projects/*/locations/*}/specialistPools"
+          + "\332A\006parent\022\345\001\n\024DeleteSpecialistPool\0227.goo"
+          + "gle.cloud.aiplatform.v1.DeleteSpecialist"
+          + "PoolRequest\032\035.google.longrunning.Operati"
+          + "on\"u\202\323\344\223\0025*3/v1/{name=projects/*/locatio"
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+          + "a\022\245\002\n\024UpdateSpecialistPool\0227.google.clou"
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+          + "est\032\035.google.longrunning.Operation\"\264\001\202\323\344"
+          + "\223\002V2C/v1/{specialist_pool.name=projects/"
+          + "*/locations/*/specialistPools/*}:\017specia"
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+          + "h/cloud-platformB\204\001\n\036com.google.cloud.ai"
+          + "platform.v1B\032SpecialistPoolServiceProtoP"
+          + "\001ZDgoogle.golang.org/genproto/googleapis"
+          + "/cloud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+              com.google.api.ClientProto.getDescriptor(),
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.OperationProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.SpecialistPoolProto.getDescriptor(),
+              com.google.longrunning.OperationsProto.getDescriptor(),
+              com.google.protobuf.FieldMaskProto.getDescriptor(),
+            });
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+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "SpecialistPool",
+            });
+    internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_CreateSpecialistPoolOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "GenericMetadata",
+            });
+    internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_GetSpecialistPoolRequest_descriptor,
+            new java.lang.String[] {
+              "Name",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsRequest_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsRequest_descriptor,
+            new java.lang.String[] {
+              "Parent", "PageSize", "PageToken", "ReadMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsResponse_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsResponse_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_ListSpecialistPoolsResponse_descriptor,
+            new java.lang.String[] {
+              "SpecialistPools", "NextPageToken",
+            });
+    internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_DeleteSpecialistPoolRequest_descriptor,
+            new java.lang.String[] {
+              "Name", "Force",
+            });
+    internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_descriptor =
+        getDescriptor().getMessageTypes().get(6);
+    internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_descriptor,
+            new java.lang.String[] {
+              "SpecialistPool", "UpdateMask",
+            });
+    internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(7);
+    internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_descriptor,
+            new java.lang.String[] {
+              "SpecialistPool", "GenericMetadata",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.ClientProto.defaultHost);
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.AnnotationsProto.http);
+    registry.add(com.google.api.ClientProto.methodSignature);
+    registry.add(com.google.api.ClientProto.oauthScopes);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    registry.add(com.google.longrunning.OperationsProto.operationInfo);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.AnnotationsProto.getDescriptor();
+    com.google.api.ClientProto.getDescriptor();
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.OperationProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.SpecialistPoolProto.getDescriptor();
+    com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.protobuf.FieldMaskProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudyProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudyProto.java
new file mode 100644
index 000000000..45d3a0dbd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudyProto.java
@@ -0,0 +1,372 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/study.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class StudyProto {
+  private StudyProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Trial_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Trial_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Trial_Parameter_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Trial_Parameter_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Measurement_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Measurement_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_Measurement_Metric_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_Measurement_Metric_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n&google/cloud/aiplatform/v1/study.proto"
+          + "\022\032google.cloud.aiplatform.v1\032\037google/api"
+          + "/field_behavior.proto\032\031google/api/resour"
+          + "ce.proto\032\036google/protobuf/duration.proto"
+          + "\032\034google/protobuf/struct.proto\032\037google/p"
+          + "rotobuf/timestamp.proto\032\036google/protobuf"
+          + "/wrappers.proto\032\034google/api/annotations."
+          + "proto\"\267\005\n\005Trial\022\017\n\002id\030\002 \001(\tB\003\340A\003\022;\n\005stat"
+          + "e\030\003 \001(\0162\'.google.cloud.aiplatform.v1.Tri"
+          + "al.StateB\003\340A\003\022D\n\nparameters\030\004 \003(\0132+.goog"
+          + "le.cloud.aiplatform.v1.Trial.ParameterB\003"
+          + "\340A\003\022G\n\021final_measurement\030\005 \001(\0132\'.google."
+          + "cloud.aiplatform.v1.MeasurementB\003\340A\003\0223\n\n"
+          + "start_time\030\007 \001(\0132\032.google.protobuf.Times"
+          + "tampB\003\340A\003\0221\n\010end_time\030\010 \001(\0132\032.google.pro"
+          + "tobuf.TimestampB\003\340A\003\022?\n\ncustom_job\030\013 \001(\t"
+          + "B+\340A\003\372A%\n#aiplatform.googleapis.com/Cust"
+          + "omJob\032R\n\tParameter\022\031\n\014parameter_id\030\001 \001(\t"
+          + "B\003\340A\003\022*\n\005value\030\002 \001(\0132\026.google.protobuf.V"
+          + "alueB\003\340A\003\"f\n\005State\022\025\n\021STATE_UNSPECIFIED\020"
+          + "\000\022\r\n\tREQUESTED\020\001\022\n\n\006ACTIVE\020\002\022\014\n\010STOPPING"
+          + "\020\003\022\r\n\tSUCCEEDED\020\004\022\016\n\nINFEASIBLE\020\005:l\352Ai\n\037"
+          + "aiplatform.googleapis.com/Trial\022Fproject"
+          + "s/{project}/locations/{location}/studies"
+          + "/{study}/trials/{trial}\"\366\023\n\tStudySpec\022F\n"
+          + "\007metrics\030\001 \003(\01320.google.cloud.aiplatform"
+          + ".v1.StudySpec.MetricSpecB\003\340A\002\022L\n\nparamet"
+          + "ers\030\002 \003(\01323.google.cloud.aiplatform.v1.S"
+          + "tudySpec.ParameterSpecB\003\340A\002\022B\n\talgorithm"
+          + "\030\003 \001(\0162/.google.cloud.aiplatform.v1.Stud"
+          + "ySpec.Algorithm\022Q\n\021observation_noise\030\006 \001"
+          + "(\01626.google.cloud.aiplatform.v1.StudySpe"
+          + "c.ObservationNoise\022b\n\032measurement_select"
+          + "ion_type\030\007 \001(\0162>.google.cloud.aiplatform"
+          + ".v1.StudySpec.MeasurementSelectionType\032\265"
+          + "\001\n\nMetricSpec\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\002\022L\n"
+          + "\004goal\030\002 \001(\01629.google.cloud.aiplatform.v1"
+          + ".StudySpec.MetricSpec.GoalTypeB\003\340A\002\"A\n\010G"
+          + "oalType\022\031\n\025GOAL_TYPE_UNSPECIFIED\020\000\022\014\n\010MA"
+          + "XIMIZE\020\001\022\014\n\010MINIMIZE\020\002\032\225\r\n\rParameterSpec"
+          + "\022`\n\021double_value_spec\030\002 \001(\0132C.google.clo"
+          + "ud.aiplatform.v1.StudySpec.ParameterSpec"
+          + ".DoubleValueSpecH\000\022b\n\022integer_value_spec"
+          + "\030\003 \001(\0132D.google.cloud.aiplatform.v1.Stud"
+          + "ySpec.ParameterSpec.IntegerValueSpecH\000\022j"
+          + "\n\026categorical_value_spec\030\004 \001(\0132H.google."
+          + "cloud.aiplatform.v1.StudySpec.ParameterS"
+          + "pec.CategoricalValueSpecH\000\022d\n\023discrete_v"
+          + "alue_spec\030\005 \001(\0132E.google.cloud.aiplatfor"
+          + "m.v1.StudySpec.ParameterSpec.DiscreteVal"
+          + "ueSpecH\000\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\002\022Q\n\ns"
+          + "cale_type\030\006 \001(\0162=.google.cloud.aiplatfor"
+          + "m.v1.StudySpec.ParameterSpec.ScaleType\022q"
+          + "\n\033conditional_parameter_specs\030\n \003(\0132L.go"
+          + "ogle.cloud.aiplatform.v1.StudySpec.Param"
+          + "eterSpec.ConditionalParameterSpec\032A\n\017Dou"
+          + "bleValueSpec\022\026\n\tmin_value\030\001 \001(\001B\003\340A\002\022\026\n\t"
+          + "max_value\030\002 \001(\001B\003\340A\002\032B\n\020IntegerValueSpec"
+          + "\022\026\n\tmin_value\030\001 \001(\003B\003\340A\002\022\026\n\tmax_value\030\002 "
+          + "\001(\003B\003\340A\002\032+\n\024CategoricalValueSpec\022\023\n\006valu"
+          + "es\030\001 \003(\tB\003\340A\002\032(\n\021DiscreteValueSpec\022\023\n\006va"
+          + "lues\030\001 \003(\001B\003\340A\002\032\244\005\n\030ConditionalParameter"
+          + "Spec\022\205\001\n\026parent_discrete_values\030\002 \001(\0132c."
+          + "google.cloud.aiplatform.v1.StudySpec.Par"
+          + "ameterSpec.ConditionalParameterSpec.Disc"
+          + "reteValueConditionH\000\022{\n\021parent_int_value"
+          + "s\030\003 \001(\0132^.google.cloud.aiplatform.v1.Stu"
+          + "dySpec.ParameterSpec.ConditionalParamete"
+          + "rSpec.IntValueConditionH\000\022\213\001\n\031parent_cat"
+          + "egorical_values\030\004 \001(\0132f.google.cloud.aip"
+          + "latform.v1.StudySpec.ParameterSpec.Condi"
+          + "tionalParameterSpec.CategoricalValueCond"
+          + "itionH\000\022P\n\016parameter_spec\030\001 \001(\01323.google"
+          + ".cloud.aiplatform.v1.StudySpec.Parameter"
+          + "SpecB\003\340A\002\032-\n\026DiscreteValueCondition\022\023\n\006v"
+          + "alues\030\001 \003(\001B\003\340A\002\032(\n\021IntValueCondition\022\023\n"
+          + "\006values\030\001 \003(\003B\003\340A\002\0320\n\031CategoricalValueCo"
+          + "ndition\022\023\n\006values\030\001 \003(\tB\003\340A\002B\030\n\026parent_v"
+          + "alue_condition\"n\n\tScaleType\022\032\n\026SCALE_TYP"
+          + "E_UNSPECIFIED\020\000\022\025\n\021UNIT_LINEAR_SCALE\020\001\022\022"
+          + "\n\016UNIT_LOG_SCALE\020\002\022\032\n\026UNIT_REVERSE_LOG_S"
+          + "CALE\020\003B\026\n\024parameter_value_spec\"J\n\tAlgori"
+          + "thm\022\031\n\025ALGORITHM_UNSPECIFIED\020\000\022\017\n\013GRID_S"
+          + "EARCH\020\002\022\021\n\rRANDOM_SEARCH\020\003\"H\n\020Observatio"
+          + "nNoise\022!\n\035OBSERVATION_NOISE_UNSPECIFIED\020"
+          + "\000\022\007\n\003LOW\020\001\022\010\n\004HIGH\020\002\"r\n\030MeasurementSelec"
+          + "tionType\022*\n&MEASUREMENT_SELECTION_TYPE_U"
+          + "NSPECIFIED\020\000\022\024\n\020LAST_MEASUREMENT\020\001\022\024\n\020BE"
+          + "ST_MEASUREMENT\020\002\"\242\001\n\013Measurement\022\027\n\nstep"
+          + "_count\030\002 \001(\003B\003\340A\003\022D\n\007metrics\030\003 \003(\0132..goo"
+          + "gle.cloud.aiplatform.v1.Measurement.Metr"
+          + "icB\003\340A\003\0324\n\006Metric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A"
+          + "\003\022\022\n\005value\030\002 \001(\001B\003\340A\003Bt\n\036com.google.clou"
+          + "d.aiplatform.v1B\nStudyProtoP\001ZDgoogle.go"
+          + "lang.org/genproto/googleapis/cloud/aipla"
+          + "tform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.protobuf.DurationProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.protobuf.WrappersProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_Trial_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Trial_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Trial_descriptor,
+            new java.lang.String[] {
+              "Id", "State", "Parameters", "FinalMeasurement", "StartTime", "EndTime", "CustomJob",
+            });
+    internal_static_google_cloud_aiplatform_v1_Trial_Parameter_descriptor =
+        internal_static_google_cloud_aiplatform_v1_Trial_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Trial_Parameter_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Trial_Parameter_descriptor,
+            new java.lang.String[] {
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+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_descriptor,
+            new java.lang.String[] {
+              "Metrics", "Parameters", "Algorithm", "ObservationNoise", "MeasurementSelectionType",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_descriptor,
+            new java.lang.String[] {
+              "MetricId", "Goal",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_descriptor.getNestedTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor,
+            new java.lang.String[] {
+              "DoubleValueSpec",
+              "IntegerValueSpec",
+              "CategoricalValueSpec",
+              "DiscreteValueSpec",
+              "ParameterId",
+              "ScaleType",
+              "ConditionalParameterSpecs",
+              "ParameterValueSpec",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_descriptor,
+            new java.lang.String[] {
+              "MinValue", "MaxValue",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_descriptor,
+            new java.lang.String[] {
+              "MinValue", "MaxValue",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor
+            .getNestedTypes()
+            .get(2);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_descriptor,
+            new java.lang.String[] {
+              "Values",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor
+            .getNestedTypes()
+            .get(3);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_descriptor,
+            new java.lang.String[] {
+              "Values",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor
+            .getNestedTypes()
+            .get(4);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor,
+            new java.lang.String[] {
+              "ParentDiscreteValues",
+              "ParentIntValues",
+              "ParentCategoricalValues",
+              "ParameterSpec",
+              "ParentValueCondition",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_descriptor,
+            new java.lang.String[] {
+              "Values",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_descriptor,
+            new java.lang.String[] {
+              "Values",
+            });
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition_descriptor =
+        internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor
+            .getNestedTypes()
+            .get(2);
+    internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition_descriptor,
+            new java.lang.String[] {
+              "Values",
+            });
+    internal_static_google_cloud_aiplatform_v1_Measurement_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_Measurement_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Measurement_descriptor,
+            new java.lang.String[] {
+              "StepCount", "Metrics",
+            });
+    internal_static_google_cloud_aiplatform_v1_Measurement_Metric_descriptor =
+        internal_static_google_cloud_aiplatform_v1_Measurement_descriptor.getNestedTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_Measurement_Metric_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_Measurement_Metric_descriptor,
+            new java.lang.String[] {
+              "MetricId", "Value",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    registry.add(com.google.api.ResourceProto.resourceReference);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.protobuf.DurationProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.protobuf.WrappersProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpec.java
new file mode 100644
index 000000000..d345f9743
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpec.java
@@ -0,0 +1,14913 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/study.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents specification of a Study.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec}
+ */
+public final class StudySpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec)
+    StudySpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use StudySpec.newBuilder() to construct.
+  private StudySpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private StudySpec() {
+    metrics_ = java.util.Collections.emptyList();
+    parameters_ = java.util.Collections.emptyList();
+    algorithm_ = 0;
+    observationNoise_ = 0;
+    measurementSelectionType_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new StudySpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private StudySpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                metrics_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.StudySpec.MetricSpec>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              metrics_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                parameters_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec>();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              parameters_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 24:
+            {
+              int rawValue = input.readEnum();
+
+              algorithm_ = rawValue;
+              break;
+            }
+          case 48:
+            {
+              int rawValue = input.readEnum();
+
+              observationNoise_ = rawValue;
+              break;
+            }
+          case 56:
+            {
+              int rawValue = input.readEnum();
+
+              measurementSelectionType_ = rawValue;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        metrics_ = java.util.Collections.unmodifiableList(metrics_);
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        parameters_ = java.util.Collections.unmodifiableList(parameters_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.StudyProto
+        .internal_static_google_cloud_aiplatform_v1_StudySpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.StudyProto
+        .internal_static_google_cloud_aiplatform_v1_StudySpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.StudySpec.class,
+            com.google.cloud.aiplatform.v1.StudySpec.Builder.class);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * The available search algorithms for the Study.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1.StudySpec.Algorithm}
+   */
+  public enum Algorithm implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * The default algorithm used by AI Platform Optimization service.
+     * </pre>
+     *
+     * <code>ALGORITHM_UNSPECIFIED = 0;</code>
+     */
+    ALGORITHM_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * Simple grid search within the feasible space. To use grid search,
+     * all parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
+     * </pre>
+     *
+     * <code>GRID_SEARCH = 2;</code>
+     */
+    GRID_SEARCH(2),
+    /**
+     *
+     *
+     * <pre>
+     * Simple random search within the feasible space.
+     * </pre>
+     *
+     * <code>RANDOM_SEARCH = 3;</code>
+     */
+    RANDOM_SEARCH(3),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * The default algorithm used by AI Platform Optimization service.
+     * </pre>
+     *
+     * <code>ALGORITHM_UNSPECIFIED = 0;</code>
+     */
+    public static final int ALGORITHM_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Simple grid search within the feasible space. To use grid search,
+     * all parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
+     * </pre>
+     *
+     * <code>GRID_SEARCH = 2;</code>
+     */
+    public static final int GRID_SEARCH_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * Simple random search within the feasible space.
+     * </pre>
+     *
+     * <code>RANDOM_SEARCH = 3;</code>
+     */
+    public static final int RANDOM_SEARCH_VALUE = 3;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static Algorithm valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static Algorithm forNumber(int value) {
+      switch (value) {
+        case 0:
+          return ALGORITHM_UNSPECIFIED;
+        case 2:
+          return GRID_SEARCH;
+        case 3:
+          return RANDOM_SEARCH;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<Algorithm> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<Algorithm> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<Algorithm>() {
+          public Algorithm findValueByNumber(int number) {
+            return Algorithm.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudySpec.getDescriptor().getEnumTypes().get(0);
+    }
+
+    private static final Algorithm[] VALUES = values();
+
+    public static Algorithm valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private Algorithm(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.StudySpec.Algorithm)
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * Describes the noise level of the repeated observations.
+   * "Noisy" means that the repeated observations with the same Trial parameters
+   * may lead to different metric evaluations.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1.StudySpec.ObservationNoise}
+   */
+  public enum ObservationNoise implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * The default noise level chosen by the AI Platform service.
+     * </pre>
+     *
+     * <code>OBSERVATION_NOISE_UNSPECIFIED = 0;</code>
+     */
+    OBSERVATION_NOISE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier assumes that the objective function is (nearly)
+     * perfectly reproducible, and will never repeat the same Trial
+     * parameters.
+     * </pre>
+     *
+     * <code>LOW = 1;</code>
+     */
+    LOW(1),
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier will estimate the amount of noise in metric
+     * evaluations, it may repeat the same Trial parameters more than once.
+     * </pre>
+     *
+     * <code>HIGH = 2;</code>
+     */
+    HIGH(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * The default noise level chosen by the AI Platform service.
+     * </pre>
+     *
+     * <code>OBSERVATION_NOISE_UNSPECIFIED = 0;</code>
+     */
+    public static final int OBSERVATION_NOISE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier assumes that the objective function is (nearly)
+     * perfectly reproducible, and will never repeat the same Trial
+     * parameters.
+     * </pre>
+     *
+     * <code>LOW = 1;</code>
+     */
+    public static final int LOW_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier will estimate the amount of noise in metric
+     * evaluations, it may repeat the same Trial parameters more than once.
+     * </pre>
+     *
+     * <code>HIGH = 2;</code>
+     */
+    public static final int HIGH_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ObservationNoise valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ObservationNoise forNumber(int value) {
+      switch (value) {
+        case 0:
+          return OBSERVATION_NOISE_UNSPECIFIED;
+        case 1:
+          return LOW;
+        case 2:
+          return HIGH;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ObservationNoise> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ObservationNoise>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<ObservationNoise>() {
+              public ObservationNoise findValueByNumber(int number) {
+                return ObservationNoise.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudySpec.getDescriptor().getEnumTypes().get(1);
+    }
+
+    private static final ObservationNoise[] VALUES = values();
+
+    public static ObservationNoise valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ObservationNoise(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.StudySpec.ObservationNoise)
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * This indicates which measurement to use if/when the service automatically
+   * selects the final measurement from previously reported intermediate
+   * measurements. Choose this based on two considerations:
+   *  A) Do you expect your measurements to monotonically improve?
+   *     If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
+   *     situation where your system can "over-train" and you expect the
+   *     performance to get better for a while but then start declining,
+   *     choose BEST_MEASUREMENT.
+   *  B) Are your measurements significantly noisy and/or irreproducible?
+   *     If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
+   *     may be better to choose LAST_MEASUREMENT.
+   *  If both or neither of (A) and (B) apply, it doesn't matter which
+   *  selection type is chosen.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType}
+   */
+  public enum MeasurementSelectionType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Will be treated as LAST_MEASUREMENT.
+     * </pre>
+     *
+     * <code>MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MEASUREMENT_SELECTION_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * Use the last measurement reported.
+     * </pre>
+     *
+     * <code>LAST_MEASUREMENT = 1;</code>
+     */
+    LAST_MEASUREMENT(1),
+    /**
+     *
+     *
+     * <pre>
+     * Use the best measurement reported.
+     * </pre>
+     *
+     * <code>BEST_MEASUREMENT = 2;</code>
+     */
+    BEST_MEASUREMENT(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Will be treated as LAST_MEASUREMENT.
+     * </pre>
+     *
+     * <code>MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MEASUREMENT_SELECTION_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Use the last measurement reported.
+     * </pre>
+     *
+     * <code>LAST_MEASUREMENT = 1;</code>
+     */
+    public static final int LAST_MEASUREMENT_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Use the best measurement reported.
+     * </pre>
+     *
+     * <code>BEST_MEASUREMENT = 2;</code>
+     */
+    public static final int BEST_MEASUREMENT_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static MeasurementSelectionType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static MeasurementSelectionType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MEASUREMENT_SELECTION_TYPE_UNSPECIFIED;
+        case 1:
+          return LAST_MEASUREMENT;
+        case 2:
+          return BEST_MEASUREMENT;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>
+        internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>() {
+              public MeasurementSelectionType findValueByNumber(int number) {
+                return MeasurementSelectionType.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudySpec.getDescriptor().getEnumTypes().get(2);
+    }
+
+    private static final MeasurementSelectionType[] VALUES = values();
+
+    public static MeasurementSelectionType valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private MeasurementSelectionType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType)
+  }
+
+  public interface MetricSpecOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.MetricSpec)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the metric. Must not contain whitespaces and must be unique
+     * amongst all MetricSpecs.
+     * </pre>
+     *
+     * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The metricId.
+     */
+    java.lang.String getMetricId();
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the metric. Must not contain whitespaces and must be unique
+     * amongst all MetricSpecs.
+     * </pre>
+     *
+     * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for metricId.
+     */
+    com.google.protobuf.ByteString getMetricIdBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The optimization goal of the metric.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for goal.
+     */
+    int getGoalValue();
+    /**
+     *
+     *
+     * <pre>
+     * Required. The optimization goal of the metric.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The goal.
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType getGoal();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a metric to optimize.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.MetricSpec}
+   */
+  public static final class MetricSpec extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.MetricSpec)
+      MetricSpecOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use MetricSpec.newBuilder() to construct.
+    private MetricSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private MetricSpec() {
+      metricId_ = "";
+      goal_ = 0;
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new MetricSpec();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private MetricSpec(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                metricId_ = s;
+                break;
+              }
+            case 16:
+              {
+                int rawValue = input.readEnum();
+
+                goal_ = rawValue;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.class,
+              com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder.class);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * The available types of optimization goals.
+     * </pre>
+     *
+     * Protobuf enum {@code google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType}
+     */
+    public enum GoalType implements com.google.protobuf.ProtocolMessageEnum {
+      /**
+       *
+       *
+       * <pre>
+       * Goal Type will default to maximize.
+       * </pre>
+       *
+       * <code>GOAL_TYPE_UNSPECIFIED = 0;</code>
+       */
+      GOAL_TYPE_UNSPECIFIED(0),
+      /**
+       *
+       *
+       * <pre>
+       * Maximize the goal metric.
+       * </pre>
+       *
+       * <code>MAXIMIZE = 1;</code>
+       */
+      MAXIMIZE(1),
+      /**
+       *
+       *
+       * <pre>
+       * Minimize the goal metric.
+       * </pre>
+       *
+       * <code>MINIMIZE = 2;</code>
+       */
+      MINIMIZE(2),
+      UNRECOGNIZED(-1),
+      ;
+
+      /**
+       *
+       *
+       * <pre>
+       * Goal Type will default to maximize.
+       * </pre>
+       *
+       * <code>GOAL_TYPE_UNSPECIFIED = 0;</code>
+       */
+      public static final int GOAL_TYPE_UNSPECIFIED_VALUE = 0;
+      /**
+       *
+       *
+       * <pre>
+       * Maximize the goal metric.
+       * </pre>
+       *
+       * <code>MAXIMIZE = 1;</code>
+       */
+      public static final int MAXIMIZE_VALUE = 1;
+      /**
+       *
+       *
+       * <pre>
+       * Minimize the goal metric.
+       * </pre>
+       *
+       * <code>MINIMIZE = 2;</code>
+       */
+      public static final int MINIMIZE_VALUE = 2;
+
+      public final int getNumber() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalArgumentException(
+              "Can't get the number of an unknown enum value.");
+        }
+        return value;
+      }
+
+      /**
+       * @param value The numeric wire value of the corresponding enum entry.
+       * @return The enum associated with the given numeric wire value.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static GoalType valueOf(int value) {
+        return forNumber(value);
+      }
+
+      /**
+       * @param value The numeric wire value of the corresponding enum entry.
+       * @return The enum associated with the given numeric wire value.
+       */
+      public static GoalType forNumber(int value) {
+        switch (value) {
+          case 0:
+            return GOAL_TYPE_UNSPECIFIED;
+          case 1:
+            return MAXIMIZE;
+          case 2:
+            return MINIMIZE;
+          default:
+            return null;
+        }
+      }
+
+      public static com.google.protobuf.Internal.EnumLiteMap<GoalType> internalGetValueMap() {
+        return internalValueMap;
+      }
+
+      private static final com.google.protobuf.Internal.EnumLiteMap<GoalType> internalValueMap =
+          new com.google.protobuf.Internal.EnumLiteMap<GoalType>() {
+            public GoalType findValueByNumber(int number) {
+              return GoalType.forNumber(number);
+            }
+          };
+
+      public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalStateException(
+              "Can't get the descriptor of an unrecognized enum value.");
+        }
+        return getDescriptor().getValues().get(ordinal());
+      }
+
+      public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+        return getDescriptor();
+      }
+
+      public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.getDescriptor()
+            .getEnumTypes()
+            .get(0);
+      }
+
+      private static final GoalType[] VALUES = values();
+
+      public static GoalType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+        if (desc.getType() != getDescriptor()) {
+          throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+        }
+        if (desc.getIndex() == -1) {
+          return UNRECOGNIZED;
+        }
+        return VALUES[desc.getIndex()];
+      }
+
+      private final int value;
+
+      private GoalType(int value) {
+        this.value = value;
+      }
+
+      // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType)
+    }
+
+    public static final int METRIC_ID_FIELD_NUMBER = 1;
+    private volatile java.lang.Object metricId_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the metric. Must not contain whitespaces and must be unique
+     * amongst all MetricSpecs.
+     * </pre>
+     *
+     * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The metricId.
+     */
+    @java.lang.Override
+    public java.lang.String getMetricId() {
+      java.lang.Object ref = metricId_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        metricId_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the metric. Must not contain whitespaces and must be unique
+     * amongst all MetricSpecs.
+     * </pre>
+     *
+     * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for metricId.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getMetricIdBytes() {
+      java.lang.Object ref = metricId_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        metricId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int GOAL_FIELD_NUMBER = 2;
+    private int goal_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The optimization goal of the metric.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for goal.
+     */
+    @java.lang.Override
+    public int getGoalValue() {
+      return goal_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The optimization goal of the metric.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The goal.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType getGoal() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType result =
+          com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType.valueOf(goal_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType.UNRECOGNIZED
+          : result;
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getMetricIdBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, metricId_);
+      }
+      if (goal_
+          != com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType.GOAL_TYPE_UNSPECIFIED
+              .getNumber()) {
+        output.writeEnum(2, goal_);
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getMetricIdBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, metricId_);
+      }
+      if (goal_
+          != com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType.GOAL_TYPE_UNSPECIFIED
+              .getNumber()) {
+        size += com.google.protobuf.CodedOutputStream.computeEnumSize(2, goal_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.StudySpec.MetricSpec)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.StudySpec.MetricSpec other =
+          (com.google.cloud.aiplatform.v1.StudySpec.MetricSpec) obj;
+
+      if (!getMetricId().equals(other.getMetricId())) return false;
+      if (goal_ != other.goal_) return false;
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + METRIC_ID_FIELD_NUMBER;
+      hash = (53 * hash) + getMetricId().hashCode();
+      hash = (37 * hash) + GOAL_FIELD_NUMBER;
+      hash = (53 * hash) + goal_;
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(byte[] data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.StudySpec.MetricSpec prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents a metric to optimize.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.MetricSpec}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.MetricSpec)
+        com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.class,
+                com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        metricId_ = "";
+
+        goal_ = 0;
+
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_MetricSpec_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec build() {
+        com.google.cloud.aiplatform.v1.StudySpec.MetricSpec result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec buildPartial() {
+        com.google.cloud.aiplatform.v1.StudySpec.MetricSpec result =
+            new com.google.cloud.aiplatform.v1.StudySpec.MetricSpec(this);
+        result.metricId_ = metricId_;
+        result.goal_ = goal_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.StudySpec.MetricSpec) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.StudySpec.MetricSpec) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(com.google.cloud.aiplatform.v1.StudySpec.MetricSpec other) {
+        if (other == com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.getDefaultInstance())
+          return this;
+        if (!other.getMetricId().isEmpty()) {
+          metricId_ = other.metricId_;
+          onChanged();
+        }
+        if (other.goal_ != 0) {
+          setGoalValue(other.getGoalValue());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.StudySpec.MetricSpec parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.StudySpec.MetricSpec) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object metricId_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the metric. Must not contain whitespaces and must be unique
+       * amongst all MetricSpecs.
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The metricId.
+       */
+      public java.lang.String getMetricId() {
+        java.lang.Object ref = metricId_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          metricId_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the metric. Must not contain whitespaces and must be unique
+       * amongst all MetricSpecs.
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The bytes for metricId.
+       */
+      public com.google.protobuf.ByteString getMetricIdBytes() {
+        java.lang.Object ref = metricId_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          metricId_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the metric. Must not contain whitespaces and must be unique
+       * amongst all MetricSpecs.
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The metricId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setMetricId(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        metricId_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the metric. Must not contain whitespaces and must be unique
+       * amongst all MetricSpecs.
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearMetricId() {
+
+        metricId_ = getDefaultInstance().getMetricId();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the metric. Must not contain whitespaces and must be unique
+       * amongst all MetricSpecs.
+       * </pre>
+       *
+       * <code>string metric_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The bytes for metricId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setMetricIdBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        metricId_ = value;
+        onChanged();
+        return this;
+      }
+
+      private int goal_ = 0;
+      /**
+       *
+       *
+       * <pre>
+       * Required. The optimization goal of the metric.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @return The enum numeric value on the wire for goal.
+       */
+      @java.lang.Override
+      public int getGoalValue() {
+        return goal_;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The optimization goal of the metric.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @param value The enum numeric value on the wire for goal to set.
+       * @return This builder for chaining.
+       */
+      public Builder setGoalValue(int value) {
+
+        goal_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The optimization goal of the metric.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @return The goal.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType getGoal() {
+        @SuppressWarnings("deprecation")
+        com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType result =
+            com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType.valueOf(goal_);
+        return result == null
+            ? com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType.UNRECOGNIZED
+            : result;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The optimization goal of the metric.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @param value The goal to set.
+       * @return This builder for chaining.
+       */
+      public Builder setGoal(com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        goal_ = value.getNumber();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The optimization goal of the metric.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.MetricSpec.GoalType goal = 2 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearGoal() {
+
+        goal_ = 0;
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.MetricSpec)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.MetricSpec)
+    private static final com.google.cloud.aiplatform.v1.StudySpec.MetricSpec DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.StudySpec.MetricSpec();
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.MetricSpec getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<MetricSpec> PARSER =
+        new com.google.protobuf.AbstractParser<MetricSpec>() {
+          @java.lang.Override
+          public MetricSpec parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new MetricSpec(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<MetricSpec> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<MetricSpec> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public interface ParameterSpecOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DOUBLE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+     * </code>
+     *
+     * @return Whether the doubleValueSpec field is set.
+     */
+    boolean hasDoubleValueSpec();
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DOUBLE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+     * </code>
+     *
+     * @return The doubleValueSpec.
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec getDoubleValueSpec();
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DOUBLE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpecOrBuilder
+        getDoubleValueSpecOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for an 'INTEGER' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+     * </code>
+     *
+     * @return Whether the integerValueSpec field is set.
+     */
+    boolean hasIntegerValueSpec();
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for an 'INTEGER' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+     * </code>
+     *
+     * @return The integerValueSpec.
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec getIntegerValueSpec();
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for an 'INTEGER' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpecOrBuilder
+        getIntegerValueSpecOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'CATEGORICAL' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+     * </code>
+     *
+     * @return Whether the categoricalValueSpec field is set.
+     */
+    boolean hasCategoricalValueSpec();
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'CATEGORICAL' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+     * </code>
+     *
+     * @return The categoricalValueSpec.
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+        getCategoricalValueSpec();
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'CATEGORICAL' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpecOrBuilder
+        getCategoricalValueSpecOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DISCRETE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+     * </code>
+     *
+     * @return Whether the discreteValueSpec field is set.
+     */
+    boolean hasDiscreteValueSpec();
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DISCRETE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+     * </code>
+     *
+     * @return The discreteValueSpec.
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec getDiscreteValueSpec();
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DISCRETE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpecOrBuilder
+        getDiscreteValueSpecOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+     * amongst all ParameterSpecs.
+     * </pre>
+     *
+     * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The parameterId.
+     */
+    java.lang.String getParameterId();
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+     * amongst all ParameterSpecs.
+     * </pre>
+     *
+     * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for parameterId.
+     */
+    com.google.protobuf.ByteString getParameterIdBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * How the parameter should be scaled.
+     * Leave unset for `CATEGORICAL` parameters.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+     *
+     * @return The enum numeric value on the wire for scaleType.
+     */
+    int getScaleTypeValue();
+    /**
+     *
+     *
+     * <pre>
+     * How the parameter should be scaled.
+     * Leave unset for `CATEGORICAL` parameters.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+     *
+     * @return The scaleType.
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType getScaleType();
+
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    java.util.List<com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec>
+        getConditionalParameterSpecsList();
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+        getConditionalParameterSpecs(int index);
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    int getConditionalParameterSpecsCount();
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                    .ConditionalParameterSpecOrBuilder>
+        getConditionalParameterSpecsOrBuilderList();
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpecOrBuilder
+        getConditionalParameterSpecsOrBuilder(int index);
+
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ParameterValueSpecCase
+        getParameterValueSpecCase();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a single parameter to optimize.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec}
+   */
+  public static final class ParameterSpec extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec)
+      ParameterSpecOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use ParameterSpec.newBuilder() to construct.
+    private ParameterSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private ParameterSpec() {
+      parameterId_ = "";
+      scaleType_ = 0;
+      conditionalParameterSpecs_ = java.util.Collections.emptyList();
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new ParameterSpec();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private ParameterSpec(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      int mutable_bitField0_ = 0;
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                parameterId_ = s;
+                break;
+              }
+            case 18:
+              {
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder
+                    subBuilder = null;
+                if (parameterValueSpecCase_ == 2) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                              parameterValueSpec_)
+                          .toBuilder();
+                }
+                parameterValueSpec_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+                            .parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                          parameterValueSpec_);
+                  parameterValueSpec_ = subBuilder.buildPartial();
+                }
+                parameterValueSpecCase_ = 2;
+                break;
+              }
+            case 26:
+              {
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder
+                    subBuilder = null;
+                if (parameterValueSpecCase_ == 3) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                              parameterValueSpec_)
+                          .toBuilder();
+                }
+                parameterValueSpec_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+                            .parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                          parameterValueSpec_);
+                  parameterValueSpec_ = subBuilder.buildPartial();
+                }
+                parameterValueSpecCase_ = 3;
+                break;
+              }
+            case 34:
+              {
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.Builder
+                    subBuilder = null;
+                if (parameterValueSpecCase_ == 4) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                              parameterValueSpec_)
+                          .toBuilder();
+                }
+                parameterValueSpec_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                            .parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                          parameterValueSpec_);
+                  parameterValueSpec_ = subBuilder.buildPartial();
+                }
+                parameterValueSpecCase_ = 4;
+                break;
+              }
+            case 42:
+              {
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder
+                    subBuilder = null;
+                if (parameterValueSpecCase_ == 5) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                              parameterValueSpec_)
+                          .toBuilder();
+                }
+                parameterValueSpec_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+                            .parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                          parameterValueSpec_);
+                  parameterValueSpec_ = subBuilder.buildPartial();
+                }
+                parameterValueSpecCase_ = 5;
+                break;
+              }
+            case 48:
+              {
+                int rawValue = input.readEnum();
+
+                scaleType_ = rawValue;
+                break;
+              }
+            case 82:
+              {
+                if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                  conditionalParameterSpecs_ =
+                      new java.util.ArrayList<
+                          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                              .ConditionalParameterSpec>();
+                  mutable_bitField0_ |= 0x00000001;
+                }
+                conditionalParameterSpecs_.add(
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                            .ConditionalParameterSpec.parser(),
+                        extensionRegistry));
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        if (((mutable_bitField0_ & 0x00000001) != 0)) {
+          conditionalParameterSpecs_ =
+              java.util.Collections.unmodifiableList(conditionalParameterSpecs_);
+        }
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.class,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder.class);
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * The type of scaling that should be applied to this parameter.
+     * </pre>
+     *
+     * Protobuf enum {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType}
+     */
+    public enum ScaleType implements com.google.protobuf.ProtocolMessageEnum {
+      /**
+       *
+       *
+       * <pre>
+       * By default, no scaling is applied.
+       * </pre>
+       *
+       * <code>SCALE_TYPE_UNSPECIFIED = 0;</code>
+       */
+      SCALE_TYPE_UNSPECIFIED(0),
+      /**
+       *
+       *
+       * <pre>
+       * Scales the feasible space to (0, 1) linearly.
+       * </pre>
+       *
+       * <code>UNIT_LINEAR_SCALE = 1;</code>
+       */
+      UNIT_LINEAR_SCALE(1),
+      /**
+       *
+       *
+       * <pre>
+       * Scales the feasible space logarithmically to (0, 1). The entire
+       * feasible space must be strictly positive.
+       * </pre>
+       *
+       * <code>UNIT_LOG_SCALE = 2;</code>
+       */
+      UNIT_LOG_SCALE(2),
+      /**
+       *
+       *
+       * <pre>
+       * Scales the feasible space "reverse" logarithmically to (0, 1). The
+       * result is that values close to the top of the feasible space are spread
+       * out more than points near the bottom. The entire feasible space must be
+       * strictly positive.
+       * </pre>
+       *
+       * <code>UNIT_REVERSE_LOG_SCALE = 3;</code>
+       */
+      UNIT_REVERSE_LOG_SCALE(3),
+      UNRECOGNIZED(-1),
+      ;
+
+      /**
+       *
+       *
+       * <pre>
+       * By default, no scaling is applied.
+       * </pre>
+       *
+       * <code>SCALE_TYPE_UNSPECIFIED = 0;</code>
+       */
+      public static final int SCALE_TYPE_UNSPECIFIED_VALUE = 0;
+      /**
+       *
+       *
+       * <pre>
+       * Scales the feasible space to (0, 1) linearly.
+       * </pre>
+       *
+       * <code>UNIT_LINEAR_SCALE = 1;</code>
+       */
+      public static final int UNIT_LINEAR_SCALE_VALUE = 1;
+      /**
+       *
+       *
+       * <pre>
+       * Scales the feasible space logarithmically to (0, 1). The entire
+       * feasible space must be strictly positive.
+       * </pre>
+       *
+       * <code>UNIT_LOG_SCALE = 2;</code>
+       */
+      public static final int UNIT_LOG_SCALE_VALUE = 2;
+      /**
+       *
+       *
+       * <pre>
+       * Scales the feasible space "reverse" logarithmically to (0, 1). The
+       * result is that values close to the top of the feasible space are spread
+       * out more than points near the bottom. The entire feasible space must be
+       * strictly positive.
+       * </pre>
+       *
+       * <code>UNIT_REVERSE_LOG_SCALE = 3;</code>
+       */
+      public static final int UNIT_REVERSE_LOG_SCALE_VALUE = 3;
+
+      public final int getNumber() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalArgumentException(
+              "Can't get the number of an unknown enum value.");
+        }
+        return value;
+      }
+
+      /**
+       * @param value The numeric wire value of the corresponding enum entry.
+       * @return The enum associated with the given numeric wire value.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static ScaleType valueOf(int value) {
+        return forNumber(value);
+      }
+
+      /**
+       * @param value The numeric wire value of the corresponding enum entry.
+       * @return The enum associated with the given numeric wire value.
+       */
+      public static ScaleType forNumber(int value) {
+        switch (value) {
+          case 0:
+            return SCALE_TYPE_UNSPECIFIED;
+          case 1:
+            return UNIT_LINEAR_SCALE;
+          case 2:
+            return UNIT_LOG_SCALE;
+          case 3:
+            return UNIT_REVERSE_LOG_SCALE;
+          default:
+            return null;
+        }
+      }
+
+      public static com.google.protobuf.Internal.EnumLiteMap<ScaleType> internalGetValueMap() {
+        return internalValueMap;
+      }
+
+      private static final com.google.protobuf.Internal.EnumLiteMap<ScaleType> internalValueMap =
+          new com.google.protobuf.Internal.EnumLiteMap<ScaleType>() {
+            public ScaleType findValueByNumber(int number) {
+              return ScaleType.forNumber(number);
+            }
+          };
+
+      public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+        if (this == UNRECOGNIZED) {
+          throw new java.lang.IllegalStateException(
+              "Can't get the descriptor of an unrecognized enum value.");
+        }
+        return getDescriptor().getValues().get(ordinal());
+      }
+
+      public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+        return getDescriptor();
+      }
+
+      public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.getDescriptor()
+            .getEnumTypes()
+            .get(0);
+      }
+
+      private static final ScaleType[] VALUES = values();
+
+      public static ScaleType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+        if (desc.getType() != getDescriptor()) {
+          throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+        }
+        if (desc.getIndex() == -1) {
+          return UNRECOGNIZED;
+        }
+        return VALUES[desc.getIndex()];
+      }
+
+      private final int value;
+
+      private ScaleType(int value) {
+        this.value = value;
+      }
+
+      // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType)
+    }
+
+    public interface DoubleValueSpecOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       *
+       *
+       * <pre>
+       * Required. Inclusive minimum value of the parameter.
+       * </pre>
+       *
+       * <code>double min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The minValue.
+       */
+      double getMinValue();
+
+      /**
+       *
+       *
+       * <pre>
+       * Required. Inclusive maximum value of the parameter.
+       * </pre>
+       *
+       * <code>double max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The maxValue.
+       */
+      double getMaxValue();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Value specification for a parameter in `DOUBLE` type.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec}
+     */
+    public static final class DoubleValueSpec extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+        DoubleValueSpecOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use DoubleValueSpec.newBuilder() to construct.
+      private DoubleValueSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private DoubleValueSpec() {}
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new DoubleValueSpec();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private DoubleValueSpec(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 9:
+                {
+                  minValue_ = input.readDouble();
+                  break;
+                }
+              case 17:
+                {
+                  maxValue_ = input.readDouble();
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.class,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder
+                    .class);
+      }
+
+      public static final int MIN_VALUE_FIELD_NUMBER = 1;
+      private double minValue_;
+      /**
+       *
+       *
+       * <pre>
+       * Required. Inclusive minimum value of the parameter.
+       * </pre>
+       *
+       * <code>double min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The minValue.
+       */
+      @java.lang.Override
+      public double getMinValue() {
+        return minValue_;
+      }
+
+      public static final int MAX_VALUE_FIELD_NUMBER = 2;
+      private double maxValue_;
+      /**
+       *
+       *
+       * <pre>
+       * Required. Inclusive maximum value of the parameter.
+       * </pre>
+       *
+       * <code>double max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The maxValue.
+       */
+      @java.lang.Override
+      public double getMaxValue() {
+        return maxValue_;
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (minValue_ != 0D) {
+          output.writeDouble(1, minValue_);
+        }
+        if (maxValue_ != 0D) {
+          output.writeDouble(2, maxValue_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (minValue_ != 0D) {
+          size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, minValue_);
+        }
+        if (maxValue_ != 0D) {
+          size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, maxValue_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec other =
+            (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec) obj;
+
+        if (java.lang.Double.doubleToLongBits(getMinValue())
+            != java.lang.Double.doubleToLongBits(other.getMinValue())) return false;
+        if (java.lang.Double.doubleToLongBits(getMaxValue())
+            != java.lang.Double.doubleToLongBits(other.getMaxValue())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + MIN_VALUE_FIELD_NUMBER;
+        hash =
+            (53 * hash)
+                + com.google.protobuf.Internal.hashLong(
+                    java.lang.Double.doubleToLongBits(getMinValue()));
+        hash = (37 * hash) + MAX_VALUE_FIELD_NUMBER;
+        hash =
+            (53 * hash)
+                + com.google.protobuf.Internal.hashLong(
+                    java.lang.Double.doubleToLongBits(getMaxValue()));
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Value specification for a parameter in `DOUBLE` type.
+       * </pre>
+       *
+       * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpecOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.class,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder
+                      .class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          minValue_ = 0D;
+
+          maxValue_ = 0D;
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DoubleValueSpec_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+              .getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec build() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec result =
+              buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec result =
+              new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec(this);
+          result.minValue_ = minValue_;
+          result.maxValue_ = maxValue_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec) other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+                  .getDefaultInstance()) return this;
+          if (other.getMinValue() != 0D) {
+            setMinValue(other.getMinValue());
+          }
+          if (other.getMaxValue() != 0D) {
+            setMaxValue(other.getMaxValue());
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec parsedMessage =
+              null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private double minValue_;
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive minimum value of the parameter.
+         * </pre>
+         *
+         * <code>double min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The minValue.
+         */
+        @java.lang.Override
+        public double getMinValue() {
+          return minValue_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive minimum value of the parameter.
+         * </pre>
+         *
+         * <code>double min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param value The minValue to set.
+         * @return This builder for chaining.
+         */
+        public Builder setMinValue(double value) {
+
+          minValue_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive minimum value of the parameter.
+         * </pre>
+         *
+         * <code>double min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearMinValue() {
+
+          minValue_ = 0D;
+          onChanged();
+          return this;
+        }
+
+        private double maxValue_;
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive maximum value of the parameter.
+         * </pre>
+         *
+         * <code>double max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The maxValue.
+         */
+        @java.lang.Override
+        public double getMaxValue() {
+          return maxValue_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive maximum value of the parameter.
+         * </pre>
+         *
+         * <code>double max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param value The maxValue to set.
+         * @return This builder for chaining.
+         */
+        public Builder setMaxValue(double value) {
+
+          maxValue_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive maximum value of the parameter.
+         * </pre>
+         *
+         * <code>double max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearMaxValue() {
+
+          maxValue_ = 0D;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+      private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec();
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<DoubleValueSpec> PARSER =
+          new com.google.protobuf.AbstractParser<DoubleValueSpec>() {
+            @java.lang.Override
+            public DoubleValueSpec parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new DoubleValueSpec(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<DoubleValueSpec> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<DoubleValueSpec> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface IntegerValueSpecOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       *
+       *
+       * <pre>
+       * Required. Inclusive minimum value of the parameter.
+       * </pre>
+       *
+       * <code>int64 min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The minValue.
+       */
+      long getMinValue();
+
+      /**
+       *
+       *
+       * <pre>
+       * Required. Inclusive maximum value of the parameter.
+       * </pre>
+       *
+       * <code>int64 max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The maxValue.
+       */
+      long getMaxValue();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Value specification for a parameter in `INTEGER` type.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec}
+     */
+    public static final class IntegerValueSpec extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+        IntegerValueSpecOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use IntegerValueSpec.newBuilder() to construct.
+      private IntegerValueSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private IntegerValueSpec() {}
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new IntegerValueSpec();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private IntegerValueSpec(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 8:
+                {
+                  minValue_ = input.readInt64();
+                  break;
+                }
+              case 16:
+                {
+                  maxValue_ = input.readInt64();
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.class,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder
+                    .class);
+      }
+
+      public static final int MIN_VALUE_FIELD_NUMBER = 1;
+      private long minValue_;
+      /**
+       *
+       *
+       * <pre>
+       * Required. Inclusive minimum value of the parameter.
+       * </pre>
+       *
+       * <code>int64 min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The minValue.
+       */
+      @java.lang.Override
+      public long getMinValue() {
+        return minValue_;
+      }
+
+      public static final int MAX_VALUE_FIELD_NUMBER = 2;
+      private long maxValue_;
+      /**
+       *
+       *
+       * <pre>
+       * Required. Inclusive maximum value of the parameter.
+       * </pre>
+       *
+       * <code>int64 max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The maxValue.
+       */
+      @java.lang.Override
+      public long getMaxValue() {
+        return maxValue_;
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (minValue_ != 0L) {
+          output.writeInt64(1, minValue_);
+        }
+        if (maxValue_ != 0L) {
+          output.writeInt64(2, maxValue_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (minValue_ != 0L) {
+          size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, minValue_);
+        }
+        if (maxValue_ != 0L) {
+          size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, maxValue_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec other =
+            (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec) obj;
+
+        if (getMinValue() != other.getMinValue()) return false;
+        if (getMaxValue() != other.getMaxValue()) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + MIN_VALUE_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getMinValue());
+        hash = (37 * hash) + MAX_VALUE_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getMaxValue());
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Value specification for a parameter in `INTEGER` type.
+       * </pre>
+       *
+       * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpecOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.class,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder
+                      .class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          minValue_ = 0L;
+
+          maxValue_ = 0L;
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_IntegerValueSpec_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+              .getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec build() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec result =
+              buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec result =
+              new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec(this);
+          result.minValue_ = minValue_;
+          result.maxValue_ = maxValue_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec) other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+                  .getDefaultInstance()) return this;
+          if (other.getMinValue() != 0L) {
+            setMinValue(other.getMinValue());
+          }
+          if (other.getMaxValue() != 0L) {
+            setMaxValue(other.getMaxValue());
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec parsedMessage =
+              null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private long minValue_;
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive minimum value of the parameter.
+         * </pre>
+         *
+         * <code>int64 min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The minValue.
+         */
+        @java.lang.Override
+        public long getMinValue() {
+          return minValue_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive minimum value of the parameter.
+         * </pre>
+         *
+         * <code>int64 min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param value The minValue to set.
+         * @return This builder for chaining.
+         */
+        public Builder setMinValue(long value) {
+
+          minValue_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive minimum value of the parameter.
+         * </pre>
+         *
+         * <code>int64 min_value = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearMinValue() {
+
+          minValue_ = 0L;
+          onChanged();
+          return this;
+        }
+
+        private long maxValue_;
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive maximum value of the parameter.
+         * </pre>
+         *
+         * <code>int64 max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The maxValue.
+         */
+        @java.lang.Override
+        public long getMaxValue() {
+          return maxValue_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive maximum value of the parameter.
+         * </pre>
+         *
+         * <code>int64 max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param value The maxValue to set.
+         * @return This builder for chaining.
+         */
+        public Builder setMaxValue(long value) {
+
+          maxValue_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Inclusive maximum value of the parameter.
+         * </pre>
+         *
+         * <code>int64 max_value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearMaxValue() {
+
+          maxValue_ = 0L;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+      private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec();
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<IntegerValueSpec> PARSER =
+          new com.google.protobuf.AbstractParser<IntegerValueSpec>() {
+            @java.lang.Override
+            public IntegerValueSpec parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new IntegerValueSpec(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<IntegerValueSpec> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<IntegerValueSpec> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface CategoricalValueSpecOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       *
+       *
+       * <pre>
+       * Required. The list of possible categories.
+       * </pre>
+       *
+       * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return A list containing the values.
+       */
+      java.util.List<java.lang.String> getValuesList();
+      /**
+       *
+       *
+       * <pre>
+       * Required. The list of possible categories.
+       * </pre>
+       *
+       * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The count of values.
+       */
+      int getValuesCount();
+      /**
+       *
+       *
+       * <pre>
+       * Required. The list of possible categories.
+       * </pre>
+       *
+       * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param index The index of the element to return.
+       * @return The values at the given index.
+       */
+      java.lang.String getValues(int index);
+      /**
+       *
+       *
+       * <pre>
+       * Required. The list of possible categories.
+       * </pre>
+       *
+       * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param index The index of the value to return.
+       * @return The bytes of the values at the given index.
+       */
+      com.google.protobuf.ByteString getValuesBytes(int index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Value specification for a parameter in `CATEGORICAL` type.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec}
+     */
+    public static final class CategoricalValueSpec extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+        CategoricalValueSpecOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use CategoricalValueSpec.newBuilder() to construct.
+      private CategoricalValueSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private CategoricalValueSpec() {
+        values_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new CategoricalValueSpec();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private CategoricalValueSpec(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        int mutable_bitField0_ = 0;
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+                  if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                    values_ = new com.google.protobuf.LazyStringArrayList();
+                    mutable_bitField0_ |= 0x00000001;
+                  }
+                  values_.add(s);
+                  break;
+                }
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+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          if (((mutable_bitField0_ & 0x00000001) != 0)) {
+            values_ = values_.getUnmodifiableView();
+          }
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.class,
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+                    .class);
+      }
+
+      public static final int VALUES_FIELD_NUMBER = 1;
+      private com.google.protobuf.LazyStringList values_;
+      /**
+       *
+       *
+       * <pre>
+       * Required. The list of possible categories.
+       * </pre>
+       *
+       * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return A list containing the values.
+       */
+      public com.google.protobuf.ProtocolStringList getValuesList() {
+        return values_;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The list of possible categories.
+       * </pre>
+       *
+       * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The count of values.
+       */
+      public int getValuesCount() {
+        return values_.size();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The list of possible categories.
+       * </pre>
+       *
+       * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param index The index of the element to return.
+       * @return The values at the given index.
+       */
+      public java.lang.String getValues(int index) {
+        return values_.get(index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The list of possible categories.
+       * </pre>
+       *
+       * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param index The index of the value to return.
+       * @return The bytes of the values at the given index.
+       */
+      public com.google.protobuf.ByteString getValuesBytes(int index) {
+        return values_.getByteString(index);
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        for (int i = 0; i < values_.size(); i++) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, values_.getRaw(i));
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        {
+          int dataSize = 0;
+          for (int i = 0; i < values_.size(); i++) {
+            dataSize += computeStringSizeNoTag(values_.getRaw(i));
+          }
+          size += dataSize;
+          size += 1 * getValuesList().size();
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec other =
+            (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec) obj;
+
+        if (!getValuesList().equals(other.getValuesList())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        if (getValuesCount() > 0) {
+          hash = (37 * hash) + VALUES_FIELD_NUMBER;
+          hash = (53 * hash) + getValuesList().hashCode();
+        }
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Value specification for a parameter in `CATEGORICAL` type.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpecOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
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+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.class,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                      .Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
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+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          values_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+          bitField0_ = (bitField0_ & ~0x00000001);
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_CategoricalValueSpec_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+              .getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec build() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec result =
+              buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec result =
+              new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec(this);
+          int from_bitField0_ = bitField0_;
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+            bitField0_ = (bitField0_ & ~0x00000001);
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+          result.values_ = values_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
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+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
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+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                  .getDefaultInstance()) return this;
+          if (!other.values_.isEmpty()) {
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+              bitField0_ = (bitField0_ & ~0x00000001);
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+            onChanged();
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private int bitField0_;
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+            bitField0_ |= 0x00000001;
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+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return A list containing the values.
+         */
+        public com.google.protobuf.ProtocolStringList getValuesList() {
+          return values_.getUnmodifiableView();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The count of values.
+         */
+        public int getValuesCount() {
+          return values_.size();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the element to return.
+         * @return The values at the given index.
+         */
+        public java.lang.String getValues(int index) {
+          return values_.get(index);
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the value to return.
+         * @return The bytes of the values at the given index.
+         */
+        public com.google.protobuf.ByteString getValuesBytes(int index) {
+          return values_.getByteString(index);
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index to set the value at.
+         * @param value The values to set.
+         * @return This builder for chaining.
+         */
+        public Builder setValues(int index, java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureValuesIsMutable();
+          values_.set(index, value);
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param value The values to add.
+         * @return This builder for chaining.
+         */
+        public Builder addValues(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureValuesIsMutable();
+          values_.add(value);
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param values The values to add.
+         * @return This builder for chaining.
+         */
+        public Builder addAllValues(java.lang.Iterable<java.lang.String> values) {
+          ensureValuesIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(values, values_);
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearValues() {
+          values_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The list of possible categories.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param value The bytes of the values to add.
+         * @return This builder for chaining.
+         */
+        public Builder addValuesBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+          ensureValuesIsMutable();
+          values_.add(value);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+      private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+              .CategoricalValueSpec
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec();
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<CategoricalValueSpec> PARSER =
+          new com.google.protobuf.AbstractParser<CategoricalValueSpec>() {
+            @java.lang.Override
+            public CategoricalValueSpec parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new CategoricalValueSpec(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<CategoricalValueSpec> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<CategoricalValueSpec> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface DiscreteValueSpecOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       *
+       *
+       * <pre>
+       * Required. A list of possible values.
+       * The list should be in increasing order and at least 1e-10 apart.
+       * For instance, this parameter might have possible settings of 1.5, 2.5,
+       * and 4.0. This list should not contain more than 1,000 values.
+       * </pre>
+       *
+       * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return A list containing the values.
+       */
+      java.util.List<java.lang.Double> getValuesList();
+      /**
+       *
+       *
+       * <pre>
+       * Required. A list of possible values.
+       * The list should be in increasing order and at least 1e-10 apart.
+       * For instance, this parameter might have possible settings of 1.5, 2.5,
+       * and 4.0. This list should not contain more than 1,000 values.
+       * </pre>
+       *
+       * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The count of values.
+       */
+      int getValuesCount();
+      /**
+       *
+       *
+       * <pre>
+       * Required. A list of possible values.
+       * The list should be in increasing order and at least 1e-10 apart.
+       * For instance, this parameter might have possible settings of 1.5, 2.5,
+       * and 4.0. This list should not contain more than 1,000 values.
+       * </pre>
+       *
+       * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param index The index of the element to return.
+       * @return The values at the given index.
+       */
+      double getValues(int index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Value specification for a parameter in `DISCRETE` type.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec}
+     */
+    public static final class DiscreteValueSpec extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+        DiscreteValueSpecOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use DiscreteValueSpec.newBuilder() to construct.
+      private DiscreteValueSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private DiscreteValueSpec() {
+        values_ = emptyDoubleList();
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new DiscreteValueSpec();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private DiscreteValueSpec(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        int mutable_bitField0_ = 0;
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
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+          while (!done) {
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+            switch (tag) {
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+                break;
+              case 9:
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+                    values_ = newDoubleList();
+                    mutable_bitField0_ |= 0x00000001;
+                  }
+                  values_.addDouble(input.readDouble());
+                  break;
+                }
+              case 10:
+                {
+                  int length = input.readRawVarint32();
+                  int limit = input.pushLimit(length);
+                  if (!((mutable_bitField0_ & 0x00000001) != 0) && input.getBytesUntilLimit() > 0) {
+                    values_ = newDoubleList();
+                    mutable_bitField0_ |= 0x00000001;
+                  }
+                  while (input.getBytesUntilLimit() > 0) {
+                    values_.addDouble(input.readDouble());
+                  }
+                  input.popLimit(limit);
+                  break;
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+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
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+                  break;
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+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
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+            values_.makeImmutable(); // C
+          }
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
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+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.class,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder
+                    .class);
+      }
+
+      public static final int VALUES_FIELD_NUMBER = 1;
+      private com.google.protobuf.Internal.DoubleList values_;
+      /**
+       *
+       *
+       * <pre>
+       * Required. A list of possible values.
+       * The list should be in increasing order and at least 1e-10 apart.
+       * For instance, this parameter might have possible settings of 1.5, 2.5,
+       * and 4.0. This list should not contain more than 1,000 values.
+       * </pre>
+       *
+       * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return A list containing the values.
+       */
+      @java.lang.Override
+      public java.util.List<java.lang.Double> getValuesList() {
+        return values_;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. A list of possible values.
+       * The list should be in increasing order and at least 1e-10 apart.
+       * For instance, this parameter might have possible settings of 1.5, 2.5,
+       * and 4.0. This list should not contain more than 1,000 values.
+       * </pre>
+       *
+       * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The count of values.
+       */
+      public int getValuesCount() {
+        return values_.size();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. A list of possible values.
+       * The list should be in increasing order and at least 1e-10 apart.
+       * For instance, this parameter might have possible settings of 1.5, 2.5,
+       * and 4.0. This list should not contain more than 1,000 values.
+       * </pre>
+       *
+       * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param index The index of the element to return.
+       * @return The values at the given index.
+       */
+      public double getValues(int index) {
+        return values_.getDouble(index);
+      }
+
+      private int valuesMemoizedSerializedSize = -1;
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
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+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
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+        if (!(obj
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+          return super.equals(obj);
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+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec other =
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+
+        if (!getValuesList().equals(other.getValuesList())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
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+      @java.lang.Override
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+        int hash = 41;
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+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
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+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
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+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Value specification for a parameter in `DISCRETE` type.
+       * </pre>
+       *
+       * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpecOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_descriptor;
+        }
+
+        @java.lang.Override
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+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder
+                      .class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
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+        private void maybeForceBuilderInitialization() {
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+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          values_ = emptyDoubleList();
+          bitField0_ = (bitField0_ & ~0x00000001);
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+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_DiscreteValueSpec_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+              .getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec build() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec result =
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+          if (!result.isInitialized()) {
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+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec result =
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+          onBuilt();
+          return result;
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+        @java.lang.Override
+        public Builder clone() {
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+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
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+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec) other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+                  .getDefaultInstance()) return this;
+          if (!other.values_.isEmpty()) {
+            if (values_.isEmpty()) {
+              values_ = other.values_;
+              bitField0_ = (bitField0_ & ~0x00000001);
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+              values_.addAll(other.values_);
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+            onChanged();
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+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
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+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec parsedMessage =
+              null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
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+
+        private int bitField0_;
+
+        private com.google.protobuf.Internal.DoubleList values_ = emptyDoubleList();
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+        /**
+         *
+         *
+         * <pre>
+         * Required. A list of possible values.
+         * The list should be in increasing order and at least 1e-10 apart.
+         * For instance, this parameter might have possible settings of 1.5, 2.5,
+         * and 4.0. This list should not contain more than 1,000 values.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return A list containing the values.
+         */
+        public java.util.List<java.lang.Double> getValuesList() {
+          return ((bitField0_ & 0x00000001) != 0)
+              ? java.util.Collections.unmodifiableList(values_)
+              : values_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. A list of possible values.
+         * The list should be in increasing order and at least 1e-10 apart.
+         * For instance, this parameter might have possible settings of 1.5, 2.5,
+         * and 4.0. This list should not contain more than 1,000 values.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The count of values.
+         */
+        public int getValuesCount() {
+          return values_.size();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. A list of possible values.
+         * The list should be in increasing order and at least 1e-10 apart.
+         * For instance, this parameter might have possible settings of 1.5, 2.5,
+         * and 4.0. This list should not contain more than 1,000 values.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the element to return.
+         * @return The values at the given index.
+         */
+        public double getValues(int index) {
+          return values_.getDouble(index);
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. A list of possible values.
+         * The list should be in increasing order and at least 1e-10 apart.
+         * For instance, this parameter might have possible settings of 1.5, 2.5,
+         * and 4.0. This list should not contain more than 1,000 values.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index to set the value at.
+         * @param value The values to set.
+         * @return This builder for chaining.
+         */
+        public Builder setValues(int index, double value) {
+          ensureValuesIsMutable();
+          values_.setDouble(index, value);
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. A list of possible values.
+         * The list should be in increasing order and at least 1e-10 apart.
+         * For instance, this parameter might have possible settings of 1.5, 2.5,
+         * and 4.0. This list should not contain more than 1,000 values.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param value The values to add.
+         * @return This builder for chaining.
+         */
+        public Builder addValues(double value) {
+          ensureValuesIsMutable();
+          values_.addDouble(value);
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. A list of possible values.
+         * The list should be in increasing order and at least 1e-10 apart.
+         * For instance, this parameter might have possible settings of 1.5, 2.5,
+         * and 4.0. This list should not contain more than 1,000 values.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param values The values to add.
+         * @return This builder for chaining.
+         */
+        public Builder addAllValues(java.lang.Iterable<? extends java.lang.Double> values) {
+          ensureValuesIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(values, values_);
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. A list of possible values.
+         * The list should be in increasing order and at least 1e-10 apart.
+         * For instance, this parameter might have possible settings of 1.5, 2.5,
+         * and 4.0. This list should not contain more than 1,000 values.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearValues() {
+          values_ = emptyDoubleList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+      private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec();
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<DiscreteValueSpec> PARSER =
+          new com.google.protobuf.AbstractParser<DiscreteValueSpec>() {
+            @java.lang.Override
+            public DiscreteValueSpec parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new DiscreteValueSpec(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<DiscreteValueSpec> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<DiscreteValueSpec> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface ConditionalParameterSpecOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `DISCRETE` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+       * </code>
+       *
+       * @return Whether the parentDiscreteValues field is set.
+       */
+      boolean hasParentDiscreteValues();
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `DISCRETE` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+       * </code>
+       *
+       * @return The parentDiscreteValues.
+       */
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .DiscreteValueCondition
+          getParentDiscreteValues();
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `DISCRETE` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+       * </code>
+       */
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .DiscreteValueConditionOrBuilder
+          getParentDiscreteValuesOrBuilder();
+
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of `INTEGER`
+       * type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+       * </code>
+       *
+       * @return Whether the parentIntValues field is set.
+       */
+      boolean hasParentIntValues();
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of `INTEGER`
+       * type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+       * </code>
+       *
+       * @return The parentIntValues.
+       */
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .IntValueCondition
+          getParentIntValues();
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of `INTEGER`
+       * type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+       * </code>
+       */
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .IntValueConditionOrBuilder
+          getParentIntValuesOrBuilder();
+
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `CATEGORICAL` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+       * </code>
+       *
+       * @return Whether the parentCategoricalValues field is set.
+       */
+      boolean hasParentCategoricalValues();
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `CATEGORICAL` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+       * </code>
+       *
+       * @return The parentCategoricalValues.
+       */
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .CategoricalValueCondition
+          getParentCategoricalValues();
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `CATEGORICAL` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+       * </code>
+       */
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .CategoricalValueConditionOrBuilder
+          getParentCategoricalValuesOrBuilder();
+
+      /**
+       *
+       *
+       * <pre>
+       * Required. The spec for a conditional parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @return Whether the parameterSpec field is set.
+       */
+      boolean hasParameterSpec();
+      /**
+       *
+       *
+       * <pre>
+       * Required. The spec for a conditional parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @return The parameterSpec.
+       */
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getParameterSpec();
+      /**
+       *
+       *
+       * <pre>
+       * Required. The spec for a conditional parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       */
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder getParameterSpecOrBuilder();
+
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .ParentValueConditionCase
+          getParentValueConditionCase();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents a parameter spec with condition from its parent parameter.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec}
+     */
+    public static final class ConditionalParameterSpec
+        extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec)
+        ConditionalParameterSpecOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use ConditionalParameterSpec.newBuilder() to construct.
+      private ConditionalParameterSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private ConditionalParameterSpec() {}
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new ConditionalParameterSpec();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private ConditionalParameterSpec(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder subBuilder = null;
+                  if (parameterSpec_ != null) {
+                    subBuilder = parameterSpec_.toBuilder();
+                  }
+                  parameterSpec_ =
+                      input.readMessage(
+                          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.parser(),
+                          extensionRegistry);
+                  if (subBuilder != null) {
+                    subBuilder.mergeFrom(parameterSpec_);
+                    parameterSpec_ = subBuilder.buildPartial();
+                  }
+
+                  break;
+                }
+              case 18:
+                {
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .DiscreteValueCondition.Builder
+                      subBuilder = null;
+                  if (parentValueConditionCase_ == 2) {
+                    subBuilder =
+                        ((com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                    .ConditionalParameterSpec.DiscreteValueCondition)
+                                parentValueCondition_)
+                            .toBuilder();
+                  }
+                  parentValueCondition_ =
+                      input.readMessage(
+                          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                              .ConditionalParameterSpec.DiscreteValueCondition.parser(),
+                          extensionRegistry);
+                  if (subBuilder != null) {
+                    subBuilder.mergeFrom(
+                        (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                .ConditionalParameterSpec.DiscreteValueCondition)
+                            parentValueCondition_);
+                    parentValueCondition_ = subBuilder.buildPartial();
+                  }
+                  parentValueConditionCase_ = 2;
+                  break;
+                }
+              case 26:
+                {
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .IntValueCondition.Builder
+                      subBuilder = null;
+                  if (parentValueConditionCase_ == 3) {
+                    subBuilder =
+                        ((com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                    .ConditionalParameterSpec.IntValueCondition)
+                                parentValueCondition_)
+                            .toBuilder();
+                  }
+                  parentValueCondition_ =
+                      input.readMessage(
+                          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                              .ConditionalParameterSpec.IntValueCondition.parser(),
+                          extensionRegistry);
+                  if (subBuilder != null) {
+                    subBuilder.mergeFrom(
+                        (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                .ConditionalParameterSpec.IntValueCondition)
+                            parentValueCondition_);
+                    parentValueCondition_ = subBuilder.buildPartial();
+                  }
+                  parentValueConditionCase_ = 3;
+                  break;
+                }
+              case 34:
+                {
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .CategoricalValueCondition.Builder
+                      subBuilder = null;
+                  if (parentValueConditionCase_ == 4) {
+                    subBuilder =
+                        ((com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                    .ConditionalParameterSpec.CategoricalValueCondition)
+                                parentValueCondition_)
+                            .toBuilder();
+                  }
+                  parentValueCondition_ =
+                      input.readMessage(
+                          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                              .ConditionalParameterSpec.CategoricalValueCondition.parser(),
+                          extensionRegistry);
+                  if (subBuilder != null) {
+                    subBuilder.mergeFrom(
+                        (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                .ConditionalParameterSpec.CategoricalValueCondition)
+                            parentValueCondition_);
+                    parentValueCondition_ = subBuilder.buildPartial();
+                  }
+                  parentValueConditionCase_ = 4;
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .class,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .Builder.class);
+      }
+
+      public interface DiscreteValueConditionOrBuilder
+          extends
+          // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition)
+          com.google.protobuf.MessageOrBuilder {
+
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'DISCRETE' type.
+         * All values must exist in `discrete_value_spec` of parent parameter.
+         * The Epsilon of the value matching is 1e-10.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return A list containing the values.
+         */
+        java.util.List<java.lang.Double> getValuesList();
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'DISCRETE' type.
+         * All values must exist in `discrete_value_spec` of parent parameter.
+         * The Epsilon of the value matching is 1e-10.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The count of values.
+         */
+        int getValuesCount();
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'DISCRETE' type.
+         * All values must exist in `discrete_value_spec` of parent parameter.
+         * The Epsilon of the value matching is 1e-10.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the element to return.
+         * @return The values at the given index.
+         */
+        double getValues(int index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Represents the spec to match discrete values from parent parameter.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition}
+       */
+      public static final class DiscreteValueCondition
+          extends com.google.protobuf.GeneratedMessageV3
+          implements
+          // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition)
+          DiscreteValueConditionOrBuilder {
+        private static final long serialVersionUID = 0L;
+        // Use DiscreteValueCondition.newBuilder() to construct.
+        private DiscreteValueCondition(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+          super(builder);
+        }
+
+        private DiscreteValueCondition() {
+          values_ = emptyDoubleList();
+        }
+
+        @java.lang.Override
+        @SuppressWarnings({"unused"})
+        protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+          return new DiscreteValueCondition();
+        }
+
+        @java.lang.Override
+        public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+          return this.unknownFields;
+        }
+
+        private DiscreteValueCondition(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          this();
+          if (extensionRegistry == null) {
+            throw new java.lang.NullPointerException();
+          }
+          int mutable_bitField0_ = 0;
+          com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+              com.google.protobuf.UnknownFieldSet.newBuilder();
+          try {
+            boolean done = false;
+            while (!done) {
+              int tag = input.readTag();
+              switch (tag) {
+                case 0:
+                  done = true;
+                  break;
+                case 9:
+                  {
+                    if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                      values_ = newDoubleList();
+                      mutable_bitField0_ |= 0x00000001;
+                    }
+                    values_.addDouble(input.readDouble());
+                    break;
+                  }
+                case 10:
+                  {
+                    int length = input.readRawVarint32();
+                    int limit = input.pushLimit(length);
+                    if (!((mutable_bitField0_ & 0x00000001) != 0)
+                        && input.getBytesUntilLimit() > 0) {
+                      values_ = newDoubleList();
+                      mutable_bitField0_ |= 0x00000001;
+                    }
+                    while (input.getBytesUntilLimit() > 0) {
+                      values_.addDouble(input.readDouble());
+                    }
+                    input.popLimit(limit);
+                    break;
+                  }
+                default:
+                  {
+                    if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                      done = true;
+                    }
+                    break;
+                  }
+              }
+            }
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            throw e.setUnfinishedMessage(this);
+          } catch (java.io.IOException e) {
+            throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                .setUnfinishedMessage(this);
+          } finally {
+            if (((mutable_bitField0_ & 0x00000001) != 0)) {
+              values_.makeImmutable(); // C
+            }
+            this.unknownFields = unknownFields.build();
+            makeExtensionsImmutable();
+          }
+        }
+
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .DiscreteValueCondition.class,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .DiscreteValueCondition.Builder.class);
+        }
+
+        public static final int VALUES_FIELD_NUMBER = 1;
+        private com.google.protobuf.Internal.DoubleList values_;
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'DISCRETE' type.
+         * All values must exist in `discrete_value_spec` of parent parameter.
+         * The Epsilon of the value matching is 1e-10.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return A list containing the values.
+         */
+        @java.lang.Override
+        public java.util.List<java.lang.Double> getValuesList() {
+          return values_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'DISCRETE' type.
+         * All values must exist in `discrete_value_spec` of parent parameter.
+         * The Epsilon of the value matching is 1e-10.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The count of values.
+         */
+        public int getValuesCount() {
+          return values_.size();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'DISCRETE' type.
+         * All values must exist in `discrete_value_spec` of parent parameter.
+         * The Epsilon of the value matching is 1e-10.
+         * </pre>
+         *
+         * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the element to return.
+         * @return The values at the given index.
+         */
+        public double getValues(int index) {
+          return values_.getDouble(index);
+        }
+
+        private int valuesMemoizedSerializedSize = -1;
+
+        private byte memoizedIsInitialized = -1;
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          byte isInitialized = memoizedIsInitialized;
+          if (isInitialized == 1) return true;
+          if (isInitialized == 0) return false;
+
+          memoizedIsInitialized = 1;
+          return true;
+        }
+
+        @java.lang.Override
+        public void writeTo(com.google.protobuf.CodedOutputStream output)
+            throws java.io.IOException {
+          getSerializedSize();
+          if (getValuesList().size() > 0) {
+            output.writeUInt32NoTag(10);
+            output.writeUInt32NoTag(valuesMemoizedSerializedSize);
+          }
+          for (int i = 0; i < values_.size(); i++) {
+            output.writeDoubleNoTag(values_.getDouble(i));
+          }
+          unknownFields.writeTo(output);
+        }
+
+        @java.lang.Override
+        public int getSerializedSize() {
+          int size = memoizedSize;
+          if (size != -1) return size;
+
+          size = 0;
+          {
+            int dataSize = 0;
+            dataSize = 8 * getValuesList().size();
+            size += dataSize;
+            if (!getValuesList().isEmpty()) {
+              size += 1;
+              size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+            }
+            valuesMemoizedSerializedSize = dataSize;
+          }
+          size += unknownFields.getSerializedSize();
+          memoizedSize = size;
+          return size;
+        }
+
+        @java.lang.Override
+        public boolean equals(final java.lang.Object obj) {
+          if (obj == this) {
+            return true;
+          }
+          if (!(obj
+              instanceof
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .DiscreteValueCondition)) {
+            return super.equals(obj);
+          }
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .DiscreteValueCondition
+              other =
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .DiscreteValueCondition)
+                      obj;
+
+          if (!getValuesList().equals(other.getValuesList())) return false;
+          if (!unknownFields.equals(other.unknownFields)) return false;
+          return true;
+        }
+
+        @java.lang.Override
+        public int hashCode() {
+          if (memoizedHashCode != 0) {
+            return memoizedHashCode;
+          }
+          int hash = 41;
+          hash = (19 * hash) + getDescriptor().hashCode();
+          if (getValuesCount() > 0) {
+            hash = (37 * hash) + VALUES_FIELD_NUMBER;
+            hash = (53 * hash) + getValuesList().hashCode();
+          }
+          hash = (29 * hash) + unknownFields.hashCode();
+          memoizedHashCode = hash;
+          return hash;
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(java.nio.ByteBuffer data)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(
+                java.nio.ByteBuffer data,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(com.google.protobuf.ByteString data)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(
+                com.google.protobuf.ByteString data,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(java.io.InputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(
+                java.io.InputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+              PARSER, input, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+              PARSER, input);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseDelimitedFrom(
+                java.io.InputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+              PARSER, input, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            parseFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+              PARSER, input, extensionRegistry);
+        }
+
+        @java.lang.Override
+        public Builder newBuilderForType() {
+          return newBuilder();
+        }
+
+        public static Builder newBuilder() {
+          return DEFAULT_INSTANCE.toBuilder();
+        }
+
+        public static Builder newBuilder(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition
+                prototype) {
+          return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+        }
+
+        @java.lang.Override
+        public Builder toBuilder() {
+          return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+        }
+
+        @java.lang.Override
+        protected Builder newBuilderForType(
+            com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          Builder builder = new Builder(parent);
+          return builder;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Represents the spec to match discrete values from parent parameter.
+         * </pre>
+         *
+         * Protobuf type {@code
+         * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition}
+         */
+        public static final class Builder
+            extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+            implements
+            // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition)
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueConditionOrBuilder {
+          public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+            return com.google.cloud.aiplatform.v1.StudyProto
+                .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_descriptor;
+          }
+
+          @java.lang.Override
+          protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+              internalGetFieldAccessorTable() {
+            return com.google.cloud.aiplatform.v1.StudyProto
+                .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_fieldAccessorTable
+                .ensureFieldAccessorsInitialized(
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .DiscreteValueCondition.class,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .DiscreteValueCondition.Builder.class);
+          }
+
+          // Construct using
+          // com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.newBuilder()
+          private Builder() {
+            maybeForceBuilderInitialization();
+          }
+
+          private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+            super(parent);
+            maybeForceBuilderInitialization();
+          }
+
+          private void maybeForceBuilderInitialization() {
+            if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+          }
+
+          @java.lang.Override
+          public Builder clear() {
+            super.clear();
+            values_ = emptyDoubleList();
+            bitField0_ = (bitField0_ & ~0x00000001);
+            return this;
+          }
+
+          @java.lang.Override
+          public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+            return com.google.cloud.aiplatform.v1.StudyProto
+                .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition_descriptor;
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .DiscreteValueCondition
+              getDefaultInstanceForType() {
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueCondition.getDefaultInstance();
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .DiscreteValueCondition
+              build() {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition
+                result = buildPartial();
+            if (!result.isInitialized()) {
+              throw newUninitializedMessageException(result);
+            }
+            return result;
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .DiscreteValueCondition
+              buildPartial() {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition
+                result =
+                    new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                        .ConditionalParameterSpec.DiscreteValueCondition(this);
+            int from_bitField0_ = bitField0_;
+            if (((bitField0_ & 0x00000001) != 0)) {
+              values_.makeImmutable();
+              bitField0_ = (bitField0_ & ~0x00000001);
+            }
+            result.values_ = values_;
+            onBuilt();
+            return result;
+          }
+
+          @java.lang.Override
+          public Builder clone() {
+            return super.clone();
+          }
+
+          @java.lang.Override
+          public Builder setField(
+              com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+            return super.setField(field, value);
+          }
+
+          @java.lang.Override
+          public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+            return super.clearField(field);
+          }
+
+          @java.lang.Override
+          public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+            return super.clearOneof(oneof);
+          }
+
+          @java.lang.Override
+          public Builder setRepeatedField(
+              com.google.protobuf.Descriptors.FieldDescriptor field,
+              int index,
+              java.lang.Object value) {
+            return super.setRepeatedField(field, index, value);
+          }
+
+          @java.lang.Override
+          public Builder addRepeatedField(
+              com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+            return super.addRepeatedField(field, value);
+          }
+
+          @java.lang.Override
+          public Builder mergeFrom(com.google.protobuf.Message other) {
+            if (other
+                instanceof
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition) {
+              return mergeFrom(
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .DiscreteValueCondition)
+                      other);
+            } else {
+              super.mergeFrom(other);
+              return this;
+            }
+          }
+
+          public Builder mergeFrom(
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .DiscreteValueCondition
+                  other) {
+            if (other
+                == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition.getDefaultInstance()) return this;
+            if (!other.values_.isEmpty()) {
+              if (values_.isEmpty()) {
+                values_ = other.values_;
+                bitField0_ = (bitField0_ & ~0x00000001);
+              } else {
+                ensureValuesIsMutable();
+                values_.addAll(other.values_);
+              }
+              onChanged();
+            }
+            this.mergeUnknownFields(other.unknownFields);
+            onChanged();
+            return this;
+          }
+
+          @java.lang.Override
+          public final boolean isInitialized() {
+            return true;
+          }
+
+          @java.lang.Override
+          public Builder mergeFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition
+                parsedMessage = null;
+            try {
+              parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+              parsedMessage =
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .DiscreteValueCondition)
+                      e.getUnfinishedMessage();
+              throw e.unwrapIOException();
+            } finally {
+              if (parsedMessage != null) {
+                mergeFrom(parsedMessage);
+              }
+            }
+            return this;
+          }
+
+          private int bitField0_;
+
+          private com.google.protobuf.Internal.DoubleList values_ = emptyDoubleList();
+
+          private void ensureValuesIsMutable() {
+            if (!((bitField0_ & 0x00000001) != 0)) {
+              values_ = mutableCopy(values_);
+              bitField0_ |= 0x00000001;
+            }
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'DISCRETE' type.
+           * All values must exist in `discrete_value_spec` of parent parameter.
+           * The Epsilon of the value matching is 1e-10.
+           * </pre>
+           *
+           * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return A list containing the values.
+           */
+          public java.util.List<java.lang.Double> getValuesList() {
+            return ((bitField0_ & 0x00000001) != 0)
+                ? java.util.Collections.unmodifiableList(values_)
+                : values_;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'DISCRETE' type.
+           * All values must exist in `discrete_value_spec` of parent parameter.
+           * The Epsilon of the value matching is 1e-10.
+           * </pre>
+           *
+           * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return The count of values.
+           */
+          public int getValuesCount() {
+            return values_.size();
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'DISCRETE' type.
+           * All values must exist in `discrete_value_spec` of parent parameter.
+           * The Epsilon of the value matching is 1e-10.
+           * </pre>
+           *
+           * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param index The index of the element to return.
+           * @return The values at the given index.
+           */
+          public double getValues(int index) {
+            return values_.getDouble(index);
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'DISCRETE' type.
+           * All values must exist in `discrete_value_spec` of parent parameter.
+           * The Epsilon of the value matching is 1e-10.
+           * </pre>
+           *
+           * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param index The index to set the value at.
+           * @param value The values to set.
+           * @return This builder for chaining.
+           */
+          public Builder setValues(int index, double value) {
+            ensureValuesIsMutable();
+            values_.setDouble(index, value);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'DISCRETE' type.
+           * All values must exist in `discrete_value_spec` of parent parameter.
+           * The Epsilon of the value matching is 1e-10.
+           * </pre>
+           *
+           * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param value The values to add.
+           * @return This builder for chaining.
+           */
+          public Builder addValues(double value) {
+            ensureValuesIsMutable();
+            values_.addDouble(value);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'DISCRETE' type.
+           * All values must exist in `discrete_value_spec` of parent parameter.
+           * The Epsilon of the value matching is 1e-10.
+           * </pre>
+           *
+           * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param values The values to add.
+           * @return This builder for chaining.
+           */
+          public Builder addAllValues(java.lang.Iterable<? extends java.lang.Double> values) {
+            ensureValuesIsMutable();
+            com.google.protobuf.AbstractMessageLite.Builder.addAll(values, values_);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'DISCRETE' type.
+           * All values must exist in `discrete_value_spec` of parent parameter.
+           * The Epsilon of the value matching is 1e-10.
+           * </pre>
+           *
+           * <code>repeated double values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return This builder for chaining.
+           */
+          public Builder clearValues() {
+            values_ = emptyDoubleList();
+            bitField0_ = (bitField0_ & ~0x00000001);
+            onChanged();
+            return this;
+          }
+
+          @java.lang.Override
+          public final Builder setUnknownFields(
+              final com.google.protobuf.UnknownFieldSet unknownFields) {
+            return super.setUnknownFields(unknownFields);
+          }
+
+          @java.lang.Override
+          public final Builder mergeUnknownFields(
+              final com.google.protobuf.UnknownFieldSet unknownFields) {
+            return super.mergeUnknownFields(unknownFields);
+          }
+
+          // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition)
+        }
+
+        // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition)
+        private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            DEFAULT_INSTANCE;
+
+        static {
+          DEFAULT_INSTANCE =
+              new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .DiscreteValueCondition();
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.DiscreteValueCondition
+            getDefaultInstance() {
+          return DEFAULT_INSTANCE;
+        }
+
+        private static final com.google.protobuf.Parser<DiscreteValueCondition> PARSER =
+            new com.google.protobuf.AbstractParser<DiscreteValueCondition>() {
+              @java.lang.Override
+              public DiscreteValueCondition parsePartialFrom(
+                  com.google.protobuf.CodedInputStream input,
+                  com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                  throws com.google.protobuf.InvalidProtocolBufferException {
+                return new DiscreteValueCondition(input, extensionRegistry);
+              }
+            };
+
+        public static com.google.protobuf.Parser<DiscreteValueCondition> parser() {
+          return PARSER;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Parser<DiscreteValueCondition> getParserForType() {
+          return PARSER;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueCondition
+            getDefaultInstanceForType() {
+          return DEFAULT_INSTANCE;
+        }
+      }
+
+      public interface IntValueConditionOrBuilder
+          extends
+          // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition)
+          com.google.protobuf.MessageOrBuilder {
+
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'INTEGER' type.
+         * All values must lie in `integer_value_spec` of parent parameter.
+         * </pre>
+         *
+         * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return A list containing the values.
+         */
+        java.util.List<java.lang.Long> getValuesList();
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'INTEGER' type.
+         * All values must lie in `integer_value_spec` of parent parameter.
+         * </pre>
+         *
+         * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The count of values.
+         */
+        int getValuesCount();
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'INTEGER' type.
+         * All values must lie in `integer_value_spec` of parent parameter.
+         * </pre>
+         *
+         * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the element to return.
+         * @return The values at the given index.
+         */
+        long getValues(int index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Represents the spec to match integer values from parent parameter.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition}
+       */
+      public static final class IntValueCondition extends com.google.protobuf.GeneratedMessageV3
+          implements
+          // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition)
+          IntValueConditionOrBuilder {
+        private static final long serialVersionUID = 0L;
+        // Use IntValueCondition.newBuilder() to construct.
+        private IntValueCondition(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+          super(builder);
+        }
+
+        private IntValueCondition() {
+          values_ = emptyLongList();
+        }
+
+        @java.lang.Override
+        @SuppressWarnings({"unused"})
+        protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+          return new IntValueCondition();
+        }
+
+        @java.lang.Override
+        public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+          return this.unknownFields;
+        }
+
+        private IntValueCondition(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          this();
+          if (extensionRegistry == null) {
+            throw new java.lang.NullPointerException();
+          }
+          int mutable_bitField0_ = 0;
+          com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+              com.google.protobuf.UnknownFieldSet.newBuilder();
+          try {
+            boolean done = false;
+            while (!done) {
+              int tag = input.readTag();
+              switch (tag) {
+                case 0:
+                  done = true;
+                  break;
+                case 8:
+                  {
+                    if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                      values_ = newLongList();
+                      mutable_bitField0_ |= 0x00000001;
+                    }
+                    values_.addLong(input.readInt64());
+                    break;
+                  }
+                case 10:
+                  {
+                    int length = input.readRawVarint32();
+                    int limit = input.pushLimit(length);
+                    if (!((mutable_bitField0_ & 0x00000001) != 0)
+                        && input.getBytesUntilLimit() > 0) {
+                      values_ = newLongList();
+                      mutable_bitField0_ |= 0x00000001;
+                    }
+                    while (input.getBytesUntilLimit() > 0) {
+                      values_.addLong(input.readInt64());
+                    }
+                    input.popLimit(limit);
+                    break;
+                  }
+                default:
+                  {
+                    if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                      done = true;
+                    }
+                    break;
+                  }
+              }
+            }
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            throw e.setUnfinishedMessage(this);
+          } catch (java.io.IOException e) {
+            throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                .setUnfinishedMessage(this);
+          } finally {
+            if (((mutable_bitField0_ & 0x00000001) != 0)) {
+              values_.makeImmutable(); // C
+            }
+            this.unknownFields = unknownFields.build();
+            makeExtensionsImmutable();
+          }
+        }
+
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .IntValueCondition.class,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .IntValueCondition.Builder.class);
+        }
+
+        public static final int VALUES_FIELD_NUMBER = 1;
+        private com.google.protobuf.Internal.LongList values_;
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'INTEGER' type.
+         * All values must lie in `integer_value_spec` of parent parameter.
+         * </pre>
+         *
+         * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return A list containing the values.
+         */
+        @java.lang.Override
+        public java.util.List<java.lang.Long> getValuesList() {
+          return values_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'INTEGER' type.
+         * All values must lie in `integer_value_spec` of parent parameter.
+         * </pre>
+         *
+         * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The count of values.
+         */
+        public int getValuesCount() {
+          return values_.size();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'INTEGER' type.
+         * All values must lie in `integer_value_spec` of parent parameter.
+         * </pre>
+         *
+         * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the element to return.
+         * @return The values at the given index.
+         */
+        public long getValues(int index) {
+          return values_.getLong(index);
+        }
+
+        private int valuesMemoizedSerializedSize = -1;
+
+        private byte memoizedIsInitialized = -1;
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          byte isInitialized = memoizedIsInitialized;
+          if (isInitialized == 1) return true;
+          if (isInitialized == 0) return false;
+
+          memoizedIsInitialized = 1;
+          return true;
+        }
+
+        @java.lang.Override
+        public void writeTo(com.google.protobuf.CodedOutputStream output)
+            throws java.io.IOException {
+          getSerializedSize();
+          if (getValuesList().size() > 0) {
+            output.writeUInt32NoTag(10);
+            output.writeUInt32NoTag(valuesMemoizedSerializedSize);
+          }
+          for (int i = 0; i < values_.size(); i++) {
+            output.writeInt64NoTag(values_.getLong(i));
+          }
+          unknownFields.writeTo(output);
+        }
+
+        @java.lang.Override
+        public int getSerializedSize() {
+          int size = memoizedSize;
+          if (size != -1) return size;
+
+          size = 0;
+          {
+            int dataSize = 0;
+            for (int i = 0; i < values_.size(); i++) {
+              dataSize +=
+                  com.google.protobuf.CodedOutputStream.computeInt64SizeNoTag(values_.getLong(i));
+            }
+            size += dataSize;
+            if (!getValuesList().isEmpty()) {
+              size += 1;
+              size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+            }
+            valuesMemoizedSerializedSize = dataSize;
+          }
+          size += unknownFields.getSerializedSize();
+          memoizedSize = size;
+          return size;
+        }
+
+        @java.lang.Override
+        public boolean equals(final java.lang.Object obj) {
+          if (obj == this) {
+            return true;
+          }
+          if (!(obj
+              instanceof
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .IntValueCondition)) {
+            return super.equals(obj);
+          }
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .IntValueCondition
+              other =
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .IntValueCondition)
+                      obj;
+
+          if (!getValuesList().equals(other.getValuesList())) return false;
+          if (!unknownFields.equals(other.unknownFields)) return false;
+          return true;
+        }
+
+        @java.lang.Override
+        public int hashCode() {
+          if (memoizedHashCode != 0) {
+            return memoizedHashCode;
+          }
+          int hash = 41;
+          hash = (19 * hash) + getDescriptor().hashCode();
+          if (getValuesCount() > 0) {
+            hash = (37 * hash) + VALUES_FIELD_NUMBER;
+            hash = (53 * hash) + getValuesList().hashCode();
+          }
+          hash = (29 * hash) + unknownFields.hashCode();
+          memoizedHashCode = hash;
+          return hash;
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(java.nio.ByteBuffer data)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
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+                java.nio.ByteBuffer data,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+          return PARSER.parseFrom(data, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(com.google.protobuf.ByteString data)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(
+                com.google.protobuf.ByteString data,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data, extensionRegistry);
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+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(java.io.InputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(
+                java.io.InputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+              PARSER, input, extensionRegistry);
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+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+              PARSER, input);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseDelimitedFrom(
+                java.io.InputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            parseFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+              PARSER, input, extensionRegistry);
+        }
+
+        @java.lang.Override
+        public Builder newBuilderForType() {
+          return newBuilder();
+        }
+
+        public static Builder newBuilder() {
+          return DEFAULT_INSTANCE.toBuilder();
+        }
+
+        public static Builder newBuilder(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition
+                prototype) {
+          return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+        }
+
+        @java.lang.Override
+        public Builder toBuilder() {
+          return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+        }
+
+        @java.lang.Override
+        protected Builder newBuilderForType(
+            com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          Builder builder = new Builder(parent);
+          return builder;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Represents the spec to match integer values from parent parameter.
+         * </pre>
+         *
+         * Protobuf type {@code
+         * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition}
+         */
+        public static final class Builder
+            extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+            implements
+            // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition)
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueConditionOrBuilder {
+          public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+            return com.google.cloud.aiplatform.v1.StudyProto
+                .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_descriptor;
+          }
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+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .IntValueCondition.Builder.class);
+          }
+
+          // Construct using
+          // com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.newBuilder()
+          private Builder() {
+            maybeForceBuilderInitialization();
+          }
+
+          private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+            super(parent);
+            maybeForceBuilderInitialization();
+          }
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+          private void maybeForceBuilderInitialization() {
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+
+          @java.lang.Override
+          public Builder clear() {
+            super.clear();
+            values_ = emptyLongList();
+            bitField0_ = (bitField0_ & ~0x00000001);
+            return this;
+          }
+
+          @java.lang.Override
+          public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+            return com.google.cloud.aiplatform.v1.StudyProto
+                .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition_descriptor;
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .IntValueCondition
+              getDefaultInstanceForType() {
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueCondition.getDefaultInstance();
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .IntValueCondition
+              build() {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition
+                result = buildPartial();
+            if (!result.isInitialized()) {
+              throw newUninitializedMessageException(result);
+            }
+            return result;
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .IntValueCondition
+              buildPartial() {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition
+                result =
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+            int from_bitField0_ = bitField0_;
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+            onBuilt();
+            return result;
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+          @java.lang.Override
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+          @java.lang.Override
+          public Builder setField(
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+          @java.lang.Override
+          public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
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+
+          @java.lang.Override
+          public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+          @java.lang.Override
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+              int index,
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+          @java.lang.Override
+          public Builder addRepeatedField(
+              com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+            return super.addRepeatedField(field, value);
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+
+          @java.lang.Override
+          public Builder mergeFrom(com.google.protobuf.Message other) {
+            if (other
+                instanceof
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition) {
+              return mergeFrom(
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .IntValueCondition)
+                      other);
+            } else {
+              super.mergeFrom(other);
+              return this;
+            }
+          }
+
+          public Builder mergeFrom(
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .IntValueCondition
+                  other) {
+            if (other
+                == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
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+            if (!other.values_.isEmpty()) {
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+                bitField0_ = (bitField0_ & ~0x00000001);
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+            this.mergeUnknownFields(other.unknownFields);
+            onChanged();
+            return this;
+          }
+
+          @java.lang.Override
+          public final boolean isInitialized() {
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+
+          @java.lang.Override
+          public Builder mergeFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition
+                parsedMessage = null;
+            try {
+              parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+              parsedMessage =
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .IntValueCondition)
+                      e.getUnfinishedMessage();
+              throw e.unwrapIOException();
+            } finally {
+              if (parsedMessage != null) {
+                mergeFrom(parsedMessage);
+              }
+            }
+            return this;
+          }
+
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+            }
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'INTEGER' type.
+           * All values must lie in `integer_value_spec` of parent parameter.
+           * </pre>
+           *
+           * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return A list containing the values.
+           */
+          public java.util.List<java.lang.Long> getValuesList() {
+            return ((bitField0_ & 0x00000001) != 0)
+                ? java.util.Collections.unmodifiableList(values_)
+                : values_;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'INTEGER' type.
+           * All values must lie in `integer_value_spec` of parent parameter.
+           * </pre>
+           *
+           * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return The count of values.
+           */
+          public int getValuesCount() {
+            return values_.size();
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'INTEGER' type.
+           * All values must lie in `integer_value_spec` of parent parameter.
+           * </pre>
+           *
+           * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param index The index of the element to return.
+           * @return The values at the given index.
+           */
+          public long getValues(int index) {
+            return values_.getLong(index);
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'INTEGER' type.
+           * All values must lie in `integer_value_spec` of parent parameter.
+           * </pre>
+           *
+           * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param index The index to set the value at.
+           * @param value The values to set.
+           * @return This builder for chaining.
+           */
+          public Builder setValues(int index, long value) {
+            ensureValuesIsMutable();
+            values_.setLong(index, value);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'INTEGER' type.
+           * All values must lie in `integer_value_spec` of parent parameter.
+           * </pre>
+           *
+           * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param value The values to add.
+           * @return This builder for chaining.
+           */
+          public Builder addValues(long value) {
+            ensureValuesIsMutable();
+            values_.addLong(value);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'INTEGER' type.
+           * All values must lie in `integer_value_spec` of parent parameter.
+           * </pre>
+           *
+           * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param values The values to add.
+           * @return This builder for chaining.
+           */
+          public Builder addAllValues(java.lang.Iterable<? extends java.lang.Long> values) {
+            ensureValuesIsMutable();
+            com.google.protobuf.AbstractMessageLite.Builder.addAll(values, values_);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'INTEGER' type.
+           * All values must lie in `integer_value_spec` of parent parameter.
+           * </pre>
+           *
+           * <code>repeated int64 values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return This builder for chaining.
+           */
+          public Builder clearValues() {
+            values_ = emptyLongList();
+            bitField0_ = (bitField0_ & ~0x00000001);
+            onChanged();
+            return this;
+          }
+
+          @java.lang.Override
+          public final Builder setUnknownFields(
+              final com.google.protobuf.UnknownFieldSet unknownFields) {
+            return super.setUnknownFields(unknownFields);
+          }
+
+          @java.lang.Override
+          public final Builder mergeUnknownFields(
+              final com.google.protobuf.UnknownFieldSet unknownFields) {
+            return super.mergeUnknownFields(unknownFields);
+          }
+
+          // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition)
+        }
+
+        // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition)
+        private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            DEFAULT_INSTANCE;
+
+        static {
+          DEFAULT_INSTANCE =
+              new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .IntValueCondition();
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.IntValueCondition
+            getDefaultInstance() {
+          return DEFAULT_INSTANCE;
+        }
+
+        private static final com.google.protobuf.Parser<IntValueCondition> PARSER =
+            new com.google.protobuf.AbstractParser<IntValueCondition>() {
+              @java.lang.Override
+              public IntValueCondition parsePartialFrom(
+                  com.google.protobuf.CodedInputStream input,
+                  com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                  throws com.google.protobuf.InvalidProtocolBufferException {
+                return new IntValueCondition(input, extensionRegistry);
+              }
+            };
+
+        public static com.google.protobuf.Parser<IntValueCondition> parser() {
+          return PARSER;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Parser<IntValueCondition> getParserForType() {
+          return PARSER;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueCondition
+            getDefaultInstanceForType() {
+          return DEFAULT_INSTANCE;
+        }
+      }
+
+      public interface CategoricalValueConditionOrBuilder
+          extends
+          // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition)
+          com.google.protobuf.MessageOrBuilder {
+
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+         * All values must exist in `categorical_value_spec` of parent
+         * parameter.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return A list containing the values.
+         */
+        java.util.List<java.lang.String> getValuesList();
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+         * All values must exist in `categorical_value_spec` of parent
+         * parameter.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The count of values.
+         */
+        int getValuesCount();
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+         * All values must exist in `categorical_value_spec` of parent
+         * parameter.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the element to return.
+         * @return The values at the given index.
+         */
+        java.lang.String getValues(int index);
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+         * All values must exist in `categorical_value_spec` of parent
+         * parameter.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the value to return.
+         * @return The bytes of the values at the given index.
+         */
+        com.google.protobuf.ByteString getValuesBytes(int index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Represents the spec to match categorical values from parent parameter.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition}
+       */
+      public static final class CategoricalValueCondition
+          extends com.google.protobuf.GeneratedMessageV3
+          implements
+          // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition)
+          CategoricalValueConditionOrBuilder {
+        private static final long serialVersionUID = 0L;
+        // Use CategoricalValueCondition.newBuilder() to construct.
+        private CategoricalValueCondition(
+            com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+          super(builder);
+        }
+
+        private CategoricalValueCondition() {
+          values_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+        }
+
+        @java.lang.Override
+        @SuppressWarnings({"unused"})
+        protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+          return new CategoricalValueCondition();
+        }
+
+        @java.lang.Override
+        public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+          return this.unknownFields;
+        }
+
+        private CategoricalValueCondition(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          this();
+          if (extensionRegistry == null) {
+            throw new java.lang.NullPointerException();
+          }
+          int mutable_bitField0_ = 0;
+          com.google.protobuf.UnknownFieldSet.Builder unknownFields =
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+          try {
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+              switch (tag) {
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+                  break;
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+                    if (!((mutable_bitField0_ & 0x00000001) != 0)) {
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+                    }
+                    values_.add(s);
+                    break;
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+                    break;
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+              }
+            }
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            throw e.setUnfinishedMessage(this);
+          } catch (java.io.IOException e) {
+            throw new com.google.protobuf.InvalidProtocolBufferException(e)
+                .setUnfinishedMessage(this);
+          } finally {
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+              values_ = values_.getUnmodifiableView();
+            }
+            this.unknownFields = unknownFields.build();
+            makeExtensionsImmutable();
+          }
+        }
+
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
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+              .ensureFieldAccessorsInitialized(
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+                      .CategoricalValueCondition.class,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .CategoricalValueCondition.Builder.class);
+        }
+
+        public static final int VALUES_FIELD_NUMBER = 1;
+        private com.google.protobuf.LazyStringList values_;
+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+         * All values must exist in `categorical_value_spec` of parent
+         * parameter.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
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+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+         * All values must exist in `categorical_value_spec` of parent
+         * parameter.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @return The count of values.
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+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+         * All values must exist in `categorical_value_spec` of parent
+         * parameter.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the element to return.
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+        /**
+         *
+         *
+         * <pre>
+         * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+         * All values must exist in `categorical_value_spec` of parent
+         * parameter.
+         * </pre>
+         *
+         * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+         *
+         * @param index The index of the value to return.
+         * @return The bytes of the values at the given index.
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+          if (!(obj
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+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .CategoricalValueCondition)
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+          if (!getValuesList().equals(other.getValuesList())) return false;
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+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(java.nio.ByteBuffer data)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(
+                java.nio.ByteBuffer data,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(com.google.protobuf.ByteString data)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(
+                com.google.protobuf.ByteString data,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+          return PARSER.parseFrom(data, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(java.io.InputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(
+                java.io.InputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+              PARSER, input, extensionRegistry);
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+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+              PARSER, input);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseDelimitedFrom(
+                java.io.InputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+              PARSER, input, extensionRegistry);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            parseFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws java.io.IOException {
+          return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+              PARSER, input, extensionRegistry);
+        }
+
+        @java.lang.Override
+        public Builder newBuilderForType() {
+          return newBuilder();
+        }
+
+        public static Builder newBuilder() {
+          return DEFAULT_INSTANCE.toBuilder();
+        }
+
+        public static Builder newBuilder(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition
+                prototype) {
+          return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+        }
+
+        @java.lang.Override
+        public Builder toBuilder() {
+          return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+        }
+
+        @java.lang.Override
+        protected Builder newBuilderForType(
+            com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          Builder builder = new Builder(parent);
+          return builder;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Represents the spec to match categorical values from parent parameter.
+         * </pre>
+         *
+         * Protobuf type {@code
+         * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition}
+         */
+        public static final class Builder
+            extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+            implements
+            // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition)
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueConditionOrBuilder {
+          public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+            return com.google.cloud.aiplatform.v1.StudyProto
+                .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition_descriptor;
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+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .CategoricalValueCondition.Builder.class);
+          }
+
+          // Construct using
+          // com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.newBuilder()
+          private Builder() {
+            maybeForceBuilderInitialization();
+          }
+
+          private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+            super(parent);
+            maybeForceBuilderInitialization();
+          }
+
+          private void maybeForceBuilderInitialization() {
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+
+          @java.lang.Override
+          public Builder clear() {
+            super.clear();
+            values_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            return this;
+          }
+
+          @java.lang.Override
+          public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+            return com.google.cloud.aiplatform.v1.StudyProto
+                .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition_descriptor;
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .CategoricalValueCondition
+              getDefaultInstanceForType() {
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueCondition.getDefaultInstance();
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .CategoricalValueCondition
+              build() {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition
+                result = buildPartial();
+            if (!result.isInitialized()) {
+              throw newUninitializedMessageException(result);
+            }
+            return result;
+          }
+
+          @java.lang.Override
+          public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .CategoricalValueCondition
+              buildPartial() {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition
+                result =
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+                        .ConditionalParameterSpec.CategoricalValueCondition(this);
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+            result.values_ = values_;
+            onBuilt();
+            return result;
+          }
+
+          @java.lang.Override
+          public Builder clone() {
+            return super.clone();
+          }
+
+          @java.lang.Override
+          public Builder setField(
+              com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+          }
+
+          @java.lang.Override
+          public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+            return super.clearField(field);
+          }
+
+          @java.lang.Override
+          public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+          }
+
+          @java.lang.Override
+          public Builder setRepeatedField(
+              com.google.protobuf.Descriptors.FieldDescriptor field,
+              int index,
+              java.lang.Object value) {
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+
+          @java.lang.Override
+          public Builder addRepeatedField(
+              com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+            return super.addRepeatedField(field, value);
+          }
+
+          @java.lang.Override
+          public Builder mergeFrom(com.google.protobuf.Message other) {
+            if (other
+                instanceof
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition) {
+              return mergeFrom(
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .CategoricalValueCondition)
+                      other);
+            } else {
+              super.mergeFrom(other);
+              return this;
+            }
+          }
+
+          public Builder mergeFrom(
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .CategoricalValueCondition
+                  other) {
+            if (other
+                == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition.getDefaultInstance()) return this;
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+              onChanged();
+            }
+            this.mergeUnknownFields(other.unknownFields);
+            onChanged();
+            return this;
+          }
+
+          @java.lang.Override
+          public final boolean isInitialized() {
+            return true;
+          }
+
+          @java.lang.Override
+          public Builder mergeFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition
+                parsedMessage = null;
+            try {
+              parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+              parsedMessage =
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .CategoricalValueCondition)
+                      e.getUnfinishedMessage();
+              throw e.unwrapIOException();
+            } finally {
+              if (parsedMessage != null) {
+                mergeFrom(parsedMessage);
+              }
+            }
+            return this;
+          }
+
+          private int bitField0_;
+
+          private com.google.protobuf.LazyStringList values_ =
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+              bitField0_ |= 0x00000001;
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+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return A list containing the values.
+           */
+          public com.google.protobuf.ProtocolStringList getValuesList() {
+            return values_.getUnmodifiableView();
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return The count of values.
+           */
+          public int getValuesCount() {
+            return values_.size();
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param index The index of the element to return.
+           * @return The values at the given index.
+           */
+          public java.lang.String getValues(int index) {
+            return values_.get(index);
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param index The index of the value to return.
+           * @return The bytes of the values at the given index.
+           */
+          public com.google.protobuf.ByteString getValuesBytes(int index) {
+            return values_.getByteString(index);
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param index The index to set the value at.
+           * @param value The values to set.
+           * @return This builder for chaining.
+           */
+          public Builder setValues(int index, java.lang.String value) {
+            if (value == null) {
+              throw new NullPointerException();
+            }
+            ensureValuesIsMutable();
+            values_.set(index, value);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param value The values to add.
+           * @return This builder for chaining.
+           */
+          public Builder addValues(java.lang.String value) {
+            if (value == null) {
+              throw new NullPointerException();
+            }
+            ensureValuesIsMutable();
+            values_.add(value);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param values The values to add.
+           * @return This builder for chaining.
+           */
+          public Builder addAllValues(java.lang.Iterable<java.lang.String> values) {
+            ensureValuesIsMutable();
+            com.google.protobuf.AbstractMessageLite.Builder.addAll(values, values_);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @return This builder for chaining.
+           */
+          public Builder clearValues() {
+            values_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            onChanged();
+            return this;
+          }
+          /**
+           *
+           *
+           * <pre>
+           * Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+           * All values must exist in `categorical_value_spec` of parent
+           * parameter.
+           * </pre>
+           *
+           * <code>repeated string values = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+           *
+           * @param value The bytes of the values to add.
+           * @return This builder for chaining.
+           */
+          public Builder addValuesBytes(com.google.protobuf.ByteString value) {
+            if (value == null) {
+              throw new NullPointerException();
+            }
+            checkByteStringIsUtf8(value);
+            ensureValuesIsMutable();
+            values_.add(value);
+            onChanged();
+            return this;
+          }
+
+          @java.lang.Override
+          public final Builder setUnknownFields(
+              final com.google.protobuf.UnknownFieldSet unknownFields) {
+            return super.setUnknownFields(unknownFields);
+          }
+
+          @java.lang.Override
+          public final Builder mergeUnknownFields(
+              final com.google.protobuf.UnknownFieldSet unknownFields) {
+            return super.mergeUnknownFields(unknownFields);
+          }
+
+          // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition)
+        }
+
+        // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition)
+        private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            DEFAULT_INSTANCE;
+
+        static {
+          DEFAULT_INSTANCE =
+              new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .CategoricalValueCondition();
+        }
+
+        public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                .ConditionalParameterSpec.CategoricalValueCondition
+            getDefaultInstance() {
+          return DEFAULT_INSTANCE;
+        }
+
+        private static final com.google.protobuf.Parser<CategoricalValueCondition> PARSER =
+            new com.google.protobuf.AbstractParser<CategoricalValueCondition>() {
+              @java.lang.Override
+              public CategoricalValueCondition parsePartialFrom(
+                  com.google.protobuf.CodedInputStream input,
+                  com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                  throws com.google.protobuf.InvalidProtocolBufferException {
+                return new CategoricalValueCondition(input, extensionRegistry);
+              }
+            };
+
+        public static com.google.protobuf.Parser<CategoricalValueCondition> parser() {
+          return PARSER;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Parser<CategoricalValueCondition> getParserForType() {
+          return PARSER;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueCondition
+            getDefaultInstanceForType() {
+          return DEFAULT_INSTANCE;
+        }
+      }
+
+      private int parentValueConditionCase_ = 0;
+      private java.lang.Object parentValueCondition_;
+
+      public enum ParentValueConditionCase
+          implements
+              com.google.protobuf.Internal.EnumLite,
+              com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+        PARENT_DISCRETE_VALUES(2),
+        PARENT_INT_VALUES(3),
+        PARENT_CATEGORICAL_VALUES(4),
+        PARENTVALUECONDITION_NOT_SET(0);
+        private final int value;
+
+        private ParentValueConditionCase(int value) {
+          this.value = value;
+        }
+        /**
+         * @param value The number of the enum to look for.
+         * @return The enum associated with the given number.
+         * @deprecated Use {@link #forNumber(int)} instead.
+         */
+        @java.lang.Deprecated
+        public static ParentValueConditionCase valueOf(int value) {
+          return forNumber(value);
+        }
+
+        public static ParentValueConditionCase forNumber(int value) {
+          switch (value) {
+            case 2:
+              return PARENT_DISCRETE_VALUES;
+            case 3:
+              return PARENT_INT_VALUES;
+            case 4:
+              return PARENT_CATEGORICAL_VALUES;
+            case 0:
+              return PARENTVALUECONDITION_NOT_SET;
+            default:
+              return null;
+          }
+        }
+
+        public int getNumber() {
+          return this.value;
+        }
+      };
+
+      public ParentValueConditionCase getParentValueConditionCase() {
+        return ParentValueConditionCase.forNumber(parentValueConditionCase_);
+      }
+
+      public static final int PARENT_DISCRETE_VALUES_FIELD_NUMBER = 2;
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `DISCRETE` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+       * </code>
+       *
+       * @return Whether the parentDiscreteValues field is set.
+       */
+      @java.lang.Override
+      public boolean hasParentDiscreteValues() {
+        return parentValueConditionCase_ == 2;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `DISCRETE` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+       * </code>
+       *
+       * @return The parentDiscreteValues.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .DiscreteValueCondition
+          getParentDiscreteValues() {
+        if (parentValueConditionCase_ == 2) {
+          return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .DiscreteValueCondition)
+              parentValueCondition_;
+        }
+        return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            .DiscreteValueCondition.getDefaultInstance();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `DISCRETE` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .DiscreteValueConditionOrBuilder
+          getParentDiscreteValuesOrBuilder() {
+        if (parentValueConditionCase_ == 2) {
+          return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .DiscreteValueCondition)
+              parentValueCondition_;
+        }
+        return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            .DiscreteValueCondition.getDefaultInstance();
+      }
+
+      public static final int PARENT_INT_VALUES_FIELD_NUMBER = 3;
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of `INTEGER`
+       * type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+       * </code>
+       *
+       * @return Whether the parentIntValues field is set.
+       */
+      @java.lang.Override
+      public boolean hasParentIntValues() {
+        return parentValueConditionCase_ == 3;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of `INTEGER`
+       * type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+       * </code>
+       *
+       * @return The parentIntValues.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .IntValueCondition
+          getParentIntValues() {
+        if (parentValueConditionCase_ == 3) {
+          return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .IntValueCondition)
+              parentValueCondition_;
+        }
+        return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            .IntValueCondition.getDefaultInstance();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of `INTEGER`
+       * type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .IntValueConditionOrBuilder
+          getParentIntValuesOrBuilder() {
+        if (parentValueConditionCase_ == 3) {
+          return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .IntValueCondition)
+              parentValueCondition_;
+        }
+        return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            .IntValueCondition.getDefaultInstance();
+      }
+
+      public static final int PARENT_CATEGORICAL_VALUES_FIELD_NUMBER = 4;
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `CATEGORICAL` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+       * </code>
+       *
+       * @return Whether the parentCategoricalValues field is set.
+       */
+      @java.lang.Override
+      public boolean hasParentCategoricalValues() {
+        return parentValueConditionCase_ == 4;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `CATEGORICAL` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+       * </code>
+       *
+       * @return The parentCategoricalValues.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .CategoricalValueCondition
+          getParentCategoricalValues() {
+        if (parentValueConditionCase_ == 4) {
+          return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .CategoricalValueCondition)
+              parentValueCondition_;
+        }
+        return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            .CategoricalValueCondition.getDefaultInstance();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The spec for matching values from a parent parameter of
+       * `CATEGORICAL` type.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .CategoricalValueConditionOrBuilder
+          getParentCategoricalValuesOrBuilder() {
+        if (parentValueConditionCase_ == 4) {
+          return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .CategoricalValueCondition)
+              parentValueCondition_;
+        }
+        return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            .CategoricalValueCondition.getDefaultInstance();
+      }
+
+      public static final int PARAMETER_SPEC_FIELD_NUMBER = 1;
+      private com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameterSpec_;
+      /**
+       *
+       *
+       * <pre>
+       * Required. The spec for a conditional parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @return Whether the parameterSpec field is set.
+       */
+      @java.lang.Override
+      public boolean hasParameterSpec() {
+        return parameterSpec_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The spec for a conditional parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       *
+       * @return The parameterSpec.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getParameterSpec() {
+        return parameterSpec_ == null
+            ? com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.getDefaultInstance()
+            : parameterSpec_;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The spec for a conditional parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder
+          getParameterSpecOrBuilder() {
+        return getParameterSpec();
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (parameterSpec_ != null) {
+          output.writeMessage(1, getParameterSpec());
+        }
+        if (parentValueConditionCase_ == 2) {
+          output.writeMessage(
+              2,
+              (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .DiscreteValueCondition)
+                  parentValueCondition_);
+        }
+        if (parentValueConditionCase_ == 3) {
+          output.writeMessage(
+              3,
+              (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .IntValueCondition)
+                  parentValueCondition_);
+        }
+        if (parentValueConditionCase_ == 4) {
+          output.writeMessage(
+              4,
+              (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .CategoricalValueCondition)
+                  parentValueCondition_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (parameterSpec_ != null) {
+          size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getParameterSpec());
+        }
+        if (parentValueConditionCase_ == 2) {
+          size +=
+              com.google.protobuf.CodedOutputStream.computeMessageSize(
+                  2,
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .DiscreteValueCondition)
+                      parentValueCondition_);
+        }
+        if (parentValueConditionCase_ == 3) {
+          size +=
+              com.google.protobuf.CodedOutputStream.computeMessageSize(
+                  3,
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .IntValueCondition)
+                      parentValueCondition_);
+        }
+        if (parentValueConditionCase_ == 4) {
+          size +=
+              com.google.protobuf.CodedOutputStream.computeMessageSize(
+                  4,
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                          .CategoricalValueCondition)
+                      parentValueCondition_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec other =
+            (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec) obj;
+
+        if (hasParameterSpec() != other.hasParameterSpec()) return false;
+        if (hasParameterSpec()) {
+          if (!getParameterSpec().equals(other.getParameterSpec())) return false;
+        }
+        if (!getParentValueConditionCase().equals(other.getParentValueConditionCase()))
+          return false;
+        switch (parentValueConditionCase_) {
+          case 2:
+            if (!getParentDiscreteValues().equals(other.getParentDiscreteValues())) return false;
+            break;
+          case 3:
+            if (!getParentIntValues().equals(other.getParentIntValues())) return false;
+            break;
+          case 4:
+            if (!getParentCategoricalValues().equals(other.getParentCategoricalValues()))
+              return false;
+            break;
+          case 0:
+          default:
+        }
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        if (hasParameterSpec()) {
+          hash = (37 * hash) + PARAMETER_SPEC_FIELD_NUMBER;
+          hash = (53 * hash) + getParameterSpec().hashCode();
+        }
+        switch (parentValueConditionCase_) {
+          case 2:
+            hash = (37 * hash) + PARENT_DISCRETE_VALUES_FIELD_NUMBER;
+            hash = (53 * hash) + getParentDiscreteValues().hashCode();
+            break;
+          case 3:
+            hash = (37 * hash) + PARENT_INT_VALUES_FIELD_NUMBER;
+            hash = (53 * hash) + getParentIntValues().hashCode();
+            break;
+          case 4:
+            hash = (37 * hash) + PARENT_CATEGORICAL_VALUES_FIELD_NUMBER;
+            hash = (53 * hash) + getParentCategoricalValues().hashCode();
+            break;
+          case 0:
+          default:
+        }
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Represents a parameter spec with condition from its parent parameter.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec)
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpecOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .class,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          if (parameterSpecBuilder_ == null) {
+            parameterSpec_ = null;
+          } else {
+            parameterSpec_ = null;
+            parameterSpecBuilder_ = null;
+          }
+          parentValueConditionCase_ = 0;
+          parentValueCondition_ = null;
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.StudyProto
+              .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_ConditionalParameterSpec_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              .getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            build() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec result =
+              buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec result =
+              new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec(
+                  this);
+          if (parentValueConditionCase_ == 2) {
+            if (parentDiscreteValuesBuilder_ == null) {
+              result.parentValueCondition_ = parentValueCondition_;
+            } else {
+              result.parentValueCondition_ = parentDiscreteValuesBuilder_.build();
+            }
+          }
+          if (parentValueConditionCase_ == 3) {
+            if (parentIntValuesBuilder_ == null) {
+              result.parentValueCondition_ = parentValueCondition_;
+            } else {
+              result.parentValueCondition_ = parentIntValuesBuilder_.build();
+            }
+          }
+          if (parentValueConditionCase_ == 4) {
+            if (parentCategoricalValuesBuilder_ == null) {
+              result.parentValueCondition_ = parentValueCondition_;
+            } else {
+              result.parentValueCondition_ = parentCategoricalValuesBuilder_.build();
+            }
+          }
+          if (parameterSpecBuilder_ == null) {
+            result.parameterSpec_ = parameterSpec_;
+          } else {
+            result.parameterSpec_ = parameterSpecBuilder_.build();
+          }
+          result.parentValueConditionCase_ = parentValueConditionCase_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .getDefaultInstance()) return this;
+          if (other.hasParameterSpec()) {
+            mergeParameterSpec(other.getParameterSpec());
+          }
+          switch (other.getParentValueConditionCase()) {
+            case PARENT_DISCRETE_VALUES:
+              {
+                mergeParentDiscreteValues(other.getParentDiscreteValues());
+                break;
+              }
+            case PARENT_INT_VALUES:
+              {
+                mergeParentIntValues(other.getParentIntValues());
+                break;
+              }
+            case PARENT_CATEGORICAL_VALUES:
+              {
+                mergeParentCategoricalValues(other.getParentCategoricalValues());
+                break;
+              }
+            case PARENTVALUECONDITION_NOT_SET:
+              {
+                break;
+              }
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private int parentValueConditionCase_ = 0;
+        private java.lang.Object parentValueCondition_;
+
+        public ParentValueConditionCase getParentValueConditionCase() {
+          return ParentValueConditionCase.forNumber(parentValueConditionCase_);
+        }
+
+        public Builder clearParentValueCondition() {
+          parentValueConditionCase_ = 0;
+          parentValueCondition_ = null;
+          onChanged();
+          return this;
+        }
+
+        private com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueConditionOrBuilder>
+            parentDiscreteValuesBuilder_;
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         *
+         * @return Whether the parentDiscreteValues field is set.
+         */
+        @java.lang.Override
+        public boolean hasParentDiscreteValues() {
+          return parentValueConditionCase_ == 2;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         *
+         * @return The parentDiscreteValues.
+         */
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueCondition
+            getParentDiscreteValues() {
+          if (parentDiscreteValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 2) {
+              return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .ConditionalParameterSpec.DiscreteValueCondition)
+                  parentValueCondition_;
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueCondition.getDefaultInstance();
+          } else {
+            if (parentValueConditionCase_ == 2) {
+              return parentDiscreteValuesBuilder_.getMessage();
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueCondition.getDefaultInstance();
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         */
+        public Builder setParentDiscreteValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition
+                value) {
+          if (parentDiscreteValuesBuilder_ == null) {
+            if (value == null) {
+              throw new NullPointerException();
+            }
+            parentValueCondition_ = value;
+            onChanged();
+          } else {
+            parentDiscreteValuesBuilder_.setMessage(value);
+          }
+          parentValueConditionCase_ = 2;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         */
+        public Builder setParentDiscreteValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition.Builder
+                builderForValue) {
+          if (parentDiscreteValuesBuilder_ == null) {
+            parentValueCondition_ = builderForValue.build();
+            onChanged();
+          } else {
+            parentDiscreteValuesBuilder_.setMessage(builderForValue.build());
+          }
+          parentValueConditionCase_ = 2;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         */
+        public Builder mergeParentDiscreteValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition
+                value) {
+          if (parentDiscreteValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 2
+                && parentValueCondition_
+                    != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                        .ConditionalParameterSpec.DiscreteValueCondition.getDefaultInstance()) {
+              parentValueCondition_ =
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .DiscreteValueCondition.newBuilder(
+                          (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                  .ConditionalParameterSpec.DiscreteValueCondition)
+                              parentValueCondition_)
+                      .mergeFrom(value)
+                      .buildPartial();
+            } else {
+              parentValueCondition_ = value;
+            }
+            onChanged();
+          } else {
+            if (parentValueConditionCase_ == 2) {
+              parentDiscreteValuesBuilder_.mergeFrom(value);
+            }
+            parentDiscreteValuesBuilder_.setMessage(value);
+          }
+          parentValueConditionCase_ = 2;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         */
+        public Builder clearParentDiscreteValues() {
+          if (parentDiscreteValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 2) {
+              parentValueConditionCase_ = 0;
+              parentValueCondition_ = null;
+              onChanged();
+            }
+          } else {
+            if (parentValueConditionCase_ == 2) {
+              parentValueConditionCase_ = 0;
+              parentValueCondition_ = null;
+            }
+            parentDiscreteValuesBuilder_.clear();
+          }
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         */
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueCondition.Builder
+            getParentDiscreteValuesBuilder() {
+          return getParentDiscreteValuesFieldBuilder().getBuilder();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         */
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueConditionOrBuilder
+            getParentDiscreteValuesOrBuilder() {
+          if ((parentValueConditionCase_ == 2) && (parentDiscreteValuesBuilder_ != null)) {
+            return parentDiscreteValuesBuilder_.getMessageOrBuilder();
+          } else {
+            if (parentValueConditionCase_ == 2) {
+              return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .ConditionalParameterSpec.DiscreteValueCondition)
+                  parentValueCondition_;
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .DiscreteValueCondition.getDefaultInstance();
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `DISCRETE` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition parent_discrete_values = 2;
+         * </code>
+         */
+        private com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueCondition.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .DiscreteValueConditionOrBuilder>
+            getParentDiscreteValuesFieldBuilder() {
+          if (parentDiscreteValuesBuilder_ == null) {
+            if (!(parentValueConditionCase_ == 2)) {
+              parentValueCondition_ =
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .DiscreteValueCondition.getDefaultInstance();
+            }
+            parentDiscreteValuesBuilder_ =
+                new com.google.protobuf.SingleFieldBuilderV3<
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .DiscreteValueCondition,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .DiscreteValueCondition.Builder,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .DiscreteValueConditionOrBuilder>(
+                    (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                            .DiscreteValueCondition)
+                        parentValueCondition_,
+                    getParentForChildren(),
+                    isClean());
+            parentValueCondition_ = null;
+          }
+          parentValueConditionCase_ = 2;
+          onChanged();
+          ;
+          return parentDiscreteValuesBuilder_;
+        }
+
+        private com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueConditionOrBuilder>
+            parentIntValuesBuilder_;
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         *
+         * @return Whether the parentIntValues field is set.
+         */
+        @java.lang.Override
+        public boolean hasParentIntValues() {
+          return parentValueConditionCase_ == 3;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         *
+         * @return The parentIntValues.
+         */
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueCondition
+            getParentIntValues() {
+          if (parentIntValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 3) {
+              return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .ConditionalParameterSpec.IntValueCondition)
+                  parentValueCondition_;
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueCondition.getDefaultInstance();
+          } else {
+            if (parentValueConditionCase_ == 3) {
+              return parentIntValuesBuilder_.getMessage();
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueCondition.getDefaultInstance();
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         */
+        public Builder setParentIntValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition
+                value) {
+          if (parentIntValuesBuilder_ == null) {
+            if (value == null) {
+              throw new NullPointerException();
+            }
+            parentValueCondition_ = value;
+            onChanged();
+          } else {
+            parentIntValuesBuilder_.setMessage(value);
+          }
+          parentValueConditionCase_ = 3;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         */
+        public Builder setParentIntValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition.Builder
+                builderForValue) {
+          if (parentIntValuesBuilder_ == null) {
+            parentValueCondition_ = builderForValue.build();
+            onChanged();
+          } else {
+            parentIntValuesBuilder_.setMessage(builderForValue.build());
+          }
+          parentValueConditionCase_ = 3;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         */
+        public Builder mergeParentIntValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition
+                value) {
+          if (parentIntValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 3
+                && parentValueCondition_
+                    != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                        .ConditionalParameterSpec.IntValueCondition.getDefaultInstance()) {
+              parentValueCondition_ =
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .IntValueCondition.newBuilder(
+                          (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                  .ConditionalParameterSpec.IntValueCondition)
+                              parentValueCondition_)
+                      .mergeFrom(value)
+                      .buildPartial();
+            } else {
+              parentValueCondition_ = value;
+            }
+            onChanged();
+          } else {
+            if (parentValueConditionCase_ == 3) {
+              parentIntValuesBuilder_.mergeFrom(value);
+            }
+            parentIntValuesBuilder_.setMessage(value);
+          }
+          parentValueConditionCase_ = 3;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         */
+        public Builder clearParentIntValues() {
+          if (parentIntValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 3) {
+              parentValueConditionCase_ = 0;
+              parentValueCondition_ = null;
+              onChanged();
+            }
+          } else {
+            if (parentValueConditionCase_ == 3) {
+              parentValueConditionCase_ = 0;
+              parentValueCondition_ = null;
+            }
+            parentIntValuesBuilder_.clear();
+          }
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         */
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueCondition.Builder
+            getParentIntValuesBuilder() {
+          return getParentIntValuesFieldBuilder().getBuilder();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         */
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueConditionOrBuilder
+            getParentIntValuesOrBuilder() {
+          if ((parentValueConditionCase_ == 3) && (parentIntValuesBuilder_ != null)) {
+            return parentIntValuesBuilder_.getMessageOrBuilder();
+          } else {
+            if (parentValueConditionCase_ == 3) {
+              return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .ConditionalParameterSpec.IntValueCondition)
+                  parentValueCondition_;
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .IntValueCondition.getDefaultInstance();
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of `INTEGER`
+         * type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition parent_int_values = 3;
+         * </code>
+         */
+        private com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueCondition.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .IntValueConditionOrBuilder>
+            getParentIntValuesFieldBuilder() {
+          if (parentIntValuesBuilder_ == null) {
+            if (!(parentValueConditionCase_ == 3)) {
+              parentValueCondition_ =
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .IntValueCondition.getDefaultInstance();
+            }
+            parentIntValuesBuilder_ =
+                new com.google.protobuf.SingleFieldBuilderV3<
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .IntValueCondition,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .IntValueCondition.Builder,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .IntValueConditionOrBuilder>(
+                    (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                            .IntValueCondition)
+                        parentValueCondition_,
+                    getParentForChildren(),
+                    isClean());
+            parentValueCondition_ = null;
+          }
+          parentValueConditionCase_ = 3;
+          onChanged();
+          ;
+          return parentIntValuesBuilder_;
+        }
+
+        private com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueConditionOrBuilder>
+            parentCategoricalValuesBuilder_;
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         *
+         * @return Whether the parentCategoricalValues field is set.
+         */
+        @java.lang.Override
+        public boolean hasParentCategoricalValues() {
+          return parentValueConditionCase_ == 4;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         *
+         * @return The parentCategoricalValues.
+         */
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueCondition
+            getParentCategoricalValues() {
+          if (parentCategoricalValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 4) {
+              return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .ConditionalParameterSpec.CategoricalValueCondition)
+                  parentValueCondition_;
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueCondition.getDefaultInstance();
+          } else {
+            if (parentValueConditionCase_ == 4) {
+              return parentCategoricalValuesBuilder_.getMessage();
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueCondition.getDefaultInstance();
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         */
+        public Builder setParentCategoricalValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition
+                value) {
+          if (parentCategoricalValuesBuilder_ == null) {
+            if (value == null) {
+              throw new NullPointerException();
+            }
+            parentValueCondition_ = value;
+            onChanged();
+          } else {
+            parentCategoricalValuesBuilder_.setMessage(value);
+          }
+          parentValueConditionCase_ = 4;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         */
+        public Builder setParentCategoricalValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition.Builder
+                builderForValue) {
+          if (parentCategoricalValuesBuilder_ == null) {
+            parentValueCondition_ = builderForValue.build();
+            onChanged();
+          } else {
+            parentCategoricalValuesBuilder_.setMessage(builderForValue.build());
+          }
+          parentValueConditionCase_ = 4;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         */
+        public Builder mergeParentCategoricalValues(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition
+                value) {
+          if (parentCategoricalValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 4
+                && parentValueCondition_
+                    != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                        .ConditionalParameterSpec.CategoricalValueCondition.getDefaultInstance()) {
+              parentValueCondition_ =
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .CategoricalValueCondition.newBuilder(
+                          (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                  .ConditionalParameterSpec.CategoricalValueCondition)
+                              parentValueCondition_)
+                      .mergeFrom(value)
+                      .buildPartial();
+            } else {
+              parentValueCondition_ = value;
+            }
+            onChanged();
+          } else {
+            if (parentValueConditionCase_ == 4) {
+              parentCategoricalValuesBuilder_.mergeFrom(value);
+            }
+            parentCategoricalValuesBuilder_.setMessage(value);
+          }
+          parentValueConditionCase_ = 4;
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         */
+        public Builder clearParentCategoricalValues() {
+          if (parentCategoricalValuesBuilder_ == null) {
+            if (parentValueConditionCase_ == 4) {
+              parentValueConditionCase_ = 0;
+              parentValueCondition_ = null;
+              onChanged();
+            }
+          } else {
+            if (parentValueConditionCase_ == 4) {
+              parentValueConditionCase_ = 0;
+              parentValueCondition_ = null;
+            }
+            parentCategoricalValuesBuilder_.clear();
+          }
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         */
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueCondition.Builder
+            getParentCategoricalValuesBuilder() {
+          return getParentCategoricalValuesFieldBuilder().getBuilder();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         */
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueConditionOrBuilder
+            getParentCategoricalValuesOrBuilder() {
+          if ((parentValueConditionCase_ == 4) && (parentCategoricalValuesBuilder_ != null)) {
+            return parentCategoricalValuesBuilder_.getMessageOrBuilder();
+          } else {
+            if (parentValueConditionCase_ == 4) {
+              return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .ConditionalParameterSpec.CategoricalValueCondition)
+                  parentValueCondition_;
+            }
+            return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                .CategoricalValueCondition.getDefaultInstance();
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The spec for matching values from a parent parameter of
+         * `CATEGORICAL` type.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition parent_categorical_values = 4;
+         * </code>
+         */
+        private com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueCondition.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .CategoricalValueConditionOrBuilder>
+            getParentCategoricalValuesFieldBuilder() {
+          if (parentCategoricalValuesBuilder_ == null) {
+            if (!(parentValueConditionCase_ == 4)) {
+              parentValueCondition_ =
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .CategoricalValueCondition.getDefaultInstance();
+            }
+            parentCategoricalValuesBuilder_ =
+                new com.google.protobuf.SingleFieldBuilderV3<
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .CategoricalValueCondition,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .CategoricalValueCondition.Builder,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                        .CategoricalValueConditionOrBuilder>(
+                    (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                            .CategoricalValueCondition)
+                        parentValueCondition_,
+                    getParentForChildren(),
+                    isClean());
+            parentValueCondition_ = null;
+          }
+          parentValueConditionCase_ = 4;
+          onChanged();
+          ;
+          return parentCategoricalValuesBuilder_;
+        }
+
+        private com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameterSpec_;
+        private com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>
+            parameterSpecBuilder_;
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         *
+         * @return Whether the parameterSpec field is set.
+         */
+        public boolean hasParameterSpec() {
+          return parameterSpecBuilder_ != null || parameterSpec_ != null;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         *
+         * @return The parameterSpec.
+         */
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getParameterSpec() {
+          if (parameterSpecBuilder_ == null) {
+            return parameterSpec_ == null
+                ? com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.getDefaultInstance()
+                : parameterSpec_;
+          } else {
+            return parameterSpecBuilder_.getMessage();
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         */
+        public Builder setParameterSpec(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec value) {
+          if (parameterSpecBuilder_ == null) {
+            if (value == null) {
+              throw new NullPointerException();
+            }
+            parameterSpec_ = value;
+            onChanged();
+          } else {
+            parameterSpecBuilder_.setMessage(value);
+          }
+
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         */
+        public Builder setParameterSpec(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder builderForValue) {
+          if (parameterSpecBuilder_ == null) {
+            parameterSpec_ = builderForValue.build();
+            onChanged();
+          } else {
+            parameterSpecBuilder_.setMessage(builderForValue.build());
+          }
+
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         */
+        public Builder mergeParameterSpec(
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec value) {
+          if (parameterSpecBuilder_ == null) {
+            if (parameterSpec_ != null) {
+              parameterSpec_ =
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.newBuilder(parameterSpec_)
+                      .mergeFrom(value)
+                      .buildPartial();
+            } else {
+              parameterSpec_ = value;
+            }
+            onChanged();
+          } else {
+            parameterSpecBuilder_.mergeFrom(value);
+          }
+
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         */
+        public Builder clearParameterSpec() {
+          if (parameterSpecBuilder_ == null) {
+            parameterSpec_ = null;
+            onChanged();
+          } else {
+            parameterSpec_ = null;
+            parameterSpecBuilder_ = null;
+          }
+
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         */
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder
+            getParameterSpecBuilder() {
+
+          onChanged();
+          return getParameterSpecFieldBuilder().getBuilder();
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         */
+        public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder
+            getParameterSpecOrBuilder() {
+          if (parameterSpecBuilder_ != null) {
+            return parameterSpecBuilder_.getMessageOrBuilder();
+          } else {
+            return parameterSpec_ == null
+                ? com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.getDefaultInstance()
+                : parameterSpec_;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * Required. The spec for a conditional parameter.
+         * </pre>
+         *
+         * <code>
+         * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameter_spec = 1 [(.google.api.field_behavior) = REQUIRED];
+         * </code>
+         */
+        private com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>
+            getParameterSpecFieldBuilder() {
+          if (parameterSpecBuilder_ == null) {
+            parameterSpecBuilder_ =
+                new com.google.protobuf.SingleFieldBuilderV3<
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder,
+                    com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>(
+                    getParameterSpec(), getParentForChildren(), isClean());
+            parameterSpec_ = null;
+          }
+          return parameterSpecBuilder_;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec)
+      private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+              .ConditionalParameterSpec
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec();
+      }
+
+      public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<ConditionalParameterSpec> PARSER =
+          new com.google.protobuf.AbstractParser<ConditionalParameterSpec>() {
+            @java.lang.Override
+            public ConditionalParameterSpec parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new ConditionalParameterSpec(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<ConditionalParameterSpec> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<ConditionalParameterSpec> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    private int parameterValueSpecCase_ = 0;
+    private java.lang.Object parameterValueSpec_;
+
+    public enum ParameterValueSpecCase
+        implements
+            com.google.protobuf.Internal.EnumLite,
+            com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+      DOUBLE_VALUE_SPEC(2),
+      INTEGER_VALUE_SPEC(3),
+      CATEGORICAL_VALUE_SPEC(4),
+      DISCRETE_VALUE_SPEC(5),
+      PARAMETERVALUESPEC_NOT_SET(0);
+      private final int value;
+
+      private ParameterValueSpecCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @param value The number of the enum to look for.
+       * @return The enum associated with the given number.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static ParameterValueSpecCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static ParameterValueSpecCase forNumber(int value) {
+        switch (value) {
+          case 2:
+            return DOUBLE_VALUE_SPEC;
+          case 3:
+            return INTEGER_VALUE_SPEC;
+          case 4:
+            return CATEGORICAL_VALUE_SPEC;
+          case 5:
+            return DISCRETE_VALUE_SPEC;
+          case 0:
+            return PARAMETERVALUESPEC_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public ParameterValueSpecCase getParameterValueSpecCase() {
+      return ParameterValueSpecCase.forNumber(parameterValueSpecCase_);
+    }
+
+    public static final int DOUBLE_VALUE_SPEC_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DOUBLE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+     * </code>
+     *
+     * @return Whether the doubleValueSpec field is set.
+     */
+    @java.lang.Override
+    public boolean hasDoubleValueSpec() {
+      return parameterValueSpecCase_ == 2;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DOUBLE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+     * </code>
+     *
+     * @return The doubleValueSpec.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+        getDoubleValueSpec() {
+      if (parameterValueSpecCase_ == 2) {
+        return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+            parameterValueSpec_;
+      }
+      return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          .getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DOUBLE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpecOrBuilder
+        getDoubleValueSpecOrBuilder() {
+      if (parameterValueSpecCase_ == 2) {
+        return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+            parameterValueSpec_;
+      }
+      return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          .getDefaultInstance();
+    }
+
+    public static final int INTEGER_VALUE_SPEC_FIELD_NUMBER = 3;
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for an 'INTEGER' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+     * </code>
+     *
+     * @return Whether the integerValueSpec field is set.
+     */
+    @java.lang.Override
+    public boolean hasIntegerValueSpec() {
+      return parameterValueSpecCase_ == 3;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for an 'INTEGER' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+     * </code>
+     *
+     * @return The integerValueSpec.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+        getIntegerValueSpec() {
+      if (parameterValueSpecCase_ == 3) {
+        return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+            parameterValueSpec_;
+      }
+      return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          .getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for an 'INTEGER' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpecOrBuilder
+        getIntegerValueSpecOrBuilder() {
+      if (parameterValueSpecCase_ == 3) {
+        return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+            parameterValueSpec_;
+      }
+      return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          .getDefaultInstance();
+    }
+
+    public static final int CATEGORICAL_VALUE_SPEC_FIELD_NUMBER = 4;
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'CATEGORICAL' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+     * </code>
+     *
+     * @return Whether the categoricalValueSpec field is set.
+     */
+    @java.lang.Override
+    public boolean hasCategoricalValueSpec() {
+      return parameterValueSpecCase_ == 4;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'CATEGORICAL' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+     * </code>
+     *
+     * @return The categoricalValueSpec.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+        getCategoricalValueSpec() {
+      if (parameterValueSpecCase_ == 4) {
+        return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+            parameterValueSpec_;
+      }
+      return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          .getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'CATEGORICAL' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpecOrBuilder
+        getCategoricalValueSpecOrBuilder() {
+      if (parameterValueSpecCase_ == 4) {
+        return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+            parameterValueSpec_;
+      }
+      return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          .getDefaultInstance();
+    }
+
+    public static final int DISCRETE_VALUE_SPEC_FIELD_NUMBER = 5;
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DISCRETE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+     * </code>
+     *
+     * @return Whether the discreteValueSpec field is set.
+     */
+    @java.lang.Override
+    public boolean hasDiscreteValueSpec() {
+      return parameterValueSpecCase_ == 5;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DISCRETE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+     * </code>
+     *
+     * @return The discreteValueSpec.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+        getDiscreteValueSpec() {
+      if (parameterValueSpecCase_ == 5) {
+        return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+            parameterValueSpec_;
+      }
+      return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          .getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The value spec for a 'DISCRETE' parameter.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpecOrBuilder
+        getDiscreteValueSpecOrBuilder() {
+      if (parameterValueSpecCase_ == 5) {
+        return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+            parameterValueSpec_;
+      }
+      return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          .getDefaultInstance();
+    }
+
+    public static final int PARAMETER_ID_FIELD_NUMBER = 1;
+    private volatile java.lang.Object parameterId_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+     * amongst all ParameterSpecs.
+     * </pre>
+     *
+     * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The parameterId.
+     */
+    @java.lang.Override
+    public java.lang.String getParameterId() {
+      java.lang.Object ref = parameterId_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parameterId_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+     * amongst all ParameterSpecs.
+     * </pre>
+     *
+     * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for parameterId.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getParameterIdBytes() {
+      java.lang.Object ref = parameterId_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parameterId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int SCALE_TYPE_FIELD_NUMBER = 6;
+    private int scaleType_;
+    /**
+     *
+     *
+     * <pre>
+     * How the parameter should be scaled.
+     * Leave unset for `CATEGORICAL` parameters.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+     *
+     * @return The enum numeric value on the wire for scaleType.
+     */
+    @java.lang.Override
+    public int getScaleTypeValue() {
+      return scaleType_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * How the parameter should be scaled.
+     * Leave unset for `CATEGORICAL` parameters.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+     *
+     * @return The scaleType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType getScaleType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType result =
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType.valueOf(scaleType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType.UNRECOGNIZED
+          : result;
+    }
+
+    public static final int CONDITIONAL_PARAMETER_SPECS_FIELD_NUMBER = 10;
+    private java.util.List<
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec>
+        conditionalParameterSpecs_;
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    @java.lang.Override
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec>
+        getConditionalParameterSpecsList() {
+      return conditionalParameterSpecs_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    @java.lang.Override
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                    .ConditionalParameterSpecOrBuilder>
+        getConditionalParameterSpecsOrBuilderList() {
+      return conditionalParameterSpecs_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    @java.lang.Override
+    public int getConditionalParameterSpecsCount() {
+      return conditionalParameterSpecs_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+        getConditionalParameterSpecs(int index) {
+      return conditionalParameterSpecs_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A conditional parameter node is active if the parameter's value matches
+     * the conditional node's parent_value_condition.
+     * If two items in conditional_parameter_specs have the same name, they
+     * must have disjoint parent_value_condition.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpecOrBuilder
+        getConditionalParameterSpecsOrBuilder(int index) {
+      return conditionalParameterSpecs_.get(index);
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getParameterIdBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parameterId_);
+      }
+      if (parameterValueSpecCase_ == 2) {
+        output.writeMessage(
+            2,
+            (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                parameterValueSpec_);
+      }
+      if (parameterValueSpecCase_ == 3) {
+        output.writeMessage(
+            3,
+            (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                parameterValueSpec_);
+      }
+      if (parameterValueSpecCase_ == 4) {
+        output.writeMessage(
+            4,
+            (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                parameterValueSpec_);
+      }
+      if (parameterValueSpecCase_ == 5) {
+        output.writeMessage(
+            5,
+            (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                parameterValueSpec_);
+      }
+      if (scaleType_
+          != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType.SCALE_TYPE_UNSPECIFIED
+              .getNumber()) {
+        output.writeEnum(6, scaleType_);
+      }
+      for (int i = 0; i < conditionalParameterSpecs_.size(); i++) {
+        output.writeMessage(10, conditionalParameterSpecs_.get(i));
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getParameterIdBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parameterId_);
+      }
+      if (parameterValueSpecCase_ == 2) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                2,
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                    parameterValueSpec_);
+      }
+      if (parameterValueSpecCase_ == 3) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                3,
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                    parameterValueSpec_);
+      }
+      if (parameterValueSpecCase_ == 4) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                4,
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                    parameterValueSpec_);
+      }
+      if (parameterValueSpecCase_ == 5) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                5,
+                (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                    parameterValueSpec_);
+      }
+      if (scaleType_
+          != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType.SCALE_TYPE_UNSPECIFIED
+              .getNumber()) {
+        size += com.google.protobuf.CodedOutputStream.computeEnumSize(6, scaleType_);
+      }
+      for (int i = 0; i < conditionalParameterSpecs_.size(); i++) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
+                10, conditionalParameterSpecs_.get(i));
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj instanceof com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec other =
+          (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec) obj;
+
+      if (!getParameterId().equals(other.getParameterId())) return false;
+      if (scaleType_ != other.scaleType_) return false;
+      if (!getConditionalParameterSpecsList().equals(other.getConditionalParameterSpecsList()))
+        return false;
+      if (!getParameterValueSpecCase().equals(other.getParameterValueSpecCase())) return false;
+      switch (parameterValueSpecCase_) {
+        case 2:
+          if (!getDoubleValueSpec().equals(other.getDoubleValueSpec())) return false;
+          break;
+        case 3:
+          if (!getIntegerValueSpec().equals(other.getIntegerValueSpec())) return false;
+          break;
+        case 4:
+          if (!getCategoricalValueSpec().equals(other.getCategoricalValueSpec())) return false;
+          break;
+        case 5:
+          if (!getDiscreteValueSpec().equals(other.getDiscreteValueSpec())) return false;
+          break;
+        case 0:
+        default:
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + PARAMETER_ID_FIELD_NUMBER;
+      hash = (53 * hash) + getParameterId().hashCode();
+      hash = (37 * hash) + SCALE_TYPE_FIELD_NUMBER;
+      hash = (53 * hash) + scaleType_;
+      if (getConditionalParameterSpecsCount() > 0) {
+        hash = (37 * hash) + CONDITIONAL_PARAMETER_SPECS_FIELD_NUMBER;
+        hash = (53 * hash) + getConditionalParameterSpecsList().hashCode();
+      }
+      switch (parameterValueSpecCase_) {
+        case 2:
+          hash = (37 * hash) + DOUBLE_VALUE_SPEC_FIELD_NUMBER;
+          hash = (53 * hash) + getDoubleValueSpec().hashCode();
+          break;
+        case 3:
+          hash = (37 * hash) + INTEGER_VALUE_SPEC_FIELD_NUMBER;
+          hash = (53 * hash) + getIntegerValueSpec().hashCode();
+          break;
+        case 4:
+          hash = (37 * hash) + CATEGORICAL_VALUE_SPEC_FIELD_NUMBER;
+          hash = (53 * hash) + getCategoricalValueSpec().hashCode();
+          break;
+        case 5:
+          hash = (37 * hash) + DISCRETE_VALUE_SPEC_FIELD_NUMBER;
+          hash = (53 * hash) + getDiscreteValueSpec().hashCode();
+          break;
+        case 0:
+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        com.google.protobuf.ByteString data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        com.google.protobuf.ByteString data,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(byte[] data)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseDelimitedFrom(
+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents a single parameter to optimize.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec.ParameterSpec}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec.ParameterSpec)
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.class,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+          getConditionalParameterSpecsFieldBuilder();
+        }
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        parameterId_ = "";
+
+        scaleType_ = 0;
+
+        if (conditionalParameterSpecsBuilder_ == null) {
+          conditionalParameterSpecs_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          conditionalParameterSpecsBuilder_.clear();
+        }
+        parameterValueSpecCase_ = 0;
+        parameterValueSpec_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_StudySpec_ParameterSpec_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec build() {
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec buildPartial() {
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec result =
+            new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec(this);
+        int from_bitField0_ = bitField0_;
+        if (parameterValueSpecCase_ == 2) {
+          if (doubleValueSpecBuilder_ == null) {
+            result.parameterValueSpec_ = parameterValueSpec_;
+          } else {
+            result.parameterValueSpec_ = doubleValueSpecBuilder_.build();
+          }
+        }
+        if (parameterValueSpecCase_ == 3) {
+          if (integerValueSpecBuilder_ == null) {
+            result.parameterValueSpec_ = parameterValueSpec_;
+          } else {
+            result.parameterValueSpec_ = integerValueSpecBuilder_.build();
+          }
+        }
+        if (parameterValueSpecCase_ == 4) {
+          if (categoricalValueSpecBuilder_ == null) {
+            result.parameterValueSpec_ = parameterValueSpec_;
+          } else {
+            result.parameterValueSpec_ = categoricalValueSpecBuilder_.build();
+          }
+        }
+        if (parameterValueSpecCase_ == 5) {
+          if (discreteValueSpecBuilder_ == null) {
+            result.parameterValueSpec_ = parameterValueSpec_;
+          } else {
+            result.parameterValueSpec_ = discreteValueSpecBuilder_.build();
+          }
+        }
+        result.parameterId_ = parameterId_;
+        result.scaleType_ = scaleType_;
+        if (conditionalParameterSpecsBuilder_ == null) {
+          if (((bitField0_ & 0x00000001) != 0)) {
+            conditionalParameterSpecs_ =
+                java.util.Collections.unmodifiableList(conditionalParameterSpecs_);
+            bitField0_ = (bitField0_ & ~0x00000001);
+          }
+          result.conditionalParameterSpecs_ = conditionalParameterSpecs_;
+        } else {
+          result.conditionalParameterSpecs_ = conditionalParameterSpecsBuilder_.build();
+        }
+        result.parameterValueSpecCase_ = parameterValueSpecCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec other) {
+        if (other == com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.getDefaultInstance())
+          return this;
+        if (!other.getParameterId().isEmpty()) {
+          parameterId_ = other.parameterId_;
+          onChanged();
+        }
+        if (other.scaleType_ != 0) {
+          setScaleTypeValue(other.getScaleTypeValue());
+        }
+        if (conditionalParameterSpecsBuilder_ == null) {
+          if (!other.conditionalParameterSpecs_.isEmpty()) {
+            if (conditionalParameterSpecs_.isEmpty()) {
+              conditionalParameterSpecs_ = other.conditionalParameterSpecs_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+            } else {
+              ensureConditionalParameterSpecsIsMutable();
+              conditionalParameterSpecs_.addAll(other.conditionalParameterSpecs_);
+            }
+            onChanged();
+          }
+        } else {
+          if (!other.conditionalParameterSpecs_.isEmpty()) {
+            if (conditionalParameterSpecsBuilder_.isEmpty()) {
+              conditionalParameterSpecsBuilder_.dispose();
+              conditionalParameterSpecsBuilder_ = null;
+              conditionalParameterSpecs_ = other.conditionalParameterSpecs_;
+              bitField0_ = (bitField0_ & ~0x00000001);
+              conditionalParameterSpecsBuilder_ =
+                  com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                      ? getConditionalParameterSpecsFieldBuilder()
+                      : null;
+            } else {
+              conditionalParameterSpecsBuilder_.addAllMessages(other.conditionalParameterSpecs_);
+            }
+          }
+        }
+        switch (other.getParameterValueSpecCase()) {
+          case DOUBLE_VALUE_SPEC:
+            {
+              mergeDoubleValueSpec(other.getDoubleValueSpec());
+              break;
+            }
+          case INTEGER_VALUE_SPEC:
+            {
+              mergeIntegerValueSpec(other.getIntegerValueSpec());
+              break;
+            }
+          case CATEGORICAL_VALUE_SPEC:
+            {
+              mergeCategoricalValueSpec(other.getCategoricalValueSpec());
+              break;
+            }
+          case DISCRETE_VALUE_SPEC:
+            {
+              mergeDiscreteValueSpec(other.getDiscreteValueSpec());
+              break;
+            }
+          case PARAMETERVALUESPEC_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int parameterValueSpecCase_ = 0;
+      private java.lang.Object parameterValueSpec_;
+
+      public ParameterValueSpecCase getParameterValueSpecCase() {
+        return ParameterValueSpecCase.forNumber(parameterValueSpecCase_);
+      }
+
+      public Builder clearParameterValueSpec() {
+        parameterValueSpecCase_ = 0;
+        parameterValueSpec_ = null;
+        onChanged();
+        return this;
+      }
+
+      private int bitField0_;
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpecOrBuilder>
+          doubleValueSpecBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       *
+       * @return Whether the doubleValueSpec field is set.
+       */
+      @java.lang.Override
+      public boolean hasDoubleValueSpec() {
+        return parameterValueSpecCase_ == 2;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       *
+       * @return The doubleValueSpec.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+          getDoubleValueSpec() {
+        if (doubleValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 2) {
+            return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                parameterValueSpec_;
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+              .getDefaultInstance();
+        } else {
+          if (parameterValueSpecCase_ == 2) {
+            return doubleValueSpecBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+              .getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       */
+      public Builder setDoubleValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec value) {
+        if (doubleValueSpecBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          parameterValueSpec_ = value;
+          onChanged();
+        } else {
+          doubleValueSpecBuilder_.setMessage(value);
+        }
+        parameterValueSpecCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       */
+      public Builder setDoubleValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder
+              builderForValue) {
+        if (doubleValueSpecBuilder_ == null) {
+          parameterValueSpec_ = builderForValue.build();
+          onChanged();
+        } else {
+          doubleValueSpecBuilder_.setMessage(builderForValue.build());
+        }
+        parameterValueSpecCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       */
+      public Builder mergeDoubleValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec value) {
+        if (doubleValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 2
+              && parameterValueSpec_
+                  != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+                      .getDefaultInstance()) {
+            parameterValueSpec_ =
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.newBuilder(
+                        (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                            parameterValueSpec_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            parameterValueSpec_ = value;
+          }
+          onChanged();
+        } else {
+          if (parameterValueSpecCase_ == 2) {
+            doubleValueSpecBuilder_.mergeFrom(value);
+          }
+          doubleValueSpecBuilder_.setMessage(value);
+        }
+        parameterValueSpecCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       */
+      public Builder clearDoubleValueSpec() {
+        if (doubleValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 2) {
+            parameterValueSpecCase_ = 0;
+            parameterValueSpec_ = null;
+            onChanged();
+          }
+        } else {
+          if (parameterValueSpecCase_ == 2) {
+            parameterValueSpecCase_ = 0;
+            parameterValueSpec_ = null;
+          }
+          doubleValueSpecBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder
+          getDoubleValueSpecBuilder() {
+        return getDoubleValueSpecFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpecOrBuilder
+          getDoubleValueSpecOrBuilder() {
+        if ((parameterValueSpecCase_ == 2) && (doubleValueSpecBuilder_ != null)) {
+          return doubleValueSpecBuilder_.getMessageOrBuilder();
+        } else {
+          if (parameterValueSpecCase_ == 2) {
+            return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                parameterValueSpec_;
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+              .getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DOUBLE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec double_value_spec = 2;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpecOrBuilder>
+          getDoubleValueSpecFieldBuilder() {
+        if (doubleValueSpecBuilder_ == null) {
+          if (!(parameterValueSpecCase_ == 2)) {
+            parameterValueSpec_ =
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec
+                    .getDefaultInstance();
+          }
+          doubleValueSpecBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpecOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec)
+                      parameterValueSpec_,
+                  getParentForChildren(),
+                  isClean());
+          parameterValueSpec_ = null;
+        }
+        parameterValueSpecCase_ = 2;
+        onChanged();
+        ;
+        return doubleValueSpecBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpecOrBuilder>
+          integerValueSpecBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       *
+       * @return Whether the integerValueSpec field is set.
+       */
+      @java.lang.Override
+      public boolean hasIntegerValueSpec() {
+        return parameterValueSpecCase_ == 3;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       *
+       * @return The integerValueSpec.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+          getIntegerValueSpec() {
+        if (integerValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 3) {
+            return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                parameterValueSpec_;
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+              .getDefaultInstance();
+        } else {
+          if (parameterValueSpecCase_ == 3) {
+            return integerValueSpecBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+              .getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       */
+      public Builder setIntegerValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec value) {
+        if (integerValueSpecBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          parameterValueSpec_ = value;
+          onChanged();
+        } else {
+          integerValueSpecBuilder_.setMessage(value);
+        }
+        parameterValueSpecCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       */
+      public Builder setIntegerValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder
+              builderForValue) {
+        if (integerValueSpecBuilder_ == null) {
+          parameterValueSpec_ = builderForValue.build();
+          onChanged();
+        } else {
+          integerValueSpecBuilder_.setMessage(builderForValue.build());
+        }
+        parameterValueSpecCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       */
+      public Builder mergeIntegerValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec value) {
+        if (integerValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 3
+              && parameterValueSpec_
+                  != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+                      .getDefaultInstance()) {
+            parameterValueSpec_ =
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.newBuilder(
+                        (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                            parameterValueSpec_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            parameterValueSpec_ = value;
+          }
+          onChanged();
+        } else {
+          if (parameterValueSpecCase_ == 3) {
+            integerValueSpecBuilder_.mergeFrom(value);
+          }
+          integerValueSpecBuilder_.setMessage(value);
+        }
+        parameterValueSpecCase_ = 3;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       */
+      public Builder clearIntegerValueSpec() {
+        if (integerValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 3) {
+            parameterValueSpecCase_ = 0;
+            parameterValueSpec_ = null;
+            onChanged();
+          }
+        } else {
+          if (parameterValueSpecCase_ == 3) {
+            parameterValueSpecCase_ = 0;
+            parameterValueSpec_ = null;
+          }
+          integerValueSpecBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder
+          getIntegerValueSpecBuilder() {
+        return getIntegerValueSpecFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpecOrBuilder
+          getIntegerValueSpecOrBuilder() {
+        if ((parameterValueSpecCase_ == 3) && (integerValueSpecBuilder_ != null)) {
+          return integerValueSpecBuilder_.getMessageOrBuilder();
+        } else {
+          if (parameterValueSpecCase_ == 3) {
+            return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                parameterValueSpec_;
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+              .getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for an 'INTEGER' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec integer_value_spec = 3;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpecOrBuilder>
+          getIntegerValueSpecFieldBuilder() {
+        if (integerValueSpecBuilder_ == null) {
+          if (!(parameterValueSpecCase_ == 3)) {
+            parameterValueSpec_ =
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec
+                    .getDefaultInstance();
+          }
+          integerValueSpecBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpecOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec)
+                      parameterValueSpec_,
+                  getParentForChildren(),
+                  isClean());
+          parameterValueSpec_ = null;
+        }
+        parameterValueSpecCase_ = 3;
+        onChanged();
+        ;
+        return integerValueSpecBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpecOrBuilder>
+          categoricalValueSpecBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       *
+       * @return Whether the categoricalValueSpec field is set.
+       */
+      @java.lang.Override
+      public boolean hasCategoricalValueSpec() {
+        return parameterValueSpecCase_ == 4;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       *
+       * @return The categoricalValueSpec.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+          getCategoricalValueSpec() {
+        if (categoricalValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 4) {
+            return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                parameterValueSpec_;
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+              .getDefaultInstance();
+        } else {
+          if (parameterValueSpecCase_ == 4) {
+            return categoricalValueSpecBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+              .getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       */
+      public Builder setCategoricalValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec value) {
+        if (categoricalValueSpecBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          parameterValueSpec_ = value;
+          onChanged();
+        } else {
+          categoricalValueSpecBuilder_.setMessage(value);
+        }
+        parameterValueSpecCase_ = 4;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       */
+      public Builder setCategoricalValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.Builder
+              builderForValue) {
+        if (categoricalValueSpecBuilder_ == null) {
+          parameterValueSpec_ = builderForValue.build();
+          onChanged();
+        } else {
+          categoricalValueSpecBuilder_.setMessage(builderForValue.build());
+        }
+        parameterValueSpecCase_ = 4;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       */
+      public Builder mergeCategoricalValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec value) {
+        if (categoricalValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 4
+              && parameterValueSpec_
+                  != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                      .getDefaultInstance()) {
+            parameterValueSpec_ =
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                    .newBuilder(
+                        (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                                .CategoricalValueSpec)
+                            parameterValueSpec_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            parameterValueSpec_ = value;
+          }
+          onChanged();
+        } else {
+          if (parameterValueSpecCase_ == 4) {
+            categoricalValueSpecBuilder_.mergeFrom(value);
+          }
+          categoricalValueSpecBuilder_.setMessage(value);
+        }
+        parameterValueSpecCase_ = 4;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       */
+      public Builder clearCategoricalValueSpec() {
+        if (categoricalValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 4) {
+            parameterValueSpecCase_ = 0;
+            parameterValueSpec_ = null;
+            onChanged();
+          }
+        } else {
+          if (parameterValueSpecCase_ == 4) {
+            parameterValueSpecCase_ = 0;
+            parameterValueSpec_ = null;
+          }
+          categoricalValueSpecBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.Builder
+          getCategoricalValueSpecBuilder() {
+        return getCategoricalValueSpecFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpecOrBuilder
+          getCategoricalValueSpecOrBuilder() {
+        if ((parameterValueSpecCase_ == 4) && (categoricalValueSpecBuilder_ != null)) {
+          return categoricalValueSpecBuilder_.getMessageOrBuilder();
+        } else {
+          if (parameterValueSpecCase_ == 4) {
+            return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                parameterValueSpec_;
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+              .getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'CATEGORICAL' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec categorical_value_spec = 4;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpecOrBuilder>
+          getCategoricalValueSpecFieldBuilder() {
+        if (categoricalValueSpecBuilder_ == null) {
+          if (!(parameterValueSpecCase_ == 4)) {
+            parameterValueSpec_ =
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                    .getDefaultInstance();
+          }
+          categoricalValueSpecBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec
+                      .Builder,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .CategoricalValueSpecOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                      parameterValueSpec_,
+                  getParentForChildren(),
+                  isClean());
+          parameterValueSpec_ = null;
+        }
+        parameterValueSpecCase_ = 4;
+        onChanged();
+        ;
+        return categoricalValueSpecBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpecOrBuilder>
+          discreteValueSpecBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       *
+       * @return Whether the discreteValueSpec field is set.
+       */
+      @java.lang.Override
+      public boolean hasDiscreteValueSpec() {
+        return parameterValueSpecCase_ == 5;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       *
+       * @return The discreteValueSpec.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+          getDiscreteValueSpec() {
+        if (discreteValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 5) {
+            return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                parameterValueSpec_;
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+              .getDefaultInstance();
+        } else {
+          if (parameterValueSpecCase_ == 5) {
+            return discreteValueSpecBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+              .getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       */
+      public Builder setDiscreteValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec value) {
+        if (discreteValueSpecBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          parameterValueSpec_ = value;
+          onChanged();
+        } else {
+          discreteValueSpecBuilder_.setMessage(value);
+        }
+        parameterValueSpecCase_ = 5;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       */
+      public Builder setDiscreteValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder
+              builderForValue) {
+        if (discreteValueSpecBuilder_ == null) {
+          parameterValueSpec_ = builderForValue.build();
+          onChanged();
+        } else {
+          discreteValueSpecBuilder_.setMessage(builderForValue.build());
+        }
+        parameterValueSpecCase_ = 5;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       */
+      public Builder mergeDiscreteValueSpec(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec value) {
+        if (discreteValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 5
+              && parameterValueSpec_
+                  != com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+                      .getDefaultInstance()) {
+            parameterValueSpec_ =
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.newBuilder(
+                        (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                            parameterValueSpec_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            parameterValueSpec_ = value;
+          }
+          onChanged();
+        } else {
+          if (parameterValueSpecCase_ == 5) {
+            discreteValueSpecBuilder_.mergeFrom(value);
+          }
+          discreteValueSpecBuilder_.setMessage(value);
+        }
+        parameterValueSpecCase_ = 5;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       */
+      public Builder clearDiscreteValueSpec() {
+        if (discreteValueSpecBuilder_ == null) {
+          if (parameterValueSpecCase_ == 5) {
+            parameterValueSpecCase_ = 0;
+            parameterValueSpec_ = null;
+            onChanged();
+          }
+        } else {
+          if (parameterValueSpecCase_ == 5) {
+            parameterValueSpecCase_ = 0;
+            parameterValueSpec_ = null;
+          }
+          discreteValueSpecBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder
+          getDiscreteValueSpecBuilder() {
+        return getDiscreteValueSpecFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpecOrBuilder
+          getDiscreteValueSpecOrBuilder() {
+        if ((parameterValueSpecCase_ == 5) && (discreteValueSpecBuilder_ != null)) {
+          return discreteValueSpecBuilder_.getMessageOrBuilder();
+        } else {
+          if (parameterValueSpecCase_ == 5) {
+            return (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                parameterValueSpec_;
+          }
+          return com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+              .getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The value spec for a 'DISCRETE' parameter.
+       * </pre>
+       *
+       * <code>
+       * .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec discrete_value_spec = 5;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpecOrBuilder>
+          getDiscreteValueSpecFieldBuilder() {
+        if (discreteValueSpecBuilder_ == null) {
+          if (!(parameterValueSpecCase_ == 5)) {
+            parameterValueSpec_ =
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec
+                    .getDefaultInstance();
+          }
+          discreteValueSpecBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .DiscreteValueSpecOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                      parameterValueSpec_,
+                  getParentForChildren(),
+                  isClean());
+          parameterValueSpec_ = null;
+        }
+        parameterValueSpecCase_ = 5;
+        onChanged();
+        ;
+        return discreteValueSpecBuilder_;
+      }
+
+      private java.lang.Object parameterId_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+       * amongst all ParameterSpecs.
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The parameterId.
+       */
+      public java.lang.String getParameterId() {
+        java.lang.Object ref = parameterId_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          parameterId_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+       * amongst all ParameterSpecs.
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return The bytes for parameterId.
+       */
+      public com.google.protobuf.ByteString getParameterIdBytes() {
+        java.lang.Object ref = parameterId_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          parameterId_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+       * amongst all ParameterSpecs.
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The parameterId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setParameterId(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        parameterId_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+       * amongst all ParameterSpecs.
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearParameterId() {
+
+        parameterId_ = getDefaultInstance().getParameterId();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Required. The ID of the parameter. Must not contain whitespaces and must be unique
+       * amongst all ParameterSpecs.
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+       *
+       * @param value The bytes for parameterId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setParameterIdBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        parameterId_ = value;
+        onChanged();
+        return this;
+      }
+
+      private int scaleType_ = 0;
+      /**
+       *
+       *
+       * <pre>
+       * How the parameter should be scaled.
+       * Leave unset for `CATEGORICAL` parameters.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+       *
+       * @return The enum numeric value on the wire for scaleType.
+       */
+      @java.lang.Override
+      public int getScaleTypeValue() {
+        return scaleType_;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * How the parameter should be scaled.
+       * Leave unset for `CATEGORICAL` parameters.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+       *
+       * @param value The enum numeric value on the wire for scaleType to set.
+       * @return This builder for chaining.
+       */
+      public Builder setScaleTypeValue(int value) {
+
+        scaleType_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * How the parameter should be scaled.
+       * Leave unset for `CATEGORICAL` parameters.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+       *
+       * @return The scaleType.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType getScaleType() {
+        @SuppressWarnings("deprecation")
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType result =
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType.valueOf(scaleType_);
+        return result == null
+            ? com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType.UNRECOGNIZED
+            : result;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * How the parameter should be scaled.
+       * Leave unset for `CATEGORICAL` parameters.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+       *
+       * @param value The scaleType to set.
+       * @return This builder for chaining.
+       */
+      public Builder setScaleType(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        scaleType_ = value.getNumber();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * How the parameter should be scaled.
+       * Leave unset for `CATEGORICAL` parameters.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ScaleType scale_type = 6;</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearScaleType() {
+
+        scaleType_ = 0;
+        onChanged();
+        return this;
+      }
+
+      private java.util.List<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec>
+          conditionalParameterSpecs_ = java.util.Collections.emptyList();
+
+      private void ensureConditionalParameterSpecsIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          conditionalParameterSpecs_ =
+              new java.util.ArrayList<
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec>(
+                  conditionalParameterSpecs_);
+          bitField0_ |= 0x00000001;
+        }
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                  .ConditionalParameterSpecOrBuilder>
+          conditionalParameterSpecsBuilder_;
+
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec>
+          getConditionalParameterSpecsList() {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(conditionalParameterSpecs_);
+        } else {
+          return conditionalParameterSpecsBuilder_.getMessageList();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public int getConditionalParameterSpecsCount() {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          return conditionalParameterSpecs_.size();
+        } else {
+          return conditionalParameterSpecsBuilder_.getCount();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+          getConditionalParameterSpecs(int index) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          return conditionalParameterSpecs_.get(index);
+        } else {
+          return conditionalParameterSpecsBuilder_.getMessage(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder setConditionalParameterSpecs(
+          int index,
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec value) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureConditionalParameterSpecsIsMutable();
+          conditionalParameterSpecs_.set(index, value);
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder setConditionalParameterSpecs(
+          int index,
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.Builder
+              builderForValue) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          ensureConditionalParameterSpecsIsMutable();
+          conditionalParameterSpecs_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder addConditionalParameterSpecs(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec value) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureConditionalParameterSpecsIsMutable();
+          conditionalParameterSpecs_.add(value);
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder addConditionalParameterSpecs(
+          int index,
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec value) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureConditionalParameterSpecsIsMutable();
+          conditionalParameterSpecs_.add(index, value);
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder addConditionalParameterSpecs(
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.Builder
+              builderForValue) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          ensureConditionalParameterSpecsIsMutable();
+          conditionalParameterSpecs_.add(builderForValue.build());
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder addConditionalParameterSpecs(
+          int index,
+          com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.Builder
+              builderForValue) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          ensureConditionalParameterSpecsIsMutable();
+          conditionalParameterSpecs_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder addAllConditionalParameterSpecs(
+          java.lang.Iterable<
+                  ? extends
+                      com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                          .ConditionalParameterSpec>
+              values) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          ensureConditionalParameterSpecsIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(
+              values, conditionalParameterSpecs_);
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder clearConditionalParameterSpecs() {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          conditionalParameterSpecs_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public Builder removeConditionalParameterSpecs(int index) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          ensureConditionalParameterSpecsIsMutable();
+          conditionalParameterSpecs_.remove(index);
+          onChanged();
+        } else {
+          conditionalParameterSpecsBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.Builder
+          getConditionalParameterSpecsBuilder(int index) {
+        return getConditionalParameterSpecsFieldBuilder().getBuilder(index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+              .ConditionalParameterSpecOrBuilder
+          getConditionalParameterSpecsOrBuilder(int index) {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          return conditionalParameterSpecs_.get(index);
+        } else {
+          return conditionalParameterSpecsBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public java.util.List<
+              ? extends
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .ConditionalParameterSpecOrBuilder>
+          getConditionalParameterSpecsOrBuilderList() {
+        if (conditionalParameterSpecsBuilder_ != null) {
+          return conditionalParameterSpecsBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(conditionalParameterSpecs_);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.Builder
+          addConditionalParameterSpecsBuilder() {
+        return getConditionalParameterSpecsFieldBuilder()
+            .addBuilder(
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.Builder
+          addConditionalParameterSpecsBuilder(int index) {
+        return getConditionalParameterSpecsFieldBuilder()
+            .addBuilder(
+                index,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                    .getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A conditional parameter node is active if the parameter's value matches
+       * the conditional node's parent_value_condition.
+       * If two items in conditional_parameter_specs have the same name, they
+       * must have disjoint parent_value_condition.
+       * </pre>
+       *
+       * <code>
+       * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec conditional_parameter_specs = 10;
+       * </code>
+       */
+      public java.util.List<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .Builder>
+          getConditionalParameterSpecsBuilderList() {
+        return getConditionalParameterSpecsFieldBuilder().getBuilderList();
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                  .Builder,
+              com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                  .ConditionalParameterSpecOrBuilder>
+          getConditionalParameterSpecsFieldBuilder() {
+        if (conditionalParameterSpecsBuilder_ == null) {
+          conditionalParameterSpecsBuilder_ =
+              new com.google.protobuf.RepeatedFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                      .Builder,
+                  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec
+                      .ConditionalParameterSpecOrBuilder>(
+                  conditionalParameterSpecs_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          conditionalParameterSpecs_ = null;
+        }
+        return conditionalParameterSpecsBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec.ParameterSpec)
+    private static final com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec();
+    }
+
+    public static com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<ParameterSpec> PARSER =
+        new com.google.protobuf.AbstractParser<ParameterSpec>() {
+          @java.lang.Override
+          public ParameterSpec parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new ParameterSpec(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<ParameterSpec> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<ParameterSpec> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int METRICS_FIELD_NUMBER = 1;
+  private java.util.List<com.google.cloud.aiplatform.v1.StudySpec.MetricSpec> metrics_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.StudySpec.MetricSpec> getMetricsList() {
+    return metrics_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder>
+      getMetricsOrBuilderList() {
+    return metrics_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public int getMetricsCount() {
+    return metrics_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec getMetrics(int index) {
+    return metrics_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder getMetricsOrBuilder(
+      int index) {
+    return metrics_.get(index);
+  }
+
+  public static final int PARAMETERS_FIELD_NUMBER = 2;
+  private java.util.List<com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec> parameters_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec>
+      getParametersList() {
+    return parameters_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>
+      getParametersOrBuilderList() {
+    return parameters_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public int getParametersCount() {
+    return parameters_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getParameters(int index) {
+    return parameters_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder getParametersOrBuilder(
+      int index) {
+    return parameters_.get(index);
+  }
+
+  public static final int ALGORITHM_FIELD_NUMBER = 3;
+  private int algorithm_;
+  /**
+   *
+   *
+   * <pre>
+   * The search algorithm specified for the Study.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+   *
+   * @return The enum numeric value on the wire for algorithm.
+   */
+  @java.lang.Override
+  public int getAlgorithmValue() {
+    return algorithm_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The search algorithm specified for the Study.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+   *
+   * @return The algorithm.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec.Algorithm getAlgorithm() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.StudySpec.Algorithm result =
+        com.google.cloud.aiplatform.v1.StudySpec.Algorithm.valueOf(algorithm_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.StudySpec.Algorithm.UNRECOGNIZED
+        : result;
+  }
+
+  public static final int OBSERVATION_NOISE_FIELD_NUMBER = 6;
+  private int observationNoise_;
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The enum numeric value on the wire for observationNoise.
+   */
+  @java.lang.Override
+  public int getObservationNoiseValue() {
+    return observationNoise_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The observationNoise.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise getObservationNoise() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise result =
+        com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise.valueOf(observationNoise_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise.UNRECOGNIZED
+        : result;
+  }
+
+  public static final int MEASUREMENT_SELECTION_TYPE_FIELD_NUMBER = 7;
+  private int measurementSelectionType_;
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for measurementSelectionType.
+   */
+  @java.lang.Override
+  public int getMeasurementSelectionTypeValue() {
+    return measurementSelectionType_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The measurementSelectionType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType
+      getMeasurementSelectionType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType result =
+        com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType.valueOf(
+            measurementSelectionType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType.UNRECOGNIZED
+        : result;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    for (int i = 0; i < metrics_.size(); i++) {
+      output.writeMessage(1, metrics_.get(i));
+    }
+    for (int i = 0; i < parameters_.size(); i++) {
+      output.writeMessage(2, parameters_.get(i));
+    }
+    if (algorithm_
+        != com.google.cloud.aiplatform.v1.StudySpec.Algorithm.ALGORITHM_UNSPECIFIED.getNumber()) {
+      output.writeEnum(3, algorithm_);
+    }
+    if (observationNoise_
+        != com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise.OBSERVATION_NOISE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(6, observationNoise_);
+    }
+    if (measurementSelectionType_
+        != com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType
+            .MEASUREMENT_SELECTION_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(7, measurementSelectionType_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (int i = 0; i < metrics_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, metrics_.get(i));
+    }
+    for (int i = 0; i < parameters_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, parameters_.get(i));
+    }
+    if (algorithm_
+        != com.google.cloud.aiplatform.v1.StudySpec.Algorithm.ALGORITHM_UNSPECIFIED.getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(3, algorithm_);
+    }
+    if (observationNoise_
+        != com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise.OBSERVATION_NOISE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(6, observationNoise_);
+    }
+    if (measurementSelectionType_
+        != com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType
+            .MEASUREMENT_SELECTION_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(7, measurementSelectionType_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.StudySpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.StudySpec other = (com.google.cloud.aiplatform.v1.StudySpec) obj;
+
+    if (!getMetricsList().equals(other.getMetricsList())) return false;
+    if (!getParametersList().equals(other.getParametersList())) return false;
+    if (algorithm_ != other.algorithm_) return false;
+    if (observationNoise_ != other.observationNoise_) return false;
+    if (measurementSelectionType_ != other.measurementSelectionType_) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getMetricsCount() > 0) {
+      hash = (37 * hash) + METRICS_FIELD_NUMBER;
+      hash = (53 * hash) + getMetricsList().hashCode();
+    }
+    if (getParametersCount() > 0) {
+      hash = (37 * hash) + PARAMETERS_FIELD_NUMBER;
+      hash = (53 * hash) + getParametersList().hashCode();
+    }
+    hash = (37 * hash) + ALGORITHM_FIELD_NUMBER;
+    hash = (53 * hash) + algorithm_;
+    hash = (37 * hash) + OBSERVATION_NOISE_FIELD_NUMBER;
+    hash = (53 * hash) + observationNoise_;
+    hash = (37 * hash) + MEASUREMENT_SELECTION_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + measurementSelectionType_;
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.StudySpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents specification of a Study.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.StudySpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.StudySpec)
+      com.google.cloud.aiplatform.v1.StudySpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_StudySpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_StudySpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.StudySpec.class,
+              com.google.cloud.aiplatform.v1.StudySpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.StudySpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getMetricsFieldBuilder();
+        getParametersFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (metricsBuilder_ == null) {
+        metrics_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        metricsBuilder_.clear();
+      }
+      if (parametersBuilder_ == null) {
+        parameters_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+      } else {
+        parametersBuilder_.clear();
+      }
+      algorithm_ = 0;
+
+      observationNoise_ = 0;
+
+      measurementSelectionType_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_StudySpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.StudySpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec build() {
+      com.google.cloud.aiplatform.v1.StudySpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec buildPartial() {
+      com.google.cloud.aiplatform.v1.StudySpec result =
+          new com.google.cloud.aiplatform.v1.StudySpec(this);
+      int from_bitField0_ = bitField0_;
+      if (metricsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          metrics_ = java.util.Collections.unmodifiableList(metrics_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.metrics_ = metrics_;
+      } else {
+        result.metrics_ = metricsBuilder_.build();
+      }
+      if (parametersBuilder_ == null) {
+        if (((bitField0_ & 0x00000002) != 0)) {
+          parameters_ = java.util.Collections.unmodifiableList(parameters_);
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.parameters_ = parameters_;
+      } else {
+        result.parameters_ = parametersBuilder_.build();
+      }
+      result.algorithm_ = algorithm_;
+      result.observationNoise_ = observationNoise_;
+      result.measurementSelectionType_ = measurementSelectionType_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.StudySpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.StudySpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.StudySpec other) {
+      if (other == com.google.cloud.aiplatform.v1.StudySpec.getDefaultInstance()) return this;
+      if (metricsBuilder_ == null) {
+        if (!other.metrics_.isEmpty()) {
+          if (metrics_.isEmpty()) {
+            metrics_ = other.metrics_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureMetricsIsMutable();
+            metrics_.addAll(other.metrics_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.metrics_.isEmpty()) {
+          if (metricsBuilder_.isEmpty()) {
+            metricsBuilder_.dispose();
+            metricsBuilder_ = null;
+            metrics_ = other.metrics_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            metricsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getMetricsFieldBuilder()
+                    : null;
+          } else {
+            metricsBuilder_.addAllMessages(other.metrics_);
+          }
+        }
+      }
+      if (parametersBuilder_ == null) {
+        if (!other.parameters_.isEmpty()) {
+          if (parameters_.isEmpty()) {
+            parameters_ = other.parameters_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureParametersIsMutable();
+            parameters_.addAll(other.parameters_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.parameters_.isEmpty()) {
+          if (parametersBuilder_.isEmpty()) {
+            parametersBuilder_.dispose();
+            parametersBuilder_ = null;
+            parameters_ = other.parameters_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+            parametersBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getParametersFieldBuilder()
+                    : null;
+          } else {
+            parametersBuilder_.addAllMessages(other.parameters_);
+          }
+        }
+      }
+      if (other.algorithm_ != 0) {
+        setAlgorithmValue(other.getAlgorithmValue());
+      }
+      if (other.observationNoise_ != 0) {
+        setObservationNoiseValue(other.getObservationNoiseValue());
+      }
+      if (other.measurementSelectionType_ != 0) {
+        setMeasurementSelectionTypeValue(other.getMeasurementSelectionTypeValue());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.StudySpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.StudySpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.util.List<com.google.cloud.aiplatform.v1.StudySpec.MetricSpec> metrics_ =
+        java.util.Collections.emptyList();
+
+    private void ensureMetricsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        metrics_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.StudySpec.MetricSpec>(metrics_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.StudySpec.MetricSpec,
+            com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder,
+            com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder>
+        metricsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.StudySpec.MetricSpec> getMetricsList() {
+      if (metricsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(metrics_);
+      } else {
+        return metricsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public int getMetricsCount() {
+      if (metricsBuilder_ == null) {
+        return metrics_.size();
+      } else {
+        return metricsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec getMetrics(int index) {
+      if (metricsBuilder_ == null) {
+        return metrics_.get(index);
+      } else {
+        return metricsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setMetrics(
+        int index, com.google.cloud.aiplatform.v1.StudySpec.MetricSpec value) {
+      if (metricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMetricsIsMutable();
+        metrics_.set(index, value);
+        onChanged();
+      } else {
+        metricsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setMetrics(
+        int index, com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder builderForValue) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        metrics_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        metricsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addMetrics(com.google.cloud.aiplatform.v1.StudySpec.MetricSpec value) {
+      if (metricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMetricsIsMutable();
+        metrics_.add(value);
+        onChanged();
+      } else {
+        metricsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addMetrics(
+        int index, com.google.cloud.aiplatform.v1.StudySpec.MetricSpec value) {
+      if (metricsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureMetricsIsMutable();
+        metrics_.add(index, value);
+        onChanged();
+      } else {
+        metricsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addMetrics(
+        com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder builderForValue) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        metrics_.add(builderForValue.build());
+        onChanged();
+      } else {
+        metricsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addMetrics(
+        int index, com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder builderForValue) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        metrics_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        metricsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addAllMetrics(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.StudySpec.MetricSpec> values) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, metrics_);
+        onChanged();
+      } else {
+        metricsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearMetrics() {
+      if (metricsBuilder_ == null) {
+        metrics_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        metricsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder removeMetrics(int index) {
+      if (metricsBuilder_ == null) {
+        ensureMetricsIsMutable();
+        metrics_.remove(index);
+        onChanged();
+      } else {
+        metricsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder getMetricsBuilder(
+        int index) {
+      return getMetricsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder getMetricsOrBuilder(
+        int index) {
+      if (metricsBuilder_ == null) {
+        return metrics_.get(index);
+      } else {
+        return metricsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder>
+        getMetricsOrBuilderList() {
+      if (metricsBuilder_ != null) {
+        return metricsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(metrics_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder addMetricsBuilder() {
+      return getMetricsFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder addMetricsBuilder(
+        int index) {
+      return getMetricsFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Metric specs for the Study.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder>
+        getMetricsBuilderList() {
+      return getMetricsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.StudySpec.MetricSpec,
+            com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder,
+            com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder>
+        getMetricsFieldBuilder() {
+      if (metricsBuilder_ == null) {
+        metricsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.MetricSpec,
+                com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder>(
+                metrics_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        metrics_ = null;
+      }
+      return metricsBuilder_;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec> parameters_ =
+        java.util.Collections.emptyList();
+
+    private void ensureParametersIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        parameters_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec>(
+                parameters_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec,
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder,
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>
+        parametersBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec>
+        getParametersList() {
+      if (parametersBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(parameters_);
+      } else {
+        return parametersBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public int getParametersCount() {
+      if (parametersBuilder_ == null) {
+        return parameters_.size();
+      } else {
+        return parametersBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getParameters(int index) {
+      if (parametersBuilder_ == null) {
+        return parameters_.get(index);
+      } else {
+        return parametersBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setParameters(
+        int index, com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec value) {
+      if (parametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureParametersIsMutable();
+        parameters_.set(index, value);
+        onChanged();
+      } else {
+        parametersBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setParameters(
+        int index, com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder builderForValue) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        parameters_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        parametersBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addParameters(com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec value) {
+      if (parametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureParametersIsMutable();
+        parameters_.add(value);
+        onChanged();
+      } else {
+        parametersBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addParameters(
+        int index, com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec value) {
+      if (parametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureParametersIsMutable();
+        parameters_.add(index, value);
+        onChanged();
+      } else {
+        parametersBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addParameters(
+        com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder builderForValue) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        parameters_.add(builderForValue.build());
+        onChanged();
+      } else {
+        parametersBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addParameters(
+        int index, com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder builderForValue) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        parameters_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        parametersBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder addAllParameters(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec>
+            values) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, parameters_);
+        onChanged();
+      } else {
+        parametersBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearParameters() {
+      if (parametersBuilder_ == null) {
+        parameters_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+      } else {
+        parametersBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder removeParameters(int index) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        parameters_.remove(index);
+        onChanged();
+      } else {
+        parametersBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder getParametersBuilder(
+        int index) {
+      return getParametersFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder getParametersOrBuilder(
+        int index) {
+      if (parametersBuilder_ == null) {
+        return parameters_.get(index);
+      } else {
+        return parametersBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>
+        getParametersOrBuilderList() {
+      if (parametersBuilder_ != null) {
+        return parametersBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(parameters_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder addParametersBuilder() {
+      return getParametersFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder addParametersBuilder(
+        int index) {
+      return getParametersFieldBuilder()
+          .addBuilder(
+              index, com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The set of parameters to tune.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder>
+        getParametersBuilderList() {
+      return getParametersFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec,
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder,
+            com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>
+        getParametersFieldBuilder() {
+      if (parametersBuilder_ == null) {
+        parametersBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder,
+                com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>(
+                parameters_, ((bitField0_ & 0x00000002) != 0), getParentForChildren(), isClean());
+        parameters_ = null;
+      }
+      return parametersBuilder_;
+    }
+
+    private int algorithm_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * The search algorithm specified for the Study.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+     *
+     * @return The enum numeric value on the wire for algorithm.
+     */
+    @java.lang.Override
+    public int getAlgorithmValue() {
+      return algorithm_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The search algorithm specified for the Study.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+     *
+     * @param value The enum numeric value on the wire for algorithm to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAlgorithmValue(int value) {
+
+      algorithm_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The search algorithm specified for the Study.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+     *
+     * @return The algorithm.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.Algorithm getAlgorithm() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.StudySpec.Algorithm result =
+          com.google.cloud.aiplatform.v1.StudySpec.Algorithm.valueOf(algorithm_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.StudySpec.Algorithm.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The search algorithm specified for the Study.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+     *
+     * @param value The algorithm to set.
+     * @return This builder for chaining.
+     */
+    public Builder setAlgorithm(com.google.cloud.aiplatform.v1.StudySpec.Algorithm value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      algorithm_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The search algorithm specified for the Study.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearAlgorithm() {
+
+      algorithm_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int observationNoise_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+     *
+     * @return The enum numeric value on the wire for observationNoise.
+     */
+    @java.lang.Override
+    public int getObservationNoiseValue() {
+      return observationNoise_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+     *
+     * @param value The enum numeric value on the wire for observationNoise to set.
+     * @return This builder for chaining.
+     */
+    public Builder setObservationNoiseValue(int value) {
+
+      observationNoise_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+     *
+     * @return The observationNoise.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise getObservationNoise() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise result =
+          com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise.valueOf(observationNoise_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+     *
+     * @param value The observationNoise to set.
+     * @return This builder for chaining.
+     */
+    public Builder setObservationNoise(
+        com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      observationNoise_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearObservationNoise() {
+
+      observationNoise_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int measurementSelectionType_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for measurementSelectionType.
+     */
+    @java.lang.Override
+    public int getMeasurementSelectionTypeValue() {
+      return measurementSelectionType_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for measurementSelectionType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMeasurementSelectionTypeValue(int value) {
+
+      measurementSelectionType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return The measurementSelectionType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType
+        getMeasurementSelectionType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType result =
+          com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType.valueOf(
+              measurementSelectionType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @param value The measurementSelectionType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMeasurementSelectionType(
+        com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      measurementSelectionType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMeasurementSelectionType() {
+
+      measurementSelectionType_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.StudySpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.StudySpec)
+  private static final com.google.cloud.aiplatform.v1.StudySpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.StudySpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.StudySpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<StudySpec> PARSER =
+      new com.google.protobuf.AbstractParser<StudySpec>() {
+        @java.lang.Override
+        public StudySpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new StudySpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<StudySpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<StudySpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.StudySpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpecOrBuilder.java
new file mode 100644
index 000000000..f663c7444
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/StudySpecOrBuilder.java
@@ -0,0 +1,232 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/study.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface StudySpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.StudySpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.StudySpec.MetricSpec> getMetricsList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.StudySpec.MetricSpec getMetrics(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  int getMetricsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder>
+      getMetricsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Metric specs for the Study.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.StudySpec.MetricSpecOrBuilder getMetricsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec> getParametersList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec getParameters(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  int getParametersCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder>
+      getParametersOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The set of parameters to tune.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.StudySpec.ParameterSpecOrBuilder getParametersOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The search algorithm specified for the Study.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+   *
+   * @return The enum numeric value on the wire for algorithm.
+   */
+  int getAlgorithmValue();
+  /**
+   *
+   *
+   * <pre>
+   * The search algorithm specified for the Study.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.StudySpec.Algorithm algorithm = 3;</code>
+   *
+   * @return The algorithm.
+   */
+  com.google.cloud.aiplatform.v1.StudySpec.Algorithm getAlgorithm();
+
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The enum numeric value on the wire for observationNoise.
+   */
+  int getObservationNoiseValue();
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The observationNoise.
+   */
+  com.google.cloud.aiplatform.v1.StudySpec.ObservationNoise getObservationNoise();
+
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for measurementSelectionType.
+   */
+  int getMeasurementSelectionTypeValue();
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The measurementSelectionType.
+   */
+  com.google.cloud.aiplatform.v1.StudySpec.MeasurementSelectionType getMeasurementSelectionType();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimestampSplit.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimestampSplit.java
new file mode 100644
index 000000000..acbbf37d2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimestampSplit.java
@@ -0,0 +1,950 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Assigns input data to training, validation, and test sets based on a
+ * provided timestamps. The youngest data pieces are assigned to training set,
+ * next to validation set, and the oldest to the test set.
+ * Supported only for tabular Datasets.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.TimestampSplit}
+ */
+public final class TimestampSplit extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.TimestampSplit)
+    TimestampSplitOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TimestampSplit.newBuilder() to construct.
+  private TimestampSplit(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TimestampSplit() {
+    key_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TimestampSplit();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TimestampSplit(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 9:
+            {
+              trainingFraction_ = input.readDouble();
+              break;
+            }
+          case 17:
+            {
+              validationFraction_ = input.readDouble();
+              break;
+            }
+          case 25:
+            {
+              testFraction_ = input.readDouble();
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              key_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_TimestampSplit_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_TimestampSplit_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.TimestampSplit.class,
+            com.google.cloud.aiplatform.v1.TimestampSplit.Builder.class);
+  }
+
+  public static final int TRAINING_FRACTION_FIELD_NUMBER = 1;
+  private double trainingFraction_;
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to train the Model.
+   * </pre>
+   *
+   * <code>double training_fraction = 1;</code>
+   *
+   * @return The trainingFraction.
+   */
+  @java.lang.Override
+  public double getTrainingFraction() {
+    return trainingFraction_;
+  }
+
+  public static final int VALIDATION_FRACTION_FIELD_NUMBER = 2;
+  private double validationFraction_;
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to validate the Model.
+   * </pre>
+   *
+   * <code>double validation_fraction = 2;</code>
+   *
+   * @return The validationFraction.
+   */
+  @java.lang.Override
+  public double getValidationFraction() {
+    return validationFraction_;
+  }
+
+  public static final int TEST_FRACTION_FIELD_NUMBER = 3;
+  private double testFraction_;
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to evaluate the Model.
+   * </pre>
+   *
+   * <code>double test_fraction = 3;</code>
+   *
+   * @return The testFraction.
+   */
+  @java.lang.Override
+  public double getTestFraction() {
+    return testFraction_;
+  }
+
+  public static final int KEY_FIELD_NUMBER = 4;
+  private volatile java.lang.Object key_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The key is a name of one of the Dataset's data columns.
+   * The values of the key (the values in the column) must be in RFC 3339
+   * `date-time` format, where `time-offset` = `"Z"`
+   * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+   * present or has an invalid value, that piece is ignored by the pipeline.
+   * </pre>
+   *
+   * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The key.
+   */
+  @java.lang.Override
+  public java.lang.String getKey() {
+    java.lang.Object ref = key_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      key_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The key is a name of one of the Dataset's data columns.
+   * The values of the key (the values in the column) must be in RFC 3339
+   * `date-time` format, where `time-offset` = `"Z"`
+   * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+   * present or has an invalid value, that piece is ignored by the pipeline.
+   * </pre>
+   *
+   * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for key.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getKeyBytes() {
+    java.lang.Object ref = key_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+    if (!getKey().equals(other.getKey())) return false;
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+    return true;
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+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
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+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
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+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TimestampSplit parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.TimestampSplit prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Assigns input data to training, validation, and test sets based on a
+   * provided timestamps. The youngest data pieces are assigned to training set,
+   * next to validation set, and the oldest to the test set.
+   * Supported only for tabular Datasets.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.TimestampSplit}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.TimestampSplit)
+      com.google.cloud.aiplatform.v1.TimestampSplitOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+          .internal_static_google_cloud_aiplatform_v1_TimestampSplit_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
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+          .ensureFieldAccessorsInitialized(
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+              com.google.cloud.aiplatform.v1.TimestampSplit.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.TimestampSplit.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
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+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      trainingFraction_ = 0D;
+
+      validationFraction_ = 0D;
+
+      testFraction_ = 0D;
+
+      key_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+          .internal_static_google_cloud_aiplatform_v1_TimestampSplit_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TimestampSplit getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TimestampSplit build() {
+      com.google.cloud.aiplatform.v1.TimestampSplit result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TimestampSplit buildPartial() {
+      com.google.cloud.aiplatform.v1.TimestampSplit result =
+          new com.google.cloud.aiplatform.v1.TimestampSplit(this);
+      result.trainingFraction_ = trainingFraction_;
+      result.validationFraction_ = validationFraction_;
+      result.testFraction_ = testFraction_;
+      result.key_ = key_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
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+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
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+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.TimestampSplit) {
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+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.TimestampSplit other) {
+      if (other == com.google.cloud.aiplatform.v1.TimestampSplit.getDefaultInstance()) return this;
+      if (other.getTrainingFraction() != 0D) {
+        setTrainingFraction(other.getTrainingFraction());
+      }
+      if (other.getValidationFraction() != 0D) {
+        setValidationFraction(other.getValidationFraction());
+      }
+      if (other.getTestFraction() != 0D) {
+        setTestFraction(other.getTestFraction());
+      }
+      if (!other.getKey().isEmpty()) {
+        key_ = other.key_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.TimestampSplit parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.TimestampSplit) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private double trainingFraction_;
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to train the Model.
+     * </pre>
+     *
+     * <code>double training_fraction = 1;</code>
+     *
+     * @return The trainingFraction.
+     */
+    @java.lang.Override
+    public double getTrainingFraction() {
+      return trainingFraction_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to train the Model.
+     * </pre>
+     *
+     * <code>double training_fraction = 1;</code>
+     *
+     * @param value The trainingFraction to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainingFraction(double value) {
+
+      trainingFraction_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to train the Model.
+     * </pre>
+     *
+     * <code>double training_fraction = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTrainingFraction() {
+
+      trainingFraction_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    private double validationFraction_;
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to validate the Model.
+     * </pre>
+     *
+     * <code>double validation_fraction = 2;</code>
+     *
+     * @return The validationFraction.
+     */
+    @java.lang.Override
+    public double getValidationFraction() {
+      return validationFraction_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to validate the Model.
+     * </pre>
+     *
+     * <code>double validation_fraction = 2;</code>
+     *
+     * @param value The validationFraction to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValidationFraction(double value) {
+
+      validationFraction_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to validate the Model.
+     * </pre>
+     *
+     * <code>double validation_fraction = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearValidationFraction() {
+
+      validationFraction_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    private double testFraction_;
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to evaluate the Model.
+     * </pre>
+     *
+     * <code>double test_fraction = 3;</code>
+     *
+     * @return The testFraction.
+     */
+    @java.lang.Override
+    public double getTestFraction() {
+      return testFraction_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to evaluate the Model.
+     * </pre>
+     *
+     * <code>double test_fraction = 3;</code>
+     *
+     * @param value The testFraction to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTestFraction(double value) {
+
+      testFraction_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fraction of the input data that is to be used to evaluate the Model.
+     * </pre>
+     *
+     * <code>double test_fraction = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTestFraction() {
+
+      testFraction_ = 0D;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object key_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The values of the key (the values in the column) must be in RFC 3339
+     * `date-time` format, where `time-offset` = `"Z"`
+     * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+     * present or has an invalid value, that piece is ignored by the pipeline.
+     * </pre>
+     *
+     * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The key.
+     */
+    public java.lang.String getKey() {
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+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        key_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The values of the key (the values in the column) must be in RFC 3339
+     * `date-time` format, where `time-offset` = `"Z"`
+     * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+     * present or has an invalid value, that piece is ignored by the pipeline.
+     * </pre>
+     *
+     * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for key.
+     */
+    public com.google.protobuf.ByteString getKeyBytes() {
+      java.lang.Object ref = key_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        key_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The values of the key (the values in the column) must be in RFC 3339
+     * `date-time` format, where `time-offset` = `"Z"`
+     * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+     * present or has an invalid value, that piece is ignored by the pipeline.
+     * </pre>
+     *
+     * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The key to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKey(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      key_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The values of the key (the values in the column) must be in RFC 3339
+     * `date-time` format, where `time-offset` = `"Z"`
+     * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+     * present or has an invalid value, that piece is ignored by the pipeline.
+     * </pre>
+     *
+     * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearKey() {
+
+      key_ = getDefaultInstance().getKey();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The key is a name of one of the Dataset's data columns.
+     * The values of the key (the values in the column) must be in RFC 3339
+     * `date-time` format, where `time-offset` = `"Z"`
+     * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+     * present or has an invalid value, that piece is ignored by the pipeline.
+     * </pre>
+     *
+     * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for key to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKeyBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      key_ = value;
+      onChanged();
+      return this;
+    }
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+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
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+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.TimestampSplit)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.TimestampSplit)
+  private static final com.google.cloud.aiplatform.v1.TimestampSplit DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.TimestampSplit();
+  }
+
+  public static com.google.cloud.aiplatform.v1.TimestampSplit getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TimestampSplit> PARSER =
+      new com.google.protobuf.AbstractParser<TimestampSplit>() {
+        @java.lang.Override
+        public TimestampSplit parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TimestampSplit(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TimestampSplit> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TimestampSplit> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TimestampSplit getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimestampSplitOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimestampSplitOrBuilder.java
new file mode 100644
index 000000000..1b3af0c3d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TimestampSplitOrBuilder.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface TimestampSplitOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.TimestampSplit)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to train the Model.
+   * </pre>
+   *
+   * <code>double training_fraction = 1;</code>
+   *
+   * @return The trainingFraction.
+   */
+  double getTrainingFraction();
+
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to validate the Model.
+   * </pre>
+   *
+   * <code>double validation_fraction = 2;</code>
+   *
+   * @return The validationFraction.
+   */
+  double getValidationFraction();
+
+  /**
+   *
+   *
+   * <pre>
+   * The fraction of the input data that is to be used to evaluate the Model.
+   * </pre>
+   *
+   * <code>double test_fraction = 3;</code>
+   *
+   * @return The testFraction.
+   */
+  double getTestFraction();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The key is a name of one of the Dataset's data columns.
+   * The values of the key (the values in the column) must be in RFC 3339
+   * `date-time` format, where `time-offset` = `"Z"`
+   * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+   * present or has an invalid value, that piece is ignored by the pipeline.
+   * </pre>
+   *
+   * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The key.
+   */
+  java.lang.String getKey();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The key is a name of one of the Dataset's data columns.
+   * The values of the key (the values in the column) must be in RFC 3339
+   * `date-time` format, where `time-offset` = `"Z"`
+   * (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+   * present or has an invalid value, that piece is ignored by the pipeline.
+   * </pre>
+   *
+   * <code>string key = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for key.
+   */
+  com.google.protobuf.ByteString getKeyBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingConfig.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingConfig.java
new file mode 100644
index 000000000..4e0646ecf
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingConfig.java
@@ -0,0 +1,552 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * CMLE training config. For every active learning labeling iteration, system
+ * will train a machine learning model on CMLE. The trained model will be used
+ * by data sampling algorithm to select DataItems.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.TrainingConfig}
+ */
+public final class TrainingConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.TrainingConfig)
+    TrainingConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TrainingConfig.newBuilder() to construct.
+  private TrainingConfig(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TrainingConfig() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TrainingConfig();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TrainingConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              timeoutTrainingMilliHours_ = input.readInt64();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+        .internal_static_google_cloud_aiplatform_v1_TrainingConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+        .internal_static_google_cloud_aiplatform_v1_TrainingConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.TrainingConfig.class,
+            com.google.cloud.aiplatform.v1.TrainingConfig.Builder.class);
+  }
+
+  public static final int TIMEOUT_TRAINING_MILLI_HOURS_FIELD_NUMBER = 1;
+  private long timeoutTrainingMilliHours_;
+  /**
+   *
+   *
+   * <pre>
+   * The timeout hours for the CMLE training job, expressed in milli hours
+   * i.e. 1,000 value in this field means 1 hour.
+   * </pre>
+   *
+   * <code>int64 timeout_training_milli_hours = 1;</code>
+   *
+   * @return The timeoutTrainingMilliHours.
+   */
+  @java.lang.Override
+  public long getTimeoutTrainingMilliHours() {
+    return timeoutTrainingMilliHours_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (timeoutTrainingMilliHours_ != 0L) {
+      output.writeInt64(1, timeoutTrainingMilliHours_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (timeoutTrainingMilliHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, timeoutTrainingMilliHours_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.TrainingConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.TrainingConfig other =
+        (com.google.cloud.aiplatform.v1.TrainingConfig) obj;
+
+    if (getTimeoutTrainingMilliHours() != other.getTimeoutTrainingMilliHours()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + TIMEOUT_TRAINING_MILLI_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTimeoutTrainingMilliHours());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.TrainingConfig prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * CMLE training config. For every active learning labeling iteration, system
+   * will train a machine learning model on CMLE. The trained model will be used
+   * by data sampling algorithm to select DataItems.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.TrainingConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.TrainingConfig)
+      com.google.cloud.aiplatform.v1.TrainingConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_TrainingConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_TrainingConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.TrainingConfig.class,
+              com.google.cloud.aiplatform.v1.TrainingConfig.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.TrainingConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      timeoutTrainingMilliHours_ = 0L;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DataLabelingJobProto
+          .internal_static_google_cloud_aiplatform_v1_TrainingConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TrainingConfig getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.TrainingConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TrainingConfig build() {
+      com.google.cloud.aiplatform.v1.TrainingConfig result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TrainingConfig buildPartial() {
+      com.google.cloud.aiplatform.v1.TrainingConfig result =
+          new com.google.cloud.aiplatform.v1.TrainingConfig(this);
+      result.timeoutTrainingMilliHours_ = timeoutTrainingMilliHours_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.TrainingConfig) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.TrainingConfig) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.TrainingConfig other) {
+      if (other == com.google.cloud.aiplatform.v1.TrainingConfig.getDefaultInstance()) return this;
+      if (other.getTimeoutTrainingMilliHours() != 0L) {
+        setTimeoutTrainingMilliHours(other.getTimeoutTrainingMilliHours());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.TrainingConfig parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.TrainingConfig) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private long timeoutTrainingMilliHours_;
+    /**
+     *
+     *
+     * <pre>
+     * The timeout hours for the CMLE training job, expressed in milli hours
+     * i.e. 1,000 value in this field means 1 hour.
+     * </pre>
+     *
+     * <code>int64 timeout_training_milli_hours = 1;</code>
+     *
+     * @return The timeoutTrainingMilliHours.
+     */
+    @java.lang.Override
+    public long getTimeoutTrainingMilliHours() {
+      return timeoutTrainingMilliHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The timeout hours for the CMLE training job, expressed in milli hours
+     * i.e. 1,000 value in this field means 1 hour.
+     * </pre>
+     *
+     * <code>int64 timeout_training_milli_hours = 1;</code>
+     *
+     * @param value The timeoutTrainingMilliHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeoutTrainingMilliHours(long value) {
+
+      timeoutTrainingMilliHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The timeout hours for the CMLE training job, expressed in milli hours
+     * i.e. 1,000 value in this field means 1 hour.
+     * </pre>
+     *
+     * <code>int64 timeout_training_milli_hours = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTimeoutTrainingMilliHours() {
+
+      timeoutTrainingMilliHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.TrainingConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.TrainingConfig)
+  private static final com.google.cloud.aiplatform.v1.TrainingConfig DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.TrainingConfig();
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingConfig getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TrainingConfig> PARSER =
+      new com.google.protobuf.AbstractParser<TrainingConfig>() {
+        @java.lang.Override
+        public TrainingConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TrainingConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TrainingConfig> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TrainingConfig> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrainingConfig getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingConfigOrBuilder.java
new file mode 100644
index 000000000..b689a45d6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingConfigOrBuilder.java
@@ -0,0 +1,39 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/data_labeling_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface TrainingConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.TrainingConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The timeout hours for the CMLE training job, expressed in milli hours
+   * i.e. 1,000 value in this field means 1 hour.
+   * </pre>
+   *
+   * <code>int64 timeout_training_milli_hours = 1;</code>
+   *
+   * @return The timeoutTrainingMilliHours.
+   */
+  long getTimeoutTrainingMilliHours();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipeline.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipeline.java
new file mode 100644
index 000000000..b36a9f5e3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipeline.java
@@ -0,0 +1,4794 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * The TrainingPipeline orchestrates tasks associated with training a Model. It
+ * always executes the training task, and optionally may also
+ * export data from AI Platform's Dataset which becomes the training input,
+ * [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to AI Platform, and evaluate the
+ * Model.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.TrainingPipeline}
+ */
+public final class TrainingPipeline extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.TrainingPipeline)
+    TrainingPipelineOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TrainingPipeline.newBuilder() to construct.
+  private TrainingPipeline(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TrainingPipeline() {
+    name_ = "";
+    displayName_ = "";
+    trainingTaskDefinition_ = "";
+    state_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TrainingPipeline();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TrainingPipeline(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              name_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
+            {
+              com.google.cloud.aiplatform.v1.InputDataConfig.Builder subBuilder = null;
+              if (inputDataConfig_ != null) {
+                subBuilder = inputDataConfig_.toBuilder();
+              }
+              inputDataConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.InputDataConfig.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputDataConfig_);
+                inputDataConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              trainingTaskDefinition_ = s;
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (trainingTaskInputs_ != null) {
+                subBuilder = trainingTaskInputs_.toBuilder();
+              }
+              trainingTaskInputs_ =
+                  input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(trainingTaskInputs_);
+                trainingTaskInputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              com.google.protobuf.Value.Builder subBuilder = null;
+              if (trainingTaskMetadata_ != null) {
+                subBuilder = trainingTaskMetadata_.toBuilder();
+              }
+              trainingTaskMetadata_ =
+                  input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(trainingTaskMetadata_);
+                trainingTaskMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 58:
+            {
+              com.google.cloud.aiplatform.v1.Model.Builder subBuilder = null;
+              if (modelToUpload_ != null) {
+                subBuilder = modelToUpload_.toBuilder();
+              }
+              modelToUpload_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Model.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(modelToUpload_);
+                modelToUpload_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 72:
+            {
+              int rawValue = input.readEnum();
+
+              state_ = rawValue;
+              break;
+            }
+          case 82:
+            {
+              com.google.rpc.Status.Builder subBuilder = null;
+              if (error_ != null) {
+                subBuilder = error_.toBuilder();
+              }
+              error_ = input.readMessage(com.google.rpc.Status.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(error_);
+                error_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 90:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (createTime_ != null) {
+                subBuilder = createTime_.toBuilder();
+              }
+              createTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(createTime_);
+                createTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 98:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (startTime_ != null) {
+                subBuilder = startTime_.toBuilder();
+              }
+              startTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(startTime_);
+                startTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 106:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (endTime_ != null) {
+                subBuilder = endTime_.toBuilder();
+              }
+              endTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(endTime_);
+                endTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 114:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (updateTime_ != null) {
+                subBuilder = updateTime_.toBuilder();
+              }
+              updateTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateTime_);
+                updateTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 122:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                labels_ =
+                    com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.String> labels__ =
+                  input.readMessage(
+                      LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
+              labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 146:
+            {
+              com.google.cloud.aiplatform.v1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.EncryptionSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_TrainingPipeline_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 15:
+        return internalGetLabels();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.TrainingPipelineProto
+        .internal_static_google_cloud_aiplatform_v1_TrainingPipeline_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.TrainingPipeline.class,
+            com.google.cloud.aiplatform.v1.TrainingPipeline.Builder.class);
+  }
+
+  public static final int NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object name_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the TrainingPipeline.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  @java.lang.Override
+  public java.lang.String getName() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      name_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the TrainingPipeline.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getNameBytes() {
+    java.lang.Object ref = name_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      name_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of this TrainingPipeline.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of this TrainingPipeline.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int INPUT_DATA_CONFIG_FIELD_NUMBER = 3;
+  private com.google.cloud.aiplatform.v1.InputDataConfig inputDataConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * Specifies AI Platform owned input data that may be used for training the
+   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+   * clear whether this config is used and if there are any special requirements
+   * on how it should be filled. If nothing about this config is mentioned in
+   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+   * TrainingPipeline does not depend on this configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+   *
+   * @return Whether the inputDataConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputDataConfig() {
+    return inputDataConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Specifies AI Platform owned input data that may be used for training the
+   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+   * clear whether this config is used and if there are any special requirements
+   * on how it should be filled. If nothing about this config is mentioned in
+   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+   * TrainingPipeline does not depend on this configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+   *
+   * @return The inputDataConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.InputDataConfig getInputDataConfig() {
+    return inputDataConfig_ == null
+        ? com.google.cloud.aiplatform.v1.InputDataConfig.getDefaultInstance()
+        : inputDataConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Specifies AI Platform owned input data that may be used for training the
+   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+   * clear whether this config is used and if there are any special requirements
+   * on how it should be filled. If nothing about this config is mentioned in
+   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+   * TrainingPipeline does not depend on this configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder getInputDataConfigOrBuilder() {
+    return getInputDataConfig();
+  }
+
+  public static final int TRAINING_TASK_DEFINITION_FIELD_NUMBER = 4;
+  private volatile java.lang.Object trainingTaskDefinition_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. A Google Cloud Storage path to the YAML file that defines the training task
+   * which is responsible for producing the model artifact, and may also include
+   * additional auxiliary work.
+   * The definition files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The trainingTaskDefinition.
+   */
+  @java.lang.Override
+  public java.lang.String getTrainingTaskDefinition() {
+    java.lang.Object ref = trainingTaskDefinition_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      trainingTaskDefinition_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. A Google Cloud Storage path to the YAML file that defines the training task
+   * which is responsible for producing the model artifact, and may also include
+   * additional auxiliary work.
+   * The definition files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for trainingTaskDefinition.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTrainingTaskDefinitionBytes() {
+    java.lang.Object ref = trainingTaskDefinition_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      trainingTaskDefinition_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TRAINING_TASK_INPUTS_FIELD_NUMBER = 5;
+  private com.google.protobuf.Value trainingTaskInputs_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The training task's parameter(s), as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the trainingTaskInputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasTrainingTaskInputs() {
+    return trainingTaskInputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The training task's parameter(s), as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The trainingTaskInputs.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getTrainingTaskInputs() {
+    return trainingTaskInputs_ == null
+        ? com.google.protobuf.Value.getDefaultInstance()
+        : trainingTaskInputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The training task's parameter(s), as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder() {
+    return getTrainingTaskInputs();
+  }
+
+  public static final int TRAINING_TASK_METADATA_FIELD_NUMBER = 6;
+  private com.google.protobuf.Value trainingTaskMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `metadata`. This metadata is an auxiliary runtime and final information
+   * about the training task. While the pipeline is running this information is
+   * populated only at a best effort basis. Only present if the
+   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the trainingTaskMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasTrainingTaskMetadata() {
+    return trainingTaskMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `metadata`. This metadata is an auxiliary runtime and final information
+   * about the training task. While the pipeline is running this information is
+   * populated only at a best effort basis. Only present if the
+   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The trainingTaskMetadata.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Value getTrainingTaskMetadata() {
+    return trainingTaskMetadata_ == null
+        ? com.google.protobuf.Value.getDefaultInstance()
+        : trainingTaskMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `metadata`. This metadata is an auxiliary runtime and final information
+   * about the training task. While the pipeline is running this information is
+   * populated only at a best effort basis. Only present if the
+   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
+    return getTrainingTaskMetadata();
+  }
+
+  public static final int MODEL_TO_UPLOAD_FIELD_NUMBER = 7;
+  private com.google.cloud.aiplatform.v1.Model modelToUpload_;
+  /**
+   *
+   *
+   * <pre>
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * by this TrainingPipeline. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+   * description should be populated, and if there are any special requirements
+   * regarding how it should be filled. If nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+   * should not be filled and the training task either uploads the Model without
+   * a need of this information, or that training task does not support
+   * uploading a Model as part of the pipeline.
+   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * the trained Model had been uploaded into AI Platform, then the
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+   * is always uploaded into the Project and Location in which this pipeline
+   * is.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+   *
+   * @return Whether the modelToUpload field is set.
+   */
+  @java.lang.Override
+  public boolean hasModelToUpload() {
+    return modelToUpload_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * by this TrainingPipeline. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+   * description should be populated, and if there are any special requirements
+   * regarding how it should be filled. If nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+   * should not be filled and the training task either uploads the Model without
+   * a need of this information, or that training task does not support
+   * uploading a Model as part of the pipeline.
+   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * the trained Model had been uploaded into AI Platform, then the
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+   * is always uploaded into the Project and Location in which this pipeline
+   * is.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+   *
+   * @return The modelToUpload.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Model getModelToUpload() {
+    return modelToUpload_ == null
+        ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance()
+        : modelToUpload_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * by this TrainingPipeline. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+   * description should be populated, and if there are any special requirements
+   * regarding how it should be filled. If nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+   * should not be filled and the training task either uploads the Model without
+   * a need of this information, or that training task does not support
+   * uploading a Model as part of the pipeline.
+   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * the trained Model had been uploaded into AI Platform, then the
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+   * is always uploaded into the Project and Location in which this pipeline
+   * is.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelToUploadOrBuilder() {
+    return getModelToUpload();
+  }
+
+  public static final int STATE_FIELD_NUMBER = 9;
+  private int state_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the pipeline.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  @java.lang.Override
+  public int getStateValue() {
+    return state_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the pipeline.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PipelineState getState() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.PipelineState result =
+        com.google.cloud.aiplatform.v1.PipelineState.valueOf(state_);
+    return result == null ? com.google.cloud.aiplatform.v1.PipelineState.UNRECOGNIZED : result;
+  }
+
+  public static final int ERROR_FIELD_NUMBER = 10;
+  private com.google.rpc.Status error_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  @java.lang.Override
+  public boolean hasError() {
+    return error_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  @java.lang.Override
+  public com.google.rpc.Status getError() {
+    return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  @java.lang.Override
+  public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+    return getError();
+  }
+
+  public static final int CREATE_TIME_FIELD_NUMBER = 11;
+  private com.google.protobuf.Timestamp createTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasCreateTime() {
+    return createTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getCreateTime() {
+    return createTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : createTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+    return getCreateTime();
+  }
+
+  public static final int START_TIME_FIELD_NUMBER = 12;
+  private com.google.protobuf.Timestamp startTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline for the first time entered the
+   * `PIPELINE_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasStartTime() {
+    return startTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline for the first time entered the
+   * `PIPELINE_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getStartTime() {
+    return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline for the first time entered the
+   * `PIPELINE_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+    return getStartTime();
+  }
+
+  public static final int END_TIME_FIELD_NUMBER = 13;
+  private com.google.protobuf.Timestamp endTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline entered any of the following states:
+   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasEndTime() {
+    return endTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline entered any of the following states:
+   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getEndTime() {
+    return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline entered any of the following states:
+   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+    return getEndTime();
+  }
+
+  public static final int UPDATE_TIME_FIELD_NUMBER = 14;
+  private com.google.protobuf.Timestamp updateTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateTime() {
+    return updateTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getUpdateTime() {
+    return updateTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : updateTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+    return getUpdateTime();
+  }
+
+  public static final int LABELS_FIELD_NUMBER = 15;
+
+  private static final class LabelsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.String> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.String>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.TrainingPipelineProto
+                .internal_static_google_cloud_aiplatform_v1_TrainingPipeline_LabelsEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "");
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+    if (labels_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+    }
+    return labels_;
+  }
+
+  public int getLabelsCount() {
+    return internalGetLabels().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  @java.lang.Override
+  public boolean containsLabels(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetLabels().getMap().containsKey(key);
+  }
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+    return getLabelsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+    return internalGetLabels().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  @java.lang.Override
+  public java.lang.String getLabelsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 18;
+  private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (inputDataConfig_ != null) {
+      output.writeMessage(3, getInputDataConfig());
+    }
+    if (!getTrainingTaskDefinitionBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, trainingTaskDefinition_);
+    }
+    if (trainingTaskInputs_ != null) {
+      output.writeMessage(5, getTrainingTaskInputs());
+    }
+    if (trainingTaskMetadata_ != null) {
+      output.writeMessage(6, getTrainingTaskMetadata());
+    }
+    if (modelToUpload_ != null) {
+      output.writeMessage(7, getModelToUpload());
+    }
+    if (state_
+        != com.google.cloud.aiplatform.v1.PipelineState.PIPELINE_STATE_UNSPECIFIED.getNumber()) {
+      output.writeEnum(9, state_);
+    }
+    if (error_ != null) {
+      output.writeMessage(10, getError());
+    }
+    if (createTime_ != null) {
+      output.writeMessage(11, getCreateTime());
+    }
+    if (startTime_ != null) {
+      output.writeMessage(12, getStartTime());
+    }
+    if (endTime_ != null) {
+      output.writeMessage(13, getEndTime());
+    }
+    if (updateTime_ != null) {
+      output.writeMessage(14, getUpdateTime());
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 15);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(18, getEncryptionSpec());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (inputDataConfig_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getInputDataConfig());
+    }
+    if (!getTrainingTaskDefinitionBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, trainingTaskDefinition_);
+    }
+    if (trainingTaskInputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getTrainingTaskInputs());
+    }
+    if (trainingTaskMetadata_ != null) {
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+    return PARSER.parseFrom(data);
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+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
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+  public static com.google.cloud.aiplatform.v1.TrainingPipeline parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingPipeline parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
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+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
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+  public static com.google.cloud.aiplatform.v1.TrainingPipeline parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
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+  public static com.google.cloud.aiplatform.v1.TrainingPipeline parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingPipeline parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.TrainingPipeline parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingPipeline parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.TrainingPipeline prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
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+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The TrainingPipeline orchestrates tasks associated with training a Model. It
+   * always executes the training task, and optionally may also
+   * export data from AI Platform's Dataset which becomes the training input,
+   * [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to AI Platform, and evaluate the
+   * Model.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.TrainingPipeline}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.TrainingPipeline)
+      com.google.cloud.aiplatform.v1.TrainingPipelineOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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+              com.google.cloud.aiplatform.v1.TrainingPipeline.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.TrainingPipeline.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
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+      name_ = "";
+
+      displayName_ = "";
+
+      if (inputDataConfigBuilder_ == null) {
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+      } else {
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+        trainingTaskMetadataBuilder_ = null;
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+      if (modelToUploadBuilder_ == null) {
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+      } else {
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+        modelToUploadBuilder_ = null;
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+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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+    }
+
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+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TrainingPipeline build() {
+      com.google.cloud.aiplatform.v1.TrainingPipeline result = buildPartial();
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+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.TrainingPipeline buildPartial() {
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+      result.displayName_ = displayName_;
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+      }
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+      }
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+        result.trainingTaskMetadata_ = trainingTaskMetadata_;
+      } else {
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+      }
+      if (modelToUploadBuilder_ == null) {
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+      } else {
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+      }
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+      } else {
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+      }
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+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
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+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.TrainingPipeline) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.TrainingPipeline) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.TrainingPipeline other) {
+      if (other == com.google.cloud.aiplatform.v1.TrainingPipeline.getDefaultInstance())
+        return this;
+      if (!other.getName().isEmpty()) {
+        name_ = other.name_;
+        onChanged();
+      }
+      if (!other.getDisplayName().isEmpty()) {
+        displayName_ = other.displayName_;
+        onChanged();
+      }
+      if (other.hasInputDataConfig()) {
+        mergeInputDataConfig(other.getInputDataConfig());
+      }
+      if (!other.getTrainingTaskDefinition().isEmpty()) {
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+      if (other.hasTrainingTaskMetadata()) {
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+      }
+      if (other.hasModelToUpload()) {
+        mergeModelToUpload(other.getModelToUpload());
+      }
+      if (other.state_ != 0) {
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+      if (other.hasError()) {
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+      if (other.hasStartTime()) {
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+      if (other.hasEndTime()) {
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+      if (other.hasUpdateTime()) {
+        mergeUpdateTime(other.getUpdateTime());
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+      internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
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+      try {
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+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.TrainingPipeline) e.getUnfinishedMessage();
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+      return this;
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+    private int bitField0_;
+
+    private java.lang.Object name_ = "";
+    /**
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+     *
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+     *
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+        name_ = s;
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+    /**
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+     * <pre>
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+        name_ = b;
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+    /**
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+     * <pre>
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+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the TrainingPipeline.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearName() {
+
+      name_ = getDefaultInstance().getName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Resource name of the TrainingPipeline.
+     * </pre>
+     *
+     * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for name to set.
+     * @return This builder for chaining.
+     */
+    public Builder setNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      name_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this TrainingPipeline.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this TrainingPipeline.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this TrainingPipeline.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this TrainingPipeline.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The user-defined name of this TrainingPipeline.
+     * </pre>
+     *
+     * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.InputDataConfig inputDataConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.InputDataConfig,
+            com.google.cloud.aiplatform.v1.InputDataConfig.Builder,
+            com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder>
+        inputDataConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     *
+     * @return Whether the inputDataConfig field is set.
+     */
+    public boolean hasInputDataConfig() {
+      return inputDataConfigBuilder_ != null || inputDataConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     *
+     * @return The inputDataConfig.
+     */
+    public com.google.cloud.aiplatform.v1.InputDataConfig getInputDataConfig() {
+      if (inputDataConfigBuilder_ == null) {
+        return inputDataConfig_ == null
+            ? com.google.cloud.aiplatform.v1.InputDataConfig.getDefaultInstance()
+            : inputDataConfig_;
+      } else {
+        return inputDataConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     */
+    public Builder setInputDataConfig(com.google.cloud.aiplatform.v1.InputDataConfig value) {
+      if (inputDataConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputDataConfig_ = value;
+        onChanged();
+      } else {
+        inputDataConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     */
+    public Builder setInputDataConfig(
+        com.google.cloud.aiplatform.v1.InputDataConfig.Builder builderForValue) {
+      if (inputDataConfigBuilder_ == null) {
+        inputDataConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputDataConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     */
+    public Builder mergeInputDataConfig(com.google.cloud.aiplatform.v1.InputDataConfig value) {
+      if (inputDataConfigBuilder_ == null) {
+        if (inputDataConfig_ != null) {
+          inputDataConfig_ =
+              com.google.cloud.aiplatform.v1.InputDataConfig.newBuilder(inputDataConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputDataConfig_ = value;
+        }
+        onChanged();
+      } else {
+        inputDataConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     */
+    public Builder clearInputDataConfig() {
+      if (inputDataConfigBuilder_ == null) {
+        inputDataConfig_ = null;
+        onChanged();
+      } else {
+        inputDataConfig_ = null;
+        inputDataConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.InputDataConfig.Builder getInputDataConfigBuilder() {
+
+      onChanged();
+      return getInputDataConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     */
+    public com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder getInputDataConfigOrBuilder() {
+      if (inputDataConfigBuilder_ != null) {
+        return inputDataConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return inputDataConfig_ == null
+            ? com.google.cloud.aiplatform.v1.InputDataConfig.getDefaultInstance()
+            : inputDataConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Specifies AI Platform owned input data that may be used for training the
+     * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+     * clear whether this config is used and if there are any special requirements
+     * on how it should be filled. If nothing about this config is mentioned in
+     * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+     * TrainingPipeline does not depend on this configuration.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.InputDataConfig,
+            com.google.cloud.aiplatform.v1.InputDataConfig.Builder,
+            com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder>
+        getInputDataConfigFieldBuilder() {
+      if (inputDataConfigBuilder_ == null) {
+        inputDataConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.InputDataConfig,
+                com.google.cloud.aiplatform.v1.InputDataConfig.Builder,
+                com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder>(
+                getInputDataConfig(), getParentForChildren(), isClean());
+        inputDataConfig_ = null;
+      }
+      return inputDataConfigBuilder_;
+    }
+
+    private java.lang.Object trainingTaskDefinition_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. A Google Cloud Storage path to the YAML file that defines the training task
+     * which is responsible for producing the model artifact, and may also include
+     * additional auxiliary work.
+     * The definition files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The trainingTaskDefinition.
+     */
+    public java.lang.String getTrainingTaskDefinition() {
+      java.lang.Object ref = trainingTaskDefinition_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        trainingTaskDefinition_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A Google Cloud Storage path to the YAML file that defines the training task
+     * which is responsible for producing the model artifact, and may also include
+     * additional auxiliary work.
+     * The definition files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for trainingTaskDefinition.
+     */
+    public com.google.protobuf.ByteString getTrainingTaskDefinitionBytes() {
+      java.lang.Object ref = trainingTaskDefinition_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        trainingTaskDefinition_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A Google Cloud Storage path to the YAML file that defines the training task
+     * which is responsible for producing the model artifact, and may also include
+     * additional auxiliary work.
+     * The definition files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The trainingTaskDefinition to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainingTaskDefinition(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      trainingTaskDefinition_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A Google Cloud Storage path to the YAML file that defines the training task
+     * which is responsible for producing the model artifact, and may also include
+     * additional auxiliary work.
+     * The definition files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTrainingTaskDefinition() {
+
+      trainingTaskDefinition_ = getDefaultInstance().getTrainingTaskDefinition();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. A Google Cloud Storage path to the YAML file that defines the training task
+     * which is responsible for producing the model artifact, and may also include
+     * additional auxiliary work.
+     * The definition files that can be used here are found in
+     * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+     * Note: The URI given on output will be immutable and probably different,
+     * including the URI scheme, than the one given on input. The output URI will
+     * point to a location where the user only has a read access.
+     * </pre>
+     *
+     * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for trainingTaskDefinition to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainingTaskDefinitionBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      trainingTaskDefinition_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Value trainingTaskInputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        trainingTaskInputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the trainingTaskInputs field is set.
+     */
+    public boolean hasTrainingTaskInputs() {
+      return trainingTaskInputsBuilder_ != null || trainingTaskInputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The trainingTaskInputs.
+     */
+    public com.google.protobuf.Value getTrainingTaskInputs() {
+      if (trainingTaskInputsBuilder_ == null) {
+        return trainingTaskInputs_ == null
+            ? com.google.protobuf.Value.getDefaultInstance()
+            : trainingTaskInputs_;
+      } else {
+        return trainingTaskInputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setTrainingTaskInputs(com.google.protobuf.Value value) {
+      if (trainingTaskInputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        trainingTaskInputs_ = value;
+        onChanged();
+      } else {
+        trainingTaskInputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setTrainingTaskInputs(com.google.protobuf.Value.Builder builderForValue) {
+      if (trainingTaskInputsBuilder_ == null) {
+        trainingTaskInputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        trainingTaskInputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeTrainingTaskInputs(com.google.protobuf.Value value) {
+      if (trainingTaskInputsBuilder_ == null) {
+        if (trainingTaskInputs_ != null) {
+          trainingTaskInputs_ =
+              com.google.protobuf.Value.newBuilder(trainingTaskInputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          trainingTaskInputs_ = value;
+        }
+        onChanged();
+      } else {
+        trainingTaskInputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearTrainingTaskInputs() {
+      if (trainingTaskInputsBuilder_ == null) {
+        trainingTaskInputs_ = null;
+        onChanged();
+      } else {
+        trainingTaskInputs_ = null;
+        trainingTaskInputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.Value.Builder getTrainingTaskInputsBuilder() {
+
+      onChanged();
+      return getTrainingTaskInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder() {
+      if (trainingTaskInputsBuilder_ != null) {
+        return trainingTaskInputsBuilder_.getMessageOrBuilder();
+      } else {
+        return trainingTaskInputs_ == null
+            ? com.google.protobuf.Value.getDefaultInstance()
+            : trainingTaskInputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The training task's parameter(s), as specified in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getTrainingTaskInputsFieldBuilder() {
+      if (trainingTaskInputsBuilder_ == null) {
+        trainingTaskInputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getTrainingTaskInputs(), getParentForChildren(), isClean());
+        trainingTaskInputs_ = null;
+      }
+      return trainingTaskInputsBuilder_;
+    }
+
+    private com.google.protobuf.Value trainingTaskMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        trainingTaskMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the trainingTaskMetadata field is set.
+     */
+    public boolean hasTrainingTaskMetadata() {
+      return trainingTaskMetadataBuilder_ != null || trainingTaskMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The trainingTaskMetadata.
+     */
+    public com.google.protobuf.Value getTrainingTaskMetadata() {
+      if (trainingTaskMetadataBuilder_ == null) {
+        return trainingTaskMetadata_ == null
+            ? com.google.protobuf.Value.getDefaultInstance()
+            : trainingTaskMetadata_;
+      } else {
+        return trainingTaskMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setTrainingTaskMetadata(com.google.protobuf.Value value) {
+      if (trainingTaskMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        trainingTaskMetadata_ = value;
+        onChanged();
+      } else {
+        trainingTaskMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setTrainingTaskMetadata(com.google.protobuf.Value.Builder builderForValue) {
+      if (trainingTaskMetadataBuilder_ == null) {
+        trainingTaskMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        trainingTaskMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeTrainingTaskMetadata(com.google.protobuf.Value value) {
+      if (trainingTaskMetadataBuilder_ == null) {
+        if (trainingTaskMetadata_ != null) {
+          trainingTaskMetadata_ =
+              com.google.protobuf.Value.newBuilder(trainingTaskMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          trainingTaskMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        trainingTaskMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearTrainingTaskMetadata() {
+      if (trainingTaskMetadataBuilder_ == null) {
+        trainingTaskMetadata_ = null;
+        onChanged();
+      } else {
+        trainingTaskMetadata_ = null;
+        trainingTaskMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Value.Builder getTrainingTaskMetadataBuilder() {
+
+      onChanged();
+      return getTrainingTaskMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
+      if (trainingTaskMetadataBuilder_ != null) {
+        return trainingTaskMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return trainingTaskMetadata_ == null
+            ? com.google.protobuf.Value.getDefaultInstance()
+            : trainingTaskMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+     * `metadata`. This metadata is an auxiliary runtime and final information
+     * about the training task. While the pipeline is running this information is
+     * populated only at a best effort basis. Only present if the
+     * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Value,
+            com.google.protobuf.Value.Builder,
+            com.google.protobuf.ValueOrBuilder>
+        getTrainingTaskMetadataFieldBuilder() {
+      if (trainingTaskMetadataBuilder_ == null) {
+        trainingTaskMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Value,
+                com.google.protobuf.Value.Builder,
+                com.google.protobuf.ValueOrBuilder>(
+                getTrainingTaskMetadata(), getParentForChildren(), isClean());
+        trainingTaskMetadata_ = null;
+      }
+      return trainingTaskMetadataBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.Model modelToUpload_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model,
+            com.google.cloud.aiplatform.v1.Model.Builder,
+            com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        modelToUploadBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     *
+     * @return Whether the modelToUpload field is set.
+     */
+    public boolean hasModelToUpload() {
+      return modelToUploadBuilder_ != null || modelToUpload_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     *
+     * @return The modelToUpload.
+     */
+    public com.google.cloud.aiplatform.v1.Model getModelToUpload() {
+      if (modelToUploadBuilder_ == null) {
+        return modelToUpload_ == null
+            ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance()
+            : modelToUpload_;
+      } else {
+        return modelToUploadBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     */
+    public Builder setModelToUpload(com.google.cloud.aiplatform.v1.Model value) {
+      if (modelToUploadBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        modelToUpload_ = value;
+        onChanged();
+      } else {
+        modelToUploadBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     */
+    public Builder setModelToUpload(com.google.cloud.aiplatform.v1.Model.Builder builderForValue) {
+      if (modelToUploadBuilder_ == null) {
+        modelToUpload_ = builderForValue.build();
+        onChanged();
+      } else {
+        modelToUploadBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     */
+    public Builder mergeModelToUpload(com.google.cloud.aiplatform.v1.Model value) {
+      if (modelToUploadBuilder_ == null) {
+        if (modelToUpload_ != null) {
+          modelToUpload_ =
+              com.google.cloud.aiplatform.v1.Model.newBuilder(modelToUpload_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          modelToUpload_ = value;
+        }
+        onChanged();
+      } else {
+        modelToUploadBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     */
+    public Builder clearModelToUpload() {
+      if (modelToUploadBuilder_ == null) {
+        modelToUpload_ = null;
+        onChanged();
+      } else {
+        modelToUpload_ = null;
+        modelToUploadBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.Builder getModelToUploadBuilder() {
+
+      onChanged();
+      return getModelToUploadFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelToUploadOrBuilder() {
+      if (modelToUploadBuilder_ != null) {
+        return modelToUploadBuilder_.getMessageOrBuilder();
+      } else {
+        return modelToUpload_ == null
+            ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance()
+            : modelToUpload_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+     * by this TrainingPipeline. The TrainingPipeline's
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+     * description should be populated, and if there are any special requirements
+     * regarding how it should be filled. If nothing is mentioned in the
+     * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+     * should not be filled and the training task either uploads the Model without
+     * a need of this information, or that training task does not support
+     * uploading a Model as part of the pipeline.
+     * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+     * the trained Model had been uploaded into AI Platform, then the
+     * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+     * is always uploaded into the Project and Location in which this pipeline
+     * is.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model,
+            com.google.cloud.aiplatform.v1.Model.Builder,
+            com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        getModelToUploadFieldBuilder() {
+      if (modelToUploadBuilder_ == null) {
+        modelToUploadBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Model,
+                com.google.cloud.aiplatform.v1.Model.Builder,
+                com.google.cloud.aiplatform.v1.ModelOrBuilder>(
+                getModelToUpload(), getParentForChildren(), isClean());
+        modelToUpload_ = null;
+      }
+      return modelToUploadBuilder_;
+    }
+
+    private int state_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the pipeline.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for state.
+     */
+    @java.lang.Override
+    public int getStateValue() {
+      return state_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the pipeline.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setStateValue(int value) {
+
+      state_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the pipeline.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The state.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PipelineState getState() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.PipelineState result =
+          com.google.cloud.aiplatform.v1.PipelineState.valueOf(state_);
+      return result == null ? com.google.cloud.aiplatform.v1.PipelineState.UNRECOGNIZED : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the pipeline.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setState(com.google.cloud.aiplatform.v1.PipelineState value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      state_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the pipeline.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearState() {
+
+      state_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private com.google.rpc.Status error_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        errorBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return Whether the error field is set.
+     */
+    public boolean hasError() {
+      return errorBuilder_ != null || error_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The error.
+     */
+    public com.google.rpc.Status getError() {
+      if (errorBuilder_ == null) {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      } else {
+        return errorBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        error_ = value;
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder setError(com.google.rpc.Status.Builder builderForValue) {
+      if (errorBuilder_ == null) {
+        error_ = builderForValue.build();
+        onChanged();
+      } else {
+        errorBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder mergeError(com.google.rpc.Status value) {
+      if (errorBuilder_ == null) {
+        if (error_ != null) {
+          error_ = com.google.rpc.Status.newBuilder(error_).mergeFrom(value).buildPartial();
+        } else {
+          error_ = value;
+        }
+        onChanged();
+      } else {
+        errorBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public Builder clearError() {
+      if (errorBuilder_ == null) {
+        error_ = null;
+        onChanged();
+      } else {
+        error_ = null;
+        errorBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.Status.Builder getErrorBuilder() {
+
+      onChanged();
+      return getErrorFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+      if (errorBuilder_ != null) {
+        return errorBuilder_.getMessageOrBuilder();
+      } else {
+        return error_ == null ? com.google.rpc.Status.getDefaultInstance() : error_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+        getErrorFieldBuilder() {
+      if (errorBuilder_ == null) {
+        errorBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.rpc.Status,
+                com.google.rpc.Status.Builder,
+                com.google.rpc.StatusOrBuilder>(getError(), getParentForChildren(), isClean());
+        error_ = null;
+      }
+      return errorBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp createTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        createTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the createTime field is set.
+     */
+    public boolean hasCreateTime() {
+      return createTimeBuilder_ != null || createTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The createTime.
+     */
+    public com.google.protobuf.Timestamp getCreateTime() {
+      if (createTimeBuilder_ == null) {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      } else {
+        return createTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        createTime_ = value;
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (createTimeBuilder_ == null) {
+        createTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        createTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeCreateTime(com.google.protobuf.Timestamp value) {
+      if (createTimeBuilder_ == null) {
+        if (createTime_ != null) {
+          createTime_ =
+              com.google.protobuf.Timestamp.newBuilder(createTime_).mergeFrom(value).buildPartial();
+        } else {
+          createTime_ = value;
+        }
+        onChanged();
+      } else {
+        createTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearCreateTime() {
+      if (createTimeBuilder_ == null) {
+        createTime_ = null;
+        onChanged();
+      } else {
+        createTime_ = null;
+        createTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder() {
+
+      onChanged();
+      return getCreateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder() {
+      if (createTimeBuilder_ != null) {
+        return createTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return createTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : createTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was created.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getCreateTimeFieldBuilder() {
+      if (createTimeBuilder_ == null) {
+        createTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getCreateTime(), getParentForChildren(), isClean());
+        createTime_ = null;
+      }
+      return createTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp startTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        startTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the startTime field is set.
+     */
+    public boolean hasStartTime() {
+      return startTimeBuilder_ != null || startTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The startTime.
+     */
+    public com.google.protobuf.Timestamp getStartTime() {
+      if (startTimeBuilder_ == null) {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      } else {
+        return startTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        startTime_ = value;
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (startTimeBuilder_ == null) {
+        startTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (startTime_ != null) {
+          startTime_ =
+              com.google.protobuf.Timestamp.newBuilder(startTime_).mergeFrom(value).buildPartial();
+        } else {
+          startTime_ = value;
+        }
+        onChanged();
+      } else {
+        startTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearStartTime() {
+      if (startTimeBuilder_ == null) {
+        startTime_ = null;
+        onChanged();
+      } else {
+        startTime_ = null;
+        startTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
+
+      onChanged();
+      return getStartTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+      if (startTimeBuilder_ != null) {
+        return startTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline for the first time entered the
+     * `PIPELINE_STATE_RUNNING` state.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getStartTimeFieldBuilder() {
+      if (startTimeBuilder_ == null) {
+        startTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getStartTime(), getParentForChildren(), isClean());
+        startTime_ = null;
+      }
+      return startTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp endTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        endTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the endTime field is set.
+     */
+    public boolean hasEndTime() {
+      return endTimeBuilder_ != null || endTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The endTime.
+     */
+    public com.google.protobuf.Timestamp getEndTime() {
+      if (endTimeBuilder_ == null) {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      } else {
+        return endTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        endTime_ = value;
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (endTimeBuilder_ == null) {
+        endTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (endTime_ != null) {
+          endTime_ =
+              com.google.protobuf.Timestamp.newBuilder(endTime_).mergeFrom(value).buildPartial();
+        } else {
+          endTime_ = value;
+        }
+        onChanged();
+      } else {
+        endTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearEndTime() {
+      if (endTimeBuilder_ == null) {
+        endTime_ = null;
+        onChanged();
+      } else {
+        endTime_ = null;
+        endTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
+
+      onChanged();
+      return getEndTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+      if (endTimeBuilder_ != null) {
+        return endTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline entered any of the following states:
+     * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+     * `PIPELINE_STATE_CANCELLED`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getEndTimeFieldBuilder() {
+      if (endTimeBuilder_ == null) {
+        endTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getEndTime(), getParentForChildren(), isClean());
+        endTime_ = null;
+      }
+      return endTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp updateTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        updateTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the updateTime field is set.
+     */
+    public boolean hasUpdateTime() {
+      return updateTimeBuilder_ != null || updateTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The updateTime.
+     */
+    public com.google.protobuf.Timestamp getUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      } else {
+        return updateTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateTime_ = value;
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeUpdateTime(com.google.protobuf.Timestamp value) {
+      if (updateTimeBuilder_ == null) {
+        if (updateTime_ != null) {
+          updateTime_ =
+              com.google.protobuf.Timestamp.newBuilder(updateTime_).mergeFrom(value).buildPartial();
+        } else {
+          updateTime_ = value;
+        }
+        onChanged();
+      } else {
+        updateTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearUpdateTime() {
+      if (updateTimeBuilder_ == null) {
+        updateTime_ = null;
+        onChanged();
+      } else {
+        updateTime_ = null;
+        updateTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder() {
+
+      onChanged();
+      return getUpdateTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
+      if (updateTimeBuilder_ != null) {
+        return updateTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return updateTime_ == null
+            ? com.google.protobuf.Timestamp.getDefaultInstance()
+            : updateTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the TrainingPipeline was most recently updated.
+     * </pre>
+     *
+     * <code>
+     * .google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getUpdateTimeFieldBuilder() {
+      if (updateTimeBuilder_ == null) {
+        updateTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getUpdateTime(), getParentForChildren(), isClean());
+        updateTime_ = null;
+      }
+      return updateTimeBuilder_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> labels_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String> internalGetLabels() {
+      if (labels_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      return labels_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
+        internalGetMutableLabels() {
+      onChanged();
+      ;
+      if (labels_ == null) {
+        labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
+      }
+      if (!labels_.isMutable()) {
+        labels_ = labels_.copy();
+      }
+      return labels_;
+    }
+
+    public int getLabelsCount() {
+      return internalGetLabels().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize TrainingPipelines.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 15;</code>
+     */
+    @java.lang.Override
+    public boolean containsLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetLabels().getMap().containsKey(key);
+    }
+    /** Use {@link #getLabelsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getLabels() {
+      return getLabelsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize TrainingPipelines.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 15;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.String> getLabelsMap() {
+      return internalGetLabels().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize TrainingPipelines.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 15;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrDefault(
+        java.lang.String key, java.lang.String defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize TrainingPipelines.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 15;</code>
+     */
+    @java.lang.Override
+    public java.lang.String getLabelsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.String> map = internalGetLabels().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearLabels() {
+      internalGetMutableLabels().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize TrainingPipelines.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 15;</code>
+     */
+    public Builder removeLabels(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.String> getMutableLabels() {
+      return internalGetMutableLabels().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize TrainingPipelines.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 15;</code>
+     */
+    public Builder putLabels(java.lang.String key, java.lang.String value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableLabels().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The labels with user-defined metadata to organize TrainingPipelines.
+     * Label keys and values can be no longer than 64 characters
+     * (Unicode codepoints), can only contain lowercase letters, numeric
+     * characters, underscores and dashes. International characters are allowed.
+     * See https://goo.gl/xmQnxf for more information and examples of labels.
+     * </pre>
+     *
+     * <code>map&lt;string, string&gt; labels = 15;</code>
+     */
+    public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> values) {
+      internalGetMutableLabels().getMutableMap().putAll(values);
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.TrainingPipeline)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.TrainingPipeline)
+  private static final com.google.cloud.aiplatform.v1.TrainingPipeline DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.TrainingPipeline();
+  }
+
+  public static com.google.cloud.aiplatform.v1.TrainingPipeline getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TrainingPipeline> PARSER =
+      new com.google.protobuf.AbstractParser<TrainingPipeline>() {
+        @java.lang.Override
+        public TrainingPipeline parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TrainingPipeline(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TrainingPipeline> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TrainingPipeline> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.TrainingPipeline getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineName.java
new file mode 100644
index 000000000..2d48eecad
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineName.java
@@ -0,0 +1,227 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class TrainingPipelineName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_TRAINING_PIPELINE =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String trainingPipeline;
+
+  @Deprecated
+  protected TrainingPipelineName() {
+    project = null;
+    location = null;
+    trainingPipeline = null;
+  }
+
+  private TrainingPipelineName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    trainingPipeline = Preconditions.checkNotNull(builder.getTrainingPipeline());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getTrainingPipeline() {
+    return trainingPipeline;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static TrainingPipelineName of(String project, String location, String trainingPipeline) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setTrainingPipeline(trainingPipeline)
+        .build();
+  }
+
+  public static String format(String project, String location, String trainingPipeline) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setTrainingPipeline(trainingPipeline)
+        .build()
+        .toString();
+  }
+
+  public static TrainingPipelineName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_TRAINING_PIPELINE.validatedMatch(
+            formattedString, "TrainingPipelineName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("location"), matchMap.get("training_pipeline"));
+  }
+
+  public static List<TrainingPipelineName> parseList(List<String> formattedStrings) {
+    List<TrainingPipelineName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<TrainingPipelineName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (TrainingPipelineName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_TRAINING_PIPELINE.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (trainingPipeline != null) {
+            fieldMapBuilder.put("training_pipeline", trainingPipeline);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_TRAINING_PIPELINE.instantiate(
+        "project", project, "location", location, "training_pipeline", trainingPipeline);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      TrainingPipelineName that = ((TrainingPipelineName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.trainingPipeline, that.trainingPipeline);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(trainingPipeline);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String trainingPipeline;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getTrainingPipeline() {
+      return trainingPipeline;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setTrainingPipeline(String trainingPipeline) {
+      this.trainingPipeline = trainingPipeline;
+      return this;
+    }
+
+    private Builder(TrainingPipelineName trainingPipelineName) {
+      project = trainingPipelineName.project;
+      location = trainingPipelineName.location;
+      trainingPipeline = trainingPipelineName.trainingPipeline;
+    }
+
+    public TrainingPipelineName build() {
+      return new TrainingPipelineName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineOrBuilder.java
new file mode 100644
index 000000000..374c3ffcb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineOrBuilder.java
@@ -0,0 +1,681 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface TrainingPipelineOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.TrainingPipeline)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the TrainingPipeline.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The name.
+   */
+  java.lang.String getName();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Resource name of the TrainingPipeline.
+   * </pre>
+   *
+   * <code>string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for name.
+   */
+  com.google.protobuf.ByteString getNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of this TrainingPipeline.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The user-defined name of this TrainingPipeline.
+   * </pre>
+   *
+   * <code>string display_name = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Specifies AI Platform owned input data that may be used for training the
+   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+   * clear whether this config is used and if there are any special requirements
+   * on how it should be filled. If nothing about this config is mentioned in
+   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+   * TrainingPipeline does not depend on this configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+   *
+   * @return Whether the inputDataConfig field is set.
+   */
+  boolean hasInputDataConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Specifies AI Platform owned input data that may be used for training the
+   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+   * clear whether this config is used and if there are any special requirements
+   * on how it should be filled. If nothing about this config is mentioned in
+   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+   * TrainingPipeline does not depend on this configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+   *
+   * @return The inputDataConfig.
+   */
+  com.google.cloud.aiplatform.v1.InputDataConfig getInputDataConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Specifies AI Platform owned input data that may be used for training the
+   * Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+   * clear whether this config is used and if there are any special requirements
+   * on how it should be filled. If nothing about this config is mentioned in
+   * the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+   * TrainingPipeline does not depend on this configuration.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;</code>
+   */
+  com.google.cloud.aiplatform.v1.InputDataConfigOrBuilder getInputDataConfigOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. A Google Cloud Storage path to the YAML file that defines the training task
+   * which is responsible for producing the model artifact, and may also include
+   * additional auxiliary work.
+   * The definition files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The trainingTaskDefinition.
+   */
+  java.lang.String getTrainingTaskDefinition();
+  /**
+   *
+   *
+   * <pre>
+   * Required. A Google Cloud Storage path to the YAML file that defines the training task
+   * which is responsible for producing the model artifact, and may also include
+   * additional auxiliary work.
+   * The definition files that can be used here are found in
+   * gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+   * Note: The URI given on output will be immutable and probably different,
+   * including the URI scheme, than the one given on input. The output URI will
+   * point to a location where the user only has a read access.
+   * </pre>
+   *
+   * <code>string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for trainingTaskDefinition.
+   */
+  com.google.protobuf.ByteString getTrainingTaskDefinitionBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The training task's parameter(s), as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the trainingTaskInputs field is set.
+   */
+  boolean hasTrainingTaskInputs();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The training task's parameter(s), as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The trainingTaskInputs.
+   */
+  com.google.protobuf.Value getTrainingTaskInputs();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The training task's parameter(s), as specified in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `metadata`. This metadata is an auxiliary runtime and final information
+   * about the training task. While the pipeline is running this information is
+   * populated only at a best effort basis. Only present if the
+   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the trainingTaskMetadata field is set.
+   */
+  boolean hasTrainingTaskMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `metadata`. This metadata is an auxiliary runtime and final information
+   * about the training task. While the pipeline is running this information is
+   * populated only at a best effort basis. Only present if the
+   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The trainingTaskMetadata.
+   */
+  com.google.protobuf.Value getTrainingTaskMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+   * `metadata`. This metadata is an auxiliary runtime and final information
+   * about the training task. While the pipeline is running this information is
+   * populated only at a best effort basis. Only present if the
+   * pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+   * </pre>
+   *
+   * <code>
+   * .google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * by this TrainingPipeline. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+   * description should be populated, and if there are any special requirements
+   * regarding how it should be filled. If nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+   * should not be filled and the training task either uploads the Model without
+   * a need of this information, or that training task does not support
+   * uploading a Model as part of the pipeline.
+   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * the trained Model had been uploaded into AI Platform, then the
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+   * is always uploaded into the Project and Location in which this pipeline
+   * is.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+   *
+   * @return Whether the modelToUpload field is set.
+   */
+  boolean hasModelToUpload();
+  /**
+   *
+   *
+   * <pre>
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * by this TrainingPipeline. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+   * description should be populated, and if there are any special requirements
+   * regarding how it should be filled. If nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+   * should not be filled and the training task either uploads the Model without
+   * a need of this information, or that training task does not support
+   * uploading a Model as part of the pipeline.
+   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * the trained Model had been uploaded into AI Platform, then the
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+   * is always uploaded into the Project and Location in which this pipeline
+   * is.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+   *
+   * @return The modelToUpload.
+   */
+  com.google.cloud.aiplatform.v1.Model getModelToUpload();
+  /**
+   *
+   *
+   * <pre>
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+   * by this TrainingPipeline. The TrainingPipeline's
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+   * description should be populated, and if there are any special requirements
+   * regarding how it should be filled. If nothing is mentioned in the
+   * [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+   * should not be filled and the training task either uploads the Model without
+   * a need of this information, or that training task does not support
+   * uploading a Model as part of the pipeline.
+   * When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+   * the trained Model had been uploaded into AI Platform, then the
+   * model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+   * is always uploaded into the Project and Location in which this pipeline
+   * is.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model_to_upload = 7;</code>
+   */
+  com.google.cloud.aiplatform.v1.ModelOrBuilder getModelToUploadOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the pipeline.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  int getStateValue();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the pipeline.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  com.google.cloud.aiplatform.v1.PipelineState getState();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return Whether the error field is set.
+   */
+  boolean hasError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The error.
+   */
+  com.google.rpc.Status getError();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   */
+  com.google.rpc.StatusOrBuilder getErrorOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the createTime field is set.
+   */
+  boolean hasCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The createTime.
+   */
+  com.google.protobuf.Timestamp getCreateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was created.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline for the first time entered the
+   * `PIPELINE_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  boolean hasStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline for the first time entered the
+   * `PIPELINE_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  com.google.protobuf.Timestamp getStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline for the first time entered the
+   * `PIPELINE_STATE_RUNNING` state.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline entered any of the following states:
+   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  boolean hasEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline entered any of the following states:
+   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  com.google.protobuf.Timestamp getEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline entered any of the following states:
+   * `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+   * `PIPELINE_STATE_CANCELLED`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the updateTime field is set.
+   */
+  boolean hasUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The updateTime.
+   */
+  com.google.protobuf.Timestamp getUpdateTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the TrainingPipeline was most recently updated.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  int getLabelsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  boolean containsLabels(java.lang.String key);
+  /** Use {@link #getLabelsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.String> getLabels();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.String> getLabelsMap();
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  java.lang.String getLabelsOrDefault(java.lang.String key, java.lang.String defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * The labels with user-defined metadata to organize TrainingPipelines.
+   * Label keys and values can be no longer than 64 characters
+   * (Unicode codepoints), can only contain lowercase letters, numeric
+   * characters, underscores and dashes. International characters are allowed.
+   * See https://goo.gl/xmQnxf for more information and examples of labels.
+   * </pre>
+   *
+   * <code>map&lt;string, string&gt; labels = 15;</code>
+   */
+  java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;</code>
+   */
+  com.google.cloud.aiplatform.v1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineProto.java
new file mode 100644
index 000000000..7340a3bd9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrainingPipelineProto.java
@@ -0,0 +1,253 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/training_pipeline.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class TrainingPipelineProto {
+  private TrainingPipelineProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_TrainingPipeline_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_TrainingPipeline_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_TrainingPipeline_LabelsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_TrainingPipeline_LabelsEntry_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_InputDataConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_InputDataConfig_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_FractionSplit_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_FractionSplit_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_FilterSplit_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_FilterSplit_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_PredefinedSplit_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_PredefinedSplit_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_TimestampSplit_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_TimestampSplit_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n2google/cloud/aiplatform/v1/training_pi"
+          + "peline.proto\022\032google.cloud.aiplatform.v1"
+          + "\032\037google/api/field_behavior.proto\032\031googl"
+          + "e/api/resource.proto\0320google/cloud/aipla"
+          + "tform/v1/encryption_spec.proto\032#google/c"
+          + "loud/aiplatform/v1/io.proto\0322google/clou"
+          + "d/aiplatform/v1/machine_resources.proto\032"
+          + "?google/cloud/aiplatform/v1/manual_batch"
+          + "_tuning_parameters.proto\032&google/cloud/a"
+          + "iplatform/v1/model.proto\032/google/cloud/a"
+          + "iplatform/v1/pipeline_state.proto\032\034googl"
+          + "e/protobuf/struct.proto\032\037google/protobuf"
+          + "/timestamp.proto\032\027google/rpc/status.prot"
+          + "o\032\034google/api/annotations.proto\"\334\007\n\020Trai"
+          + "ningPipeline\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014displ"
+          + "ay_name\030\002 \001(\tB\003\340A\002\022F\n\021input_data_config\030"
+          + "\003 \001(\0132+.google.cloud.aiplatform.v1.Input"
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+          + "gle.cloud.aiplatform.v1.Model\022=\n\005state\030\t"
+          + " \001(\0162).google.cloud.aiplatform.v1.Pipeli"
+          + "neStateB\003\340A\003\022&\n\005error\030\n \001(\0132\022.google.rpc"
+          + ".StatusB\003\340A\003\0224\n\013create_time\030\013 \001(\0132\032.goog"
+          + "le.protobuf.TimestampB\003\340A\003\0223\n\nstart_time"
+          + "\030\014 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
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+          + "stampB\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google"
+          + ".protobuf.TimestampB\003\340A\003\022H\n\006labels\030\017 \003(\013"
+          + "28.google.cloud.aiplatform.v1.TrainingPi"
+          + "peline.LabelsEntry\022C\n\017encryption_spec\030\022 "
+          + "\001(\0132*.google.cloud.aiplatform.v1.Encrypt"
+          + "ionSpec\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005v"
+          + "alue\030\002 \001(\t:\0028\001:~\352A{\n*aiplatform.googleap"
+          + "is.com/TrainingPipeline\022Mprojects/{proje"
+          + "ct}/locations/{location}/trainingPipelin"
+          + "es/{training_pipeline}\"\253\004\n\017InputDataConf"
+          + "ig\022C\n\016fraction_split\030\002 \001(\0132).google.clou"
+          + "d.aiplatform.v1.FractionSplitH\000\022?\n\014filte"
+          + "r_split\030\003 \001(\0132\'.google.cloud.aiplatform."
+          + "v1.FilterSplitH\000\022G\n\020predefined_split\030\004 \001"
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+          + "edSplitH\000\022E\n\017timestamp_split\030\005 \001(\0132*.goo"
+          + "gle.cloud.aiplatform.v1.TimestampSplitH\000"
+          + "\022E\n\017gcs_destination\030\010 \001(\0132*.google.cloud"
+          + ".aiplatform.v1.GcsDestinationH\001\022O\n\024bigqu"
+          + "ery_destination\030\n \001(\0132/.google.cloud.aip"
+          + "latform.v1.BigQueryDestinationH\001\022\027\n\ndata"
+          + "set_id\030\001 \001(\tB\003\340A\002\022\032\n\022annotations_filter\030"
+          + "\006 \001(\t\022\035\n\025annotation_schema_uri\030\t \001(\tB\007\n\005"
+          + "splitB\r\n\013destination\"^\n\rFractionSplit\022\031\n"
+          + "\021training_fraction\030\001 \001(\001\022\033\n\023validation_f"
+          + "raction\030\002 \001(\001\022\025\n\rtest_fraction\030\003 \001(\001\"e\n\013"
+          + "FilterSplit\022\034\n\017training_filter\030\001 \001(\tB\003\340A"
+          + "\002\022\036\n\021validation_filter\030\002 \001(\tB\003\340A\002\022\030\n\013tes"
+          + "t_filter\030\003 \001(\tB\003\340A\002\"#\n\017PredefinedSplit\022\020"
+          + "\n\003key\030\001 \001(\tB\003\340A\002\"q\n\016TimestampSplit\022\031\n\021tr"
+          + "aining_fraction\030\001 \001(\001\022\033\n\023validation_frac"
+          + "tion\030\002 \001(\001\022\025\n\rtest_fraction\030\003 \001(\001\022\020\n\003key"
+          + "\030\004 \001(\tB\003\340A\002B\177\n\036com.google.cloud.aiplatfo"
+          + "rm.v1B\025TrainingPipelineProtoP\001ZDgoogle.g"
+          + "olang.org/genproto/googleapis/cloud/aipl"
+          + "atform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.IoProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.MachineResourcesProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.ModelProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1.PipelineStateProto.getDescriptor(),
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_TrainingPipeline_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_TrainingPipeline_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_TrainingPipeline_descriptor,
+            new java.lang.String[] {
+              "Name",
+              "DisplayName",
+              "InputDataConfig",
+              "TrainingTaskDefinition",
+              "TrainingTaskInputs",
+              "TrainingTaskMetadata",
+              "ModelToUpload",
+              "State",
+              "Error",
+              "CreateTime",
+              "StartTime",
+              "EndTime",
+              "UpdateTime",
+              "Labels",
+              "EncryptionSpec",
+            });
+    internal_static_google_cloud_aiplatform_v1_TrainingPipeline_LabelsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1_TrainingPipeline_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_TrainingPipeline_LabelsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_TrainingPipeline_LabelsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
+    internal_static_google_cloud_aiplatform_v1_InputDataConfig_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_InputDataConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_InputDataConfig_descriptor,
+            new java.lang.String[] {
+              "FractionSplit",
+              "FilterSplit",
+              "PredefinedSplit",
+              "TimestampSplit",
+              "GcsDestination",
+              "BigqueryDestination",
+              "DatasetId",
+              "AnnotationsFilter",
+              "AnnotationSchemaUri",
+              "Split",
+              "Destination",
+            });
+    internal_static_google_cloud_aiplatform_v1_FractionSplit_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_FractionSplit_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_FractionSplit_descriptor,
+            new java.lang.String[] {
+              "TrainingFraction", "ValidationFraction", "TestFraction",
+            });
+    internal_static_google_cloud_aiplatform_v1_FilterSplit_descriptor =
+        getDescriptor().getMessageTypes().get(3);
+    internal_static_google_cloud_aiplatform_v1_FilterSplit_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_FilterSplit_descriptor,
+            new java.lang.String[] {
+              "TrainingFilter", "ValidationFilter", "TestFilter",
+            });
+    internal_static_google_cloud_aiplatform_v1_PredefinedSplit_descriptor =
+        getDescriptor().getMessageTypes().get(4);
+    internal_static_google_cloud_aiplatform_v1_PredefinedSplit_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_PredefinedSplit_descriptor,
+            new java.lang.String[] {
+              "Key",
+            });
+    internal_static_google_cloud_aiplatform_v1_TimestampSplit_descriptor =
+        getDescriptor().getMessageTypes().get(5);
+    internal_static_google_cloud_aiplatform_v1_TimestampSplit_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_TimestampSplit_descriptor,
+            new java.lang.String[] {
+              "TrainingFraction", "ValidationFraction", "TestFraction", "Key",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.EncryptionSpecProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.IoProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.MachineResourcesProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.ModelProto.getDescriptor();
+    com.google.cloud.aiplatform.v1.PipelineStateProto.getDescriptor();
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Trial.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Trial.java
new file mode 100644
index 000000000..0c276de45
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/Trial.java
@@ -0,0 +1,3653 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/study.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * A message representing a Trial. A Trial contains a unique set of Parameters
+ * that has been or will be evaluated, along with the objective metrics got by
+ * running the Trial.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.Trial}
+ */
+public final class Trial extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Trial)
+    TrialOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use Trial.newBuilder() to construct.
+  private Trial(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private Trial() {
+    id_ = "";
+    state_ = 0;
+    parameters_ = java.util.Collections.emptyList();
+    customJob_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new Trial();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private Trial(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              id_ = s;
+              break;
+            }
+          case 24:
+            {
+              int rawValue = input.readEnum();
+
+              state_ = rawValue;
+              break;
+            }
+          case 34:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                parameters_ =
+                    new java.util.ArrayList<com.google.cloud.aiplatform.v1.Trial.Parameter>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              parameters_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Trial.Parameter.parser(), extensionRegistry));
+              break;
+            }
+          case 42:
+            {
+              com.google.cloud.aiplatform.v1.Measurement.Builder subBuilder = null;
+              if (finalMeasurement_ != null) {
+                subBuilder = finalMeasurement_.toBuilder();
+              }
+              finalMeasurement_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Measurement.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(finalMeasurement_);
+                finalMeasurement_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 58:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (startTime_ != null) {
+                subBuilder = startTime_.toBuilder();
+              }
+              startTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(startTime_);
+                startTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 66:
+            {
+              com.google.protobuf.Timestamp.Builder subBuilder = null;
+              if (endTime_ != null) {
+                subBuilder = endTime_.toBuilder();
+              }
+              endTime_ =
+                  input.readMessage(com.google.protobuf.Timestamp.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(endTime_);
+                endTime_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 90:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              customJob_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        parameters_ = java.util.Collections.unmodifiableList(parameters_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.StudyProto
+        .internal_static_google_cloud_aiplatform_v1_Trial_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.StudyProto
+        .internal_static_google_cloud_aiplatform_v1_Trial_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.Trial.class,
+            com.google.cloud.aiplatform.v1.Trial.Builder.class);
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * Describes a Trial state.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1.Trial.State}
+   */
+  public enum State implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * The Trial state is unspecified.
+     * </pre>
+     *
+     * <code>STATE_UNSPECIFIED = 0;</code>
+     */
+    STATE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that a specific Trial has been requested, but it has not yet
+     * been suggested by the service.
+     * </pre>
+     *
+     * <code>REQUESTED = 1;</code>
+     */
+    REQUESTED(1),
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that the Trial has been suggested.
+     * </pre>
+     *
+     * <code>ACTIVE = 2;</code>
+     */
+    ACTIVE(2),
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that the Trial should stop according to the service.
+     * </pre>
+     *
+     * <code>STOPPING = 3;</code>
+     */
+    STOPPING(3),
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that the Trial is completed successfully.
+     * </pre>
+     *
+     * <code>SUCCEEDED = 4;</code>
+     */
+    SUCCEEDED(4),
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that the Trial should not be attempted again.
+     * The service will set a Trial to INFEASIBLE when it's done but missing
+     * the final_measurement.
+     * </pre>
+     *
+     * <code>INFEASIBLE = 5;</code>
+     */
+    INFEASIBLE(5),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * The Trial state is unspecified.
+     * </pre>
+     *
+     * <code>STATE_UNSPECIFIED = 0;</code>
+     */
+    public static final int STATE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that a specific Trial has been requested, but it has not yet
+     * been suggested by the service.
+     * </pre>
+     *
+     * <code>REQUESTED = 1;</code>
+     */
+    public static final int REQUESTED_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that the Trial has been suggested.
+     * </pre>
+     *
+     * <code>ACTIVE = 2;</code>
+     */
+    public static final int ACTIVE_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that the Trial should stop according to the service.
+     * </pre>
+     *
+     * <code>STOPPING = 3;</code>
+     */
+    public static final int STOPPING_VALUE = 3;
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that the Trial is completed successfully.
+     * </pre>
+     *
+     * <code>SUCCEEDED = 4;</code>
+     */
+    public static final int SUCCEEDED_VALUE = 4;
+    /**
+     *
+     *
+     * <pre>
+     * Indicates that the Trial should not be attempted again.
+     * The service will set a Trial to INFEASIBLE when it's done but missing
+     * the final_measurement.
+     * </pre>
+     *
+     * <code>INFEASIBLE = 5;</code>
+     */
+    public static final int INFEASIBLE_VALUE = 5;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static State valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static State forNumber(int value) {
+      switch (value) {
+        case 0:
+          return STATE_UNSPECIFIED;
+        case 1:
+          return REQUESTED;
+        case 2:
+          return ACTIVE;
+        case 3:
+          return STOPPING;
+        case 4:
+          return SUCCEEDED;
+        case 5:
+          return INFEASIBLE;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<State> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<State> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<State>() {
+          public State findValueByNumber(int number) {
+            return State.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.Trial.getDescriptor().getEnumTypes().get(0);
+    }
+
+    private static final State[] VALUES = values();
+
+    public static State valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private State(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.Trial.State)
+  }
+
+  public interface ParameterOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Trial.Parameter)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the parameter. The parameter should be defined in
+     * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+     * </pre>
+     *
+     * <code>string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The parameterId.
+     */
+    java.lang.String getParameterId();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the parameter. The parameter should be defined in
+     * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+     * </pre>
+     *
+     * <code>string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for parameterId.
+     */
+    com.google.protobuf.ByteString getParameterIdBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The value of the parameter.
+     * `number_value` will be set if a parameter defined in StudySpec is
+     * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+     * `string_value` will be set if a parameter defined in StudySpec is
+     * in type 'CATEGORICAL'.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return Whether the value field is set.
+     */
+    boolean hasValue();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The value of the parameter.
+     * `number_value` will be set if a parameter defined in StudySpec is
+     * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+     * `string_value` will be set if a parameter defined in StudySpec is
+     * in type 'CATEGORICAL'.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The value.
+     */
+    com.google.protobuf.Value getValue();
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The value of the parameter.
+     * `number_value` will be set if a parameter defined in StudySpec is
+     * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+     * `string_value` will be set if a parameter defined in StudySpec is
+     * in type 'CATEGORICAL'.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     */
+    com.google.protobuf.ValueOrBuilder getValueOrBuilder();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A message representing a parameter to be tuned.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.Trial.Parameter}
+   */
+  public static final class Parameter extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.Trial.Parameter)
+      ParameterOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use Parameter.newBuilder() to construct.
+    private Parameter(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private Parameter() {
+      parameterId_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new Parameter();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private Parameter(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                parameterId_ = s;
+                break;
+              }
+            case 18:
+              {
+                com.google.protobuf.Value.Builder subBuilder = null;
+                if (value_ != null) {
+                  subBuilder = value_.toBuilder();
+                }
+                value_ = input.readMessage(com.google.protobuf.Value.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(value_);
+                  value_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Trial_Parameter_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Trial_Parameter_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.Trial.Parameter.class,
+              com.google.cloud.aiplatform.v1.Trial.Parameter.Builder.class);
+    }
+
+    public static final int PARAMETER_ID_FIELD_NUMBER = 1;
+    private volatile java.lang.Object parameterId_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the parameter. The parameter should be defined in
+     * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+     * </pre>
+     *
+     * <code>string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The parameterId.
+     */
+    @java.lang.Override
+    public java.lang.String getParameterId() {
+      java.lang.Object ref = parameterId_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parameterId_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The ID of the parameter. The parameter should be defined in
+     * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+     * </pre>
+     *
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+     * `number_value` will be set if a parameter defined in StudySpec is
+     * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+     * `string_value` will be set if a parameter defined in StudySpec is
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+     *
+     * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+     *
+     *
+     * <pre>
+     * Output only. The value of the parameter.
+     * `number_value` will be set if a parameter defined in StudySpec is
+     * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+     * `string_value` will be set if a parameter defined in StudySpec is
+     * in type 'CATEGORICAL'.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The value.
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+      return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_;
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+    /**
+     *
+     *
+     * <pre>
+     * Output only. The value of the parameter.
+     * `number_value` will be set if a parameter defined in StudySpec is
+     * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+     * `string_value` will be set if a parameter defined in StudySpec is
+     * in type 'CATEGORICAL'.
+     * </pre>
+     *
+     * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
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+      if (!getParameterId().equals(other.getParameterId())) return false;
+      if (hasValue() != other.hasValue()) return false;
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+      return PARSER.parseFrom(data);
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+      return PARSER.parseFrom(data, extensionRegistry);
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+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
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+    public static com.google.cloud.aiplatform.v1.Trial.Parameter parseFrom(
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+      return PARSER.parseFrom(data, extensionRegistry);
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+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Trial.Parameter parseFrom(
+        byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
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+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+    public static com.google.cloud.aiplatform.v1.Trial.Parameter parseFrom(
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+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+        java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+    public static com.google.cloud.aiplatform.v1.Trial.Parameter parseDelimitedFrom(
+        java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
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+
+    public static com.google.cloud.aiplatform.v1.Trial.Parameter parseFrom(
+        com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.Trial.Parameter parseFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
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+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(com.google.cloud.aiplatform.v1.Trial.Parameter prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A message representing a parameter to be tuned.
+     * </pre>
+     *
+     * Protobuf type {@code google.cloud.aiplatform.v1.Trial.Parameter}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.Trial.Parameter)
+        com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_Trial_Parameter_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.StudyProto
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+            .ensureFieldAccessorsInitialized(
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+                com.google.cloud.aiplatform.v1.Trial.Parameter.Builder.class);
+      }
+
+      // Construct using com.google.cloud.aiplatform.v1.Trial.Parameter.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
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+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        parameterId_ = "";
+
+        if (valueBuilder_ == null) {
+          value_ = null;
+        } else {
+          value_ = null;
+          valueBuilder_ = null;
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.StudyProto
+            .internal_static_google_cloud_aiplatform_v1_Trial_Parameter_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Trial.Parameter getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.Trial.Parameter.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Trial.Parameter build() {
+        com.google.cloud.aiplatform.v1.Trial.Parameter result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.Trial.Parameter buildPartial() {
+        com.google.cloud.aiplatform.v1.Trial.Parameter result =
+            new com.google.cloud.aiplatform.v1.Trial.Parameter(this);
+        result.parameterId_ = parameterId_;
+        if (valueBuilder_ == null) {
+          result.value_ = value_;
+        } else {
+          result.value_ = valueBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other instanceof com.google.cloud.aiplatform.v1.Trial.Parameter) {
+          return mergeFrom((com.google.cloud.aiplatform.v1.Trial.Parameter) other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(com.google.cloud.aiplatform.v1.Trial.Parameter other) {
+        if (other == com.google.cloud.aiplatform.v1.Trial.Parameter.getDefaultInstance())
+          return this;
+        if (!other.getParameterId().isEmpty()) {
+          parameterId_ = other.parameterId_;
+          onChanged();
+        }
+        if (other.hasValue()) {
+          mergeValue(other.getValue());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.Trial.Parameter parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage = (com.google.cloud.aiplatform.v1.Trial.Parameter) e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object parameterId_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the parameter. The parameter should be defined in
+       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The parameterId.
+       */
+      public java.lang.String getParameterId() {
+        java.lang.Object ref = parameterId_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          parameterId_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the parameter. The parameter should be defined in
+       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The bytes for parameterId.
+       */
+      public com.google.protobuf.ByteString getParameterIdBytes() {
+        java.lang.Object ref = parameterId_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          parameterId_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the parameter. The parameter should be defined in
+       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The parameterId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setParameterId(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        parameterId_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the parameter. The parameter should be defined in
+       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearParameterId() {
+
+        parameterId_ = getDefaultInstance().getParameterId();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The ID of the parameter. The parameter should be defined in
+       * [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+       * </pre>
+       *
+       * <code>string parameter_id = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @param value The bytes for parameterId to set.
+       * @return This builder for chaining.
+       */
+      public Builder setParameterIdBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        parameterId_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.protobuf.Value value_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.Value,
+              com.google.protobuf.Value.Builder,
+              com.google.protobuf.ValueOrBuilder>
+          valueBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return Whether the value field is set.
+       */
+      public boolean hasValue() {
+        return valueBuilder_ != null || value_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       *
+       * @return The value.
+       */
+      public com.google.protobuf.Value getValue() {
+        if (valueBuilder_ == null) {
+          return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_;
+        } else {
+          return valueBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       */
+      public Builder setValue(com.google.protobuf.Value value) {
+        if (valueBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          value_ = value;
+          onChanged();
+        } else {
+          valueBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       */
+      public Builder setValue(com.google.protobuf.Value.Builder builderForValue) {
+        if (valueBuilder_ == null) {
+          value_ = builderForValue.build();
+          onChanged();
+        } else {
+          valueBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       */
+      public Builder mergeValue(com.google.protobuf.Value value) {
+        if (valueBuilder_ == null) {
+          if (value_ != null) {
+            value_ = com.google.protobuf.Value.newBuilder(value_).mergeFrom(value).buildPartial();
+          } else {
+            value_ = value;
+          }
+          onChanged();
+        } else {
+          valueBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       */
+      public Builder clearValue() {
+        if (valueBuilder_ == null) {
+          value_ = null;
+          onChanged();
+        } else {
+          value_ = null;
+          valueBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       */
+      public com.google.protobuf.Value.Builder getValueBuilder() {
+
+        onChanged();
+        return getValueFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       */
+      public com.google.protobuf.ValueOrBuilder getValueOrBuilder() {
+        if (valueBuilder_ != null) {
+          return valueBuilder_.getMessageOrBuilder();
+        } else {
+          return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Output only. The value of the parameter.
+       * `number_value` will be set if a parameter defined in StudySpec is
+       * in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+       * `string_value` will be set if a parameter defined in StudySpec is
+       * in type 'CATEGORICAL'.
+       * </pre>
+       *
+       * <code>.google.protobuf.Value value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.Value,
+              com.google.protobuf.Value.Builder,
+              com.google.protobuf.ValueOrBuilder>
+          getValueFieldBuilder() {
+        if (valueBuilder_ == null) {
+          valueBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.protobuf.Value,
+                  com.google.protobuf.Value.Builder,
+                  com.google.protobuf.ValueOrBuilder>(
+                  getValue(), getParentForChildren(), isClean());
+          value_ = null;
+        }
+        return valueBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Trial.Parameter)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Trial.Parameter)
+    private static final com.google.cloud.aiplatform.v1.Trial.Parameter DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Trial.Parameter();
+    }
+
+    public static com.google.cloud.aiplatform.v1.Trial.Parameter getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<Parameter> PARSER =
+        new com.google.protobuf.AbstractParser<Parameter>() {
+          @java.lang.Override
+          public Parameter parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new Parameter(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<Parameter> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<Parameter> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Trial.Parameter getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int ID_FIELD_NUMBER = 2;
+  private volatile java.lang.Object id_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The identifier of the Trial assigned by the service.
+   * </pre>
+   *
+   * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The id.
+   */
+  @java.lang.Override
+  public java.lang.String getId() {
+    java.lang.Object ref = id_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      id_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The identifier of the Trial assigned by the service.
+   * </pre>
+   *
+   * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for id.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getIdBytes() {
+    java.lang.Object ref = id_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      id_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int STATE_FIELD_NUMBER = 3;
+  private int state_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the Trial.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  @java.lang.Override
+  public int getStateValue() {
+    return state_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the Trial.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Trial.State getState() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.Trial.State result =
+        com.google.cloud.aiplatform.v1.Trial.State.valueOf(state_);
+    return result == null ? com.google.cloud.aiplatform.v1.Trial.State.UNRECOGNIZED : result;
+  }
+
+  public static final int PARAMETERS_FIELD_NUMBER = 4;
+  private java.util.List<com.google.cloud.aiplatform.v1.Trial.Parameter> parameters_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.cloud.aiplatform.v1.Trial.Parameter> getParametersList() {
+    return parameters_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder>
+      getParametersOrBuilderList() {
+    return parameters_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getParametersCount() {
+    return parameters_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Trial.Parameter getParameters(int index) {
+    return parameters_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder getParametersOrBuilder(int index) {
+    return parameters_.get(index);
+  }
+
+  public static final int FINAL_MEASUREMENT_FIELD_NUMBER = 5;
+  private com.google.cloud.aiplatform.v1.Measurement finalMeasurement_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The final measurement containing the objective value.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the finalMeasurement field is set.
+   */
+  @java.lang.Override
+  public boolean hasFinalMeasurement() {
+    return finalMeasurement_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The final measurement containing the objective value.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The finalMeasurement.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Measurement getFinalMeasurement() {
+    return finalMeasurement_ == null
+        ? com.google.cloud.aiplatform.v1.Measurement.getDefaultInstance()
+        : finalMeasurement_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The final measurement containing the objective value.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MeasurementOrBuilder getFinalMeasurementOrBuilder() {
+    return getFinalMeasurement();
+  }
+
+  public static final int START_TIME_FIELD_NUMBER = 7;
+  private com.google.protobuf.Timestamp startTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial was started.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasStartTime() {
+    return startTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial was started.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getStartTime() {
+    return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial was started.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+    return getStartTime();
+  }
+
+  public static final int END_TIME_FIELD_NUMBER = 8;
+  private com.google.protobuf.Timestamp endTime_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  @java.lang.Override
+  public boolean hasEndTime() {
+    return endTime_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Timestamp getEndTime() {
+    return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+    return getEndTime();
+  }
+
+  public static final int CUSTOM_JOB_FIELD_NUMBER = 11;
+  private volatile java.lang.Object customJob_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The CustomJob name linked to the Trial.
+   * It's set for a HyperparameterTuningJob's Trial.
+   * </pre>
+   *
+   * <code>
+   * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The customJob.
+   */
+  @java.lang.Override
+  public java.lang.String getCustomJob() {
+    java.lang.Object ref = customJob_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      customJob_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The CustomJob name linked to the Trial.
+   * It's set for a HyperparameterTuningJob's Trial.
+   * </pre>
+   *
+   * <code>
+   * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for customJob.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getCustomJobBytes() {
+    java.lang.Object ref = customJob_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      customJob_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, id_);
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.Trial.State.STATE_UNSPECIFIED.getNumber()) {
+      output.writeEnum(3, state_);
+    }
+    for (int i = 0; i < parameters_.size(); i++) {
+      output.writeMessage(4, parameters_.get(i));
+    }
+    if (finalMeasurement_ != null) {
+      output.writeMessage(5, getFinalMeasurement());
+    }
+    if (startTime_ != null) {
+      output.writeMessage(7, getStartTime());
+    }
+    if (endTime_ != null) {
+      output.writeMessage(8, getEndTime());
+    }
+    if (!getCustomJobBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 11, customJob_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getIdBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, id_);
+    }
+    if (state_ != com.google.cloud.aiplatform.v1.Trial.State.STATE_UNSPECIFIED.getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(3, state_);
+    }
+    for (int i = 0; i < parameters_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, parameters_.get(i));
+    }
+    if (finalMeasurement_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getFinalMeasurement());
+    }
+    if (startTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(7, getStartTime());
+    }
+    if (endTime_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getEndTime());
+    }
+    if (!getCustomJobBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(11, customJob_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.Trial)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.Trial other = (com.google.cloud.aiplatform.v1.Trial) obj;
+
+    if (!getId().equals(other.getId())) return false;
+    if (state_ != other.state_) return false;
+    if (!getParametersList().equals(other.getParametersList())) return false;
+    if (hasFinalMeasurement() != other.hasFinalMeasurement()) return false;
+    if (hasFinalMeasurement()) {
+      if (!getFinalMeasurement().equals(other.getFinalMeasurement())) return false;
+    }
+    if (hasStartTime() != other.hasStartTime()) return false;
+    if (hasStartTime()) {
+      if (!getStartTime().equals(other.getStartTime())) return false;
+    }
+    if (hasEndTime() != other.hasEndTime()) return false;
+    if (hasEndTime()) {
+      if (!getEndTime().equals(other.getEndTime())) return false;
+    }
+    if (!getCustomJob().equals(other.getCustomJob())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + ID_FIELD_NUMBER;
+    hash = (53 * hash) + getId().hashCode();
+    hash = (37 * hash) + STATE_FIELD_NUMBER;
+    hash = (53 * hash) + state_;
+    if (getParametersCount() > 0) {
+      hash = (37 * hash) + PARAMETERS_FIELD_NUMBER;
+      hash = (53 * hash) + getParametersList().hashCode();
+    }
+    if (hasFinalMeasurement()) {
+      hash = (37 * hash) + FINAL_MEASUREMENT_FIELD_NUMBER;
+      hash = (53 * hash) + getFinalMeasurement().hashCode();
+    }
+    if (hasStartTime()) {
+      hash = (37 * hash) + START_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getStartTime().hashCode();
+    }
+    if (hasEndTime()) {
+      hash = (37 * hash) + END_TIME_FIELD_NUMBER;
+      hash = (53 * hash) + getEndTime().hashCode();
+    }
+    hash = (37 * hash) + CUSTOM_JOB_FIELD_NUMBER;
+    hash = (53 * hash) + getCustomJob().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseDelimitedFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.Trial prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A message representing a Trial. A Trial contains a unique set of Parameters
+   * that has been or will be evaluated, along with the objective metrics got by
+   * running the Trial.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.Trial}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.Trial)
+      com.google.cloud.aiplatform.v1.TrialOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Trial_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Trial_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.Trial.class,
+              com.google.cloud.aiplatform.v1.Trial.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.Trial.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getParametersFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      id_ = "";
+
+      state_ = 0;
+
+      if (parametersBuilder_ == null) {
+        parameters_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        parametersBuilder_.clear();
+      }
+      if (finalMeasurementBuilder_ == null) {
+        finalMeasurement_ = null;
+      } else {
+        finalMeasurement_ = null;
+        finalMeasurementBuilder_ = null;
+      }
+      if (startTimeBuilder_ == null) {
+        startTime_ = null;
+      } else {
+        startTime_ = null;
+        startTimeBuilder_ = null;
+      }
+      if (endTimeBuilder_ == null) {
+        endTime_ = null;
+      } else {
+        endTime_ = null;
+        endTimeBuilder_ = null;
+      }
+      customJob_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.StudyProto
+          .internal_static_google_cloud_aiplatform_v1_Trial_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Trial getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.Trial.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Trial build() {
+      com.google.cloud.aiplatform.v1.Trial result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Trial buildPartial() {
+      com.google.cloud.aiplatform.v1.Trial result = new com.google.cloud.aiplatform.v1.Trial(this);
+      int from_bitField0_ = bitField0_;
+      result.id_ = id_;
+      result.state_ = state_;
+      if (parametersBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          parameters_ = java.util.Collections.unmodifiableList(parameters_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.parameters_ = parameters_;
+      } else {
+        result.parameters_ = parametersBuilder_.build();
+      }
+      if (finalMeasurementBuilder_ == null) {
+        result.finalMeasurement_ = finalMeasurement_;
+      } else {
+        result.finalMeasurement_ = finalMeasurementBuilder_.build();
+      }
+      if (startTimeBuilder_ == null) {
+        result.startTime_ = startTime_;
+      } else {
+        result.startTime_ = startTimeBuilder_.build();
+      }
+      if (endTimeBuilder_ == null) {
+        result.endTime_ = endTime_;
+      } else {
+        result.endTime_ = endTimeBuilder_.build();
+      }
+      result.customJob_ = customJob_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.Trial) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.Trial) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.Trial other) {
+      if (other == com.google.cloud.aiplatform.v1.Trial.getDefaultInstance()) return this;
+      if (!other.getId().isEmpty()) {
+        id_ = other.id_;
+        onChanged();
+      }
+      if (other.state_ != 0) {
+        setStateValue(other.getStateValue());
+      }
+      if (parametersBuilder_ == null) {
+        if (!other.parameters_.isEmpty()) {
+          if (parameters_.isEmpty()) {
+            parameters_ = other.parameters_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureParametersIsMutable();
+            parameters_.addAll(other.parameters_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.parameters_.isEmpty()) {
+          if (parametersBuilder_.isEmpty()) {
+            parametersBuilder_.dispose();
+            parametersBuilder_ = null;
+            parameters_ = other.parameters_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            parametersBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getParametersFieldBuilder()
+                    : null;
+          } else {
+            parametersBuilder_.addAllMessages(other.parameters_);
+          }
+        }
+      }
+      if (other.hasFinalMeasurement()) {
+        mergeFinalMeasurement(other.getFinalMeasurement());
+      }
+      if (other.hasStartTime()) {
+        mergeStartTime(other.getStartTime());
+      }
+      if (other.hasEndTime()) {
+        mergeEndTime(other.getEndTime());
+      }
+      if (!other.getCustomJob().isEmpty()) {
+        customJob_ = other.customJob_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.Trial parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.Trial) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object id_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The identifier of the Trial assigned by the service.
+     * </pre>
+     *
+     * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The id.
+     */
+    public java.lang.String getId() {
+      java.lang.Object ref = id_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        id_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The identifier of the Trial assigned by the service.
+     * </pre>
+     *
+     * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return The bytes for id.
+     */
+    public com.google.protobuf.ByteString getIdBytes() {
+      java.lang.Object ref = id_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        id_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The identifier of the Trial assigned by the service.
+     * </pre>
+     *
+     * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The id to set.
+     * @return This builder for chaining.
+     */
+    public Builder setId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      id_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The identifier of the Trial assigned by the service.
+     * </pre>
+     *
+     * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearId() {
+
+      id_ = getDefaultInstance().getId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The identifier of the Trial assigned by the service.
+     * </pre>
+     *
+     * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+     *
+     * @param value The bytes for id to set.
+     * @return This builder for chaining.
+     */
+    public Builder setIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      id_ = value;
+      onChanged();
+      return this;
+    }
+
+    private int state_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the Trial.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The enum numeric value on the wire for state.
+     */
+    @java.lang.Override
+    public int getStateValue() {
+      return state_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the Trial.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setStateValue(int value) {
+
+      state_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the Trial.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The state.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.Trial.State getState() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.Trial.State result =
+          com.google.cloud.aiplatform.v1.Trial.State.valueOf(state_);
+      return result == null ? com.google.cloud.aiplatform.v1.Trial.State.UNRECOGNIZED : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the Trial.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @param value The state to set.
+     * @return This builder for chaining.
+     */
+    public Builder setState(com.google.cloud.aiplatform.v1.Trial.State value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      state_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The detailed state of the Trial.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearState() {
+
+      state_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.cloud.aiplatform.v1.Trial.Parameter> parameters_ =
+        java.util.Collections.emptyList();
+
+    private void ensureParametersIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        parameters_ =
+            new java.util.ArrayList<com.google.cloud.aiplatform.v1.Trial.Parameter>(parameters_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Trial.Parameter,
+            com.google.cloud.aiplatform.v1.Trial.Parameter.Builder,
+            com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder>
+        parametersBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Trial.Parameter> getParametersList() {
+      if (parametersBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(parameters_);
+      } else {
+        return parametersBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getParametersCount() {
+      if (parametersBuilder_ == null) {
+        return parameters_.size();
+      } else {
+        return parametersBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial.Parameter getParameters(int index) {
+      if (parametersBuilder_ == null) {
+        return parameters_.get(index);
+      } else {
+        return parametersBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setParameters(int index, com.google.cloud.aiplatform.v1.Trial.Parameter value) {
+      if (parametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureParametersIsMutable();
+        parameters_.set(index, value);
+        onChanged();
+      } else {
+        parametersBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setParameters(
+        int index, com.google.cloud.aiplatform.v1.Trial.Parameter.Builder builderForValue) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        parameters_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        parametersBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addParameters(com.google.cloud.aiplatform.v1.Trial.Parameter value) {
+      if (parametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureParametersIsMutable();
+        parameters_.add(value);
+        onChanged();
+      } else {
+        parametersBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addParameters(int index, com.google.cloud.aiplatform.v1.Trial.Parameter value) {
+      if (parametersBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureParametersIsMutable();
+        parameters_.add(index, value);
+        onChanged();
+      } else {
+        parametersBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addParameters(
+        com.google.cloud.aiplatform.v1.Trial.Parameter.Builder builderForValue) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        parameters_.add(builderForValue.build());
+        onChanged();
+      } else {
+        parametersBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addParameters(
+        int index, com.google.cloud.aiplatform.v1.Trial.Parameter.Builder builderForValue) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        parameters_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        parametersBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllParameters(
+        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.Trial.Parameter> values) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, parameters_);
+        onChanged();
+      } else {
+        parametersBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearParameters() {
+      if (parametersBuilder_ == null) {
+        parameters_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        parametersBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removeParameters(int index) {
+      if (parametersBuilder_ == null) {
+        ensureParametersIsMutable();
+        parameters_.remove(index);
+        onChanged();
+      } else {
+        parametersBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial.Parameter.Builder getParametersBuilder(int index) {
+      return getParametersFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder getParametersOrBuilder(
+        int index) {
+      if (parametersBuilder_ == null) {
+        return parameters_.get(index);
+      } else {
+        return parametersBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<? extends com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder>
+        getParametersOrBuilderList() {
+      if (parametersBuilder_ != null) {
+        return parametersBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(parameters_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial.Parameter.Builder addParametersBuilder() {
+      return getParametersFieldBuilder()
+          .addBuilder(com.google.cloud.aiplatform.v1.Trial.Parameter.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Trial.Parameter.Builder addParametersBuilder(int index) {
+      return getParametersFieldBuilder()
+          .addBuilder(index, com.google.cloud.aiplatform.v1.Trial.Parameter.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The parameters of the Trial.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<com.google.cloud.aiplatform.v1.Trial.Parameter.Builder>
+        getParametersBuilderList() {
+      return getParametersFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Trial.Parameter,
+            com.google.cloud.aiplatform.v1.Trial.Parameter.Builder,
+            com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder>
+        getParametersFieldBuilder() {
+      if (parametersBuilder_ == null) {
+        parametersBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Trial.Parameter,
+                com.google.cloud.aiplatform.v1.Trial.Parameter.Builder,
+                com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder>(
+                parameters_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        parameters_ = null;
+      }
+      return parametersBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.Measurement finalMeasurement_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Measurement,
+            com.google.cloud.aiplatform.v1.Measurement.Builder,
+            com.google.cloud.aiplatform.v1.MeasurementOrBuilder>
+        finalMeasurementBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the finalMeasurement field is set.
+     */
+    public boolean hasFinalMeasurement() {
+      return finalMeasurementBuilder_ != null || finalMeasurement_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The finalMeasurement.
+     */
+    public com.google.cloud.aiplatform.v1.Measurement getFinalMeasurement() {
+      if (finalMeasurementBuilder_ == null) {
+        return finalMeasurement_ == null
+            ? com.google.cloud.aiplatform.v1.Measurement.getDefaultInstance()
+            : finalMeasurement_;
+      } else {
+        return finalMeasurementBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setFinalMeasurement(com.google.cloud.aiplatform.v1.Measurement value) {
+      if (finalMeasurementBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        finalMeasurement_ = value;
+        onChanged();
+      } else {
+        finalMeasurementBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setFinalMeasurement(
+        com.google.cloud.aiplatform.v1.Measurement.Builder builderForValue) {
+      if (finalMeasurementBuilder_ == null) {
+        finalMeasurement_ = builderForValue.build();
+        onChanged();
+      } else {
+        finalMeasurementBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeFinalMeasurement(com.google.cloud.aiplatform.v1.Measurement value) {
+      if (finalMeasurementBuilder_ == null) {
+        if (finalMeasurement_ != null) {
+          finalMeasurement_ =
+              com.google.cloud.aiplatform.v1.Measurement.newBuilder(finalMeasurement_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          finalMeasurement_ = value;
+        }
+        onChanged();
+      } else {
+        finalMeasurementBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearFinalMeasurement() {
+      if (finalMeasurementBuilder_ == null) {
+        finalMeasurement_ = null;
+        onChanged();
+      } else {
+        finalMeasurement_ = null;
+        finalMeasurementBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Measurement.Builder getFinalMeasurementBuilder() {
+
+      onChanged();
+      return getFinalMeasurementFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MeasurementOrBuilder getFinalMeasurementOrBuilder() {
+      if (finalMeasurementBuilder_ != null) {
+        return finalMeasurementBuilder_.getMessageOrBuilder();
+      } else {
+        return finalMeasurement_ == null
+            ? com.google.cloud.aiplatform.v1.Measurement.getDefaultInstance()
+            : finalMeasurement_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The final measurement containing the objective value.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Measurement,
+            com.google.cloud.aiplatform.v1.Measurement.Builder,
+            com.google.cloud.aiplatform.v1.MeasurementOrBuilder>
+        getFinalMeasurementFieldBuilder() {
+      if (finalMeasurementBuilder_ == null) {
+        finalMeasurementBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Measurement,
+                com.google.cloud.aiplatform.v1.Measurement.Builder,
+                com.google.cloud.aiplatform.v1.MeasurementOrBuilder>(
+                getFinalMeasurement(), getParentForChildren(), isClean());
+        finalMeasurement_ = null;
+      }
+      return finalMeasurementBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp startTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        startTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the startTime field is set.
+     */
+    public boolean hasStartTime() {
+      return startTimeBuilder_ != null || startTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The startTime.
+     */
+    public com.google.protobuf.Timestamp getStartTime() {
+      if (startTimeBuilder_ == null) {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      } else {
+        return startTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        startTime_ = value;
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (startTimeBuilder_ == null) {
+        startTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        startTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeStartTime(com.google.protobuf.Timestamp value) {
+      if (startTimeBuilder_ == null) {
+        if (startTime_ != null) {
+          startTime_ =
+              com.google.protobuf.Timestamp.newBuilder(startTime_).mergeFrom(value).buildPartial();
+        } else {
+          startTime_ = value;
+        }
+        onChanged();
+      } else {
+        startTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearStartTime() {
+      if (startTimeBuilder_ == null) {
+        startTime_ = null;
+        onChanged();
+      } else {
+        startTime_ = null;
+        startTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getStartTimeBuilder() {
+
+      onChanged();
+      return getStartTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder() {
+      if (startTimeBuilder_ != null) {
+        return startTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return startTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : startTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial was started.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getStartTimeFieldBuilder() {
+      if (startTimeBuilder_ == null) {
+        startTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getStartTime(), getParentForChildren(), isClean());
+        startTime_ = null;
+      }
+      return startTimeBuilder_;
+    }
+
+    private com.google.protobuf.Timestamp endTime_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        endTimeBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return Whether the endTime field is set.
+     */
+    public boolean hasEndTime() {
+      return endTimeBuilder_ != null || endTime_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     *
+     * @return The endTime.
+     */
+    public com.google.protobuf.Timestamp getEndTime() {
+      if (endTimeBuilder_ == null) {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      } else {
+        return endTimeBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        endTime_ = value;
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) {
+      if (endTimeBuilder_ == null) {
+        endTime_ = builderForValue.build();
+        onChanged();
+      } else {
+        endTimeBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder mergeEndTime(com.google.protobuf.Timestamp value) {
+      if (endTimeBuilder_ == null) {
+        if (endTime_ != null) {
+          endTime_ =
+              com.google.protobuf.Timestamp.newBuilder(endTime_).mergeFrom(value).buildPartial();
+        } else {
+          endTime_ = value;
+        }
+        onChanged();
+      } else {
+        endTimeBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearEndTime() {
+      if (endTimeBuilder_ == null) {
+        endTime_ = null;
+        onChanged();
+      } else {
+        endTime_ = null;
+        endTimeBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.Timestamp.Builder getEndTimeBuilder() {
+
+      onChanged();
+      return getEndTimeFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder() {
+      if (endTimeBuilder_ != null) {
+        return endTimeBuilder_.getMessageOrBuilder();
+      } else {
+        return endTime_ == null ? com.google.protobuf.Timestamp.getDefaultInstance() : endTime_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+     * </pre>
+     *
+     * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Timestamp,
+            com.google.protobuf.Timestamp.Builder,
+            com.google.protobuf.TimestampOrBuilder>
+        getEndTimeFieldBuilder() {
+      if (endTimeBuilder_ == null) {
+        endTimeBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Timestamp,
+                com.google.protobuf.Timestamp.Builder,
+                com.google.protobuf.TimestampOrBuilder>(
+                getEndTime(), getParentForChildren(), isClean());
+        endTime_ = null;
+      }
+      return endTimeBuilder_;
+    }
+
+    private java.lang.Object customJob_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The CustomJob name linked to the Trial.
+     * It's set for a HyperparameterTuningJob's Trial.
+     * </pre>
+     *
+     * <code>
+     * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The customJob.
+     */
+    public java.lang.String getCustomJob() {
+      java.lang.Object ref = customJob_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        customJob_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The CustomJob name linked to the Trial.
+     * It's set for a HyperparameterTuningJob's Trial.
+     * </pre>
+     *
+     * <code>
+     * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for customJob.
+     */
+    public com.google.protobuf.ByteString getCustomJobBytes() {
+      java.lang.Object ref = customJob_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        customJob_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The CustomJob name linked to the Trial.
+     * It's set for a HyperparameterTuningJob's Trial.
+     * </pre>
+     *
+     * <code>
+     * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The customJob to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCustomJob(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      customJob_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The CustomJob name linked to the Trial.
+     * It's set for a HyperparameterTuningJob's Trial.
+     * </pre>
+     *
+     * <code>
+     * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearCustomJob() {
+
+      customJob_ = getDefaultInstance().getCustomJob();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The CustomJob name linked to the Trial.
+     * It's set for a HyperparameterTuningJob's Trial.
+     * </pre>
+     *
+     * <code>
+     * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for customJob to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCustomJobBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      customJob_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.Trial)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.Trial)
+  private static final com.google.cloud.aiplatform.v1.Trial DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.Trial();
+  }
+
+  public static com.google.cloud.aiplatform.v1.Trial getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<Trial> PARSER =
+      new com.google.protobuf.AbstractParser<Trial>() {
+        @java.lang.Override
+        public Trial parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new Trial(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<Trial> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<Trial> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Trial getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialName.java
new file mode 100644
index 000000000..ab0a89628
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialName.java
@@ -0,0 +1,257 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class TrialName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_STUDY_TRIAL =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/studies/{study}/trials/{trial}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String study;
+  private final String trial;
+
+  @Deprecated
+  protected TrialName() {
+    project = null;
+    location = null;
+    study = null;
+    trial = null;
+  }
+
+  private TrialName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    study = Preconditions.checkNotNull(builder.getStudy());
+    trial = Preconditions.checkNotNull(builder.getTrial());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getStudy() {
+    return study;
+  }
+
+  public String getTrial() {
+    return trial;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static TrialName of(String project, String location, String study, String trial) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setStudy(study)
+        .setTrial(trial)
+        .build();
+  }
+
+  public static String format(String project, String location, String study, String trial) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setStudy(study)
+        .setTrial(trial)
+        .build()
+        .toString();
+  }
+
+  public static TrialName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_STUDY_TRIAL.validatedMatch(
+            formattedString, "TrialName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("study"),
+        matchMap.get("trial"));
+  }
+
+  public static List<TrialName> parseList(List<String> formattedStrings) {
+    List<TrialName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<TrialName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (TrialName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_STUDY_TRIAL.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (study != null) {
+            fieldMapBuilder.put("study", study);
+          }
+          if (trial != null) {
+            fieldMapBuilder.put("trial", trial);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_STUDY_TRIAL.instantiate(
+        "project", project, "location", location, "study", study, "trial", trial);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      TrialName that = ((TrialName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.study, that.study)
+          && Objects.equals(this.trial, that.trial);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(study);
+    h *= 1000003;
+    h ^= Objects.hashCode(trial);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/studies/{study}/trials/{trial}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String study;
+    private String trial;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getStudy() {
+      return study;
+    }
+
+    public String getTrial() {
+      return trial;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setStudy(String study) {
+      this.study = study;
+      return this;
+    }
+
+    public Builder setTrial(String trial) {
+      this.trial = trial;
+      return this;
+    }
+
+    private Builder(TrialName trialName) {
+      project = trialName.project;
+      location = trialName.location;
+      study = trialName.study;
+      trial = trialName.trial;
+    }
+
+    public TrialName build() {
+      return new TrialName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialOrBuilder.java
new file mode 100644
index 000000000..e4e6d8d84
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/TrialOrBuilder.java
@@ -0,0 +1,289 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/study.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface TrialOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.Trial)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The identifier of the Trial assigned by the service.
+   * </pre>
+   *
+   * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The id.
+   */
+  java.lang.String getId();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The identifier of the Trial assigned by the service.
+   * </pre>
+   *
+   * <code>string id = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
+   *
+   * @return The bytes for id.
+   */
+  com.google.protobuf.ByteString getIdBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the Trial.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The enum numeric value on the wire for state.
+   */
+  int getStateValue();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The detailed state of the Trial.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Trial.State state = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The state.
+   */
+  com.google.cloud.aiplatform.v1.Trial.State getState();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1.Trial.Parameter> getParametersList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.Trial.Parameter getParameters(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getParametersCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<? extends com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder>
+      getParametersOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The parameters of the Trial.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.Trial.Parameter parameters = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.Trial.ParameterOrBuilder getParametersOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The final measurement containing the objective value.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the finalMeasurement field is set.
+   */
+  boolean hasFinalMeasurement();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The final measurement containing the objective value.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The finalMeasurement.
+   */
+  com.google.cloud.aiplatform.v1.Measurement getFinalMeasurement();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The final measurement containing the objective value.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Measurement final_measurement = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MeasurementOrBuilder getFinalMeasurementOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial was started.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the startTime field is set.
+   */
+  boolean hasStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial was started.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The startTime.
+   */
+  com.google.protobuf.Timestamp getStartTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial was started.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp start_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return Whether the endTime field is set.
+   */
+  boolean hasEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   *
+   * @return The endTime.
+   */
+  com.google.protobuf.Timestamp getEndTime();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+   * </pre>
+   *
+   * <code>.google.protobuf.Timestamp end_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The CustomJob name linked to the Trial.
+   * It's set for a HyperparameterTuningJob's Trial.
+   * </pre>
+   *
+   * <code>
+   * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The customJob.
+   */
+  java.lang.String getCustomJob();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The CustomJob name linked to the Trial.
+   * It's set for a HyperparameterTuningJob's Trial.
+   * </pre>
+   *
+   * <code>
+   * string custom_job = 11 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for customJob.
+   */
+  com.google.protobuf.ByteString getCustomJobBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadata.java
new file mode 100644
index 000000000..653fb1873
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadata.java
@@ -0,0 +1,746 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelOperationMetadata}
+ */
+public final class UndeployModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UndeployModelOperationMetadata)
+    UndeployModelOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UndeployModelOperationMetadata.newBuilder() to construct.
+  private UndeployModelOperationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UndeployModelOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UndeployModelOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UndeployModelOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UndeployModelOperationMetadata)
+      com.google.cloud.aiplatform.v1.UndeployModelOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UndeployModelOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UndeployModelOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UndeployModelOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<UndeployModelOperationMetadata>() {
+        @java.lang.Override
+        public UndeployModelOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UndeployModelOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UndeployModelOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UndeployModelOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..e7f1a2449
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelOperationMetadataOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UndeployModelOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UndeployModelOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequest.java
new file mode 100644
index 000000000..271b6dc61
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequest.java
@@ -0,0 +1,1237 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelRequest}
+ */
+public final class UndeployModelRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UndeployModelRequest)
+    UndeployModelRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UndeployModelRequest.newBuilder() to construct.
+  private UndeployModelRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UndeployModelRequest() {
+    endpoint_ = "";
+    deployedModelId_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UndeployModelRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UndeployModelRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              endpoint_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              deployedModelId_ = s;
+              break;
+            }
+          case 26:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                trafficSplit_ =
+                    com.google.protobuf.MapField.newMapField(
+                        TrafficSplitDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> trafficSplit__ =
+                  input.readMessage(
+                      TrafficSplitDefaultEntryHolder.defaultEntry.getParserForType(),
+                      extensionRegistry);
+              trafficSplit_.getMutableMap().put(trafficSplit__.getKey(), trafficSplit__.getValue());
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 3:
+        return internalGetTrafficSplit();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UndeployModelRequest.class,
+            com.google.cloud.aiplatform.v1.UndeployModelRequest.Builder.class);
+  }
+
+  public static final int ENDPOINT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object endpoint_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource from which to undeploy a Model.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  @java.lang.Override
+  public java.lang.String getEndpoint() {
+    java.lang.Object ref = endpoint_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      endpoint_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource from which to undeploy a Model.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for endpoint.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getEndpointBytes() {
+    java.lang.Object ref = endpoint_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      endpoint_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER = 2;
+  private volatile java.lang.Object deployedModelId_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The deployedModelId.
+   */
+  @java.lang.Override
+  public java.lang.String getDeployedModelId() {
+    java.lang.Object ref = deployedModelId_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      deployedModelId_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for deployedModelId.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDeployedModelIdBytes() {
+    java.lang.Object ref = deployedModelId_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      deployedModelId_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TRAFFIC_SPLIT_FIELD_NUMBER = 3;
+
+  private static final class TrafficSplitDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> defaultEntry =
+        com.google.protobuf.MapEntry.<java.lang.String, java.lang.Integer>newDefaultInstance(
+            com.google.cloud.aiplatform.v1.EndpointServiceProto
+                .internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_TrafficSplitEntry_descriptor,
+            com.google.protobuf.WireFormat.FieldType.STRING,
+            "",
+            com.google.protobuf.WireFormat.FieldType.INT32,
+            0);
+  }
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.Integer> trafficSplit_;
+
+  private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+      internalGetTrafficSplit() {
+    if (trafficSplit_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(
+          TrafficSplitDefaultEntryHolder.defaultEntry);
+    }
+    return trafficSplit_;
+  }
+
+  public int getTrafficSplitCount() {
+    return internalGetTrafficSplit().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  @java.lang.Override
+  public boolean containsTrafficSplit(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetTrafficSplit().getMap().containsKey(key);
+  }
+  /** Use {@link #getTrafficSplitMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit() {
+    return getTrafficSplitMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  @java.lang.Override
+  public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap() {
+    return internalGetTrafficSplit().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  @java.lang.Override
+  public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  @java.lang.Override
+  public int getTrafficSplitOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getEndpointBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, endpoint_);
+    }
+    if (!getDeployedModelIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, deployedModelId_);
+    }
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetTrafficSplit(), TrafficSplitDefaultEntryHolder.defaultEntry, 3);
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getEndpointBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, endpoint_);
+    }
+    if (!getDeployedModelIdBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, deployedModelId_);
+    }
+    for (java.util.Map.Entry<java.lang.String, java.lang.Integer> entry :
+        internalGetTrafficSplit().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<java.lang.String, java.lang.Integer> trafficSplit__ =
+          TrafficSplitDefaultEntryHolder.defaultEntry
+              .newBuilderForType()
+              .setKey(entry.getKey())
+              .setValue(entry.getValue())
+              .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, trafficSplit__);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UndeployModelRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UndeployModelRequest other =
+        (com.google.cloud.aiplatform.v1.UndeployModelRequest) obj;
+
+    if (!getEndpoint().equals(other.getEndpoint())) return false;
+    if (!getDeployedModelId().equals(other.getDeployedModelId())) return false;
+    if (!internalGetTrafficSplit().equals(other.internalGetTrafficSplit())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
+    hash = (53 * hash) + getEndpoint().hashCode();
+    hash = (37 * hash) + DEPLOYED_MODEL_ID_FIELD_NUMBER;
+    hash = (53 * hash) + getDeployedModelId().hashCode();
+    if (!internalGetTrafficSplit().getMap().isEmpty()) {
+      hash = (37 * hash) + TRAFFIC_SPLIT_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetTrafficSplit().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.UndeployModelRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UndeployModelRequest)
+      com.google.cloud.aiplatform.v1.UndeployModelRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 3:
+          return internalGetTrafficSplit();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 3:
+          return internalGetMutableTrafficSplit();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UndeployModelRequest.class,
+              com.google.cloud.aiplatform.v1.UndeployModelRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UndeployModelRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      endpoint_ = "";
+
+      deployedModelId_ = "";
+
+      internalGetMutableTrafficSplit().clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UndeployModelRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelRequest build() {
+      com.google.cloud.aiplatform.v1.UndeployModelRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.UndeployModelRequest result =
+          new com.google.cloud.aiplatform.v1.UndeployModelRequest(this);
+      int from_bitField0_ = bitField0_;
+      result.endpoint_ = endpoint_;
+      result.deployedModelId_ = deployedModelId_;
+      result.trafficSplit_ = internalGetTrafficSplit();
+      result.trafficSplit_.makeImmutable();
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UndeployModelRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UndeployModelRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UndeployModelRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.UndeployModelRequest.getDefaultInstance())
+        return this;
+      if (!other.getEndpoint().isEmpty()) {
+        endpoint_ = other.endpoint_;
+        onChanged();
+      }
+      if (!other.getDeployedModelId().isEmpty()) {
+        deployedModelId_ = other.deployedModelId_;
+        onChanged();
+      }
+      internalGetMutableTrafficSplit().mergeFrom(other.internalGetTrafficSplit());
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UndeployModelRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UndeployModelRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private java.lang.Object endpoint_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource from which to undeploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The endpoint.
+     */
+    public java.lang.String getEndpoint() {
+      java.lang.Object ref = endpoint_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        endpoint_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource from which to undeploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for endpoint.
+     */
+    public com.google.protobuf.ByteString getEndpointBytes() {
+      java.lang.Object ref = endpoint_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        endpoint_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource from which to undeploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The endpoint to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEndpoint(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      endpoint_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource from which to undeploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearEndpoint() {
+
+      endpoint_ = getDefaultInstance().getEndpoint();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The name of the Endpoint resource from which to undeploy a Model.
+     * Format:
+     * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+     * </pre>
+     *
+     * <code>
+     * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for endpoint to set.
+     * @return This builder for chaining.
+     */
+    public Builder setEndpointBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      endpoint_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object deployedModelId_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The deployedModelId.
+     */
+    public java.lang.String getDeployedModelId() {
+      java.lang.Object ref = deployedModelId_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        deployedModelId_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for deployedModelId.
+     */
+    public com.google.protobuf.ByteString getDeployedModelIdBytes() {
+      java.lang.Object ref = deployedModelId_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        deployedModelId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The deployedModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDeployedModelId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      deployedModelId_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDeployedModelId() {
+
+      deployedModelId_ = getDefaultInstance().getDeployedModelId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+     * </pre>
+     *
+     * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for deployedModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDeployedModelIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      deployedModelId_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer> trafficSplit_;
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+        internalGetTrafficSplit() {
+      if (trafficSplit_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(
+            TrafficSplitDefaultEntryHolder.defaultEntry);
+      }
+      return trafficSplit_;
+    }
+
+    private com.google.protobuf.MapField<java.lang.String, java.lang.Integer>
+        internalGetMutableTrafficSplit() {
+      onChanged();
+      ;
+      if (trafficSplit_ == null) {
+        trafficSplit_ =
+            com.google.protobuf.MapField.newMapField(TrafficSplitDefaultEntryHolder.defaultEntry);
+      }
+      if (!trafficSplit_.isMutable()) {
+        trafficSplit_ = trafficSplit_.copy();
+      }
+      return trafficSplit_;
+    }
+
+    public int getTrafficSplitCount() {
+      return internalGetTrafficSplit().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If this field is provided, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+     * last DeployedModel is being undeployed from the Endpoint, the
+     * [Endpoint.traffic_split] will always end up empty when this call returns.
+     * A DeployedModel will be successfully undeployed only if it doesn't have
+     * any traffic assigned to it when this method executes, or if this field
+     * unassigns any traffic to it.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    @java.lang.Override
+    public boolean containsTrafficSplit(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetTrafficSplit().getMap().containsKey(key);
+    }
+    /** Use {@link #getTrafficSplitMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit() {
+      return getTrafficSplitMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If this field is provided, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+     * last DeployedModel is being undeployed from the Endpoint, the
+     * [Endpoint.traffic_split] will always end up empty when this call returns.
+     * A DeployedModel will be successfully undeployed only if it doesn't have
+     * any traffic assigned to it when this method executes, or if this field
+     * unassigns any traffic to it.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    @java.lang.Override
+    public java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap() {
+      return internalGetTrafficSplit().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If this field is provided, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+     * last DeployedModel is being undeployed from the Endpoint, the
+     * [Endpoint.traffic_split] will always end up empty when this call returns.
+     * A DeployedModel will be successfully undeployed only if it doesn't have
+     * any traffic assigned to it when this method executes, or if this field
+     * unassigns any traffic to it.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    @java.lang.Override
+    public int getTrafficSplitOrDefault(java.lang.String key, int defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If this field is provided, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+     * last DeployedModel is being undeployed from the Endpoint, the
+     * [Endpoint.traffic_split] will always end up empty when this call returns.
+     * A DeployedModel will be successfully undeployed only if it doesn't have
+     * any traffic assigned to it when this method executes, or if this field
+     * unassigns any traffic to it.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    @java.lang.Override
+    public int getTrafficSplitOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<java.lang.String, java.lang.Integer> map = internalGetTrafficSplit().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearTrafficSplit() {
+      internalGetMutableTrafficSplit().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If this field is provided, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+     * last DeployedModel is being undeployed from the Endpoint, the
+     * [Endpoint.traffic_split] will always end up empty when this call returns.
+     * A DeployedModel will be successfully undeployed only if it doesn't have
+     * any traffic assigned to it when this method executes, or if this field
+     * unassigns any traffic to it.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    public Builder removeTrafficSplit(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableTrafficSplit().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<java.lang.String, java.lang.Integer> getMutableTrafficSplit() {
+      return internalGetMutableTrafficSplit().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If this field is provided, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+     * last DeployedModel is being undeployed from the Endpoint, the
+     * [Endpoint.traffic_split] will always end up empty when this call returns.
+     * A DeployedModel will be successfully undeployed only if it doesn't have
+     * any traffic assigned to it when this method executes, or if this field
+     * unassigns any traffic to it.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    public Builder putTrafficSplit(java.lang.String key, int value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+
+      internalGetMutableTrafficSplit().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If this field is provided, then the Endpoint's
+     * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+     * last DeployedModel is being undeployed from the Endpoint, the
+     * [Endpoint.traffic_split] will always end up empty when this call returns.
+     * A DeployedModel will be successfully undeployed only if it doesn't have
+     * any traffic assigned to it when this method executes, or if this field
+     * unassigns any traffic to it.
+     * </pre>
+     *
+     * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+     */
+    public Builder putAllTrafficSplit(java.util.Map<java.lang.String, java.lang.Integer> values) {
+      internalGetMutableTrafficSplit().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UndeployModelRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UndeployModelRequest)
+  private static final com.google.cloud.aiplatform.v1.UndeployModelRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UndeployModelRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UndeployModelRequest> PARSER =
+      new com.google.protobuf.AbstractParser<UndeployModelRequest>() {
+        @java.lang.Override
+        public UndeployModelRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UndeployModelRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UndeployModelRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UndeployModelRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UndeployModelRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequestOrBuilder.java
new file mode 100644
index 000000000..72faca9b1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelRequestOrBuilder.java
@@ -0,0 +1,167 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UndeployModelRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UndeployModelRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource from which to undeploy a Model.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  java.lang.String getEndpoint();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The name of the Endpoint resource from which to undeploy a Model.
+   * Format:
+   * `projects/{project}/locations/{location}/endpoints/{endpoint}`
+   * </pre>
+   *
+   * <code>
+   * string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for endpoint.
+   */
+  com.google.protobuf.ByteString getEndpointBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The deployedModelId.
+   */
+  java.lang.String getDeployedModelId();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+   * </pre>
+   *
+   * <code>string deployed_model_id = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for deployedModelId.
+   */
+  com.google.protobuf.ByteString getDeployedModelIdBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  int getTrafficSplitCount();
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  boolean containsTrafficSplit(java.lang.String key);
+  /** Use {@link #getTrafficSplitMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplit();
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  java.util.Map<java.lang.String, java.lang.Integer> getTrafficSplitMap();
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  int getTrafficSplitOrDefault(java.lang.String key, int defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * If this field is provided, then the Endpoint's
+   * [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+   * last DeployedModel is being undeployed from the Endpoint, the
+   * [Endpoint.traffic_split] will always end up empty when this call returns.
+   * A DeployedModel will be successfully undeployed only if it doesn't have
+   * any traffic assigned to it when this method executes, or if this field
+   * unassigns any traffic to it.
+   * </pre>
+   *
+   * <code>map&lt;string, int32&gt; traffic_split = 3;</code>
+   */
+  int getTrafficSplitOrThrow(java.lang.String key);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponse.java
new file mode 100644
index 000000000..219222a70
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponse.java
@@ -0,0 +1,456 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelResponse}
+ */
+public final class UndeployModelResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UndeployModelResponse)
+    UndeployModelResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UndeployModelResponse.newBuilder() to construct.
+  private UndeployModelResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UndeployModelResponse() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UndeployModelResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UndeployModelResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UndeployModelResponse.class,
+            com.google.cloud.aiplatform.v1.UndeployModelResponse.Builder.class);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UndeployModelResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UndeployModelResponse other =
+        (com.google.cloud.aiplatform.v1.UndeployModelResponse) obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.UndeployModelResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UndeployModelResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UndeployModelResponse)
+      com.google.cloud.aiplatform.v1.UndeployModelResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UndeployModelResponse.class,
+              com.google.cloud.aiplatform.v1.UndeployModelResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UndeployModelResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UndeployModelResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UndeployModelResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelResponse build() {
+      com.google.cloud.aiplatform.v1.UndeployModelResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UndeployModelResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.UndeployModelResponse result =
+          new com.google.cloud.aiplatform.v1.UndeployModelResponse(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UndeployModelResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UndeployModelResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UndeployModelResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.UndeployModelResponse.getDefaultInstance())
+        return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UndeployModelResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UndeployModelResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UndeployModelResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UndeployModelResponse)
+  private static final com.google.cloud.aiplatform.v1.UndeployModelResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UndeployModelResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UndeployModelResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UndeployModelResponse> PARSER =
+      new com.google.protobuf.AbstractParser<UndeployModelResponse>() {
+        @java.lang.Override
+        public UndeployModelResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UndeployModelResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UndeployModelResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UndeployModelResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UndeployModelResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponseOrBuilder.java
new file mode 100644
index 000000000..f7b6b4eec
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UndeployModelResponseOrBuilder.java
@@ -0,0 +1,24 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UndeployModelResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UndeployModelResponse)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequest.java
new file mode 100644
index 000000000..2dd4843b2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequest.java
@@ -0,0 +1,1113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UpdateDatasetRequest}
+ */
+public final class UpdateDatasetRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UpdateDatasetRequest)
+    UpdateDatasetRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UpdateDatasetRequest.newBuilder() to construct.
+  private UpdateDatasetRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UpdateDatasetRequest() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UpdateDatasetRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UpdateDatasetRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.Dataset.Builder subBuilder = null;
+              if (dataset_ != null) {
+                subBuilder = dataset_.toBuilder();
+              }
+              dataset_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Dataset.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(dataset_);
+                dataset_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (updateMask_ != null) {
+                subBuilder = updateMask_.toBuilder();
+              }
+              updateMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateMask_);
+                updateMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateDatasetRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.DatasetServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateDatasetRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UpdateDatasetRequest.class,
+            com.google.cloud.aiplatform.v1.UpdateDatasetRequest.Builder.class);
+  }
+
+  public static final int DATASET_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.Dataset dataset_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the dataset field is set.
+   */
+  @java.lang.Override
+  public boolean hasDataset() {
+    return dataset_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The dataset.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Dataset getDataset() {
+    return dataset_ == null
+        ? com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance()
+        : dataset_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetOrBuilder() {
+    return getDataset();
+  }
+
+  public static final int UPDATE_MASK_FIELD_NUMBER = 2;
+  private com.google.protobuf.FieldMask updateMask_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * Updatable fields:
+   *   * `display_name`
+   *   * `description`
+   *   * `labels`
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the updateMask field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateMask() {
+    return updateMask_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * Updatable fields:
+   *   * `display_name`
+   *   * `description`
+   *   * `labels`
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The updateMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMask getUpdateMask() {
+    return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * Updatable fields:
+   *   * `display_name`
+   *   * `description`
+   *   * `labels`
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
+    return getUpdateMask();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (dataset_ != null) {
+      output.writeMessage(1, getDataset());
+    }
+    if (updateMask_ != null) {
+      output.writeMessage(2, getUpdateMask());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (dataset_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getDataset());
+    }
+    if (updateMask_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UpdateDatasetRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UpdateDatasetRequest other =
+        (com.google.cloud.aiplatform.v1.UpdateDatasetRequest) obj;
+
+    if (hasDataset() != other.hasDataset()) return false;
+    if (hasDataset()) {
+      if (!getDataset().equals(other.getDataset())) return false;
+    }
+    if (hasUpdateMask() != other.hasUpdateMask()) return false;
+    if (hasUpdateMask()) {
+      if (!getUpdateMask().equals(other.getUpdateMask())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasDataset()) {
+      hash = (37 * hash) + DATASET_FIELD_NUMBER;
+      hash = (53 * hash) + getDataset().hashCode();
+    }
+    if (hasUpdateMask()) {
+      hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER;
+      hash = (53 * hash) + getUpdateMask().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.UpdateDatasetRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UpdateDatasetRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UpdateDatasetRequest)
+      com.google.cloud.aiplatform.v1.UpdateDatasetRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateDatasetRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateDatasetRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UpdateDatasetRequest.class,
+              com.google.cloud.aiplatform.v1.UpdateDatasetRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UpdateDatasetRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (datasetBuilder_ == null) {
+        dataset_ = null;
+      } else {
+        dataset_ = null;
+        datasetBuilder_ = null;
+      }
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = null;
+      } else {
+        updateMask_ = null;
+        updateMaskBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.DatasetServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateDatasetRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateDatasetRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UpdateDatasetRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateDatasetRequest build() {
+      com.google.cloud.aiplatform.v1.UpdateDatasetRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateDatasetRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.UpdateDatasetRequest result =
+          new com.google.cloud.aiplatform.v1.UpdateDatasetRequest(this);
+      if (datasetBuilder_ == null) {
+        result.dataset_ = dataset_;
+      } else {
+        result.dataset_ = datasetBuilder_.build();
+      }
+      if (updateMaskBuilder_ == null) {
+        result.updateMask_ = updateMask_;
+      } else {
+        result.updateMask_ = updateMaskBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UpdateDatasetRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UpdateDatasetRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UpdateDatasetRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.UpdateDatasetRequest.getDefaultInstance())
+        return this;
+      if (other.hasDataset()) {
+        mergeDataset(other.getDataset());
+      }
+      if (other.hasUpdateMask()) {
+        mergeUpdateMask(other.getUpdateMask());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UpdateDatasetRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UpdateDatasetRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.Dataset dataset_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Dataset,
+            com.google.cloud.aiplatform.v1.Dataset.Builder,
+            com.google.cloud.aiplatform.v1.DatasetOrBuilder>
+        datasetBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the dataset field is set.
+     */
+    public boolean hasDataset() {
+      return datasetBuilder_ != null || dataset_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The dataset.
+     */
+    public com.google.cloud.aiplatform.v1.Dataset getDataset() {
+      if (datasetBuilder_ == null) {
+        return dataset_ == null
+            ? com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance()
+            : dataset_;
+      } else {
+        return datasetBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setDataset(com.google.cloud.aiplatform.v1.Dataset value) {
+      if (datasetBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        dataset_ = value;
+        onChanged();
+      } else {
+        datasetBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setDataset(com.google.cloud.aiplatform.v1.Dataset.Builder builderForValue) {
+      if (datasetBuilder_ == null) {
+        dataset_ = builderForValue.build();
+        onChanged();
+      } else {
+        datasetBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeDataset(com.google.cloud.aiplatform.v1.Dataset value) {
+      if (datasetBuilder_ == null) {
+        if (dataset_ != null) {
+          dataset_ =
+              com.google.cloud.aiplatform.v1.Dataset.newBuilder(dataset_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          dataset_ = value;
+        }
+        onChanged();
+      } else {
+        datasetBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearDataset() {
+      if (datasetBuilder_ == null) {
+        dataset_ = null;
+        onChanged();
+      } else {
+        dataset_ = null;
+        datasetBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Dataset.Builder getDatasetBuilder() {
+
+      onChanged();
+      return getDatasetFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetOrBuilder() {
+      if (datasetBuilder_ != null) {
+        return datasetBuilder_.getMessageOrBuilder();
+      } else {
+        return dataset_ == null
+            ? com.google.cloud.aiplatform.v1.Dataset.getDefaultInstance()
+            : dataset_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Dataset which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Dataset,
+            com.google.cloud.aiplatform.v1.Dataset.Builder,
+            com.google.cloud.aiplatform.v1.DatasetOrBuilder>
+        getDatasetFieldBuilder() {
+      if (datasetBuilder_ == null) {
+        datasetBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Dataset,
+                com.google.cloud.aiplatform.v1.Dataset.Builder,
+                com.google.cloud.aiplatform.v1.DatasetOrBuilder>(
+                getDataset(), getParentForChildren(), isClean());
+        dataset_ = null;
+      }
+      return datasetBuilder_;
+    }
+
+    private com.google.protobuf.FieldMask updateMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        updateMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the updateMask field is set.
+     */
+    public boolean hasUpdateMask() {
+      return updateMaskBuilder_ != null || updateMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The updateMask.
+     */
+    public com.google.protobuf.FieldMask getUpdateMask() {
+      if (updateMaskBuilder_ == null) {
+        return updateMask_ == null
+            ? com.google.protobuf.FieldMask.getDefaultInstance()
+            : updateMask_;
+      } else {
+        return updateMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
+      if (updateMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateMask_ = value;
+        onChanged();
+      } else {
+        updateMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
+      if (updateMaskBuilder_ == null) {
+        if (updateMask_ != null) {
+          updateMask_ =
+              com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial();
+        } else {
+          updateMask_ = value;
+        }
+        onChanged();
+      } else {
+        updateMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearUpdateMask() {
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = null;
+        onChanged();
+      } else {
+        updateMask_ = null;
+        updateMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
+
+      onChanged();
+      return getUpdateMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
+      if (updateMaskBuilder_ != null) {
+        return updateMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return updateMask_ == null
+            ? com.google.protobuf.FieldMask.getDefaultInstance()
+            : updateMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * Updatable fields:
+     *   * `display_name`
+     *   * `description`
+     *   * `labels`
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getUpdateMaskFieldBuilder() {
+      if (updateMaskBuilder_ == null) {
+        updateMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getUpdateMask(), getParentForChildren(), isClean());
+        updateMask_ = null;
+      }
+      return updateMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UpdateDatasetRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UpdateDatasetRequest)
+  private static final com.google.cloud.aiplatform.v1.UpdateDatasetRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UpdateDatasetRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateDatasetRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UpdateDatasetRequest> PARSER =
+      new com.google.protobuf.AbstractParser<UpdateDatasetRequest>() {
+        @java.lang.Override
+        public UpdateDatasetRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UpdateDatasetRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UpdateDatasetRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UpdateDatasetRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UpdateDatasetRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequestOrBuilder.java
new file mode 100644
index 000000000..83ebde2b1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateDatasetRequestOrBuilder.java
@@ -0,0 +1,122 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/dataset_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UpdateDatasetRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UpdateDatasetRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the dataset field is set.
+   */
+  boolean hasDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The dataset.
+   */
+  com.google.cloud.aiplatform.v1.Dataset getDataset();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Dataset which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Dataset dataset = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.DatasetOrBuilder getDatasetOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * Updatable fields:
+   *   * `display_name`
+   *   * `description`
+   *   * `labels`
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the updateMask field is set.
+   */
+  boolean hasUpdateMask();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * Updatable fields:
+   *   * `display_name`
+   *   * `description`
+   *   * `labels`
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The updateMask.
+   */
+  com.google.protobuf.FieldMask getUpdateMask();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * Updatable fields:
+   *   * `display_name`
+   *   * `description`
+   *   * `labels`
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequest.java
new file mode 100644
index 000000000..70f11891f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequest.java
@@ -0,0 +1,1065 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UpdateEndpointRequest}
+ */
+public final class UpdateEndpointRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UpdateEndpointRequest)
+    UpdateEndpointRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UpdateEndpointRequest.newBuilder() to construct.
+  private UpdateEndpointRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UpdateEndpointRequest() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UpdateEndpointRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UpdateEndpointRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.Endpoint.Builder subBuilder = null;
+              if (endpoint_ != null) {
+                subBuilder = endpoint_.toBuilder();
+              }
+              endpoint_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Endpoint.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(endpoint_);
+                endpoint_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (updateMask_ != null) {
+                subBuilder = updateMask_.toBuilder();
+              }
+              updateMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateMask_);
+                updateMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.EndpointServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UpdateEndpointRequest.class,
+            com.google.cloud.aiplatform.v1.UpdateEndpointRequest.Builder.class);
+  }
+
+  public static final int ENDPOINT_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.Endpoint endpoint_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the endpoint field is set.
+   */
+  @java.lang.Override
+  public boolean hasEndpoint() {
+    return endpoint_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Endpoint getEndpoint() {
+    return endpoint_ == null
+        ? com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()
+        : endpoint_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointOrBuilder() {
+    return getEndpoint();
+  }
+
+  public static final int UPDATE_MASK_FIELD_NUMBER = 2;
+  private com.google.protobuf.FieldMask updateMask_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the updateMask field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateMask() {
+    return updateMask_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The updateMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMask getUpdateMask() {
+    return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
+    return getUpdateMask();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (endpoint_ != null) {
+      output.writeMessage(1, getEndpoint());
+    }
+    if (updateMask_ != null) {
+      output.writeMessage(2, getUpdateMask());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (endpoint_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getEndpoint());
+    }
+    if (updateMask_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UpdateEndpointRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UpdateEndpointRequest other =
+        (com.google.cloud.aiplatform.v1.UpdateEndpointRequest) obj;
+
+    if (hasEndpoint() != other.hasEndpoint()) return false;
+    if (hasEndpoint()) {
+      if (!getEndpoint().equals(other.getEndpoint())) return false;
+    }
+    if (hasUpdateMask() != other.hasUpdateMask()) return false;
+    if (hasUpdateMask()) {
+      if (!getUpdateMask().equals(other.getUpdateMask())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasEndpoint()) {
+      hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
+      hash = (53 * hash) + getEndpoint().hashCode();
+    }
+    if (hasUpdateMask()) {
+      hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER;
+      hash = (53 * hash) + getUpdateMask().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.UpdateEndpointRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UpdateEndpointRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UpdateEndpointRequest)
+      com.google.cloud.aiplatform.v1.UpdateEndpointRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UpdateEndpointRequest.class,
+              com.google.cloud.aiplatform.v1.UpdateEndpointRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UpdateEndpointRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (endpointBuilder_ == null) {
+        endpoint_ = null;
+      } else {
+        endpoint_ = null;
+        endpointBuilder_ = null;
+      }
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = null;
+      } else {
+        updateMask_ = null;
+        updateMaskBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.EndpointServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateEndpointRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateEndpointRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UpdateEndpointRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateEndpointRequest build() {
+      com.google.cloud.aiplatform.v1.UpdateEndpointRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateEndpointRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.UpdateEndpointRequest result =
+          new com.google.cloud.aiplatform.v1.UpdateEndpointRequest(this);
+      if (endpointBuilder_ == null) {
+        result.endpoint_ = endpoint_;
+      } else {
+        result.endpoint_ = endpointBuilder_.build();
+      }
+      if (updateMaskBuilder_ == null) {
+        result.updateMask_ = updateMask_;
+      } else {
+        result.updateMask_ = updateMaskBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UpdateEndpointRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UpdateEndpointRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UpdateEndpointRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.UpdateEndpointRequest.getDefaultInstance())
+        return this;
+      if (other.hasEndpoint()) {
+        mergeEndpoint(other.getEndpoint());
+      }
+      if (other.hasUpdateMask()) {
+        mergeUpdateMask(other.getUpdateMask());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UpdateEndpointRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UpdateEndpointRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.Endpoint endpoint_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Endpoint,
+            com.google.cloud.aiplatform.v1.Endpoint.Builder,
+            com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+        endpointBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the endpoint field is set.
+     */
+    public boolean hasEndpoint() {
+      return endpointBuilder_ != null || endpoint_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The endpoint.
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint getEndpoint() {
+      if (endpointBuilder_ == null) {
+        return endpoint_ == null
+            ? com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()
+            : endpoint_;
+      } else {
+        return endpointBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setEndpoint(com.google.cloud.aiplatform.v1.Endpoint value) {
+      if (endpointBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        endpoint_ = value;
+        onChanged();
+      } else {
+        endpointBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setEndpoint(com.google.cloud.aiplatform.v1.Endpoint.Builder builderForValue) {
+      if (endpointBuilder_ == null) {
+        endpoint_ = builderForValue.build();
+        onChanged();
+      } else {
+        endpointBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeEndpoint(com.google.cloud.aiplatform.v1.Endpoint value) {
+      if (endpointBuilder_ == null) {
+        if (endpoint_ != null) {
+          endpoint_ =
+              com.google.cloud.aiplatform.v1.Endpoint.newBuilder(endpoint_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          endpoint_ = value;
+        }
+        onChanged();
+      } else {
+        endpointBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearEndpoint() {
+      if (endpointBuilder_ == null) {
+        endpoint_ = null;
+        onChanged();
+      } else {
+        endpoint_ = null;
+        endpointBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Endpoint.Builder getEndpointBuilder() {
+
+      onChanged();
+      return getEndpointFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointOrBuilder() {
+      if (endpointBuilder_ != null) {
+        return endpointBuilder_.getMessageOrBuilder();
+      } else {
+        return endpoint_ == null
+            ? com.google.cloud.aiplatform.v1.Endpoint.getDefaultInstance()
+            : endpoint_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Endpoint which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Endpoint,
+            com.google.cloud.aiplatform.v1.Endpoint.Builder,
+            com.google.cloud.aiplatform.v1.EndpointOrBuilder>
+        getEndpointFieldBuilder() {
+      if (endpointBuilder_ == null) {
+        endpointBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Endpoint,
+                com.google.cloud.aiplatform.v1.Endpoint.Builder,
+                com.google.cloud.aiplatform.v1.EndpointOrBuilder>(
+                getEndpoint(), getParentForChildren(), isClean());
+        endpoint_ = null;
+      }
+      return endpointBuilder_;
+    }
+
+    private com.google.protobuf.FieldMask updateMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        updateMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the updateMask field is set.
+     */
+    public boolean hasUpdateMask() {
+      return updateMaskBuilder_ != null || updateMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The updateMask.
+     */
+    public com.google.protobuf.FieldMask getUpdateMask() {
+      if (updateMaskBuilder_ == null) {
+        return updateMask_ == null
+            ? com.google.protobuf.FieldMask.getDefaultInstance()
+            : updateMask_;
+      } else {
+        return updateMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
+      if (updateMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateMask_ = value;
+        onChanged();
+      } else {
+        updateMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
+      if (updateMaskBuilder_ == null) {
+        if (updateMask_ != null) {
+          updateMask_ =
+              com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial();
+        } else {
+          updateMask_ = value;
+        }
+        onChanged();
+      } else {
+        updateMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearUpdateMask() {
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = null;
+        onChanged();
+      } else {
+        updateMask_ = null;
+        updateMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
+
+      onChanged();
+      return getUpdateMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
+      if (updateMaskBuilder_ != null) {
+        return updateMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return updateMask_ == null
+            ? com.google.protobuf.FieldMask.getDefaultInstance()
+            : updateMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getUpdateMaskFieldBuilder() {
+      if (updateMaskBuilder_ == null) {
+        updateMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getUpdateMask(), getParentForChildren(), isClean());
+        updateMask_ = null;
+      }
+      return updateMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UpdateEndpointRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UpdateEndpointRequest)
+  private static final com.google.cloud.aiplatform.v1.UpdateEndpointRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UpdateEndpointRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateEndpointRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UpdateEndpointRequest> PARSER =
+      new com.google.protobuf.AbstractParser<UpdateEndpointRequest>() {
+        @java.lang.Override
+        public UpdateEndpointRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UpdateEndpointRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UpdateEndpointRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UpdateEndpointRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UpdateEndpointRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequestOrBuilder.java
new file mode 100644
index 000000000..b6d586a46
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateEndpointRequestOrBuilder.java
@@ -0,0 +1,110 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/endpoint_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UpdateEndpointRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UpdateEndpointRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the endpoint field is set.
+   */
+  boolean hasEndpoint();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The endpoint.
+   */
+  com.google.cloud.aiplatform.v1.Endpoint getEndpoint();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Endpoint which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.Endpoint endpoint = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.EndpointOrBuilder getEndpointOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the updateMask field is set.
+   */
+  boolean hasUpdateMask();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The updateMask.
+   */
+  com.google.protobuf.FieldMask getUpdateMask();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequest.java
new file mode 100644
index 000000000..cfd088171
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequest.java
@@ -0,0 +1,1047 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UpdateModelRequest}
+ */
+public final class UpdateModelRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UpdateModelRequest)
+    UpdateModelRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UpdateModelRequest.newBuilder() to construct.
+  private UpdateModelRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UpdateModelRequest() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UpdateModelRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UpdateModelRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.Model.Builder subBuilder = null;
+              if (model_ != null) {
+                subBuilder = model_.toBuilder();
+              }
+              model_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Model.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(model_);
+                model_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (updateMask_ != null) {
+                subBuilder = updateMask_.toBuilder();
+              }
+              updateMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateMask_);
+                updateMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UpdateModelRequest.class,
+            com.google.cloud.aiplatform.v1.UpdateModelRequest.Builder.class);
+  }
+
+  public static final int MODEL_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.Model model_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the model field is set.
+   */
+  @java.lang.Override
+  public boolean hasModel() {
+    return model_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The model.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Model getModel() {
+    return model_ == null ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance() : model_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelOrBuilder() {
+    return getModel();
+  }
+
+  public static final int UPDATE_MASK_FIELD_NUMBER = 2;
+  private com.google.protobuf.FieldMask updateMask_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the updateMask field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateMask() {
+    return updateMask_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The updateMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMask getUpdateMask() {
+    return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
+    return getUpdateMask();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (model_ != null) {
+      output.writeMessage(1, getModel());
+    }
+    if (updateMask_ != null) {
+      output.writeMessage(2, getUpdateMask());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (model_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getModel());
+    }
+    if (updateMask_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UpdateModelRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UpdateModelRequest other =
+        (com.google.cloud.aiplatform.v1.UpdateModelRequest) obj;
+
+    if (hasModel() != other.hasModel()) return false;
+    if (hasModel()) {
+      if (!getModel().equals(other.getModel())) return false;
+    }
+    if (hasUpdateMask() != other.hasUpdateMask()) return false;
+    if (hasUpdateMask()) {
+      if (!getUpdateMask().equals(other.getUpdateMask())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasModel()) {
+      hash = (37 * hash) + MODEL_FIELD_NUMBER;
+      hash = (53 * hash) + getModel().hashCode();
+    }
+    if (hasUpdateMask()) {
+      hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER;
+      hash = (53 * hash) + getUpdateMask().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.UpdateModelRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UpdateModelRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UpdateModelRequest)
+      com.google.cloud.aiplatform.v1.UpdateModelRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UpdateModelRequest.class,
+              com.google.cloud.aiplatform.v1.UpdateModelRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UpdateModelRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (modelBuilder_ == null) {
+        model_ = null;
+      } else {
+        model_ = null;
+        modelBuilder_ = null;
+      }
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = null;
+      } else {
+        updateMask_ = null;
+        updateMaskBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateModelRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UpdateModelRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateModelRequest build() {
+      com.google.cloud.aiplatform.v1.UpdateModelRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateModelRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.UpdateModelRequest result =
+          new com.google.cloud.aiplatform.v1.UpdateModelRequest(this);
+      if (modelBuilder_ == null) {
+        result.model_ = model_;
+      } else {
+        result.model_ = modelBuilder_.build();
+      }
+      if (updateMaskBuilder_ == null) {
+        result.updateMask_ = updateMask_;
+      } else {
+        result.updateMask_ = updateMaskBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UpdateModelRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UpdateModelRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UpdateModelRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.UpdateModelRequest.getDefaultInstance())
+        return this;
+      if (other.hasModel()) {
+        mergeModel(other.getModel());
+      }
+      if (other.hasUpdateMask()) {
+        mergeUpdateMask(other.getUpdateMask());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UpdateModelRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UpdateModelRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.Model model_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model,
+            com.google.cloud.aiplatform.v1.Model.Builder,
+            com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        modelBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the model field is set.
+     */
+    public boolean hasModel() {
+      return modelBuilder_ != null || model_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The model.
+     */
+    public com.google.cloud.aiplatform.v1.Model getModel() {
+      if (modelBuilder_ == null) {
+        return model_ == null ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance() : model_;
+      } else {
+        return modelBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setModel(com.google.cloud.aiplatform.v1.Model value) {
+      if (modelBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        model_ = value;
+        onChanged();
+      } else {
+        modelBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setModel(com.google.cloud.aiplatform.v1.Model.Builder builderForValue) {
+      if (modelBuilder_ == null) {
+        model_ = builderForValue.build();
+        onChanged();
+      } else {
+        modelBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeModel(com.google.cloud.aiplatform.v1.Model value) {
+      if (modelBuilder_ == null) {
+        if (model_ != null) {
+          model_ =
+              com.google.cloud.aiplatform.v1.Model.newBuilder(model_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          model_ = value;
+        }
+        onChanged();
+      } else {
+        modelBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearModel() {
+      if (modelBuilder_ == null) {
+        model_ = null;
+        onChanged();
+      } else {
+        model_ = null;
+        modelBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.Builder getModelBuilder() {
+
+      onChanged();
+      return getModelFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelOrBuilder() {
+      if (modelBuilder_ != null) {
+        return modelBuilder_.getMessageOrBuilder();
+      } else {
+        return model_ == null ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance() : model_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model,
+            com.google.cloud.aiplatform.v1.Model.Builder,
+            com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        getModelFieldBuilder() {
+      if (modelBuilder_ == null) {
+        modelBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Model,
+                com.google.cloud.aiplatform.v1.Model.Builder,
+                com.google.cloud.aiplatform.v1.ModelOrBuilder>(
+                getModel(), getParentForChildren(), isClean());
+        model_ = null;
+      }
+      return modelBuilder_;
+    }
+
+    private com.google.protobuf.FieldMask updateMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        updateMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the updateMask field is set.
+     */
+    public boolean hasUpdateMask() {
+      return updateMaskBuilder_ != null || updateMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The updateMask.
+     */
+    public com.google.protobuf.FieldMask getUpdateMask() {
+      if (updateMaskBuilder_ == null) {
+        return updateMask_ == null
+            ? com.google.protobuf.FieldMask.getDefaultInstance()
+            : updateMask_;
+      } else {
+        return updateMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
+      if (updateMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateMask_ = value;
+        onChanged();
+      } else {
+        updateMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
+      if (updateMaskBuilder_ == null) {
+        if (updateMask_ != null) {
+          updateMask_ =
+              com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial();
+        } else {
+          updateMask_ = value;
+        }
+        onChanged();
+      } else {
+        updateMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearUpdateMask() {
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = null;
+        onChanged();
+      } else {
+        updateMask_ = null;
+        updateMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
+
+      onChanged();
+      return getUpdateMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
+      if (updateMaskBuilder_ != null) {
+        return updateMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return updateMask_ == null
+            ? com.google.protobuf.FieldMask.getDefaultInstance()
+            : updateMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * For the `FieldMask` definition, see
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getUpdateMaskFieldBuilder() {
+      if (updateMaskBuilder_ == null) {
+        updateMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getUpdateMask(), getParentForChildren(), isClean());
+        updateMask_ = null;
+      }
+      return updateMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UpdateModelRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UpdateModelRequest)
+  private static final com.google.cloud.aiplatform.v1.UpdateModelRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UpdateModelRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateModelRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UpdateModelRequest> PARSER =
+      new com.google.protobuf.AbstractParser<UpdateModelRequest>() {
+        @java.lang.Override
+        public UpdateModelRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UpdateModelRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UpdateModelRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UpdateModelRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UpdateModelRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequestOrBuilder.java
new file mode 100644
index 000000000..4ae443ccc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateModelRequestOrBuilder.java
@@ -0,0 +1,107 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UpdateModelRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UpdateModelRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the model field is set.
+   */
+  boolean hasModel();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The model.
+   */
+  com.google.cloud.aiplatform.v1.Model getModel();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ModelOrBuilder getModelOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the updateMask field is set.
+   */
+  boolean hasUpdateMask();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The updateMask.
+   */
+  com.google.protobuf.FieldMask getUpdateMask();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * For the `FieldMask` definition, see
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadata.java
new file mode 100644
index 000000000..be373f9a7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadata.java
@@ -0,0 +1,964 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Runtime operation metadata for
+ * [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata}
+ */
+public final class UpdateSpecialistPoolOperationMetadata
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata)
+    UpdateSpecialistPoolOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UpdateSpecialistPoolOperationMetadata.newBuilder() to construct.
+  private UpdateSpecialistPoolOperationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UpdateSpecialistPoolOperationMetadata() {
+    specialistPool_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UpdateSpecialistPoolOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UpdateSpecialistPoolOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              specialistPool_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata.Builder.class);
+  }
+
+  public static final int SPECIALIST_POOL_FIELD_NUMBER = 1;
+  private volatile java.lang.Object specialistPool_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The name of the SpecialistPool to which the specialists are being added.
+   * Format:
+   * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+   * </pre>
+   *
+   * <code>
+   * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The specialistPool.
+   */
+  @java.lang.Override
+  public java.lang.String getSpecialistPool() {
+    java.lang.Object ref = specialistPool_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      specialistPool_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The name of the SpecialistPool to which the specialists are being added.
+   * Format:
+   * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+   * </pre>
+   *
+   * <code>
+   * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for specialistPool.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getSpecialistPoolBytes() {
+    java.lang.Object ref = specialistPool_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      specialistPool_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getSpecialistPoolBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, specialistPool_);
+    }
+    if (genericMetadata_ != null) {
+      output.writeMessage(2, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getSpecialistPoolBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, specialistPool_);
+    }
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata) obj;
+
+    if (!getSpecialistPool().equals(other.getSpecialistPool())) return false;
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + SPECIALIST_POOL_FIELD_NUMBER;
+    hash = (53 * hash) + getSpecialistPool().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Runtime operation metadata for
+   * [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata)
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      specialistPool_ = "";
+
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata(this);
+      result.specialistPool_ = specialistPool_;
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata
+              .getDefaultInstance()) return this;
+      if (!other.getSpecialistPool().isEmpty()) {
+        specialistPool_ = other.specialistPool_;
+        onChanged();
+      }
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object specialistPool_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The name of the SpecialistPool to which the specialists are being added.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The specialistPool.
+     */
+    public java.lang.String getSpecialistPool() {
+      java.lang.Object ref = specialistPool_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        specialistPool_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The name of the SpecialistPool to which the specialists are being added.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for specialistPool.
+     */
+    public com.google.protobuf.ByteString getSpecialistPoolBytes() {
+      java.lang.Object ref = specialistPool_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        specialistPool_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The name of the SpecialistPool to which the specialists are being added.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The specialistPool to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSpecialistPool(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      specialistPool_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The name of the SpecialistPool to which the specialists are being added.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSpecialistPool() {
+
+      specialistPool_ = getDefaultInstance().getSpecialistPool();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The name of the SpecialistPool to which the specialists are being added.
+     * Format:
+     * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+     * </pre>
+     *
+     * <code>
+     * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for specialistPool to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSpecialistPoolBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      specialistPool_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The operation generic information.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UpdateSpecialistPoolOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<UpdateSpecialistPoolOperationMetadata>() {
+        @java.lang.Override
+        public UpdateSpecialistPoolOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UpdateSpecialistPoolOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UpdateSpecialistPoolOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UpdateSpecialistPoolOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..7bb43d713
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolOperationMetadataOrBuilder.java
@@ -0,0 +1,93 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UpdateSpecialistPoolOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The name of the SpecialistPool to which the specialists are being added.
+   * Format:
+   * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+   * </pre>
+   *
+   * <code>
+   * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The specialistPool.
+   */
+  java.lang.String getSpecialistPool();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The name of the SpecialistPool to which the specialists are being added.
+   * Format:
+   * `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+   * </pre>
+   *
+   * <code>
+   * string specialist_pool = 1 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for specialistPool.
+   */
+  com.google.protobuf.ByteString getSpecialistPoolBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The operation generic information.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 2;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequest.java
new file mode 100644
index 000000000..618f1dede
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequest.java
@@ -0,0 +1,1043 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest}
+ */
+public final class UpdateSpecialistPoolRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest)
+    UpdateSpecialistPoolRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UpdateSpecialistPoolRequest.newBuilder() to construct.
+  private UpdateSpecialistPoolRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UpdateSpecialistPoolRequest() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UpdateSpecialistPoolRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UpdateSpecialistPoolRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.SpecialistPool.Builder subBuilder = null;
+              if (specialistPool_ != null) {
+                subBuilder = specialistPool_.toBuilder();
+              }
+              specialistPool_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.SpecialistPool.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(specialistPool_);
+                specialistPool_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.protobuf.FieldMask.Builder subBuilder = null;
+              if (updateMask_ != null) {
+                subBuilder = updateMask_.toBuilder();
+              }
+              updateMask_ =
+                  input.readMessage(com.google.protobuf.FieldMask.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(updateMask_);
+                updateMask_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.class,
+            com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.Builder.class);
+  }
+
+  public static final int SPECIALIST_POOL_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.SpecialistPool specialistPool_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the specialistPool field is set.
+   */
+  @java.lang.Override
+  public boolean hasSpecialistPool() {
+    return specialistPool_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The specialistPool.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPool() {
+    return specialistPool_ == null
+        ? com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance()
+        : specialistPool_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolOrBuilder() {
+    return getSpecialistPool();
+  }
+
+  public static final int UPDATE_MASK_FIELD_NUMBER = 2;
+  private com.google.protobuf.FieldMask updateMask_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the updateMask field is set.
+   */
+  @java.lang.Override
+  public boolean hasUpdateMask() {
+    return updateMask_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The updateMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMask getUpdateMask() {
+    return updateMask_ == null ? com.google.protobuf.FieldMask.getDefaultInstance() : updateMask_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
+    return getUpdateMask();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (specialistPool_ != null) {
+      output.writeMessage(1, getSpecialistPool());
+    }
+    if (updateMask_ != null) {
+      output.writeMessage(2, getUpdateMask());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (specialistPool_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getSpecialistPool());
+    }
+    if (updateMask_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getUpdateMask());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest other =
+        (com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest) obj;
+
+    if (hasSpecialistPool() != other.hasSpecialistPool()) return false;
+    if (hasSpecialistPool()) {
+      if (!getSpecialistPool().equals(other.getSpecialistPool())) return false;
+    }
+    if (hasUpdateMask() != other.hasUpdateMask()) return false;
+    if (hasUpdateMask()) {
+      if (!getUpdateMask().equals(other.getUpdateMask())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasSpecialistPool()) {
+      hash = (37 * hash) + SPECIALIST_POOL_FIELD_NUMBER;
+      hash = (53 * hash) + getSpecialistPool().hashCode();
+    }
+    if (hasUpdateMask()) {
+      hash = (37 * hash) + UPDATE_MASK_FIELD_NUMBER;
+      hash = (53 * hash) + getUpdateMask().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest)
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.class,
+              com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (specialistPoolBuilder_ == null) {
+        specialistPool_ = null;
+      } else {
+        specialistPool_ = null;
+        specialistPoolBuilder_ = null;
+      }
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = null;
+      } else {
+        updateMask_ = null;
+        updateMaskBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UpdateSpecialistPoolRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest build() {
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest result =
+          new com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest(this);
+      if (specialistPoolBuilder_ == null) {
+        result.specialistPool_ = specialistPool_;
+      } else {
+        result.specialistPool_ = specialistPoolBuilder_.build();
+      }
+      if (updateMaskBuilder_ == null) {
+        result.updateMask_ = updateMask_;
+      } else {
+        result.updateMask_ = updateMaskBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.getDefaultInstance())
+        return this;
+      if (other.hasSpecialistPool()) {
+        mergeSpecialistPool(other.getSpecialistPool());
+      }
+      if (other.hasUpdateMask()) {
+        mergeUpdateMask(other.getUpdateMask());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.SpecialistPool specialistPool_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SpecialistPool,
+            com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+            com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+        specialistPoolBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the specialistPool field is set.
+     */
+    public boolean hasSpecialistPool() {
+      return specialistPoolBuilder_ != null || specialistPool_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The specialistPool.
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPool() {
+      if (specialistPoolBuilder_ == null) {
+        return specialistPool_ == null
+            ? com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance()
+            : specialistPool_;
+      } else {
+        return specialistPoolBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setSpecialistPool(com.google.cloud.aiplatform.v1.SpecialistPool value) {
+      if (specialistPoolBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        specialistPool_ = value;
+        onChanged();
+      } else {
+        specialistPoolBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setSpecialistPool(
+        com.google.cloud.aiplatform.v1.SpecialistPool.Builder builderForValue) {
+      if (specialistPoolBuilder_ == null) {
+        specialistPool_ = builderForValue.build();
+        onChanged();
+      } else {
+        specialistPoolBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeSpecialistPool(com.google.cloud.aiplatform.v1.SpecialistPool value) {
+      if (specialistPoolBuilder_ == null) {
+        if (specialistPool_ != null) {
+          specialistPool_ =
+              com.google.cloud.aiplatform.v1.SpecialistPool.newBuilder(specialistPool_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          specialistPool_ = value;
+        }
+        onChanged();
+      } else {
+        specialistPoolBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearSpecialistPool() {
+      if (specialistPoolBuilder_ == null) {
+        specialistPool_ = null;
+        onChanged();
+      } else {
+        specialistPool_ = null;
+        specialistPoolBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPool.Builder getSpecialistPoolBuilder() {
+
+      onChanged();
+      return getSpecialistPoolFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolOrBuilder() {
+      if (specialistPoolBuilder_ != null) {
+        return specialistPoolBuilder_.getMessageOrBuilder();
+      } else {
+        return specialistPool_ == null
+            ? com.google.cloud.aiplatform.v1.SpecialistPool.getDefaultInstance()
+            : specialistPool_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The SpecialistPool which replaces the resource on the server.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.SpecialistPool,
+            com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+            com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>
+        getSpecialistPoolFieldBuilder() {
+      if (specialistPoolBuilder_ == null) {
+        specialistPoolBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.SpecialistPool,
+                com.google.cloud.aiplatform.v1.SpecialistPool.Builder,
+                com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder>(
+                getSpecialistPool(), getParentForChildren(), isClean());
+        specialistPool_ = null;
+      }
+      return specialistPoolBuilder_;
+    }
+
+    private com.google.protobuf.FieldMask updateMask_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        updateMaskBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the updateMask field is set.
+     */
+    public boolean hasUpdateMask() {
+      return updateMaskBuilder_ != null || updateMask_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The updateMask.
+     */
+    public com.google.protobuf.FieldMask getUpdateMask() {
+      if (updateMaskBuilder_ == null) {
+        return updateMask_ == null
+            ? com.google.protobuf.FieldMask.getDefaultInstance()
+            : updateMask_;
+      } else {
+        return updateMaskBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
+      if (updateMaskBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        updateMask_ = value;
+        onChanged();
+      } else {
+        updateMaskBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForValue) {
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = builderForValue.build();
+        onChanged();
+      } else {
+        updateMaskBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
+      if (updateMaskBuilder_ == null) {
+        if (updateMask_ != null) {
+          updateMask_ =
+              com.google.protobuf.FieldMask.newBuilder(updateMask_).mergeFrom(value).buildPartial();
+        } else {
+          updateMask_ = value;
+        }
+        onChanged();
+      } else {
+        updateMaskBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearUpdateMask() {
+      if (updateMaskBuilder_ == null) {
+        updateMask_ = null;
+        onChanged();
+      } else {
+        updateMask_ = null;
+        updateMaskBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
+
+      onChanged();
+      return getUpdateMaskFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
+      if (updateMaskBuilder_ != null) {
+        return updateMaskBuilder_.getMessageOrBuilder();
+      } else {
+        return updateMask_ == null
+            ? com.google.protobuf.FieldMask.getDefaultInstance()
+            : updateMask_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The update mask applies to the resource.
+     * </pre>
+     *
+     * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FieldMask,
+            com.google.protobuf.FieldMask.Builder,
+            com.google.protobuf.FieldMaskOrBuilder>
+        getUpdateMaskFieldBuilder() {
+      if (updateMaskBuilder_ == null) {
+        updateMaskBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FieldMask,
+                com.google.protobuf.FieldMask.Builder,
+                com.google.protobuf.FieldMaskOrBuilder>(
+                getUpdateMask(), getParentForChildren(), isClean());
+        updateMask_ = null;
+      }
+      return updateMaskBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest)
+  private static final com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UpdateSpecialistPoolRequest> PARSER =
+      new com.google.protobuf.AbstractParser<UpdateSpecialistPoolRequest>() {
+        @java.lang.Override
+        public UpdateSpecialistPoolRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UpdateSpecialistPoolRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UpdateSpecialistPoolRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UpdateSpecialistPoolRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequestOrBuilder.java
new file mode 100644
index 000000000..fe771cfa7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UpdateSpecialistPoolRequestOrBuilder.java
@@ -0,0 +1,104 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/specialist_pool_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UpdateSpecialistPoolRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the specialistPool field is set.
+   */
+  boolean hasSpecialistPool();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The specialistPool.
+   */
+  com.google.cloud.aiplatform.v1.SpecialistPool getSpecialistPool();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The SpecialistPool which replaces the resource on the server.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.SpecialistPool specialist_pool = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.SpecialistPoolOrBuilder getSpecialistPoolOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the updateMask field is set.
+   */
+  boolean hasUpdateMask();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The updateMask.
+   */
+  com.google.protobuf.FieldMask getUpdateMask();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The update mask applies to the resource.
+   * </pre>
+   *
+   * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadata.java
new file mode 100644
index 000000000..f64dd4e81
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadata.java
@@ -0,0 +1,741 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelOperationMetadata}
+ */
+public final class UploadModelOperationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UploadModelOperationMetadata)
+    UploadModelOperationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UploadModelOperationMetadata.newBuilder() to construct.
+  private UploadModelOperationMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UploadModelOperationMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UploadModelOperationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UploadModelOperationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder subBuilder = null;
+              if (genericMetadata_ != null) {
+                subBuilder = genericMetadata_.toBuilder();
+              }
+              genericMetadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.GenericOperationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(genericMetadata_);
+                genericMetadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UploadModelOperationMetadata.class,
+            com.google.cloud.aiplatform.v1.UploadModelOperationMetadata.Builder.class);
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (genericMetadata_ != null) {
+      output.writeMessage(1, getGenericMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (genericMetadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UploadModelOperationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UploadModelOperationMetadata other =
+        (com.google.cloud.aiplatform.v1.UploadModelOperationMetadata) obj;
+
+    if (hasGenericMetadata() != other.hasGenericMetadata()) return false;
+    if (hasGenericMetadata()) {
+      if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasGenericMetadata()) {
+      hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getGenericMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.UploadModelOperationMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelOperationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UploadModelOperationMetadata)
+      com.google.cloud.aiplatform.v1.UploadModelOperationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UploadModelOperationMetadata.class,
+              com.google.cloud.aiplatform.v1.UploadModelOperationMetadata.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UploadModelOperationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelOperationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelOperationMetadata getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UploadModelOperationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelOperationMetadata build() {
+      com.google.cloud.aiplatform.v1.UploadModelOperationMetadata result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelOperationMetadata buildPartial() {
+      com.google.cloud.aiplatform.v1.UploadModelOperationMetadata result =
+          new com.google.cloud.aiplatform.v1.UploadModelOperationMetadata(this);
+      if (genericMetadataBuilder_ == null) {
+        result.genericMetadata_ = genericMetadata_;
+      } else {
+        result.genericMetadata_ = genericMetadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UploadModelOperationMetadata) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UploadModelOperationMetadata) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UploadModelOperationMetadata other) {
+      if (other == com.google.cloud.aiplatform.v1.UploadModelOperationMetadata.getDefaultInstance())
+        return this;
+      if (other.hasGenericMetadata()) {
+        mergeGenericMetadata(other.getGenericMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UploadModelOperationMetadata parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UploadModelOperationMetadata) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.GenericOperationMetadata genericMetadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        genericMetadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return Whether the genericMetadata field is set.
+     */
+    public boolean hasGenericMetadata() {
+      return genericMetadataBuilder_ != null || genericMetadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     *
+     * @return The genericMetadata.
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      } else {
+        return genericMetadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        genericMetadata_ = value;
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder setGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder builderForValue) {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        genericMetadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder mergeGenericMetadata(
+        com.google.cloud.aiplatform.v1.GenericOperationMetadata value) {
+      if (genericMetadataBuilder_ == null) {
+        if (genericMetadata_ != null) {
+          genericMetadata_ =
+              com.google.cloud.aiplatform.v1.GenericOperationMetadata.newBuilder(genericMetadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          genericMetadata_ = value;
+        }
+        onChanged();
+      } else {
+        genericMetadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public Builder clearGenericMetadata() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadata_ = null;
+        onChanged();
+      } else {
+        genericMetadata_ = null;
+        genericMetadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder
+        getGenericMetadataBuilder() {
+
+      onChanged();
+      return getGenericMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    public com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder
+        getGenericMetadataOrBuilder() {
+      if (genericMetadataBuilder_ != null) {
+        return genericMetadataBuilder_.getMessageOrBuilder();
+      } else {
+        return genericMetadata_ == null
+            ? com.google.cloud.aiplatform.v1.GenericOperationMetadata.getDefaultInstance()
+            : genericMetadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The common part of the operation metadata.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>
+        getGenericMetadataFieldBuilder() {
+      if (genericMetadataBuilder_ == null) {
+        genericMetadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder>(
+                getGenericMetadata(), getParentForChildren(), isClean());
+        genericMetadata_ = null;
+      }
+      return genericMetadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UploadModelOperationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UploadModelOperationMetadata)
+  private static final com.google.cloud.aiplatform.v1.UploadModelOperationMetadata DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UploadModelOperationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelOperationMetadata getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UploadModelOperationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<UploadModelOperationMetadata>() {
+        @java.lang.Override
+        public UploadModelOperationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UploadModelOperationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UploadModelOperationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UploadModelOperationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UploadModelOperationMetadata getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadataOrBuilder.java
new file mode 100644
index 000000000..d21d80a45
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelOperationMetadataOrBuilder.java
@@ -0,0 +1,60 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UploadModelOperationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UploadModelOperationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  boolean hasGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadata getGenericMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1.GenericOperationMetadataOrBuilder getGenericMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequest.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequest.java
new file mode 100644
index 000000000..77b0b176b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequest.java
@@ -0,0 +1,940 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelRequest}
+ */
+public final class UploadModelRequest extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UploadModelRequest)
+    UploadModelRequestOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UploadModelRequest.newBuilder() to construct.
+  private UploadModelRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UploadModelRequest() {
+    parent_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UploadModelRequest();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UploadModelRequest(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              parent_ = s;
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.Model.Builder subBuilder = null;
+              if (model_ != null) {
+                subBuilder = model_.toBuilder();
+              }
+              model_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.Model.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(model_);
+                model_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UploadModelRequest_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UploadModelRequest_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UploadModelRequest.class,
+            com.google.cloud.aiplatform.v1.UploadModelRequest.Builder.class);
+  }
+
+  public static final int PARENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object parent_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location into which to upload the Model.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  @java.lang.Override
+  public java.lang.String getParent() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      parent_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location into which to upload the Model.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getParentBytes() {
+    java.lang.Object ref = parent_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      parent_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MODEL_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.Model model_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model to create.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the model field is set.
+   */
+  @java.lang.Override
+  public boolean hasModel() {
+    return model_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model to create.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The model.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.Model getModel() {
+    return model_ == null ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance() : model_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model to create.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelOrBuilder() {
+    return getModel();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getParentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, parent_);
+    }
+    if (model_ != null) {
+      output.writeMessage(2, getModel());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getParentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, parent_);
+    }
+    if (model_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getModel());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UploadModelRequest)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UploadModelRequest other =
+        (com.google.cloud.aiplatform.v1.UploadModelRequest) obj;
+
+    if (!getParent().equals(other.getParent())) return false;
+    if (hasModel() != other.hasModel()) return false;
+    if (hasModel()) {
+      if (!getModel().equals(other.getModel())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PARENT_FIELD_NUMBER;
+    hash = (53 * hash) + getParent().hashCode();
+    if (hasModel()) {
+      hash = (37 * hash) + MODEL_FIELD_NUMBER;
+      hash = (53 * hash) + getModel().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.UploadModelRequest prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelRequest}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UploadModelRequest)
+      com.google.cloud.aiplatform.v1.UploadModelRequestOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelRequest_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UploadModelRequest.class,
+              com.google.cloud.aiplatform.v1.UploadModelRequest.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UploadModelRequest.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      parent_ = "";
+
+      if (modelBuilder_ == null) {
+        model_ = null;
+      } else {
+        model_ = null;
+        modelBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelRequest_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelRequest getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UploadModelRequest.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelRequest build() {
+      com.google.cloud.aiplatform.v1.UploadModelRequest result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelRequest buildPartial() {
+      com.google.cloud.aiplatform.v1.UploadModelRequest result =
+          new com.google.cloud.aiplatform.v1.UploadModelRequest(this);
+      result.parent_ = parent_;
+      if (modelBuilder_ == null) {
+        result.model_ = model_;
+      } else {
+        result.model_ = modelBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UploadModelRequest) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UploadModelRequest) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UploadModelRequest other) {
+      if (other == com.google.cloud.aiplatform.v1.UploadModelRequest.getDefaultInstance())
+        return this;
+      if (!other.getParent().isEmpty()) {
+        parent_ = other.parent_;
+        onChanged();
+      }
+      if (other.hasModel()) {
+        mergeModel(other.getModel());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UploadModelRequest parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UploadModelRequest) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object parent_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location into which to upload the Model.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The parent.
+     */
+    public java.lang.String getParent() {
+      java.lang.Object ref = parent_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        parent_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location into which to upload the Model.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return The bytes for parent.
+     */
+    public com.google.protobuf.ByteString getParentBytes() {
+      java.lang.Object ref = parent_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        parent_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location into which to upload the Model.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location into which to upload the Model.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearParent() {
+
+      parent_ = getDefaultInstance().getParent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The resource name of the Location into which to upload the Model.
+     * Format: `projects/{project}/locations/{location}`
+     * </pre>
+     *
+     * <code>
+     * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+     * </code>
+     *
+     * @param value The bytes for parent to set.
+     * @return This builder for chaining.
+     */
+    public Builder setParentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      parent_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.Model model_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model,
+            com.google.cloud.aiplatform.v1.Model.Builder,
+            com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        modelBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return Whether the model field is set.
+     */
+    public boolean hasModel() {
+      return modelBuilder_ != null || model_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     *
+     * @return The model.
+     */
+    public com.google.cloud.aiplatform.v1.Model getModel() {
+      if (modelBuilder_ == null) {
+        return model_ == null ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance() : model_;
+      } else {
+        return modelBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setModel(com.google.cloud.aiplatform.v1.Model value) {
+      if (modelBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        model_ = value;
+        onChanged();
+      } else {
+        modelBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder setModel(com.google.cloud.aiplatform.v1.Model.Builder builderForValue) {
+      if (modelBuilder_ == null) {
+        model_ = builderForValue.build();
+        onChanged();
+      } else {
+        modelBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder mergeModel(com.google.cloud.aiplatform.v1.Model value) {
+      if (modelBuilder_ == null) {
+        if (model_ != null) {
+          model_ =
+              com.google.cloud.aiplatform.v1.Model.newBuilder(model_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          model_ = value;
+        }
+        onChanged();
+      } else {
+        modelBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder clearModel() {
+      if (modelBuilder_ == null) {
+        model_ = null;
+        onChanged();
+      } else {
+        model_ = null;
+        modelBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.Model.Builder getModelBuilder() {
+
+      onChanged();
+      return getModelFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.ModelOrBuilder getModelOrBuilder() {
+      if (modelBuilder_ != null) {
+        return modelBuilder_.getMessageOrBuilder();
+      } else {
+        return model_ == null ? com.google.cloud.aiplatform.v1.Model.getDefaultInstance() : model_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Model to create.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.Model,
+            com.google.cloud.aiplatform.v1.Model.Builder,
+            com.google.cloud.aiplatform.v1.ModelOrBuilder>
+        getModelFieldBuilder() {
+      if (modelBuilder_ == null) {
+        modelBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.Model,
+                com.google.cloud.aiplatform.v1.Model.Builder,
+                com.google.cloud.aiplatform.v1.ModelOrBuilder>(
+                getModel(), getParentForChildren(), isClean());
+        model_ = null;
+      }
+      return modelBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UploadModelRequest)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UploadModelRequest)
+  private static final com.google.cloud.aiplatform.v1.UploadModelRequest DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UploadModelRequest();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelRequest getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UploadModelRequest> PARSER =
+      new com.google.protobuf.AbstractParser<UploadModelRequest>() {
+        @java.lang.Override
+        public UploadModelRequest parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UploadModelRequest(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UploadModelRequest> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UploadModelRequest> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UploadModelRequest getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequestOrBuilder.java
new file mode 100644
index 000000000..52778884c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelRequestOrBuilder.java
@@ -0,0 +1,94 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UploadModelRequestOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UploadModelRequest)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location into which to upload the Model.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The parent.
+   */
+  java.lang.String getParent();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The resource name of the Location into which to upload the Model.
+   * Format: `projects/{project}/locations/{location}`
+   * </pre>
+   *
+   * <code>
+   * string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
+   * </code>
+   *
+   * @return The bytes for parent.
+   */
+  com.google.protobuf.ByteString getParentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model to create.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return Whether the model field is set.
+   */
+  boolean hasModel();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model to create.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   *
+   * @return The model.
+   */
+  com.google.cloud.aiplatform.v1.Model getModel();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Model to create.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.Model model = 2 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.ModelOrBuilder getModelOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponse.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponse.java
new file mode 100644
index 000000000..6a6a3f210
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponse.java
@@ -0,0 +1,643 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelResponse}
+ */
+public final class UploadModelResponse extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UploadModelResponse)
+    UploadModelResponseOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UploadModelResponse.newBuilder() to construct.
+  private UploadModelResponse(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UploadModelResponse() {
+    model_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UploadModelResponse();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UploadModelResponse(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              model_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UploadModelResponse_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.ModelServiceProto
+        .internal_static_google_cloud_aiplatform_v1_UploadModelResponse_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UploadModelResponse.class,
+            com.google.cloud.aiplatform.v1.UploadModelResponse.Builder.class);
+  }
+
+  public static final int MODEL_FIELD_NUMBER = 1;
+  private volatile java.lang.Object model_;
+  /**
+   *
+   *
+   * <pre>
+   * The name of the uploaded Model resource.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The model.
+   */
+  @java.lang.Override
+  public java.lang.String getModel() {
+    java.lang.Object ref = model_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      model_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The name of the uploaded Model resource.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The bytes for model.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getModelBytes() {
+    java.lang.Object ref = model_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      model_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getModelBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, model_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getModelBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, model_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.UploadModelResponse)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.UploadModelResponse other =
+        (com.google.cloud.aiplatform.v1.UploadModelResponse) obj;
+
+    if (!getModel().equals(other.getModel())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_FIELD_NUMBER;
+    hash = (53 * hash) + getModel().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.UploadModelResponse prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.UploadModelResponse}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.UploadModelResponse)
+      com.google.cloud.aiplatform.v1.UploadModelResponseOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelResponse_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelResponse_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.UploadModelResponse.class,
+              com.google.cloud.aiplatform.v1.UploadModelResponse.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.UploadModelResponse.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      model_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.ModelServiceProto
+          .internal_static_google_cloud_aiplatform_v1_UploadModelResponse_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelResponse getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.UploadModelResponse.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelResponse build() {
+      com.google.cloud.aiplatform.v1.UploadModelResponse result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.UploadModelResponse buildPartial() {
+      com.google.cloud.aiplatform.v1.UploadModelResponse result =
+          new com.google.cloud.aiplatform.v1.UploadModelResponse(this);
+      result.model_ = model_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.UploadModelResponse) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.UploadModelResponse) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.UploadModelResponse other) {
+      if (other == com.google.cloud.aiplatform.v1.UploadModelResponse.getDefaultInstance())
+        return this;
+      if (!other.getModel().isEmpty()) {
+        model_ = other.model_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.UploadModelResponse parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.UploadModelResponse) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object model_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The name of the uploaded Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    public java.lang.String getModel() {
+      java.lang.Object ref = model_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        model_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the uploaded Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    public com.google.protobuf.ByteString getModelBytes() {
+      java.lang.Object ref = model_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        model_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the uploaded Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @param value The model to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModel(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      model_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the uploaded Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModel() {
+
+      model_ = getDefaultInstance().getModel();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the uploaded Model resource.
+     * Format: `projects/{project}/locations/{location}/models/{model}`
+     * </pre>
+     *
+     * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @param value The bytes for model to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      model_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UploadModelResponse)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UploadModelResponse)
+  private static final com.google.cloud.aiplatform.v1.UploadModelResponse DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UploadModelResponse();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UploadModelResponse getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UploadModelResponse> PARSER =
+      new com.google.protobuf.AbstractParser<UploadModelResponse>() {
+        @java.lang.Override
+        public UploadModelResponse parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UploadModelResponse(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UploadModelResponse> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UploadModelResponse> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UploadModelResponse getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponseOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponseOrBuilder.java
new file mode 100644
index 000000000..9f76d41ff
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UploadModelResponseOrBuilder.java
@@ -0,0 +1,52 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/model_service.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UploadModelResponseOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UploadModelResponse)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The name of the uploaded Model resource.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The model.
+   */
+  java.lang.String getModel();
+  /**
+   *
+   *
+   * <pre>
+   * The name of the uploaded Model resource.
+   * Format: `projects/{project}/locations/{location}/models/{model}`
+   * </pre>
+   *
+   * <code>string model = 1 [(.google.api.resource_reference) = { ... }</code>
+   *
+   * @return The bytes for model.
+   */
+  com.google.protobuf.ByteString getModelBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReference.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReference.java
new file mode 100644
index 000000000..622b9acb1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReference.java
@@ -0,0 +1,1176 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/user_action_reference.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * References an API call. It contains more information about long running
+ * operation and Jobs that are triggered by the API call.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.UserActionReference}
+ */
+public final class UserActionReference extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.UserActionReference)
+    UserActionReferenceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use UserActionReference.newBuilder() to construct.
+  private UserActionReference(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private UserActionReference() {
+    method_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new UserActionReference();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private UserActionReference(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              referenceCase_ = 1;
+              reference_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              referenceCase_ = 2;
+              reference_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              method_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.UserActionReferenceProto
+        .internal_static_google_cloud_aiplatform_v1_UserActionReference_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.UserActionReferenceProto
+        .internal_static_google_cloud_aiplatform_v1_UserActionReference_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.UserActionReference.class,
+            com.google.cloud.aiplatform.v1.UserActionReference.Builder.class);
+  }
+
+  private int referenceCase_ = 0;
+  private java.lang.Object reference_;
+
+  public enum ReferenceCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    OPERATION(1),
+    DATA_LABELING_JOB(2),
+    REFERENCE_NOT_SET(0);
+    private final int value;
+
+    private ReferenceCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
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+      if (referenceCase_ == 2) {
+        ref = reference_;
+      }
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (referenceCase_ == 2) {
+          reference_ = s;
+        }
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For API calls that start a LabelingJob.
+     * Resource name of the LabelingJob.
+     * Format:
+     * 'projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}'
+     * </pre>
+     *
+     * <code>string data_labeling_job = 2;</code>
+     *
+     * @return The bytes for dataLabelingJob.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getDataLabelingJobBytes() {
+      java.lang.Object ref = "";
+      if (referenceCase_ == 2) {
+        ref = reference_;
+      }
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (referenceCase_ == 2) {
+          reference_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For API calls that start a LabelingJob.
+     * Resource name of the LabelingJob.
+     * Format:
+     * 'projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}'
+     * </pre>
+     *
+     * <code>string data_labeling_job = 2;</code>
+     *
+     * @param value The dataLabelingJob to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDataLabelingJob(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      referenceCase_ = 2;
+      reference_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For API calls that start a LabelingJob.
+     * Resource name of the LabelingJob.
+     * Format:
+     * 'projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}'
+     * </pre>
+     *
+     * <code>string data_labeling_job = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDataLabelingJob() {
+      if (referenceCase_ == 2) {
+        referenceCase_ = 0;
+        reference_ = null;
+        onChanged();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For API calls that start a LabelingJob.
+     * Resource name of the LabelingJob.
+     * Format:
+     * 'projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}'
+     * </pre>
+     *
+     * <code>string data_labeling_job = 2;</code>
+     *
+     * @param value The bytes for dataLabelingJob to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDataLabelingJobBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      referenceCase_ = 2;
+      reference_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object method_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The method name of the API call. For example,
+     * "/google.cloud.aiplatform.v1alpha1.DatasetService.CreateDataset"
+     * </pre>
+     *
+     * <code>string method = 3;</code>
+     *
+     * @return The method.
+     */
+    public java.lang.String getMethod() {
+      java.lang.Object ref = method_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        method_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The method name of the API call. For example,
+     * "/google.cloud.aiplatform.v1alpha1.DatasetService.CreateDataset"
+     * </pre>
+     *
+     * <code>string method = 3;</code>
+     *
+     * @return The bytes for method.
+     */
+    public com.google.protobuf.ByteString getMethodBytes() {
+      java.lang.Object ref = method_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        method_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The method name of the API call. For example,
+     * "/google.cloud.aiplatform.v1alpha1.DatasetService.CreateDataset"
+     * </pre>
+     *
+     * <code>string method = 3;</code>
+     *
+     * @param value The method to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMethod(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      method_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The method name of the API call. For example,
+     * "/google.cloud.aiplatform.v1alpha1.DatasetService.CreateDataset"
+     * </pre>
+     *
+     * <code>string method = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMethod() {
+
+      method_ = getDefaultInstance().getMethod();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The method name of the API call. For example,
+     * "/google.cloud.aiplatform.v1alpha1.DatasetService.CreateDataset"
+     * </pre>
+     *
+     * <code>string method = 3;</code>
+     *
+     * @param value The bytes for method to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMethodBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      method_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.UserActionReference)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.UserActionReference)
+  private static final com.google.cloud.aiplatform.v1.UserActionReference DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.UserActionReference();
+  }
+
+  public static com.google.cloud.aiplatform.v1.UserActionReference getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<UserActionReference> PARSER =
+      new com.google.protobuf.AbstractParser<UserActionReference>() {
+        @java.lang.Override
+        public UserActionReference parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new UserActionReference(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<UserActionReference> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<UserActionReference> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.UserActionReference getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReferenceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReferenceOrBuilder.java
new file mode 100644
index 000000000..9770e4d3a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReferenceOrBuilder.java
@@ -0,0 +1,116 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/user_action_reference.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface UserActionReferenceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.UserActionReference)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * For API calls that return a long running operation.
+   * Resource name of the long running operation.
+   * Format:
+   * 'projects/{project}/locations/{location}/operations/{operation}'
+   * </pre>
+   *
+   * <code>string operation = 1;</code>
+   *
+   * @return The operation.
+   */
+  java.lang.String getOperation();
+  /**
+   *
+   *
+   * <pre>
+   * For API calls that return a long running operation.
+   * Resource name of the long running operation.
+   * Format:
+   * 'projects/{project}/locations/{location}/operations/{operation}'
+   * </pre>
+   *
+   * <code>string operation = 1;</code>
+   *
+   * @return The bytes for operation.
+   */
+  com.google.protobuf.ByteString getOperationBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * For API calls that start a LabelingJob.
+   * Resource name of the LabelingJob.
+   * Format:
+   * 'projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}'
+   * </pre>
+   *
+   * <code>string data_labeling_job = 2;</code>
+   *
+   * @return The dataLabelingJob.
+   */
+  java.lang.String getDataLabelingJob();
+  /**
+   *
+   *
+   * <pre>
+   * For API calls that start a LabelingJob.
+   * Resource name of the LabelingJob.
+   * Format:
+   * 'projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}'
+   * </pre>
+   *
+   * <code>string data_labeling_job = 2;</code>
+   *
+   * @return The bytes for dataLabelingJob.
+   */
+  com.google.protobuf.ByteString getDataLabelingJobBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The method name of the API call. For example,
+   * "/google.cloud.aiplatform.v1alpha1.DatasetService.CreateDataset"
+   * </pre>
+   *
+   * <code>string method = 3;</code>
+   *
+   * @return The method.
+   */
+  java.lang.String getMethod();
+  /**
+   *
+   *
+   * <pre>
+   * The method name of the API call. For example,
+   * "/google.cloud.aiplatform.v1alpha1.DatasetService.CreateDataset"
+   * </pre>
+   *
+   * <code>string method = 3;</code>
+   *
+   * @return The bytes for method.
+   */
+  com.google.protobuf.ByteString getMethodBytes();
+
+  public com.google.cloud.aiplatform.v1.UserActionReference.ReferenceCase getReferenceCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReferenceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReferenceProto.java
new file mode 100644
index 000000000..98d774580
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/UserActionReferenceProto.java
@@ -0,0 +1,71 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/user_action_reference.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public final class UserActionReferenceProto {
+  private UserActionReferenceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_UserActionReference_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_UserActionReference_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n6google/cloud/aiplatform/v1/user_action"
+          + "_reference.proto\022\032google.cloud.aiplatfor"
+          + "m.v1\032\034google/api/annotations.proto\"d\n\023Us"
+          + "erActionReference\022\023\n\toperation\030\001 \001(\tH\000\022\033"
+          + "\n\021data_labeling_job\030\002 \001(\tH\000\022\016\n\006method\030\003 "
+          + "\001(\tB\013\n\treferenceB\202\001\n\036com.google.cloud.ai"
+          + "platform.v1B\030UserActionReferenceProtoP\001Z"
+          + "Dgoogle.golang.org/genproto/googleapis/c"
+          + "loud/aiplatform/v1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_UserActionReference_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_UserActionReference_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_UserActionReference_descriptor,
+            new java.lang.String[] {
+              "Operation", "DataLabelingJob", "Method", "Reference",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/VersionName.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/VersionName.java
new file mode 100644
index 000000000..6b5952f31
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/VersionName.java
@@ -0,0 +1,217 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class VersionName implements ResourceName {
+  private static final PathTemplate PROJECT_MODEL_VERSION =
+      PathTemplate.createWithoutUrlEncoding("projects/{project}/models/{model}/versions/{version}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String model;
+  private final String version;
+
+  @Deprecated
+  protected VersionName() {
+    project = null;
+    model = null;
+    version = null;
+  }
+
+  private VersionName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    model = Preconditions.checkNotNull(builder.getModel());
+    version = Preconditions.checkNotNull(builder.getVersion());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getModel() {
+    return model;
+  }
+
+  public String getVersion() {
+    return version;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static VersionName of(String project, String model, String version) {
+    return newBuilder().setProject(project).setModel(model).setVersion(version).build();
+  }
+
+  public static String format(String project, String model, String version) {
+    return newBuilder().setProject(project).setModel(model).setVersion(version).build().toString();
+  }
+
+  public static VersionName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_MODEL_VERSION.validatedMatch(
+            formattedString, "VersionName.parse: formattedString not in valid format");
+    return of(matchMap.get("project"), matchMap.get("model"), matchMap.get("version"));
+  }
+
+  public static List<VersionName> parseList(List<String> formattedStrings) {
+    List<VersionName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<VersionName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (VersionName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_MODEL_VERSION.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (model != null) {
+            fieldMapBuilder.put("model", model);
+          }
+          if (version != null) {
+            fieldMapBuilder.put("version", version);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_MODEL_VERSION.instantiate(
+        "project", project, "model", model, "version", version);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      VersionName that = ((VersionName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.model, that.model)
+          && Objects.equals(this.version, that.version);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(model);
+    h *= 1000003;
+    h ^= Objects.hashCode(version);
+    return h;
+  }
+
+  /** Builder for projects/{project}/models/{model}/versions/{version}. */
+  public static class Builder {
+    private String project;
+    private String model;
+    private String version;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getModel() {
+      return model;
+    }
+
+    public String getVersion() {
+      return version;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setModel(String model) {
+      this.model = model;
+      return this;
+    }
+
+    public Builder setVersion(String version) {
+      this.version = version;
+      return this;
+    }
+
+    private Builder(VersionName versionName) {
+      project = versionName.project;
+      model = versionName.model;
+      version = versionName.version;
+    }
+
+    public VersionName build() {
+      return new VersionName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WorkerPoolSpec.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WorkerPoolSpec.java
new file mode 100644
index 000000000..390d8dd35
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WorkerPoolSpec.java
@@ -0,0 +1,1809 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents the spec of a worker pool in a job.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.WorkerPoolSpec}
+ */
+public final class WorkerPoolSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.WorkerPoolSpec)
+    WorkerPoolSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use WorkerPoolSpec.newBuilder() to construct.
+  private WorkerPoolSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private WorkerPoolSpec() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new WorkerPoolSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private WorkerPoolSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.MachineSpec.Builder subBuilder = null;
+              if (machineSpec_ != null) {
+                subBuilder = machineSpec_.toBuilder();
+              }
+              machineSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.MachineSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(machineSpec_);
+                machineSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 16:
+            {
+              replicaCount_ = input.readInt64();
+              break;
+            }
+          case 42:
+            {
+              com.google.cloud.aiplatform.v1.DiskSpec.Builder subBuilder = null;
+              if (diskSpec_ != null) {
+                subBuilder = diskSpec_.toBuilder();
+              }
+              diskSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.DiskSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(diskSpec_);
+                diskSpec_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              com.google.cloud.aiplatform.v1.ContainerSpec.Builder subBuilder = null;
+              if (taskCase_ == 6) {
+                subBuilder = ((com.google.cloud.aiplatform.v1.ContainerSpec) task_).toBuilder();
+              }
+              task_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.ContainerSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.ContainerSpec) task_);
+                task_ = subBuilder.buildPartial();
+              }
+              taskCase_ = 6;
+              break;
+            }
+          case 58:
+            {
+              com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder subBuilder = null;
+              if (taskCase_ == 7) {
+                subBuilder = ((com.google.cloud.aiplatform.v1.PythonPackageSpec) task_).toBuilder();
+              }
+              task_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.PythonPackageSpec.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom((com.google.cloud.aiplatform.v1.PythonPackageSpec) task_);
+                task_ = subBuilder.buildPartial();
+              }
+              taskCase_ = 7;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.CustomJobProto
+        .internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.WorkerPoolSpec.class,
+            com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder.class);
+  }
+
+  private int taskCase_ = 0;
+  private java.lang.Object task_;
+
+  public enum TaskCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    CONTAINER_SPEC(6),
+    PYTHON_PACKAGE_SPEC(7),
+    TASK_NOT_SET(0);
+    private final int value;
+
+    private TaskCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static TaskCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static TaskCase forNumber(int value) {
+      switch (value) {
+        case 6:
+          return CONTAINER_SPEC;
+        case 7:
+          return PYTHON_PACKAGE_SPEC;
+        case 0:
+          return TASK_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public TaskCase getTaskCase() {
+    return TaskCase.forNumber(taskCase_);
+  }
+
+  public static final int CONTAINER_SPEC_FIELD_NUMBER = 6;
+  /**
+   *
+   *
+   * <pre>
+   * The custom container task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+   *
+   * @return Whether the containerSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasContainerSpec() {
+    return taskCase_ == 6;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The custom container task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+   *
+   * @return The containerSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ContainerSpec getContainerSpec() {
+    if (taskCase_ == 6) {
+      return (com.google.cloud.aiplatform.v1.ContainerSpec) task_;
+    }
+    return com.google.cloud.aiplatform.v1.ContainerSpec.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The custom container task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.ContainerSpecOrBuilder getContainerSpecOrBuilder() {
+    if (taskCase_ == 6) {
+      return (com.google.cloud.aiplatform.v1.ContainerSpec) task_;
+    }
+    return com.google.cloud.aiplatform.v1.ContainerSpec.getDefaultInstance();
+  }
+
+  public static final int PYTHON_PACKAGE_SPEC_FIELD_NUMBER = 7;
+  /**
+   *
+   *
+   * <pre>
+   * The Python packaged task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+   *
+   * @return Whether the pythonPackageSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasPythonPackageSpec() {
+    return taskCase_ == 7;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Python packaged task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+   *
+   * @return The pythonPackageSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PythonPackageSpec getPythonPackageSpec() {
+    if (taskCase_ == 7) {
+      return (com.google.cloud.aiplatform.v1.PythonPackageSpec) task_;
+    }
+    return com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Python packaged task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.PythonPackageSpecOrBuilder getPythonPackageSpecOrBuilder() {
+    if (taskCase_ == 7) {
+      return (com.google.cloud.aiplatform.v1.PythonPackageSpec) task_;
+    }
+    return com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance();
+  }
+
+  public static final int MACHINE_SPEC_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.MachineSpec machineSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return Whether the machineSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasMachineSpec() {
+    return machineSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The machineSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec() {
+    return machineSpec_ == null
+        ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+        : machineSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
+    return getMachineSpec();
+  }
+
+  public static final int REPLICA_COUNT_FIELD_NUMBER = 2;
+  private long replicaCount_;
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The number of worker replicas to use for this worker pool.
+   * </pre>
+   *
+   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The replicaCount.
+   */
+  @java.lang.Override
+  public long getReplicaCount() {
+    return replicaCount_;
+  }
+
+  public static final int DISK_SPEC_FIELD_NUMBER = 5;
+  private com.google.cloud.aiplatform.v1.DiskSpec diskSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Disk spec.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+   *
+   * @return Whether the diskSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasDiskSpec() {
+    return diskSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Disk spec.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+   *
+   * @return The diskSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DiskSpec getDiskSpec() {
+    return diskSpec_ == null
+        ? com.google.cloud.aiplatform.v1.DiskSpec.getDefaultInstance()
+        : diskSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Disk spec.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.DiskSpecOrBuilder getDiskSpecOrBuilder() {
+    return getDiskSpec();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (machineSpec_ != null) {
+      output.writeMessage(1, getMachineSpec());
+    }
+    if (replicaCount_ != 0L) {
+      output.writeInt64(2, replicaCount_);
+    }
+    if (diskSpec_ != null) {
+      output.writeMessage(5, getDiskSpec());
+    }
+    if (taskCase_ == 6) {
+      output.writeMessage(6, (com.google.cloud.aiplatform.v1.ContainerSpec) task_);
+    }
+    if (taskCase_ == 7) {
+      output.writeMessage(7, (com.google.cloud.aiplatform.v1.PythonPackageSpec) task_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (machineSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getMachineSpec());
+    }
+    if (replicaCount_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, replicaCount_);
+    }
+    if (diskSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getDiskSpec());
+    }
+    if (taskCase_ == 6) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              6, (com.google.cloud.aiplatform.v1.ContainerSpec) task_);
+    }
+    if (taskCase_ == 7) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              7, (com.google.cloud.aiplatform.v1.PythonPackageSpec) task_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1.WorkerPoolSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.WorkerPoolSpec other =
+        (com.google.cloud.aiplatform.v1.WorkerPoolSpec) obj;
+
+    if (hasMachineSpec() != other.hasMachineSpec()) return false;
+    if (hasMachineSpec()) {
+      if (!getMachineSpec().equals(other.getMachineSpec())) return false;
+    }
+    if (getReplicaCount() != other.getReplicaCount()) return false;
+    if (hasDiskSpec() != other.hasDiskSpec()) return false;
+    if (hasDiskSpec()) {
+      if (!getDiskSpec().equals(other.getDiskSpec())) return false;
+    }
+    if (!getTaskCase().equals(other.getTaskCase())) return false;
+    switch (taskCase_) {
+      case 6:
+        if (!getContainerSpec().equals(other.getContainerSpec())) return false;
+        break;
+      case 7:
+        if (!getPythonPackageSpec().equals(other.getPythonPackageSpec())) return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasMachineSpec()) {
+      hash = (37 * hash) + MACHINE_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getMachineSpec().hashCode();
+    }
+    hash = (37 * hash) + REPLICA_COUNT_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getReplicaCount());
+    if (hasDiskSpec()) {
+      hash = (37 * hash) + DISK_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getDiskSpec().hashCode();
+    }
+    switch (taskCase_) {
+      case 6:
+        hash = (37 * hash) + CONTAINER_SPEC_FIELD_NUMBER;
+        hash = (53 * hash) + getContainerSpec().hashCode();
+        break;
+      case 7:
+        hash = (37 * hash) + PYTHON_PACKAGE_SPEC_FIELD_NUMBER;
+        hash = (53 * hash) + getPythonPackageSpec().hashCode();
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(java.nio.ByteBuffer data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(java.io.InputStream input)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1.WorkerPoolSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents the spec of a worker pool in a job.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.WorkerPoolSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.WorkerPoolSpec)
+      com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.WorkerPoolSpec.class,
+              com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1.WorkerPoolSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = null;
+      } else {
+        machineSpec_ = null;
+        machineSpecBuilder_ = null;
+      }
+      replicaCount_ = 0L;
+
+      if (diskSpecBuilder_ == null) {
+        diskSpec_ = null;
+      } else {
+        diskSpec_ = null;
+        diskSpecBuilder_ = null;
+      }
+      taskCase_ = 0;
+      task_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.CustomJobProto
+          .internal_static_google_cloud_aiplatform_v1_WorkerPoolSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.WorkerPoolSpec getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.WorkerPoolSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.WorkerPoolSpec build() {
+      com.google.cloud.aiplatform.v1.WorkerPoolSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.WorkerPoolSpec buildPartial() {
+      com.google.cloud.aiplatform.v1.WorkerPoolSpec result =
+          new com.google.cloud.aiplatform.v1.WorkerPoolSpec(this);
+      if (taskCase_ == 6) {
+        if (containerSpecBuilder_ == null) {
+          result.task_ = task_;
+        } else {
+          result.task_ = containerSpecBuilder_.build();
+        }
+      }
+      if (taskCase_ == 7) {
+        if (pythonPackageSpecBuilder_ == null) {
+          result.task_ = task_;
+        } else {
+          result.task_ = pythonPackageSpecBuilder_.build();
+        }
+      }
+      if (machineSpecBuilder_ == null) {
+        result.machineSpec_ = machineSpec_;
+      } else {
+        result.machineSpec_ = machineSpecBuilder_.build();
+      }
+      result.replicaCount_ = replicaCount_;
+      if (diskSpecBuilder_ == null) {
+        result.diskSpec_ = diskSpec_;
+      } else {
+        result.diskSpec_ = diskSpecBuilder_.build();
+      }
+      result.taskCase_ = taskCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1.WorkerPoolSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1.WorkerPoolSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1.WorkerPoolSpec other) {
+      if (other == com.google.cloud.aiplatform.v1.WorkerPoolSpec.getDefaultInstance()) return this;
+      if (other.hasMachineSpec()) {
+        mergeMachineSpec(other.getMachineSpec());
+      }
+      if (other.getReplicaCount() != 0L) {
+        setReplicaCount(other.getReplicaCount());
+      }
+      if (other.hasDiskSpec()) {
+        mergeDiskSpec(other.getDiskSpec());
+      }
+      switch (other.getTaskCase()) {
+        case CONTAINER_SPEC:
+          {
+            mergeContainerSpec(other.getContainerSpec());
+            break;
+          }
+        case PYTHON_PACKAGE_SPEC:
+          {
+            mergePythonPackageSpec(other.getPythonPackageSpec());
+            break;
+          }
+        case TASK_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.WorkerPoolSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage = (com.google.cloud.aiplatform.v1.WorkerPoolSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int taskCase_ = 0;
+    private java.lang.Object task_;
+
+    public TaskCase getTaskCase() {
+      return TaskCase.forNumber(taskCase_);
+    }
+
+    public Builder clearTask() {
+      taskCase_ = 0;
+      task_ = null;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ContainerSpec,
+            com.google.cloud.aiplatform.v1.ContainerSpec.Builder,
+            com.google.cloud.aiplatform.v1.ContainerSpecOrBuilder>
+        containerSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     *
+     * @return Whether the containerSpec field is set.
+     */
+    @java.lang.Override
+    public boolean hasContainerSpec() {
+      return taskCase_ == 6;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     *
+     * @return The containerSpec.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ContainerSpec getContainerSpec() {
+      if (containerSpecBuilder_ == null) {
+        if (taskCase_ == 6) {
+          return (com.google.cloud.aiplatform.v1.ContainerSpec) task_;
+        }
+        return com.google.cloud.aiplatform.v1.ContainerSpec.getDefaultInstance();
+      } else {
+        if (taskCase_ == 6) {
+          return containerSpecBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.ContainerSpec.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     */
+    public Builder setContainerSpec(com.google.cloud.aiplatform.v1.ContainerSpec value) {
+      if (containerSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        task_ = value;
+        onChanged();
+      } else {
+        containerSpecBuilder_.setMessage(value);
+      }
+      taskCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     */
+    public Builder setContainerSpec(
+        com.google.cloud.aiplatform.v1.ContainerSpec.Builder builderForValue) {
+      if (containerSpecBuilder_ == null) {
+        task_ = builderForValue.build();
+        onChanged();
+      } else {
+        containerSpecBuilder_.setMessage(builderForValue.build());
+      }
+      taskCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     */
+    public Builder mergeContainerSpec(com.google.cloud.aiplatform.v1.ContainerSpec value) {
+      if (containerSpecBuilder_ == null) {
+        if (taskCase_ == 6
+            && task_ != com.google.cloud.aiplatform.v1.ContainerSpec.getDefaultInstance()) {
+          task_ =
+              com.google.cloud.aiplatform.v1.ContainerSpec.newBuilder(
+                      (com.google.cloud.aiplatform.v1.ContainerSpec) task_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          task_ = value;
+        }
+        onChanged();
+      } else {
+        if (taskCase_ == 6) {
+          containerSpecBuilder_.mergeFrom(value);
+        }
+        containerSpecBuilder_.setMessage(value);
+      }
+      taskCase_ = 6;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     */
+    public Builder clearContainerSpec() {
+      if (containerSpecBuilder_ == null) {
+        if (taskCase_ == 6) {
+          taskCase_ = 0;
+          task_ = null;
+          onChanged();
+        }
+      } else {
+        if (taskCase_ == 6) {
+          taskCase_ = 0;
+          task_ = null;
+        }
+        containerSpecBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     */
+    public com.google.cloud.aiplatform.v1.ContainerSpec.Builder getContainerSpecBuilder() {
+      return getContainerSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.ContainerSpecOrBuilder getContainerSpecOrBuilder() {
+      if ((taskCase_ == 6) && (containerSpecBuilder_ != null)) {
+        return containerSpecBuilder_.getMessageOrBuilder();
+      } else {
+        if (taskCase_ == 6) {
+          return (com.google.cloud.aiplatform.v1.ContainerSpec) task_;
+        }
+        return com.google.cloud.aiplatform.v1.ContainerSpec.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The custom container task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.ContainerSpec,
+            com.google.cloud.aiplatform.v1.ContainerSpec.Builder,
+            com.google.cloud.aiplatform.v1.ContainerSpecOrBuilder>
+        getContainerSpecFieldBuilder() {
+      if (containerSpecBuilder_ == null) {
+        if (!(taskCase_ == 6)) {
+          task_ = com.google.cloud.aiplatform.v1.ContainerSpec.getDefaultInstance();
+        }
+        containerSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.ContainerSpec,
+                com.google.cloud.aiplatform.v1.ContainerSpec.Builder,
+                com.google.cloud.aiplatform.v1.ContainerSpecOrBuilder>(
+                (com.google.cloud.aiplatform.v1.ContainerSpec) task_,
+                getParentForChildren(),
+                isClean());
+        task_ = null;
+      }
+      taskCase_ = 6;
+      onChanged();
+      ;
+      return containerSpecBuilder_;
+    }
+
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.PythonPackageSpec,
+            com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder,
+            com.google.cloud.aiplatform.v1.PythonPackageSpecOrBuilder>
+        pythonPackageSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     *
+     * @return Whether the pythonPackageSpec field is set.
+     */
+    @java.lang.Override
+    public boolean hasPythonPackageSpec() {
+      return taskCase_ == 7;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     *
+     * @return The pythonPackageSpec.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PythonPackageSpec getPythonPackageSpec() {
+      if (pythonPackageSpecBuilder_ == null) {
+        if (taskCase_ == 7) {
+          return (com.google.cloud.aiplatform.v1.PythonPackageSpec) task_;
+        }
+        return com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance();
+      } else {
+        if (taskCase_ == 7) {
+          return pythonPackageSpecBuilder_.getMessage();
+        }
+        return com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     */
+    public Builder setPythonPackageSpec(com.google.cloud.aiplatform.v1.PythonPackageSpec value) {
+      if (pythonPackageSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        task_ = value;
+        onChanged();
+      } else {
+        pythonPackageSpecBuilder_.setMessage(value);
+      }
+      taskCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     */
+    public Builder setPythonPackageSpec(
+        com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder builderForValue) {
+      if (pythonPackageSpecBuilder_ == null) {
+        task_ = builderForValue.build();
+        onChanged();
+      } else {
+        pythonPackageSpecBuilder_.setMessage(builderForValue.build());
+      }
+      taskCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     */
+    public Builder mergePythonPackageSpec(com.google.cloud.aiplatform.v1.PythonPackageSpec value) {
+      if (pythonPackageSpecBuilder_ == null) {
+        if (taskCase_ == 7
+            && task_ != com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance()) {
+          task_ =
+              com.google.cloud.aiplatform.v1.PythonPackageSpec.newBuilder(
+                      (com.google.cloud.aiplatform.v1.PythonPackageSpec) task_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          task_ = value;
+        }
+        onChanged();
+      } else {
+        if (taskCase_ == 7) {
+          pythonPackageSpecBuilder_.mergeFrom(value);
+        }
+        pythonPackageSpecBuilder_.setMessage(value);
+      }
+      taskCase_ = 7;
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     */
+    public Builder clearPythonPackageSpec() {
+      if (pythonPackageSpecBuilder_ == null) {
+        if (taskCase_ == 7) {
+          taskCase_ = 0;
+          task_ = null;
+          onChanged();
+        }
+      } else {
+        if (taskCase_ == 7) {
+          taskCase_ = 0;
+          task_ = null;
+        }
+        pythonPackageSpecBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     */
+    public com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder getPythonPackageSpecBuilder() {
+      return getPythonPackageSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.PythonPackageSpecOrBuilder
+        getPythonPackageSpecOrBuilder() {
+      if ((taskCase_ == 7) && (pythonPackageSpecBuilder_ != null)) {
+        return pythonPackageSpecBuilder_.getMessageOrBuilder();
+      } else {
+        if (taskCase_ == 7) {
+          return (com.google.cloud.aiplatform.v1.PythonPackageSpec) task_;
+        }
+        return com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Python packaged task.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.PythonPackageSpec,
+            com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder,
+            com.google.cloud.aiplatform.v1.PythonPackageSpecOrBuilder>
+        getPythonPackageSpecFieldBuilder() {
+      if (pythonPackageSpecBuilder_ == null) {
+        if (!(taskCase_ == 7)) {
+          task_ = com.google.cloud.aiplatform.v1.PythonPackageSpec.getDefaultInstance();
+        }
+        pythonPackageSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.PythonPackageSpec,
+                com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder,
+                com.google.cloud.aiplatform.v1.PythonPackageSpecOrBuilder>(
+                (com.google.cloud.aiplatform.v1.PythonPackageSpec) task_,
+                getParentForChildren(),
+                isClean());
+        task_ = null;
+      }
+      taskCase_ = 7;
+      onChanged();
+      ;
+      return pythonPackageSpecBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.MachineSpec machineSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MachineSpec,
+            com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+            com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>
+        machineSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return Whether the machineSpec field is set.
+     */
+    public boolean hasMachineSpec() {
+      return machineSpecBuilder_ != null || machineSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     *
+     * @return The machineSpec.
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec() {
+      if (machineSpecBuilder_ == null) {
+        return machineSpec_ == null
+            ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+            : machineSpec_;
+      } else {
+        return machineSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setMachineSpec(com.google.cloud.aiplatform.v1.MachineSpec value) {
+      if (machineSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        machineSpec_ = value;
+        onChanged();
+      } else {
+        machineSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder setMachineSpec(
+        com.google.cloud.aiplatform.v1.MachineSpec.Builder builderForValue) {
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        machineSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1.MachineSpec value) {
+      if (machineSpecBuilder_ == null) {
+        if (machineSpec_ != null) {
+          machineSpec_ =
+              com.google.cloud.aiplatform.v1.MachineSpec.newBuilder(machineSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          machineSpec_ = value;
+        }
+        onChanged();
+      } else {
+        machineSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public Builder clearMachineSpec() {
+      if (machineSpecBuilder_ == null) {
+        machineSpec_ = null;
+        onChanged();
+      } else {
+        machineSpec_ = null;
+        machineSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpec.Builder getMachineSpecBuilder() {
+
+      onChanged();
+      return getMachineSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
+      if (machineSpecBuilder_ != null) {
+        return machineSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return machineSpec_ == null
+            ? com.google.cloud.aiplatform.v1.MachineSpec.getDefaultInstance()
+            : machineSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. Immutable. The specification of a single machine.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.MachineSpec,
+            com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+            com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>
+        getMachineSpecFieldBuilder() {
+      if (machineSpecBuilder_ == null) {
+        machineSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.MachineSpec,
+                com.google.cloud.aiplatform.v1.MachineSpec.Builder,
+                com.google.cloud.aiplatform.v1.MachineSpecOrBuilder>(
+                getMachineSpec(), getParentForChildren(), isClean());
+        machineSpec_ = null;
+      }
+      return machineSpecBuilder_;
+    }
+
+    private long replicaCount_;
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The number of worker replicas to use for this worker pool.
+     * </pre>
+     *
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return The replicaCount.
+     */
+    @java.lang.Override
+    public long getReplicaCount() {
+      return replicaCount_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The number of worker replicas to use for this worker pool.
+     * </pre>
+     *
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @param value The replicaCount to set.
+     * @return This builder for chaining.
+     */
+    public Builder setReplicaCount(long value) {
+
+      replicaCount_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Optional. The number of worker replicas to use for this worker pool.
+     * </pre>
+     *
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearReplicaCount() {
+
+      replicaCount_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.DiskSpec diskSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DiskSpec,
+            com.google.cloud.aiplatform.v1.DiskSpec.Builder,
+            com.google.cloud.aiplatform.v1.DiskSpecOrBuilder>
+        diskSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     *
+     * @return Whether the diskSpec field is set.
+     */
+    public boolean hasDiskSpec() {
+      return diskSpecBuilder_ != null || diskSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     *
+     * @return The diskSpec.
+     */
+    public com.google.cloud.aiplatform.v1.DiskSpec getDiskSpec() {
+      if (diskSpecBuilder_ == null) {
+        return diskSpec_ == null
+            ? com.google.cloud.aiplatform.v1.DiskSpec.getDefaultInstance()
+            : diskSpec_;
+      } else {
+        return diskSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     */
+    public Builder setDiskSpec(com.google.cloud.aiplatform.v1.DiskSpec value) {
+      if (diskSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        diskSpec_ = value;
+        onChanged();
+      } else {
+        diskSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     */
+    public Builder setDiskSpec(com.google.cloud.aiplatform.v1.DiskSpec.Builder builderForValue) {
+      if (diskSpecBuilder_ == null) {
+        diskSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        diskSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     */
+    public Builder mergeDiskSpec(com.google.cloud.aiplatform.v1.DiskSpec value) {
+      if (diskSpecBuilder_ == null) {
+        if (diskSpec_ != null) {
+          diskSpec_ =
+              com.google.cloud.aiplatform.v1.DiskSpec.newBuilder(diskSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          diskSpec_ = value;
+        }
+        onChanged();
+      } else {
+        diskSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     */
+    public Builder clearDiskSpec() {
+      if (diskSpecBuilder_ == null) {
+        diskSpec_ = null;
+        onChanged();
+      } else {
+        diskSpec_ = null;
+        diskSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DiskSpec.Builder getDiskSpecBuilder() {
+
+      onChanged();
+      return getDiskSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     */
+    public com.google.cloud.aiplatform.v1.DiskSpecOrBuilder getDiskSpecOrBuilder() {
+      if (diskSpecBuilder_ != null) {
+        return diskSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return diskSpec_ == null
+            ? com.google.cloud.aiplatform.v1.DiskSpec.getDefaultInstance()
+            : diskSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Disk spec.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.DiskSpec,
+            com.google.cloud.aiplatform.v1.DiskSpec.Builder,
+            com.google.cloud.aiplatform.v1.DiskSpecOrBuilder>
+        getDiskSpecFieldBuilder() {
+      if (diskSpecBuilder_ == null) {
+        diskSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.DiskSpec,
+                com.google.cloud.aiplatform.v1.DiskSpec.Builder,
+                com.google.cloud.aiplatform.v1.DiskSpecOrBuilder>(
+                getDiskSpec(), getParentForChildren(), isClean());
+        diskSpec_ = null;
+      }
+      return diskSpecBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.WorkerPoolSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.WorkerPoolSpec)
+  private static final com.google.cloud.aiplatform.v1.WorkerPoolSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.WorkerPoolSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1.WorkerPoolSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<WorkerPoolSpec> PARSER =
+      new com.google.protobuf.AbstractParser<WorkerPoolSpec>() {
+        @java.lang.Override
+        public WorkerPoolSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new WorkerPoolSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<WorkerPoolSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<WorkerPoolSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.WorkerPoolSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WorkerPoolSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WorkerPoolSpecOrBuilder.java
new file mode 100644
index 000000000..e303ba31e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/WorkerPoolSpecOrBuilder.java
@@ -0,0 +1,186 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/custom_job.proto
+
+package com.google.cloud.aiplatform.v1;
+
+public interface WorkerPoolSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.WorkerPoolSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The custom container task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+   *
+   * @return Whether the containerSpec field is set.
+   */
+  boolean hasContainerSpec();
+  /**
+   *
+   *
+   * <pre>
+   * The custom container task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+   *
+   * @return The containerSpec.
+   */
+  com.google.cloud.aiplatform.v1.ContainerSpec getContainerSpec();
+  /**
+   *
+   *
+   * <pre>
+   * The custom container task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.ContainerSpec container_spec = 6;</code>
+   */
+  com.google.cloud.aiplatform.v1.ContainerSpecOrBuilder getContainerSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Python packaged task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+   *
+   * @return Whether the pythonPackageSpec field is set.
+   */
+  boolean hasPythonPackageSpec();
+  /**
+   *
+   *
+   * <pre>
+   * The Python packaged task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+   *
+   * @return The pythonPackageSpec.
+   */
+  com.google.cloud.aiplatform.v1.PythonPackageSpec getPythonPackageSpec();
+  /**
+   *
+   *
+   * <pre>
+   * The Python packaged task.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.PythonPackageSpec python_package_spec = 7;</code>
+   */
+  com.google.cloud.aiplatform.v1.PythonPackageSpecOrBuilder getPythonPackageSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return Whether the machineSpec field is set.
+   */
+  boolean hasMachineSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   *
+   * @return The machineSpec.
+   */
+  com.google.cloud.aiplatform.v1.MachineSpec getMachineSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Optional. Immutable. The specification of a single machine.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.MachineSpecOrBuilder getMachineSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Optional. The number of worker replicas to use for this worker pool.
+   * </pre>
+   *
+   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+   *
+   * @return The replicaCount.
+   */
+  long getReplicaCount();
+
+  /**
+   *
+   *
+   * <pre>
+   * Disk spec.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+   *
+   * @return Whether the diskSpec field is set.
+   */
+  boolean hasDiskSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Disk spec.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+   *
+   * @return The diskSpec.
+   */
+  com.google.cloud.aiplatform.v1.DiskSpec getDiskSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Disk spec.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.DiskSpec disk_spec = 5;</code>
+   */
+  com.google.cloud.aiplatform.v1.DiskSpecOrBuilder getDiskSpecOrBuilder();
+
+  public com.google.cloud.aiplatform.v1.WorkerPoolSpec.TaskCase getTaskCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstance.java
new file mode 100644
index 000000000..9133cf14a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstance.java
@@ -0,0 +1,942 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Image Classification.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance}
+ */
+public final class ImageClassificationPredictionInstance
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance)
+    ImageClassificationPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageClassificationPredictionInstance.newBuilder() to construct.
+  private ImageClassificationPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImageClassificationPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImageClassificationPredictionInstance();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageClassificationPredictionInstance(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              content_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              mimeType_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .ImageClassificationPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .ImageClassificationPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .ImageClassificationPredictionInstance.class,
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .ImageClassificationPredictionInstance.Builder.class);
+  }
+
+  public static final int CONTENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object content_;
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes or GCS URI to make the prediction on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  @java.lang.Override
+  public java.lang.String getContent() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      content_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes or GCS URI to make the prediction on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getContentBytes() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      content_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MIME_TYPE_FIELD_NUMBER = 2;
+  private volatile java.lang.Object mimeType_;
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/gif
+   * - image/png
+   * - image/webp
+   * - image/bmp
+   * - image/tiff
+   * - image/vnd.microsoft.icon
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  @java.lang.Override
+  public java.lang.String getMimeType() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      mimeType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/gif
+   * - image/png
+   * - image/webp
+   * - image/bmp
+   * - image/tiff
+   * - image/vnd.microsoft.icon
+   * </pre>
+   *
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction input format for Image Classification.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance)
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstanceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .ImageClassificationPredictionInstance.class,
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .ImageClassificationPredictionInstance.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      content_ = "";
+
+      mimeType_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageClassificationPredictionInstance
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageClassificationPredictionInstance
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageClassificationPredictionInstance
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .ImageClassificationPredictionInstance(this);
+      result.content_ = content_;
+      result.mimeType_ = mimeType_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.instance
+              .ImageClassificationPredictionInstance) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .ImageClassificationPredictionInstance)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.instance
+              .ImageClassificationPredictionInstance.getDefaultInstance()) return this;
+      if (!other.getContent().isEmpty()) {
+        content_ = other.content_;
+        onChanged();
+      }
+      if (!other.getMimeType().isEmpty()) {
+        mimeType_ = other.mimeType_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .ImageClassificationPredictionInstance)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
+     */
+    public java.lang.String getContent() {
+      java.lang.Object ref = content_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        content_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The bytes for content.
+     */
+    public com.google.protobuf.ByteString getContentBytes() {
+      java.lang.Object ref = content_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        content_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object mimeType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
+    public java.lang.String getMimeType() {
+      java.lang.Object ref = mimeType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        mimeType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
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+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The bytes for mimeType.
+     */
+    public com.google.protobuf.ByteString getMimeTypeBytes() {
+      java.lang.Object ref = mimeType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
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+        mimeType_ = b;
+        return b;
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+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageClassificationPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImageClassificationPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<ImageClassificationPredictionInstance>() {
+        @java.lang.Override
+        public ImageClassificationPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageClassificationPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImageClassificationPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImageClassificationPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageClassificationPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..fc5226a2d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstanceOrBuilder.java
@@ -0,0 +1,91 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface ImageClassificationPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes or GCS URI to make the prediction on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes or GCS URI to make the prediction on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/gif
+   * - image/png
+   * - image/webp
+   * - image/bmp
+   * - image/tiff
+   * - image/vnd.microsoft.icon
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/gif
+   * - image/png
+   * - image/webp
+   * - image/bmp
+   * - image/tiff
+   * - image/vnd.microsoft.icon
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstanceProto.java
new file mode 100644
index 000000000..decc0530a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageClassificationPredictionInstanceProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class ImageClassificationPredictionInstanceProto {
+  private ImageClassificationPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nMgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/image_classification.proto\022"
+          + "2google.cloud.aiplatform.v1.schema.predi"
+          + "ct.instance\032\034google/api/annotations.prot"
+          + "o\"K\n%ImageClassificationPredictionInstan"
+          + "ce\022\017\n\007content\030\001 \001(\t\022\021\n\tmime_type\030\002 \001(\tB\302"
+          + "\001\n6com.google.cloud.aiplatform.v1.schema"
+          + ".predict.instanceB*ImageClassificationPr"
+          + "edictionInstanceProtoP\001ZZgoogle.golang.o"
+          + "rg/genproto/googleapis/cloud/aiplatform/"
+          + "v1/schema/predict/instance;instanceb\006pro"
+          + "to3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageClassificationPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstance.java
new file mode 100644
index 000000000..15ec49366
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstance.java
@@ -0,0 +1,943 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Image Object Detection.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance}
+ */
+public final class ImageObjectDetectionPredictionInstance
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance)
+    ImageObjectDetectionPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageObjectDetectionPredictionInstance.newBuilder() to construct.
+  private ImageObjectDetectionPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImageObjectDetectionPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImageObjectDetectionPredictionInstance();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageObjectDetectionPredictionInstance(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              content_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              mimeType_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .ImageObjectDetectionPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .ImageObjectDetectionPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .ImageObjectDetectionPredictionInstance.class,
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .ImageObjectDetectionPredictionInstance.Builder.class);
+  }
+
+  public static final int CONTENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object content_;
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes or GCS URI to make the prediction on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  @java.lang.Override
+  public java.lang.String getContent() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      content_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes or GCS URI to make the prediction on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getContentBytes() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      content_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MIME_TYPE_FIELD_NUMBER = 2;
+  private volatile java.lang.Object mimeType_;
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/gif
+   * - image/png
+   * - image/webp
+   * - image/bmp
+   * - image/tiff
+   * - image/vnd.microsoft.icon
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  @java.lang.Override
+  public java.lang.String getMimeType() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      mimeType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/gif
+   * - image/png
+   * - image/webp
+   * - image/bmp
+   * - image/tiff
+   * - image/vnd.microsoft.icon
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMimeTypeBytes() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      mimeType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getContentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, content_);
+    }
+    if (!getMimeTypeBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, mimeType_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getContentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, content_);
+    }
+    if (!getMimeTypeBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, mimeType_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageObjectDetectionPredictionInstance)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .ImageObjectDetectionPredictionInstance)
+                obj;
+
+    if (!getContent().equals(other.getContent())) return false;
+    if (!getMimeType().equals(other.getMimeType())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONTENT_FIELD_NUMBER;
+    hash = (53 * hash) + getContent().hashCode();
+    hash = (37 * hash) + MIME_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + getMimeType().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction input format for Image Object Detection.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance)
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstanceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .ImageObjectDetectionPredictionInstance.class,
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .ImageObjectDetectionPredictionInstance.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      content_ = "";
+
+      mimeType_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageObjectDetectionPredictionInstance
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageObjectDetectionPredictionInstance
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageObjectDetectionPredictionInstance
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .ImageObjectDetectionPredictionInstance(this);
+      result.content_ = content_;
+      result.mimeType_ = mimeType_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.instance
+              .ImageObjectDetectionPredictionInstance) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .ImageObjectDetectionPredictionInstance)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.instance
+                .ImageObjectDetectionPredictionInstance
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.instance
+              .ImageObjectDetectionPredictionInstance.getDefaultInstance()) return this;
+      if (!other.getContent().isEmpty()) {
+        content_ = other.content_;
+        onChanged();
+      }
+      if (!other.getMimeType().isEmpty()) {
+        mimeType_ = other.mimeType_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .ImageObjectDetectionPredictionInstance)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
+     */
+    public java.lang.String getContent() {
+      java.lang.Object ref = content_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        content_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The bytes for content.
+     */
+    public com.google.protobuf.ByteString getContentBytes() {
+      java.lang.Object ref = content_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        content_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes or GCS URI to make the prediction on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object mimeType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
+    public java.lang.String getMimeType() {
+      java.lang.Object ref = mimeType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        mimeType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The bytes for mimeType.
+     */
+    public com.google.protobuf.ByteString getMimeTypeBytes() {
+      java.lang.Object ref = mimeType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        mimeType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/gif
+     * - image/png
+     * - image/webp
+     * - image/bmp
+     * - image/tiff
+     * - image/vnd.microsoft.icon
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageObjectDetectionPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImageObjectDetectionPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<ImageObjectDetectionPredictionInstance>() {
+        @java.lang.Override
+        public ImageObjectDetectionPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageObjectDetectionPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImageObjectDetectionPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImageObjectDetectionPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageObjectDetectionPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..33da17665
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstanceOrBuilder.java
@@ -0,0 +1,91 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface ImageObjectDetectionPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes or GCS URI to make the prediction on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes or GCS URI to make the prediction on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/gif
+   * - image/png
+   * - image/webp
+   * - image/bmp
+   * - image/tiff
+   * - image/vnd.microsoft.icon
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/gif
+   * - image/png
+   * - image/webp
+   * - image/bmp
+   * - image/tiff
+   * - image/vnd.microsoft.icon
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstanceProto.java
new file mode 100644
index 000000000..f1c73c2ba
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageObjectDetectionPredictionInstanceProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class ImageObjectDetectionPredictionInstanceProto {
+  private ImageObjectDetectionPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nOgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/image_object_detection.prot"
+          + "o\0222google.cloud.aiplatform.v1.schema.pre"
+          + "dict.instance\032\034google/api/annotations.pr"
+          + "oto\"L\n&ImageObjectDetectionPredictionIns"
+          + "tance\022\017\n\007content\030\001 \001(\t\022\021\n\tmime_type\030\002 \001("
+          + "\tB\303\001\n6com.google.cloud.aiplatform.v1.sch"
+          + "ema.predict.instanceB+ImageObjectDetecti"
+          + "onPredictionInstanceProtoP\001ZZgoogle.gola"
+          + "ng.org/genproto/googleapis/cloud/aiplatf"
+          + "orm/v1/schema/predict/instance;instanceb"
+          + "\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageObjectDetectionPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstance.java
new file mode 100644
index 000000000..46c90c91d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstance.java
@@ -0,0 +1,906 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Image Segmentation.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance}
+ */
+public final class ImageSegmentationPredictionInstance
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance)
+    ImageSegmentationPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageSegmentationPredictionInstance.newBuilder() to construct.
+  private ImageSegmentationPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImageSegmentationPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImageSegmentationPredictionInstance();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageSegmentationPredictionInstance(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
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+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
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+    return PARSER.parseFrom(data);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
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+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
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+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
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+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
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+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+          .ImageSegmentationPredictionInstance
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
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+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction input format for Image Segmentation.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
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+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance)
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstanceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageSegmentationPredictionInstance_descriptor;
+    }
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+    @java.lang.Override
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+          .ensureFieldAccessorsInitialized(
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+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .ImageSegmentationPredictionInstance.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
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+    private void maybeForceBuilderInitialization() {
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+    @java.lang.Override
+    public Builder clear() {
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+      content_ = "";
+
+      mimeType_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageSegmentationPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageSegmentationPredictionInstance
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageSegmentationPredictionInstance
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance
+          result = buildPartial();
+      if (!result.isInitialized()) {
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+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageSegmentationPredictionInstance
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance
+          result =
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+      result.mimeType_ = mimeType_;
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+    @java.lang.Override
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+                    .ImageSegmentationPredictionInstance)
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+      } else {
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+        return this;
+      }
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+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance
+            other) {
+      if (other
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+      if (!other.getContent().isEmpty()) {
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+    @java.lang.Override
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+    @java.lang.Override
+    public Builder mergeFrom(
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+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .ImageSegmentationPredictionInstance)
+                e.getUnfinishedMessage();
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+      return this;
+    }
+
+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
+     */
+    public java.lang.String getContent() {
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+        return s;
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+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The bytes for content.
+     */
+    public com.google.protobuf.ByteString getContentBytes() {
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+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The image bytes to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
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+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
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+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
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+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/png
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
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+        java.lang.String s = bs.toStringUtf8();
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+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/png
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+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/png
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
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+     * - image/png
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+     *
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+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the image. Only the images in below listed
+     * MIME types are supported.
+     * - image/jpeg
+     * - image/png
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .ImageSegmentationPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .ImageSegmentationPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImageSegmentationPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<ImageSegmentationPredictionInstance>() {
+        @java.lang.Override
+        public ImageSegmentationPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageSegmentationPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImageSegmentationPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImageSegmentationPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..51ea145e4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstanceOrBuilder.java
@@ -0,0 +1,81 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface ImageSegmentationPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The image bytes to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/png
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the image. Only the images in below listed
+   * MIME types are supported.
+   * - image/jpeg
+   * - image/png
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstanceProto.java
new file mode 100644
index 000000000..44a89ec9f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/ImageSegmentationPredictionInstanceProto.java
@@ -0,0 +1,73 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class ImageSegmentationPredictionInstanceProto {
+  private ImageSegmentationPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageSegmentationPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageSegmentationPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nKgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/image_segmentation.proto\0222g"
+          + "oogle.cloud.aiplatform.v1.schema.predict"
+          + ".instance\032\034google/api/annotations.proto\""
+          + "I\n#ImageSegmentationPredictionInstance\022\017"
+          + "\n\007content\030\001 \001(\t\022\021\n\tmime_type\030\002 \001(\tB\300\001\n6c"
+          + "om.google.cloud.aiplatform.v1.schema.pre"
+          + "dict.instanceB(ImageSegmentationPredicti"
+          + "onInstanceProtoP\001ZZgoogle.golang.org/gen"
+          + "proto/googleapis/cloud/aiplatform/v1/sch"
+          + "ema/predict/instance;instanceb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageSegmentationPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageSegmentationPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_ImageSegmentationPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstance.java
new file mode 100644
index 000000000..2bf33d9cd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstance.java
@@ -0,0 +1,899 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Text Classification.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance}
+ */
+public final class TextClassificationPredictionInstance
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance)
+    TextClassificationPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TextClassificationPredictionInstance.newBuilder() to construct.
+  private TextClassificationPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TextClassificationPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TextClassificationPredictionInstance();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TextClassificationPredictionInstance(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              content_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              mimeType_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .TextClassificationPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .TextClassificationPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .TextClassificationPredictionInstance.class,
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .TextClassificationPredictionInstance.Builder.class);
+  }
+
+  public static final int CONTENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object content_;
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  @java.lang.Override
+  public java.lang.String getContent() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      content_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getContentBytes() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      content_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MIME_TYPE_FIELD_NUMBER = 2;
+  private volatile java.lang.Object mimeType_;
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the text snippet. The supported MIME types are listed
+   * below.
+   * - text/plain
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  @java.lang.Override
+  public java.lang.String getMimeType() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      mimeType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the text snippet. The supported MIME types are listed
+   * below.
+   * - text/plain
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMimeTypeBytes() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      mimeType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getContentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, content_);
+    }
+    if (!getMimeTypeBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, mimeType_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getContentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, content_);
+    }
+    if (!getMimeTypeBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, mimeType_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.instance
+            .TextClassificationPredictionInstance)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .TextClassificationPredictionInstance)
+                obj;
+
+    if (!getContent().equals(other.getContent())) return false;
+    if (!getMimeType().equals(other.getMimeType())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONTENT_FIELD_NUMBER;
+    hash = (53 * hash) + getContent().hashCode();
+    hash = (37 * hash) + MIME_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + getMimeType().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction input format for Text Classification.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance)
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstanceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .TextClassificationPredictionInstance.class,
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .TextClassificationPredictionInstance.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      content_ = "";
+
+      mimeType_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .TextClassificationPredictionInstance
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .TextClassificationPredictionInstance
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .TextClassificationPredictionInstance
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .TextClassificationPredictionInstance(this);
+      result.content_ = content_;
+      result.mimeType_ = mimeType_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.instance
+              .TextClassificationPredictionInstance) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .TextClassificationPredictionInstance)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.instance
+              .TextClassificationPredictionInstance.getDefaultInstance()) return this;
+      if (!other.getContent().isEmpty()) {
+        content_ = other.content_;
+        onChanged();
+      }
+      if (!other.getMimeType().isEmpty()) {
+        mimeType_ = other.mimeType_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .TextClassificationPredictionInstance)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
+     */
+    public java.lang.String getContent() {
+      java.lang.Object ref = content_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        content_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The bytes for content.
+     */
+    public com.google.protobuf.ByteString getContentBytes() {
+      java.lang.Object ref = content_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        content_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object mimeType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
+    public java.lang.String getMimeType() {
+      java.lang.Object ref = mimeType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        mimeType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The bytes for mimeType.
+     */
+    public com.google.protobuf.ByteString getMimeTypeBytes() {
+      java.lang.Object ref = mimeType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        mimeType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .TextClassificationPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextClassificationPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TextClassificationPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<TextClassificationPredictionInstance>() {
+        @java.lang.Override
+        public TextClassificationPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TextClassificationPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TextClassificationPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TextClassificationPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..03b7b8442
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstanceOrBuilder.java
@@ -0,0 +1,79 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface TextClassificationPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the text snippet. The supported MIME types are listed
+   * below.
+   * - text/plain
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the text snippet. The supported MIME types are listed
+   * below.
+   * - text/plain
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstanceProto.java
new file mode 100644
index 000000000..f356bb7d3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextClassificationPredictionInstanceProto.java
@@ -0,0 +1,73 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class TextClassificationPredictionInstanceProto {
+  private TextClassificationPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nLgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/text_classification.proto\0222"
+          + "google.cloud.aiplatform.v1.schema.predic"
+          + "t.instance\032\034google/api/annotations.proto"
+          + "\"J\n$TextClassificationPredictionInstance"
+          + "\022\017\n\007content\030\001 \001(\t\022\021\n\tmime_type\030\002 \001(\tB\301\001\n"
+          + "6com.google.cloud.aiplatform.v1.schema.p"
+          + "redict.instanceB)TextClassificationPredi"
+          + "ctionInstanceProtoP\001ZZgoogle.golang.org/"
+          + "genproto/googleapis/cloud/aiplatform/v1/"
+          + "schema/predict/instance;instanceb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextClassificationPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstance.java
new file mode 100644
index 000000000..5554e5d20
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstance.java
@@ -0,0 +1,1098 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Text Extraction.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.TextExtractionPredictionInstance}
+ */
+public final class TextExtractionPredictionInstance extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.TextExtractionPredictionInstance)
+    TextExtractionPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TextExtractionPredictionInstance.newBuilder() to construct.
+  private TextExtractionPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TextExtractionPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+    key_ = "";
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
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+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+  public static Builder newBuilder() {
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+  public static Builder newBuilder(
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+   * </pre>
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+            (com.google.cloud.aiplatform.v1.schema.predict.instance
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+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
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+    public java.lang.String getContent() {
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+    /**
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+     *
+     * <pre>
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+     *
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+     *
+     * @return The bytes for content.
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+    public com.google.protobuf.ByteString getContentBytes() {
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+        content_ = b;
+        return b;
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+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object mimeType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
+    public java.lang.String getMimeType() {
+      java.lang.Object ref = mimeType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        mimeType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The bytes for mimeType.
+     */
+    public com.google.protobuf.ByteString getMimeTypeBytes() {
+      java.lang.Object ref = mimeType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        mimeType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object key_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * This field is only used for batch prediction. If a key is provided, the
+     * batch prediction result will by mapped to this key. If omitted, then the
+     * batch prediction result will contain the entire input instance. AI Platform
+     * will not check if keys in the request are duplicates, so it is up to the
+     * caller to ensure the keys are unique.
+     * </pre>
+     *
+     * <code>string key = 3;</code>
+     *
+     * @return The key.
+     */
+    public java.lang.String getKey() {
+      java.lang.Object ref = key_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        key_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * This field is only used for batch prediction. If a key is provided, the
+     * batch prediction result will by mapped to this key. If omitted, then the
+     * batch prediction result will contain the entire input instance. AI Platform
+     * will not check if keys in the request are duplicates, so it is up to the
+     * caller to ensure the keys are unique.
+     * </pre>
+     *
+     * <code>string key = 3;</code>
+     *
+     * @return The bytes for key.
+     */
+    public com.google.protobuf.ByteString getKeyBytes() {
+      java.lang.Object ref = key_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        key_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * This field is only used for batch prediction. If a key is provided, the
+     * batch prediction result will by mapped to this key. If omitted, then the
+     * batch prediction result will contain the entire input instance. AI Platform
+     * will not check if keys in the request are duplicates, so it is up to the
+     * caller to ensure the keys are unique.
+     * </pre>
+     *
+     * <code>string key = 3;</code>
+     *
+     * @param value The key to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKey(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      key_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * This field is only used for batch prediction. If a key is provided, the
+     * batch prediction result will by mapped to this key. If omitted, then the
+     * batch prediction result will contain the entire input instance. AI Platform
+     * will not check if keys in the request are duplicates, so it is up to the
+     * caller to ensure the keys are unique.
+     * </pre>
+     *
+     * <code>string key = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearKey() {
+
+      key_ = getDefaultInstance().getKey();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * This field is only used for batch prediction. If a key is provided, the
+     * batch prediction result will by mapped to this key. If omitted, then the
+     * batch prediction result will contain the entire input instance. AI Platform
+     * will not check if keys in the request are duplicates, so it is up to the
+     * caller to ensure the keys are unique.
+     * </pre>
+     *
+     * <code>string key = 3;</code>
+     *
+     * @param value The bytes for key to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKeyBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      key_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.TextExtractionPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.TextExtractionPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextExtractionPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .TextExtractionPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextExtractionPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TextExtractionPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<TextExtractionPredictionInstance>() {
+        @java.lang.Override
+        public TextExtractionPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TextExtractionPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TextExtractionPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TextExtractionPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance.TextExtractionPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..b8aeface9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstanceOrBuilder.java
@@ -0,0 +1,112 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface TextExtractionPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.TextExtractionPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the text snippet. The supported MIME types are listed
+   * below.
+   * - text/plain
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the text snippet. The supported MIME types are listed
+   * below.
+   * - text/plain
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * This field is only used for batch prediction. If a key is provided, the
+   * batch prediction result will by mapped to this key. If omitted, then the
+   * batch prediction result will contain the entire input instance. AI Platform
+   * will not check if keys in the request are duplicates, so it is up to the
+   * caller to ensure the keys are unique.
+   * </pre>
+   *
+   * <code>string key = 3;</code>
+   *
+   * @return The key.
+   */
+  java.lang.String getKey();
+  /**
+   *
+   *
+   * <pre>
+   * This field is only used for batch prediction. If a key is provided, the
+   * batch prediction result will by mapped to this key. If omitted, then the
+   * batch prediction result will contain the entire input instance. AI Platform
+   * will not check if keys in the request are duplicates, so it is up to the
+   * caller to ensure the keys are unique.
+   * </pre>
+   *
+   * <code>string key = 3;</code>
+   *
+   * @return The bytes for key.
+   */
+  com.google.protobuf.ByteString getKeyBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstanceProto.java
new file mode 100644
index 000000000..4b091b652
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextExtractionPredictionInstanceProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class TextExtractionPredictionInstanceProto {
+  private TextExtractionPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextExtractionPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextExtractionPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nHgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/text_extraction.proto\0222goog"
+          + "le.cloud.aiplatform.v1.schema.predict.in"
+          + "stance\032\034google/api/annotations.proto\"S\n "
+          + "TextExtractionPredictionInstance\022\017\n\007cont"
+          + "ent\030\001 \001(\t\022\021\n\tmime_type\030\002 \001(\t\022\013\n\003key\030\003 \001("
+          + "\tB\275\001\n6com.google.cloud.aiplatform.v1.sch"
+          + "ema.predict.instanceB%TextExtractionPred"
+          + "ictionInstanceProtoP\001ZZgoogle.golang.org"
+          + "/genproto/googleapis/cloud/aiplatform/v1"
+          + "/schema/predict/instance;instanceb\006proto"
+          + "3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextExtractionPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextExtractionPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextExtractionPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType", "Key",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstance.java
new file mode 100644
index 000000000..e7f80f18c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstance.java
@@ -0,0 +1,889 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Text Sentiment.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance}
+ */
+public final class TextSentimentPredictionInstance extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)
+    TextSentimentPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TextSentimentPredictionInstance.newBuilder() to construct.
+  private TextSentimentPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TextSentimentPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TextSentimentPredictionInstance();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TextSentimentPredictionInstance(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              content_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              mimeType_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .TextSentimentPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .TextSentimentPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+                .class,
+            com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+                .Builder.class);
+  }
+
+  public static final int CONTENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object content_;
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  @java.lang.Override
+  public java.lang.String getContent() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      content_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getContentBytes() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      content_ = b;
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+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, mimeType_);
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+  public int getSerializedSize() {
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+    size = 0;
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+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
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+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)) {
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+    }
+    com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance other =
+        (com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)
+            obj;
+
+    if (!getContent().equals(other.getContent())) return false;
+    if (!getMimeType().equals(other.getMimeType())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
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+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONTENT_FIELD_NUMBER;
+    hash = (53 * hash) + getContent().hashCode();
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+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction input format for Text Sentiment.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstanceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      content_ = "";
+
+      mimeType_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .TextSentimentPredictionInstance(this);
+      result.content_ = content_;
+      result.mimeType_ = mimeType_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+              .getDefaultInstance()) return this;
+      if (!other.getContent().isEmpty()) {
+        content_ = other.content_;
+        onChanged();
+      }
+      if (!other.getMimeType().isEmpty()) {
+        mimeType_ = other.mimeType_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
+     */
+    public java.lang.String getContent() {
+      java.lang.Object ref = content_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        content_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The bytes for content.
+     */
+    public com.google.protobuf.ByteString getContentBytes() {
+      java.lang.Object ref = content_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        content_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The text snippet to make the predictions on.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object mimeType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
+    public java.lang.String getMimeType() {
+      java.lang.Object ref = mimeType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        mimeType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The bytes for mimeType.
+     */
+    public com.google.protobuf.ByteString getMimeTypeBytes() {
+      java.lang.Object ref = mimeType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        mimeType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the text snippet. The supported MIME types are listed
+     * below.
+     * - text/plain
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .TextSentimentPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .TextSentimentPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TextSentimentPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<TextSentimentPredictionInstance>() {
+        @java.lang.Override
+        public TextSentimentPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TextSentimentPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TextSentimentPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TextSentimentPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..b46e02e24
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstanceOrBuilder.java
@@ -0,0 +1,79 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface TextSentimentPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The text snippet to make the predictions on.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the text snippet. The supported MIME types are listed
+   * below.
+   * - text/plain
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the text snippet. The supported MIME types are listed
+   * below.
+   * - text/plain
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstanceProto.java
new file mode 100644
index 000000000..3dc6da9bd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/TextSentimentPredictionInstanceProto.java
@@ -0,0 +1,73 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class TextSentimentPredictionInstanceProto {
+  private TextSentimentPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nGgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/text_sentiment.proto\0222googl"
+          + "e.cloud.aiplatform.v1.schema.predict.ins"
+          + "tance\032\034google/api/annotations.proto\"E\n\037T"
+          + "extSentimentPredictionInstance\022\017\n\007conten"
+          + "t\030\001 \001(\t\022\021\n\tmime_type\030\002 \001(\tB\274\001\n6com.googl"
+          + "e.cloud.aiplatform.v1.schema.predict.ins"
+          + "tanceB$TextSentimentPredictionInstancePr"
+          + "otoP\001ZZgoogle.golang.org/genproto/google"
+          + "apis/cloud/aiplatform/v1/schema/predict/"
+          + "instance;instanceb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_TextSentimentPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java
new file mode 100644
index 000000000..a2c74a265
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java
@@ -0,0 +1,1312 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Video Action Recognition.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance}
+ */
+public final class VideoActionRecognitionPredictionInstance
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance)
+    VideoActionRecognitionPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoActionRecognitionPredictionInstance.newBuilder() to construct.
+  private VideoActionRecognitionPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoActionRecognitionPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+    timeSegmentStart_ = "";
+    timeSegmentEnd_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoActionRecognitionPredictionInstance();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoActionRecognitionPredictionInstance(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              content_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              mimeType_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              timeSegmentStart_ = s;
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              timeSegmentEnd_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .VideoActionRecognitionPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .VideoActionRecognitionPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .VideoActionRecognitionPredictionInstance.class,
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .VideoActionRecognitionPredictionInstance.Builder.class);
+  }
+
+  public static final int CONTENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object content_;
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  @java.lang.Override
+  public java.lang.String getContent() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      content_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getContentBytes() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      content_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MIME_TYPE_FIELD_NUMBER = 2;
+  private volatile java.lang.Object mimeType_;
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  @java.lang.Override
+  public java.lang.String getMimeType() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      mimeType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMimeTypeBytes() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      mimeType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TIME_SEGMENT_START_FIELD_NUMBER = 3;
+  private volatile java.lang.Object timeSegmentStart_;
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  @java.lang.Override
+  public java.lang.String getTimeSegmentStart() {
+    java.lang.Object ref = timeSegmentStart_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      timeSegmentStart_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The bytes for timeSegmentStart.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
+    java.lang.Object ref = timeSegmentStart_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      timeSegmentStart_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TIME_SEGMENT_END_FIELD_NUMBER = 4;
+  private volatile java.lang.Object timeSegmentEnd_;
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  @java.lang.Override
+  public java.lang.String getTimeSegmentEnd() {
+    java.lang.Object ref = timeSegmentEnd_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      timeSegmentEnd_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The bytes for timeSegmentEnd.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTimeSegmentEndBytes() {
+    java.lang.Object ref = timeSegmentEnd_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      timeSegmentEnd_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getContentBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, content_);
+    }
+    if (!getMimeTypeBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, mimeType_);
+    }
+    if (!getTimeSegmentStartBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, timeSegmentStart_);
+    }
+    if (!getTimeSegmentEndBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, timeSegmentEnd_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getContentBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, content_);
+    }
+    if (!getMimeTypeBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, mimeType_);
+    }
+    if (!getTimeSegmentStartBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, timeSegmentStart_);
+    }
+    if (!getTimeSegmentEndBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, timeSegmentEnd_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoActionRecognitionPredictionInstance)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .VideoActionRecognitionPredictionInstance)
+                obj;
+
+    if (!getContent().equals(other.getContent())) return false;
+    if (!getMimeType().equals(other.getMimeType())) return false;
+    if (!getTimeSegmentStart().equals(other.getTimeSegmentStart())) return false;
+    if (!getTimeSegmentEnd().equals(other.getTimeSegmentEnd())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONTENT_FIELD_NUMBER;
+    hash = (53 * hash) + getContent().hashCode();
+    hash = (37 * hash) + MIME_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + getMimeType().hashCode();
+    hash = (37 * hash) + TIME_SEGMENT_START_FIELD_NUMBER;
+    hash = (53 * hash) + getTimeSegmentStart().hashCode();
+    hash = (37 * hash) + TIME_SEGMENT_END_FIELD_NUMBER;
+    hash = (53 * hash) + getTimeSegmentEnd().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoActionRecognitionPredictionInstance
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction input format for Video Action Recognition.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance)
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstanceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .VideoActionRecognitionPredictionInstance.class,
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .VideoActionRecognitionPredictionInstance.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      content_ = "";
+
+      mimeType_ = "";
+
+      timeSegmentStart_ = "";
+
+      timeSegmentEnd_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoActionRecognitionPredictionInstance
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoActionRecognitionPredictionInstance
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoActionRecognitionPredictionInstance
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoActionRecognitionPredictionInstance
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoActionRecognitionPredictionInstance
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .VideoActionRecognitionPredictionInstance(this);
+      result.content_ = content_;
+      result.mimeType_ = mimeType_;
+      result.timeSegmentStart_ = timeSegmentStart_;
+      result.timeSegmentEnd_ = timeSegmentEnd_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoActionRecognitionPredictionInstance) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .VideoActionRecognitionPredictionInstance)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.instance
+                .VideoActionRecognitionPredictionInstance
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoActionRecognitionPredictionInstance.getDefaultInstance()) return this;
+      if (!other.getContent().isEmpty()) {
+        content_ = other.content_;
+        onChanged();
+      }
+      if (!other.getMimeType().isEmpty()) {
+        mimeType_ = other.mimeType_;
+        onChanged();
+      }
+      if (!other.getTimeSegmentStart().isEmpty()) {
+        timeSegmentStart_ = other.timeSegmentStart_;
+        onChanged();
+      }
+      if (!other.getTimeSegmentEnd().isEmpty()) {
+        timeSegmentEnd_ = other.timeSegmentEnd_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoActionRecognitionPredictionInstance
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .VideoActionRecognitionPredictionInstance)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
+     */
+    public java.lang.String getContent() {
+      java.lang.Object ref = content_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        content_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The bytes for content.
+     */
+    public com.google.protobuf.ByteString getContentBytes() {
+      java.lang.Object ref = content_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        content_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object mimeType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
+    public java.lang.String getMimeType() {
+      java.lang.Object ref = mimeType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        mimeType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The bytes for mimeType.
+     */
+    public com.google.protobuf.ByteString getMimeTypeBytes() {
+      java.lang.Object ref = mimeType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        mimeType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object timeSegmentStart_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return The timeSegmentStart.
+     */
+    public java.lang.String getTimeSegmentStart() {
+      java.lang.Object ref = timeSegmentStart_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        timeSegmentStart_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return The bytes for timeSegmentStart.
+     */
+    public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
+      java.lang.Object ref = timeSegmentStart_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        timeSegmentStart_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @param value The timeSegmentStart to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentStart(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      timeSegmentStart_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTimeSegmentStart() {
+
+      timeSegmentStart_ = getDefaultInstance().getTimeSegmentStart();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @param value The bytes for timeSegmentStart to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentStartBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      timeSegmentStart_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object timeSegmentEnd_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return The timeSegmentEnd.
+     */
+    public java.lang.String getTimeSegmentEnd() {
+      java.lang.Object ref = timeSegmentEnd_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        timeSegmentEnd_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return The bytes for timeSegmentEnd.
+     */
+    public com.google.protobuf.ByteString getTimeSegmentEndBytes() {
+      java.lang.Object ref = timeSegmentEnd_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        timeSegmentEnd_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @param value The timeSegmentEnd to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentEnd(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      timeSegmentEnd_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTimeSegmentEnd() {
+
+      timeSegmentEnd_ = getDefaultInstance().getTimeSegmentEnd();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @param value The bytes for timeSegmentEnd to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentEndBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      timeSegmentEnd_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoActionRecognitionPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoActionRecognitionPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<VideoActionRecognitionPredictionInstance>() {
+        @java.lang.Override
+        public VideoActionRecognitionPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoActionRecognitionPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoActionRecognitionPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoActionRecognitionPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoActionRecognitionPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..6cdb5865b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java
@@ -0,0 +1,143 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface VideoActionRecognitionPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  java.lang.String getTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The bytes for timeSegmentStart.
+   */
+  com.google.protobuf.ByteString getTimeSegmentStartBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  java.lang.String getTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The bytes for timeSegmentEnd.
+   */
+  com.google.protobuf.ByteString getTimeSegmentEndBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstanceProto.java
new file mode 100644
index 000000000..dccd4a2c2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoActionRecognitionPredictionInstanceProto.java
@@ -0,0 +1,75 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class VideoActionRecognitionPredictionInstanceProto {
+  private VideoActionRecognitionPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nQgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/video_action_recognition.pr"
+          + "oto\0222google.cloud.aiplatform.v1.schema.p"
+          + "redict.instance\032\034google/api/annotations."
+          + "proto\"\204\001\n(VideoActionRecognitionPredicti"
+          + "onInstance\022\017\n\007content\030\001 \001(\t\022\021\n\tmime_type"
+          + "\030\002 \001(\t\022\032\n\022time_segment_start\030\003 \001(\t\022\030\n\020ti"
+          + "me_segment_end\030\004 \001(\tB\305\001\n6com.google.clou"
+          + "d.aiplatform.v1.schema.predict.instanceB"
+          + "-VideoActionRecognitionPredictionInstanc"
+          + "eProtoP\001ZZgoogle.golang.org/genproto/goo"
+          + "gleapis/cloud/aiplatform/v1/schema/predi"
+          + "ct/instance;instanceb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoActionRecognitionPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType", "TimeSegmentStart", "TimeSegmentEnd",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstance.java
new file mode 100644
index 000000000..32eeaf6bf
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstance.java
@@ -0,0 +1,1307 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Video Classification.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance}
+ */
+public final class VideoClassificationPredictionInstance
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance)
+    VideoClassificationPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoClassificationPredictionInstance.newBuilder() to construct.
+  private VideoClassificationPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoClassificationPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+    timeSegmentStart_ = "";
+    timeSegmentEnd_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoClassificationPredictionInstance();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoClassificationPredictionInstance(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              content_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              mimeType_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              timeSegmentStart_ = s;
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              timeSegmentEnd_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .VideoClassificationPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .VideoClassificationPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .VideoClassificationPredictionInstance.class,
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .VideoClassificationPredictionInstance.Builder.class);
+  }
+
+  public static final int CONTENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object content_;
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  @java.lang.Override
+  public java.lang.String getContent() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      content_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getContentBytes() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      content_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MIME_TYPE_FIELD_NUMBER = 2;
+  private volatile java.lang.Object mimeType_;
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  @java.lang.Override
+  public java.lang.String getMimeType() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      mimeType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMimeTypeBytes() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      mimeType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TIME_SEGMENT_START_FIELD_NUMBER = 3;
+  private volatile java.lang.Object timeSegmentStart_;
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  @java.lang.Override
+  public java.lang.String getTimeSegmentStart() {
+    java.lang.Object ref = timeSegmentStart_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      timeSegmentStart_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The bytes for timeSegmentStart.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
+    java.lang.Object ref = timeSegmentStart_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      timeSegmentStart_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TIME_SEGMENT_END_FIELD_NUMBER = 4;
+  private volatile java.lang.Object timeSegmentEnd_;
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  @java.lang.Override
+  public java.lang.String getTimeSegmentEnd() {
+    java.lang.Object ref = timeSegmentEnd_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      timeSegmentEnd_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The bytes for timeSegmentEnd.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTimeSegmentEndBytes() {
+    java.lang.Object ref = timeSegmentEnd_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      timeSegmentEnd_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
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+      parseFrom(java.nio.ByteBuffer data)
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+    return PARSER.parseFrom(data);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
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+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
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+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
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+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction input format for Video Classification.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance)
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstanceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_descriptor;
+    }
+
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+                  .VideoClassificationPredictionInstance.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
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+
+      mimeType_ = "";
+
+      timeSegmentStart_ = "";
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+      timeSegmentEnd_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoClassificationPredictionInstance
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoClassificationPredictionInstance
+        build() {
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+      }
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+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoClassificationPredictionInstance
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+      result.timeSegmentStart_ = timeSegmentStart_;
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+      onBuilt();
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+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoClassificationPredictionInstance) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .VideoClassificationPredictionInstance)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoClassificationPredictionInstance.getDefaultInstance()) return this;
+      if (!other.getContent().isEmpty()) {
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+        onChanged();
+      }
+      if (!other.getMimeType().isEmpty()) {
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+        onChanged();
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+      if (!other.getTimeSegmentStart().isEmpty()) {
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+        onChanged();
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+      if (!other.getTimeSegmentEnd().isEmpty()) {
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+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .VideoClassificationPredictionInstance)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
+     */
+    public java.lang.String getContent() {
+      java.lang.Object ref = content_;
+      if (!(ref instanceof java.lang.String)) {
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+        java.lang.String s = bs.toStringUtf8();
+        content_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The bytes for content.
+     */
+    public com.google.protobuf.ByteString getContentBytes() {
+      java.lang.Object ref = content_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        content_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object mimeType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
+    public java.lang.String getMimeType() {
+      java.lang.Object ref = mimeType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        mimeType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
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+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The bytes for mimeType.
+     */
+    public com.google.protobuf.ByteString getMimeTypeBytes() {
+      java.lang.Object ref = mimeType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        mimeType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object timeSegmentStart_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return The timeSegmentStart.
+     */
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+      java.lang.Object ref = timeSegmentStart_;
+      if (!(ref instanceof java.lang.String)) {
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+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return The bytes for timeSegmentStart.
+     */
+    public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
+      java.lang.Object ref = timeSegmentStart_;
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+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @param value The timeSegmentStart to set.
+     * @return This builder for chaining.
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+
+      timeSegmentStart_ = value;
+      onChanged();
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTimeSegmentStart() {
+
+      timeSegmentStart_ = getDefaultInstance().getTimeSegmentStart();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @param value The bytes for timeSegmentStart to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentStartBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      timeSegmentStart_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object timeSegmentEnd_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return The timeSegmentEnd.
+     */
+    public java.lang.String getTimeSegmentEnd() {
+      java.lang.Object ref = timeSegmentEnd_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        timeSegmentEnd_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return The bytes for timeSegmentEnd.
+     */
+    public com.google.protobuf.ByteString getTimeSegmentEndBytes() {
+      java.lang.Object ref = timeSegmentEnd_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        timeSegmentEnd_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @param value The timeSegmentEnd to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentEnd(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      timeSegmentEnd_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTimeSegmentEnd() {
+
+      timeSegmentEnd_ = getDefaultInstance().getTimeSegmentEnd();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @param value The bytes for timeSegmentEnd to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentEndBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      timeSegmentEnd_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoClassificationPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoClassificationPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<VideoClassificationPredictionInstance>() {
+        @java.lang.Override
+        public VideoClassificationPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoClassificationPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoClassificationPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoClassificationPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoClassificationPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..1d3e71732
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java
@@ -0,0 +1,143 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface VideoClassificationPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  java.lang.String getTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The bytes for timeSegmentStart.
+   */
+  com.google.protobuf.ByteString getTimeSegmentStartBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  java.lang.String getTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The bytes for timeSegmentEnd.
+   */
+  com.google.protobuf.ByteString getTimeSegmentEndBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstanceProto.java
new file mode 100644
index 000000000..42258c2db
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoClassificationPredictionInstanceProto.java
@@ -0,0 +1,75 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class VideoClassificationPredictionInstanceProto {
+  private VideoClassificationPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nMgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/video_classification.proto\022"
+          + "2google.cloud.aiplatform.v1.schema.predi"
+          + "ct.instance\032\034google/api/annotations.prot"
+          + "o\"\201\001\n%VideoClassificationPredictionInsta"
+          + "nce\022\017\n\007content\030\001 \001(\t\022\021\n\tmime_type\030\002 \001(\t\022"
+          + "\032\n\022time_segment_start\030\003 \001(\t\022\030\n\020time_segm"
+          + "ent_end\030\004 \001(\tB\302\001\n6com.google.cloud.aipla"
+          + "tform.v1.schema.predict.instanceB*VideoC"
+          + "lassificationPredictionInstanceProtoP\001ZZ"
+          + "google.golang.org/genproto/googleapis/cl"
+          + "oud/aiplatform/v1/schema/predict/instanc"
+          + "e;instanceb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoClassificationPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType", "TimeSegmentStart", "TimeSegmentEnd",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java
new file mode 100644
index 000000000..daaca200c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java
@@ -0,0 +1,1307 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction input format for Video Object Tracking.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance}
+ */
+public final class VideoObjectTrackingPredictionInstance
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance)
+    VideoObjectTrackingPredictionInstanceOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoObjectTrackingPredictionInstance.newBuilder() to construct.
+  private VideoObjectTrackingPredictionInstance(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoObjectTrackingPredictionInstance() {
+    content_ = "";
+    mimeType_ = "";
+    timeSegmentStart_ = "";
+    timeSegmentEnd_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoObjectTrackingPredictionInstance();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoObjectTrackingPredictionInstance(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              content_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              mimeType_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              timeSegmentStart_ = s;
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              timeSegmentEnd_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .VideoObjectTrackingPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.instance
+        .VideoObjectTrackingPredictionInstanceProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .VideoObjectTrackingPredictionInstance.class,
+            com.google.cloud.aiplatform.v1.schema.predict.instance
+                .VideoObjectTrackingPredictionInstance.Builder.class);
+  }
+
+  public static final int CONTENT_FIELD_NUMBER = 1;
+  private volatile java.lang.Object content_;
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  @java.lang.Override
+  public java.lang.String getContent() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      content_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getContentBytes() {
+    java.lang.Object ref = content_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      content_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int MIME_TYPE_FIELD_NUMBER = 2;
+  private volatile java.lang.Object mimeType_;
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  @java.lang.Override
+  public java.lang.String getMimeType() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      mimeType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getMimeTypeBytes() {
+    java.lang.Object ref = mimeType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      mimeType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TIME_SEGMENT_START_FIELD_NUMBER = 3;
+  private volatile java.lang.Object timeSegmentStart_;
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  @java.lang.Override
+  public java.lang.String getTimeSegmentStart() {
+    java.lang.Object ref = timeSegmentStart_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
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+      java.lang.String s = bs.toStringUtf8();
+      timeSegmentStart_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The bytes for timeSegmentStart.
+   */
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+  public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
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+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
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+  public static final int TIME_SEGMENT_END_FIELD_NUMBER = 4;
+  private volatile java.lang.Object timeSegmentEnd_;
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The timeSegmentEnd.
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+  public java.lang.String getTimeSegmentEnd() {
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+      java.lang.String s = bs.toStringUtf8();
+      timeSegmentEnd_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The bytes for timeSegmentEnd.
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+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
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+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.instance
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+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance
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+                    .VideoObjectTrackingPredictionInstance)
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+
+    if (!getContent().equals(other.getContent())) return false;
+    if (!getMimeType().equals(other.getMimeType())) return false;
+    if (!getTimeSegmentStart().equals(other.getTimeSegmentStart())) return false;
+    if (!getTimeSegmentEnd().equals(other.getTimeSegmentEnd())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
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+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
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+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONTENT_FIELD_NUMBER;
+    hash = (53 * hash) + getContent().hashCode();
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+    hash = (37 * hash) + TIME_SEGMENT_START_FIELD_NUMBER;
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+    hash = (37 * hash) + TIME_SEGMENT_END_FIELD_NUMBER;
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+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction input format for Video Object Tracking.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance)
+      com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstanceOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .VideoObjectTrackingPredictionInstance.class,
+              com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .VideoObjectTrackingPredictionInstance.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      content_ = "";
+
+      mimeType_ = "";
+
+      timeSegmentStart_ = "";
+
+      timeSegmentEnd_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstanceProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoObjectTrackingPredictionInstance
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoObjectTrackingPredictionInstance
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoObjectTrackingPredictionInstance
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.instance
+                  .VideoObjectTrackingPredictionInstance(this);
+      result.content_ = content_;
+      result.mimeType_ = mimeType_;
+      result.timeSegmentStart_ = timeSegmentStart_;
+      result.timeSegmentEnd_ = timeSegmentEnd_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoObjectTrackingPredictionInstance) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .VideoObjectTrackingPredictionInstance)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.instance
+              .VideoObjectTrackingPredictionInstance.getDefaultInstance()) return this;
+      if (!other.getContent().isEmpty()) {
+        content_ = other.content_;
+        onChanged();
+      }
+      if (!other.getMimeType().isEmpty()) {
+        mimeType_ = other.mimeType_;
+        onChanged();
+      }
+      if (!other.getTimeSegmentStart().isEmpty()) {
+        timeSegmentStart_ = other.timeSegmentStart_;
+        onChanged();
+      }
+      if (!other.getTimeSegmentEnd().isEmpty()) {
+        timeSegmentEnd_ = other.timeSegmentEnd_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.instance
+                    .VideoObjectTrackingPredictionInstance)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object content_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The content.
+     */
+    public java.lang.String getContent() {
+      java.lang.Object ref = content_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        content_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return The bytes for content.
+     */
+    public com.google.protobuf.ByteString getContentBytes() {
+      java.lang.Object ref = content_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        content_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContent(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearContent() {
+
+      content_ = getDefaultInstance().getContent();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Google Cloud Storage location of the video on which to perform the
+     * prediction.
+     * </pre>
+     *
+     * <code>string content = 1;</code>
+     *
+     * @param value The bytes for content to set.
+     * @return This builder for chaining.
+     */
+    public Builder setContentBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      content_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object mimeType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The mimeType.
+     */
+    public java.lang.String getMimeType() {
+      java.lang.Object ref = mimeType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        mimeType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return The bytes for mimeType.
+     */
+    public com.google.protobuf.ByteString getMimeTypeBytes() {
+      java.lang.Object ref = mimeType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        mimeType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMimeType() {
+
+      mimeType_ = getDefaultInstance().getMimeType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The MIME type of the content of the video. Only the following are
+     * supported: video/mp4 video/avi video/quicktime
+     * </pre>
+     *
+     * <code>string mime_type = 2;</code>
+     *
+     * @param value The bytes for mimeType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMimeTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      mimeType_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object timeSegmentStart_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return The timeSegmentStart.
+     */
+    public java.lang.String getTimeSegmentStart() {
+      java.lang.Object ref = timeSegmentStart_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        timeSegmentStart_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return The bytes for timeSegmentStart.
+     */
+    public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
+      java.lang.Object ref = timeSegmentStart_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        timeSegmentStart_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @param value The timeSegmentStart to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentStart(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      timeSegmentStart_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTimeSegmentStart() {
+
+      timeSegmentStart_ = getDefaultInstance().getTimeSegmentStart();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision.
+     * </pre>
+     *
+     * <code>string time_segment_start = 3;</code>
+     *
+     * @param value The bytes for timeSegmentStart to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentStartBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      timeSegmentStart_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object timeSegmentEnd_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return The timeSegmentEnd.
+     */
+    public java.lang.String getTimeSegmentEnd() {
+      java.lang.Object ref = timeSegmentEnd_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        timeSegmentEnd_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return The bytes for timeSegmentEnd.
+     */
+    public com.google.protobuf.ByteString getTimeSegmentEndBytes() {
+      java.lang.Object ref = timeSegmentEnd_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        timeSegmentEnd_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @param value The timeSegmentEnd to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentEnd(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      timeSegmentEnd_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTimeSegmentEnd() {
+
+      timeSegmentEnd_ = getDefaultInstance().getTimeSegmentEnd();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment on which to perform
+     * the prediction. Expressed as a number of seconds as measured from the
+     * start of the video, with "s" appended at the end. Fractions are allowed,
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
+     * </pre>
+     *
+     * <code>string time_segment_end = 4;</code>
+     *
+     * @param value The bytes for timeSegmentEnd to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTimeSegmentEndBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      timeSegmentEnd_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.instance
+            .VideoObjectTrackingPredictionInstance();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoObjectTrackingPredictionInstance> PARSER =
+      new com.google.protobuf.AbstractParser<VideoObjectTrackingPredictionInstance>() {
+        @java.lang.Override
+        public VideoObjectTrackingPredictionInstance parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoObjectTrackingPredictionInstance(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoObjectTrackingPredictionInstance> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoObjectTrackingPredictionInstance> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.instance
+          .VideoObjectTrackingPredictionInstance
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java
new file mode 100644
index 000000000..512b2ccbc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java
@@ -0,0 +1,143 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public interface VideoObjectTrackingPredictionInstanceOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The content.
+   */
+  java.lang.String getContent();
+  /**
+   *
+   *
+   * <pre>
+   * The Google Cloud Storage location of the video on which to perform the
+   * prediction.
+   * </pre>
+   *
+   * <code>string content = 1;</code>
+   *
+   * @return The bytes for content.
+   */
+  com.google.protobuf.ByteString getContentBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The mimeType.
+   */
+  java.lang.String getMimeType();
+  /**
+   *
+   *
+   * <pre>
+   * The MIME type of the content of the video. Only the following are
+   * supported: video/mp4 video/avi video/quicktime
+   * </pre>
+   *
+   * <code>string mime_type = 2;</code>
+   *
+   * @return The bytes for mimeType.
+   */
+  com.google.protobuf.ByteString getMimeTypeBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  java.lang.String getTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision.
+   * </pre>
+   *
+   * <code>string time_segment_start = 3;</code>
+   *
+   * @return The bytes for timeSegmentStart.
+   */
+  com.google.protobuf.ByteString getTimeSegmentStartBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  java.lang.String getTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment on which to perform
+   * the prediction. Expressed as a number of seconds as measured from the
+   * start of the video, with "s" appended at the end. Fractions are allowed,
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
+   * </pre>
+   *
+   * <code>string time_segment_end = 4;</code>
+   *
+   * @return The bytes for timeSegmentEnd.
+   */
+  com.google.protobuf.ByteString getTimeSegmentEndBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstanceProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstanceProto.java
new file mode 100644
index 000000000..244e9949b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/instance/VideoObjectTrackingPredictionInstanceProto.java
@@ -0,0 +1,75 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/instance/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.instance;
+
+public final class VideoObjectTrackingPredictionInstanceProto {
+  private VideoObjectTrackingPredictionInstanceProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nNgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/instance/video_object_tracking.proto"
+          + "\0222google.cloud.aiplatform.v1.schema.pred"
+          + "ict.instance\032\034google/api/annotations.pro"
+          + "to\"\201\001\n%VideoObjectTrackingPredictionInst"
+          + "ance\022\017\n\007content\030\001 \001(\t\022\021\n\tmime_type\030\002 \001(\t"
+          + "\022\032\n\022time_segment_start\030\003 \001(\t\022\030\n\020time_seg"
+          + "ment_end\030\004 \001(\tB\302\001\n6com.google.cloud.aipl"
+          + "atform.v1.schema.predict.instanceB*Video"
+          + "ObjectTrackingPredictionInstanceProtoP\001Z"
+          + "Zgoogle.golang.org/genproto/googleapis/c"
+          + "loud/aiplatform/v1/schema/predict/instan"
+          + "ce;instanceb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_instance_VideoObjectTrackingPredictionInstance_descriptor,
+            new java.lang.String[] {
+              "Content", "MimeType", "TimeSegmentStart", "TimeSegmentEnd",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParams.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParams.java
new file mode 100644
index 000000000..94e6f30e2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParams.java
@@ -0,0 +1,713 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction model parameters for Image Classification.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams}
+ */
+public final class ImageClassificationPredictionParams
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams)
+    ImageClassificationPredictionParamsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageClassificationPredictionParams.newBuilder() to construct.
+  private ImageClassificationPredictionParams(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImageClassificationPredictionParams() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImageClassificationPredictionParams();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageClassificationPredictionParams(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
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+        switch (tag) {
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+            break;
+          case 13:
+            {
+              confidenceThreshold_ = input.readFloat();
+              break;
+            }
+          case 16:
+            {
+              maxPredictions_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .ImageClassificationPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .ImageClassificationPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+                .class,
+            com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+                .Builder.class);
+  }
+
+  public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1;
+  private float confidenceThreshold_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  @java.lang.Override
+  public float getConfidenceThreshold() {
+    return confidenceThreshold_;
+  }
+
+  public static final int MAX_PREDICTIONS_FIELD_NUMBER = 2;
+  private int maxPredictions_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns up to that many top, by confidence score,
+   * predictions per instance. If this number is very high, the Model may return
+   * fewer predictions. Default value is 10.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  @java.lang.Override
+  public int getMaxPredictions() {
+    return maxPredictions_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (confidenceThreshold_ != 0F) {
+      output.writeFloat(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      output.writeInt32(2, maxPredictions_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (confidenceThreshold_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, maxPredictions_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams other =
+        (com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams)
+            obj;
+
+    if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
+        != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
+    if (getMaxPredictions() != other.getMaxPredictions()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
+    hash = (37 * hash) + MAX_PREDICTIONS_FIELD_NUMBER;
+    hash = (53 * hash) + getMaxPredictions();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction model parameters for Image Classification.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams)
+      com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParamsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .ImageClassificationPredictionParams.class,
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .ImageClassificationPredictionParams.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      confidenceThreshold_ = 0F;
+
+      maxPredictions_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.params
+                  .ImageClassificationPredictionParams(this);
+      result.confidenceThreshold_ = confidenceThreshold_;
+      result.maxPredictions_ = maxPredictions_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.params
+              .ImageClassificationPredictionParams) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .ImageClassificationPredictionParams)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.params
+              .ImageClassificationPredictionParams.getDefaultInstance()) return this;
+      if (other.getConfidenceThreshold() != 0F) {
+        setConfidenceThreshold(other.getConfidenceThreshold());
+      }
+      if (other.getMaxPredictions() != 0) {
+        setMaxPredictions(other.getMaxPredictions());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .ImageClassificationPredictionParams)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private float confidenceThreshold_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return The confidenceThreshold.
+     */
+    @java.lang.Override
+    public float getConfidenceThreshold() {
+      return confidenceThreshold_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @param value The confidenceThreshold to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceThreshold(float value) {
+
+      confidenceThreshold_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidenceThreshold() {
+
+      confidenceThreshold_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private int maxPredictions_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. If this number is very high, the Model may return
+     * fewer predictions. Default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return The maxPredictions.
+     */
+    @java.lang.Override
+    public int getMaxPredictions() {
+      return maxPredictions_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. If this number is very high, the Model may return
+     * fewer predictions. Default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @param value The maxPredictions to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxPredictions(int value) {
+
+      maxPredictions_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. If this number is very high, the Model may return
+     * fewer predictions. Default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxPredictions() {
+
+      maxPredictions_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.params
+            .ImageClassificationPredictionParams();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageClassificationPredictionParams
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImageClassificationPredictionParams> PARSER =
+      new com.google.protobuf.AbstractParser<ImageClassificationPredictionParams>() {
+        @java.lang.Override
+        public ImageClassificationPredictionParams parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageClassificationPredictionParams(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImageClassificationPredictionParams> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImageClassificationPredictionParams> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParamsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParamsOrBuilder.java
new file mode 100644
index 000000000..af64a4d20
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParamsOrBuilder.java
@@ -0,0 +1,54 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public interface ImageClassificationPredictionParamsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.params.ImageClassificationPredictionParams)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  float getConfidenceThreshold();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns up to that many top, by confidence score,
+   * predictions per instance. If this number is very high, the Model may return
+   * fewer predictions. Default value is 10.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  int getMaxPredictions();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParamsProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParamsProto.java
new file mode 100644
index 000000000..a7ed538ce
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageClassificationPredictionParamsProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public final class ImageClassificationPredictionParamsProto {
+  private ImageClassificationPredictionParamsProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nKgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/params/image_classification.proto\0220g"
+          + "oogle.cloud.aiplatform.v1.schema.predict"
+          + ".params\032\034google/api/annotations.proto\"\\\n"
+          + "#ImageClassificationPredictionParams\022\034\n\024"
+          + "confidence_threshold\030\001 \001(\002\022\027\n\017max_predic"
+          + "tions\030\002 \001(\005B\272\001\n4com.google.cloud.aiplatf"
+          + "orm.v1.schema.predict.paramsB(ImageClass"
+          + "ificationPredictionParamsProtoP\001ZVgoogle"
+          + ".golang.org/genproto/googleapis/cloud/ai"
+          + "platform/v1/schema/predict/params;params"
+          + "b\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageClassificationPredictionParams_descriptor,
+            new java.lang.String[] {
+              "ConfidenceThreshold", "MaxPredictions",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParams.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParams.java
new file mode 100644
index 000000000..38ec0465a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParams.java
@@ -0,0 +1,716 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction model parameters for Image Object Detection.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams}
+ */
+public final class ImageObjectDetectionPredictionParams
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams)
+    ImageObjectDetectionPredictionParamsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageObjectDetectionPredictionParams.newBuilder() to construct.
+  private ImageObjectDetectionPredictionParams(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImageObjectDetectionPredictionParams() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImageObjectDetectionPredictionParams();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageObjectDetectionPredictionParams(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 13:
+            {
+              confidenceThreshold_ = input.readFloat();
+              break;
+            }
+          case 16:
+            {
+              maxPredictions_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .ImageObjectDetectionPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .ImageObjectDetectionPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.params
+                .ImageObjectDetectionPredictionParams.class,
+            com.google.cloud.aiplatform.v1.schema.predict.params
+                .ImageObjectDetectionPredictionParams.Builder.class);
+  }
+
+  public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1;
+  private float confidenceThreshold_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  @java.lang.Override
+  public float getConfidenceThreshold() {
+    return confidenceThreshold_;
+  }
+
+  public static final int MAX_PREDICTIONS_FIELD_NUMBER = 2;
+  private int maxPredictions_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns up to that many top, by confidence score,
+   * predictions per instance. Note that number of returned predictions is also
+   * limited by metadata's predictionsLimit. Default value is 10.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  @java.lang.Override
+  public int getMaxPredictions() {
+    return maxPredictions_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (confidenceThreshold_ != 0F) {
+      output.writeFloat(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      output.writeInt32(2, maxPredictions_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (confidenceThreshold_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, maxPredictions_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.params
+            .ImageObjectDetectionPredictionParams)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .ImageObjectDetectionPredictionParams)
+                obj;
+
+    if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
+        != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
+    if (getMaxPredictions() != other.getMaxPredictions()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
+    hash = (37 * hash) + MAX_PREDICTIONS_FIELD_NUMBER;
+    hash = (53 * hash) + getMaxPredictions();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction model parameters for Image Object Detection.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams)
+      com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParamsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .ImageObjectDetectionPredictionParams.class,
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .ImageObjectDetectionPredictionParams.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      confidenceThreshold_ = 0F;
+
+      maxPredictions_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.params
+                  .ImageObjectDetectionPredictionParams(this);
+      result.confidenceThreshold_ = confidenceThreshold_;
+      result.maxPredictions_ = maxPredictions_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.params
+              .ImageObjectDetectionPredictionParams) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .ImageObjectDetectionPredictionParams)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.params
+              .ImageObjectDetectionPredictionParams.getDefaultInstance()) return this;
+      if (other.getConfidenceThreshold() != 0F) {
+        setConfidenceThreshold(other.getConfidenceThreshold());
+      }
+      if (other.getMaxPredictions() != 0) {
+        setMaxPredictions(other.getMaxPredictions());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .ImageObjectDetectionPredictionParams)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private float confidenceThreshold_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return The confidenceThreshold.
+     */
+    @java.lang.Override
+    public float getConfidenceThreshold() {
+      return confidenceThreshold_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @param value The confidenceThreshold to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceThreshold(float value) {
+
+      confidenceThreshold_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidenceThreshold() {
+
+      confidenceThreshold_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private int maxPredictions_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. Note that number of returned predictions is also
+     * limited by metadata's predictionsLimit. Default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return The maxPredictions.
+     */
+    @java.lang.Override
+    public int getMaxPredictions() {
+      return maxPredictions_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. Note that number of returned predictions is also
+     * limited by metadata's predictionsLimit. Default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @param value The maxPredictions to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxPredictions(int value) {
+
+      maxPredictions_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. Note that number of returned predictions is also
+     * limited by metadata's predictionsLimit. Default value is 10.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxPredictions() {
+
+      maxPredictions_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.params
+            .ImageObjectDetectionPredictionParams();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageObjectDetectionPredictionParams
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImageObjectDetectionPredictionParams> PARSER =
+      new com.google.protobuf.AbstractParser<ImageObjectDetectionPredictionParams>() {
+        @java.lang.Override
+        public ImageObjectDetectionPredictionParams parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageObjectDetectionPredictionParams(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImageObjectDetectionPredictionParams> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImageObjectDetectionPredictionParams> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParamsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParamsOrBuilder.java
new file mode 100644
index 000000000..4def70fb2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParamsOrBuilder.java
@@ -0,0 +1,54 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public interface ImageObjectDetectionPredictionParamsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.params.ImageObjectDetectionPredictionParams)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  float getConfidenceThreshold();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns up to that many top, by confidence score,
+   * predictions per instance. Note that number of returned predictions is also
+   * limited by metadata's predictionsLimit. Default value is 10.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  int getMaxPredictions();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParamsProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParamsProto.java
new file mode 100644
index 000000000..579990018
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageObjectDetectionPredictionParamsProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public final class ImageObjectDetectionPredictionParamsProto {
+  private ImageObjectDetectionPredictionParamsProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nMgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/params/image_object_detection.proto\022"
+          + "0google.cloud.aiplatform.v1.schema.predi"
+          + "ct.params\032\034google/api/annotations.proto\""
+          + "]\n$ImageObjectDetectionPredictionParams\022"
+          + "\034\n\024confidence_threshold\030\001 \001(\002\022\027\n\017max_pre"
+          + "dictions\030\002 \001(\005B\273\001\n4com.google.cloud.aipl"
+          + "atform.v1.schema.predict.paramsB)ImageOb"
+          + "jectDetectionPredictionParamsProtoP\001ZVgo"
+          + "ogle.golang.org/genproto/googleapis/clou"
+          + "d/aiplatform/v1/schema/predict/params;pa"
+          + "ramsb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageObjectDetectionPredictionParams_descriptor,
+            new java.lang.String[] {
+              "ConfidenceThreshold", "MaxPredictions",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParams.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParams.java
new file mode 100644
index 000000000..02148026a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParams.java
@@ -0,0 +1,619 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction model parameters for Image Segmentation.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams}
+ */
+public final class ImageSegmentationPredictionParams extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)
+    ImageSegmentationPredictionParamsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageSegmentationPredictionParams.newBuilder() to construct.
+  private ImageSegmentationPredictionParams(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImageSegmentationPredictionParams() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImageSegmentationPredictionParams();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageSegmentationPredictionParams(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 13:
+            {
+              confidenceThreshold_ = input.readFloat();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .ImageSegmentationPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .ImageSegmentationPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+                .class,
+            com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+                .Builder.class);
+  }
+
+  public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1;
+  private float confidenceThreshold_;
+  /**
+   *
+   *
+   * <pre>
+   * When the model predicts category of pixels of the image, it will only
+   * provide predictions for pixels that it is at least this much confident
+   * about. All other pixels will be classified as background. Default value is
+   * 0.5.
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  @java.lang.Override
+  public float getConfidenceThreshold() {
+    return confidenceThreshold_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (confidenceThreshold_ != 0F) {
+      output.writeFloat(1, confidenceThreshold_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (confidenceThreshold_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams other =
+        (com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)
+            obj;
+
+    if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
+        != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction model parameters for Image Segmentation.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)
+      com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParamsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      confidenceThreshold_ = 0F;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.params
+                  .ImageSegmentationPredictionParams(this);
+      result.confidenceThreshold_ = confidenceThreshold_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+              .getDefaultInstance()) return this;
+      if (other.getConfidenceThreshold() != 0F) {
+        setConfidenceThreshold(other.getConfidenceThreshold());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private float confidenceThreshold_;
+    /**
+     *
+     *
+     * <pre>
+     * When the model predicts category of pixels of the image, it will only
+     * provide predictions for pixels that it is at least this much confident
+     * about. All other pixels will be classified as background. Default value is
+     * 0.5.
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return The confidenceThreshold.
+     */
+    @java.lang.Override
+    public float getConfidenceThreshold() {
+      return confidenceThreshold_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * When the model predicts category of pixels of the image, it will only
+     * provide predictions for pixels that it is at least this much confident
+     * about. All other pixels will be classified as background. Default value is
+     * 0.5.
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @param value The confidenceThreshold to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceThreshold(float value) {
+
+      confidenceThreshold_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * When the model predicts category of pixels of the image, it will only
+     * provide predictions for pixels that it is at least this much confident
+     * about. All other pixels will be classified as background. Default value is
+     * 0.5.
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidenceThreshold() {
+
+      confidenceThreshold_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.params
+            .ImageSegmentationPredictionParams();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .ImageSegmentationPredictionParams
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImageSegmentationPredictionParams> PARSER =
+      new com.google.protobuf.AbstractParser<ImageSegmentationPredictionParams>() {
+        @java.lang.Override
+        public ImageSegmentationPredictionParams parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageSegmentationPredictionParams(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImageSegmentationPredictionParams> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImageSegmentationPredictionParams> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParamsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParamsOrBuilder.java
new file mode 100644
index 000000000..03c1add45
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParamsOrBuilder.java
@@ -0,0 +1,41 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public interface ImageSegmentationPredictionParamsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * When the model predicts category of pixels of the image, it will only
+   * provide predictions for pixels that it is at least this much confident
+   * about. All other pixels will be classified as background. Default value is
+   * 0.5.
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  float getConfidenceThreshold();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParamsProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParamsProto.java
new file mode 100644
index 000000000..f081ae7ef
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/ImageSegmentationPredictionParamsProto.java
@@ -0,0 +1,73 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public final class ImageSegmentationPredictionParamsProto {
+  private ImageSegmentationPredictionParamsProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nIgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/params/image_segmentation.proto\0220goo"
+          + "gle.cloud.aiplatform.v1.schema.predict.p"
+          + "arams\032\034google/api/annotations.proto\"A\n!I"
+          + "mageSegmentationPredictionParams\022\034\n\024conf"
+          + "idence_threshold\030\001 \001(\002B\270\001\n4com.google.cl"
+          + "oud.aiplatform.v1.schema.predict.paramsB"
+          + "&ImageSegmentationPredictionParamsProtoP"
+          + "\001ZVgoogle.golang.org/genproto/googleapis"
+          + "/cloud/aiplatform/v1/schema/predict/para"
+          + "ms;paramsb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_params_ImageSegmentationPredictionParams_descriptor,
+            new java.lang.String[] {
+              "ConfidenceThreshold",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParams.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParams.java
new file mode 100644
index 000000000..29c781e7a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParams.java
@@ -0,0 +1,719 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction model parameters for Video Action Recognition.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams}
+ */
+public final class VideoActionRecognitionPredictionParams
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams)
+    VideoActionRecognitionPredictionParamsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoActionRecognitionPredictionParams.newBuilder() to construct.
+  private VideoActionRecognitionPredictionParams(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoActionRecognitionPredictionParams() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoActionRecognitionPredictionParams();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoActionRecognitionPredictionParams(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 13:
+            {
+              confidenceThreshold_ = input.readFloat();
+              break;
+            }
+          case 16:
+            {
+              maxPredictions_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .VideoActionRecognitionPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .VideoActionRecognitionPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.params
+                .VideoActionRecognitionPredictionParams.class,
+            com.google.cloud.aiplatform.v1.schema.predict.params
+                .VideoActionRecognitionPredictionParams.Builder.class);
+  }
+
+  public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1;
+  private float confidenceThreshold_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  @java.lang.Override
+  public float getConfidenceThreshold() {
+    return confidenceThreshold_;
+  }
+
+  public static final int MAX_PREDICTIONS_FIELD_NUMBER = 2;
+  private int maxPredictions_;
+  /**
+   *
+   *
+   * <pre>
+   * The model only returns up to that many top, by confidence score,
+   * predictions per frame of the video. If this number is very high, the
+   * Model may return fewer predictions per frame. Default value is 50.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  @java.lang.Override
+  public int getMaxPredictions() {
+    return maxPredictions_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (confidenceThreshold_ != 0F) {
+      output.writeFloat(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      output.writeInt32(2, maxPredictions_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (confidenceThreshold_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, maxPredictions_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.params
+            .VideoActionRecognitionPredictionParams)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .VideoActionRecognitionPredictionParams)
+                obj;
+
+    if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
+        != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
+    if (getMaxPredictions() != other.getMaxPredictions()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
+    hash = (37 * hash) + MAX_PREDICTIONS_FIELD_NUMBER;
+    hash = (53 * hash) + getMaxPredictions();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction model parameters for Video Action Recognition.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams)
+      com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParamsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoActionRecognitionPredictionParams.class,
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoActionRecognitionPredictionParams.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      confidenceThreshold_ = 0F;
+
+      maxPredictions_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params
+            .VideoActionRecognitionPredictionParams
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params
+            .VideoActionRecognitionPredictionParams
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params
+            .VideoActionRecognitionPredictionParams
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoActionRecognitionPredictionParams(this);
+      result.confidenceThreshold_ = confidenceThreshold_;
+      result.maxPredictions_ = maxPredictions_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.params
+              .VideoActionRecognitionPredictionParams) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .VideoActionRecognitionPredictionParams)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.params
+              .VideoActionRecognitionPredictionParams.getDefaultInstance()) return this;
+      if (other.getConfidenceThreshold() != 0F) {
+        setConfidenceThreshold(other.getConfidenceThreshold());
+      }
+      if (other.getMaxPredictions() != 0) {
+        setMaxPredictions(other.getMaxPredictions());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .VideoActionRecognitionPredictionParams)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private float confidenceThreshold_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return The confidenceThreshold.
+     */
+    @java.lang.Override
+    public float getConfidenceThreshold() {
+      return confidenceThreshold_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @param value The confidenceThreshold to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceThreshold(float value) {
+
+      confidenceThreshold_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidenceThreshold() {
+
+      confidenceThreshold_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private int maxPredictions_;
+    /**
+     *
+     *
+     * <pre>
+     * The model only returns up to that many top, by confidence score,
+     * predictions per frame of the video. If this number is very high, the
+     * Model may return fewer predictions per frame. Default value is 50.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return The maxPredictions.
+     */
+    @java.lang.Override
+    public int getMaxPredictions() {
+      return maxPredictions_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model only returns up to that many top, by confidence score,
+     * predictions per frame of the video. If this number is very high, the
+     * Model may return fewer predictions per frame. Default value is 50.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @param value The maxPredictions to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxPredictions(int value) {
+
+      maxPredictions_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model only returns up to that many top, by confidence score,
+     * predictions per frame of the video. If this number is very high, the
+     * Model may return fewer predictions per frame. Default value is 50.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxPredictions() {
+
+      maxPredictions_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.params
+            .VideoActionRecognitionPredictionParams();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoActionRecognitionPredictionParams
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoActionRecognitionPredictionParams> PARSER =
+      new com.google.protobuf.AbstractParser<VideoActionRecognitionPredictionParams>() {
+        @java.lang.Override
+        public VideoActionRecognitionPredictionParams parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoActionRecognitionPredictionParams(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoActionRecognitionPredictionParams> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoActionRecognitionPredictionParams> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParamsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParamsOrBuilder.java
new file mode 100644
index 000000000..7a4fc1296
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParamsOrBuilder.java
@@ -0,0 +1,54 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public interface VideoActionRecognitionPredictionParamsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.params.VideoActionRecognitionPredictionParams)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  float getConfidenceThreshold();
+
+  /**
+   *
+   *
+   * <pre>
+   * The model only returns up to that many top, by confidence score,
+   * predictions per frame of the video. If this number is very high, the
+   * Model may return fewer predictions per frame. Default value is 50.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  int getMaxPredictions();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParamsProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParamsProto.java
new file mode 100644
index 000000000..f686e3552
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoActionRecognitionPredictionParamsProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public final class VideoActionRecognitionPredictionParamsProto {
+  private VideoActionRecognitionPredictionParamsProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nOgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/params/video_action_recognition.prot"
+          + "o\0220google.cloud.aiplatform.v1.schema.pre"
+          + "dict.params\032\034google/api/annotations.prot"
+          + "o\"_\n&VideoActionRecognitionPredictionPar"
+          + "ams\022\034\n\024confidence_threshold\030\001 \001(\002\022\027\n\017max"
+          + "_predictions\030\002 \001(\005B\275\001\n4com.google.cloud."
+          + "aiplatform.v1.schema.predict.paramsB+Vid"
+          + "eoActionRecognitionPredictionParamsProto"
+          + "P\001ZVgoogle.golang.org/genproto/googleapi"
+          + "s/cloud/aiplatform/v1/schema/predict/par"
+          + "ams;paramsb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoActionRecognitionPredictionParams_descriptor,
+            new java.lang.String[] {
+              "ConfidenceThreshold", "MaxPredictions",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParams.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParams.java
new file mode 100644
index 000000000..e1ab87ba2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParams.java
@@ -0,0 +1,1049 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction model parameters for Video Classification.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams}
+ */
+public final class VideoClassificationPredictionParams
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams)
+    VideoClassificationPredictionParamsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoClassificationPredictionParams.newBuilder() to construct.
+  private VideoClassificationPredictionParams(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoClassificationPredictionParams() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoClassificationPredictionParams();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoClassificationPredictionParams(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 13:
+            {
+              confidenceThreshold_ = input.readFloat();
+              break;
+            }
+          case 16:
+            {
+              maxPredictions_ = input.readInt32();
+              break;
+            }
+          case 24:
+            {
+              segmentClassification_ = input.readBool();
+              break;
+            }
+          case 32:
+            {
+              shotClassification_ = input.readBool();
+              break;
+            }
+          case 40:
+            {
+              oneSecIntervalClassification_ = input.readBool();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .VideoClassificationPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .VideoClassificationPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+                .class,
+            com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+                .Builder.class);
+  }
+
+  public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1;
+  private float confidenceThreshold_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  @java.lang.Override
+  public float getConfidenceThreshold() {
+    return confidenceThreshold_;
+  }
+
+  public static final int MAX_PREDICTIONS_FIELD_NUMBER = 2;
+  private int maxPredictions_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns up to that many top, by confidence score,
+   * predictions per instance. If this number is very high, the Model may return
+   * fewer predictions. Default value is 10,000.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  @java.lang.Override
+  public int getMaxPredictions() {
+    return maxPredictions_;
+  }
+
+  public static final int SEGMENT_CLASSIFICATION_FIELD_NUMBER = 3;
+  private boolean segmentClassification_;
+  /**
+   *
+   *
+   * <pre>
+   * Set to true to request segment-level classification. AI Platform returns
+   * labels and their confidence scores for the entire time segment of the
+   * video that user specified in the input instance.
+   * Default value is true
+   * </pre>
+   *
+   * <code>bool segment_classification = 3;</code>
+   *
+   * @return The segmentClassification.
+   */
+  @java.lang.Override
+  public boolean getSegmentClassification() {
+    return segmentClassification_;
+  }
+
+  public static final int SHOT_CLASSIFICATION_FIELD_NUMBER = 4;
+  private boolean shotClassification_;
+  /**
+   *
+   *
+   * <pre>
+   * Set to true to request shot-level classification. AI Platform determines
+   * the boundaries for each camera shot in the entire time segment of the
+   * video that user specified in the input instance. AI Platform then
+   * returns labels and their confidence scores for each detected shot, along
+   * with the start and end time of the shot.
+   * WARNING: Model evaluation is not done for this classification type,
+   * the quality of it depends on the training data, but there are no metrics
+   * provided to describe that quality.
+   * Default value is false
+   * </pre>
+   *
+   * <code>bool shot_classification = 4;</code>
+   *
+   * @return The shotClassification.
+   */
+  @java.lang.Override
+  public boolean getShotClassification() {
+    return shotClassification_;
+  }
+
+  public static final int ONE_SEC_INTERVAL_CLASSIFICATION_FIELD_NUMBER = 5;
+  private boolean oneSecIntervalClassification_;
+  /**
+   *
+   *
+   * <pre>
+   * Set to true to request classification for a video at one-second intervals.
+   * AI Platform returns labels and their confidence scores for each second of
+   * the entire time segment of the video that user specified in the input
+   * WARNING: Model evaluation is not done for this classification type, the
+   * quality of it depends on the training data, but there are no metrics
+   * provided to describe that quality. Default value is false
+   * </pre>
+   *
+   * <code>bool one_sec_interval_classification = 5;</code>
+   *
+   * @return The oneSecIntervalClassification.
+   */
+  @java.lang.Override
+  public boolean getOneSecIntervalClassification() {
+    return oneSecIntervalClassification_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (confidenceThreshold_ != 0F) {
+      output.writeFloat(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      output.writeInt32(2, maxPredictions_);
+    }
+    if (segmentClassification_ != false) {
+      output.writeBool(3, segmentClassification_);
+    }
+    if (shotClassification_ != false) {
+      output.writeBool(4, shotClassification_);
+    }
+    if (oneSecIntervalClassification_ != false) {
+      output.writeBool(5, oneSecIntervalClassification_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (confidenceThreshold_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, maxPredictions_);
+    }
+    if (segmentClassification_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(3, segmentClassification_);
+    }
+    if (shotClassification_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(4, shotClassification_);
+    }
+    if (oneSecIntervalClassification_ != false) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeBoolSize(5, oneSecIntervalClassification_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams other =
+        (com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams)
+            obj;
+
+    if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
+        != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
+    if (getMaxPredictions() != other.getMaxPredictions()) return false;
+    if (getSegmentClassification() != other.getSegmentClassification()) return false;
+    if (getShotClassification() != other.getShotClassification()) return false;
+    if (getOneSecIntervalClassification() != other.getOneSecIntervalClassification()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
+    hash = (37 * hash) + MAX_PREDICTIONS_FIELD_NUMBER;
+    hash = (53 * hash) + getMaxPredictions();
+    hash = (37 * hash) + SEGMENT_CLASSIFICATION_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getSegmentClassification());
+    hash = (37 * hash) + SHOT_CLASSIFICATION_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getShotClassification());
+    hash = (37 * hash) + ONE_SEC_INTERVAL_CLASSIFICATION_FIELD_NUMBER;
+    hash =
+        (53 * hash) + com.google.protobuf.Internal.hashBoolean(getOneSecIntervalClassification());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction model parameters for Video Classification.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams)
+      com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParamsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoClassificationPredictionParams.class,
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoClassificationPredictionParams.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      confidenceThreshold_ = 0F;
+
+      maxPredictions_ = 0;
+
+      segmentClassification_ = false;
+
+      shotClassification_ = false;
+
+      oneSecIntervalClassification_ = false;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoClassificationPredictionParams(this);
+      result.confidenceThreshold_ = confidenceThreshold_;
+      result.maxPredictions_ = maxPredictions_;
+      result.segmentClassification_ = segmentClassification_;
+      result.shotClassification_ = shotClassification_;
+      result.oneSecIntervalClassification_ = oneSecIntervalClassification_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.params
+              .VideoClassificationPredictionParams) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .VideoClassificationPredictionParams)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.params
+              .VideoClassificationPredictionParams.getDefaultInstance()) return this;
+      if (other.getConfidenceThreshold() != 0F) {
+        setConfidenceThreshold(other.getConfidenceThreshold());
+      }
+      if (other.getMaxPredictions() != 0) {
+        setMaxPredictions(other.getMaxPredictions());
+      }
+      if (other.getSegmentClassification() != false) {
+        setSegmentClassification(other.getSegmentClassification());
+      }
+      if (other.getShotClassification() != false) {
+        setShotClassification(other.getShotClassification());
+      }
+      if (other.getOneSecIntervalClassification() != false) {
+        setOneSecIntervalClassification(other.getOneSecIntervalClassification());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .VideoClassificationPredictionParams)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private float confidenceThreshold_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return The confidenceThreshold.
+     */
+    @java.lang.Override
+    public float getConfidenceThreshold() {
+      return confidenceThreshold_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @param value The confidenceThreshold to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceThreshold(float value) {
+
+      confidenceThreshold_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidenceThreshold() {
+
+      confidenceThreshold_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private int maxPredictions_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. If this number is very high, the Model may return
+     * fewer predictions. Default value is 10,000.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return The maxPredictions.
+     */
+    @java.lang.Override
+    public int getMaxPredictions() {
+      return maxPredictions_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. If this number is very high, the Model may return
+     * fewer predictions. Default value is 10,000.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @param value The maxPredictions to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxPredictions(int value) {
+
+      maxPredictions_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns up to that many top, by confidence score,
+     * predictions per instance. If this number is very high, the Model may return
+     * fewer predictions. Default value is 10,000.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxPredictions() {
+
+      maxPredictions_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private boolean segmentClassification_;
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request segment-level classification. AI Platform returns
+     * labels and their confidence scores for the entire time segment of the
+     * video that user specified in the input instance.
+     * Default value is true
+     * </pre>
+     *
+     * <code>bool segment_classification = 3;</code>
+     *
+     * @return The segmentClassification.
+     */
+    @java.lang.Override
+    public boolean getSegmentClassification() {
+      return segmentClassification_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request segment-level classification. AI Platform returns
+     * labels and their confidence scores for the entire time segment of the
+     * video that user specified in the input instance.
+     * Default value is true
+     * </pre>
+     *
+     * <code>bool segment_classification = 3;</code>
+     *
+     * @param value The segmentClassification to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSegmentClassification(boolean value) {
+
+      segmentClassification_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request segment-level classification. AI Platform returns
+     * labels and their confidence scores for the entire time segment of the
+     * video that user specified in the input instance.
+     * Default value is true
+     * </pre>
+     *
+     * <code>bool segment_classification = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSegmentClassification() {
+
+      segmentClassification_ = false;
+      onChanged();
+      return this;
+    }
+
+    private boolean shotClassification_;
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request shot-level classification. AI Platform determines
+     * the boundaries for each camera shot in the entire time segment of the
+     * video that user specified in the input instance. AI Platform then
+     * returns labels and their confidence scores for each detected shot, along
+     * with the start and end time of the shot.
+     * WARNING: Model evaluation is not done for this classification type,
+     * the quality of it depends on the training data, but there are no metrics
+     * provided to describe that quality.
+     * Default value is false
+     * </pre>
+     *
+     * <code>bool shot_classification = 4;</code>
+     *
+     * @return The shotClassification.
+     */
+    @java.lang.Override
+    public boolean getShotClassification() {
+      return shotClassification_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request shot-level classification. AI Platform determines
+     * the boundaries for each camera shot in the entire time segment of the
+     * video that user specified in the input instance. AI Platform then
+     * returns labels and their confidence scores for each detected shot, along
+     * with the start and end time of the shot.
+     * WARNING: Model evaluation is not done for this classification type,
+     * the quality of it depends on the training data, but there are no metrics
+     * provided to describe that quality.
+     * Default value is false
+     * </pre>
+     *
+     * <code>bool shot_classification = 4;</code>
+     *
+     * @param value The shotClassification to set.
+     * @return This builder for chaining.
+     */
+    public Builder setShotClassification(boolean value) {
+
+      shotClassification_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request shot-level classification. AI Platform determines
+     * the boundaries for each camera shot in the entire time segment of the
+     * video that user specified in the input instance. AI Platform then
+     * returns labels and their confidence scores for each detected shot, along
+     * with the start and end time of the shot.
+     * WARNING: Model evaluation is not done for this classification type,
+     * the quality of it depends on the training data, but there are no metrics
+     * provided to describe that quality.
+     * Default value is false
+     * </pre>
+     *
+     * <code>bool shot_classification = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearShotClassification() {
+
+      shotClassification_ = false;
+      onChanged();
+      return this;
+    }
+
+    private boolean oneSecIntervalClassification_;
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request classification for a video at one-second intervals.
+     * AI Platform returns labels and their confidence scores for each second of
+     * the entire time segment of the video that user specified in the input
+     * WARNING: Model evaluation is not done for this classification type, the
+     * quality of it depends on the training data, but there are no metrics
+     * provided to describe that quality. Default value is false
+     * </pre>
+     *
+     * <code>bool one_sec_interval_classification = 5;</code>
+     *
+     * @return The oneSecIntervalClassification.
+     */
+    @java.lang.Override
+    public boolean getOneSecIntervalClassification() {
+      return oneSecIntervalClassification_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request classification for a video at one-second intervals.
+     * AI Platform returns labels and their confidence scores for each second of
+     * the entire time segment of the video that user specified in the input
+     * WARNING: Model evaluation is not done for this classification type, the
+     * quality of it depends on the training data, but there are no metrics
+     * provided to describe that quality. Default value is false
+     * </pre>
+     *
+     * <code>bool one_sec_interval_classification = 5;</code>
+     *
+     * @param value The oneSecIntervalClassification to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOneSecIntervalClassification(boolean value) {
+
+      oneSecIntervalClassification_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Set to true to request classification for a video at one-second intervals.
+     * AI Platform returns labels and their confidence scores for each second of
+     * the entire time segment of the video that user specified in the input
+     * WARNING: Model evaluation is not done for this classification type, the
+     * quality of it depends on the training data, but there are no metrics
+     * provided to describe that quality. Default value is false
+     * </pre>
+     *
+     * <code>bool one_sec_interval_classification = 5;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOneSecIntervalClassification() {
+
+      oneSecIntervalClassification_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.params
+            .VideoClassificationPredictionParams();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoClassificationPredictionParams
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoClassificationPredictionParams> PARSER =
+      new com.google.protobuf.AbstractParser<VideoClassificationPredictionParams>() {
+        @java.lang.Override
+        public VideoClassificationPredictionParams parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoClassificationPredictionParams(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoClassificationPredictionParams> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoClassificationPredictionParams> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParamsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParamsOrBuilder.java
new file mode 100644
index 000000000..c2b27e58f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParamsOrBuilder.java
@@ -0,0 +1,109 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public interface VideoClassificationPredictionParamsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  float getConfidenceThreshold();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns up to that many top, by confidence score,
+   * predictions per instance. If this number is very high, the Model may return
+   * fewer predictions. Default value is 10,000.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  int getMaxPredictions();
+
+  /**
+   *
+   *
+   * <pre>
+   * Set to true to request segment-level classification. AI Platform returns
+   * labels and their confidence scores for the entire time segment of the
+   * video that user specified in the input instance.
+   * Default value is true
+   * </pre>
+   *
+   * <code>bool segment_classification = 3;</code>
+   *
+   * @return The segmentClassification.
+   */
+  boolean getSegmentClassification();
+
+  /**
+   *
+   *
+   * <pre>
+   * Set to true to request shot-level classification. AI Platform determines
+   * the boundaries for each camera shot in the entire time segment of the
+   * video that user specified in the input instance. AI Platform then
+   * returns labels and their confidence scores for each detected shot, along
+   * with the start and end time of the shot.
+   * WARNING: Model evaluation is not done for this classification type,
+   * the quality of it depends on the training data, but there are no metrics
+   * provided to describe that quality.
+   * Default value is false
+   * </pre>
+   *
+   * <code>bool shot_classification = 4;</code>
+   *
+   * @return The shotClassification.
+   */
+  boolean getShotClassification();
+
+  /**
+   *
+   *
+   * <pre>
+   * Set to true to request classification for a video at one-second intervals.
+   * AI Platform returns labels and their confidence scores for each second of
+   * the entire time segment of the video that user specified in the input
+   * WARNING: Model evaluation is not done for this classification type, the
+   * quality of it depends on the training data, but there are no metrics
+   * provided to describe that quality. Default value is false
+   * </pre>
+   *
+   * <code>bool one_sec_interval_classification = 5;</code>
+   *
+   * @return The oneSecIntervalClassification.
+   */
+  boolean getOneSecIntervalClassification();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParamsProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParamsProto.java
new file mode 100644
index 000000000..486ea761e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoClassificationPredictionParamsProto.java
@@ -0,0 +1,80 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public final class VideoClassificationPredictionParamsProto {
+  private VideoClassificationPredictionParamsProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nKgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/params/video_classification.proto\0220g"
+          + "oogle.cloud.aiplatform.v1.schema.predict"
+          + ".params\032\034google/api/annotations.proto\"\302\001"
+          + "\n#VideoClassificationPredictionParams\022\034\n"
+          + "\024confidence_threshold\030\001 \001(\002\022\027\n\017max_predi"
+          + "ctions\030\002 \001(\005\022\036\n\026segment_classification\030\003"
+          + " \001(\010\022\033\n\023shot_classification\030\004 \001(\010\022\'\n\037one"
+          + "_sec_interval_classification\030\005 \001(\010B\272\001\n4c"
+          + "om.google.cloud.aiplatform.v1.schema.pre"
+          + "dict.paramsB(VideoClassificationPredicti"
+          + "onParamsProtoP\001ZVgoogle.golang.org/genpr"
+          + "oto/googleapis/cloud/aiplatform/v1/schem"
+          + "a/predict/params;paramsb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoClassificationPredictionParams_descriptor,
+            new java.lang.String[] {
+              "ConfidenceThreshold",
+              "MaxPredictions",
+              "SegmentClassification",
+              "ShotClassification",
+              "OneSecIntervalClassification",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParams.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParams.java
new file mode 100644
index 000000000..52e35ae1a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParams.java
@@ -0,0 +1,808 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction model parameters for Video Object Tracking.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams}
+ */
+public final class VideoObjectTrackingPredictionParams
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams)
+    VideoObjectTrackingPredictionParamsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoObjectTrackingPredictionParams.newBuilder() to construct.
+  private VideoObjectTrackingPredictionParams(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoObjectTrackingPredictionParams() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoObjectTrackingPredictionParams();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoObjectTrackingPredictionParams(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 13:
+            {
+              confidenceThreshold_ = input.readFloat();
+              break;
+            }
+          case 16:
+            {
+              maxPredictions_ = input.readInt32();
+              break;
+            }
+          case 29:
+            {
+              minBoundingBoxSize_ = input.readFloat();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .VideoObjectTrackingPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.params
+        .VideoObjectTrackingPredictionParamsProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+                .class,
+            com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+                .Builder.class);
+  }
+
+  public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1;
+  private float confidenceThreshold_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  @java.lang.Override
+  public float getConfidenceThreshold() {
+    return confidenceThreshold_;
+  }
+
+  public static final int MAX_PREDICTIONS_FIELD_NUMBER = 2;
+  private int maxPredictions_;
+  /**
+   *
+   *
+   * <pre>
+   * The model only returns up to that many top, by confidence score,
+   * predictions per frame of the video. If this number is very high, the
+   * Model may return fewer predictions per frame. Default value is 50.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  @java.lang.Override
+  public int getMaxPredictions() {
+    return maxPredictions_;
+  }
+
+  public static final int MIN_BOUNDING_BOX_SIZE_FIELD_NUMBER = 3;
+  private float minBoundingBoxSize_;
+  /**
+   *
+   *
+   * <pre>
+   * Only bounding boxes with shortest edge at least that long as a relative
+   * value of video frame size are returned. Default value is 0.0.
+   * </pre>
+   *
+   * <code>float min_bounding_box_size = 3;</code>
+   *
+   * @return The minBoundingBoxSize.
+   */
+  @java.lang.Override
+  public float getMinBoundingBoxSize() {
+    return minBoundingBoxSize_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (confidenceThreshold_ != 0F) {
+      output.writeFloat(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      output.writeInt32(2, maxPredictions_);
+    }
+    if (minBoundingBoxSize_ != 0F) {
+      output.writeFloat(3, minBoundingBoxSize_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (confidenceThreshold_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_);
+    }
+    if (maxPredictions_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, maxPredictions_);
+    }
+    if (minBoundingBoxSize_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, minBoundingBoxSize_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams other =
+        (com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams)
+            obj;
+
+    if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
+        != java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
+    if (getMaxPredictions() != other.getMaxPredictions()) return false;
+    if (java.lang.Float.floatToIntBits(getMinBoundingBoxSize())
+        != java.lang.Float.floatToIntBits(other.getMinBoundingBoxSize())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
+    hash = (37 * hash) + MAX_PREDICTIONS_FIELD_NUMBER;
+    hash = (53 * hash) + getMaxPredictions();
+    hash = (37 * hash) + MIN_BOUNDING_BOX_SIZE_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getMinBoundingBoxSize());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction model parameters for Video Object Tracking.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams)
+      com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParamsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoObjectTrackingPredictionParams.class,
+              com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoObjectTrackingPredictionParams.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      confidenceThreshold_ = 0F;
+
+      maxPredictions_ = 0;
+
+      minBoundingBoxSize_ = 0F;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParamsProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.params
+                  .VideoObjectTrackingPredictionParams(this);
+      result.confidenceThreshold_ = confidenceThreshold_;
+      result.maxPredictions_ = maxPredictions_;
+      result.minBoundingBoxSize_ = minBoundingBoxSize_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.params
+              .VideoObjectTrackingPredictionParams) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .VideoObjectTrackingPredictionParams)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.params
+              .VideoObjectTrackingPredictionParams.getDefaultInstance()) return this;
+      if (other.getConfidenceThreshold() != 0F) {
+        setConfidenceThreshold(other.getConfidenceThreshold());
+      }
+      if (other.getMaxPredictions() != 0) {
+        setMaxPredictions(other.getMaxPredictions());
+      }
+      if (other.getMinBoundingBoxSize() != 0F) {
+        setMinBoundingBoxSize(other.getMinBoundingBoxSize());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.params
+                    .VideoObjectTrackingPredictionParams)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private float confidenceThreshold_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return The confidenceThreshold.
+     */
+    @java.lang.Override
+    public float getConfidenceThreshold() {
+      return confidenceThreshold_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @param value The confidenceThreshold to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceThreshold(float value) {
+
+      confidenceThreshold_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model only returns predictions with at least this confidence score.
+     * Default value is 0.0
+     * </pre>
+     *
+     * <code>float confidence_threshold = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidenceThreshold() {
+
+      confidenceThreshold_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private int maxPredictions_;
+    /**
+     *
+     *
+     * <pre>
+     * The model only returns up to that many top, by confidence score,
+     * predictions per frame of the video. If this number is very high, the
+     * Model may return fewer predictions per frame. Default value is 50.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return The maxPredictions.
+     */
+    @java.lang.Override
+    public int getMaxPredictions() {
+      return maxPredictions_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model only returns up to that many top, by confidence score,
+     * predictions per frame of the video. If this number is very high, the
+     * Model may return fewer predictions per frame. Default value is 50.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @param value The maxPredictions to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMaxPredictions(int value) {
+
+      maxPredictions_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model only returns up to that many top, by confidence score,
+     * predictions per frame of the video. If this number is very high, the
+     * Model may return fewer predictions per frame. Default value is 50.
+     * </pre>
+     *
+     * <code>int32 max_predictions = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMaxPredictions() {
+
+      maxPredictions_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private float minBoundingBoxSize_;
+    /**
+     *
+     *
+     * <pre>
+     * Only bounding boxes with shortest edge at least that long as a relative
+     * value of video frame size are returned. Default value is 0.0.
+     * </pre>
+     *
+     * <code>float min_bounding_box_size = 3;</code>
+     *
+     * @return The minBoundingBoxSize.
+     */
+    @java.lang.Override
+    public float getMinBoundingBoxSize() {
+      return minBoundingBoxSize_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only bounding boxes with shortest edge at least that long as a relative
+     * value of video frame size are returned. Default value is 0.0.
+     * </pre>
+     *
+     * <code>float min_bounding_box_size = 3;</code>
+     *
+     * @param value The minBoundingBoxSize to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMinBoundingBoxSize(float value) {
+
+      minBoundingBoxSize_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Only bounding boxes with shortest edge at least that long as a relative
+     * value of video frame size are returned. Default value is 0.0.
+     * </pre>
+     *
+     * <code>float min_bounding_box_size = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMinBoundingBoxSize() {
+
+      minBoundingBoxSize_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.params
+            .VideoObjectTrackingPredictionParams();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.params
+          .VideoObjectTrackingPredictionParams
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoObjectTrackingPredictionParams> PARSER =
+      new com.google.protobuf.AbstractParser<VideoObjectTrackingPredictionParams>() {
+        @java.lang.Override
+        public VideoObjectTrackingPredictionParams parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoObjectTrackingPredictionParams(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoObjectTrackingPredictionParams> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoObjectTrackingPredictionParams> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParamsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParamsOrBuilder.java
new file mode 100644
index 000000000..f58998b36
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParamsOrBuilder.java
@@ -0,0 +1,68 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public interface VideoObjectTrackingPredictionParamsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model only returns predictions with at least this confidence score.
+   * Default value is 0.0
+   * </pre>
+   *
+   * <code>float confidence_threshold = 1;</code>
+   *
+   * @return The confidenceThreshold.
+   */
+  float getConfidenceThreshold();
+
+  /**
+   *
+   *
+   * <pre>
+   * The model only returns up to that many top, by confidence score,
+   * predictions per frame of the video. If this number is very high, the
+   * Model may return fewer predictions per frame. Default value is 50.
+   * </pre>
+   *
+   * <code>int32 max_predictions = 2;</code>
+   *
+   * @return The maxPredictions.
+   */
+  int getMaxPredictions();
+
+  /**
+   *
+   *
+   * <pre>
+   * Only bounding boxes with shortest edge at least that long as a relative
+   * value of video frame size are returned. Default value is 0.0.
+   * </pre>
+   *
+   * <code>float min_bounding_box_size = 3;</code>
+   *
+   * @return The minBoundingBoxSize.
+   */
+  float getMinBoundingBoxSize();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParamsProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParamsProto.java
new file mode 100644
index 000000000..11b7fd7d4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/params/VideoObjectTrackingPredictionParamsProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.params;
+
+public final class VideoObjectTrackingPredictionParamsProto {
+  private VideoObjectTrackingPredictionParamsProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nLgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/params/video_object_tracking.proto\0220"
+          + "google.cloud.aiplatform.v1.schema.predic"
+          + "t.params\032\034google/api/annotations.proto\"{"
+          + "\n#VideoObjectTrackingPredictionParams\022\034\n"
+          + "\024confidence_threshold\030\001 \001(\002\022\027\n\017max_predi"
+          + "ctions\030\002 \001(\005\022\035\n\025min_bounding_box_size\030\003 "
+          + "\001(\002B\272\001\n4com.google.cloud.aiplatform.v1.s"
+          + "chema.predict.paramsB(VideoObjectTrackin"
+          + "gPredictionParamsProtoP\001ZVgoogle.golang."
+          + "org/genproto/googleapis/cloud/aiplatform"
+          + "/v1/schema/predict/params;paramsb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_params_VideoObjectTrackingPredictionParams_descriptor,
+            new java.lang.String[] {
+              "ConfidenceThreshold", "MaxPredictions", "MinBoundingBoxSize",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResult.java
new file mode 100644
index 000000000..d34f39d3f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResult.java
@@ -0,0 +1,1315 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Image and Text Classification.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult}
+ */
+public final class ClassificationPredictionResult extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult)
+    ClassificationPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ClassificationPredictionResult.newBuilder() to construct.
+  private ClassificationPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ClassificationPredictionResult() {
+    ids_ = emptyLongList();
+    displayNames_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    confidences_ = emptyFloatList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ClassificationPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ClassificationPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                ids_ = newLongList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              ids_.addLong(input.readInt64());
+              break;
+            }
+          case 10:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000001) != 0) && input.getBytesUntilLimit() > 0) {
+                ids_ = newLongList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                ids_.addLong(input.readInt64());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                displayNames_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              displayNames_.add(s);
+              break;
+            }
+          case 29:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                confidences_ = newFloatList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              confidences_.addFloat(input.readFloat());
+              break;
+            }
+          case 26:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000004) != 0) && input.getBytesUntilLimit() > 0) {
+                confidences_ = newFloatList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                confidences_.addFloat(input.readFloat());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        ids_.makeImmutable(); // C
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        displayNames_ = displayNames_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        confidences_.makeImmutable(); // C
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .ClassificationPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .ClassificationPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+                .class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+                .Builder.class);
+  }
+
+  public static final int IDS_FIELD_NUMBER = 1;
+  private com.google.protobuf.Internal.LongList ids_;
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return A list containing the ids.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Long> getIdsList() {
+    return ids_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return The count of ids.
+   */
+  public int getIdsCount() {
+    return ids_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The ids at the given index.
+   */
+  public long getIds(int index) {
+    return ids_.getLong(index);
+  }
+
+  private int idsMemoizedSerializedSize = -1;
+
+  public static final int DISPLAY_NAMES_FIELD_NUMBER = 2;
+  private com.google.protobuf.LazyStringList displayNames_;
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return A list containing the displayNames.
+   */
+  public com.google.protobuf.ProtocolStringList getDisplayNamesList() {
+    return displayNames_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return The count of displayNames.
+   */
+  public int getDisplayNamesCount() {
+    return displayNames_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The displayNames at the given index.
+   */
+  public java.lang.String getDisplayNames(int index) {
+    return displayNames_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the displayNames at the given index.
+   */
+  public com.google.protobuf.ByteString getDisplayNamesBytes(int index) {
+    return displayNames_.getByteString(index);
+  }
+
+  public static final int CONFIDENCES_FIELD_NUMBER = 3;
+  private com.google.protobuf.Internal.FloatList confidences_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @return A list containing the confidences.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Float> getConfidencesList() {
+    return confidences_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @return The count of confidences.
+   */
+  public int getConfidencesCount() {
+    return confidences_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The confidences at the given index.
+   */
+  public float getConfidences(int index) {
+    return confidences_.getFloat(index);
+  }
+
+  private int confidencesMemoizedSerializedSize = -1;
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    getSerializedSize();
+    if (getIdsList().size() > 0) {
+      output.writeUInt32NoTag(10);
+      output.writeUInt32NoTag(idsMemoizedSerializedSize);
+    }
+    for (int i = 0; i < ids_.size(); i++) {
+      output.writeInt64NoTag(ids_.getLong(i));
+    }
+    for (int i = 0; i < displayNames_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayNames_.getRaw(i));
+    }
+    if (getConfidencesList().size() > 0) {
+      output.writeUInt32NoTag(26);
+      output.writeUInt32NoTag(confidencesMemoizedSerializedSize);
+    }
+    for (int i = 0; i < confidences_.size(); i++) {
+      output.writeFloatNoTag(confidences_.getFloat(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    {
+      int dataSize = 0;
+      for (int i = 0; i < ids_.size(); i++) {
+        dataSize += com.google.protobuf.CodedOutputStream.computeInt64SizeNoTag(ids_.getLong(i));
+      }
+      size += dataSize;
+      if (!getIdsList().isEmpty()) {
+        size += 1;
+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      idsMemoizedSerializedSize = dataSize;
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < displayNames_.size(); i++) {
+        dataSize += computeStringSizeNoTag(displayNames_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getDisplayNamesList().size();
+    }
+    {
+      int dataSize = 0;
+      dataSize = 4 * getConfidencesList().size();
+      size += dataSize;
+      if (!getConfidencesList().isEmpty()) {
+        size += 1;
+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      confidencesMemoizedSerializedSize = dataSize;
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult other =
+        (com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult)
+            obj;
+
+    if (!getIdsList().equals(other.getIdsList())) return false;
+    if (!getDisplayNamesList().equals(other.getDisplayNamesList())) return false;
+    if (!getConfidencesList().equals(other.getConfidencesList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getIdsCount() > 0) {
+      hash = (37 * hash) + IDS_FIELD_NUMBER;
+      hash = (53 * hash) + getIdsList().hashCode();
+    }
+    if (getDisplayNamesCount() > 0) {
+      hash = (37 * hash) + DISPLAY_NAMES_FIELD_NUMBER;
+      hash = (53 * hash) + getDisplayNamesList().hashCode();
+    }
+    if (getConfidencesCount() > 0) {
+      hash = (37 * hash) + CONFIDENCES_FIELD_NUMBER;
+      hash = (53 * hash) + getConfidencesList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction output format for Image and Text Classification.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult)
+      com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResultOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
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+          .ensureFieldAccessorsInitialized(
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+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .ClassificationPredictionResult.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
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+      bitField0_ = (bitField0_ & ~0x00000001);
+      displayNames_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
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+      bitField0_ = (bitField0_ & ~0x00000004);
+      return this;
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+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
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+      result.confidences_ = confidences_;
+      onBuilt();
+      return result;
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+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
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+
+    @java.lang.Override
+    public Builder setField(
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+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .ClassificationPredictionResult)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+              .getDefaultInstance()) return this;
+      if (!other.ids_.isEmpty()) {
+        if (ids_.isEmpty()) {
+          ids_ = other.ids_;
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          ensureIdsIsMutable();
+          ids_.addAll(other.ids_);
+        }
+        onChanged();
+      }
+      if (!other.displayNames_.isEmpty()) {
+        if (displayNames_.isEmpty()) {
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+          bitField0_ = (bitField0_ & ~0x00000002);
+        } else {
+          ensureDisplayNamesIsMutable();
+          displayNames_.addAll(other.displayNames_);
+        }
+        onChanged();
+      }
+      if (!other.confidences_.isEmpty()) {
+        if (confidences_.isEmpty()) {
+          confidences_ = other.confidences_;
+          bitField0_ = (bitField0_ & ~0x00000004);
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+          confidences_.addAll(other.confidences_);
+        }
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .ClassificationPredictionResult)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.Internal.LongList ids_ = emptyLongList();
+
+    private void ensureIdsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        ids_ = mutableCopy(ids_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified, ordered
+     * by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @return A list containing the ids.
+     */
+    public java.util.List<java.lang.Long> getIdsList() {
+      return ((bitField0_ & 0x00000001) != 0) ? java.util.Collections.unmodifiableList(ids_) : ids_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified, ordered
+     * by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @return The count of ids.
+     */
+    public int getIdsCount() {
+      return ids_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified, ordered
+     * by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The ids at the given index.
+     */
+    public long getIds(int index) {
+      return ids_.getLong(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified, ordered
+     * by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The ids to set.
+     * @return This builder for chaining.
+     */
+    public Builder setIds(int index, long value) {
+      ensureIdsIsMutable();
+      ids_.setLong(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified, ordered
+     * by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @param value The ids to add.
+     * @return This builder for chaining.
+     */
+    public Builder addIds(long value) {
+      ensureIdsIsMutable();
+      ids_.addLong(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified, ordered
+     * by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @param values The ids to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllIds(java.lang.Iterable<? extends java.lang.Long> values) {
+      ensureIdsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, ids_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified, ordered
+     * by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearIds() {
+      ids_ = emptyLongList();
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList displayNames_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureDisplayNamesIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        displayNames_ = new com.google.protobuf.LazyStringArrayList(displayNames_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @return A list containing the displayNames.
+     */
+    public com.google.protobuf.ProtocolStringList getDisplayNamesList() {
+      return displayNames_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @return The count of displayNames.
+     */
+    public int getDisplayNamesCount() {
+      return displayNames_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The displayNames at the given index.
+     */
+    public java.lang.String getDisplayNames(int index) {
+      return displayNames_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the displayNames at the given index.
+     */
+    public com.google.protobuf.ByteString getDisplayNamesBytes(int index) {
+      return displayNames_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The displayNames to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNames(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureDisplayNamesIsMutable();
+      displayNames_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param value The displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addDisplayNames(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureDisplayNamesIsMutable();
+      displayNames_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param values The displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllDisplayNames(java.lang.Iterable<java.lang.String> values) {
+      ensureDisplayNamesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, displayNames_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayNames() {
+      displayNames_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param value The bytes of the displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addDisplayNamesBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureDisplayNamesIsMutable();
+      displayNames_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Internal.FloatList confidences_ = emptyFloatList();
+
+    private void ensureConfidencesIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        confidences_ = mutableCopy(confidences_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @return A list containing the confidences.
+     */
+    public java.util.List<java.lang.Float> getConfidencesList() {
+      return ((bitField0_ & 0x00000004) != 0)
+          ? java.util.Collections.unmodifiableList(confidences_)
+          : confidences_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @return The count of confidences.
+     */
+    public int getConfidencesCount() {
+      return confidences_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The confidences at the given index.
+     */
+    public float getConfidences(int index) {
+      return confidences_.getFloat(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The confidences to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidences(int index, float value) {
+      ensureConfidencesIsMutable();
+      confidences_.setFloat(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @param value The confidences to add.
+     * @return This builder for chaining.
+     */
+    public Builder addConfidences(float value) {
+      ensureConfidencesIsMutable();
+      confidences_.addFloat(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @param values The confidences to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllConfidences(java.lang.Iterable<? extends java.lang.Float> values) {
+      ensureConfidencesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidences_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidences() {
+      confidences_ = emptyFloatList();
+      bitField0_ = (bitField0_ & ~0x00000004);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .ClassificationPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ClassificationPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ClassificationPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<ClassificationPredictionResult>() {
+        @java.lang.Override
+        public ClassificationPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ClassificationPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ClassificationPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ClassificationPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResultOrBuilder.java
new file mode 100644
index 000000000..491faa3c9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResultOrBuilder.java
@@ -0,0 +1,162 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface ClassificationPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.ClassificationPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return A list containing the ids.
+   */
+  java.util.List<java.lang.Long> getIdsList();
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return The count of ids.
+   */
+  int getIdsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The ids at the given index.
+   */
+  long getIds(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return A list containing the displayNames.
+   */
+  java.util.List<java.lang.String> getDisplayNamesList();
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return The count of displayNames.
+   */
+  int getDisplayNamesCount();
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The displayNames at the given index.
+   */
+  java.lang.String getDisplayNames(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the displayNames at the given index.
+   */
+  com.google.protobuf.ByteString getDisplayNamesBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @return A list containing the confidences.
+   */
+  java.util.List<java.lang.Float> getConfidencesList();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @return The count of confidences.
+   */
+  int getConfidencesCount();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The confidences at the given index.
+   */
+  float getConfidences(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResultProto.java
new file mode 100644
index 000000000..176d646ce
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ClassificationPredictionResultProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class ClassificationPredictionResultProto {
+  private ClassificationPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nIgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/classification.proto\0224goo"
+          + "gle.cloud.aiplatform.v1.schema.predict.p"
+          + "rediction\032\034google/api/annotations.proto\""
+          + "Y\n\036ClassificationPredictionResult\022\013\n\003ids"
+          + "\030\001 \003(\003\022\025\n\rdisplay_names\030\002 \003(\t\022\023\n\013confide"
+          + "nces\030\003 \003(\002B\301\001\n8com.google.cloud.aiplatfo"
+          + "rm.v1.schema.predict.predictionB#Classif"
+          + "icationPredictionResultProtoP\001Z^google.g"
+          + "olang.org/genproto/googleapis/cloud/aipl"
+          + "atform/v1/schema/predict/prediction;pred"
+          + "ictionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ClassificationPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Ids", "DisplayNames", "Confidences",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResult.java
new file mode 100644
index 000000000..a0943e783
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResult.java
@@ -0,0 +1,1922 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Image Object Detection.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.ImageObjectDetectionPredictionResult}
+ */
+public final class ImageObjectDetectionPredictionResult
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.ImageObjectDetectionPredictionResult)
+    ImageObjectDetectionPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageObjectDetectionPredictionResult.newBuilder() to construct.
+  private ImageObjectDetectionPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImageObjectDetectionPredictionResult() {
+    ids_ = emptyLongList();
+    displayNames_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    confidences_ = emptyFloatList();
+    bboxes_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImageObjectDetectionPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageObjectDetectionPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                ids_ = newLongList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              ids_.addLong(input.readInt64());
+              break;
+            }
+          case 10:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000001) != 0) && input.getBytesUntilLimit() > 0) {
+                ids_ = newLongList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                ids_.addLong(input.readInt64());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                displayNames_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              displayNames_.add(s);
+              break;
+            }
+          case 29:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                confidences_ = newFloatList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              confidences_.addFloat(input.readFloat());
+              break;
+            }
+          case 26:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000004) != 0) && input.getBytesUntilLimit() > 0) {
+                confidences_ = newFloatList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                confidences_.addFloat(input.readFloat());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          case 34:
+            {
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                bboxes_ = new java.util.ArrayList<com.google.protobuf.ListValue>();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              bboxes_.add(
+                  input.readMessage(com.google.protobuf.ListValue.parser(), extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        ids_.makeImmutable(); // C
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        displayNames_ = displayNames_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        confidences_.makeImmutable(); // C
+      }
+      if (((mutable_bitField0_ & 0x00000008) != 0)) {
+        bboxes_ = java.util.Collections.unmodifiableList(bboxes_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .ImageObjectDetectionPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageObjectDetectionPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .ImageObjectDetectionPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageObjectDetectionPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .ImageObjectDetectionPredictionResult.class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .ImageObjectDetectionPredictionResult.Builder.class);
+  }
+
+  public static final int IDS_FIELD_NUMBER = 1;
+  private com.google.protobuf.Internal.LongList ids_;
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return A list containing the ids.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Long> getIdsList() {
+    return ids_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return The count of ids.
+   */
+  public int getIdsCount() {
+    return ids_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The ids at the given index.
+   */
+  public long getIds(int index) {
+    return ids_.getLong(index);
+  }
+
+  private int idsMemoizedSerializedSize = -1;
+
+  public static final int DISPLAY_NAMES_FIELD_NUMBER = 2;
+  private com.google.protobuf.LazyStringList displayNames_;
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return A list containing the displayNames.
+   */
+  public com.google.protobuf.ProtocolStringList getDisplayNamesList() {
+    return displayNames_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return The count of displayNames.
+   */
+  public int getDisplayNamesCount() {
+    return displayNames_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The displayNames at the given index.
+   */
+  public java.lang.String getDisplayNames(int index) {
+    return displayNames_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the displayNames at the given index.
+   */
+  public com.google.protobuf.ByteString getDisplayNamesBytes(int index) {
+    return displayNames_.getByteString(index);
+  }
+
+  public static final int CONFIDENCES_FIELD_NUMBER = 3;
+  private com.google.protobuf.Internal.FloatList confidences_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @return A list containing the confidences.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Float> getConfidencesList() {
+    return confidences_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @return The count of confidences.
+   */
+  public int getConfidencesCount() {
+    return confidences_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The confidences at the given index.
+   */
+  public float getConfidences(int index) {
+    return confidences_.getFloat(index);
+  }
+
+  private int confidencesMemoizedSerializedSize = -1;
+
+  public static final int BBOXES_FIELD_NUMBER = 4;
+  private java.util.List<com.google.protobuf.ListValue> bboxes_;
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  @java.lang.Override
+  public java.util.List<com.google.protobuf.ListValue> getBboxesList() {
+    return bboxes_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  @java.lang.Override
+  public java.util.List<? extends com.google.protobuf.ListValueOrBuilder> getBboxesOrBuilderList() {
+    return bboxes_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  @java.lang.Override
+  public int getBboxesCount() {
+    return bboxes_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ListValue getBboxes(int index) {
+    return bboxes_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.ListValueOrBuilder getBboxesOrBuilder(int index) {
+    return bboxes_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    getSerializedSize();
+    if (getIdsList().size() > 0) {
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+          .ImageObjectDetectionPredictionResult
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+          throws com.google.protobuf.InvalidProtocolBufferException {
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+          .ImageObjectDetectionPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
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+          .ImageObjectDetectionPredictionResult
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+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageObjectDetectionPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
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+          .ImageObjectDetectionPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+          .ImageObjectDetectionPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageObjectDetectionPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+  public Builder newBuilderForType() {
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+  public static Builder newBuilder(
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+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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+  /**
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+   *
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+   * </pre>
+   *
+   * Protobuf type {@code
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+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageObjectDetectionPredictionResult_descriptor;
+    }
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+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .ImageObjectDetectionPredictionResult
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+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
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+    @java.lang.Override
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+        return this;
+      }
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+
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+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The displayNames at the given index.
+     */
+    public java.lang.String getDisplayNames(int index) {
+      return displayNames_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the displayNames at the given index.
+     */
+    public com.google.protobuf.ByteString getDisplayNamesBytes(int index) {
+      return displayNames_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The displayNames to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNames(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureDisplayNamesIsMutable();
+      displayNames_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param value The displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addDisplayNames(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureDisplayNamesIsMutable();
+      displayNames_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param values The displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllDisplayNames(java.lang.Iterable<java.lang.String> values) {
+      ensureDisplayNamesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, displayNames_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayNames() {
+      displayNames_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified, order
+     * matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param value The bytes of the displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addDisplayNamesBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureDisplayNamesIsMutable();
+      displayNames_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Internal.FloatList confidences_ = emptyFloatList();
+
+    private void ensureConfidencesIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        confidences_ = mutableCopy(confidences_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @return A list containing the confidences.
+     */
+    public java.util.List<java.lang.Float> getConfidencesList() {
+      return ((bitField0_ & 0x00000004) != 0)
+          ? java.util.Collections.unmodifiableList(confidences_)
+          : confidences_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @return The count of confidences.
+     */
+    public int getConfidencesCount() {
+      return confidences_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The confidences at the given index.
+     */
+    public float getConfidences(int index) {
+      return confidences_.getFloat(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The confidences to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidences(int index, float value) {
+      ensureConfidencesIsMutable();
+      confidences_.setFloat(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @param value The confidences to add.
+     * @return This builder for chaining.
+     */
+    public Builder addConfidences(float value) {
+      ensureConfidencesIsMutable();
+      confidences_.addFloat(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @param values The confidences to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllConfidences(java.lang.Iterable<? extends java.lang.Float> values) {
+      ensureConfidencesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidences_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher value
+     * means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidences() {
+      confidences_ = emptyFloatList();
+      bitField0_ = (bitField0_ & ~0x00000004);
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<com.google.protobuf.ListValue> bboxes_ =
+        java.util.Collections.emptyList();
+
+    private void ensureBboxesIsMutable() {
+      if (!((bitField0_ & 0x00000008) != 0)) {
+        bboxes_ = new java.util.ArrayList<com.google.protobuf.ListValue>(bboxes_);
+        bitField0_ |= 0x00000008;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.protobuf.ListValue,
+            com.google.protobuf.ListValue.Builder,
+            com.google.protobuf.ListValueOrBuilder>
+        bboxesBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public java.util.List<com.google.protobuf.ListValue> getBboxesList() {
+      if (bboxesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(bboxes_);
+      } else {
+        return bboxesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public int getBboxesCount() {
+      if (bboxesBuilder_ == null) {
+        return bboxes_.size();
+      } else {
+        return bboxesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public com.google.protobuf.ListValue getBboxes(int index) {
+      if (bboxesBuilder_ == null) {
+        return bboxes_.get(index);
+      } else {
+        return bboxesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder setBboxes(int index, com.google.protobuf.ListValue value) {
+      if (bboxesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBboxesIsMutable();
+        bboxes_.set(index, value);
+        onChanged();
+      } else {
+        bboxesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder setBboxes(int index, com.google.protobuf.ListValue.Builder builderForValue) {
+      if (bboxesBuilder_ == null) {
+        ensureBboxesIsMutable();
+        bboxes_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        bboxesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder addBboxes(com.google.protobuf.ListValue value) {
+      if (bboxesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBboxesIsMutable();
+        bboxes_.add(value);
+        onChanged();
+      } else {
+        bboxesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder addBboxes(int index, com.google.protobuf.ListValue value) {
+      if (bboxesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureBboxesIsMutable();
+        bboxes_.add(index, value);
+        onChanged();
+      } else {
+        bboxesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder addBboxes(com.google.protobuf.ListValue.Builder builderForValue) {
+      if (bboxesBuilder_ == null) {
+        ensureBboxesIsMutable();
+        bboxes_.add(builderForValue.build());
+        onChanged();
+      } else {
+        bboxesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder addBboxes(int index, com.google.protobuf.ListValue.Builder builderForValue) {
+      if (bboxesBuilder_ == null) {
+        ensureBboxesIsMutable();
+        bboxes_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        bboxesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder addAllBboxes(
+        java.lang.Iterable<? extends com.google.protobuf.ListValue> values) {
+      if (bboxesBuilder_ == null) {
+        ensureBboxesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, bboxes_);
+        onChanged();
+      } else {
+        bboxesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder clearBboxes() {
+      if (bboxesBuilder_ == null) {
+        bboxes_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000008);
+        onChanged();
+      } else {
+        bboxesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public Builder removeBboxes(int index) {
+      if (bboxesBuilder_ == null) {
+        ensureBboxesIsMutable();
+        bboxes_.remove(index);
+        onChanged();
+      } else {
+        bboxesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public com.google.protobuf.ListValue.Builder getBboxesBuilder(int index) {
+      return getBboxesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public com.google.protobuf.ListValueOrBuilder getBboxesOrBuilder(int index) {
+      if (bboxesBuilder_ == null) {
+        return bboxes_.get(index);
+      } else {
+        return bboxesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public java.util.List<? extends com.google.protobuf.ListValueOrBuilder>
+        getBboxesOrBuilderList() {
+      if (bboxesBuilder_ != null) {
+        return bboxesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(bboxes_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public com.google.protobuf.ListValue.Builder addBboxesBuilder() {
+      return getBboxesFieldBuilder().addBuilder(com.google.protobuf.ListValue.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public com.google.protobuf.ListValue.Builder addBboxesBuilder(int index) {
+      return getBboxesFieldBuilder()
+          .addBuilder(index, com.google.protobuf.ListValue.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+     * the found AnnotationSpecs. Given in order that matches the IDs. Each
+     * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+     * `yMax`, which represent the extremal coordinates of the box. They are
+     * relative to the image size, and the point 0,0 is in the top left
+     * of the image.
+     * </pre>
+     *
+     * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+     */
+    public java.util.List<com.google.protobuf.ListValue.Builder> getBboxesBuilderList() {
+      return getBboxesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.protobuf.ListValue,
+            com.google.protobuf.ListValue.Builder,
+            com.google.protobuf.ListValueOrBuilder>
+        getBboxesFieldBuilder() {
+      if (bboxesBuilder_ == null) {
+        bboxesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.protobuf.ListValue,
+                com.google.protobuf.ListValue.Builder,
+                com.google.protobuf.ListValueOrBuilder>(
+                bboxes_, ((bitField0_ & 0x00000008) != 0), getParentForChildren(), isClean());
+        bboxes_ = null;
+      }
+      return bboxesBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.ImageObjectDetectionPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.ImageObjectDetectionPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageObjectDetectionPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .ImageObjectDetectionPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageObjectDetectionPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImageObjectDetectionPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<ImageObjectDetectionPredictionResult>() {
+        @java.lang.Override
+        public ImageObjectDetectionPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageObjectDetectionPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImageObjectDetectionPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImageObjectDetectionPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageObjectDetectionPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResultOrBuilder.java
new file mode 100644
index 000000000..ea192f2e2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResultOrBuilder.java
@@ -0,0 +1,238 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface ImageObjectDetectionPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.ImageObjectDetectionPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return A list containing the ids.
+   */
+  java.util.List<java.lang.Long> getIdsList();
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return The count of ids.
+   */
+  int getIdsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified, ordered
+   * by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The ids at the given index.
+   */
+  long getIds(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return A list containing the displayNames.
+   */
+  java.util.List<java.lang.String> getDisplayNamesList();
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return The count of displayNames.
+   */
+  int getDisplayNamesCount();
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The displayNames at the given index.
+   */
+  java.lang.String getDisplayNames(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified, order
+   * matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the displayNames at the given index.
+   */
+  com.google.protobuf.ByteString getDisplayNamesBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @return A list containing the confidences.
+   */
+  java.util.List<java.lang.Float> getConfidencesList();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @return The count of confidences.
+   */
+  int getConfidencesCount();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher value
+   * means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 3;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The confidences at the given index.
+   */
+  float getConfidences(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  java.util.List<com.google.protobuf.ListValue> getBboxesList();
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  com.google.protobuf.ListValue getBboxes(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  int getBboxesCount();
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  java.util.List<? extends com.google.protobuf.ListValueOrBuilder> getBboxesOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Bounding boxes, i.e. the rectangles over the image, that pinpoint
+   * the found AnnotationSpecs. Given in order that matches the IDs. Each
+   * bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+   * `yMax`, which represent the extremal coordinates of the box. They are
+   * relative to the image size, and the point 0,0 is in the top left
+   * of the image.
+   * </pre>
+   *
+   * <code>repeated .google.protobuf.ListValue bboxes = 4;</code>
+   */
+  com.google.protobuf.ListValueOrBuilder getBboxesOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResultProto.java
new file mode 100644
index 000000000..c888cc6e4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageObjectDetectionPredictionResultProto.java
@@ -0,0 +1,78 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class ImageObjectDetectionPredictionResultProto {
+  private ImageObjectDetectionPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageObjectDetectionPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageObjectDetectionPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nQgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/image_object_detection.pr"
+          + "oto\0224google.cloud.aiplatform.v1.schema.p"
+          + "redict.prediction\032\034google/protobuf/struc"
+          + "t.proto\032\034google/api/annotations.proto\"\213\001"
+          + "\n$ImageObjectDetectionPredictionResult\022\013"
+          + "\n\003ids\030\001 \003(\003\022\025\n\rdisplay_names\030\002 \003(\t\022\023\n\013co"
+          + "nfidences\030\003 \003(\002\022*\n\006bboxes\030\004 \003(\0132\032.google"
+          + ".protobuf.ListValueB\307\001\n8com.google.cloud"
+          + ".aiplatform.v1.schema.predict.prediction"
+          + "B)ImageObjectDetectionPredictionResultPr"
+          + "otoP\001Z^google.golang.org/genproto/google"
+          + "apis/cloud/aiplatform/v1/schema/predict/"
+          + "prediction;predictionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.protobuf.StructProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageObjectDetectionPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageObjectDetectionPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageObjectDetectionPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Ids", "DisplayNames", "Confidences", "Bboxes",
+            });
+    com.google.protobuf.StructProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResult.java
new file mode 100644
index 000000000..abdf9812a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResult.java
@@ -0,0 +1,947 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Image Segmentation.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult}
+ */
+public final class ImageSegmentationPredictionResult extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult)
+    ImageSegmentationPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ImageSegmentationPredictionResult.newBuilder() to construct.
+  private ImageSegmentationPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ImageSegmentationPredictionResult() {
+    categoryMask_ = "";
+    confidenceMask_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ImageSegmentationPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ImageSegmentationPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              categoryMask_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              confidenceMask_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .ImageSegmentationPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .ImageSegmentationPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .ImageSegmentationPredictionResult.class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .ImageSegmentationPredictionResult.Builder.class);
+  }
+
+  public static final int CATEGORY_MASK_FIELD_NUMBER = 1;
+  private volatile java.lang.Object categoryMask_;
+  /**
+   *
+   *
+   * <pre>
+   * A PNG image where each pixel in the mask represents the category in which
+   * the pixel in the original image was predicted to belong to. The size of
+   * this image will be the same as the original image. The mapping between the
+   * AnntoationSpec and the color can be found in model's metadata. The model
+   * will choose the most likely category and if none of the categories reach
+   * the confidence threshold, the pixel will be marked as background.
+   * </pre>
+   *
+   * <code>string category_mask = 1;</code>
+   *
+   * @return The categoryMask.
+   */
+  @java.lang.Override
+  public java.lang.String getCategoryMask() {
+    java.lang.Object ref = categoryMask_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      categoryMask_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A PNG image where each pixel in the mask represents the category in which
+   * the pixel in the original image was predicted to belong to. The size of
+   * this image will be the same as the original image. The mapping between the
+   * AnntoationSpec and the color can be found in model's metadata. The model
+   * will choose the most likely category and if none of the categories reach
+   * the confidence threshold, the pixel will be marked as background.
+   * </pre>
+   *
+   * <code>string category_mask = 1;</code>
+   *
+   * @return The bytes for categoryMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getCategoryMaskBytes() {
+    java.lang.Object ref = categoryMask_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      categoryMask_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int CONFIDENCE_MASK_FIELD_NUMBER = 2;
+  private volatile java.lang.Object confidenceMask_;
+  /**
+   *
+   *
+   * <pre>
+   * A one channel image which is encoded as an 8bit lossless PNG. The size of
+   * the image will be the same as the original image. For a specific pixel,
+   * darker color means less confidence in correctness of the cateogry in the
+   * categoryMask for the corresponding pixel. Black means no confidence and
+   * white means complete confidence.
+   * </pre>
+   *
+   * <code>string confidence_mask = 2;</code>
+   *
+   * @return The confidenceMask.
+   */
+  @java.lang.Override
+  public java.lang.String getConfidenceMask() {
+    java.lang.Object ref = confidenceMask_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      confidenceMask_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A one channel image which is encoded as an 8bit lossless PNG. The size of
+   * the image will be the same as the original image. For a specific pixel,
+   * darker color means less confidence in correctness of the cateogry in the
+   * categoryMask for the corresponding pixel. Black means no confidence and
+   * white means complete confidence.
+   * </pre>
+   *
+   * <code>string confidence_mask = 2;</code>
+   *
+   * @return The bytes for confidenceMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getConfidenceMaskBytes() {
+    java.lang.Object ref = confidenceMask_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      confidenceMask_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getCategoryMaskBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, categoryMask_);
+    }
+    if (!getConfidenceMaskBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, confidenceMask_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getCategoryMaskBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, categoryMask_);
+    }
+    if (!getConfidenceMaskBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, confidenceMask_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .ImageSegmentationPredictionResult)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .ImageSegmentationPredictionResult)
+                obj;
+
+    if (!getCategoryMask().equals(other.getCategoryMask())) return false;
+    if (!getConfidenceMask().equals(other.getConfidenceMask())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + CATEGORY_MASK_FIELD_NUMBER;
+    hash = (53 * hash) + getCategoryMask().hashCode();
+    hash = (37 * hash) + CONFIDENCE_MASK_FIELD_NUMBER;
+    hash = (53 * hash) + getConfidenceMask().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction output format for Image Segmentation.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult)
+      com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResultOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .ImageSegmentationPredictionResult.class,
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .ImageSegmentationPredictionResult.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      categoryMask_ = "";
+
+      confidenceMask_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .ImageSegmentationPredictionResult
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .ImageSegmentationPredictionResult
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .ImageSegmentationPredictionResult
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .ImageSegmentationPredictionResult(this);
+      result.categoryMask_ = categoryMask_;
+      result.confidenceMask_ = confidenceMask_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .ImageSegmentationPredictionResult) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .ImageSegmentationPredictionResult)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .ImageSegmentationPredictionResult.getDefaultInstance()) return this;
+      if (!other.getCategoryMask().isEmpty()) {
+        categoryMask_ = other.categoryMask_;
+        onChanged();
+      }
+      if (!other.getConfidenceMask().isEmpty()) {
+        confidenceMask_ = other.confidenceMask_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .ImageSegmentationPredictionResult)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object categoryMask_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A PNG image where each pixel in the mask represents the category in which
+     * the pixel in the original image was predicted to belong to. The size of
+     * this image will be the same as the original image. The mapping between the
+     * AnntoationSpec and the color can be found in model's metadata. The model
+     * will choose the most likely category and if none of the categories reach
+     * the confidence threshold, the pixel will be marked as background.
+     * </pre>
+     *
+     * <code>string category_mask = 1;</code>
+     *
+     * @return The categoryMask.
+     */
+    public java.lang.String getCategoryMask() {
+      java.lang.Object ref = categoryMask_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        categoryMask_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A PNG image where each pixel in the mask represents the category in which
+     * the pixel in the original image was predicted to belong to. The size of
+     * this image will be the same as the original image. The mapping between the
+     * AnntoationSpec and the color can be found in model's metadata. The model
+     * will choose the most likely category and if none of the categories reach
+     * the confidence threshold, the pixel will be marked as background.
+     * </pre>
+     *
+     * <code>string category_mask = 1;</code>
+     *
+     * @return The bytes for categoryMask.
+     */
+    public com.google.protobuf.ByteString getCategoryMaskBytes() {
+      java.lang.Object ref = categoryMask_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        categoryMask_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A PNG image where each pixel in the mask represents the category in which
+     * the pixel in the original image was predicted to belong to. The size of
+     * this image will be the same as the original image. The mapping between the
+     * AnntoationSpec and the color can be found in model's metadata. The model
+     * will choose the most likely category and if none of the categories reach
+     * the confidence threshold, the pixel will be marked as background.
+     * </pre>
+     *
+     * <code>string category_mask = 1;</code>
+     *
+     * @param value The categoryMask to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCategoryMask(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      categoryMask_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A PNG image where each pixel in the mask represents the category in which
+     * the pixel in the original image was predicted to belong to. The size of
+     * this image will be the same as the original image. The mapping between the
+     * AnntoationSpec and the color can be found in model's metadata. The model
+     * will choose the most likely category and if none of the categories reach
+     * the confidence threshold, the pixel will be marked as background.
+     * </pre>
+     *
+     * <code>string category_mask = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearCategoryMask() {
+
+      categoryMask_ = getDefaultInstance().getCategoryMask();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A PNG image where each pixel in the mask represents the category in which
+     * the pixel in the original image was predicted to belong to. The size of
+     * this image will be the same as the original image. The mapping between the
+     * AnntoationSpec and the color can be found in model's metadata. The model
+     * will choose the most likely category and if none of the categories reach
+     * the confidence threshold, the pixel will be marked as background.
+     * </pre>
+     *
+     * <code>string category_mask = 1;</code>
+     *
+     * @param value The bytes for categoryMask to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCategoryMaskBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      categoryMask_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object confidenceMask_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * A one channel image which is encoded as an 8bit lossless PNG. The size of
+     * the image will be the same as the original image. For a specific pixel,
+     * darker color means less confidence in correctness of the cateogry in the
+     * categoryMask for the corresponding pixel. Black means no confidence and
+     * white means complete confidence.
+     * </pre>
+     *
+     * <code>string confidence_mask = 2;</code>
+     *
+     * @return The confidenceMask.
+     */
+    public java.lang.String getConfidenceMask() {
+      java.lang.Object ref = confidenceMask_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        confidenceMask_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A one channel image which is encoded as an 8bit lossless PNG. The size of
+     * the image will be the same as the original image. For a specific pixel,
+     * darker color means less confidence in correctness of the cateogry in the
+     * categoryMask for the corresponding pixel. Black means no confidence and
+     * white means complete confidence.
+     * </pre>
+     *
+     * <code>string confidence_mask = 2;</code>
+     *
+     * @return The bytes for confidenceMask.
+     */
+    public com.google.protobuf.ByteString getConfidenceMaskBytes() {
+      java.lang.Object ref = confidenceMask_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        confidenceMask_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A one channel image which is encoded as an 8bit lossless PNG. The size of
+     * the image will be the same as the original image. For a specific pixel,
+     * darker color means less confidence in correctness of the cateogry in the
+     * categoryMask for the corresponding pixel. Black means no confidence and
+     * white means complete confidence.
+     * </pre>
+     *
+     * <code>string confidence_mask = 2;</code>
+     *
+     * @param value The confidenceMask to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceMask(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      confidenceMask_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A one channel image which is encoded as an 8bit lossless PNG. The size of
+     * the image will be the same as the original image. For a specific pixel,
+     * darker color means less confidence in correctness of the cateogry in the
+     * categoryMask for the corresponding pixel. Black means no confidence and
+     * white means complete confidence.
+     * </pre>
+     *
+     * <code>string confidence_mask = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidenceMask() {
+
+      confidenceMask_ = getDefaultInstance().getConfidenceMask();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A one channel image which is encoded as an 8bit lossless PNG. The size of
+     * the image will be the same as the original image. For a specific pixel,
+     * darker color means less confidence in correctness of the cateogry in the
+     * categoryMask for the corresponding pixel. Black means no confidence and
+     * white means complete confidence.
+     * </pre>
+     *
+     * <code>string confidence_mask = 2;</code>
+     *
+     * @param value The bytes for confidenceMask to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceMaskBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      confidenceMask_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .ImageSegmentationPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .ImageSegmentationPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ImageSegmentationPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<ImageSegmentationPredictionResult>() {
+        @java.lang.Override
+        public ImageSegmentationPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ImageSegmentationPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ImageSegmentationPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ImageSegmentationPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java
new file mode 100644
index 000000000..feb4784e0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java
@@ -0,0 +1,93 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface ImageSegmentationPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * A PNG image where each pixel in the mask represents the category in which
+   * the pixel in the original image was predicted to belong to. The size of
+   * this image will be the same as the original image. The mapping between the
+   * AnntoationSpec and the color can be found in model's metadata. The model
+   * will choose the most likely category and if none of the categories reach
+   * the confidence threshold, the pixel will be marked as background.
+   * </pre>
+   *
+   * <code>string category_mask = 1;</code>
+   *
+   * @return The categoryMask.
+   */
+  java.lang.String getCategoryMask();
+  /**
+   *
+   *
+   * <pre>
+   * A PNG image where each pixel in the mask represents the category in which
+   * the pixel in the original image was predicted to belong to. The size of
+   * this image will be the same as the original image. The mapping between the
+   * AnntoationSpec and the color can be found in model's metadata. The model
+   * will choose the most likely category and if none of the categories reach
+   * the confidence threshold, the pixel will be marked as background.
+   * </pre>
+   *
+   * <code>string category_mask = 1;</code>
+   *
+   * @return The bytes for categoryMask.
+   */
+  com.google.protobuf.ByteString getCategoryMaskBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * A one channel image which is encoded as an 8bit lossless PNG. The size of
+   * the image will be the same as the original image. For a specific pixel,
+   * darker color means less confidence in correctness of the cateogry in the
+   * categoryMask for the corresponding pixel. Black means no confidence and
+   * white means complete confidence.
+   * </pre>
+   *
+   * <code>string confidence_mask = 2;</code>
+   *
+   * @return The confidenceMask.
+   */
+  java.lang.String getConfidenceMask();
+  /**
+   *
+   *
+   * <pre>
+   * A one channel image which is encoded as an 8bit lossless PNG. The size of
+   * the image will be the same as the original image. For a specific pixel,
+   * darker color means less confidence in correctness of the cateogry in the
+   * categoryMask for the corresponding pixel. Black means no confidence and
+   * white means complete confidence.
+   * </pre>
+   *
+   * <code>string confidence_mask = 2;</code>
+   *
+   * @return The bytes for confidenceMask.
+   */
+  com.google.protobuf.ByteString getConfidenceMaskBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java
new file mode 100644
index 000000000..2881820be
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class ImageSegmentationPredictionResultProto {
+  private ImageSegmentationPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nMgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/image_segmentation.proto\022"
+          + "4google.cloud.aiplatform.v1.schema.predi"
+          + "ct.prediction\032\034google/api/annotations.pr"
+          + "oto\"S\n!ImageSegmentationPredictionResult"
+          + "\022\025\n\rcategory_mask\030\001 \001(\t\022\027\n\017confidence_ma"
+          + "sk\030\002 \001(\tB\304\001\n8com.google.cloud.aiplatform"
+          + ".v1.schema.predict.predictionB&ImageSegm"
+          + "entationPredictionResultProtoP\001Z^google."
+          + "golang.org/genproto/googleapis/cloud/aip"
+          + "latform/v1/schema/predict/prediction;pre"
+          + "dictionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_ImageSegmentationPredictionResult_descriptor,
+            new java.lang.String[] {
+              "CategoryMask", "ConfidenceMask",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResult.java
new file mode 100644
index 000000000..522477425
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResult.java
@@ -0,0 +1,1084 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/tabular_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Tabular Classification.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult}
+ */
+public final class TabularClassificationPredictionResult
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult)
+    TabularClassificationPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TabularClassificationPredictionResult.newBuilder() to construct.
+  private TabularClassificationPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TabularClassificationPredictionResult() {
+    classes_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    scores_ = emptyFloatList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TabularClassificationPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TabularClassificationPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                classes_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              classes_.add(s);
+              break;
+            }
+          case 21:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                scores_ = newFloatList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              scores_.addFloat(input.readFloat());
+              break;
+            }
+          case 18:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000002) != 0) && input.getBytesUntilLimit() > 0) {
+                scores_ = newFloatList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                scores_.addFloat(input.readFloat());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        classes_ = classes_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        scores_.makeImmutable(); // C
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .TabularClassificationPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .TabularClassificationPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .TabularClassificationPredictionResult.class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .TabularClassificationPredictionResult.Builder.class);
+  }
+
+  public static final int CLASSES_FIELD_NUMBER = 1;
+  private com.google.protobuf.LazyStringList classes_;
+  /**
+   *
+   *
+   * <pre>
+   * The name of the classes being classified, contains all possible values of
+   * the target column.
+   * </pre>
+   *
+   * <code>repeated string classes = 1;</code>
+   *
+   * @return A list containing the classes.
+   */
+  public com.google.protobuf.ProtocolStringList getClassesList() {
+    return classes_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The name of the classes being classified, contains all possible values of
+   * the target column.
+   * </pre>
+   *
+   * <code>repeated string classes = 1;</code>
+   *
+   * @return The count of classes.
+   */
+  public int getClassesCount() {
+    return classes_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The name of the classes being classified, contains all possible values of
+   * the target column.
+   * </pre>
+   *
+   * <code>repeated string classes = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The classes at the given index.
+   */
+  public java.lang.String getClasses(int index) {
+    return classes_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The name of the classes being classified, contains all possible values of
+   * the target column.
+   * </pre>
+   *
+   * <code>repeated string classes = 1;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the classes at the given index.
+   */
+  public com.google.protobuf.ByteString getClassesBytes(int index) {
+    return classes_.getByteString(index);
+  }
+
+  public static final int SCORES_FIELD_NUMBER = 2;
+  private com.google.protobuf.Internal.FloatList scores_;
+  /**
+   *
+   *
+   * <pre>
+   * The model's confidence in each class being correct, higher
+   * value means higher confidence. The N-th score corresponds to
+   * the N-th class in classes.
+   * </pre>
+   *
+   * <code>repeated float scores = 2;</code>
+   *
+   * @return A list containing the scores.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Float> getScoresList() {
+    return scores_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The model's confidence in each class being correct, higher
+   * value means higher confidence. The N-th score corresponds to
+   * the N-th class in classes.
+   * </pre>
+   *
+   * <code>repeated float scores = 2;</code>
+   *
+   * @return The count of scores.
+   */
+  public int getScoresCount() {
+    return scores_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The model's confidence in each class being correct, higher
+   * value means higher confidence. The N-th score corresponds to
+   * the N-th class in classes.
+   * </pre>
+   *
+   * <code>repeated float scores = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The scores at the given index.
+   */
+  public float getScores(int index) {
+    return scores_.getFloat(index);
+  }
+
+  private int scoresMemoizedSerializedSize = -1;
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    getSerializedSize();
+    for (int i = 0; i < classes_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, classes_.getRaw(i));
+    }
+    if (getScoresList().size() > 0) {
+      output.writeUInt32NoTag(18);
+      output.writeUInt32NoTag(scoresMemoizedSerializedSize);
+    }
+    for (int i = 0; i < scores_.size(); i++) {
+      output.writeFloatNoTag(scores_.getFloat(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    {
+      int dataSize = 0;
+      for (int i = 0; i < classes_.size(); i++) {
+        dataSize += computeStringSizeNoTag(classes_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getClassesList().size();
+    }
+    {
+      int dataSize = 0;
+      dataSize = 4 * getScoresList().size();
+      size += dataSize;
+      if (!getScoresList().isEmpty()) {
+        size += 1;
+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      scoresMemoizedSerializedSize = dataSize;
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularClassificationPredictionResult)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .TabularClassificationPredictionResult)
+                obj;
+
+    if (!getClassesList().equals(other.getClassesList())) return false;
+    if (!getScoresList().equals(other.getScoresList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getClassesCount() > 0) {
+      hash = (37 * hash) + CLASSES_FIELD_NUMBER;
+      hash = (53 * hash) + getClassesList().hashCode();
+    }
+    if (getScoresCount() > 0) {
+      hash = (37 * hash) + SCORES_FIELD_NUMBER;
+      hash = (53 * hash) + getScoresList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction output format for Tabular Classification.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult)
+      com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResultOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TabularClassificationPredictionResult.class,
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TabularClassificationPredictionResult.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      classes_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      scores_ = emptyFloatList();
+      bitField0_ = (bitField0_ & ~0x00000002);
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularClassificationPredictionResult
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularClassificationPredictionResult
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularClassificationPredictionResult
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TabularClassificationPredictionResult(this);
+      int from_bitField0_ = bitField0_;
+      if (((bitField0_ & 0x00000001) != 0)) {
+        classes_ = classes_.getUnmodifiableView();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      }
+      result.classes_ = classes_;
+      if (((bitField0_ & 0x00000002) != 0)) {
+        scores_.makeImmutable();
+        bitField0_ = (bitField0_ & ~0x00000002);
+      }
+      result.scores_ = scores_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .TabularClassificationPredictionResult) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .TabularClassificationPredictionResult)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .TabularClassificationPredictionResult
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .TabularClassificationPredictionResult.getDefaultInstance()) return this;
+      if (!other.classes_.isEmpty()) {
+        if (classes_.isEmpty()) {
+          classes_ = other.classes_;
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          ensureClassesIsMutable();
+          classes_.addAll(other.classes_);
+        }
+        onChanged();
+      }
+      if (!other.scores_.isEmpty()) {
+        if (scores_.isEmpty()) {
+          scores_ = other.scores_;
+          bitField0_ = (bitField0_ & ~0x00000002);
+        } else {
+          ensureScoresIsMutable();
+          scores_.addAll(other.scores_);
+        }
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .TabularClassificationPredictionResult)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.LazyStringList classes_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureClassesIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        classes_ = new com.google.protobuf.LazyStringArrayList(classes_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @return A list containing the classes.
+     */
+    public com.google.protobuf.ProtocolStringList getClassesList() {
+      return classes_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @return The count of classes.
+     */
+    public int getClassesCount() {
+      return classes_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The classes at the given index.
+     */
+    public java.lang.String getClasses(int index) {
+      return classes_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the classes at the given index.
+     */
+    public com.google.protobuf.ByteString getClassesBytes(int index) {
+      return classes_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The classes to set.
+     * @return This builder for chaining.
+     */
+    public Builder setClasses(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureClassesIsMutable();
+      classes_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @param value The classes to add.
+     * @return This builder for chaining.
+     */
+    public Builder addClasses(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureClassesIsMutable();
+      classes_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @param values The classes to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllClasses(java.lang.Iterable<java.lang.String> values) {
+      ensureClassesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, classes_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearClasses() {
+      classes_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The name of the classes being classified, contains all possible values of
+     * the target column.
+     * </pre>
+     *
+     * <code>repeated string classes = 1;</code>
+     *
+     * @param value The bytes of the classes to add.
+     * @return This builder for chaining.
+     */
+    public Builder addClassesBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureClassesIsMutable();
+      classes_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Internal.FloatList scores_ = emptyFloatList();
+
+    private void ensureScoresIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        scores_ = mutableCopy(scores_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model's confidence in each class being correct, higher
+     * value means higher confidence. The N-th score corresponds to
+     * the N-th class in classes.
+     * </pre>
+     *
+     * <code>repeated float scores = 2;</code>
+     *
+     * @return A list containing the scores.
+     */
+    public java.util.List<java.lang.Float> getScoresList() {
+      return ((bitField0_ & 0x00000002) != 0)
+          ? java.util.Collections.unmodifiableList(scores_)
+          : scores_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model's confidence in each class being correct, higher
+     * value means higher confidence. The N-th score corresponds to
+     * the N-th class in classes.
+     * </pre>
+     *
+     * <code>repeated float scores = 2;</code>
+     *
+     * @return The count of scores.
+     */
+    public int getScoresCount() {
+      return scores_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model's confidence in each class being correct, higher
+     * value means higher confidence. The N-th score corresponds to
+     * the N-th class in classes.
+     * </pre>
+     *
+     * <code>repeated float scores = 2;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The scores at the given index.
+     */
+    public float getScores(int index) {
+      return scores_.getFloat(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model's confidence in each class being correct, higher
+     * value means higher confidence. The N-th score corresponds to
+     * the N-th class in classes.
+     * </pre>
+     *
+     * <code>repeated float scores = 2;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The scores to set.
+     * @return This builder for chaining.
+     */
+    public Builder setScores(int index, float value) {
+      ensureScoresIsMutable();
+      scores_.setFloat(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model's confidence in each class being correct, higher
+     * value means higher confidence. The N-th score corresponds to
+     * the N-th class in classes.
+     * </pre>
+     *
+     * <code>repeated float scores = 2;</code>
+     *
+     * @param value The scores to add.
+     * @return This builder for chaining.
+     */
+    public Builder addScores(float value) {
+      ensureScoresIsMutable();
+      scores_.addFloat(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model's confidence in each class being correct, higher
+     * value means higher confidence. The N-th score corresponds to
+     * the N-th class in classes.
+     * </pre>
+     *
+     * <code>repeated float scores = 2;</code>
+     *
+     * @param values The scores to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllScores(java.lang.Iterable<? extends java.lang.Float> values) {
+      ensureScoresIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, scores_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The model's confidence in each class being correct, higher
+     * value means higher confidence. The N-th score corresponds to
+     * the N-th class in classes.
+     * </pre>
+     *
+     * <code>repeated float scores = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearScores() {
+      scores_ = emptyFloatList();
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularClassificationPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TabularClassificationPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<TabularClassificationPredictionResult>() {
+        @java.lang.Override
+        public TabularClassificationPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TabularClassificationPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TabularClassificationPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TabularClassificationPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularClassificationPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResultOrBuilder.java
new file mode 100644
index 000000000..aabc523e5
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResultOrBuilder.java
@@ -0,0 +1,124 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/tabular_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface TabularClassificationPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The name of the classes being classified, contains all possible values of
+   * the target column.
+   * </pre>
+   *
+   * <code>repeated string classes = 1;</code>
+   *
+   * @return A list containing the classes.
+   */
+  java.util.List<java.lang.String> getClassesList();
+  /**
+   *
+   *
+   * <pre>
+   * The name of the classes being classified, contains all possible values of
+   * the target column.
+   * </pre>
+   *
+   * <code>repeated string classes = 1;</code>
+   *
+   * @return The count of classes.
+   */
+  int getClassesCount();
+  /**
+   *
+   *
+   * <pre>
+   * The name of the classes being classified, contains all possible values of
+   * the target column.
+   * </pre>
+   *
+   * <code>repeated string classes = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The classes at the given index.
+   */
+  java.lang.String getClasses(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The name of the classes being classified, contains all possible values of
+   * the target column.
+   * </pre>
+   *
+   * <code>repeated string classes = 1;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the classes at the given index.
+   */
+  com.google.protobuf.ByteString getClassesBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The model's confidence in each class being correct, higher
+   * value means higher confidence. The N-th score corresponds to
+   * the N-th class in classes.
+   * </pre>
+   *
+   * <code>repeated float scores = 2;</code>
+   *
+   * @return A list containing the scores.
+   */
+  java.util.List<java.lang.Float> getScoresList();
+  /**
+   *
+   *
+   * <pre>
+   * The model's confidence in each class being correct, higher
+   * value means higher confidence. The N-th score corresponds to
+   * the N-th class in classes.
+   * </pre>
+   *
+   * <code>repeated float scores = 2;</code>
+   *
+   * @return The count of scores.
+   */
+  int getScoresCount();
+  /**
+   *
+   *
+   * <pre>
+   * The model's confidence in each class being correct, higher
+   * value means higher confidence. The N-th score corresponds to
+   * the N-th class in classes.
+   * </pre>
+   *
+   * <code>repeated float scores = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The scores at the given index.
+   */
+  float getScores(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResultProto.java
new file mode 100644
index 000000000..6820220e2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularClassificationPredictionResultProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/tabular_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class TabularClassificationPredictionResultProto {
+  private TabularClassificationPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nQgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/tabular_classification.pr"
+          + "oto\0224google.cloud.aiplatform.v1.schema.p"
+          + "redict.prediction\032\034google/api/annotation"
+          + "s.proto\"H\n%TabularClassificationPredicti"
+          + "onResult\022\017\n\007classes\030\001 \003(\t\022\016\n\006scores\030\002 \003("
+          + "\002B\310\001\n8com.google.cloud.aiplatform.v1.sch"
+          + "ema.predict.predictionB*TabularClassific"
+          + "ationPredictionResultProtoP\001Z^google.gol"
+          + "ang.org/genproto/googleapis/cloud/aiplat"
+          + "form/v1/schema/predict/prediction;predic"
+          + "tionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularClassificationPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Classes", "Scores",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResult.java
new file mode 100644
index 000000000..388897084
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResult.java
@@ -0,0 +1,798 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/tabular_regression.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Tabular Regression.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult}
+ */
+public final class TabularRegressionPredictionResult extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult)
+    TabularRegressionPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TabularRegressionPredictionResult.newBuilder() to construct.
+  private TabularRegressionPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TabularRegressionPredictionResult() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TabularRegressionPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TabularRegressionPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 13:
+            {
+              value_ = input.readFloat();
+              break;
+            }
+          case 21:
+            {
+              lowerBound_ = input.readFloat();
+              break;
+            }
+          case 29:
+            {
+              upperBound_ = input.readFloat();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .TabularRegressionPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .TabularRegressionPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .TabularRegressionPredictionResult.class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .TabularRegressionPredictionResult.Builder.class);
+  }
+
+  public static final int VALUE_FIELD_NUMBER = 1;
+  private float value_;
+  /**
+   *
+   *
+   * <pre>
+   * The regression value.
+   * </pre>
+   *
+   * <code>float value = 1;</code>
+   *
+   * @return The value.
+   */
+  @java.lang.Override
+  public float getValue() {
+    return value_;
+  }
+
+  public static final int LOWER_BOUND_FIELD_NUMBER = 2;
+  private float lowerBound_;
+  /**
+   *
+   *
+   * <pre>
+   * The lower bound of the prediction interval.
+   * </pre>
+   *
+   * <code>float lower_bound = 2;</code>
+   *
+   * @return The lowerBound.
+   */
+  @java.lang.Override
+  public float getLowerBound() {
+    return lowerBound_;
+  }
+
+  public static final int UPPER_BOUND_FIELD_NUMBER = 3;
+  private float upperBound_;
+  /**
+   *
+   *
+   * <pre>
+   * The upper bound of the prediction interval.
+   * </pre>
+   *
+   * <code>float upper_bound = 3;</code>
+   *
+   * @return The upperBound.
+   */
+  @java.lang.Override
+  public float getUpperBound() {
+    return upperBound_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (value_ != 0F) {
+      output.writeFloat(1, value_);
+    }
+    if (lowerBound_ != 0F) {
+      output.writeFloat(2, lowerBound_);
+    }
+    if (upperBound_ != 0F) {
+      output.writeFloat(3, upperBound_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (value_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, value_);
+    }
+    if (lowerBound_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, lowerBound_);
+    }
+    if (upperBound_ != 0F) {
+      size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, upperBound_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularRegressionPredictionResult)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .TabularRegressionPredictionResult)
+                obj;
+
+    if (java.lang.Float.floatToIntBits(getValue())
+        != java.lang.Float.floatToIntBits(other.getValue())) return false;
+    if (java.lang.Float.floatToIntBits(getLowerBound())
+        != java.lang.Float.floatToIntBits(other.getLowerBound())) return false;
+    if (java.lang.Float.floatToIntBits(getUpperBound())
+        != java.lang.Float.floatToIntBits(other.getUpperBound())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + VALUE_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getValue());
+    hash = (37 * hash) + LOWER_BOUND_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getLowerBound());
+    hash = (37 * hash) + UPPER_BOUND_FIELD_NUMBER;
+    hash = (53 * hash) + java.lang.Float.floatToIntBits(getUpperBound());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction output format for Tabular Regression.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult)
+      com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResultOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TabularRegressionPredictionResult.class,
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TabularRegressionPredictionResult.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      value_ = 0F;
+
+      lowerBound_ = 0F;
+
+      upperBound_ = 0F;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularRegressionPredictionResult
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularRegressionPredictionResult
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularRegressionPredictionResult
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TabularRegressionPredictionResult(this);
+      result.value_ = value_;
+      result.lowerBound_ = lowerBound_;
+      result.upperBound_ = upperBound_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .TabularRegressionPredictionResult) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .TabularRegressionPredictionResult)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .TabularRegressionPredictionResult.getDefaultInstance()) return this;
+      if (other.getValue() != 0F) {
+        setValue(other.getValue());
+      }
+      if (other.getLowerBound() != 0F) {
+        setLowerBound(other.getLowerBound());
+      }
+      if (other.getUpperBound() != 0F) {
+        setUpperBound(other.getUpperBound());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .TabularRegressionPredictionResult)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private float value_;
+    /**
+     *
+     *
+     * <pre>
+     * The regression value.
+     * </pre>
+     *
+     * <code>float value = 1;</code>
+     *
+     * @return The value.
+     */
+    @java.lang.Override
+    public float getValue() {
+      return value_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The regression value.
+     * </pre>
+     *
+     * <code>float value = 1;</code>
+     *
+     * @param value The value to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValue(float value) {
+
+      value_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The regression value.
+     * </pre>
+     *
+     * <code>float value = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearValue() {
+
+      value_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private float lowerBound_;
+    /**
+     *
+     *
+     * <pre>
+     * The lower bound of the prediction interval.
+     * </pre>
+     *
+     * <code>float lower_bound = 2;</code>
+     *
+     * @return The lowerBound.
+     */
+    @java.lang.Override
+    public float getLowerBound() {
+      return lowerBound_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The lower bound of the prediction interval.
+     * </pre>
+     *
+     * <code>float lower_bound = 2;</code>
+     *
+     * @param value The lowerBound to set.
+     * @return This builder for chaining.
+     */
+    public Builder setLowerBound(float value) {
+
+      lowerBound_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The lower bound of the prediction interval.
+     * </pre>
+     *
+     * <code>float lower_bound = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearLowerBound() {
+
+      lowerBound_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    private float upperBound_;
+    /**
+     *
+     *
+     * <pre>
+     * The upper bound of the prediction interval.
+     * </pre>
+     *
+     * <code>float upper_bound = 3;</code>
+     *
+     * @return The upperBound.
+     */
+    @java.lang.Override
+    public float getUpperBound() {
+      return upperBound_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The upper bound of the prediction interval.
+     * </pre>
+     *
+     * <code>float upper_bound = 3;</code>
+     *
+     * @param value The upperBound to set.
+     * @return This builder for chaining.
+     */
+    public Builder setUpperBound(float value) {
+
+      upperBound_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The upper bound of the prediction interval.
+     * </pre>
+     *
+     * <code>float upper_bound = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearUpperBound() {
+
+      upperBound_ = 0F;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TabularRegressionPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TabularRegressionPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TabularRegressionPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<TabularRegressionPredictionResult>() {
+        @java.lang.Override
+        public TabularRegressionPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TabularRegressionPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TabularRegressionPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TabularRegressionPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResultOrBuilder.java
new file mode 100644
index 000000000..dfe4777aa
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResultOrBuilder.java
@@ -0,0 +1,64 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/tabular_regression.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface TabularRegressionPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.TabularRegressionPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The regression value.
+   * </pre>
+   *
+   * <code>float value = 1;</code>
+   *
+   * @return The value.
+   */
+  float getValue();
+
+  /**
+   *
+   *
+   * <pre>
+   * The lower bound of the prediction interval.
+   * </pre>
+   *
+   * <code>float lower_bound = 2;</code>
+   *
+   * @return The lowerBound.
+   */
+  float getLowerBound();
+
+  /**
+   *
+   *
+   * <pre>
+   * The upper bound of the prediction interval.
+   * </pre>
+   *
+   * <code>float upper_bound = 3;</code>
+   *
+   * @return The upperBound.
+   */
+  float getUpperBound();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResultProto.java
new file mode 100644
index 000000000..2b530712e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TabularRegressionPredictionResultProto.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/tabular_regression.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class TabularRegressionPredictionResultProto {
+  private TabularRegressionPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nMgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/tabular_regression.proto\022"
+          + "4google.cloud.aiplatform.v1.schema.predi"
+          + "ct.prediction\032\034google/api/annotations.pr"
+          + "oto\"\\\n!TabularRegressionPredictionResult"
+          + "\022\r\n\005value\030\001 \001(\002\022\023\n\013lower_bound\030\002 \001(\002\022\023\n\013"
+          + "upper_bound\030\003 \001(\002B\304\001\n8com.google.cloud.a"
+          + "iplatform.v1.schema.predict.predictionB&"
+          + "TabularRegressionPredictionResultProtoP\001"
+          + "Z^google.golang.org/genproto/googleapis/"
+          + "cloud/aiplatform/v1/schema/predict/predi"
+          + "ction;predictionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TabularRegressionPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Value", "LowerBound", "UpperBound",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResult.java
new file mode 100644
index 000000000..7f4ebd2fc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResult.java
@@ -0,0 +1,1848 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Text Extraction.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult}
+ */
+public final class TextExtractionPredictionResult extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult)
+    TextExtractionPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TextExtractionPredictionResult.newBuilder() to construct.
+  private TextExtractionPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TextExtractionPredictionResult() {
+    ids_ = emptyLongList();
+    displayNames_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    textSegmentStartOffsets_ = emptyLongList();
+    textSegmentEndOffsets_ = emptyLongList();
+    confidences_ = emptyFloatList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TextExtractionPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TextExtractionPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                ids_ = newLongList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              ids_.addLong(input.readInt64());
+              break;
+            }
+          case 10:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000001) != 0) && input.getBytesUntilLimit() > 0) {
+                ids_ = newLongList();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                ids_.addLong(input.readInt64());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                displayNames_ = new com.google.protobuf.LazyStringArrayList();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              displayNames_.add(s);
+              break;
+            }
+          case 24:
+            {
+              if (!((mutable_bitField0_ & 0x00000004) != 0)) {
+                textSegmentStartOffsets_ = newLongList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              textSegmentStartOffsets_.addLong(input.readInt64());
+              break;
+            }
+          case 26:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000004) != 0) && input.getBytesUntilLimit() > 0) {
+                textSegmentStartOffsets_ = newLongList();
+                mutable_bitField0_ |= 0x00000004;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                textSegmentStartOffsets_.addLong(input.readInt64());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          case 32:
+            {
+              if (!((mutable_bitField0_ & 0x00000008) != 0)) {
+                textSegmentEndOffsets_ = newLongList();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              textSegmentEndOffsets_.addLong(input.readInt64());
+              break;
+            }
+          case 34:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000008) != 0) && input.getBytesUntilLimit() > 0) {
+                textSegmentEndOffsets_ = newLongList();
+                mutable_bitField0_ |= 0x00000008;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                textSegmentEndOffsets_.addLong(input.readInt64());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          case 45:
+            {
+              if (!((mutable_bitField0_ & 0x00000010) != 0)) {
+                confidences_ = newFloatList();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              confidences_.addFloat(input.readFloat());
+              break;
+            }
+          case 42:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000010) != 0) && input.getBytesUntilLimit() > 0) {
+                confidences_ = newFloatList();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                confidences_.addFloat(input.readFloat());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        ids_.makeImmutable(); // C
+      }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        displayNames_ = displayNames_.getUnmodifiableView();
+      }
+      if (((mutable_bitField0_ & 0x00000004) != 0)) {
+        textSegmentStartOffsets_.makeImmutable(); // C
+      }
+      if (((mutable_bitField0_ & 0x00000008) != 0)) {
+        textSegmentEndOffsets_.makeImmutable(); // C
+      }
+      if (((mutable_bitField0_ & 0x00000010) != 0)) {
+        confidences_.makeImmutable(); // C
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .TextExtractionPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .TextExtractionPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+                .class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+                .Builder.class);
+  }
+
+  public static final int IDS_FIELD_NUMBER = 1;
+  private com.google.protobuf.Internal.LongList ids_;
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified,
+   * ordered by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return A list containing the ids.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Long> getIdsList() {
+    return ids_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified,
+   * ordered by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return The count of ids.
+   */
+  public int getIdsCount() {
+    return ids_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified,
+   * ordered by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The ids at the given index.
+   */
+  public long getIds(int index) {
+    return ids_.getLong(index);
+  }
+
+  private int idsMemoizedSerializedSize = -1;
+
+  public static final int DISPLAY_NAMES_FIELD_NUMBER = 2;
+  private com.google.protobuf.LazyStringList displayNames_;
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified,
+   * order matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return A list containing the displayNames.
+   */
+  public com.google.protobuf.ProtocolStringList getDisplayNamesList() {
+    return displayNames_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified,
+   * order matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return The count of displayNames.
+   */
+  public int getDisplayNamesCount() {
+    return displayNames_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified,
+   * order matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The displayNames at the given index.
+   */
+  public java.lang.String getDisplayNames(int index) {
+    return displayNames_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified,
+   * order matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the displayNames at the given index.
+   */
+  public com.google.protobuf.ByteString getDisplayNamesBytes(int index) {
+    return displayNames_.getByteString(index);
+  }
+
+  public static final int TEXT_SEGMENT_START_OFFSETS_FIELD_NUMBER = 3;
+  private com.google.protobuf.Internal.LongList textSegmentStartOffsets_;
+  /**
+   *
+   *
+   * <pre>
+   * The start offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_start_offsets = 3;</code>
+   *
+   * @return A list containing the textSegmentStartOffsets.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Long> getTextSegmentStartOffsetsList() {
+    return textSegmentStartOffsets_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The start offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_start_offsets = 3;</code>
+   *
+   * @return The count of textSegmentStartOffsets.
+   */
+  public int getTextSegmentStartOffsetsCount() {
+    return textSegmentStartOffsets_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The start offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_start_offsets = 3;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The textSegmentStartOffsets at the given index.
+   */
+  public long getTextSegmentStartOffsets(int index) {
+    return textSegmentStartOffsets_.getLong(index);
+  }
+
+  private int textSegmentStartOffsetsMemoizedSerializedSize = -1;
+
+  public static final int TEXT_SEGMENT_END_OFFSETS_FIELD_NUMBER = 4;
+  private com.google.protobuf.Internal.LongList textSegmentEndOffsets_;
+  /**
+   *
+   *
+   * <pre>
+   * The end offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_end_offsets = 4;</code>
+   *
+   * @return A list containing the textSegmentEndOffsets.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Long> getTextSegmentEndOffsetsList() {
+    return textSegmentEndOffsets_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_end_offsets = 4;</code>
+   *
+   * @return The count of textSegmentEndOffsets.
+   */
+  public int getTextSegmentEndOffsetsCount() {
+    return textSegmentEndOffsets_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_end_offsets = 4;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The textSegmentEndOffsets at the given index.
+   */
+  public long getTextSegmentEndOffsets(int index) {
+    return textSegmentEndOffsets_.getLong(index);
+  }
+
+  private int textSegmentEndOffsetsMemoizedSerializedSize = -1;
+
+  public static final int CONFIDENCES_FIELD_NUMBER = 5;
+  private com.google.protobuf.Internal.FloatList confidences_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher
+   * value means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 5;</code>
+   *
+   * @return A list containing the confidences.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Float> getConfidencesList() {
+    return confidences_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher
+   * value means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 5;</code>
+   *
+   * @return The count of confidences.
+   */
+  public int getConfidencesCount() {
+    return confidences_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher
+   * value means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 5;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The confidences at the given index.
+   */
+  public float getConfidences(int index) {
+    return confidences_.getFloat(index);
+  }
+
+  private int confidencesMemoizedSerializedSize = -1;
+
+  private byte memoizedIsInitialized = -1;
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+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    getSerializedSize();
+    if (getIdsList().size() > 0) {
+      output.writeUInt32NoTag(10);
+      output.writeUInt32NoTag(idsMemoizedSerializedSize);
+    }
+    for (int i = 0; i < ids_.size(); i++) {
+      output.writeInt64NoTag(ids_.getLong(i));
+    }
+    for (int i = 0; i < displayNames_.size(); i++) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayNames_.getRaw(i));
+    }
+    if (getTextSegmentStartOffsetsList().size() > 0) {
+      output.writeUInt32NoTag(26);
+      output.writeUInt32NoTag(textSegmentStartOffsetsMemoizedSerializedSize);
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+    for (int i = 0; i < textSegmentStartOffsets_.size(); i++) {
+      output.writeInt64NoTag(textSegmentStartOffsets_.getLong(i));
+    }
+    if (getTextSegmentEndOffsetsList().size() > 0) {
+      output.writeUInt32NoTag(34);
+      output.writeUInt32NoTag(textSegmentEndOffsetsMemoizedSerializedSize);
+    }
+    for (int i = 0; i < textSegmentEndOffsets_.size(); i++) {
+      output.writeInt64NoTag(textSegmentEndOffsets_.getLong(i));
+    }
+    if (getConfidencesList().size() > 0) {
+      output.writeUInt32NoTag(42);
+      output.writeUInt32NoTag(confidencesMemoizedSerializedSize);
+    }
+    for (int i = 0; i < confidences_.size(); i++) {
+      output.writeFloatNoTag(confidences_.getFloat(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    {
+      int dataSize = 0;
+      for (int i = 0; i < ids_.size(); i++) {
+        dataSize += com.google.protobuf.CodedOutputStream.computeInt64SizeNoTag(ids_.getLong(i));
+      }
+      size += dataSize;
+      if (!getIdsList().isEmpty()) {
+        size += 1;
+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      idsMemoizedSerializedSize = dataSize;
+    }
+    {
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+        dataSize += computeStringSizeNoTag(displayNames_.getRaw(i));
+      }
+      size += dataSize;
+      size += 1 * getDisplayNamesList().size();
+    }
+    {
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+      for (int i = 0; i < textSegmentStartOffsets_.size(); i++) {
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+            com.google.protobuf.CodedOutputStream.computeInt64SizeNoTag(
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+      size += dataSize;
+      if (!getTextSegmentStartOffsetsList().isEmpty()) {
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+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      textSegmentStartOffsetsMemoizedSerializedSize = dataSize;
+    }
+    {
+      int dataSize = 0;
+      for (int i = 0; i < textSegmentEndOffsets_.size(); i++) {
+        dataSize +=
+            com.google.protobuf.CodedOutputStream.computeInt64SizeNoTag(
+                textSegmentEndOffsets_.getLong(i));
+      }
+      size += dataSize;
+      if (!getTextSegmentEndOffsetsList().isEmpty()) {
+        size += 1;
+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      textSegmentEndOffsetsMemoizedSerializedSize = dataSize;
+    }
+    {
+      int dataSize = 0;
+      dataSize = 4 * getConfidencesList().size();
+      size += dataSize;
+      if (!getConfidencesList().isEmpty()) {
+        size += 1;
+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      confidencesMemoizedSerializedSize = dataSize;
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult other =
+        (com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult)
+            obj;
+
+    if (!getIdsList().equals(other.getIdsList())) return false;
+    if (!getDisplayNamesList().equals(other.getDisplayNamesList())) return false;
+    if (!getTextSegmentStartOffsetsList().equals(other.getTextSegmentStartOffsetsList()))
+      return false;
+    if (!getTextSegmentEndOffsetsList().equals(other.getTextSegmentEndOffsetsList())) return false;
+    if (!getConfidencesList().equals(other.getConfidencesList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (getIdsCount() > 0) {
+      hash = (37 * hash) + IDS_FIELD_NUMBER;
+      hash = (53 * hash) + getIdsList().hashCode();
+    }
+    if (getDisplayNamesCount() > 0) {
+      hash = (37 * hash) + DISPLAY_NAMES_FIELD_NUMBER;
+      hash = (53 * hash) + getDisplayNamesList().hashCode();
+    }
+    if (getTextSegmentStartOffsetsCount() > 0) {
+      hash = (37 * hash) + TEXT_SEGMENT_START_OFFSETS_FIELD_NUMBER;
+      hash = (53 * hash) + getTextSegmentStartOffsetsList().hashCode();
+    }
+    if (getTextSegmentEndOffsetsCount() > 0) {
+      hash = (37 * hash) + TEXT_SEGMENT_END_OFFSETS_FIELD_NUMBER;
+      hash = (53 * hash) + getTextSegmentEndOffsetsList().hashCode();
+    }
+    if (getConfidencesCount() > 0) {
+      hash = (37 * hash) + CONFIDENCES_FIELD_NUMBER;
+      hash = (53 * hash) + getConfidencesList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction output format for Text Extraction.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult)
+      com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResultOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TextExtractionPredictionResult.class,
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TextExtractionPredictionResult.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      ids_ = emptyLongList();
+      bitField0_ = (bitField0_ & ~0x00000001);
+      displayNames_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      textSegmentStartOffsets_ = emptyLongList();
+      bitField0_ = (bitField0_ & ~0x00000004);
+      textSegmentEndOffsets_ = emptyLongList();
+      bitField0_ = (bitField0_ & ~0x00000008);
+      confidences_ = emptyFloatList();
+      bitField0_ = (bitField0_ & ~0x00000010);
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TextExtractionPredictionResult(this);
+      int from_bitField0_ = bitField0_;
+      if (((bitField0_ & 0x00000001) != 0)) {
+        ids_.makeImmutable();
+        bitField0_ = (bitField0_ & ~0x00000001);
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+      if (((bitField0_ & 0x00000002) != 0)) {
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+        bitField0_ = (bitField0_ & ~0x00000008);
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+      if (((bitField0_ & 0x00000010) != 0)) {
+        confidences_.makeImmutable();
+        bitField0_ = (bitField0_ & ~0x00000010);
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+      result.confidences_ = confidences_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
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+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .TextExtractionPredictionResult)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+              .getDefaultInstance()) return this;
+      if (!other.ids_.isEmpty()) {
+        if (ids_.isEmpty()) {
+          ids_ = other.ids_;
+          bitField0_ = (bitField0_ & ~0x00000001);
+        } else {
+          ensureIdsIsMutable();
+          ids_.addAll(other.ids_);
+        }
+        onChanged();
+      }
+      if (!other.displayNames_.isEmpty()) {
+        if (displayNames_.isEmpty()) {
+          displayNames_ = other.displayNames_;
+          bitField0_ = (bitField0_ & ~0x00000002);
+        } else {
+          ensureDisplayNamesIsMutable();
+          displayNames_.addAll(other.displayNames_);
+        }
+        onChanged();
+      }
+      if (!other.textSegmentStartOffsets_.isEmpty()) {
+        if (textSegmentStartOffsets_.isEmpty()) {
+          textSegmentStartOffsets_ = other.textSegmentStartOffsets_;
+          bitField0_ = (bitField0_ & ~0x00000004);
+        } else {
+          ensureTextSegmentStartOffsetsIsMutable();
+          textSegmentStartOffsets_.addAll(other.textSegmentStartOffsets_);
+        }
+        onChanged();
+      }
+      if (!other.textSegmentEndOffsets_.isEmpty()) {
+        if (textSegmentEndOffsets_.isEmpty()) {
+          textSegmentEndOffsets_ = other.textSegmentEndOffsets_;
+          bitField0_ = (bitField0_ & ~0x00000008);
+        } else {
+          ensureTextSegmentEndOffsetsIsMutable();
+          textSegmentEndOffsets_.addAll(other.textSegmentEndOffsets_);
+        }
+        onChanged();
+      }
+      if (!other.confidences_.isEmpty()) {
+        if (confidences_.isEmpty()) {
+          confidences_ = other.confidences_;
+          bitField0_ = (bitField0_ & ~0x00000010);
+        } else {
+          ensureConfidencesIsMutable();
+          confidences_.addAll(other.confidences_);
+        }
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .TextExtractionPredictionResult)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.Internal.LongList ids_ = emptyLongList();
+
+    private void ensureIdsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        ids_ = mutableCopy(ids_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified,
+     * ordered by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @return A list containing the ids.
+     */
+    public java.util.List<java.lang.Long> getIdsList() {
+      return ((bitField0_ & 0x00000001) != 0) ? java.util.Collections.unmodifiableList(ids_) : ids_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified,
+     * ordered by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @return The count of ids.
+     */
+    public int getIdsCount() {
+      return ids_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified,
+     * ordered by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The ids at the given index.
+     */
+    public long getIds(int index) {
+      return ids_.getLong(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified,
+     * ordered by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The ids to set.
+     * @return This builder for chaining.
+     */
+    public Builder setIds(int index, long value) {
+      ensureIdsIsMutable();
+      ids_.setLong(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified,
+     * ordered by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @param value The ids to add.
+     * @return This builder for chaining.
+     */
+    public Builder addIds(long value) {
+      ensureIdsIsMutable();
+      ids_.addLong(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified,
+     * ordered by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @param values The ids to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllIds(java.lang.Iterable<? extends java.lang.Long> values) {
+      ensureIdsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, ids_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource IDs of the AnnotationSpecs that had been identified,
+     * ordered by the confidence score descendingly.
+     * </pre>
+     *
+     * <code>repeated int64 ids = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearIds() {
+      ids_ = emptyLongList();
+      bitField0_ = (bitField0_ & ~0x00000001);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.LazyStringList displayNames_ =
+        com.google.protobuf.LazyStringArrayList.EMPTY;
+
+    private void ensureDisplayNamesIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        displayNames_ = new com.google.protobuf.LazyStringArrayList(displayNames_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @return A list containing the displayNames.
+     */
+    public com.google.protobuf.ProtocolStringList getDisplayNamesList() {
+      return displayNames_.getUnmodifiableView();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @return The count of displayNames.
+     */
+    public int getDisplayNamesCount() {
+      return displayNames_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The displayNames at the given index.
+     */
+    public java.lang.String getDisplayNames(int index) {
+      return displayNames_.get(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index of the value to return.
+     * @return The bytes of the displayNames at the given index.
+     */
+    public com.google.protobuf.ByteString getDisplayNamesBytes(int index) {
+      return displayNames_.getByteString(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The displayNames to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNames(int index, java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureDisplayNamesIsMutable();
+      displayNames_.set(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param value The displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addDisplayNames(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      ensureDisplayNamesIsMutable();
+      displayNames_.add(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param values The displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllDisplayNames(java.lang.Iterable<java.lang.String> values) {
+      ensureDisplayNamesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, displayNames_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayNames() {
+      displayNames_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+      bitField0_ = (bitField0_ & ~0x00000002);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display names of the AnnotationSpecs that had been identified,
+     * order matches the IDs.
+     * </pre>
+     *
+     * <code>repeated string display_names = 2;</code>
+     *
+     * @param value The bytes of the displayNames to add.
+     * @return This builder for chaining.
+     */
+    public Builder addDisplayNamesBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+      ensureDisplayNamesIsMutable();
+      displayNames_.add(value);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Internal.LongList textSegmentStartOffsets_ = emptyLongList();
+
+    private void ensureTextSegmentStartOffsetsIsMutable() {
+      if (!((bitField0_ & 0x00000004) != 0)) {
+        textSegmentStartOffsets_ = mutableCopy(textSegmentStartOffsets_);
+        bitField0_ |= 0x00000004;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The start offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_start_offsets = 3;</code>
+     *
+     * @return A list containing the textSegmentStartOffsets.
+     */
+    public java.util.List<java.lang.Long> getTextSegmentStartOffsetsList() {
+      return ((bitField0_ & 0x00000004) != 0)
+          ? java.util.Collections.unmodifiableList(textSegmentStartOffsets_)
+          : textSegmentStartOffsets_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The start offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_start_offsets = 3;</code>
+     *
+     * @return The count of textSegmentStartOffsets.
+     */
+    public int getTextSegmentStartOffsetsCount() {
+      return textSegmentStartOffsets_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The start offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_start_offsets = 3;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The textSegmentStartOffsets at the given index.
+     */
+    public long getTextSegmentStartOffsets(int index) {
+      return textSegmentStartOffsets_.getLong(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The start offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_start_offsets = 3;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The textSegmentStartOffsets to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTextSegmentStartOffsets(int index, long value) {
+      ensureTextSegmentStartOffsetsIsMutable();
+      textSegmentStartOffsets_.setLong(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The start offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_start_offsets = 3;</code>
+     *
+     * @param value The textSegmentStartOffsets to add.
+     * @return This builder for chaining.
+     */
+    public Builder addTextSegmentStartOffsets(long value) {
+      ensureTextSegmentStartOffsetsIsMutable();
+      textSegmentStartOffsets_.addLong(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The start offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_start_offsets = 3;</code>
+     *
+     * @param values The textSegmentStartOffsets to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllTextSegmentStartOffsets(
+        java.lang.Iterable<? extends java.lang.Long> values) {
+      ensureTextSegmentStartOffsetsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, textSegmentStartOffsets_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The start offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_start_offsets = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTextSegmentStartOffsets() {
+      textSegmentStartOffsets_ = emptyLongList();
+      bitField0_ = (bitField0_ & ~0x00000004);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Internal.LongList textSegmentEndOffsets_ = emptyLongList();
+
+    private void ensureTextSegmentEndOffsetsIsMutable() {
+      if (!((bitField0_ & 0x00000008) != 0)) {
+        textSegmentEndOffsets_ = mutableCopy(textSegmentEndOffsets_);
+        bitField0_ |= 0x00000008;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_end_offsets = 4;</code>
+     *
+     * @return A list containing the textSegmentEndOffsets.
+     */
+    public java.util.List<java.lang.Long> getTextSegmentEndOffsetsList() {
+      return ((bitField0_ & 0x00000008) != 0)
+          ? java.util.Collections.unmodifiableList(textSegmentEndOffsets_)
+          : textSegmentEndOffsets_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_end_offsets = 4;</code>
+     *
+     * @return The count of textSegmentEndOffsets.
+     */
+    public int getTextSegmentEndOffsetsCount() {
+      return textSegmentEndOffsets_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_end_offsets = 4;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The textSegmentEndOffsets at the given index.
+     */
+    public long getTextSegmentEndOffsets(int index) {
+      return textSegmentEndOffsets_.getLong(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_end_offsets = 4;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The textSegmentEndOffsets to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTextSegmentEndOffsets(int index, long value) {
+      ensureTextSegmentEndOffsetsIsMutable();
+      textSegmentEndOffsets_.setLong(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_end_offsets = 4;</code>
+     *
+     * @param value The textSegmentEndOffsets to add.
+     * @return This builder for chaining.
+     */
+    public Builder addTextSegmentEndOffsets(long value) {
+      ensureTextSegmentEndOffsetsIsMutable();
+      textSegmentEndOffsets_.addLong(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_end_offsets = 4;</code>
+     *
+     * @param values The textSegmentEndOffsets to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllTextSegmentEndOffsets(
+        java.lang.Iterable<? extends java.lang.Long> values) {
+      ensureTextSegmentEndOffsetsIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, textSegmentEndOffsets_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end offsets, inclusive, of the text segment in which the
+     * AnnotationSpec has been identified. Expressed as a zero-based number
+     * of characters as measured from the start of the text snippet.
+     * </pre>
+     *
+     * <code>repeated int64 text_segment_end_offsets = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTextSegmentEndOffsets() {
+      textSegmentEndOffsets_ = emptyLongList();
+      bitField0_ = (bitField0_ & ~0x00000008);
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Internal.FloatList confidences_ = emptyFloatList();
+
+    private void ensureConfidencesIsMutable() {
+      if (!((bitField0_ & 0x00000010) != 0)) {
+        confidences_ = mutableCopy(confidences_);
+        bitField0_ |= 0x00000010;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher
+     * value means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 5;</code>
+     *
+     * @return A list containing the confidences.
+     */
+    public java.util.List<java.lang.Float> getConfidencesList() {
+      return ((bitField0_ & 0x00000010) != 0)
+          ? java.util.Collections.unmodifiableList(confidences_)
+          : confidences_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher
+     * value means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 5;</code>
+     *
+     * @return The count of confidences.
+     */
+    public int getConfidencesCount() {
+      return confidences_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher
+     * value means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 5;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The confidences at the given index.
+     */
+    public float getConfidences(int index) {
+      return confidences_.getFloat(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher
+     * value means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 5;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The confidences to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidences(int index, float value) {
+      ensureConfidencesIsMutable();
+      confidences_.setFloat(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher
+     * value means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 5;</code>
+     *
+     * @param value The confidences to add.
+     * @return This builder for chaining.
+     */
+    public Builder addConfidences(float value) {
+      ensureConfidencesIsMutable();
+      confidences_.addFloat(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher
+     * value means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 5;</code>
+     *
+     * @param values The confidences to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllConfidences(java.lang.Iterable<? extends java.lang.Float> values) {
+      ensureConfidencesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidences_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidences in correctness of the predicted IDs, higher
+     * value means higher confidence. Order matches the Ids.
+     * </pre>
+     *
+     * <code>repeated float confidences = 5;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearConfidences() {
+      confidences_ = emptyFloatList();
+      bitField0_ = (bitField0_ & ~0x00000010);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TextExtractionPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextExtractionPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TextExtractionPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<TextExtractionPredictionResult>() {
+        @java.lang.Override
+        public TextExtractionPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TextExtractionPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TextExtractionPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TextExtractionPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResultOrBuilder.java
new file mode 100644
index 000000000..c08d061f9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResultOrBuilder.java
@@ -0,0 +1,250 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface TextExtractionPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.TextExtractionPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified,
+   * ordered by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return A list containing the ids.
+   */
+  java.util.List<java.lang.Long> getIdsList();
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified,
+   * ordered by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @return The count of ids.
+   */
+  int getIdsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The resource IDs of the AnnotationSpecs that had been identified,
+   * ordered by the confidence score descendingly.
+   * </pre>
+   *
+   * <code>repeated int64 ids = 1;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The ids at the given index.
+   */
+  long getIds(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified,
+   * order matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return A list containing the displayNames.
+   */
+  java.util.List<java.lang.String> getDisplayNamesList();
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified,
+   * order matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @return The count of displayNames.
+   */
+  int getDisplayNamesCount();
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified,
+   * order matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The displayNames at the given index.
+   */
+  java.lang.String getDisplayNames(int index);
+  /**
+   *
+   *
+   * <pre>
+   * The display names of the AnnotationSpecs that had been identified,
+   * order matches the IDs.
+   * </pre>
+   *
+   * <code>repeated string display_names = 2;</code>
+   *
+   * @param index The index of the value to return.
+   * @return The bytes of the displayNames at the given index.
+   */
+  com.google.protobuf.ByteString getDisplayNamesBytes(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The start offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_start_offsets = 3;</code>
+   *
+   * @return A list containing the textSegmentStartOffsets.
+   */
+  java.util.List<java.lang.Long> getTextSegmentStartOffsetsList();
+  /**
+   *
+   *
+   * <pre>
+   * The start offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_start_offsets = 3;</code>
+   *
+   * @return The count of textSegmentStartOffsets.
+   */
+  int getTextSegmentStartOffsetsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The start offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_start_offsets = 3;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The textSegmentStartOffsets at the given index.
+   */
+  long getTextSegmentStartOffsets(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The end offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_end_offsets = 4;</code>
+   *
+   * @return A list containing the textSegmentEndOffsets.
+   */
+  java.util.List<java.lang.Long> getTextSegmentEndOffsetsList();
+  /**
+   *
+   *
+   * <pre>
+   * The end offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_end_offsets = 4;</code>
+   *
+   * @return The count of textSegmentEndOffsets.
+   */
+  int getTextSegmentEndOffsetsCount();
+  /**
+   *
+   *
+   * <pre>
+   * The end offsets, inclusive, of the text segment in which the
+   * AnnotationSpec has been identified. Expressed as a zero-based number
+   * of characters as measured from the start of the text snippet.
+   * </pre>
+   *
+   * <code>repeated int64 text_segment_end_offsets = 4;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The textSegmentEndOffsets at the given index.
+   */
+  long getTextSegmentEndOffsets(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher
+   * value means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 5;</code>
+   *
+   * @return A list containing the confidences.
+   */
+  java.util.List<java.lang.Float> getConfidencesList();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher
+   * value means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 5;</code>
+   *
+   * @return The count of confidences.
+   */
+  int getConfidencesCount();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidences in correctness of the predicted IDs, higher
+   * value means higher confidence. Order matches the Ids.
+   * </pre>
+   *
+   * <code>repeated float confidences = 5;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The confidences at the given index.
+   */
+  float getConfidences(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResultProto.java
new file mode 100644
index 000000000..546d8be44
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextExtractionPredictionResultProto.java
@@ -0,0 +1,80 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class TextExtractionPredictionResultProto {
+  private TextExtractionPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nJgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/text_extraction.proto\0224go"
+          + "ogle.cloud.aiplatform.v1.schema.predict."
+          + "prediction\032\034google/api/annotations.proto"
+          + "\"\237\001\n\036TextExtractionPredictionResult\022\013\n\003i"
+          + "ds\030\001 \003(\003\022\025\n\rdisplay_names\030\002 \003(\t\022\"\n\032text_"
+          + "segment_start_offsets\030\003 \003(\003\022 \n\030text_segm"
+          + "ent_end_offsets\030\004 \003(\003\022\023\n\013confidences\030\005 \003"
+          + "(\002B\301\001\n8com.google.cloud.aiplatform.v1.sc"
+          + "hema.predict.predictionB#TextExtractionP"
+          + "redictionResultProtoP\001Z^google.golang.or"
+          + "g/genproto/googleapis/cloud/aiplatform/v"
+          + "1/schema/predict/prediction;predictionb\006"
+          + "proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextExtractionPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Ids",
+              "DisplayNames",
+              "TextSegmentStartOffsets",
+              "TextSegmentEndOffsets",
+              "Confidences",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResult.java
new file mode 100644
index 000000000..c5cb57099
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResult.java
@@ -0,0 +1,621 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Text Sentiment
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult}
+ */
+public final class TextSentimentPredictionResult extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)
+    TextSentimentPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use TextSentimentPredictionResult.newBuilder() to construct.
+  private TextSentimentPredictionResult(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private TextSentimentPredictionResult() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new TextSentimentPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private TextSentimentPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              sentiment_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .TextSentimentPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .TextSentimentPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+                .class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+                .Builder.class);
+  }
+
+  public static final int SENTIMENT_FIELD_NUMBER = 1;
+  private int sentiment_;
+  /**
+   *
+   *
+   * <pre>
+   * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+   * (inclusive), while 0 maps to the least positive sentiment and
+   * sentimentMax maps to the most positive one. The higher the score is, the
+   * more positive the sentiment in the text snippet is. Note: sentimentMax is
+   * an integer value between 1 (inclusive) and 10 (inclusive).
+   * </pre>
+   *
+   * <code>int32 sentiment = 1;</code>
+   *
+   * @return The sentiment.
+   */
+  @java.lang.Override
+  public int getSentiment() {
+    return sentiment_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (sentiment_ != 0) {
+      output.writeInt32(1, sentiment_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (sentiment_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentiment_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult other =
+        (com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)
+            obj;
+
+    if (getSentiment() != other.getSentiment()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + SENTIMENT_FIELD_NUMBER;
+    hash = (53 * hash) + getSentiment();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction output format for Text Sentiment
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)
+      com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResultOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      sentiment_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .TextSentimentPredictionResult(this);
+      result.sentiment_ = sentiment_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+              .getDefaultInstance()) return this;
+      if (other.getSentiment() != 0) {
+        setSentiment(other.getSentiment());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int sentiment_;
+    /**
+     *
+     *
+     * <pre>
+     * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+     * (inclusive), while 0 maps to the least positive sentiment and
+     * sentimentMax maps to the most positive one. The higher the score is, the
+     * more positive the sentiment in the text snippet is. Note: sentimentMax is
+     * an integer value between 1 (inclusive) and 10 (inclusive).
+     * </pre>
+     *
+     * <code>int32 sentiment = 1;</code>
+     *
+     * @return The sentiment.
+     */
+    @java.lang.Override
+    public int getSentiment() {
+      return sentiment_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+     * (inclusive), while 0 maps to the least positive sentiment and
+     * sentimentMax maps to the most positive one. The higher the score is, the
+     * more positive the sentiment in the text snippet is. Note: sentimentMax is
+     * an integer value between 1 (inclusive) and 10 (inclusive).
+     * </pre>
+     *
+     * <code>int32 sentiment = 1;</code>
+     *
+     * @param value The sentiment to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSentiment(int value) {
+
+      sentiment_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+     * (inclusive), while 0 maps to the least positive sentiment and
+     * sentimentMax maps to the most positive one. The higher the score is, the
+     * more positive the sentiment in the text snippet is. Note: sentimentMax is
+     * an integer value between 1 (inclusive) and 10 (inclusive).
+     * </pre>
+     *
+     * <code>int32 sentiment = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSentiment() {
+
+      sentiment_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .TextSentimentPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .TextSentimentPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<TextSentimentPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<TextSentimentPredictionResult>() {
+        @java.lang.Override
+        public TextSentimentPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new TextSentimentPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<TextSentimentPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<TextSentimentPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java
new file mode 100644
index 000000000..a9699d80f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java
@@ -0,0 +1,42 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface TextSentimentPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.TextSentimentPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+   * (inclusive), while 0 maps to the least positive sentiment and
+   * sentimentMax maps to the most positive one. The higher the score is, the
+   * more positive the sentiment in the text snippet is. Note: sentimentMax is
+   * an integer value between 1 (inclusive) and 10 (inclusive).
+   * </pre>
+   *
+   * <code>int32 sentiment = 1;</code>
+   *
+   * @return The sentiment.
+   */
+  int getSentiment();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResultProto.java
new file mode 100644
index 000000000..e32494fe3
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/TextSentimentPredictionResultProto.java
@@ -0,0 +1,73 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class TextSentimentPredictionResultProto {
+  private TextSentimentPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nIgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/text_sentiment.proto\0224goo"
+          + "gle.cloud.aiplatform.v1.schema.predict.p"
+          + "rediction\032\034google/api/annotations.proto\""
+          + "2\n\035TextSentimentPredictionResult\022\021\n\tsent"
+          + "iment\030\001 \001(\005B\300\001\n8com.google.cloud.aiplatf"
+          + "orm.v1.schema.predict.predictionB\"TextSe"
+          + "ntimentPredictionResultProtoP\001Z^google.g"
+          + "olang.org/genproto/googleapis/cloud/aipl"
+          + "atform/v1/schema/predict/prediction;pred"
+          + "ictionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_TextSentimentPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Sentiment",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResult.java
new file mode 100644
index 000000000..6d180cb58
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResult.java
@@ -0,0 +1,1801 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Video Action Recognition.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.VideoActionRecognitionPredictionResult}
+ */
+public final class VideoActionRecognitionPredictionResult
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.VideoActionRecognitionPredictionResult)
+    VideoActionRecognitionPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoActionRecognitionPredictionResult.newBuilder() to construct.
+  private VideoActionRecognitionPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoActionRecognitionPredictionResult() {
+    id_ = "";
+    displayName_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoActionRecognitionPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoActionRecognitionPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              id_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.protobuf.Duration.Builder subBuilder = null;
+              if (timeSegmentStart_ != null) {
+                subBuilder = timeSegmentStart_.toBuilder();
+              }
+              timeSegmentStart_ =
+                  input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(timeSegmentStart_);
+                timeSegmentStart_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
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+          .VideoActionRecognitionPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
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+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
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+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+    return PARSER.parseFrom(data, extensionRegistry);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+          .VideoActionRecognitionPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+          .VideoActionRecognitionPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+          .VideoActionRecognitionPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      parseFrom(
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+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+  /**
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+   * </pre>
+   *
+   * Protobuf type {@code
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+          .VideoActionRecognitionPredictionResultProto
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+      if (confidenceBuilder_ == null) {
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+      } else {
+        result.confidence_ = confidenceBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoActionRecognitionPredictionResult) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoActionRecognitionPredictionResult)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoActionRecognitionPredictionResult
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoActionRecognitionPredictionResult.getDefaultInstance()) return this;
+      if (!other.getId().isEmpty()) {
+        id_ = other.id_;
+        onChanged();
+      }
+      if (!other.getDisplayName().isEmpty()) {
+        displayName_ = other.displayName_;
+        onChanged();
+      }
+      if (other.hasTimeSegmentStart()) {
+        mergeTimeSegmentStart(other.getTimeSegmentStart());
+      }
+      if (other.hasTimeSegmentEnd()) {
+        mergeTimeSegmentEnd(other.getTimeSegmentEnd());
+      }
+      if (other.hasConfidence()) {
+        mergeConfidence(other.getConfidence());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoActionRecognitionPredictionResult
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoActionRecognitionPredictionResult)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object id_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @return The id.
+     */
+    public java.lang.String getId() {
+      java.lang.Object ref = id_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        id_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @return The bytes for id.
+     */
+    public com.google.protobuf.ByteString getIdBytes() {
+      java.lang.Object ref = id_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        id_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @param value The id to set.
+     * @return This builder for chaining.
+     */
+    public Builder setId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      id_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearId() {
+
+      id_ = getDefaultInstance().getId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @param value The bytes for id to set.
+     * @return This builder for chaining.
+     */
+    public Builder setIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      id_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Duration timeSegmentStart_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        timeSegmentStartBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     *
+     * @return Whether the timeSegmentStart field is set.
+     */
+    public boolean hasTimeSegmentStart() {
+      return timeSegmentStartBuilder_ != null || timeSegmentStart_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     *
+     * @return The timeSegmentStart.
+     */
+    public com.google.protobuf.Duration getTimeSegmentStart() {
+      if (timeSegmentStartBuilder_ == null) {
+        return timeSegmentStart_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentStart_;
+      } else {
+        return timeSegmentStartBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public Builder setTimeSegmentStart(com.google.protobuf.Duration value) {
+      if (timeSegmentStartBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        timeSegmentStart_ = value;
+        onChanged();
+      } else {
+        timeSegmentStartBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public Builder setTimeSegmentStart(com.google.protobuf.Duration.Builder builderForValue) {
+      if (timeSegmentStartBuilder_ == null) {
+        timeSegmentStart_ = builderForValue.build();
+        onChanged();
+      } else {
+        timeSegmentStartBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public Builder mergeTimeSegmentStart(com.google.protobuf.Duration value) {
+      if (timeSegmentStartBuilder_ == null) {
+        if (timeSegmentStart_ != null) {
+          timeSegmentStart_ =
+              com.google.protobuf.Duration.newBuilder(timeSegmentStart_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          timeSegmentStart_ = value;
+        }
+        onChanged();
+      } else {
+        timeSegmentStartBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public Builder clearTimeSegmentStart() {
+      if (timeSegmentStartBuilder_ == null) {
+        timeSegmentStart_ = null;
+        onChanged();
+      } else {
+        timeSegmentStart_ = null;
+        timeSegmentStartBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public com.google.protobuf.Duration.Builder getTimeSegmentStartBuilder() {
+
+      onChanged();
+      return getTimeSegmentStartFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public com.google.protobuf.DurationOrBuilder getTimeSegmentStartOrBuilder() {
+      if (timeSegmentStartBuilder_ != null) {
+        return timeSegmentStartBuilder_.getMessageOrBuilder();
+      } else {
+        return timeSegmentStart_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentStart_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        getTimeSegmentStartFieldBuilder() {
+      if (timeSegmentStartBuilder_ == null) {
+        timeSegmentStartBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Duration,
+                com.google.protobuf.Duration.Builder,
+                com.google.protobuf.DurationOrBuilder>(
+                getTimeSegmentStart(), getParentForChildren(), isClean());
+        timeSegmentStart_ = null;
+      }
+      return timeSegmentStartBuilder_;
+    }
+
+    private com.google.protobuf.Duration timeSegmentEnd_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        timeSegmentEndBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     *
+     * @return Whether the timeSegmentEnd field is set.
+     */
+    public boolean hasTimeSegmentEnd() {
+      return timeSegmentEndBuilder_ != null || timeSegmentEnd_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     *
+     * @return The timeSegmentEnd.
+     */
+    public com.google.protobuf.Duration getTimeSegmentEnd() {
+      if (timeSegmentEndBuilder_ == null) {
+        return timeSegmentEnd_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentEnd_;
+      } else {
+        return timeSegmentEndBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public Builder setTimeSegmentEnd(com.google.protobuf.Duration value) {
+      if (timeSegmentEndBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        timeSegmentEnd_ = value;
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public Builder setTimeSegmentEnd(com.google.protobuf.Duration.Builder builderForValue) {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEnd_ = builderForValue.build();
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public Builder mergeTimeSegmentEnd(com.google.protobuf.Duration value) {
+      if (timeSegmentEndBuilder_ == null) {
+        if (timeSegmentEnd_ != null) {
+          timeSegmentEnd_ =
+              com.google.protobuf.Duration.newBuilder(timeSegmentEnd_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          timeSegmentEnd_ = value;
+        }
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public Builder clearTimeSegmentEnd() {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEnd_ = null;
+        onChanged();
+      } else {
+        timeSegmentEnd_ = null;
+        timeSegmentEndBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public com.google.protobuf.Duration.Builder getTimeSegmentEndBuilder() {
+
+      onChanged();
+      return getTimeSegmentEndFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public com.google.protobuf.DurationOrBuilder getTimeSegmentEndOrBuilder() {
+      if (timeSegmentEndBuilder_ != null) {
+        return timeSegmentEndBuilder_.getMessageOrBuilder();
+      } else {
+        return timeSegmentEnd_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentEnd_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        getTimeSegmentEndFieldBuilder() {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEndBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Duration,
+                com.google.protobuf.Duration.Builder,
+                com.google.protobuf.DurationOrBuilder>(
+                getTimeSegmentEnd(), getParentForChildren(), isClean());
+        timeSegmentEnd_ = null;
+      }
+      return timeSegmentEndBuilder_;
+    }
+
+    private com.google.protobuf.FloatValue confidence_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FloatValue,
+            com.google.protobuf.FloatValue.Builder,
+            com.google.protobuf.FloatValueOrBuilder>
+        confidenceBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     *
+     * @return Whether the confidence field is set.
+     */
+    public boolean hasConfidence() {
+      return confidenceBuilder_ != null || confidence_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     *
+     * @return The confidence.
+     */
+    public com.google.protobuf.FloatValue getConfidence() {
+      if (confidenceBuilder_ == null) {
+        return confidence_ == null
+            ? com.google.protobuf.FloatValue.getDefaultInstance()
+            : confidence_;
+      } else {
+        return confidenceBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public Builder setConfidence(com.google.protobuf.FloatValue value) {
+      if (confidenceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        confidence_ = value;
+        onChanged();
+      } else {
+        confidenceBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public Builder setConfidence(com.google.protobuf.FloatValue.Builder builderForValue) {
+      if (confidenceBuilder_ == null) {
+        confidence_ = builderForValue.build();
+        onChanged();
+      } else {
+        confidenceBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public Builder mergeConfidence(com.google.protobuf.FloatValue value) {
+      if (confidenceBuilder_ == null) {
+        if (confidence_ != null) {
+          confidence_ =
+              com.google.protobuf.FloatValue.newBuilder(confidence_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          confidence_ = value;
+        }
+        onChanged();
+      } else {
+        confidenceBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public Builder clearConfidence() {
+      if (confidenceBuilder_ == null) {
+        confidence_ = null;
+        onChanged();
+      } else {
+        confidence_ = null;
+        confidenceBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public com.google.protobuf.FloatValue.Builder getConfidenceBuilder() {
+
+      onChanged();
+      return getConfidenceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public com.google.protobuf.FloatValueOrBuilder getConfidenceOrBuilder() {
+      if (confidenceBuilder_ != null) {
+        return confidenceBuilder_.getMessageOrBuilder();
+      } else {
+        return confidence_ == null
+            ? com.google.protobuf.FloatValue.getDefaultInstance()
+            : confidence_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FloatValue,
+            com.google.protobuf.FloatValue.Builder,
+            com.google.protobuf.FloatValueOrBuilder>
+        getConfidenceFieldBuilder() {
+      if (confidenceBuilder_ == null) {
+        confidenceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FloatValue,
+                com.google.protobuf.FloatValue.Builder,
+                com.google.protobuf.FloatValueOrBuilder>(
+                getConfidence(), getParentForChildren(), isClean());
+        confidence_ = null;
+      }
+      return confidenceBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.VideoActionRecognitionPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.VideoActionRecognitionPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoActionRecognitionPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoActionRecognitionPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<VideoActionRecognitionPredictionResult>() {
+        @java.lang.Override
+        public VideoActionRecognitionPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoActionRecognitionPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoActionRecognitionPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoActionRecognitionPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoActionRecognitionPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResultOrBuilder.java
new file mode 100644
index 000000000..1522445bd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResultOrBuilder.java
@@ -0,0 +1,201 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface VideoActionRecognitionPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.VideoActionRecognitionPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The id.
+   */
+  java.lang.String getId();
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The bytes for id.
+   */
+  com.google.protobuf.ByteString getIdBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   *
+   * @return Whether the timeSegmentStart field is set.
+   */
+  boolean hasTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  com.google.protobuf.Duration getTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   */
+  com.google.protobuf.DurationOrBuilder getTimeSegmentStartOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   *
+   * @return Whether the timeSegmentEnd field is set.
+   */
+  boolean hasTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  com.google.protobuf.Duration getTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   */
+  com.google.protobuf.DurationOrBuilder getTimeSegmentEndOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   *
+   * @return Whether the confidence field is set.
+   */
+  boolean hasConfidence();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   *
+   * @return The confidence.
+   */
+  com.google.protobuf.FloatValue getConfidence();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   */
+  com.google.protobuf.FloatValueOrBuilder getConfidenceOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResultProto.java
new file mode 100644
index 000000000..87a7e6f90
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoActionRecognitionPredictionResultProto.java
@@ -0,0 +1,83 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class VideoActionRecognitionPredictionResultProto {
+  private VideoActionRecognitionPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoActionRecognitionPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoActionRecognitionPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nSgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/video_action_recognition."
+          + "proto\0224google.cloud.aiplatform.v1.schema"
+          + ".predict.prediction\032\036google/protobuf/dur"
+          + "ation.proto\032\036google/protobuf/wrappers.pr"
+          + "oto\032\034google/api/annotations.proto\"\347\001\n&Vi"
+          + "deoActionRecognitionPredictionResult\022\n\n\002"
+          + "id\030\001 \001(\t\022\024\n\014display_name\030\002 \001(\t\0225\n\022time_s"
+          + "egment_start\030\004 \001(\0132\031.google.protobuf.Dur"
+          + "ation\0223\n\020time_segment_end\030\005 \001(\0132\031.google"
+          + ".protobuf.Duration\022/\n\nconfidence\030\006 \001(\0132\033"
+          + ".google.protobuf.FloatValueB\311\001\n8com.goog"
+          + "le.cloud.aiplatform.v1.schema.predict.pr"
+          + "edictionB+VideoActionRecognitionPredicti"
+          + "onResultProtoP\001Z^google.golang.org/genpr"
+          + "oto/googleapis/cloud/aiplatform/v1/schem"
+          + "a/predict/prediction;predictionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.protobuf.DurationProto.getDescriptor(),
+              com.google.protobuf.WrappersProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoActionRecognitionPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoActionRecognitionPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoActionRecognitionPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Id", "DisplayName", "TimeSegmentStart", "TimeSegmentEnd", "Confidence",
+            });
+    com.google.protobuf.DurationProto.getDescriptor();
+    com.google.protobuf.WrappersProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResult.java
new file mode 100644
index 000000000..a9ec96573
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResult.java
@@ -0,0 +1,2075 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Video Classification.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult}
+ */
+public final class VideoClassificationPredictionResult
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult)
+    VideoClassificationPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoClassificationPredictionResult.newBuilder() to construct.
+  private VideoClassificationPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoClassificationPredictionResult() {
+    id_ = "";
+    displayName_ = "";
+    type_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoClassificationPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoClassificationPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              id_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              type_ = s;
+              break;
+            }
+          case 34:
+            {
+              com.google.protobuf.Duration.Builder subBuilder = null;
+              if (timeSegmentStart_ != null) {
+                subBuilder = timeSegmentStart_.toBuilder();
+              }
+              timeSegmentStart_ =
+                  input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(timeSegmentStart_);
+                timeSegmentStart_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 42:
+            {
+              com.google.protobuf.Duration.Builder subBuilder = null;
+              if (timeSegmentEnd_ != null) {
+                subBuilder = timeSegmentEnd_.toBuilder();
+              }
+              timeSegmentEnd_ =
+                  input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(timeSegmentEnd_);
+                timeSegmentEnd_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              com.google.protobuf.FloatValue.Builder subBuilder = null;
+              if (confidence_ != null) {
+                subBuilder = confidence_.toBuilder();
+              }
+              confidence_ =
+                  input.readMessage(com.google.protobuf.FloatValue.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(confidence_);
+                confidence_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .VideoClassificationPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .VideoClassificationPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoClassificationPredictionResult.class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoClassificationPredictionResult.Builder.class);
+  }
+
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+  private volatile java.lang.Object id_;
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The id.
+   */
+  @java.lang.Override
+  public java.lang.String getId() {
+    java.lang.Object ref = id_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      id_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The bytes for id.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getIdBytes() {
+    java.lang.Object ref = id_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
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+      id_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
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+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TYPE_FIELD_NUMBER = 3;
+  private volatile java.lang.Object type_;
+  /**
+   *
+   *
+   * <pre>
+   * The type of the prediction. The requested types can be configured
+   * via parameters. This will be one of
+   * - segment-classification
+   * - shot-classification
+   * - one-sec-interval-classification
+   * </pre>
+   *
+   * <code>string type = 3;</code>
+   *
+   * @return The type.
+   */
+  @java.lang.Override
+  public java.lang.String getType() {
+    java.lang.Object ref = type_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      type_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The type of the prediction. The requested types can be configured
+   * via parameters. This will be one of
+   * - segment-classification
+   * - shot-classification
+   * - one-sec-interval-classification
+   * </pre>
+   *
+   * <code>string type = 3;</code>
+   *
+   * @return The bytes for type.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTypeBytes() {
+    java.lang.Object ref = type_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      type_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TIME_SEGMENT_START_FIELD_NUMBER = 4;
+  private com.google.protobuf.Duration timeSegmentStart_;
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentStart' from the input instance, for other types it is the
+   * start of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   *
+   * @return Whether the timeSegmentStart field is set.
+   */
+  @java.lang.Override
+  public boolean hasTimeSegmentStart() {
+    return timeSegmentStart_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentStart' from the input instance, for other types it is the
+   * start of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Duration getTimeSegmentStart() {
+    return timeSegmentStart_ == null
+        ? com.google.protobuf.Duration.getDefaultInstance()
+        : timeSegmentStart_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentStart' from the input instance, for other types it is the
+   * start of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.DurationOrBuilder getTimeSegmentStartOrBuilder() {
+    return getTimeSegmentStart();
+  }
+
+  public static final int TIME_SEGMENT_END_FIELD_NUMBER = 5;
+  private com.google.protobuf.Duration timeSegmentEnd_;
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentEnd' from the input instance, for other types it is the end
+   * of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   *
+   * @return Whether the timeSegmentEnd field is set.
+   */
+  @java.lang.Override
+  public boolean hasTimeSegmentEnd() {
+    return timeSegmentEnd_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentEnd' from the input instance, for other types it is the end
+   * of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Duration getTimeSegmentEnd() {
+    return timeSegmentEnd_ == null
+        ? com.google.protobuf.Duration.getDefaultInstance()
+        : timeSegmentEnd_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentEnd' from the input instance, for other types it is the end
+   * of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.DurationOrBuilder getTimeSegmentEndOrBuilder() {
+    return getTimeSegmentEnd();
+  }
+
+  public static final int CONFIDENCE_FIELD_NUMBER = 6;
+  private com.google.protobuf.FloatValue confidence_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   *
+   * @return Whether the confidence field is set.
+   */
+  @java.lang.Override
+  public boolean hasConfidence() {
+    return confidence_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   *
+   * @return The confidence.
+   */
+  @java.lang.Override
+  public com.google.protobuf.FloatValue getConfidence() {
+    return confidence_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : confidence_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.FloatValueOrBuilder getConfidenceOrBuilder() {
+    return getConfidence();
+  }
+
+  private byte memoizedIsInitialized = -1;
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+  @java.lang.Override
+  public final boolean isInitialized() {
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+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
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+  public boolean equals(final java.lang.Object obj) {
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+    if (hasConfidence() != other.hasConfidence()) return false;
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+    hash = (53 * hash) + getDisplayName().hashCode();
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+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Prediction output format for Video Classification.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult)
+      com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResultOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+          .VideoClassificationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoClassificationPredictionResult.class,
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoClassificationPredictionResult.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
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+
+      displayName_ = "";
+
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+        timeSegmentEndBuilder_ = null;
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+      if (confidenceBuilder_ == null) {
+        confidence_ = null;
+      } else {
+        confidence_ = null;
+        confidenceBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoClassificationPredictionResult
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoClassificationPredictionResult
+        build() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoClassificationPredictionResult
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult
+          result =
+              new com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoClassificationPredictionResult(this);
+      result.id_ = id_;
+      result.displayName_ = displayName_;
+      result.type_ = type_;
+      if (timeSegmentStartBuilder_ == null) {
+        result.timeSegmentStart_ = timeSegmentStart_;
+      } else {
+        result.timeSegmentStart_ = timeSegmentStartBuilder_.build();
+      }
+      if (timeSegmentEndBuilder_ == null) {
+        result.timeSegmentEnd_ = timeSegmentEnd_;
+      } else {
+        result.timeSegmentEnd_ = timeSegmentEndBuilder_.build();
+      }
+      if (confidenceBuilder_ == null) {
+        result.confidence_ = confidence_;
+      } else {
+        result.confidence_ = confidenceBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoClassificationPredictionResult) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoClassificationPredictionResult)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoClassificationPredictionResult.getDefaultInstance()) return this;
+      if (!other.getId().isEmpty()) {
+        id_ = other.id_;
+        onChanged();
+      }
+      if (!other.getDisplayName().isEmpty()) {
+        displayName_ = other.displayName_;
+        onChanged();
+      }
+      if (!other.getType().isEmpty()) {
+        type_ = other.type_;
+        onChanged();
+      }
+      if (other.hasTimeSegmentStart()) {
+        mergeTimeSegmentStart(other.getTimeSegmentStart());
+      }
+      if (other.hasTimeSegmentEnd()) {
+        mergeTimeSegmentEnd(other.getTimeSegmentEnd());
+      }
+      if (other.hasConfidence()) {
+        mergeConfidence(other.getConfidence());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoClassificationPredictionResult)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object id_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @return The id.
+     */
+    public java.lang.String getId() {
+      java.lang.Object ref = id_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        id_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @return The bytes for id.
+     */
+    public com.google.protobuf.ByteString getIdBytes() {
+      java.lang.Object ref = id_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        id_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @param value The id to set.
+     * @return This builder for chaining.
+     */
+    public Builder setId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      id_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearId() {
+
+      id_ = getDefaultInstance().getId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The resource ID of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string id = 1;</code>
+     *
+     * @param value The bytes for id to set.
+     * @return This builder for chaining.
+     */
+    public Builder setIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      id_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object displayName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @return The displayName.
+     */
+    public java.lang.String getDisplayName() {
+      java.lang.Object ref = displayName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        displayName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @return The bytes for displayName.
+     */
+    public com.google.protobuf.ByteString getDisplayNameBytes() {
+      java.lang.Object ref = displayName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        displayName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @param value The displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisplayName() {
+
+      displayName_ = getDefaultInstance().getDisplayName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The display name of the AnnotationSpec that had been identified.
+     * </pre>
+     *
+     * <code>string display_name = 2;</code>
+     *
+     * @param value The bytes for displayName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisplayNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      displayName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object type_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The type of the prediction. The requested types can be configured
+     * via parameters. This will be one of
+     * - segment-classification
+     * - shot-classification
+     * - one-sec-interval-classification
+     * </pre>
+     *
+     * <code>string type = 3;</code>
+     *
+     * @return The type.
+     */
+    public java.lang.String getType() {
+      java.lang.Object ref = type_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        type_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The type of the prediction. The requested types can be configured
+     * via parameters. This will be one of
+     * - segment-classification
+     * - shot-classification
+     * - one-sec-interval-classification
+     * </pre>
+     *
+     * <code>string type = 3;</code>
+     *
+     * @return The bytes for type.
+     */
+    public com.google.protobuf.ByteString getTypeBytes() {
+      java.lang.Object ref = type_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        type_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The type of the prediction. The requested types can be configured
+     * via parameters. This will be one of
+     * - segment-classification
+     * - shot-classification
+     * - one-sec-interval-classification
+     * </pre>
+     *
+     * <code>string type = 3;</code>
+     *
+     * @param value The type to set.
+     * @return This builder for chaining.
+     */
+    public Builder setType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      type_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The type of the prediction. The requested types can be configured
+     * via parameters. This will be one of
+     * - segment-classification
+     * - shot-classification
+     * - one-sec-interval-classification
+     * </pre>
+     *
+     * <code>string type = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearType() {
+
+      type_ = getDefaultInstance().getType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The type of the prediction. The requested types can be configured
+     * via parameters. This will be one of
+     * - segment-classification
+     * - shot-classification
+     * - one-sec-interval-classification
+     * </pre>
+     *
+     * <code>string type = 3;</code>
+     *
+     * @param value The bytes for type to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      type_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.protobuf.Duration timeSegmentStart_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        timeSegmentStartBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     *
+     * @return Whether the timeSegmentStart field is set.
+     */
+    public boolean hasTimeSegmentStart() {
+      return timeSegmentStartBuilder_ != null || timeSegmentStart_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     *
+     * @return The timeSegmentStart.
+     */
+    public com.google.protobuf.Duration getTimeSegmentStart() {
+      if (timeSegmentStartBuilder_ == null) {
+        return timeSegmentStart_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentStart_;
+      } else {
+        return timeSegmentStartBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public Builder setTimeSegmentStart(com.google.protobuf.Duration value) {
+      if (timeSegmentStartBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        timeSegmentStart_ = value;
+        onChanged();
+      } else {
+        timeSegmentStartBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public Builder setTimeSegmentStart(com.google.protobuf.Duration.Builder builderForValue) {
+      if (timeSegmentStartBuilder_ == null) {
+        timeSegmentStart_ = builderForValue.build();
+        onChanged();
+      } else {
+        timeSegmentStartBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public Builder mergeTimeSegmentStart(com.google.protobuf.Duration value) {
+      if (timeSegmentStartBuilder_ == null) {
+        if (timeSegmentStart_ != null) {
+          timeSegmentStart_ =
+              com.google.protobuf.Duration.newBuilder(timeSegmentStart_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          timeSegmentStart_ = value;
+        }
+        onChanged();
+      } else {
+        timeSegmentStartBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public Builder clearTimeSegmentStart() {
+      if (timeSegmentStartBuilder_ == null) {
+        timeSegmentStart_ = null;
+        onChanged();
+      } else {
+        timeSegmentStart_ = null;
+        timeSegmentStartBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public com.google.protobuf.Duration.Builder getTimeSegmentStartBuilder() {
+
+      onChanged();
+      return getTimeSegmentStartFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    public com.google.protobuf.DurationOrBuilder getTimeSegmentStartOrBuilder() {
+      if (timeSegmentStartBuilder_ != null) {
+        return timeSegmentStartBuilder_.getMessageOrBuilder();
+      } else {
+        return timeSegmentStart_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentStart_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The beginning, inclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentStart' from the input instance, for other types it is the
+     * start of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        getTimeSegmentStartFieldBuilder() {
+      if (timeSegmentStartBuilder_ == null) {
+        timeSegmentStartBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Duration,
+                com.google.protobuf.Duration.Builder,
+                com.google.protobuf.DurationOrBuilder>(
+                getTimeSegmentStart(), getParentForChildren(), isClean());
+        timeSegmentStart_ = null;
+      }
+      return timeSegmentStartBuilder_;
+    }
+
+    private com.google.protobuf.Duration timeSegmentEnd_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        timeSegmentEndBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     *
+     * @return Whether the timeSegmentEnd field is set.
+     */
+    public boolean hasTimeSegmentEnd() {
+      return timeSegmentEndBuilder_ != null || timeSegmentEnd_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     *
+     * @return The timeSegmentEnd.
+     */
+    public com.google.protobuf.Duration getTimeSegmentEnd() {
+      if (timeSegmentEndBuilder_ == null) {
+        return timeSegmentEnd_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentEnd_;
+      } else {
+        return timeSegmentEndBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public Builder setTimeSegmentEnd(com.google.protobuf.Duration value) {
+      if (timeSegmentEndBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        timeSegmentEnd_ = value;
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public Builder setTimeSegmentEnd(com.google.protobuf.Duration.Builder builderForValue) {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEnd_ = builderForValue.build();
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public Builder mergeTimeSegmentEnd(com.google.protobuf.Duration value) {
+      if (timeSegmentEndBuilder_ == null) {
+        if (timeSegmentEnd_ != null) {
+          timeSegmentEnd_ =
+              com.google.protobuf.Duration.newBuilder(timeSegmentEnd_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          timeSegmentEnd_ = value;
+        }
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public Builder clearTimeSegmentEnd() {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEnd_ = null;
+        onChanged();
+      } else {
+        timeSegmentEnd_ = null;
+        timeSegmentEndBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public com.google.protobuf.Duration.Builder getTimeSegmentEndBuilder() {
+
+      onChanged();
+      return getTimeSegmentEndFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    public com.google.protobuf.DurationOrBuilder getTimeSegmentEndOrBuilder() {
+      if (timeSegmentEndBuilder_ != null) {
+        return timeSegmentEndBuilder_.getMessageOrBuilder();
+      } else {
+        return timeSegmentEnd_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentEnd_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, exclusive, of the video's time segment in which the
+     * AnnotationSpec has been identified. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end. Note that for
+     * 'segment-classification' prediction type, this equals the original
+     * 'timeSegmentEnd' from the input instance, for other types it is the end
+     * of a shot or a 1 second interval respectively.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        getTimeSegmentEndFieldBuilder() {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEndBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Duration,
+                com.google.protobuf.Duration.Builder,
+                com.google.protobuf.DurationOrBuilder>(
+                getTimeSegmentEnd(), getParentForChildren(), isClean());
+        timeSegmentEnd_ = null;
+      }
+      return timeSegmentEndBuilder_;
+    }
+
+    private com.google.protobuf.FloatValue confidence_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FloatValue,
+            com.google.protobuf.FloatValue.Builder,
+            com.google.protobuf.FloatValueOrBuilder>
+        confidenceBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     *
+     * @return Whether the confidence field is set.
+     */
+    public boolean hasConfidence() {
+      return confidenceBuilder_ != null || confidence_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     *
+     * @return The confidence.
+     */
+    public com.google.protobuf.FloatValue getConfidence() {
+      if (confidenceBuilder_ == null) {
+        return confidence_ == null
+            ? com.google.protobuf.FloatValue.getDefaultInstance()
+            : confidence_;
+      } else {
+        return confidenceBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public Builder setConfidence(com.google.protobuf.FloatValue value) {
+      if (confidenceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        confidence_ = value;
+        onChanged();
+      } else {
+        confidenceBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public Builder setConfidence(com.google.protobuf.FloatValue.Builder builderForValue) {
+      if (confidenceBuilder_ == null) {
+        confidence_ = builderForValue.build();
+        onChanged();
+      } else {
+        confidenceBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public Builder mergeConfidence(com.google.protobuf.FloatValue value) {
+      if (confidenceBuilder_ == null) {
+        if (confidence_ != null) {
+          confidence_ =
+              com.google.protobuf.FloatValue.newBuilder(confidence_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          confidence_ = value;
+        }
+        onChanged();
+      } else {
+        confidenceBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public Builder clearConfidence() {
+      if (confidenceBuilder_ == null) {
+        confidence_ = null;
+        onChanged();
+      } else {
+        confidence_ = null;
+        confidenceBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public com.google.protobuf.FloatValue.Builder getConfidenceBuilder() {
+
+      onChanged();
+      return getConfidenceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    public com.google.protobuf.FloatValueOrBuilder getConfidenceOrBuilder() {
+      if (confidenceBuilder_ != null) {
+        return confidenceBuilder_.getMessageOrBuilder();
+      } else {
+        return confidence_ == null
+            ? com.google.protobuf.FloatValue.getDefaultInstance()
+            : confidence_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 6;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FloatValue,
+            com.google.protobuf.FloatValue.Builder,
+            com.google.protobuf.FloatValueOrBuilder>
+        getConfidenceFieldBuilder() {
+      if (confidenceBuilder_ == null) {
+        confidenceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FloatValue,
+                com.google.protobuf.FloatValue.Builder,
+                com.google.protobuf.FloatValueOrBuilder>(
+                getConfidence(), getParentForChildren(), isClean());
+        confidence_ = null;
+      }
+      return confidenceBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoClassificationPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoClassificationPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<VideoClassificationPredictionResult>() {
+        @java.lang.Override
+        public VideoClassificationPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoClassificationPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoClassificationPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoClassificationPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoClassificationPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultOrBuilder.java
new file mode 100644
index 000000000..8b7e01111
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultOrBuilder.java
@@ -0,0 +1,252 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface VideoClassificationPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.VideoClassificationPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The id.
+   */
+  java.lang.String getId();
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The bytes for id.
+   */
+  com.google.protobuf.ByteString getIdBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The type of the prediction. The requested types can be configured
+   * via parameters. This will be one of
+   * - segment-classification
+   * - shot-classification
+   * - one-sec-interval-classification
+   * </pre>
+   *
+   * <code>string type = 3;</code>
+   *
+   * @return The type.
+   */
+  java.lang.String getType();
+  /**
+   *
+   *
+   * <pre>
+   * The type of the prediction. The requested types can be configured
+   * via parameters. This will be one of
+   * - segment-classification
+   * - shot-classification
+   * - one-sec-interval-classification
+   * </pre>
+   *
+   * <code>string type = 3;</code>
+   *
+   * @return The bytes for type.
+   */
+  com.google.protobuf.ByteString getTypeBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentStart' from the input instance, for other types it is the
+   * start of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   *
+   * @return Whether the timeSegmentStart field is set.
+   */
+  boolean hasTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentStart' from the input instance, for other types it is the
+   * start of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  com.google.protobuf.Duration getTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentStart' from the input instance, for other types it is the
+   * start of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 4;</code>
+   */
+  com.google.protobuf.DurationOrBuilder getTimeSegmentStartOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentEnd' from the input instance, for other types it is the end
+   * of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   *
+   * @return Whether the timeSegmentEnd field is set.
+   */
+  boolean hasTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentEnd' from the input instance, for other types it is the end
+   * of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  com.google.protobuf.Duration getTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, exclusive, of the video's time segment in which the
+   * AnnotationSpec has been identified. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end. Note that for
+   * 'segment-classification' prediction type, this equals the original
+   * 'timeSegmentEnd' from the input instance, for other types it is the end
+   * of a shot or a 1 second interval respectively.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 5;</code>
+   */
+  com.google.protobuf.DurationOrBuilder getTimeSegmentEndOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   *
+   * @return Whether the confidence field is set.
+   */
+  boolean hasConfidence();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   *
+   * @return The confidence.
+   */
+  com.google.protobuf.FloatValue getConfidence();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 6;</code>
+   */
+  com.google.protobuf.FloatValueOrBuilder getConfidenceOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultProto.java
new file mode 100644
index 000000000..50ca407b7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoClassificationPredictionResultProto.java
@@ -0,0 +1,84 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class VideoClassificationPredictionResultProto {
+  private VideoClassificationPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nOgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/video_classification.prot"
+          + "o\0224google.cloud.aiplatform.v1.schema.pre"
+          + "dict.prediction\032\036google/protobuf/duratio"
+          + "n.proto\032\036google/protobuf/wrappers.proto\032"
+          + "\034google/api/annotations.proto\"\362\001\n#VideoC"
+          + "lassificationPredictionResult\022\n\n\002id\030\001 \001("
+          + "\t\022\024\n\014display_name\030\002 \001(\t\022\014\n\004type\030\003 \001(\t\0225\n"
+          + "\022time_segment_start\030\004 \001(\0132\031.google.proto"
+          + "buf.Duration\0223\n\020time_segment_end\030\005 \001(\0132\031"
+          + ".google.protobuf.Duration\022/\n\nconfidence\030"
+          + "\006 \001(\0132\033.google.protobuf.FloatValueB\306\001\n8c"
+          + "om.google.cloud.aiplatform.v1.schema.pre"
+          + "dict.predictionB(VideoClassificationPred"
+          + "ictionResultProtoP\001Z^google.golang.org/g"
+          + "enproto/googleapis/cloud/aiplatform/v1/s"
+          + "chema/predict/prediction;predictionb\006pro"
+          + "to3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.protobuf.DurationProto.getDescriptor(),
+              com.google.protobuf.WrappersProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoClassificationPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Id", "DisplayName", "Type", "TimeSegmentStart", "TimeSegmentEnd", "Confidence",
+            });
+    com.google.protobuf.DurationProto.getDescriptor();
+    com.google.protobuf.WrappersProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResult.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResult.java
new file mode 100644
index 000000000..c3ee8c13d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResult.java
@@ -0,0 +1,4530 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+/**
+ *
+ *
+ * <pre>
+ * Prediction output format for Video Object Tracking.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult}
+ */
+public final class VideoObjectTrackingPredictionResult
+    extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult)
+    VideoObjectTrackingPredictionResultOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use VideoObjectTrackingPredictionResult.newBuilder() to construct.
+  private VideoObjectTrackingPredictionResult(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private VideoObjectTrackingPredictionResult() {
+    id_ = "";
+    displayName_ = "";
+    frames_ = java.util.Collections.emptyList();
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new VideoObjectTrackingPredictionResult();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private VideoObjectTrackingPredictionResult(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              id_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              displayName_ = s;
+              break;
+            }
+          case 26:
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+                subBuilder = timeSegmentStart_.toBuilder();
+              }
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+                  input.readMessage(com.google.protobuf.Duration.parser(), extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(timeSegmentStart_);
+                timeSegmentStart_ = subBuilder.buildPartial();
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+
+              break;
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+          case 34:
+            {
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+                subBuilder = timeSegmentEnd_.toBuilder();
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+              if (subBuilder != null) {
+                subBuilder.mergeFrom(timeSegmentEnd_);
+                timeSegmentEnd_ = subBuilder.buildPartial();
+              }
+
+              break;
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+          case 42:
+            {
+              com.google.protobuf.FloatValue.Builder subBuilder = null;
+              if (confidence_ != null) {
+                subBuilder = confidence_.toBuilder();
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+              confidence_ =
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+              if (subBuilder != null) {
+                subBuilder.mergeFrom(confidence_);
+                confidence_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 50:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                frames_ =
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+                        com.google.cloud.aiplatform.v1.schema.predict.prediction
+                            .VideoObjectTrackingPredictionResult.Frame>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              frames_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.predict.prediction
+                          .VideoObjectTrackingPredictionResult.Frame.parser(),
+                      extensionRegistry));
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        frames_ = java.util.Collections.unmodifiableList(frames_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .VideoObjectTrackingPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.predict.prediction
+        .VideoObjectTrackingPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
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+                .VideoObjectTrackingPredictionResult.class,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Builder.class);
+  }
+
+  public interface FrameOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * A time (frame) of a video in which the object has been detected.
+     * Expressed as a number of seconds as measured from the
+     * start of the video, with fractions up to a microsecond precision, and
+     * with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_offset = 1;</code>
+     *
+     * @return Whether the timeOffset field is set.
+     */
+    boolean hasTimeOffset();
+    /**
+     *
+     *
+     * <pre>
+     * A time (frame) of a video in which the object has been detected.
+     * Expressed as a number of seconds as measured from the
+     * start of the video, with fractions up to a microsecond precision, and
+     * with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_offset = 1;</code>
+     *
+     * @return The timeOffset.
+     */
+    com.google.protobuf.Duration getTimeOffset();
+    /**
+     *
+     *
+     * <pre>
+     * A time (frame) of a video in which the object has been detected.
+     * Expressed as a number of seconds as measured from the
+     * start of the video, with fractions up to a microsecond precision, and
+     * with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_offset = 1;</code>
+     */
+    com.google.protobuf.DurationOrBuilder getTimeOffsetOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The leftmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_min = 2;</code>
+     *
+     * @return Whether the xMin field is set.
+     */
+    boolean hasXMin();
+    /**
+     *
+     *
+     * <pre>
+     * The leftmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_min = 2;</code>
+     *
+     * @return The xMin.
+     */
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+     *
+     *
+     * <pre>
+     * The leftmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_min = 2;</code>
+     */
+    com.google.protobuf.FloatValueOrBuilder getXMinOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The rightmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_max = 3;</code>
+     *
+     * @return Whether the xMax field is set.
+     */
+    boolean hasXMax();
+    /**
+     *
+     *
+     * <pre>
+     * The rightmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_max = 3;</code>
+     *
+     * @return The xMax.
+     */
+    com.google.protobuf.FloatValue getXMax();
+    /**
+     *
+     *
+     * <pre>
+     * The rightmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_max = 3;</code>
+     */
+    com.google.protobuf.FloatValueOrBuilder getXMaxOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The topmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_min = 4;</code>
+     *
+     * @return Whether the yMin field is set.
+     */
+    boolean hasYMin();
+    /**
+     *
+     *
+     * <pre>
+     * The topmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_min = 4;</code>
+     *
+     * @return The yMin.
+     */
+    com.google.protobuf.FloatValue getYMin();
+    /**
+     *
+     *
+     * <pre>
+     * The topmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_min = 4;</code>
+     */
+    com.google.protobuf.FloatValueOrBuilder getYMinOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * The bottommost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_max = 5;</code>
+     *
+     * @return Whether the yMax field is set.
+     */
+    boolean hasYMax();
+    /**
+     *
+     *
+     * <pre>
+     * The bottommost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_max = 5;</code>
+     *
+     * @return The yMax.
+     */
+    com.google.protobuf.FloatValue getYMax();
+    /**
+     *
+     *
+     * <pre>
+     * The bottommost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_max = 5;</code>
+     */
+    com.google.protobuf.FloatValueOrBuilder getYMaxOrBuilder();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The fields `xMin`, `xMax`, `yMin`, and `yMax` refer to a bounding box,
+   * i.e. the rectangle over the video frame pinpointing the found
+   * AnnotationSpec. The coordinates are relative to the frame size, and the
+   * point 0,0 is in the top left of the frame.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame}
+   */
+  public static final class Frame extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame)
+      FrameOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use Frame.newBuilder() to construct.
+    private Frame(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private Frame() {}
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new Frame();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private Frame(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+              break;
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+        throw e.setUnfinishedMessage(this);
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+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
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+        this.unknownFields = unknownFields.build();
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+      }
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+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResultProto
+          .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_fieldAccessorTable
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+                  .VideoObjectTrackingPredictionResult.Frame.class,
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoObjectTrackingPredictionResult.Frame.Builder.class);
+    }
+
+    public static final int TIME_OFFSET_FIELD_NUMBER = 1;
+    private com.google.protobuf.Duration timeOffset_;
+    /**
+     *
+     *
+     * <pre>
+     * A time (frame) of a video in which the object has been detected.
+     * Expressed as a number of seconds as measured from the
+     * start of the video, with fractions up to a microsecond precision, and
+     * with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_offset = 1;</code>
+     *
+     * @return Whether the timeOffset field is set.
+     */
+    @java.lang.Override
+    public boolean hasTimeOffset() {
+      return timeOffset_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A time (frame) of a video in which the object has been detected.
+     * Expressed as a number of seconds as measured from the
+     * start of the video, with fractions up to a microsecond precision, and
+     * with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_offset = 1;</code>
+     *
+     * @return The timeOffset.
+     */
+    @java.lang.Override
+    public com.google.protobuf.Duration getTimeOffset() {
+      return timeOffset_ == null ? com.google.protobuf.Duration.getDefaultInstance() : timeOffset_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A time (frame) of a video in which the object has been detected.
+     * Expressed as a number of seconds as measured from the
+     * start of the video, with fractions up to a microsecond precision, and
+     * with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_offset = 1;</code>
+     */
+    @java.lang.Override
+    public com.google.protobuf.DurationOrBuilder getTimeOffsetOrBuilder() {
+      return getTimeOffset();
+    }
+
+    public static final int X_MIN_FIELD_NUMBER = 2;
+    private com.google.protobuf.FloatValue xMin_;
+    /**
+     *
+     *
+     * <pre>
+     * The leftmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_min = 2;</code>
+     *
+     * @return Whether the xMin field is set.
+     */
+    @java.lang.Override
+    public boolean hasXMin() {
+      return xMin_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The leftmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_min = 2;</code>
+     *
+     * @return The xMin.
+     */
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+    public com.google.protobuf.FloatValue getXMin() {
+      return xMin_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : xMin_;
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+    /**
+     *
+     *
+     * <pre>
+     * The leftmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_min = 2;</code>
+     */
+    @java.lang.Override
+    public com.google.protobuf.FloatValueOrBuilder getXMinOrBuilder() {
+      return getXMin();
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+
+    public static final int X_MAX_FIELD_NUMBER = 3;
+    private com.google.protobuf.FloatValue xMax_;
+    /**
+     *
+     *
+     * <pre>
+     * The rightmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_max = 3;</code>
+     *
+     * @return Whether the xMax field is set.
+     */
+    @java.lang.Override
+    public boolean hasXMax() {
+      return xMax_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The rightmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_max = 3;</code>
+     *
+     * @return The xMax.
+     */
+    @java.lang.Override
+    public com.google.protobuf.FloatValue getXMax() {
+      return xMax_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : xMax_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The rightmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue x_max = 3;</code>
+     */
+    @java.lang.Override
+    public com.google.protobuf.FloatValueOrBuilder getXMaxOrBuilder() {
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+
+    public static final int Y_MIN_FIELD_NUMBER = 4;
+    private com.google.protobuf.FloatValue yMin_;
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+     *
+     *
+     * <pre>
+     * The topmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_min = 4;</code>
+     *
+     * @return Whether the yMin field is set.
+     */
+    @java.lang.Override
+    public boolean hasYMin() {
+      return yMin_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The topmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_min = 4;</code>
+     *
+     * @return The yMin.
+     */
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+    public com.google.protobuf.FloatValue getYMin() {
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+     *
+     * <pre>
+     * The topmost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_min = 4;</code>
+     */
+    @java.lang.Override
+    public com.google.protobuf.FloatValueOrBuilder getYMinOrBuilder() {
+      return getYMin();
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+
+    public static final int Y_MAX_FIELD_NUMBER = 5;
+    private com.google.protobuf.FloatValue yMax_;
+    /**
+     *
+     *
+     * <pre>
+     * The bottommost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_max = 5;</code>
+     *
+     * @return Whether the yMax field is set.
+     */
+    @java.lang.Override
+    public boolean hasYMax() {
+      return yMax_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The bottommost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_max = 5;</code>
+     *
+     * @return The yMax.
+     */
+    @java.lang.Override
+    public com.google.protobuf.FloatValue getYMax() {
+      return yMax_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : yMax_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The bottommost coordinate of the bounding box.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue y_max = 5;</code>
+     */
+    @java.lang.Override
+    public com.google.protobuf.FloatValueOrBuilder getYMaxOrBuilder() {
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+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
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+      if (yMax_ != null) {
+        output.writeMessage(5, getYMax());
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+      unknownFields.writeTo(output);
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+
+    @java.lang.Override
+    public int getSerializedSize() {
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+
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+      }
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+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
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+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoObjectTrackingPredictionResult.Frame)) {
+        return super.equals(obj);
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+      com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+              .Frame
+          other =
+              (com.google.cloud.aiplatform.v1.schema.predict.prediction
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+
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+      if (hasTimeOffset()) {
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+      if (hasXMin() != other.hasXMin()) return false;
+      if (hasXMin()) {
+        if (!getXMin().equals(other.getXMin())) return false;
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+      if (hasXMax() != other.hasXMax()) return false;
+      if (hasXMax()) {
+        if (!getXMax().equals(other.getXMax())) return false;
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+      if (hasYMin() != other.hasYMin()) return false;
+      if (hasYMin()) {
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+      }
+      if (hasYMax() != other.hasYMax()) return false;
+      if (hasYMax()) {
+        if (!getYMax().equals(other.getYMax())) return false;
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
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+
+    @java.lang.Override
+    public int hashCode() {
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+        return memoizedHashCode;
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+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      if (hasTimeOffset()) {
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+        hash = (53 * hash) + getTimeOffset().hashCode();
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+        hash = (53 * hash) + getXMin().hashCode();
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+        hash = (53 * hash) + getXMax().hashCode();
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+      if (hasYMin()) {
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+        hash = (53 * hash) + getYMin().hashCode();
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+        hash = (53 * hash) + getYMax().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The fields `xMin`, `xMax`, `yMin`, and `yMax` refer to a bounding box,
+     * i.e. the rectangle over the video frame pinpointing the found
+     * AnnotationSpec. The coordinates are relative to the frame size, and the
+     * point 0,0 is in the top left of the frame.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame)
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+            .FrameOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResultProto
+            .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResultProto
+            .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult.Frame.class,
+                com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult.Frame.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        if (timeOffsetBuilder_ == null) {
+          timeOffset_ = null;
+        } else {
+          timeOffset_ = null;
+          timeOffsetBuilder_ = null;
+        }
+        if (xMinBuilder_ == null) {
+          xMin_ = null;
+        } else {
+          xMin_ = null;
+          xMinBuilder_ = null;
+        }
+        if (xMaxBuilder_ == null) {
+          xMax_ = null;
+        } else {
+          xMax_ = null;
+          xMaxBuilder_ = null;
+        }
+        if (yMinBuilder_ == null) {
+          yMin_ = null;
+        } else {
+          yMin_ = null;
+          yMinBuilder_ = null;
+        }
+        if (yMaxBuilder_ == null) {
+          yMax_ = null;
+        } else {
+          yMax_ = null;
+          yMaxBuilder_ = null;
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResultProto
+            .internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoObjectTrackingPredictionResult.Frame
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoObjectTrackingPredictionResult.Frame
+          build() {
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame
+            result = buildPartial();
+        if (!result.isInitialized()) {
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+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoObjectTrackingPredictionResult.Frame
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame
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+                new com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult.Frame(this);
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+        } else {
+          result.xMin_ = xMinBuilder_.build();
+        }
+        if (xMaxBuilder_ == null) {
+          result.xMax_ = xMax_;
+        } else {
+          result.xMax_ = xMaxBuilder_.build();
+        }
+        if (yMinBuilder_ == null) {
+          result.yMin_ = yMin_;
+        } else {
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+        }
+        if (yMaxBuilder_ == null) {
+          result.yMax_ = yMax_;
+        } else {
+          result.yMax_ = yMaxBuilder_.build();
+        }
+        onBuilt();
+        return result;
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+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
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+
+      @java.lang.Override
+      public Builder setField(
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+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
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+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
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+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
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+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
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+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                      .VideoObjectTrackingPredictionResult.Frame)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoObjectTrackingPredictionResult.Frame
+              other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame.getDefaultInstance()) return this;
+        if (other.hasTimeOffset()) {
+          mergeTimeOffset(other.getTimeOffset());
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+        if (other.hasXMin()) {
+          mergeXMin(other.getXMin());
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+        if (other.hasXMax()) {
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+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
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+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
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+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame
+            parsedMessage = null;
+        try {
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+              (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                      .VideoObjectTrackingPredictionResult.Frame)
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+        return this;
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+      private com.google.protobuf.SingleFieldBuilderV3<
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+              com.google.protobuf.Duration.Builder,
+              com.google.protobuf.DurationOrBuilder>
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+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
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+       *
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+       */
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+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
+       * </pre>
+       *
+       * <code>.google.protobuf.Duration time_offset = 1;</code>
+       *
+       * @return The timeOffset.
+       */
+      public com.google.protobuf.Duration getTimeOffset() {
+        if (timeOffsetBuilder_ == null) {
+          return timeOffset_ == null
+              ? com.google.protobuf.Duration.getDefaultInstance()
+              : timeOffset_;
+        } else {
+          return timeOffsetBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
+       * </pre>
+       *
+       * <code>.google.protobuf.Duration time_offset = 1;</code>
+       */
+      public Builder setTimeOffset(com.google.protobuf.Duration value) {
+        if (timeOffsetBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          timeOffset_ = value;
+          onChanged();
+        } else {
+          timeOffsetBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
+       * </pre>
+       *
+       * <code>.google.protobuf.Duration time_offset = 1;</code>
+       */
+      public Builder setTimeOffset(com.google.protobuf.Duration.Builder builderForValue) {
+        if (timeOffsetBuilder_ == null) {
+          timeOffset_ = builderForValue.build();
+          onChanged();
+        } else {
+          timeOffsetBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
+       * </pre>
+       *
+       * <code>.google.protobuf.Duration time_offset = 1;</code>
+       */
+      public Builder mergeTimeOffset(com.google.protobuf.Duration value) {
+        if (timeOffsetBuilder_ == null) {
+          if (timeOffset_ != null) {
+            timeOffset_ =
+                com.google.protobuf.Duration.newBuilder(timeOffset_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            timeOffset_ = value;
+          }
+          onChanged();
+        } else {
+          timeOffsetBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
+       * </pre>
+       *
+       * <code>.google.protobuf.Duration time_offset = 1;</code>
+       */
+      public Builder clearTimeOffset() {
+        if (timeOffsetBuilder_ == null) {
+          timeOffset_ = null;
+          onChanged();
+        } else {
+          timeOffset_ = null;
+          timeOffsetBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
+       * </pre>
+       *
+       * <code>.google.protobuf.Duration time_offset = 1;</code>
+       */
+      public com.google.protobuf.Duration.Builder getTimeOffsetBuilder() {
+
+        onChanged();
+        return getTimeOffsetFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
+       * </pre>
+       *
+       * <code>.google.protobuf.Duration time_offset = 1;</code>
+       */
+      public com.google.protobuf.DurationOrBuilder getTimeOffsetOrBuilder() {
+        if (timeOffsetBuilder_ != null) {
+          return timeOffsetBuilder_.getMessageOrBuilder();
+        } else {
+          return timeOffset_ == null
+              ? com.google.protobuf.Duration.getDefaultInstance()
+              : timeOffset_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * A time (frame) of a video in which the object has been detected.
+       * Expressed as a number of seconds as measured from the
+       * start of the video, with fractions up to a microsecond precision, and
+       * with "s" appended at the end.
+       * </pre>
+       *
+       * <code>.google.protobuf.Duration time_offset = 1;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.Duration,
+              com.google.protobuf.Duration.Builder,
+              com.google.protobuf.DurationOrBuilder>
+          getTimeOffsetFieldBuilder() {
+        if (timeOffsetBuilder_ == null) {
+          timeOffsetBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.protobuf.Duration,
+                  com.google.protobuf.Duration.Builder,
+                  com.google.protobuf.DurationOrBuilder>(
+                  getTimeOffset(), getParentForChildren(), isClean());
+          timeOffset_ = null;
+        }
+        return timeOffsetBuilder_;
+      }
+
+      private com.google.protobuf.FloatValue xMin_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.FloatValue,
+              com.google.protobuf.FloatValue.Builder,
+              com.google.protobuf.FloatValueOrBuilder>
+          xMinBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       *
+       * @return Whether the xMin field is set.
+       */
+      public boolean hasXMin() {
+        return xMinBuilder_ != null || xMin_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       *
+       * @return The xMin.
+       */
+      public com.google.protobuf.FloatValue getXMin() {
+        if (xMinBuilder_ == null) {
+          return xMin_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : xMin_;
+        } else {
+          return xMinBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       */
+      public Builder setXMin(com.google.protobuf.FloatValue value) {
+        if (xMinBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          xMin_ = value;
+          onChanged();
+        } else {
+          xMinBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       */
+      public Builder setXMin(com.google.protobuf.FloatValue.Builder builderForValue) {
+        if (xMinBuilder_ == null) {
+          xMin_ = builderForValue.build();
+          onChanged();
+        } else {
+          xMinBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       */
+      public Builder mergeXMin(com.google.protobuf.FloatValue value) {
+        if (xMinBuilder_ == null) {
+          if (xMin_ != null) {
+            xMin_ =
+                com.google.protobuf.FloatValue.newBuilder(xMin_).mergeFrom(value).buildPartial();
+          } else {
+            xMin_ = value;
+          }
+          onChanged();
+        } else {
+          xMinBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       */
+      public Builder clearXMin() {
+        if (xMinBuilder_ == null) {
+          xMin_ = null;
+          onChanged();
+        } else {
+          xMin_ = null;
+          xMinBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       */
+      public com.google.protobuf.FloatValue.Builder getXMinBuilder() {
+
+        onChanged();
+        return getXMinFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       */
+      public com.google.protobuf.FloatValueOrBuilder getXMinOrBuilder() {
+        if (xMinBuilder_ != null) {
+          return xMinBuilder_.getMessageOrBuilder();
+        } else {
+          return xMin_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : xMin_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The leftmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_min = 2;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.FloatValue,
+              com.google.protobuf.FloatValue.Builder,
+              com.google.protobuf.FloatValueOrBuilder>
+          getXMinFieldBuilder() {
+        if (xMinBuilder_ == null) {
+          xMinBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.protobuf.FloatValue,
+                  com.google.protobuf.FloatValue.Builder,
+                  com.google.protobuf.FloatValueOrBuilder>(
+                  getXMin(), getParentForChildren(), isClean());
+          xMin_ = null;
+        }
+        return xMinBuilder_;
+      }
+
+      private com.google.protobuf.FloatValue xMax_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.FloatValue,
+              com.google.protobuf.FloatValue.Builder,
+              com.google.protobuf.FloatValueOrBuilder>
+          xMaxBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       *
+       * @return Whether the xMax field is set.
+       */
+      public boolean hasXMax() {
+        return xMaxBuilder_ != null || xMax_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       *
+       * @return The xMax.
+       */
+      public com.google.protobuf.FloatValue getXMax() {
+        if (xMaxBuilder_ == null) {
+          return xMax_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : xMax_;
+        } else {
+          return xMaxBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       */
+      public Builder setXMax(com.google.protobuf.FloatValue value) {
+        if (xMaxBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          xMax_ = value;
+          onChanged();
+        } else {
+          xMaxBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       */
+      public Builder setXMax(com.google.protobuf.FloatValue.Builder builderForValue) {
+        if (xMaxBuilder_ == null) {
+          xMax_ = builderForValue.build();
+          onChanged();
+        } else {
+          xMaxBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       */
+      public Builder mergeXMax(com.google.protobuf.FloatValue value) {
+        if (xMaxBuilder_ == null) {
+          if (xMax_ != null) {
+            xMax_ =
+                com.google.protobuf.FloatValue.newBuilder(xMax_).mergeFrom(value).buildPartial();
+          } else {
+            xMax_ = value;
+          }
+          onChanged();
+        } else {
+          xMaxBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       */
+      public Builder clearXMax() {
+        if (xMaxBuilder_ == null) {
+          xMax_ = null;
+          onChanged();
+        } else {
+          xMax_ = null;
+          xMaxBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       */
+      public com.google.protobuf.FloatValue.Builder getXMaxBuilder() {
+
+        onChanged();
+        return getXMaxFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       */
+      public com.google.protobuf.FloatValueOrBuilder getXMaxOrBuilder() {
+        if (xMaxBuilder_ != null) {
+          return xMaxBuilder_.getMessageOrBuilder();
+        } else {
+          return xMax_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : xMax_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The rightmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue x_max = 3;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.FloatValue,
+              com.google.protobuf.FloatValue.Builder,
+              com.google.protobuf.FloatValueOrBuilder>
+          getXMaxFieldBuilder() {
+        if (xMaxBuilder_ == null) {
+          xMaxBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.protobuf.FloatValue,
+                  com.google.protobuf.FloatValue.Builder,
+                  com.google.protobuf.FloatValueOrBuilder>(
+                  getXMax(), getParentForChildren(), isClean());
+          xMax_ = null;
+        }
+        return xMaxBuilder_;
+      }
+
+      private com.google.protobuf.FloatValue yMin_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.FloatValue,
+              com.google.protobuf.FloatValue.Builder,
+              com.google.protobuf.FloatValueOrBuilder>
+          yMinBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       *
+       * @return Whether the yMin field is set.
+       */
+      public boolean hasYMin() {
+        return yMinBuilder_ != null || yMin_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       *
+       * @return The yMin.
+       */
+      public com.google.protobuf.FloatValue getYMin() {
+        if (yMinBuilder_ == null) {
+          return yMin_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : yMin_;
+        } else {
+          return yMinBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       */
+      public Builder setYMin(com.google.protobuf.FloatValue value) {
+        if (yMinBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          yMin_ = value;
+          onChanged();
+        } else {
+          yMinBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       */
+      public Builder setYMin(com.google.protobuf.FloatValue.Builder builderForValue) {
+        if (yMinBuilder_ == null) {
+          yMin_ = builderForValue.build();
+          onChanged();
+        } else {
+          yMinBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       */
+      public Builder mergeYMin(com.google.protobuf.FloatValue value) {
+        if (yMinBuilder_ == null) {
+          if (yMin_ != null) {
+            yMin_ =
+                com.google.protobuf.FloatValue.newBuilder(yMin_).mergeFrom(value).buildPartial();
+          } else {
+            yMin_ = value;
+          }
+          onChanged();
+        } else {
+          yMinBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       */
+      public Builder clearYMin() {
+        if (yMinBuilder_ == null) {
+          yMin_ = null;
+          onChanged();
+        } else {
+          yMin_ = null;
+          yMinBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       */
+      public com.google.protobuf.FloatValue.Builder getYMinBuilder() {
+
+        onChanged();
+        return getYMinFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       */
+      public com.google.protobuf.FloatValueOrBuilder getYMinOrBuilder() {
+        if (yMinBuilder_ != null) {
+          return yMinBuilder_.getMessageOrBuilder();
+        } else {
+          return yMin_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : yMin_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The topmost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_min = 4;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.FloatValue,
+              com.google.protobuf.FloatValue.Builder,
+              com.google.protobuf.FloatValueOrBuilder>
+          getYMinFieldBuilder() {
+        if (yMinBuilder_ == null) {
+          yMinBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.protobuf.FloatValue,
+                  com.google.protobuf.FloatValue.Builder,
+                  com.google.protobuf.FloatValueOrBuilder>(
+                  getYMin(), getParentForChildren(), isClean());
+          yMin_ = null;
+        }
+        return yMinBuilder_;
+      }
+
+      private com.google.protobuf.FloatValue yMax_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.FloatValue,
+              com.google.protobuf.FloatValue.Builder,
+              com.google.protobuf.FloatValueOrBuilder>
+          yMaxBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       *
+       * @return Whether the yMax field is set.
+       */
+      public boolean hasYMax() {
+        return yMaxBuilder_ != null || yMax_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       *
+       * @return The yMax.
+       */
+      public com.google.protobuf.FloatValue getYMax() {
+        if (yMaxBuilder_ == null) {
+          return yMax_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : yMax_;
+        } else {
+          return yMaxBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       */
+      public Builder setYMax(com.google.protobuf.FloatValue value) {
+        if (yMaxBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          yMax_ = value;
+          onChanged();
+        } else {
+          yMaxBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       */
+      public Builder setYMax(com.google.protobuf.FloatValue.Builder builderForValue) {
+        if (yMaxBuilder_ == null) {
+          yMax_ = builderForValue.build();
+          onChanged();
+        } else {
+          yMaxBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       */
+      public Builder mergeYMax(com.google.protobuf.FloatValue value) {
+        if (yMaxBuilder_ == null) {
+          if (yMax_ != null) {
+            yMax_ =
+                com.google.protobuf.FloatValue.newBuilder(yMax_).mergeFrom(value).buildPartial();
+          } else {
+            yMax_ = value;
+          }
+          onChanged();
+        } else {
+          yMaxBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       */
+      public Builder clearYMax() {
+        if (yMaxBuilder_ == null) {
+          yMax_ = null;
+          onChanged();
+        } else {
+          yMax_ = null;
+          yMaxBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       */
+      public com.google.protobuf.FloatValue.Builder getYMaxBuilder() {
+
+        onChanged();
+        return getYMaxFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       */
+      public com.google.protobuf.FloatValueOrBuilder getYMaxOrBuilder() {
+        if (yMaxBuilder_ != null) {
+          return yMaxBuilder_.getMessageOrBuilder();
+        } else {
+          return yMax_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : yMax_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The bottommost coordinate of the bounding box.
+       * </pre>
+       *
+       * <code>.google.protobuf.FloatValue y_max = 5;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.protobuf.FloatValue,
+              com.google.protobuf.FloatValue.Builder,
+              com.google.protobuf.FloatValueOrBuilder>
+          getYMaxFieldBuilder() {
+        if (yMaxBuilder_ == null) {
+          yMaxBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.protobuf.FloatValue,
+                  com.google.protobuf.FloatValue.Builder,
+                  com.google.protobuf.FloatValueOrBuilder>(
+                  getYMax(), getParentForChildren(), isClean());
+          yMax_ = null;
+        }
+        return yMaxBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame)
+    private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoObjectTrackingPredictionResult.Frame();
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<Frame> PARSER =
+        new com.google.protobuf.AbstractParser<Frame>() {
+          @java.lang.Override
+          public Frame parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new Frame(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<Frame> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<Frame> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int ID_FIELD_NUMBER = 1;
+  private volatile java.lang.Object id_;
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The id.
+   */
+  @java.lang.Override
+  public java.lang.String getId() {
+    java.lang.Object ref = id_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      id_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The bytes for id.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getIdBytes() {
+    java.lang.Object ref = id_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      id_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int DISPLAY_NAME_FIELD_NUMBER = 2;
+  private volatile java.lang.Object displayName_;
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The displayName.
+   */
+  @java.lang.Override
+  public java.lang.String getDisplayName() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      displayName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The bytes for displayName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDisplayNameBytes() {
+    java.lang.Object ref = displayName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      displayName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TIME_SEGMENT_START_FIELD_NUMBER = 3;
+  private com.google.protobuf.Duration timeSegmentStart_;
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 3;</code>
+   *
+   * @return Whether the timeSegmentStart field is set.
+   */
+  @java.lang.Override
+  public boolean hasTimeSegmentStart() {
+    return timeSegmentStart_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 3;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Duration getTimeSegmentStart() {
+    return timeSegmentStart_ == null
+        ? com.google.protobuf.Duration.getDefaultInstance()
+        : timeSegmentStart_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 3;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.DurationOrBuilder getTimeSegmentStartOrBuilder() {
+    return getTimeSegmentStart();
+  }
+
+  public static final int TIME_SEGMENT_END_FIELD_NUMBER = 4;
+  private com.google.protobuf.Duration timeSegmentEnd_;
+  /**
+   *
+   *
+   * <pre>
+   * The end, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+   *
+   * @return Whether the timeSegmentEnd field is set.
+   */
+  @java.lang.Override
+  public boolean hasTimeSegmentEnd() {
+    return timeSegmentEnd_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  @java.lang.Override
+  public com.google.protobuf.Duration getTimeSegmentEnd() {
+    return timeSegmentEnd_ == null
+        ? com.google.protobuf.Duration.getDefaultInstance()
+        : timeSegmentEnd_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The end, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.DurationOrBuilder getTimeSegmentEndOrBuilder() {
+    return getTimeSegmentEnd();
+  }
+
+  public static final int CONFIDENCE_FIELD_NUMBER = 5;
+  private com.google.protobuf.FloatValue confidence_;
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 5;</code>
+   *
+   * @return Whether the confidence field is set.
+   */
+  @java.lang.Override
+  public boolean hasConfidence() {
+    return confidence_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 5;</code>
+   *
+   * @return The confidence.
+   */
+  @java.lang.Override
+  public com.google.protobuf.FloatValue getConfidence() {
+    return confidence_ == null ? com.google.protobuf.FloatValue.getDefaultInstance() : confidence_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 5;</code>
+   */
+  @java.lang.Override
+  public com.google.protobuf.FloatValueOrBuilder getConfidenceOrBuilder() {
+    return getConfidence();
+  }
+
+  public static final int FRAMES_FIELD_NUMBER = 6;
+  private java.util.List<
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoObjectTrackingPredictionResult.Frame>
+      frames_;
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoObjectTrackingPredictionResult.Frame>
+      getFramesList() {
+    return frames_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoObjectTrackingPredictionResult.FrameOrBuilder>
+      getFramesOrBuilderList() {
+    return frames_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  @java.lang.Override
+  public int getFramesCount() {
+    return frames_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult.Frame
+      getFrames(int index) {
+    return frames_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult.FrameOrBuilder
+      getFramesOrBuilder(int index) {
+    return frames_.get(index);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, id_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, displayName_);
+    }
+    if (timeSegmentStart_ != null) {
+      output.writeMessage(3, getTimeSegmentStart());
+    }
+    if (timeSegmentEnd_ != null) {
+      output.writeMessage(4, getTimeSegmentEnd());
+    }
+    if (confidence_ != null) {
+      output.writeMessage(5, getConfidence());
+    }
+    for (int i = 0; i < frames_.size(); i++) {
+      output.writeMessage(6, frames_.get(i));
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getIdBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, id_);
+    }
+    if (!getDisplayNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, displayName_);
+    }
+    if (timeSegmentStart_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, getTimeSegmentStart());
+    }
+    if (timeSegmentEnd_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getTimeSegmentEnd());
+    }
+    if (confidence_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(5, getConfidence());
+    }
+    for (int i = 0; i < frames_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(6, frames_.get(i));
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+        other =
+            (com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult)
+                obj;
+
+    if (!getId().equals(other.getId())) return false;
+    if (!getDisplayName().equals(other.getDisplayName())) return false;
+    if (hasTimeSegmentStart() != other.hasTimeSegmentStart()) return false;
+    if (hasTimeSegmentStart()) {
+      if (!getTimeSegmentStart().equals(other.getTimeSegmentStart())) return false;
+    }
+    if (hasTimeSegmentEnd() != other.hasTimeSegmentEnd()) return false;
+    if (hasTimeSegmentEnd()) {
+      if (!getTimeSegmentEnd().equals(other.getTimeSegmentEnd())) return false;
+    }
+    if (hasConfidence() != other.hasConfidence()) return false;
+    if (hasConfidence()) {
+      if (!getConfidence().equals(other.getConfidence())) return false;
+    }
+    if (!getFramesList().equals(other.getFramesList())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + ID_FIELD_NUMBER;
+    hash = (53 * hash) + getId().hashCode();
+    hash = (37 * hash) + DISPLAY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getDisplayName().hashCode();
+    if (hasTimeSegmentStart()) {
+      hash = (37 * hash) + TIME_SEGMENT_START_FIELD_NUMBER;
+      hash = (53 * hash) + getTimeSegmentStart().hashCode();
+    }
+    if (hasTimeSegmentEnd()) {
+      hash = (37 * hash) + TIME_SEGMENT_END_FIELD_NUMBER;
+      hash = (53 * hash) + getTimeSegmentEnd().hashCode();
+    }
+    if (hasConfidence()) {
+      hash = (37 * hash) + CONFIDENCE_FIELD_NUMBER;
+      hash = (53 * hash) + getConfidence().hashCode();
+    }
+    if (getFramesCount() > 0) {
+      hash = (37 * hash) + FRAMES_FIELD_NUMBER;
+      hash = (53 * hash) + getFramesList().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+     */
+    public boolean hasTimeSegmentEnd() {
+      return timeSegmentEndBuilder_ != null || timeSegmentEnd_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, inclusive, of the video's time segment in which the
+     * object instance has been detected. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+     *
+     * @return The timeSegmentEnd.
+     */
+    public com.google.protobuf.Duration getTimeSegmentEnd() {
+      if (timeSegmentEndBuilder_ == null) {
+        return timeSegmentEnd_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentEnd_;
+      } else {
+        return timeSegmentEndBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, inclusive, of the video's time segment in which the
+     * object instance has been detected. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+     */
+    public Builder setTimeSegmentEnd(com.google.protobuf.Duration value) {
+      if (timeSegmentEndBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        timeSegmentEnd_ = value;
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, inclusive, of the video's time segment in which the
+     * object instance has been detected. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+     */
+    public Builder setTimeSegmentEnd(com.google.protobuf.Duration.Builder builderForValue) {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEnd_ = builderForValue.build();
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, inclusive, of the video's time segment in which the
+     * object instance has been detected. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+     */
+    public Builder mergeTimeSegmentEnd(com.google.protobuf.Duration value) {
+      if (timeSegmentEndBuilder_ == null) {
+        if (timeSegmentEnd_ != null) {
+          timeSegmentEnd_ =
+              com.google.protobuf.Duration.newBuilder(timeSegmentEnd_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          timeSegmentEnd_ = value;
+        }
+        onChanged();
+      } else {
+        timeSegmentEndBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, inclusive, of the video's time segment in which the
+     * object instance has been detected. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+     */
+    public Builder clearTimeSegmentEnd() {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEnd_ = null;
+        onChanged();
+      } else {
+        timeSegmentEnd_ = null;
+        timeSegmentEndBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, inclusive, of the video's time segment in which the
+     * object instance has been detected. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+     */
+    public com.google.protobuf.Duration.Builder getTimeSegmentEndBuilder() {
+
+      onChanged();
+      return getTimeSegmentEndFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, inclusive, of the video's time segment in which the
+     * object instance has been detected. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+     */
+    public com.google.protobuf.DurationOrBuilder getTimeSegmentEndOrBuilder() {
+      if (timeSegmentEndBuilder_ != null) {
+        return timeSegmentEndBuilder_.getMessageOrBuilder();
+      } else {
+        return timeSegmentEnd_ == null
+            ? com.google.protobuf.Duration.getDefaultInstance()
+            : timeSegmentEnd_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The end, inclusive, of the video's time segment in which the
+     * object instance has been detected. Expressed as a number of seconds as
+     * measured from the start of the video, with fractions up to a microsecond
+     * precision, and with "s" appended at the end.
+     * </pre>
+     *
+     * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.Duration,
+            com.google.protobuf.Duration.Builder,
+            com.google.protobuf.DurationOrBuilder>
+        getTimeSegmentEndFieldBuilder() {
+      if (timeSegmentEndBuilder_ == null) {
+        timeSegmentEndBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.Duration,
+                com.google.protobuf.Duration.Builder,
+                com.google.protobuf.DurationOrBuilder>(
+                getTimeSegmentEnd(), getParentForChildren(), isClean());
+        timeSegmentEnd_ = null;
+      }
+      return timeSegmentEndBuilder_;
+    }
+
+    private com.google.protobuf.FloatValue confidence_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FloatValue,
+            com.google.protobuf.FloatValue.Builder,
+            com.google.protobuf.FloatValueOrBuilder>
+        confidenceBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     *
+     * @return Whether the confidence field is set.
+     */
+    public boolean hasConfidence() {
+      return confidenceBuilder_ != null || confidence_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     *
+     * @return The confidence.
+     */
+    public com.google.protobuf.FloatValue getConfidence() {
+      if (confidenceBuilder_ == null) {
+        return confidence_ == null
+            ? com.google.protobuf.FloatValue.getDefaultInstance()
+            : confidence_;
+      } else {
+        return confidenceBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     */
+    public Builder setConfidence(com.google.protobuf.FloatValue value) {
+      if (confidenceBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        confidence_ = value;
+        onChanged();
+      } else {
+        confidenceBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     */
+    public Builder setConfidence(com.google.protobuf.FloatValue.Builder builderForValue) {
+      if (confidenceBuilder_ == null) {
+        confidence_ = builderForValue.build();
+        onChanged();
+      } else {
+        confidenceBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     */
+    public Builder mergeConfidence(com.google.protobuf.FloatValue value) {
+      if (confidenceBuilder_ == null) {
+        if (confidence_ != null) {
+          confidence_ =
+              com.google.protobuf.FloatValue.newBuilder(confidence_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          confidence_ = value;
+        }
+        onChanged();
+      } else {
+        confidenceBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     */
+    public Builder clearConfidence() {
+      if (confidenceBuilder_ == null) {
+        confidence_ = null;
+        onChanged();
+      } else {
+        confidence_ = null;
+        confidenceBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     */
+    public com.google.protobuf.FloatValue.Builder getConfidenceBuilder() {
+
+      onChanged();
+      return getConfidenceFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     */
+    public com.google.protobuf.FloatValueOrBuilder getConfidenceOrBuilder() {
+      if (confidenceBuilder_ != null) {
+        return confidenceBuilder_.getMessageOrBuilder();
+      } else {
+        return confidence_ == null
+            ? com.google.protobuf.FloatValue.getDefaultInstance()
+            : confidence_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The Model's confidence in correction of this prediction, higher
+     * value means higher confidence.
+     * </pre>
+     *
+     * <code>.google.protobuf.FloatValue confidence = 5;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.protobuf.FloatValue,
+            com.google.protobuf.FloatValue.Builder,
+            com.google.protobuf.FloatValueOrBuilder>
+        getConfidenceFieldBuilder() {
+      if (confidenceBuilder_ == null) {
+        confidenceBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.protobuf.FloatValue,
+                com.google.protobuf.FloatValue.Builder,
+                com.google.protobuf.FloatValueOrBuilder>(
+                getConfidence(), getParentForChildren(), isClean());
+        confidence_ = null;
+      }
+      return confidenceBuilder_;
+    }
+
+    private java.util.List<
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame>
+        frames_ = java.util.Collections.emptyList();
+
+    private void ensureFramesIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        frames_ =
+            new java.util.ArrayList<
+                com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult.Frame>(frames_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame.Builder,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.FrameOrBuilder>
+        framesBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame>
+        getFramesList() {
+      if (framesBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(frames_);
+      } else {
+        return framesBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public int getFramesCount() {
+      if (framesBuilder_ == null) {
+        return frames_.size();
+      } else {
+        return framesBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame
+        getFrames(int index) {
+      if (framesBuilder_ == null) {
+        return frames_.get(index);
+      } else {
+        return framesBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder setFrames(
+        int index,
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame
+            value) {
+      if (framesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureFramesIsMutable();
+        frames_.set(index, value);
+        onChanged();
+      } else {
+        framesBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder setFrames(
+        int index,
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame.Builder
+            builderForValue) {
+      if (framesBuilder_ == null) {
+        ensureFramesIsMutable();
+        frames_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        framesBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder addFrames(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame
+            value) {
+      if (framesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureFramesIsMutable();
+        frames_.add(value);
+        onChanged();
+      } else {
+        framesBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder addFrames(
+        int index,
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame
+            value) {
+      if (framesBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureFramesIsMutable();
+        frames_.add(index, value);
+        onChanged();
+      } else {
+        framesBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder addFrames(
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame.Builder
+            builderForValue) {
+      if (framesBuilder_ == null) {
+        ensureFramesIsMutable();
+        frames_.add(builderForValue.build());
+        onChanged();
+      } else {
+        framesBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder addFrames(
+        int index,
+        com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+                .Frame.Builder
+            builderForValue) {
+      if (framesBuilder_ == null) {
+        ensureFramesIsMutable();
+        frames_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        framesBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder addAllFrames(
+        java.lang.Iterable<
+                ? extends
+                    com.google.cloud.aiplatform.v1.schema.predict.prediction
+                        .VideoObjectTrackingPredictionResult.Frame>
+            values) {
+      if (framesBuilder_ == null) {
+        ensureFramesIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, frames_);
+        onChanged();
+      } else {
+        framesBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder clearFrames() {
+      if (framesBuilder_ == null) {
+        frames_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        framesBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public Builder removeFrames(int index) {
+      if (framesBuilder_ == null) {
+        ensureFramesIsMutable();
+        frames_.remove(index);
+        onChanged();
+      } else {
+        framesBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame.Builder
+        getFramesBuilder(int index) {
+      return getFramesFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.FrameOrBuilder
+        getFramesOrBuilder(int index) {
+      if (framesBuilder_ == null) {
+        return frames_.get(index);
+      } else {
+        return framesBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult.FrameOrBuilder>
+        getFramesOrBuilderList() {
+      if (framesBuilder_ != null) {
+        return framesBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(frames_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame.Builder
+        addFramesBuilder() {
+      return getFramesFieldBuilder()
+          .addBuilder(
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoObjectTrackingPredictionResult.Frame.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult.Frame.Builder
+        addFramesBuilder(int index) {
+      return getFramesFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoObjectTrackingPredictionResult.Frame.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * All of the frames of the video in which a single object instance has been
+     * detected. The bounding boxes in the frames identify the same object.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame.Builder>
+        getFramesBuilderList() {
+      return getFramesFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.Frame.Builder,
+            com.google.cloud.aiplatform.v1.schema.predict.prediction
+                .VideoObjectTrackingPredictionResult.FrameOrBuilder>
+        getFramesFieldBuilder() {
+      if (framesBuilder_ == null) {
+        framesBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult.Frame,
+                com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult.Frame.Builder,
+                com.google.cloud.aiplatform.v1.schema.predict.prediction
+                    .VideoObjectTrackingPredictionResult.FrameOrBuilder>(
+                frames_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
+        frames_ = null;
+      }
+      return framesBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult)
+  private static final com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.predict.prediction
+            .VideoObjectTrackingPredictionResult();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<VideoObjectTrackingPredictionResult> PARSER =
+      new com.google.protobuf.AbstractParser<VideoObjectTrackingPredictionResult>() {
+        @java.lang.Override
+        public VideoObjectTrackingPredictionResult parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new VideoObjectTrackingPredictionResult(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<VideoObjectTrackingPredictionResult> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<VideoObjectTrackingPredictionResult> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.predict.prediction
+          .VideoObjectTrackingPredictionResult
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultOrBuilder.java
new file mode 100644
index 000000000..441695099
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultOrBuilder.java
@@ -0,0 +1,277 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public interface VideoObjectTrackingPredictionResultOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The id.
+   */
+  java.lang.String getId();
+  /**
+   *
+   *
+   * <pre>
+   * The resource ID of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string id = 1;</code>
+   *
+   * @return The bytes for id.
+   */
+  com.google.protobuf.ByteString getIdBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The displayName.
+   */
+  java.lang.String getDisplayName();
+  /**
+   *
+   *
+   * <pre>
+   * The display name of the AnnotationSpec that had been identified.
+   * </pre>
+   *
+   * <code>string display_name = 2;</code>
+   *
+   * @return The bytes for displayName.
+   */
+  com.google.protobuf.ByteString getDisplayNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 3;</code>
+   *
+   * @return Whether the timeSegmentStart field is set.
+   */
+  boolean hasTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 3;</code>
+   *
+   * @return The timeSegmentStart.
+   */
+  com.google.protobuf.Duration getTimeSegmentStart();
+  /**
+   *
+   *
+   * <pre>
+   * The beginning, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_start = 3;</code>
+   */
+  com.google.protobuf.DurationOrBuilder getTimeSegmentStartOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The end, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+   *
+   * @return Whether the timeSegmentEnd field is set.
+   */
+  boolean hasTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+   *
+   * @return The timeSegmentEnd.
+   */
+  com.google.protobuf.Duration getTimeSegmentEnd();
+  /**
+   *
+   *
+   * <pre>
+   * The end, inclusive, of the video's time segment in which the
+   * object instance has been detected. Expressed as a number of seconds as
+   * measured from the start of the video, with fractions up to a microsecond
+   * precision, and with "s" appended at the end.
+   * </pre>
+   *
+   * <code>.google.protobuf.Duration time_segment_end = 4;</code>
+   */
+  com.google.protobuf.DurationOrBuilder getTimeSegmentEndOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 5;</code>
+   *
+   * @return Whether the confidence field is set.
+   */
+  boolean hasConfidence();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 5;</code>
+   *
+   * @return The confidence.
+   */
+  com.google.protobuf.FloatValue getConfidence();
+  /**
+   *
+   *
+   * <pre>
+   * The Model's confidence in correction of this prediction, higher
+   * value means higher confidence.
+   * </pre>
+   *
+   * <code>.google.protobuf.FloatValue confidence = 5;</code>
+   */
+  com.google.protobuf.FloatValueOrBuilder getConfidenceOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  java.util.List<
+          com.google.cloud.aiplatform.v1.schema.predict.prediction
+              .VideoObjectTrackingPredictionResult.Frame>
+      getFramesList();
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame
+      getFrames(int index);
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  int getFramesCount();
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1.schema.predict.prediction
+                  .VideoObjectTrackingPredictionResult.FrameOrBuilder>
+      getFramesOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * All of the frames of the video in which a single object instance has been
+   * detected. The bounding boxes in the frames identify the same object.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult.Frame frames = 6;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.predict.prediction.VideoObjectTrackingPredictionResult
+          .FrameOrBuilder
+      getFramesOrBuilder(int index);
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultProto.java
new file mode 100644
index 000000000..ea1041140
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/VideoObjectTrackingPredictionResultProto.java
@@ -0,0 +1,106 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/predict/prediction/video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.predict.prediction;
+
+public final class VideoObjectTrackingPredictionResultProto {
+  private VideoObjectTrackingPredictionResultProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nPgoogle/cloud/aiplatform/v1/schema/pred"
+          + "ict/prediction/video_object_tracking.pro"
+          + "to\0224google.cloud.aiplatform.v1.schema.pr"
+          + "edict.prediction\032\036google/protobuf/durati"
+          + "on.proto\032\036google/protobuf/wrappers.proto"
+          + "\032\034google/api/annotations.proto\"\277\004\n#Video"
+          + "ObjectTrackingPredictionResult\022\n\n\002id\030\001 \001"
+          + "(\t\022\024\n\014display_name\030\002 \001(\t\0225\n\022time_segment"
+          + "_start\030\003 \001(\0132\031.google.protobuf.Duration\022"
+          + "3\n\020time_segment_end\030\004 \001(\0132\031.google.proto"
+          + "buf.Duration\022/\n\nconfidence\030\005 \001(\0132\033.googl"
+          + "e.protobuf.FloatValue\022o\n\006frames\030\006 \003(\0132_."
+          + "google.cloud.aiplatform.v1.schema.predic"
+          + "t.prediction.VideoObjectTrackingPredicti"
+          + "onResult.Frame\032\347\001\n\005Frame\022.\n\013time_offset\030"
+          + "\001 \001(\0132\031.google.protobuf.Duration\022*\n\005x_mi"
+          + "n\030\002 \001(\0132\033.google.protobuf.FloatValue\022*\n\005"
+          + "x_max\030\003 \001(\0132\033.google.protobuf.FloatValue"
+          + "\022*\n\005y_min\030\004 \001(\0132\033.google.protobuf.FloatV"
+          + "alue\022*\n\005y_max\030\005 \001(\0132\033.google.protobuf.Fl"
+          + "oatValueB\306\001\n8com.google.cloud.aiplatform"
+          + ".v1.schema.predict.predictionB(VideoObje"
+          + "ctTrackingPredictionResultProtoP\001Z^googl"
+          + "e.golang.org/genproto/googleapis/cloud/a"
+          + "iplatform/v1/schema/predict/prediction;p"
+          + "redictionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.protobuf.DurationProto.getDescriptor(),
+              com.google.protobuf.WrappersProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_descriptor,
+            new java.lang.String[] {
+              "Id", "DisplayName", "TimeSegmentStart", "TimeSegmentEnd", "Confidence", "Frames",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_predict_prediction_VideoObjectTrackingPredictionResult_Frame_descriptor,
+            new java.lang.String[] {
+              "TimeOffset", "XMin", "XMax", "YMin", "YMax",
+            });
+    com.google.protobuf.DurationProto.getDescriptor();
+    com.google.protobuf.WrappersProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageClassificationProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageClassificationProto.java
new file mode 100644
index 000000000..0f0167e84
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageClassificationProto.java
@@ -0,0 +1,126 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLImageClassificationProto {
+  private AutoMLImageClassificationProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nZgoogle/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_image_classifi"
+          + "cation.proto\0228google.cloud.aiplatform.v1"
+          + ".schema.trainingjob.definition\032\034google/a"
+          + "pi/annotations.proto\"\365\001\n\031AutoMlImageClas"
+          + "sification\022i\n\006inputs\030\001 \001(\0132Y.google.clou"
+          + "d.aiplatform.v1.schema.trainingjob.defin"
+          + "ition.AutoMlImageClassificationInputs\022m\n"
+          + "\010metadata\030\002 \001(\0132[.google.cloud.aiplatfor"
+          + "m.v1.schema.trainingjob.definition.AutoM"
+          + "lImageClassificationMetadata\"\223\003\n\037AutoMlI"
+          + "mageClassificationInputs\022w\n\nmodel_type\030\001"
+          + " \001(\0162c.google.cloud.aiplatform.v1.schema"
+          + ".trainingjob.definition.AutoMlImageClass"
+          + "ificationInputs.ModelType\022\025\n\rbase_model_"
+          + "id\030\002 \001(\t\022\037\n\027budget_milli_node_hours\030\003 \001("
+          + "\003\022\036\n\026disable_early_stopping\030\004 \001(\010\022\023\n\013mul"
+          + "ti_label\030\005 \001(\010\"\211\001\n\tModelType\022\032\n\026MODEL_TY"
+          + "PE_UNSPECIFIED\020\000\022\t\n\005CLOUD\020\001\022\033\n\027MOBILE_TF"
+          + "_LOW_LATENCY_1\020\002\022\031\n\025MOBILE_TF_VERSATILE_"
+          + "1\020\003\022\035\n\031MOBILE_TF_HIGH_ACCURACY_1\020\004\"\276\002\n!A"
+          + "utoMlImageClassificationMetadata\022\035\n\025cost"
+          + "_milli_node_hours\030\001 \001(\003\022\220\001\n\026successful_s"
+          + "top_reason\030\002 \001(\0162p.google.cloud.aiplatfo"
+          + "rm.v1.schema.trainingjob.definition.Auto"
+          + "MlImageClassificationMetadata.Successful"
+          + "StopReason\"g\n\024SuccessfulStopReason\022&\n\"SU"
+          + "CCESSFUL_STOP_REASON_UNSPECIFIED\020\000\022\022\n\016BU"
+          + "DGET_REACHED\020\001\022\023\n\017MODEL_CONVERGED\020\002B\304\001\n<"
+          + "com.google.cloud.aiplatform.v1.schema.tr"
+          + "ainingjob.definitionB\036AutoMLImageClassif"
+          + "icationProtoP\001Zbgoogle.golang.org/genpro"
+          + "to/googleapis/cloud/aiplatform/v1/schema"
+          + "/trainingjob/definition;definitionb\006prot"
+          + "o3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_descriptor,
+            new java.lang.String[] {
+              "Inputs", "Metadata",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_descriptor,
+            new java.lang.String[] {
+              "ModelType",
+              "BaseModelId",
+              "BudgetMilliNodeHours",
+              "DisableEarlyStopping",
+              "MultiLabel",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_descriptor,
+            new java.lang.String[] {
+              "CostMilliNodeHours", "SuccessfulStopReason",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageObjectDetectionProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageObjectDetectionProto.java
new file mode 100644
index 000000000..e535fde9e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageObjectDetectionProto.java
@@ -0,0 +1,122 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLImageObjectDetectionProto {
+  private AutoMLImageObjectDetectionProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n\\google/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_image_object_d"
+          + "etection.proto\0228google.cloud.aiplatform."
+          + "v1.schema.trainingjob.definition\032\034google"
+          + "/api/annotations.proto\"\370\001\n\032AutoMlImageOb"
+          + "jectDetection\022j\n\006inputs\030\001 \001(\0132Z.google.c"
+          + "loud.aiplatform.v1.schema.trainingjob.de"
+          + "finition.AutoMlImageObjectDetectionInput"
+          + "s\022n\n\010metadata\030\002 \001(\0132\\.google.cloud.aipla"
+          + "tform.v1.schema.trainingjob.definition.A"
+          + "utoMlImageObjectDetectionMetadata\"\222\003\n Au"
+          + "toMlImageObjectDetectionInputs\022x\n\nmodel_"
+          + "type\030\001 \001(\0162d.google.cloud.aiplatform.v1."
+          + "schema.trainingjob.definition.AutoMlImag"
+          + "eObjectDetectionInputs.ModelType\022\037\n\027budg"
+          + "et_milli_node_hours\030\002 \001(\003\022\036\n\026disable_ear"
+          + "ly_stopping\030\003 \001(\010\"\262\001\n\tModelType\022\032\n\026MODEL"
+          + "_TYPE_UNSPECIFIED\020\000\022\031\n\025CLOUD_HIGH_ACCURA"
+          + "CY_1\020\001\022\027\n\023CLOUD_LOW_LATENCY_1\020\002\022\033\n\027MOBIL"
+          + "E_TF_LOW_LATENCY_1\020\003\022\031\n\025MOBILE_TF_VERSAT"
+          + "ILE_1\020\004\022\035\n\031MOBILE_TF_HIGH_ACCURACY_1\020\005\"\300"
+          + "\002\n\"AutoMlImageObjectDetectionMetadata\022\035\n"
+          + "\025cost_milli_node_hours\030\001 \001(\003\022\221\001\n\026success"
+          + "ful_stop_reason\030\002 \001(\0162q.google.cloud.aip"
+          + "latform.v1.schema.trainingjob.definition"
+          + ".AutoMlImageObjectDetectionMetadata.Succ"
+          + "essfulStopReason\"g\n\024SuccessfulStopReason"
+          + "\022&\n\"SUCCESSFUL_STOP_REASON_UNSPECIFIED\020\000"
+          + "\022\022\n\016BUDGET_REACHED\020\001\022\023\n\017MODEL_CONVERGED\020"
+          + "\002B\305\001\n<com.google.cloud.aiplatform.v1.sch"
+          + "ema.trainingjob.definitionB\037AutoMLImageO"
+          + "bjectDetectionProtoP\001Zbgoogle.golang.org"
+          + "/genproto/googleapis/cloud/aiplatform/v1"
+          + "/schema/trainingjob/definition;definitio"
+          + "nb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_descriptor,
+            new java.lang.String[] {
+              "Inputs", "Metadata",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_descriptor,
+            new java.lang.String[] {
+              "ModelType", "BudgetMilliNodeHours", "DisableEarlyStopping",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_descriptor,
+            new java.lang.String[] {
+              "CostMilliNodeHours", "SuccessfulStopReason",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java
new file mode 100644
index 000000000..4a1fccb58
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java
@@ -0,0 +1,118 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLImageSegmentationProto {
+  private AutoMLImageSegmentationProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nXgoogle/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_image_segmenta"
+          + "tion.proto\0228google.cloud.aiplatform.v1.s"
+          + "chema.trainingjob.definition\032\034google/api"
+          + "/annotations.proto\"\357\001\n\027AutoMlImageSegmen"
+          + "tation\022g\n\006inputs\030\001 \001(\0132W.google.cloud.ai"
+          + "platform.v1.schema.trainingjob.definitio"
+          + "n.AutoMlImageSegmentationInputs\022k\n\010metad"
+          + "ata\030\002 \001(\0132Y.google.cloud.aiplatform.v1.s"
+          + "chema.trainingjob.definition.AutoMlImage"
+          + "SegmentationMetadata\"\311\002\n\035AutoMlImageSegm"
+          + "entationInputs\022u\n\nmodel_type\030\001 \001(\0162a.goo"
+          + "gle.cloud.aiplatform.v1.schema.trainingj"
+          + "ob.definition.AutoMlImageSegmentationInp"
+          + "uts.ModelType\022\037\n\027budget_milli_node_hours"
+          + "\030\002 \001(\003\022\025\n\rbase_model_id\030\003 \001(\t\"y\n\tModelTy"
+          + "pe\022\032\n\026MODEL_TYPE_UNSPECIFIED\020\000\022\031\n\025CLOUD_"
+          + "HIGH_ACCURACY_1\020\001\022\030\n\024CLOUD_LOW_ACCURACY_"
+          + "1\020\002\022\033\n\027MOBILE_TF_LOW_LATENCY_1\020\003\"\272\002\n\037Aut"
+          + "oMlImageSegmentationMetadata\022\035\n\025cost_mil"
+          + "li_node_hours\030\001 \001(\003\022\216\001\n\026successful_stop_"
+          + "reason\030\002 \001(\0162n.google.cloud.aiplatform.v"
+          + "1.schema.trainingjob.definition.AutoMlIm"
+          + "ageSegmentationMetadata.SuccessfulStopRe"
+          + "ason\"g\n\024SuccessfulStopReason\022&\n\"SUCCESSF"
+          + "UL_STOP_REASON_UNSPECIFIED\020\000\022\022\n\016BUDGET_R"
+          + "EACHED\020\001\022\023\n\017MODEL_CONVERGED\020\002B\302\001\n<com.go"
+          + "ogle.cloud.aiplatform.v1.schema.training"
+          + "job.definitionB\034AutoMLImageSegmentationP"
+          + "rotoP\001Zbgoogle.golang.org/genproto/googl"
+          + "eapis/cloud/aiplatform/v1/schema/trainin"
+          + "gjob/definition;definitionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_descriptor,
+            new java.lang.String[] {
+              "Inputs", "Metadata",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_descriptor,
+            new java.lang.String[] {
+              "ModelType", "BudgetMilliNodeHours", "BaseModelId",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_descriptor,
+            new java.lang.String[] {
+              "CostMilliNodeHours", "SuccessfulStopReason",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTablesProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTablesProto.java
new file mode 100644
index 000000000..df95607ed
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTablesProto.java
@@ -0,0 +1,309 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLTablesProto {
+  private AutoMLTablesProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextTransformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextTransformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nLgoogle/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_tables.proto\0228"
+          + "google.cloud.aiplatform.v1.schema.traini"
+          + "ngjob.definition\032agoogle/cloud/aiplatfor"
+          + "m/v1/schema/trainingjob/definition/expor"
+          + "t_evaluated_data_items_config.proto\032\034goo"
+          + "gle/api/annotations.proto\"\316\001\n\014AutoMlTabl"
+          + "es\022\\\n\006inputs\030\001 \001(\0132L.google.cloud.aiplat"
+          + "form.v1.schema.trainingjob.definition.Au"
+          + "toMlTablesInputs\022`\n\010metadata\030\002 \001(\0132N.goo"
+          + "gle.cloud.aiplatform.v1.schema.trainingj"
+          + "ob.definition.AutoMlTablesMetadata\"\324\021\n\022A"
+          + "utoMlTablesInputs\022-\n#optimization_object"
+          + "ive_recall_value\030\005 \001(\002H\000\0220\n&optimization"
+          + "_objective_precision_value\030\006 \001(\002H\000\022\027\n\017pr"
+          + "ediction_type\030\001 \001(\t\022\025\n\rtarget_column\030\002 \001"
+          + "(\t\022t\n\017transformations\030\003 \003(\0132[.google.clo"
+          + "ud.aiplatform.v1.schema.trainingjob.defi"
+          + "nition.AutoMlTablesInputs.Transformation"
+          + "\022\036\n\026optimization_objective\030\004 \001(\t\022%\n\035trai"
+          + "n_budget_milli_node_hours\030\007 \001(\003\022\036\n\026disab"
+          + "le_early_stopping\030\010 \001(\010\022\032\n\022weight_column"
+          + "_name\030\t \001(\t\022\204\001\n\"export_evaluated_data_it"
+          + "ems_config\030\n \001(\0132X.google.cloud.aiplatfo"
+          + "rm.v1.schema.trainingjob.definition.Expo"
+          + "rtEvaluatedDataItemsConfig\032\200\r\n\016Transform"
+          + "ation\022~\n\004auto\030\001 \001(\0132n.google.cloud.aipla"
+          + "tform.v1.schema.trainingjob.definition.A"
+          + "utoMlTablesInputs.Transformation.AutoTra"
+          + "nsformationH\000\022\204\001\n\007numeric\030\002 \001(\0132q.google"
+          + ".cloud.aiplatform.v1.schema.trainingjob."
+          + "definition.AutoMlTablesInputs.Transforma"
+          + "tion.NumericTransformationH\000\022\214\001\n\013categor"
+          + "ical\030\003 \001(\0132u.google.cloud.aiplatform.v1."
+          + "schema.trainingjob.definition.AutoMlTabl"
+          + "esInputs.Transformation.CategoricalTrans"
+          + "formationH\000\022\210\001\n\ttimestamp\030\004 \001(\0132s.google"
+          + ".cloud.aiplatform.v1.schema.trainingjob."
+          + "definition.AutoMlTablesInputs.Transforma"
+          + "tion.TimestampTransformationH\000\022~\n\004text\030\005"
+          + " \001(\0132n.google.cloud.aiplatform.v1.schema"
+          + ".trainingjob.definition.AutoMlTablesInpu"
+          + "ts.Transformation.TextTransformationH\000\022\222"
+          + "\001\n\020repeated_numeric\030\006 \001(\0132v.google.cloud"
+          + ".aiplatform.v1.schema.trainingjob.defini"
+          + "tion.AutoMlTablesInputs.Transformation.N"
+          + "umericArrayTransformationH\000\022\232\001\n\024repeated"
+          + "_categorical\030\007 \001(\0132z.google.cloud.aiplat"
+          + "form.v1.schema.trainingjob.definition.Au"
+          + "toMlTablesInputs.Transformation.Categori"
+          + "calArrayTransformationH\000\022\214\001\n\rrepeated_te"
+          + "xt\030\010 \001(\0132s.google.cloud.aiplatform.v1.sc"
+          + "hema.trainingjob.definition.AutoMlTables"
+          + "Inputs.Transformation.TextArrayTransform"
+          + "ationH\000\032)\n\022AutoTransformation\022\023\n\013column_"
+          + "name\030\001 \001(\t\032L\n\025NumericTransformation\022\023\n\013c"
+          + "olumn_name\030\001 \001(\t\022\036\n\026invalid_values_allow"
+          + "ed\030\002 \001(\010\0320\n\031CategoricalTransformation\022\023\n"
+          + "\013column_name\030\001 \001(\t\032c\n\027TimestampTransform"
+          + "ation\022\023\n\013column_name\030\001 \001(\t\022\023\n\013time_forma"
+          + "t\030\002 \001(\t\022\036\n\026invalid_values_allowed\030\003 \001(\010\032"
+          + ")\n\022TextTransformation\022\023\n\013column_name\030\001 \001"
+          + "(\t\032Q\n\032NumericArrayTransformation\022\023\n\013colu"
+          + "mn_name\030\001 \001(\t\022\036\n\026invalid_values_allowed\030"
+          + "\002 \001(\010\0325\n\036CategoricalArrayTransformation\022"
+          + "\023\n\013column_name\030\001 \001(\t\032.\n\027TextArrayTransfo"
+          + "rmation\022\023\n\013column_name\030\001 \001(\tB\027\n\025transfor"
+          + "mation_detailB*\n(additional_optimization"
+          + "_objective_config\";\n\024AutoMlTablesMetadat"
+          + "a\022#\n\033train_cost_milli_node_hours\030\001 \001(\003B\267"
+          + "\001\n<com.google.cloud.aiplatform.v1.schema"
+          + ".trainingjob.definitionB\021AutoMLTablesPro"
+          + "toP\001Zbgoogle.golang.org/genproto/googlea"
+          + "pis/cloud/aiplatform/v1/schema/trainingj"
+          + "ob/definition;definitionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .ExportEvaluatedDataItemsConfigProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_descriptor,
+            new java.lang.String[] {
+              "Inputs", "Metadata",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_descriptor,
+            new java.lang.String[] {
+              "OptimizationObjectiveRecallValue",
+              "OptimizationObjectivePrecisionValue",
+              "PredictionType",
+              "TargetColumn",
+              "Transformations",
+              "OptimizationObjective",
+              "TrainBudgetMilliNodeHours",
+              "DisableEarlyStopping",
+              "WeightColumnName",
+              "ExportEvaluatedDataItemsConfig",
+              "AdditionalOptimizationObjectiveConfig",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor,
+            new java.lang.String[] {
+              "Auto",
+              "Numeric",
+              "Categorical",
+              "Timestamp",
+              "Text",
+              "RepeatedNumeric",
+              "RepeatedCategorical",
+              "RepeatedText",
+              "TransformationDetail",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_descriptor,
+            new java.lang.String[] {
+              "ColumnName",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_descriptor,
+            new java.lang.String[] {
+              "ColumnName", "InvalidValuesAllowed",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor
+            .getNestedTypes()
+            .get(2);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_descriptor,
+            new java.lang.String[] {
+              "ColumnName",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor
+            .getNestedTypes()
+            .get(3);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_descriptor,
+            new java.lang.String[] {
+              "ColumnName", "TimeFormat", "InvalidValuesAllowed",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextTransformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor
+            .getNestedTypes()
+            .get(4);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextTransformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextTransformation_descriptor,
+            new java.lang.String[] {
+              "ColumnName",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor
+            .getNestedTypes()
+            .get(5);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_descriptor,
+            new java.lang.String[] {
+              "ColumnName", "InvalidValuesAllowed",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor
+            .getNestedTypes()
+            .get(6);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_descriptor,
+            new java.lang.String[] {
+              "ColumnName",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_descriptor =
+        internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor
+            .getNestedTypes()
+            .get(7);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_descriptor,
+            new java.lang.String[] {
+              "ColumnName",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_descriptor =
+        getDescriptor().getMessageTypes().get(2);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_descriptor,
+            new java.lang.String[] {
+              "TrainCostMilliNodeHours",
+            });
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfigProto
+        .getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextClassificationProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextClassificationProto.java
new file mode 100644
index 000000000..bd3529f52
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextClassificationProto.java
@@ -0,0 +1,89 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLTextClassificationProto {
+  private AutoMLTextClassificationProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nYgoogle/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_text_classific"
+          + "ation.proto\0228google.cloud.aiplatform.v1."
+          + "schema.trainingjob.definition\032\034google/ap"
+          + "i/annotations.proto\"\204\001\n\030AutoMlTextClassi"
+          + "fication\022h\n\006inputs\030\001 \001(\0132X.google.cloud."
+          + "aiplatform.v1.schema.trainingjob.definit"
+          + "ion.AutoMlTextClassificationInputs\"5\n\036Au"
+          + "toMlTextClassificationInputs\022\023\n\013multi_la"
+          + "bel\030\001 \001(\010B\303\001\n<com.google.cloud.aiplatfor"
+          + "m.v1.schema.trainingjob.definitionB\035Auto"
+          + "MLTextClassificationProtoP\001Zbgoogle.gola"
+          + "ng.org/genproto/googleapis/cloud/aiplatf"
+          + "orm/v1/schema/trainingjob/definition;def"
+          + "initionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_descriptor,
+            new java.lang.String[] {
+              "Inputs",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_descriptor,
+            new java.lang.String[] {
+              "MultiLabel",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextExtractionProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextExtractionProto.java
new file mode 100644
index 000000000..3acf09b23
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextExtractionProto.java
@@ -0,0 +1,86 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLTextExtractionProto {
+  private AutoMLTextExtractionProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nUgoogle/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_text_extractio"
+          + "n.proto\0228google.cloud.aiplatform.v1.sche"
+          + "ma.trainingjob.definition\032\034google/api/an"
+          + "notations.proto\"|\n\024AutoMlTextExtraction\022"
+          + "d\n\006inputs\030\001 \001(\0132T.google.cloud.aiplatfor"
+          + "m.v1.schema.trainingjob.definition.AutoM"
+          + "lTextExtractionInputs\"\034\n\032AutoMlTextExtra"
+          + "ctionInputsB\277\001\n<com.google.cloud.aiplatf"
+          + "orm.v1.schema.trainingjob.definitionB\031Au"
+          + "toMLTextExtractionProtoP\001Zbgoogle.golang"
+          + ".org/genproto/googleapis/cloud/aiplatfor"
+          + "m/v1/schema/trainingjob/definition;defin"
+          + "itionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_descriptor,
+            new java.lang.String[] {
+              "Inputs",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_descriptor,
+            new java.lang.String[] {});
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextSentimentProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextSentimentProto.java
new file mode 100644
index 000000000..2d0092473
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLTextSentimentProto.java
@@ -0,0 +1,88 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLTextSentimentProto {
+  private AutoMLTextSentimentProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nTgoogle/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_text_sentiment"
+          + ".proto\0228google.cloud.aiplatform.v1.schem"
+          + "a.trainingjob.definition\032\034google/api/ann"
+          + "otations.proto\"z\n\023AutoMlTextSentiment\022c\n"
+          + "\006inputs\030\001 \001(\0132S.google.cloud.aiplatform."
+          + "v1.schema.trainingjob.definition.AutoMlT"
+          + "extSentimentInputs\"2\n\031AutoMlTextSentimen"
+          + "tInputs\022\025\n\rsentiment_max\030\001 \001(\005B\276\001\n<com.g"
+          + "oogle.cloud.aiplatform.v1.schema.trainin"
+          + "gjob.definitionB\030AutoMLTextSentimentProt"
+          + "oP\001Zbgoogle.golang.org/genproto/googleap"
+          + "is/cloud/aiplatform/v1/schema/trainingjo"
+          + "b/definition;definitionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_descriptor,
+            new java.lang.String[] {
+              "Inputs",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_descriptor,
+            new java.lang.String[] {
+              "SentimentMax",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoActionRecognitionProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoActionRecognitionProto.java
new file mode 100644
index 000000000..b0d8d2a11
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoActionRecognitionProto.java
@@ -0,0 +1,95 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLVideoActionRecognitionProto {
+  private AutoMLVideoActionRecognitionProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n^google/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_video_action_r"
+          + "ecognition.proto\0228google.cloud.aiplatfor"
+          + "m.v1.schema.trainingjob.definition\032\034goog"
+          + "le/api/annotations.proto\"\214\001\n\034AutoMlVideo"
+          + "ActionRecognition\022l\n\006inputs\030\001 \001(\0132\\.goog"
+          + "le.cloud.aiplatform.v1.schema.trainingjo"
+          + "b.definition.AutoMlVideoActionRecognitio"
+          + "nInputs\"\354\001\n\"AutoMlVideoActionRecognition"
+          + "Inputs\022z\n\nmodel_type\030\001 \001(\0162f.google.clou"
+          + "d.aiplatform.v1.schema.trainingjob.defin"
+          + "ition.AutoMlVideoActionRecognitionInputs"
+          + ".ModelType\"J\n\tModelType\022\032\n\026MODEL_TYPE_UN"
+          + "SPECIFIED\020\000\022\t\n\005CLOUD\020\001\022\026\n\022MOBILE_VERSATI"
+          + "LE_1\020\002B\307\001\n<com.google.cloud.aiplatform.v"
+          + "1.schema.trainingjob.definitionB!AutoMLV"
+          + "ideoActionRecognitionProtoP\001Zbgoogle.gol"
+          + "ang.org/genproto/googleapis/cloud/aiplat"
+          + "form/v1/schema/trainingjob/definition;de"
+          + "finitionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_descriptor,
+            new java.lang.String[] {
+              "Inputs",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_descriptor,
+            new java.lang.String[] {
+              "ModelType",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java
new file mode 100644
index 000000000..6c241960d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java
@@ -0,0 +1,95 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLVideoClassificationProto {
+  private AutoMLVideoClassificationProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nZgoogle/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_video_classifi"
+          + "cation.proto\0228google.cloud.aiplatform.v1"
+          + ".schema.trainingjob.definition\032\034google/a"
+          + "pi/annotations.proto\"\206\001\n\031AutoMlVideoClas"
+          + "sification\022i\n\006inputs\030\001 \001(\0132Y.google.clou"
+          + "d.aiplatform.v1.schema.trainingjob.defin"
+          + "ition.AutoMlVideoClassificationInputs\"\205\002"
+          + "\n\037AutoMlVideoClassificationInputs\022w\n\nmod"
+          + "el_type\030\001 \001(\0162c.google.cloud.aiplatform."
+          + "v1.schema.trainingjob.definition.AutoMlV"
+          + "ideoClassificationInputs.ModelType\"i\n\tMo"
+          + "delType\022\032\n\026MODEL_TYPE_UNSPECIFIED\020\000\022\t\n\005C"
+          + "LOUD\020\001\022\026\n\022MOBILE_VERSATILE_1\020\002\022\035\n\031MOBILE"
+          + "_JETSON_VERSATILE_1\020\003B\304\001\n<com.google.clo"
+          + "ud.aiplatform.v1.schema.trainingjob.defi"
+          + "nitionB\036AutoMLVideoClassificationProtoP\001"
+          + "Zbgoogle.golang.org/genproto/googleapis/"
+          + "cloud/aiplatform/v1/schema/trainingjob/d"
+          + "efinition;definitionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_descriptor,
+            new java.lang.String[] {
+              "Inputs",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_descriptor,
+            new java.lang.String[] {
+              "ModelType",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoObjectTrackingProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoObjectTrackingProto.java
new file mode 100644
index 000000000..63b8304cf
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMLVideoObjectTrackingProto.java
@@ -0,0 +1,98 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class AutoMLVideoObjectTrackingProto {
+  private AutoMLVideoObjectTrackingProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n[google/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/automl_video_object_t"
+          + "racking.proto\0228google.cloud.aiplatform.v"
+          + "1.schema.trainingjob.definition\032\034google/"
+          + "api/annotations.proto\"\206\001\n\031AutoMlVideoObj"
+          + "ectTracking\022i\n\006inputs\030\001 \001(\0132Y.google.clo"
+          + "ud.aiplatform.v1.schema.trainingjob.defi"
+          + "nition.AutoMlVideoObjectTrackingInputs\"\345"
+          + "\002\n\037AutoMlVideoObjectTrackingInputs\022w\n\nmo"
+          + "del_type\030\001 \001(\0162c.google.cloud.aiplatform"
+          + ".v1.schema.trainingjob.definition.AutoMl"
+          + "VideoObjectTrackingInputs.ModelType\"\310\001\n\t"
+          + "ModelType\022\032\n\026MODEL_TYPE_UNSPECIFIED\020\000\022\t\n"
+          + "\005CLOUD\020\001\022\026\n\022MOBILE_VERSATILE_1\020\002\022\034\n\030MOBI"
+          + "LE_CORAL_VERSATILE_1\020\003\022\036\n\032MOBILE_CORAL_L"
+          + "OW_LATENCY_1\020\004\022\035\n\031MOBILE_JETSON_VERSATIL"
+          + "E_1\020\005\022\037\n\033MOBILE_JETSON_LOW_LATENCY_1\020\006B\304"
+          + "\001\n<com.google.cloud.aiplatform.v1.schema"
+          + ".trainingjob.definitionB\036AutoMLVideoObje"
+          + "ctTrackingProtoP\001Zbgoogle.golang.org/gen"
+          + "proto/googleapis/cloud/aiplatform/v1/sch"
+          + "ema/trainingjob/definition;definitionb\006p"
+          + "roto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_descriptor,
+            new java.lang.String[] {
+              "Inputs",
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_descriptor =
+        getDescriptor().getMessageTypes().get(1);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_descriptor,
+            new java.lang.String[] {
+              "ModelType",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassification.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassification.java
new file mode 100644
index 000000000..e6256ddc2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassification.java
@@ -0,0 +1,1196 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Image Classification Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification}
+ */
+public final class AutoMlImageClassification extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)
+    AutoMlImageClassificationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageClassification.newBuilder() to construct.
+  private AutoMlImageClassification(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageClassification() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageClassification();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageClassification(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlImageClassificationInputs.Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlImageClassificationInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlImageClassificationMetadata.Builder
+                  subBuilder = null;
+              if (metadata_ != null) {
+                subBuilder = metadata_.toBuilder();
+              }
+              metadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlImageClassificationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metadata_);
+                metadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+                .class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+                .Builder.class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs.getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  public static final int METADATA_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      metadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+   * </code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetadata() {
+    return metadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+   * </code>
+   *
+   * @return The metadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      getMetadata() {
+    return metadata_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata.getDefaultInstance()
+        : metadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadataOrBuilder
+      getMetadataOrBuilder() {
+    return getMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    if (metadata_ != null) {
+      output.writeMessage(2, getMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    if (metadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)
+            obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (hasMetadata() != other.hasMetadata()) return false;
+    if (hasMetadata()) {
+      if (!getMetadata().equals(other.getMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    if (hasMetadata()) {
+      hash = (37 * hash) + METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Image Classification Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassification_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassification(this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      if (metadataBuilder_ == null) {
+        result.metadata_ = metadata_;
+      } else {
+        result.metadata_ = metadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      if (other.hasMetadata()) {
+        mergeMetadata(other.getMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs.getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+                .Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationInputs.newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs.Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs.getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata
+        metadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadataOrBuilder>
+        metadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     *
+     * @return Whether the metadata field is set.
+     */
+    public boolean hasMetadata() {
+      return metadataBuilder_ != null || metadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     *
+     * @return The metadata.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata
+        getMetadata() {
+      if (metadataBuilder_ == null) {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.getDefaultInstance()
+            : metadata_;
+      } else {
+        return metadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata
+            value) {
+      if (metadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metadata_ = value;
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.Builder
+            builderForValue) {
+      if (metadataBuilder_ == null) {
+        metadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     */
+    public Builder mergeMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata
+            value) {
+      if (metadataBuilder_ == null) {
+        if (metadata_ != null) {
+          metadata_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationMetadata.newBuilder(metadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metadata_ = value;
+        }
+        onChanged();
+      } else {
+        metadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     */
+    public Builder clearMetadata() {
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+        onChanged();
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata.Builder
+        getMetadataBuilder() {
+
+      onChanged();
+      return getMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadataOrBuilder
+        getMetadataOrBuilder() {
+      if (metadataBuilder_ != null) {
+        return metadataBuilder_.getMessageOrBuilder();
+      } else {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.getDefaultInstance()
+            : metadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadataOrBuilder>
+        getMetadataFieldBuilder() {
+      if (metadataBuilder_ == null) {
+        metadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationMetadata,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationMetadataOrBuilder>(
+                getMetadata(), getParentForChildren(), isClean());
+        metadata_ = null;
+      }
+      return metadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassification();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassification
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageClassification> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageClassification>() {
+        @java.lang.Override
+        public AutoMlImageClassification parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageClassification(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageClassification> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageClassification> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputs.java
new file mode 100644
index 000000000..39b60da99
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputs.java
@@ -0,0 +1,1443 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs}
+ */
+public final class AutoMlImageClassificationInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs)
+    AutoMlImageClassificationInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageClassificationInputs.newBuilder() to construct.
+  private AutoMlImageClassificationInputs(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageClassificationInputs() {
+    modelType_ = 0;
+    baseModelId_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageClassificationInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageClassificationInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              int rawValue = input.readEnum();
+
+              modelType_ = rawValue;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              baseModelId_ = s;
+              break;
+            }
+          case 24:
+            {
+              budgetMilliNodeHours_ = input.readInt64();
+              break;
+            }
+          case 32:
+            {
+              disableEarlyStopping_ = input.readBool();
+              break;
+            }
+          case 40:
+            {
+              multiLabel_ = input.readBool();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType}
+   */
+  public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MODEL_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * A Model best tailored to be used within Google Cloud, and which cannot
+     * be exported.
+     * Default.
+     * </pre>
+     *
+     * <code>CLOUD = 1;</code>
+     */
+    CLOUD(1),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * or Core ML model and used on a mobile or edge device afterwards.
+     * Expected to have low latency, but may have lower prediction
+     * quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_LOW_LATENCY_1 = 2;</code>
+     */
+    MOBILE_TF_LOW_LATENCY_1(2),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * or Core ML model and used on a mobile or edge device with afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_TF_VERSATILE_1 = 3;</code>
+     */
+    MOBILE_TF_VERSATILE_1(3),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * or Core ML model and used on a mobile or edge device afterwards.
+     * Expected to have a higher latency, but should also have a higher
+     * prediction quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_HIGH_ACCURACY_1 = 4;</code>
+     */
+    MOBILE_TF_HIGH_ACCURACY_1(4),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MODEL_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * A Model best tailored to be used within Google Cloud, and which cannot
+     * be exported.
+     * Default.
+     * </pre>
+     *
+     * <code>CLOUD = 1;</code>
+     */
+    public static final int CLOUD_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * or Core ML model and used on a mobile or edge device afterwards.
+     * Expected to have low latency, but may have lower prediction
+     * quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_LOW_LATENCY_1 = 2;</code>
+     */
+    public static final int MOBILE_TF_LOW_LATENCY_1_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * or Core ML model and used on a mobile or edge device with afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_TF_VERSATILE_1 = 3;</code>
+     */
+    public static final int MOBILE_TF_VERSATILE_1_VALUE = 3;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * or Core ML model and used on a mobile or edge device afterwards.
+     * Expected to have a higher latency, but should also have a higher
+     * prediction quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_HIGH_ACCURACY_1 = 4;</code>
+     */
+    public static final int MOBILE_TF_HIGH_ACCURACY_1_VALUE = 4;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ModelType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ModelType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MODEL_TYPE_UNSPECIFIED;
+        case 1:
+          return CLOUD;
+        case 2:
+          return MOBILE_TF_LOW_LATENCY_1;
+        case 3:
+          return MOBILE_TF_VERSATILE_1;
+        case 4:
+          return MOBILE_TF_HIGH_ACCURACY_1;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ModelType> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ModelType> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<ModelType>() {
+          public ModelType findValueByNumber(int number) {
+            return ModelType.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final ModelType[] VALUES = values();
+
+    public static ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ModelType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType)
+  }
+
+  public static final int MODEL_TYPE_FIELD_NUMBER = 1;
+  private int modelType_;
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  @java.lang.Override
+  public int getModelTypeValue() {
+    return modelType_;
+  }
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs.ModelType
+      getModelType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+            .ModelType
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationInputs.ModelType.valueOf(modelType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs.ModelType.UNRECOGNIZED
+        : result;
+  }
+
+  public static final int BASE_MODEL_ID_FIELD_NUMBER = 2;
+  private volatile java.lang.Object baseModelId_;
+  /**
+   *
+   *
+   * <pre>
+   * The ID of the `base` model. If it is specified, the new model will be
+   * trained based on the `base` model. Otherwise, the new model will be
+   * trained from scratch. The `base` model must be in the same
+   * Project and Location as the new Model to train, and have the same
+   * modelType.
+   * </pre>
+   *
+   * <code>string base_model_id = 2;</code>
+   *
+   * @return The baseModelId.
+   */
+  @java.lang.Override
+  public java.lang.String getBaseModelId() {
+    java.lang.Object ref = baseModelId_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      baseModelId_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The ID of the `base` model. If it is specified, the new model will be
+   * trained based on the `base` model. Otherwise, the new model will be
+   * trained from scratch. The `base` model must be in the same
+   * Project and Location as the new Model to train, and have the same
+   * modelType.
+   * </pre>
+   *
+   * <code>string base_model_id = 2;</code>
+   *
+   * @return The bytes for baseModelId.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getBaseModelIdBytes() {
+    java.lang.Object ref = baseModelId_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      baseModelId_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 3;
+  private long budgetMilliNodeHours_;
+  /**
+   *
+   *
+   * <pre>
+   * The training budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour. The actual
+   * metadata.costMilliNodeHours will be equal or less than this value.
+   * If further model training ceases to provide any improvements, it will
+   * stop without using the full budget and the metadata.successfulStopReason
+   * will be `model-converged`.
+   * Note, node_hour  = actual_hour * number_of_nodes_involved.
+   * For modelType `cloud`(default), the budget must be between 8,000
+   * and 800,000 milli node hours, inclusive. The default value is 192,000
+   * which represents one day in wall time, considering 8 nodes are used.
+   * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+   * `mobile-tf-high-accuracy-1`, the training budget must be between
+   * 1,000 and 100,000 milli node hours, inclusive.
+   * The default value is 24,000 which represents one day in wall time on a
+   * single node that is used.
+   * </pre>
+   *
+   * <code>int64 budget_milli_node_hours = 3;</code>
+   *
+   * @return The budgetMilliNodeHours.
+   */
+  @java.lang.Override
+  public long getBudgetMilliNodeHours() {
+    return budgetMilliNodeHours_;
+  }
+
+  public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER = 4;
+  private boolean disableEarlyStopping_;
+  /**
+   *
+   *
+   * <pre>
+   * Use the entire training budget. This disables the early stopping feature.
+   * When false the early stopping feature is enabled, which means that
+   * AutoML Image Classification might stop training before the entire
+   * training budget has been used.
+   * </pre>
+   *
+   * <code>bool disable_early_stopping = 4;</code>
+   *
+   * @return The disableEarlyStopping.
+   */
+  @java.lang.Override
+  public boolean getDisableEarlyStopping() {
+    return disableEarlyStopping_;
+  }
+
+  public static final int MULTI_LABEL_FIELD_NUMBER = 5;
+  private boolean multiLabel_;
+  /**
+   *
+   *
+   * <pre>
+   * If false, a single-label (multi-class) Model will be trained (i.e.
+   * assuming that for each image just up to one annotation may be
+   * applicable). If true, a multi-label Model will be trained (i.e.
+   * assuming that for each image multiple annotations may be applicable).
+   * </pre>
+   *
+   * <code>bool multi_label = 5;</code>
+   *
+   * @return The multiLabel.
+   */
+  @java.lang.Override
+  public boolean getMultiLabel() {
+    return multiLabel_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(1, modelType_);
+    }
+    if (!getBaseModelIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, baseModelId_);
+    }
+    if (budgetMilliNodeHours_ != 0L) {
+      output.writeInt64(3, budgetMilliNodeHours_);
+    }
+    if (disableEarlyStopping_ != false) {
+      output.writeBool(4, disableEarlyStopping_);
+    }
+    if (multiLabel_ != false) {
+      output.writeBool(5, multiLabel_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, modelType_);
+    }
+    if (!getBaseModelIdBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, baseModelId_);
+    }
+    if (budgetMilliNodeHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, budgetMilliNodeHours_);
+    }
+    if (disableEarlyStopping_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(4, disableEarlyStopping_);
+    }
+    if (multiLabel_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(5, multiLabel_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationInputs)
+                obj;
+
+    if (modelType_ != other.modelType_) return false;
+    if (!getBaseModelId().equals(other.getBaseModelId())) return false;
+    if (getBudgetMilliNodeHours() != other.getBudgetMilliNodeHours()) return false;
+    if (getDisableEarlyStopping() != other.getDisableEarlyStopping()) return false;
+    if (getMultiLabel() != other.getMultiLabel()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + modelType_;
+    hash = (37 * hash) + BASE_MODEL_ID_FIELD_NUMBER;
+    hash = (53 * hash) + getBaseModelId().hashCode();
+    hash = (37 * hash) + BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getBudgetMilliNodeHours());
+    hash = (37 * hash) + DISABLE_EARLY_STOPPING_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getDisableEarlyStopping());
+    hash = (37 * hash) + MULTI_LABEL_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getMultiLabel());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationInputs.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      modelType_ = 0;
+
+      baseModelId_ = "";
+
+      budgetMilliNodeHours_ = 0L;
+
+      disableEarlyStopping_ = false;
+
+      multiLabel_ = false;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationInputs(this);
+      result.modelType_ = modelType_;
+      result.baseModelId_ = baseModelId_;
+      result.budgetMilliNodeHours_ = budgetMilliNodeHours_;
+      result.disableEarlyStopping_ = disableEarlyStopping_;
+      result.multiLabel_ = multiLabel_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageClassificationInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageClassificationInputs.getDefaultInstance()) return this;
+      if (other.modelType_ != 0) {
+        setModelTypeValue(other.getModelTypeValue());
+      }
+      if (!other.getBaseModelId().isEmpty()) {
+        baseModelId_ = other.baseModelId_;
+        onChanged();
+      }
+      if (other.getBudgetMilliNodeHours() != 0L) {
+        setBudgetMilliNodeHours(other.getBudgetMilliNodeHours());
+      }
+      if (other.getDisableEarlyStopping() != false) {
+        setDisableEarlyStopping(other.getDisableEarlyStopping());
+      }
+      if (other.getMultiLabel() != false) {
+        setMultiLabel(other.getMultiLabel());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int modelType_ = 0;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for modelType.
+     */
+    @java.lang.Override
+    public int getModelTypeValue() {
+      return modelType_;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelTypeValue(int value) {
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The modelType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs.ModelType
+        getModelType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+              .ModelType
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationInputs.ModelType.valueOf(modelType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageClassificationInputs.ModelType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelType(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+                .ModelType
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModelType() {
+
+      modelType_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object baseModelId_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 2;</code>
+     *
+     * @return The baseModelId.
+     */
+    public java.lang.String getBaseModelId() {
+      java.lang.Object ref = baseModelId_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        baseModelId_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 2;</code>
+     *
+     * @return The bytes for baseModelId.
+     */
+    public com.google.protobuf.ByteString getBaseModelIdBytes() {
+      java.lang.Object ref = baseModelId_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        baseModelId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 2;</code>
+     *
+     * @param value The baseModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBaseModelId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      baseModelId_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearBaseModelId() {
+
+      baseModelId_ = getDefaultInstance().getBaseModelId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 2;</code>
+     *
+     * @param value The bytes for baseModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBaseModelIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      baseModelId_ = value;
+      onChanged();
+      return this;
+    }
+
+    private long budgetMilliNodeHours_;
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved.
+     * For modelType `cloud`(default), the budget must be between 8,000
+     * and 800,000 milli node hours, inclusive. The default value is 192,000
+     * which represents one day in wall time, considering 8 nodes are used.
+     * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+     * `mobile-tf-high-accuracy-1`, the training budget must be between
+     * 1,000 and 100,000 milli node hours, inclusive.
+     * The default value is 24,000 which represents one day in wall time on a
+     * single node that is used.
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 3;</code>
+     *
+     * @return The budgetMilliNodeHours.
+     */
+    @java.lang.Override
+    public long getBudgetMilliNodeHours() {
+      return budgetMilliNodeHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved.
+     * For modelType `cloud`(default), the budget must be between 8,000
+     * and 800,000 milli node hours, inclusive. The default value is 192,000
+     * which represents one day in wall time, considering 8 nodes are used.
+     * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+     * `mobile-tf-high-accuracy-1`, the training budget must be between
+     * 1,000 and 100,000 milli node hours, inclusive.
+     * The default value is 24,000 which represents one day in wall time on a
+     * single node that is used.
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 3;</code>
+     *
+     * @param value The budgetMilliNodeHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBudgetMilliNodeHours(long value) {
+
+      budgetMilliNodeHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved.
+     * For modelType `cloud`(default), the budget must be between 8,000
+     * and 800,000 milli node hours, inclusive. The default value is 192,000
+     * which represents one day in wall time, considering 8 nodes are used.
+     * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+     * `mobile-tf-high-accuracy-1`, the training budget must be between
+     * 1,000 and 100,000 milli node hours, inclusive.
+     * The default value is 24,000 which represents one day in wall time on a
+     * single node that is used.
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearBudgetMilliNodeHours() {
+
+      budgetMilliNodeHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private boolean disableEarlyStopping_;
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * When false the early stopping feature is enabled, which means that
+     * AutoML Image Classification might stop training before the entire
+     * training budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 4;</code>
+     *
+     * @return The disableEarlyStopping.
+     */
+    @java.lang.Override
+    public boolean getDisableEarlyStopping() {
+      return disableEarlyStopping_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * When false the early stopping feature is enabled, which means that
+     * AutoML Image Classification might stop training before the entire
+     * training budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 4;</code>
+     *
+     * @param value The disableEarlyStopping to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisableEarlyStopping(boolean value) {
+
+      disableEarlyStopping_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * When false the early stopping feature is enabled, which means that
+     * AutoML Image Classification might stop training before the entire
+     * training budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisableEarlyStopping() {
+
+      disableEarlyStopping_ = false;
+      onChanged();
+      return this;
+    }
+
+    private boolean multiLabel_;
+    /**
+     *
+     *
+     * <pre>
+     * If false, a single-label (multi-class) Model will be trained (i.e.
+     * assuming that for each image just up to one annotation may be
+     * applicable). If true, a multi-label Model will be trained (i.e.
+     * assuming that for each image multiple annotations may be applicable).
+     * </pre>
+     *
+     * <code>bool multi_label = 5;</code>
+     *
+     * @return The multiLabel.
+     */
+    @java.lang.Override
+    public boolean getMultiLabel() {
+      return multiLabel_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If false, a single-label (multi-class) Model will be trained (i.e.
+     * assuming that for each image just up to one annotation may be
+     * applicable). If true, a multi-label Model will be trained (i.e.
+     * assuming that for each image multiple annotations may be applicable).
+     * </pre>
+     *
+     * <code>bool multi_label = 5;</code>
+     *
+     * @param value The multiLabel to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMultiLabel(boolean value) {
+
+      multiLabel_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If false, a single-label (multi-class) Model will be trained (i.e.
+     * assuming that for each image just up to one annotation may be
+     * applicable). If true, a multi-label Model will be trained (i.e.
+     * assuming that for each image multiple annotations may be applicable).
+     * </pre>
+     *
+     * <code>bool multi_label = 5;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMultiLabel() {
+
+      multiLabel_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageClassificationInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageClassificationInputs>() {
+        @java.lang.Override
+        public AutoMlImageClassificationInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageClassificationInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageClassificationInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageClassificationInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputsOrBuilder.java
new file mode 100644
index 000000000..111ae0956
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationInputsOrBuilder.java
@@ -0,0 +1,137 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageClassificationInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  int getModelTypeValue();
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+          .ModelType
+      getModelType();
+
+  /**
+   *
+   *
+   * <pre>
+   * The ID of the `base` model. If it is specified, the new model will be
+   * trained based on the `base` model. Otherwise, the new model will be
+   * trained from scratch. The `base` model must be in the same
+   * Project and Location as the new Model to train, and have the same
+   * modelType.
+   * </pre>
+   *
+   * <code>string base_model_id = 2;</code>
+   *
+   * @return The baseModelId.
+   */
+  java.lang.String getBaseModelId();
+  /**
+   *
+   *
+   * <pre>
+   * The ID of the `base` model. If it is specified, the new model will be
+   * trained based on the `base` model. Otherwise, the new model will be
+   * trained from scratch. The `base` model must be in the same
+   * Project and Location as the new Model to train, and have the same
+   * modelType.
+   * </pre>
+   *
+   * <code>string base_model_id = 2;</code>
+   *
+   * @return The bytes for baseModelId.
+   */
+  com.google.protobuf.ByteString getBaseModelIdBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The training budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour. The actual
+   * metadata.costMilliNodeHours will be equal or less than this value.
+   * If further model training ceases to provide any improvements, it will
+   * stop without using the full budget and the metadata.successfulStopReason
+   * will be `model-converged`.
+   * Note, node_hour  = actual_hour * number_of_nodes_involved.
+   * For modelType `cloud`(default), the budget must be between 8,000
+   * and 800,000 milli node hours, inclusive. The default value is 192,000
+   * which represents one day in wall time, considering 8 nodes are used.
+   * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+   * `mobile-tf-high-accuracy-1`, the training budget must be between
+   * 1,000 and 100,000 milli node hours, inclusive.
+   * The default value is 24,000 which represents one day in wall time on a
+   * single node that is used.
+   * </pre>
+   *
+   * <code>int64 budget_milli_node_hours = 3;</code>
+   *
+   * @return The budgetMilliNodeHours.
+   */
+  long getBudgetMilliNodeHours();
+
+  /**
+   *
+   *
+   * <pre>
+   * Use the entire training budget. This disables the early stopping feature.
+   * When false the early stopping feature is enabled, which means that
+   * AutoML Image Classification might stop training before the entire
+   * training budget has been used.
+   * </pre>
+   *
+   * <code>bool disable_early_stopping = 4;</code>
+   *
+   * @return The disableEarlyStopping.
+   */
+  boolean getDisableEarlyStopping();
+
+  /**
+   *
+   *
+   * <pre>
+   * If false, a single-label (multi-class) Model will be trained (i.e.
+   * assuming that for each image just up to one annotation may be
+   * applicable). If true, a multi-label Model will be trained (i.e.
+   * assuming that for each image multiple annotations may be applicable).
+   * </pre>
+   *
+   * <code>bool multi_label = 5;</code>
+   *
+   * @return The multiLabel.
+   */
+  boolean getMultiLabel();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadata.java
new file mode 100644
index 000000000..c3c655ccb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadata.java
@@ -0,0 +1,975 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata}
+ */
+public final class AutoMlImageClassificationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata)
+    AutoMlImageClassificationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageClassificationMetadata.newBuilder() to construct.
+  private AutoMlImageClassificationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageClassificationMetadata() {
+    successfulStopReason_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageClassificationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageClassificationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              costMilliNodeHours_ = input.readInt64();
+              break;
+            }
+          case 16:
+            {
+              int rawValue = input.readEnum();
+
+              successfulStopReason_ = rawValue;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason}
+   */
+  public enum SuccessfulStopReason implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;</code>
+     */
+    SUCCESSFUL_STOP_REASON_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * The inputs.budgetMilliNodeHours had been reached.
+     * </pre>
+     *
+     * <code>BUDGET_REACHED = 1;</code>
+     */
+    BUDGET_REACHED(1),
+    /**
+     *
+     *
+     * <pre>
+     * Further training of the Model ceased to increase its quality, since it
+     * already has converged.
+     * </pre>
+     *
+     * <code>MODEL_CONVERGED = 2;</code>
+     */
+    MODEL_CONVERGED(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;</code>
+     */
+    public static final int SUCCESSFUL_STOP_REASON_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * The inputs.budgetMilliNodeHours had been reached.
+     * </pre>
+     *
+     * <code>BUDGET_REACHED = 1;</code>
+     */
+    public static final int BUDGET_REACHED_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Further training of the Model ceased to increase its quality, since it
+     * already has converged.
+     * </pre>
+     *
+     * <code>MODEL_CONVERGED = 2;</code>
+     */
+    public static final int MODEL_CONVERGED_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static SuccessfulStopReason valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static SuccessfulStopReason forNumber(int value) {
+      switch (value) {
+        case 0:
+          return SUCCESSFUL_STOP_REASON_UNSPECIFIED;
+        case 1:
+          return BUDGET_REACHED;
+        case 2:
+          return MODEL_CONVERGED;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>
+        internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>() {
+              public SuccessfulStopReason findValueByNumber(int number) {
+                return SuccessfulStopReason.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final SuccessfulStopReason[] VALUES = values();
+
+    public static SuccessfulStopReason valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private SuccessfulStopReason(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason)
+  }
+
+  public static final int COST_MILLI_NODE_HOURS_FIELD_NUMBER = 1;
+  private long costMilliNodeHours_;
+  /**
+   *
+   *
+   * <pre>
+   * The actual training cost of creating this model, expressed in
+   * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+   * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+   * </pre>
+   *
+   * <code>int64 cost_milli_node_hours = 1;</code>
+   *
+   * @return The costMilliNodeHours.
+   */
+  @java.lang.Override
+  public long getCostMilliNodeHours() {
+    return costMilliNodeHours_;
+  }
+
+  public static final int SUCCESSFUL_STOP_REASON_FIELD_NUMBER = 2;
+  private int successfulStopReason_;
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for successfulStopReason.
+   */
+  @java.lang.Override
+  public int getSuccessfulStopReasonValue() {
+    return successfulStopReason_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The successfulStopReason.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata.SuccessfulStopReason
+      getSuccessfulStopReason() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+            .SuccessfulStopReason
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.SuccessfulStopReason.valueOf(
+                successfulStopReason_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata.SuccessfulStopReason.UNRECOGNIZED
+        : result;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (costMilliNodeHours_ != 0L) {
+      output.writeInt64(1, costMilliNodeHours_);
+    }
+    if (successfulStopReason_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata.SuccessfulStopReason
+            .SUCCESSFUL_STOP_REASON_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(2, successfulStopReason_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (costMilliNodeHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, costMilliNodeHours_);
+    }
+    if (successfulStopReason_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata.SuccessfulStopReason
+            .SUCCESSFUL_STOP_REASON_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(2, successfulStopReason_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationMetadata)
+                obj;
+
+    if (getCostMilliNodeHours() != other.getCostMilliNodeHours()) return false;
+    if (successfulStopReason_ != other.successfulStopReason_) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + COST_MILLI_NODE_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCostMilliNodeHours());
+    hash = (37 * hash) + SUCCESSFUL_STOP_REASON_FIELD_NUMBER;
+    hash = (53 * hash) + successfulStopReason_;
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationMetadata.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationMetadata.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      costMilliNodeHours_ = 0L;
+
+      successfulStopReason_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageClassificationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationMetadata(this);
+      result.costMilliNodeHours_ = costMilliNodeHours_;
+      result.successfulStopReason_ = successfulStopReason_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageClassificationMetadata) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationMetadata)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageClassificationMetadata.getDefaultInstance()) return this;
+      if (other.getCostMilliNodeHours() != 0L) {
+        setCostMilliNodeHours(other.getCostMilliNodeHours());
+      }
+      if (other.successfulStopReason_ != 0) {
+        setSuccessfulStopReasonValue(other.getSuccessfulStopReasonValue());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageClassificationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private long costMilliNodeHours_;
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @return The costMilliNodeHours.
+     */
+    @java.lang.Override
+    public long getCostMilliNodeHours() {
+      return costMilliNodeHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @param value The costMilliNodeHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCostMilliNodeHours(long value) {
+
+      costMilliNodeHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearCostMilliNodeHours() {
+
+      costMilliNodeHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private int successfulStopReason_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for successfulStopReason.
+     */
+    @java.lang.Override
+    public int getSuccessfulStopReasonValue() {
+      return successfulStopReason_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for successfulStopReason to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSuccessfulStopReasonValue(int value) {
+
+      successfulStopReason_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return The successfulStopReason.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata.SuccessfulStopReason
+        getSuccessfulStopReason() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+              .SuccessfulStopReason
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageClassificationMetadata.SuccessfulStopReason.valueOf(
+                  successfulStopReason_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageClassificationMetadata.SuccessfulStopReason.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @param value The successfulStopReason to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSuccessfulStopReason(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageClassificationMetadata.SuccessfulStopReason
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      successfulStopReason_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSuccessfulStopReason() {
+
+      successfulStopReason_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageClassificationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageClassificationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageClassificationMetadata>() {
+        @java.lang.Override
+        public AutoMlImageClassificationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageClassificationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageClassificationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageClassificationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadataOrBuilder.java
new file mode 100644
index 000000000..5b580b199
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationMetadataOrBuilder.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageClassificationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The actual training cost of creating this model, expressed in
+   * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+   * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+   * </pre>
+   *
+   * <code>int64 cost_milli_node_hours = 1;</code>
+   *
+   * @return The costMilliNodeHours.
+   */
+  long getCostMilliNodeHours();
+
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for successfulStopReason.
+   */
+  int getSuccessfulStopReasonValue();
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The successfulStopReason.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+          .SuccessfulStopReason
+      getSuccessfulStopReason();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationOrBuilder.java
new file mode 100644
index 000000000..b2d2afc01
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageClassificationOrBuilder.java
@@ -0,0 +1,114 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageClassificationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationInputsOrBuilder
+      getInputsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+   * </code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  boolean hasMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+   * </code>
+   *
+   * @return The metadata.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata
+      getMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata metadata = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageClassificationMetadataOrBuilder
+      getMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetection.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetection.java
new file mode 100644
index 000000000..7e6de8a0a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetection.java
@@ -0,0 +1,1200 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Image Object Detection Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection}
+ */
+public final class AutoMlImageObjectDetection extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection)
+    AutoMlImageObjectDetectionOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageObjectDetection.newBuilder() to construct.
+  private AutoMlImageObjectDetection(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageObjectDetection() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageObjectDetection();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageObjectDetection(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlImageObjectDetectionInputs.Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlImageObjectDetectionInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlImageObjectDetectionMetadata.Builder
+                  subBuilder = null;
+              if (metadata_ != null) {
+                subBuilder = metadata_.toBuilder();
+              }
+              metadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlImageObjectDetectionMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metadata_);
+                metadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageObjectDetectionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageObjectDetectionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+                .class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+                .Builder.class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs.getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  public static final int METADATA_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      metadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+   * </code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetadata() {
+    return metadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+   * </code>
+   *
+   * @return The metadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      getMetadata() {
+    return metadata_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata.getDefaultInstance()
+        : metadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadataOrBuilder
+      getMetadataOrBuilder() {
+    return getMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    if (metadata_ != null) {
+      output.writeMessage(2, getMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    if (metadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection)
+            obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (hasMetadata() != other.hasMetadata()) return false;
+    if (hasMetadata()) {
+      if (!getMetadata().equals(other.getMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    if (hasMetadata()) {
+      hash = (37 * hash) + METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Image Object Detection Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetection.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetection.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetection_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetection(this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      if (metadataBuilder_ == null) {
+        result.metadata_ = metadata_;
+      } else {
+        result.metadata_ = metadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetection)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      if (other.hasMetadata()) {
+        mergeMetadata(other.getMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetection)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionInputs.newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs.Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata
+        metadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadataOrBuilder>
+        metadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     *
+     * @return Whether the metadata field is set.
+     */
+    public boolean hasMetadata() {
+      return metadataBuilder_ != null || metadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     *
+     * @return The metadata.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata
+        getMetadata() {
+      if (metadataBuilder_ == null) {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.getDefaultInstance()
+            : metadata_;
+      } else {
+        return metadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata
+            value) {
+      if (metadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metadata_ = value;
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.Builder
+            builderForValue) {
+      if (metadataBuilder_ == null) {
+        metadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     */
+    public Builder mergeMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata
+            value) {
+      if (metadataBuilder_ == null) {
+        if (metadata_ != null) {
+          metadata_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionMetadata.newBuilder(metadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metadata_ = value;
+        }
+        onChanged();
+      } else {
+        metadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     */
+    public Builder clearMetadata() {
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+        onChanged();
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata.Builder
+        getMetadataBuilder() {
+
+      onChanged();
+      return getMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadataOrBuilder
+        getMetadataOrBuilder() {
+      if (metadataBuilder_ != null) {
+        return metadataBuilder_.getMessageOrBuilder();
+      } else {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.getDefaultInstance()
+            : metadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadataOrBuilder>
+        getMetadataFieldBuilder() {
+      if (metadataBuilder_ == null) {
+        metadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionMetadata,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionMetadata.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionMetadataOrBuilder>(
+                getMetadata(), getParentForChildren(), isClean());
+        metadata_ = null;
+      }
+      return metadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetection();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetection
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageObjectDetection> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageObjectDetection>() {
+        @java.lang.Override
+        public AutoMlImageObjectDetection parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageObjectDetection(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageObjectDetection> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageObjectDetection> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputs.java
new file mode 100644
index 000000000..62c290f38
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputs.java
@@ -0,0 +1,1161 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs}
+ */
+public final class AutoMlImageObjectDetectionInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs)
+    AutoMlImageObjectDetectionInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageObjectDetectionInputs.newBuilder() to construct.
+  private AutoMlImageObjectDetectionInputs(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageObjectDetectionInputs() {
+    modelType_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageObjectDetectionInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageObjectDetectionInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              int rawValue = input.readEnum();
+
+              modelType_ = rawValue;
+              break;
+            }
+          case 16:
+            {
+              budgetMilliNodeHours_ = input.readInt64();
+              break;
+            }
+          case 24:
+            {
+              disableEarlyStopping_ = input.readBool();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageObjectDetectionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageObjectDetectionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType}
+   */
+  public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MODEL_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which cannot
+     * be exported. Expected to have a higher latency, but should also have a
+     * higher prediction quality than other cloud models.
+     * </pre>
+     *
+     * <code>CLOUD_HIGH_ACCURACY_1 = 1;</code>
+     */
+    CLOUD_HIGH_ACCURACY_1(1),
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which cannot
+     * be exported. Expected to have a low latency, but may have lower
+     * prediction quality than other cloud models.
+     * </pre>
+     *
+     * <code>CLOUD_LOW_LATENCY_1 = 2;</code>
+     */
+    CLOUD_LOW_LATENCY_1(2),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud can also be exported (see ModelService.ExportModel) and
+     * used on a mobile or edge device with TensorFlow afterwards.
+     * Expected to have low latency, but may have lower prediction
+     * quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_LOW_LATENCY_1 = 3;</code>
+     */
+    MOBILE_TF_LOW_LATENCY_1(3),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud can also be exported (see ModelService.ExportModel) and
+     * used on a mobile or edge device with TensorFlow afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_TF_VERSATILE_1 = 4;</code>
+     */
+    MOBILE_TF_VERSATILE_1(4),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) and
+     * used on a mobile or edge device with TensorFlow afterwards.
+     * Expected to have a higher latency, but should also have a higher
+     * prediction quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_HIGH_ACCURACY_1 = 5;</code>
+     */
+    MOBILE_TF_HIGH_ACCURACY_1(5),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MODEL_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which cannot
+     * be exported. Expected to have a higher latency, but should also have a
+     * higher prediction quality than other cloud models.
+     * </pre>
+     *
+     * <code>CLOUD_HIGH_ACCURACY_1 = 1;</code>
+     */
+    public static final int CLOUD_HIGH_ACCURACY_1_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which cannot
+     * be exported. Expected to have a low latency, but may have lower
+     * prediction quality than other cloud models.
+     * </pre>
+     *
+     * <code>CLOUD_LOW_LATENCY_1 = 2;</code>
+     */
+    public static final int CLOUD_LOW_LATENCY_1_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud can also be exported (see ModelService.ExportModel) and
+     * used on a mobile or edge device with TensorFlow afterwards.
+     * Expected to have low latency, but may have lower prediction
+     * quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_LOW_LATENCY_1 = 3;</code>
+     */
+    public static final int MOBILE_TF_LOW_LATENCY_1_VALUE = 3;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud can also be exported (see ModelService.ExportModel) and
+     * used on a mobile or edge device with TensorFlow afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_TF_VERSATILE_1 = 4;</code>
+     */
+    public static final int MOBILE_TF_VERSATILE_1_VALUE = 4;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) and
+     * used on a mobile or edge device with TensorFlow afterwards.
+     * Expected to have a higher latency, but should also have a higher
+     * prediction quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_HIGH_ACCURACY_1 = 5;</code>
+     */
+    public static final int MOBILE_TF_HIGH_ACCURACY_1_VALUE = 5;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ModelType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ModelType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MODEL_TYPE_UNSPECIFIED;
+        case 1:
+          return CLOUD_HIGH_ACCURACY_1;
+        case 2:
+          return CLOUD_LOW_LATENCY_1;
+        case 3:
+          return MOBILE_TF_LOW_LATENCY_1;
+        case 4:
+          return MOBILE_TF_VERSATILE_1;
+        case 5:
+          return MOBILE_TF_HIGH_ACCURACY_1;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ModelType> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ModelType> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<ModelType>() {
+          public ModelType findValueByNumber(int number) {
+            return ModelType.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final ModelType[] VALUES = values();
+
+    public static ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ModelType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType)
+  }
+
+  public static final int MODEL_TYPE_FIELD_NUMBER = 1;
+  private int modelType_;
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  @java.lang.Override
+  public int getModelTypeValue() {
+    return modelType_;
+  }
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs.ModelType
+      getModelType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+            .ModelType
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.ModelType.valueOf(modelType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs.ModelType.UNRECOGNIZED
+        : result;
+  }
+
+  public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 2;
+  private long budgetMilliNodeHours_;
+  /**
+   *
+   *
+   * <pre>
+   * The training budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour. The actual
+   * metadata.costMilliNodeHours will be equal or less than this value.
+   * If further model training ceases to provide any improvements, it will
+   * stop without using the full budget and the metadata.successfulStopReason
+   * will be `model-converged`.
+   * Note, node_hour  = actual_hour * number_of_nodes_involved.
+   * For modelType `cloud`(default), the budget must be between 20,000
+   * and 900,000 milli node hours, inclusive. The default value is 216,000
+   * which represents one day in wall time, considering 9 nodes are used.
+   * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+   * `mobile-tf-high-accuracy-1`
+   * the training budget must be between 1,000 and 100,000 milli node hours,
+   * inclusive. The default value is 24,000 which represents one day in
+   * wall time on a single node that is used.
+   * </pre>
+   *
+   * <code>int64 budget_milli_node_hours = 2;</code>
+   *
+   * @return The budgetMilliNodeHours.
+   */
+  @java.lang.Override
+  public long getBudgetMilliNodeHours() {
+    return budgetMilliNodeHours_;
+  }
+
+  public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER = 3;
+  private boolean disableEarlyStopping_;
+  /**
+   *
+   *
+   * <pre>
+   * Use the entire training budget. This disables the early stopping feature.
+   * When false the early stopping feature is enabled, which means that AutoML
+   * Image Object Detection might stop training before the entire training
+   * budget has been used.
+   * </pre>
+   *
+   * <code>bool disable_early_stopping = 3;</code>
+   *
+   * @return The disableEarlyStopping.
+   */
+  @java.lang.Override
+  public boolean getDisableEarlyStopping() {
+    return disableEarlyStopping_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(1, modelType_);
+    }
+    if (budgetMilliNodeHours_ != 0L) {
+      output.writeInt64(2, budgetMilliNodeHours_);
+    }
+    if (disableEarlyStopping_ != false) {
+      output.writeBool(3, disableEarlyStopping_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, modelType_);
+    }
+    if (budgetMilliNodeHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, budgetMilliNodeHours_);
+    }
+    if (disableEarlyStopping_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(3, disableEarlyStopping_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionInputs)
+                obj;
+
+    if (modelType_ != other.modelType_) return false;
+    if (getBudgetMilliNodeHours() != other.getBudgetMilliNodeHours()) return false;
+    if (getDisableEarlyStopping() != other.getDisableEarlyStopping()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + modelType_;
+    hash = (37 * hash) + BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getBudgetMilliNodeHours());
+    hash = (37 * hash) + DISABLE_EARLY_STOPPING_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getDisableEarlyStopping());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionInputs.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      modelType_ = 0;
+
+      budgetMilliNodeHours_ = 0L;
+
+      disableEarlyStopping_ = false;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionInputs(this);
+      result.modelType_ = modelType_;
+      result.budgetMilliNodeHours_ = budgetMilliNodeHours_;
+      result.disableEarlyStopping_ = disableEarlyStopping_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionInputs.getDefaultInstance()) return this;
+      if (other.modelType_ != 0) {
+        setModelTypeValue(other.getModelTypeValue());
+      }
+      if (other.getBudgetMilliNodeHours() != 0L) {
+        setBudgetMilliNodeHours(other.getBudgetMilliNodeHours());
+      }
+      if (other.getDisableEarlyStopping() != false) {
+        setDisableEarlyStopping(other.getDisableEarlyStopping());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int modelType_ = 0;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for modelType.
+     */
+    @java.lang.Override
+    public int getModelTypeValue() {
+      return modelType_;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelTypeValue(int value) {
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The modelType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs.ModelType
+        getModelType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+              .ModelType
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionInputs.ModelType.valueOf(modelType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionInputs.ModelType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelType(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionInputs.ModelType
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModelType() {
+
+      modelType_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private long budgetMilliNodeHours_;
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved.
+     * For modelType `cloud`(default), the budget must be between 20,000
+     * and 900,000 milli node hours, inclusive. The default value is 216,000
+     * which represents one day in wall time, considering 9 nodes are used.
+     * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+     * `mobile-tf-high-accuracy-1`
+     * the training budget must be between 1,000 and 100,000 milli node hours,
+     * inclusive. The default value is 24,000 which represents one day in
+     * wall time on a single node that is used.
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 2;</code>
+     *
+     * @return The budgetMilliNodeHours.
+     */
+    @java.lang.Override
+    public long getBudgetMilliNodeHours() {
+      return budgetMilliNodeHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved.
+     * For modelType `cloud`(default), the budget must be between 20,000
+     * and 900,000 milli node hours, inclusive. The default value is 216,000
+     * which represents one day in wall time, considering 9 nodes are used.
+     * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+     * `mobile-tf-high-accuracy-1`
+     * the training budget must be between 1,000 and 100,000 milli node hours,
+     * inclusive. The default value is 24,000 which represents one day in
+     * wall time on a single node that is used.
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 2;</code>
+     *
+     * @param value The budgetMilliNodeHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBudgetMilliNodeHours(long value) {
+
+      budgetMilliNodeHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved.
+     * For modelType `cloud`(default), the budget must be between 20,000
+     * and 900,000 milli node hours, inclusive. The default value is 216,000
+     * which represents one day in wall time, considering 9 nodes are used.
+     * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+     * `mobile-tf-high-accuracy-1`
+     * the training budget must be between 1,000 and 100,000 milli node hours,
+     * inclusive. The default value is 24,000 which represents one day in
+     * wall time on a single node that is used.
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearBudgetMilliNodeHours() {
+
+      budgetMilliNodeHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private boolean disableEarlyStopping_;
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * When false the early stopping feature is enabled, which means that AutoML
+     * Image Object Detection might stop training before the entire training
+     * budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 3;</code>
+     *
+     * @return The disableEarlyStopping.
+     */
+    @java.lang.Override
+    public boolean getDisableEarlyStopping() {
+      return disableEarlyStopping_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * When false the early stopping feature is enabled, which means that AutoML
+     * Image Object Detection might stop training before the entire training
+     * budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 3;</code>
+     *
+     * @param value The disableEarlyStopping to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisableEarlyStopping(boolean value) {
+
+      disableEarlyStopping_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * When false the early stopping feature is enabled, which means that AutoML
+     * Image Object Detection might stop training before the entire training
+     * budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisableEarlyStopping() {
+
+      disableEarlyStopping_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageObjectDetectionInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageObjectDetectionInputs>() {
+        @java.lang.Override
+        public AutoMlImageObjectDetectionInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageObjectDetectionInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageObjectDetectionInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageObjectDetectionInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputsOrBuilder.java
new file mode 100644
index 000000000..8c4afb6fa
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionInputsOrBuilder.java
@@ -0,0 +1,88 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageObjectDetectionInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  int getModelTypeValue();
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+          .ModelType
+      getModelType();
+
+  /**
+   *
+   *
+   * <pre>
+   * The training budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour. The actual
+   * metadata.costMilliNodeHours will be equal or less than this value.
+   * If further model training ceases to provide any improvements, it will
+   * stop without using the full budget and the metadata.successfulStopReason
+   * will be `model-converged`.
+   * Note, node_hour  = actual_hour * number_of_nodes_involved.
+   * For modelType `cloud`(default), the budget must be between 20,000
+   * and 900,000 milli node hours, inclusive. The default value is 216,000
+   * which represents one day in wall time, considering 9 nodes are used.
+   * For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+   * `mobile-tf-high-accuracy-1`
+   * the training budget must be between 1,000 and 100,000 milli node hours,
+   * inclusive. The default value is 24,000 which represents one day in
+   * wall time on a single node that is used.
+   * </pre>
+   *
+   * <code>int64 budget_milli_node_hours = 2;</code>
+   *
+   * @return The budgetMilliNodeHours.
+   */
+  long getBudgetMilliNodeHours();
+
+  /**
+   *
+   *
+   * <pre>
+   * Use the entire training budget. This disables the early stopping feature.
+   * When false the early stopping feature is enabled, which means that AutoML
+   * Image Object Detection might stop training before the entire training
+   * budget has been used.
+   * </pre>
+   *
+   * <code>bool disable_early_stopping = 3;</code>
+   *
+   * @return The disableEarlyStopping.
+   */
+  boolean getDisableEarlyStopping();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadata.java
new file mode 100644
index 000000000..2226fd2d4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadata.java
@@ -0,0 +1,979 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata}
+ */
+public final class AutoMlImageObjectDetectionMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata)
+    AutoMlImageObjectDetectionMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageObjectDetectionMetadata.newBuilder() to construct.
+  private AutoMlImageObjectDetectionMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageObjectDetectionMetadata() {
+    successfulStopReason_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageObjectDetectionMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageObjectDetectionMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              costMilliNodeHours_ = input.readInt64();
+              break;
+            }
+          case 16:
+            {
+              int rawValue = input.readEnum();
+
+              successfulStopReason_ = rawValue;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageObjectDetectionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLImageObjectDetectionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason}
+   */
+  public enum SuccessfulStopReason implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;</code>
+     */
+    SUCCESSFUL_STOP_REASON_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * The inputs.budgetMilliNodeHours had been reached.
+     * </pre>
+     *
+     * <code>BUDGET_REACHED = 1;</code>
+     */
+    BUDGET_REACHED(1),
+    /**
+     *
+     *
+     * <pre>
+     * Further training of the Model ceased to increase its quality, since it
+     * already has converged.
+     * </pre>
+     *
+     * <code>MODEL_CONVERGED = 2;</code>
+     */
+    MODEL_CONVERGED(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;</code>
+     */
+    public static final int SUCCESSFUL_STOP_REASON_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * The inputs.budgetMilliNodeHours had been reached.
+     * </pre>
+     *
+     * <code>BUDGET_REACHED = 1;</code>
+     */
+    public static final int BUDGET_REACHED_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Further training of the Model ceased to increase its quality, since it
+     * already has converged.
+     * </pre>
+     *
+     * <code>MODEL_CONVERGED = 2;</code>
+     */
+    public static final int MODEL_CONVERGED_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static SuccessfulStopReason valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static SuccessfulStopReason forNumber(int value) {
+      switch (value) {
+        case 0:
+          return SUCCESSFUL_STOP_REASON_UNSPECIFIED;
+        case 1:
+          return BUDGET_REACHED;
+        case 2:
+          return MODEL_CONVERGED;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>
+        internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>() {
+              public SuccessfulStopReason findValueByNumber(int number) {
+                return SuccessfulStopReason.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final SuccessfulStopReason[] VALUES = values();
+
+    public static SuccessfulStopReason valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private SuccessfulStopReason(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason)
+  }
+
+  public static final int COST_MILLI_NODE_HOURS_FIELD_NUMBER = 1;
+  private long costMilliNodeHours_;
+  /**
+   *
+   *
+   * <pre>
+   * The actual training cost of creating this model, expressed in
+   * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+   * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+   * </pre>
+   *
+   * <code>int64 cost_milli_node_hours = 1;</code>
+   *
+   * @return The costMilliNodeHours.
+   */
+  @java.lang.Override
+  public long getCostMilliNodeHours() {
+    return costMilliNodeHours_;
+  }
+
+  public static final int SUCCESSFUL_STOP_REASON_FIELD_NUMBER = 2;
+  private int successfulStopReason_;
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for successfulStopReason.
+   */
+  @java.lang.Override
+  public int getSuccessfulStopReasonValue() {
+    return successfulStopReason_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The successfulStopReason.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason
+      getSuccessfulStopReason() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata
+            .SuccessfulStopReason
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason.valueOf(
+                successfulStopReason_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason.UNRECOGNIZED
+        : result;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (costMilliNodeHours_ != 0L) {
+      output.writeInt64(1, costMilliNodeHours_);
+    }
+    if (successfulStopReason_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason
+            .SUCCESSFUL_STOP_REASON_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(2, successfulStopReason_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (costMilliNodeHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, costMilliNodeHours_);
+    }
+    if (successfulStopReason_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason
+            .SUCCESSFUL_STOP_REASON_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(2, successfulStopReason_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionMetadata)
+                obj;
+
+    if (getCostMilliNodeHours() != other.getCostMilliNodeHours()) return false;
+    if (successfulStopReason_ != other.successfulStopReason_) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + COST_MILLI_NODE_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCostMilliNodeHours());
+    hash = (37 * hash) + SUCCESSFUL_STOP_REASON_FIELD_NUMBER;
+    hash = (53 * hash) + successfulStopReason_;
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionMetadata
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionMetadata.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionMetadata.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      costMilliNodeHours_ = 0L;
+
+      successfulStopReason_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageObjectDetectionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageObjectDetectionMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionMetadata
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionMetadata
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionMetadata(this);
+      result.costMilliNodeHours_ = costMilliNodeHours_;
+      result.successfulStopReason_ = successfulStopReason_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionMetadata) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionMetadata)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionMetadata.getDefaultInstance()) return this;
+      if (other.getCostMilliNodeHours() != 0L) {
+        setCostMilliNodeHours(other.getCostMilliNodeHours());
+      }
+      if (other.successfulStopReason_ != 0) {
+        setSuccessfulStopReasonValue(other.getSuccessfulStopReasonValue());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionMetadata
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageObjectDetectionMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private long costMilliNodeHours_;
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @return The costMilliNodeHours.
+     */
+    @java.lang.Override
+    public long getCostMilliNodeHours() {
+      return costMilliNodeHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @param value The costMilliNodeHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCostMilliNodeHours(long value) {
+
+      costMilliNodeHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearCostMilliNodeHours() {
+
+      costMilliNodeHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private int successfulStopReason_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for successfulStopReason.
+     */
+    @java.lang.Override
+    public int getSuccessfulStopReasonValue() {
+      return successfulStopReason_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for successfulStopReason to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSuccessfulStopReasonValue(int value) {
+
+      successfulStopReason_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return The successfulStopReason.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason
+        getSuccessfulStopReason() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason.valueOf(
+                  successfulStopReason_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @param value The successfulStopReason to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSuccessfulStopReason(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageObjectDetectionMetadata.SuccessfulStopReason
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      successfulStopReason_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSuccessfulStopReason() {
+
+      successfulStopReason_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageObjectDetectionMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageObjectDetectionMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageObjectDetectionMetadata>() {
+        @java.lang.Override
+        public AutoMlImageObjectDetectionMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageObjectDetectionMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageObjectDetectionMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageObjectDetectionMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadataOrBuilder.java
new file mode 100644
index 000000000..34f07672c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionMetadataOrBuilder.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageObjectDetectionMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The actual training cost of creating this model, expressed in
+   * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+   * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+   * </pre>
+   *
+   * <code>int64 cost_milli_node_hours = 1;</code>
+   *
+   * @return The costMilliNodeHours.
+   */
+  long getCostMilliNodeHours();
+
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for successfulStopReason.
+   */
+  int getSuccessfulStopReasonValue();
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The successfulStopReason.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata
+          .SuccessfulStopReason
+      getSuccessfulStopReason();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionOrBuilder.java
new file mode 100644
index 000000000..db01eb64c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageObjectDetectionOrBuilder.java
@@ -0,0 +1,114 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageObjectDetectionOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionInputsOrBuilder
+      getInputsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+   * </code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  boolean hasMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+   * </code>
+   *
+   * @return The metadata.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata
+      getMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata metadata = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageObjectDetectionMetadataOrBuilder
+      getMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentation.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentation.java
new file mode 100644
index 000000000..ab0aac43d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentation.java
@@ -0,0 +1,1173 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Image Segmentation Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation}
+ */
+public final class AutoMlImageSegmentation extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation)
+    AutoMlImageSegmentationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageSegmentation.newBuilder() to construct.
+  private AutoMlImageSegmentation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageSegmentation() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageSegmentation();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageSegmentation(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlImageSegmentationInputs.Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlImageSegmentationInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlImageSegmentationMetadata.Builder
+                  subBuilder = null;
+              if (metadata_ != null) {
+                subBuilder = metadata_.toBuilder();
+              }
+              metadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlImageSegmentationMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metadata_);
+                metadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLImageSegmentationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLImageSegmentationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+                .class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+                .Builder.class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+            .getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  public static final int METADATA_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      metadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+   * </code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetadata() {
+    return metadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+   * </code>
+   *
+   * @return The metadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      getMetadata() {
+    return metadata_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata.getDefaultInstance()
+        : metadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadataOrBuilder
+      getMetadataOrBuilder() {
+    return getMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    if (metadata_ != null) {
+      output.writeMessage(2, getMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    if (metadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation) obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (hasMetadata() != other.hasMetadata()) return false;
+    if (hasMetadata()) {
+      if (!getMetadata().equals(other.getMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    if (hasMetadata()) {
+      hash = (37 * hash) + METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Image Segmentation Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentation_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation result =
+          new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation(
+              this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      if (metadataBuilder_ == null) {
+        result.metadata_ = metadata_;
+      } else {
+        result.metadata_ = metadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      if (other.hasMetadata()) {
+        mergeMetadata(other.getMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs.getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+                .Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationInputs.newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs.Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs.getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata
+        metadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadataOrBuilder>
+        metadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     *
+     * @return Whether the metadata field is set.
+     */
+    public boolean hasMetadata() {
+      return metadataBuilder_ != null || metadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     *
+     * @return The metadata.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata
+        getMetadata() {
+      if (metadataBuilder_ == null) {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata.getDefaultInstance()
+            : metadata_;
+      } else {
+        return metadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+            value) {
+      if (metadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metadata_ = value;
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+                .Builder
+            builderForValue) {
+      if (metadataBuilder_ == null) {
+        metadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     */
+    public Builder mergeMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+            value) {
+      if (metadataBuilder_ == null) {
+        if (metadata_ != null) {
+          metadata_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationMetadata.newBuilder(metadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metadata_ = value;
+        }
+        onChanged();
+      } else {
+        metadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     */
+    public Builder clearMetadata() {
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+        onChanged();
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata.Builder
+        getMetadataBuilder() {
+
+      onChanged();
+      return getMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadataOrBuilder
+        getMetadataOrBuilder() {
+      if (metadataBuilder_ != null) {
+        return metadataBuilder_.getMessageOrBuilder();
+      } else {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata.getDefaultInstance()
+            : metadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadataOrBuilder>
+        getMetadataFieldBuilder() {
+      if (metadataBuilder_ == null) {
+        metadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationMetadata,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationMetadata.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationMetadataOrBuilder>(
+                getMetadata(), getParentForChildren(), isClean());
+        metadata_ = null;
+      }
+      return metadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentation
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageSegmentation> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageSegmentation>() {
+        @java.lang.Override
+        public AutoMlImageSegmentation parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageSegmentation(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageSegmentation> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageSegmentation> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java
new file mode 100644
index 000000000..8f7980293
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java
@@ -0,0 +1,1194 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs}
+ */
+public final class AutoMlImageSegmentationInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs)
+    AutoMlImageSegmentationInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageSegmentationInputs.newBuilder() to construct.
+  private AutoMlImageSegmentationInputs(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageSegmentationInputs() {
+    modelType_ = 0;
+    baseModelId_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageSegmentationInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageSegmentationInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              int rawValue = input.readEnum();
+
+              modelType_ = rawValue;
+              break;
+            }
+          case 16:
+            {
+              budgetMilliNodeHours_ = input.readInt64();
+              break;
+            }
+          case 26:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              baseModelId_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLImageSegmentationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLImageSegmentationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType}
+   */
+  public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MODEL_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * A model to be used via prediction calls to uCAIP API. Expected
+     * to have a higher latency, but should also have a higher prediction
+     * quality than other models.
+     * </pre>
+     *
+     * <code>CLOUD_HIGH_ACCURACY_1 = 1;</code>
+     */
+    CLOUD_HIGH_ACCURACY_1(1),
+    /**
+     *
+     *
+     * <pre>
+     * A model to be used via prediction calls to uCAIP API. Expected
+     * to have a lower latency but relatively lower prediction quality.
+     * </pre>
+     *
+     * <code>CLOUD_LOW_ACCURACY_1 = 2;</code>
+     */
+    CLOUD_LOW_ACCURACY_1(2),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * model and used on a mobile or edge device afterwards.
+     * Expected to have low latency, but may have lower prediction
+     * quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_LOW_LATENCY_1 = 3;</code>
+     */
+    MOBILE_TF_LOW_LATENCY_1(3),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MODEL_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * A model to be used via prediction calls to uCAIP API. Expected
+     * to have a higher latency, but should also have a higher prediction
+     * quality than other models.
+     * </pre>
+     *
+     * <code>CLOUD_HIGH_ACCURACY_1 = 1;</code>
+     */
+    public static final int CLOUD_HIGH_ACCURACY_1_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * A model to be used via prediction calls to uCAIP API. Expected
+     * to have a lower latency but relatively lower prediction quality.
+     * </pre>
+     *
+     * <code>CLOUD_LOW_ACCURACY_1 = 2;</code>
+     */
+    public static final int CLOUD_LOW_ACCURACY_1_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * model and used on a mobile or edge device afterwards.
+     * Expected to have low latency, but may have lower prediction
+     * quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_LOW_LATENCY_1 = 3;</code>
+     */
+    public static final int MOBILE_TF_LOW_LATENCY_1_VALUE = 3;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ModelType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ModelType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MODEL_TYPE_UNSPECIFIED;
+        case 1:
+          return CLOUD_HIGH_ACCURACY_1;
+        case 2:
+          return CLOUD_LOW_ACCURACY_1;
+        case 3:
+          return MOBILE_TF_LOW_LATENCY_1;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ModelType> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ModelType> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<ModelType>() {
+          public ModelType findValueByNumber(int number) {
+            return ModelType.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final ModelType[] VALUES = values();
+
+    public static ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ModelType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType)
+  }
+
+  public static final int MODEL_TYPE_FIELD_NUMBER = 1;
+  private int modelType_;
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  @java.lang.Override
+  public int getModelTypeValue() {
+    return modelType_;
+  }
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+          .ModelType
+      getModelType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+            .ModelType
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationInputs.ModelType.valueOf(modelType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+            .ModelType.UNRECOGNIZED
+        : result;
+  }
+
+  public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 2;
+  private long budgetMilliNodeHours_;
+  /**
+   *
+   *
+   * <pre>
+   * The training budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour. The actual
+   * metadata.costMilliNodeHours will be equal or less than this value.
+   * If further model training ceases to provide any improvements, it will
+   * stop without using the full budget and the metadata.successfulStopReason
+   * will be `model-converged`.
+   * Note, node_hour  = actual_hour * number_of_nodes_involved. Or
+   * actaul_wall_clock_hours = train_budget_milli_node_hours /
+   *                           (number_of_nodes_involved * 1000)
+   * For modelType `cloud-high-accuracy-1`(default), the budget must be between
+   * 20,000 and 2,000,000 milli node hours, inclusive. The default value is
+   * 192,000 which represents one day in wall time
+   * (1000 milli * 24 hours * 8 nodes).
+   * </pre>
+   *
+   * <code>int64 budget_milli_node_hours = 2;</code>
+   *
+   * @return The budgetMilliNodeHours.
+   */
+  @java.lang.Override
+  public long getBudgetMilliNodeHours() {
+    return budgetMilliNodeHours_;
+  }
+
+  public static final int BASE_MODEL_ID_FIELD_NUMBER = 3;
+  private volatile java.lang.Object baseModelId_;
+  /**
+   *
+   *
+   * <pre>
+   * The ID of the `base` model. If it is specified, the new model will be
+   * trained based on the `base` model. Otherwise, the new model will be
+   * trained from scratch. The `base` model must be in the same
+   * Project and Location as the new Model to train, and have the same
+   * modelType.
+   * </pre>
+   *
+   * <code>string base_model_id = 3;</code>
+   *
+   * @return The baseModelId.
+   */
+  @java.lang.Override
+  public java.lang.String getBaseModelId() {
+    java.lang.Object ref = baseModelId_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      baseModelId_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The ID of the `base` model. If it is specified, the new model will be
+   * trained based on the `base` model. Otherwise, the new model will be
+   * trained from scratch. The `base` model must be in the same
+   * Project and Location as the new Model to train, and have the same
+   * modelType.
+   * </pre>
+   *
+   * <code>string base_model_id = 3;</code>
+   *
+   * @return The bytes for baseModelId.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getBaseModelIdBytes() {
+    java.lang.Object ref = baseModelId_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      baseModelId_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(1, modelType_);
+    }
+    if (budgetMilliNodeHours_ != 0L) {
+      output.writeInt64(2, budgetMilliNodeHours_);
+    }
+    if (!getBaseModelIdBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 3, baseModelId_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, modelType_);
+    }
+    if (budgetMilliNodeHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(2, budgetMilliNodeHours_);
+    }
+    if (!getBaseModelIdBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, baseModelId_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationInputs)
+                obj;
+
+    if (modelType_ != other.modelType_) return false;
+    if (getBudgetMilliNodeHours() != other.getBudgetMilliNodeHours()) return false;
+    if (!getBaseModelId().equals(other.getBaseModelId())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + modelType_;
+    hash = (37 * hash) + BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getBudgetMilliNodeHours());
+    hash = (37 * hash) + BASE_MODEL_ID_FIELD_NUMBER;
+    hash = (53 * hash) + getBaseModelId().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationInputs.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      modelType_ = 0;
+
+      budgetMilliNodeHours_ = 0L;
+
+      baseModelId_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationInputs(this);
+      result.modelType_ = modelType_;
+      result.budgetMilliNodeHours_ = budgetMilliNodeHours_;
+      result.baseModelId_ = baseModelId_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageSegmentationInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageSegmentationInputs.getDefaultInstance()) return this;
+      if (other.modelType_ != 0) {
+        setModelTypeValue(other.getModelTypeValue());
+      }
+      if (other.getBudgetMilliNodeHours() != 0L) {
+        setBudgetMilliNodeHours(other.getBudgetMilliNodeHours());
+      }
+      if (!other.getBaseModelId().isEmpty()) {
+        baseModelId_ = other.baseModelId_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int modelType_ = 0;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for modelType.
+     */
+    @java.lang.Override
+    public int getModelTypeValue() {
+      return modelType_;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelTypeValue(int value) {
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The modelType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs.ModelType
+        getModelType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+              .ModelType
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationInputs.ModelType.valueOf(modelType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageSegmentationInputs.ModelType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelType(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+                .ModelType
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModelType() {
+
+      modelType_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private long budgetMilliNodeHours_;
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved. Or
+     * actaul_wall_clock_hours = train_budget_milli_node_hours /
+     *                           (number_of_nodes_involved * 1000)
+     * For modelType `cloud-high-accuracy-1`(default), the budget must be between
+     * 20,000 and 2,000,000 milli node hours, inclusive. The default value is
+     * 192,000 which represents one day in wall time
+     * (1000 milli * 24 hours * 8 nodes).
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 2;</code>
+     *
+     * @return The budgetMilliNodeHours.
+     */
+    @java.lang.Override
+    public long getBudgetMilliNodeHours() {
+      return budgetMilliNodeHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved. Or
+     * actaul_wall_clock_hours = train_budget_milli_node_hours /
+     *                           (number_of_nodes_involved * 1000)
+     * For modelType `cloud-high-accuracy-1`(default), the budget must be between
+     * 20,000 and 2,000,000 milli node hours, inclusive. The default value is
+     * 192,000 which represents one day in wall time
+     * (1000 milli * 24 hours * 8 nodes).
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 2;</code>
+     *
+     * @param value The budgetMilliNodeHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBudgetMilliNodeHours(long value) {
+
+      budgetMilliNodeHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The training budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour. The actual
+     * metadata.costMilliNodeHours will be equal or less than this value.
+     * If further model training ceases to provide any improvements, it will
+     * stop without using the full budget and the metadata.successfulStopReason
+     * will be `model-converged`.
+     * Note, node_hour  = actual_hour * number_of_nodes_involved. Or
+     * actaul_wall_clock_hours = train_budget_milli_node_hours /
+     *                           (number_of_nodes_involved * 1000)
+     * For modelType `cloud-high-accuracy-1`(default), the budget must be between
+     * 20,000 and 2,000,000 milli node hours, inclusive. The default value is
+     * 192,000 which represents one day in wall time
+     * (1000 milli * 24 hours * 8 nodes).
+     * </pre>
+     *
+     * <code>int64 budget_milli_node_hours = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearBudgetMilliNodeHours() {
+
+      budgetMilliNodeHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object baseModelId_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 3;</code>
+     *
+     * @return The baseModelId.
+     */
+    public java.lang.String getBaseModelId() {
+      java.lang.Object ref = baseModelId_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        baseModelId_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 3;</code>
+     *
+     * @return The bytes for baseModelId.
+     */
+    public com.google.protobuf.ByteString getBaseModelIdBytes() {
+      java.lang.Object ref = baseModelId_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        baseModelId_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 3;</code>
+     *
+     * @param value The baseModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBaseModelId(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      baseModelId_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 3;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearBaseModelId() {
+
+      baseModelId_ = getDefaultInstance().getBaseModelId();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The ID of the `base` model. If it is specified, the new model will be
+     * trained based on the `base` model. Otherwise, the new model will be
+     * trained from scratch. The `base` model must be in the same
+     * Project and Location as the new Model to train, and have the same
+     * modelType.
+     * </pre>
+     *
+     * <code>string base_model_id = 3;</code>
+     *
+     * @param value The bytes for baseModelId to set.
+     * @return This builder for chaining.
+     */
+    public Builder setBaseModelIdBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      baseModelId_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageSegmentationInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageSegmentationInputs>() {
+        @java.lang.Override
+        public AutoMlImageSegmentationInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageSegmentationInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageSegmentationInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageSegmentationInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputsOrBuilder.java
new file mode 100644
index 000000000..ca469b8a9
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationInputsOrBuilder.java
@@ -0,0 +1,102 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageSegmentationInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  int getModelTypeValue();
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+          .ModelType
+      getModelType();
+
+  /**
+   *
+   *
+   * <pre>
+   * The training budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour. The actual
+   * metadata.costMilliNodeHours will be equal or less than this value.
+   * If further model training ceases to provide any improvements, it will
+   * stop without using the full budget and the metadata.successfulStopReason
+   * will be `model-converged`.
+   * Note, node_hour  = actual_hour * number_of_nodes_involved. Or
+   * actaul_wall_clock_hours = train_budget_milli_node_hours /
+   *                           (number_of_nodes_involved * 1000)
+   * For modelType `cloud-high-accuracy-1`(default), the budget must be between
+   * 20,000 and 2,000,000 milli node hours, inclusive. The default value is
+   * 192,000 which represents one day in wall time
+   * (1000 milli * 24 hours * 8 nodes).
+   * </pre>
+   *
+   * <code>int64 budget_milli_node_hours = 2;</code>
+   *
+   * @return The budgetMilliNodeHours.
+   */
+  long getBudgetMilliNodeHours();
+
+  /**
+   *
+   *
+   * <pre>
+   * The ID of the `base` model. If it is specified, the new model will be
+   * trained based on the `base` model. Otherwise, the new model will be
+   * trained from scratch. The `base` model must be in the same
+   * Project and Location as the new Model to train, and have the same
+   * modelType.
+   * </pre>
+   *
+   * <code>string base_model_id = 3;</code>
+   *
+   * @return The baseModelId.
+   */
+  java.lang.String getBaseModelId();
+  /**
+   *
+   *
+   * <pre>
+   * The ID of the `base` model. If it is specified, the new model will be
+   * trained based on the `base` model. Otherwise, the new model will be
+   * trained from scratch. The `base` model must be in the same
+   * Project and Location as the new Model to train, and have the same
+   * modelType.
+   * </pre>
+   *
+   * <code>string base_model_id = 3;</code>
+   *
+   * @return The bytes for baseModelId.
+   */
+  com.google.protobuf.ByteString getBaseModelIdBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadata.java
new file mode 100644
index 000000000..9b22a497d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadata.java
@@ -0,0 +1,969 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata}
+ */
+public final class AutoMlImageSegmentationMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata)
+    AutoMlImageSegmentationMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlImageSegmentationMetadata.newBuilder() to construct.
+  private AutoMlImageSegmentationMetadata(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlImageSegmentationMetadata() {
+    successfulStopReason_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlImageSegmentationMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlImageSegmentationMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              costMilliNodeHours_ = input.readInt64();
+              break;
+            }
+          case 16:
+            {
+              int rawValue = input.readEnum();
+
+              successfulStopReason_ = rawValue;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLImageSegmentationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLImageSegmentationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason}
+   */
+  public enum SuccessfulStopReason implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;</code>
+     */
+    SUCCESSFUL_STOP_REASON_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * The inputs.budgetMilliNodeHours had been reached.
+     * </pre>
+     *
+     * <code>BUDGET_REACHED = 1;</code>
+     */
+    BUDGET_REACHED(1),
+    /**
+     *
+     *
+     * <pre>
+     * Further training of the Model ceased to increase its quality, since it
+     * already has converged.
+     * </pre>
+     *
+     * <code>MODEL_CONVERGED = 2;</code>
+     */
+    MODEL_CONVERGED(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;</code>
+     */
+    public static final int SUCCESSFUL_STOP_REASON_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * The inputs.budgetMilliNodeHours had been reached.
+     * </pre>
+     *
+     * <code>BUDGET_REACHED = 1;</code>
+     */
+    public static final int BUDGET_REACHED_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Further training of the Model ceased to increase its quality, since it
+     * already has converged.
+     * </pre>
+     *
+     * <code>MODEL_CONVERGED = 2;</code>
+     */
+    public static final int MODEL_CONVERGED_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static SuccessfulStopReason valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static SuccessfulStopReason forNumber(int value) {
+      switch (value) {
+        case 0:
+          return SUCCESSFUL_STOP_REASON_UNSPECIFIED;
+        case 1:
+          return BUDGET_REACHED;
+        case 2:
+          return MODEL_CONVERGED;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>
+        internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<SuccessfulStopReason>() {
+              public SuccessfulStopReason findValueByNumber(int number) {
+                return SuccessfulStopReason.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final SuccessfulStopReason[] VALUES = values();
+
+    public static SuccessfulStopReason valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private SuccessfulStopReason(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason)
+  }
+
+  public static final int COST_MILLI_NODE_HOURS_FIELD_NUMBER = 1;
+  private long costMilliNodeHours_;
+  /**
+   *
+   *
+   * <pre>
+   * The actual training cost of creating this model, expressed in
+   * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+   * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+   * </pre>
+   *
+   * <code>int64 cost_milli_node_hours = 1;</code>
+   *
+   * @return The costMilliNodeHours.
+   */
+  @java.lang.Override
+  public long getCostMilliNodeHours() {
+    return costMilliNodeHours_;
+  }
+
+  public static final int SUCCESSFUL_STOP_REASON_FIELD_NUMBER = 2;
+  private int successfulStopReason_;
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for successfulStopReason.
+   */
+  @java.lang.Override
+  public int getSuccessfulStopReasonValue() {
+    return successfulStopReason_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The successfulStopReason.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata.SuccessfulStopReason
+      getSuccessfulStopReason() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+            .SuccessfulStopReason
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlImageSegmentationMetadata.SuccessfulStopReason.valueOf(
+                successfulStopReason_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata.SuccessfulStopReason.UNRECOGNIZED
+        : result;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (costMilliNodeHours_ != 0L) {
+      output.writeInt64(1, costMilliNodeHours_);
+    }
+    if (successfulStopReason_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata.SuccessfulStopReason.SUCCESSFUL_STOP_REASON_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(2, successfulStopReason_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (costMilliNodeHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, costMilliNodeHours_);
+    }
+    if (successfulStopReason_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata.SuccessfulStopReason.SUCCESSFUL_STOP_REASON_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(2, successfulStopReason_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationMetadata)
+                obj;
+
+    if (getCostMilliNodeHours() != other.getCostMilliNodeHours()) return false;
+    if (successfulStopReason_ != other.successfulStopReason_) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + COST_MILLI_NODE_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCostMilliNodeHours());
+    hash = (37 * hash) + SUCCESSFUL_STOP_REASON_FIELD_NUMBER;
+    hash = (53 * hash) + successfulStopReason_;
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationMetadata.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationMetadata.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      costMilliNodeHours_ = 0L;
+
+      successfulStopReason_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLImageSegmentationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlImageSegmentationMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationMetadata(this);
+      result.costMilliNodeHours_ = costMilliNodeHours_;
+      result.successfulStopReason_ = successfulStopReason_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageSegmentationMetadata) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationMetadata)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageSegmentationMetadata.getDefaultInstance()) return this;
+      if (other.getCostMilliNodeHours() != 0L) {
+        setCostMilliNodeHours(other.getCostMilliNodeHours());
+      }
+      if (other.successfulStopReason_ != 0) {
+        setSuccessfulStopReasonValue(other.getSuccessfulStopReasonValue());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlImageSegmentationMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private long costMilliNodeHours_;
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @return The costMilliNodeHours.
+     */
+    @java.lang.Override
+    public long getCostMilliNodeHours() {
+      return costMilliNodeHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @param value The costMilliNodeHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCostMilliNodeHours(long value) {
+
+      costMilliNodeHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The actual training cost of creating this model, expressed in
+     * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+     * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+     * </pre>
+     *
+     * <code>int64 cost_milli_node_hours = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearCostMilliNodeHours() {
+
+      costMilliNodeHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private int successfulStopReason_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for successfulStopReason.
+     */
+    @java.lang.Override
+    public int getSuccessfulStopReasonValue() {
+      return successfulStopReason_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for successfulStopReason to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSuccessfulStopReasonValue(int value) {
+
+      successfulStopReason_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return The successfulStopReason.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata.SuccessfulStopReason
+        getSuccessfulStopReason() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+              .SuccessfulStopReason
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlImageSegmentationMetadata.SuccessfulStopReason.valueOf(
+                  successfulStopReason_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlImageSegmentationMetadata.SuccessfulStopReason.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @param value The successfulStopReason to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSuccessfulStopReason(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+                .SuccessfulStopReason
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      successfulStopReason_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * For successful job completions, this is the reason why the job has
+     * finished.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSuccessfulStopReason() {
+
+      successfulStopReason_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlImageSegmentationMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlImageSegmentationMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlImageSegmentationMetadata>() {
+        @java.lang.Override
+        public AutoMlImageSegmentationMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlImageSegmentationMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlImageSegmentationMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlImageSegmentationMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadataOrBuilder.java
new file mode 100644
index 000000000..ebeabbacf
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationMetadataOrBuilder.java
@@ -0,0 +1,73 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageSegmentationMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The actual training cost of creating this model, expressed in
+   * milli node hours, i.e. 1,000 value in this field means 1 node hour.
+   * Guaranteed to not exceed inputs.budgetMilliNodeHours.
+   * </pre>
+   *
+   * <code>int64 cost_milli_node_hours = 1;</code>
+   *
+   * @return The costMilliNodeHours.
+   */
+  long getCostMilliNodeHours();
+
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for successfulStopReason.
+   */
+  int getSuccessfulStopReasonValue();
+  /**
+   *
+   *
+   * <pre>
+   * For successful job completions, this is the reason why the job has
+   * finished.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
+   * </code>
+   *
+   * @return The successfulStopReason.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+          .SuccessfulStopReason
+      getSuccessfulStopReason();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationOrBuilder.java
new file mode 100644
index 000000000..e66556a07
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlImageSegmentationOrBuilder.java
@@ -0,0 +1,113 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlImageSegmentationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationInputsOrBuilder
+      getInputsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+   * </code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  boolean hasMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+   * </code>
+   *
+   * @return The metadata.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
+      getMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata metadata = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlImageSegmentationMetadataOrBuilder
+      getMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTables.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTables.java
new file mode 100644
index 000000000..b0837efaa
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTables.java
@@ -0,0 +1,1121 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Tables Model.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables}
+ */
+public final class AutoMlTables extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables)
+    AutoMlTablesOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTables.newBuilder() to construct.
+  private AutoMlTables(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTables() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTables();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTables(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlTablesInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                      .Builder
+                  subBuilder = null;
+              if (metadata_ != null) {
+                subBuilder = metadata_.toBuilder();
+              }
+              metadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlTablesMetadata.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metadata_);
+                metadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables.Builder
+                .class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  public static final int METADATA_FIELD_NUMBER = 2;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      metadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+   * </code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasMetadata() {
+    return metadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+   * </code>
+   *
+   * @return The metadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      getMetadata() {
+    return metadata_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+            .getDefaultInstance()
+        : metadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadataOrBuilder
+      getMetadataOrBuilder() {
+    return getMetadata();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    if (metadata_ != null) {
+      output.writeMessage(2, getMetadata());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    if (metadata_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getMetadata());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables) obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (hasMetadata() != other.hasMetadata()) return false;
+    if (hasMetadata()) {
+      if (!getMetadata().equals(other.getMetadata())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    if (hasMetadata()) {
+      hash = (37 * hash) + METADATA_FIELD_NUMBER;
+      hash = (53 * hash) + getMetadata().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Tables Model.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables.Builder
+                  .class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTables_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables result =
+          new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables(this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      if (metadataBuilder_ == null) {
+        result.metadata_ = metadata_;
+      } else {
+        result.metadata_ = metadataBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      if (other.hasMetadata()) {
+        mergeMetadata(other.getMetadata());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables parsedMessage =
+          null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTablesInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTablesInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTablesInputsOrBuilder>(getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+        metadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                .Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTablesMetadataOrBuilder>
+        metadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     *
+     * @return Whether the metadata field is set.
+     */
+    public boolean hasMetadata() {
+      return metadataBuilder_ != null || metadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     *
+     * @return The metadata.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+        getMetadata() {
+      if (metadataBuilder_ == null) {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                .getDefaultInstance()
+            : metadata_;
+      } else {
+        return metadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata value) {
+      if (metadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metadata_ = value;
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata.Builder
+            builderForValue) {
+      if (metadataBuilder_ == null) {
+        metadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     */
+    public Builder mergeMetadata(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata value) {
+      if (metadataBuilder_ == null) {
+        if (metadata_ != null) {
+          metadata_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                  .newBuilder(metadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metadata_ = value;
+        }
+        onChanged();
+      } else {
+        metadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     */
+    public Builder clearMetadata() {
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+        onChanged();
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata.Builder
+        getMetadataBuilder() {
+
+      onChanged();
+      return getMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTablesMetadataOrBuilder
+        getMetadataOrBuilder() {
+      if (metadataBuilder_ != null) {
+        return metadataBuilder_.getMessageOrBuilder();
+      } else {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                .getDefaultInstance()
+            : metadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata information.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                .Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTablesMetadataOrBuilder>
+        getMetadataFieldBuilder() {
+      if (metadataBuilder_ == null) {
+        metadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                    .Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTablesMetadataOrBuilder>(
+                getMetadata(), getParentForChildren(), isClean());
+        metadata_ = null;
+      }
+      return metadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTables> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTables>() {
+        @java.lang.Override
+        public AutoMlTables parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTables(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTables> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTables> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputs.java
new file mode 100644
index 000000000..a678839d4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputs.java
@@ -0,0 +1,12499 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs}
+ */
+public final class AutoMlTablesInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs)
+    AutoMlTablesInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTablesInputs.newBuilder() to construct.
+  private AutoMlTablesInputs(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTablesInputs() {
+    predictionType_ = "";
+    targetColumn_ = "";
+    transformations_ = java.util.Collections.emptyList();
+    optimizationObjective_ = "";
+    weightColumnName_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTablesInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTablesInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              predictionType_ = s;
+              break;
+            }
+          case 18:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              targetColumn_ = s;
+              break;
+            }
+          case 26:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                transformations_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              transformations_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlTablesInputs.Transformation.parser(),
+                      extensionRegistry));
+              break;
+            }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              optimizationObjective_ = s;
+              break;
+            }
+          case 45:
+            {
+              additionalOptimizationObjectiveConfigCase_ = 5;
+              additionalOptimizationObjectiveConfig_ = input.readFloat();
+              break;
+            }
+          case 53:
+            {
+              additionalOptimizationObjectiveConfigCase_ = 6;
+              additionalOptimizationObjectiveConfig_ = input.readFloat();
+              break;
+            }
+          case 56:
+            {
+              trainBudgetMilliNodeHours_ = input.readInt64();
+              break;
+            }
+          case 64:
+            {
+              disableEarlyStopping_ = input.readBool();
+              break;
+            }
+          case 74:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              weightColumnName_ = s;
+              break;
+            }
+          case 82:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .ExportEvaluatedDataItemsConfig.Builder
+                  subBuilder = null;
+              if (exportEvaluatedDataItemsConfig_ != null) {
+                subBuilder = exportEvaluatedDataItemsConfig_.toBuilder();
+              }
+              exportEvaluatedDataItemsConfig_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .ExportEvaluatedDataItemsConfig.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(exportEvaluatedDataItemsConfig_);
+                exportEvaluatedDataItemsConfig_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        transformations_ = java.util.Collections.unmodifiableList(transformations_);
+      }
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Builder
+                .class);
+  }
+
+  public interface TransformationOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+     * </code>
+     *
+     * @return Whether the auto field is set.
+     */
+    boolean hasAuto();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+     * </code>
+     *
+     * @return The auto.
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .AutoTransformation
+        getAuto();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .AutoTransformationOrBuilder
+        getAutoOrBuilder();
+
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+     * </code>
+     *
+     * @return Whether the numeric field is set.
+     */
+    boolean hasNumeric();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+     * </code>
+     *
+     * @return The numeric.
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .NumericTransformation
+        getNumeric();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .NumericTransformationOrBuilder
+        getNumericOrBuilder();
+
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+     * </code>
+     *
+     * @return Whether the categorical field is set.
+     */
+    boolean hasCategorical();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+     * </code>
+     *
+     * @return The categorical.
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .CategoricalTransformation
+        getCategorical();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .CategoricalTransformationOrBuilder
+        getCategoricalOrBuilder();
+
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+     * </code>
+     *
+     * @return Whether the timestamp field is set.
+     */
+    boolean hasTimestamp();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+     * </code>
+     *
+     * @return The timestamp.
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .TimestampTransformation
+        getTimestamp();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .TimestampTransformationOrBuilder
+        getTimestampOrBuilder();
+
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+     * </code>
+     *
+     * @return Whether the text field is set.
+     */
+    boolean hasText();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+     * </code>
+     *
+     * @return The text.
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .TextTransformation
+        getText();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .TextTransformationOrBuilder
+        getTextOrBuilder();
+
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+     * </code>
+     *
+     * @return Whether the repeatedNumeric field is set.
+     */
+    boolean hasRepeatedNumeric();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+     * </code>
+     *
+     * @return The repeatedNumeric.
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .NumericArrayTransformation
+        getRepeatedNumeric();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .NumericArrayTransformationOrBuilder
+        getRepeatedNumericOrBuilder();
+
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+     * </code>
+     *
+     * @return Whether the repeatedCategorical field is set.
+     */
+    boolean hasRepeatedCategorical();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+     * </code>
+     *
+     * @return The repeatedCategorical.
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .CategoricalArrayTransformation
+        getRepeatedCategorical();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .CategoricalArrayTransformationOrBuilder
+        getRepeatedCategoricalOrBuilder();
+
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+     * </code>
+     *
+     * @return Whether the repeatedText field is set.
+     */
+    boolean hasRepeatedText();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+     * </code>
+     *
+     * @return The repeatedText.
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .TextArrayTransformation
+        getRepeatedText();
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+     * </code>
+     */
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+            .TextArrayTransformationOrBuilder
+        getRepeatedTextOrBuilder();
+
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.TransformationDetailCase
+        getTransformationDetailCase();
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation}
+   */
+  public static final class Transformation extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation)
+      TransformationOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use Transformation.newBuilder() to construct.
+    private Transformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private Transformation() {}
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new Transformation();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private Transformation(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.AutoTransformation.Builder
+                    subBuilder = null;
+                if (transformationDetailCase_ == 1) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                  .AutoMlTablesInputs.Transformation.AutoTransformation)
+                              transformationDetail_)
+                          .toBuilder();
+                }
+                transformationDetail_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation.AutoTransformation.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                              .AutoMlTablesInputs.Transformation.AutoTransformation)
+                          transformationDetail_);
+                  transformationDetail_ = subBuilder.buildPartial();
+                }
+                transformationDetailCase_ = 1;
+                break;
+              }
+            case 18:
+              {
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.NumericTransformation.Builder
+                    subBuilder = null;
+                if (transformationDetailCase_ == 2) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                  .AutoMlTablesInputs.Transformation.NumericTransformation)
+                              transformationDetail_)
+                          .toBuilder();
+                }
+                transformationDetail_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation.NumericTransformation.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                              .AutoMlTablesInputs.Transformation.NumericTransformation)
+                          transformationDetail_);
+                  transformationDetail_ = subBuilder.buildPartial();
+                }
+                transformationDetailCase_ = 2;
+                break;
+              }
+            case 26:
+              {
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.CategoricalTransformation.Builder
+                    subBuilder = null;
+                if (transformationDetailCase_ == 3) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                  .AutoMlTablesInputs.Transformation.CategoricalTransformation)
+                              transformationDetail_)
+                          .toBuilder();
+                }
+                transformationDetail_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation.CategoricalTransformation.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                              .AutoMlTablesInputs.Transformation.CategoricalTransformation)
+                          transformationDetail_);
+                  transformationDetail_ = subBuilder.buildPartial();
+                }
+                transformationDetailCase_ = 3;
+                break;
+              }
+            case 34:
+              {
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TimestampTransformation.Builder
+                    subBuilder = null;
+                if (transformationDetailCase_ == 4) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                  .AutoMlTablesInputs.Transformation.TimestampTransformation)
+                              transformationDetail_)
+                          .toBuilder();
+                }
+                transformationDetail_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation.TimestampTransformation.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                              .AutoMlTablesInputs.Transformation.TimestampTransformation)
+                          transformationDetail_);
+                  transformationDetail_ = subBuilder.buildPartial();
+                }
+                transformationDetailCase_ = 4;
+                break;
+              }
+            case 42:
+              {
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TextTransformation.Builder
+                    subBuilder = null;
+                if (transformationDetailCase_ == 5) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                  .AutoMlTablesInputs.Transformation.TextTransformation)
+                              transformationDetail_)
+                          .toBuilder();
+                }
+                transformationDetail_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation.TextTransformation.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                              .AutoMlTablesInputs.Transformation.TextTransformation)
+                          transformationDetail_);
+                  transformationDetail_ = subBuilder.buildPartial();
+                }
+                transformationDetailCase_ = 5;
+                break;
+              }
+            case 50:
+              {
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.NumericArrayTransformation.Builder
+                    subBuilder = null;
+                if (transformationDetailCase_ == 6) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                  .AutoMlTablesInputs.Transformation.NumericArrayTransformation)
+                              transformationDetail_)
+                          .toBuilder();
+                }
+                transformationDetail_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation.NumericArrayTransformation.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                              .AutoMlTablesInputs.Transformation.NumericArrayTransformation)
+                          transformationDetail_);
+                  transformationDetail_ = subBuilder.buildPartial();
+                }
+                transformationDetailCase_ = 6;
+                break;
+              }
+            case 58:
+              {
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.CategoricalArrayTransformation.Builder
+                    subBuilder = null;
+                if (transformationDetailCase_ == 7) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                  .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
+                              transformationDetail_)
+                          .toBuilder();
+                }
+                transformationDetail_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation
+                            .parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                              .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
+                          transformationDetail_);
+                  transformationDetail_ = subBuilder.buildPartial();
+                }
+                transformationDetailCase_ = 7;
+                break;
+              }
+            case 66:
+              {
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TextArrayTransformation.Builder
+                    subBuilder = null;
+                if (transformationDetailCase_ == 8) {
+                  subBuilder =
+                      ((com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                  .AutoMlTablesInputs.Transformation.TextArrayTransformation)
+                              transformationDetail_)
+                          .toBuilder();
+                }
+                transformationDetail_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                            .AutoMlTablesInputs.Transformation.TextArrayTransformation.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(
+                      (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                              .AutoMlTablesInputs.Transformation.TextArrayTransformation)
+                          transformationDetail_);
+                  transformationDetail_ = subBuilder.buildPartial();
+                }
+                transformationDetailCase_ = 8;
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.Builder.class);
+    }
+
+    public interface AutoTransformationOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      java.lang.String getColumnName();
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      com.google.protobuf.ByteString getColumnNameBytes();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Training pipeline will infer the proper transformation based on the
+     * statistic of dataset.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation}
+     */
+    public static final class AutoTransformation extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
+        AutoTransformationOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use AutoTransformation.newBuilder() to construct.
+      private AutoTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private AutoTransformation() {
+        columnName_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new AutoTransformation();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private AutoTransformation(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  columnName_ = s;
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.AutoTransformation.class,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.AutoTransformation.Builder.class);
+      }
+
+      public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+      private volatile java.lang.Object columnName_;
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      @java.lang.Override
+      public java.lang.String getColumnName() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          columnName_ = s;
+          return s;
+        }
+      }
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getColumnNameBytes() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          columnName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getColumnNameBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getColumnNameBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.AutoTransformation)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.AutoTransformation
+            other =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.AutoTransformation)
+                    obj;
+
+        if (!getColumnName().equals(other.getColumnName())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getColumnName().hashCode();
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Training pipeline will infer the proper transformation based on the
+       * statistic of dataset.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformationOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.AutoTransformation.class,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.AutoTransformation.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          columnName_ = "";
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.AutoTransformation
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.AutoTransformation
+            build() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.AutoTransformation
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation
+              result =
+                  new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTablesInputs.Transformation.AutoTransformation(this);
+          result.columnName_ = columnName_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
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+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.AutoTransformation)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.AutoTransformation
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation.getDefaultInstance()) return this;
+          if (!other.getColumnName().isEmpty()) {
+            columnName_ = other.columnName_;
+            onChanged();
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+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
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+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.AutoTransformation)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object columnName_ = "";
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The columnName.
+         */
+        public java.lang.String getColumnName() {
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+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            columnName_ = s;
+            return s;
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+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The bytes for columnName.
+         */
+        public com.google.protobuf.ByteString getColumnNameBytes() {
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+          if (ref instanceof String) {
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+            columnName_ = b;
+            return b;
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+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearColumnName() {
+
+          columnName_ = getDefaultInstance().getColumnName();
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The bytes for columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
+      private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTablesInputs.Transformation.AutoTransformation
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.AutoTransformation();
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<AutoTransformation> PARSER =
+          new com.google.protobuf.AbstractParser<AutoTransformation>() {
+            @java.lang.Override
+            public AutoTransformation parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new AutoTransformation(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<AutoTransformation> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<AutoTransformation> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface NumericTransformationOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      java.lang.String getColumnName();
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      com.google.protobuf.ByteString getColumnNameBytes();
+
+      /**
+       *
+       *
+       * <pre>
+       * If invalid values is allowed, the training pipeline will create a
+       * boolean feature that indicated whether the value is valid.
+       * Otherwise, the training pipeline will discard the input row from
+       * trainining data.
+       * </pre>
+       *
+       * <code>bool invalid_values_allowed = 2;</code>
+       *
+       * @return The invalidValuesAllowed.
+       */
+      boolean getInvalidValuesAllowed();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Training pipeline will perform following transformation functions.
+     * *  The value converted to float32.
+     * *  The z_score of the value.
+     * *  log(value+1) when the value is greater than or equal to 0. Otherwise,
+     *    this transformation is not applied and the value is considered a
+     *    missing value.
+     * *  z_score of log(value+1) when the value is greater than or equal to 0.
+     *    Otherwise, this transformation is not applied and the value is
+     *    considered a missing value.
+     * *  A boolean value that indicates whether the value is valid.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation}
+     */
+    public static final class NumericTransformation extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation)
+        NumericTransformationOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use NumericTransformation.newBuilder() to construct.
+      private NumericTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private NumericTransformation() {
+        columnName_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new NumericTransformation();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private NumericTransformation(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  columnName_ = s;
+                  break;
+                }
+              case 16:
+                {
+                  invalidValuesAllowed_ = input.readBool();
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericTransformation.class,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericTransformation.Builder.class);
+      }
+
+      public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+      private volatile java.lang.Object columnName_;
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      @java.lang.Override
+      public java.lang.String getColumnName() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          columnName_ = s;
+          return s;
+        }
+      }
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getColumnNameBytes() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          columnName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      public static final int INVALID_VALUES_ALLOWED_FIELD_NUMBER = 2;
+      private boolean invalidValuesAllowed_;
+      /**
+       *
+       *
+       * <pre>
+       * If invalid values is allowed, the training pipeline will create a
+       * boolean feature that indicated whether the value is valid.
+       * Otherwise, the training pipeline will discard the input row from
+       * trainining data.
+       * </pre>
+       *
+       * <code>bool invalid_values_allowed = 2;</code>
+       *
+       * @return The invalidValuesAllowed.
+       */
+      @java.lang.Override
+      public boolean getInvalidValuesAllowed() {
+        return invalidValuesAllowed_;
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getColumnNameBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+        }
+        if (invalidValuesAllowed_ != false) {
+          output.writeBool(2, invalidValuesAllowed_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getColumnNameBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+        }
+        if (invalidValuesAllowed_ != false) {
+          size += com.google.protobuf.CodedOutputStream.computeBoolSize(2, invalidValuesAllowed_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericTransformation)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericTransformation
+            other =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.NumericTransformation)
+                    obj;
+
+        if (!getColumnName().equals(other.getColumnName())) return false;
+        if (getInvalidValuesAllowed() != other.getInvalidValuesAllowed()) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getColumnName().hashCode();
+        hash = (37 * hash) + INVALID_VALUES_ALLOWED_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getInvalidValuesAllowed());
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Training pipeline will perform following transformation functions.
+       * *  The value converted to float32.
+       * *  The z_score of the value.
+       * *  log(value+1) when the value is greater than or equal to 0. Otherwise,
+       *    this transformation is not applied and the value is considered a
+       *    missing value.
+       * *  z_score of log(value+1) when the value is greater than or equal to 0.
+       *    Otherwise, this transformation is not applied and the value is
+       *    considered a missing value.
+       * *  A boolean value that indicates whether the value is valid.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation)
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformationOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericTransformation.class,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericTransformation.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          columnName_ = "";
+
+          invalidValuesAllowed_ = false;
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericTransformation
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericTransformation
+            build() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericTransformation
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation
+              result =
+                  new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTablesInputs.Transformation.NumericTransformation(this);
+          result.columnName_ = columnName_;
+          result.invalidValuesAllowed_ = invalidValuesAllowed_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.NumericTransformation)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericTransformation
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation.getDefaultInstance()) return this;
+          if (!other.getColumnName().isEmpty()) {
+            columnName_ = other.columnName_;
+            onChanged();
+          }
+          if (other.getInvalidValuesAllowed() != false) {
+            setInvalidValuesAllowed(other.getInvalidValuesAllowed());
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.NumericTransformation)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object columnName_ = "";
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The columnName.
+         */
+        public java.lang.String getColumnName() {
+          java.lang.Object ref = columnName_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            columnName_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The bytes for columnName.
+         */
+        public com.google.protobuf.ByteString getColumnNameBytes() {
+          java.lang.Object ref = columnName_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            columnName_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearColumnName() {
+
+          columnName_ = getDefaultInstance().getColumnName();
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The bytes for columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+
+        private boolean invalidValuesAllowed_;
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 2;</code>
+         *
+         * @return The invalidValuesAllowed.
+         */
+        @java.lang.Override
+        public boolean getInvalidValuesAllowed() {
+          return invalidValuesAllowed_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 2;</code>
+         *
+         * @param value The invalidValuesAllowed to set.
+         * @return This builder for chaining.
+         */
+        public Builder setInvalidValuesAllowed(boolean value) {
+
+          invalidValuesAllowed_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 2;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearInvalidValuesAllowed() {
+
+          invalidValuesAllowed_ = false;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation)
+      private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTablesInputs.Transformation.NumericTransformation
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericTransformation();
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<NumericTransformation> PARSER =
+          new com.google.protobuf.AbstractParser<NumericTransformation>() {
+            @java.lang.Override
+            public NumericTransformation parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new NumericTransformation(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<NumericTransformation> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<NumericTransformation> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface CategoricalTransformationOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      java.lang.String getColumnName();
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      com.google.protobuf.ByteString getColumnNameBytes();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Training pipeline will perform following transformation functions.
+     * *  The categorical string as is--no change to case, punctuation,
+     * spelling,
+     *    tense, and so on.
+     * *  Convert the category name to a dictionary lookup index and generate an
+     *    embedding for each index.
+     * *  Categories that appear less than 5 times in the training dataset are
+     *    treated as the "unknown" category. The "unknown" category gets its own
+     *    special lookup index and resulting embedding.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation}
+     */
+    public static final class CategoricalTransformation
+        extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation)
+        CategoricalTransformationOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use CategoricalTransformation.newBuilder() to construct.
+      private CategoricalTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private CategoricalTransformation() {
+        columnName_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new CategoricalTransformation();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private CategoricalTransformation(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  columnName_ = s;
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalTransformation.class,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalTransformation.Builder.class);
+      }
+
+      public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+      private volatile java.lang.Object columnName_;
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      @java.lang.Override
+      public java.lang.String getColumnName() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          columnName_ = s;
+          return s;
+        }
+      }
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getColumnNameBytes() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          columnName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getColumnNameBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getColumnNameBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalTransformation)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalTransformation
+            other =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.CategoricalTransformation)
+                    obj;
+
+        if (!getColumnName().equals(other.getColumnName())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getColumnName().hashCode();
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Training pipeline will perform following transformation functions.
+       * *  The categorical string as is--no change to case, punctuation,
+       * spelling,
+       *    tense, and so on.
+       * *  Convert the category name to a dictionary lookup index and generate an
+       *    embedding for each index.
+       * *  Categories that appear less than 5 times in the training dataset are
+       *    treated as the "unknown" category. The "unknown" category gets its own
+       *    special lookup index and resulting embedding.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation)
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformationOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalTransformation.class,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalTransformation.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          columnName_ = "";
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalTransformation
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalTransformation
+            build() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalTransformation
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation
+              result =
+                  new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTablesInputs.Transformation.CategoricalTransformation(this);
+          result.columnName_ = columnName_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.CategoricalTransformation)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalTransformation
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation.getDefaultInstance()) return this;
+          if (!other.getColumnName().isEmpty()) {
+            columnName_ = other.columnName_;
+            onChanged();
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.CategoricalTransformation)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object columnName_ = "";
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The columnName.
+         */
+        public java.lang.String getColumnName() {
+          java.lang.Object ref = columnName_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            columnName_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The bytes for columnName.
+         */
+        public com.google.protobuf.ByteString getColumnNameBytes() {
+          java.lang.Object ref = columnName_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            columnName_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearColumnName() {
+
+          columnName_ = getDefaultInstance().getColumnName();
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The bytes for columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation)
+      private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTablesInputs.Transformation.CategoricalTransformation
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalTransformation();
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<CategoricalTransformation> PARSER =
+          new com.google.protobuf.AbstractParser<CategoricalTransformation>() {
+            @java.lang.Override
+            public CategoricalTransformation parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new CategoricalTransformation(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<CategoricalTransformation> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<CategoricalTransformation> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface TimestampTransformationOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      java.lang.String getColumnName();
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      com.google.protobuf.ByteString getColumnNameBytes();
+
+      /**
+       *
+       *
+       * <pre>
+       * The format in which that time field is expressed. The time_format must
+       * either be one of:
+       * * `unix-seconds`
+       * * `unix-milliseconds`
+       * * `unix-microseconds`
+       * * `unix-nanoseconds`
+       * (for respectively number of seconds, milliseconds, microseconds and
+       * nanoseconds since start of the Unix epoch);
+       * or be written in `strftime` syntax. If time_format is not set, then the
+       * default format is RFC 3339 `date-time` format, where
+       * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+       * </pre>
+       *
+       * <code>string time_format = 2;</code>
+       *
+       * @return The timeFormat.
+       */
+      java.lang.String getTimeFormat();
+      /**
+       *
+       *
+       * <pre>
+       * The format in which that time field is expressed. The time_format must
+       * either be one of:
+       * * `unix-seconds`
+       * * `unix-milliseconds`
+       * * `unix-microseconds`
+       * * `unix-nanoseconds`
+       * (for respectively number of seconds, milliseconds, microseconds and
+       * nanoseconds since start of the Unix epoch);
+       * or be written in `strftime` syntax. If time_format is not set, then the
+       * default format is RFC 3339 `date-time` format, where
+       * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+       * </pre>
+       *
+       * <code>string time_format = 2;</code>
+       *
+       * @return The bytes for timeFormat.
+       */
+      com.google.protobuf.ByteString getTimeFormatBytes();
+
+      /**
+       *
+       *
+       * <pre>
+       * If invalid values is allowed, the training pipeline will create a
+       * boolean feature that indicated whether the value is valid.
+       * Otherwise, the training pipeline will discard the input row from
+       * trainining data.
+       * </pre>
+       *
+       * <code>bool invalid_values_allowed = 3;</code>
+       *
+       * @return The invalidValuesAllowed.
+       */
+      boolean getInvalidValuesAllowed();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Training pipeline will perform following transformation functions.
+     * *  Apply the transformation functions for Numerical columns.
+     * *  Determine the year, month, day,and weekday. Treat each value from the
+     * *  timestamp as a Categorical column.
+     * *  Invalid numerical values (for example, values that fall outside of a
+     *    typical timestamp range, or are extreme values) receive no special
+     *    treatment and are not removed.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation}
+     */
+    public static final class TimestampTransformation extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
+        TimestampTransformationOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use TimestampTransformation.newBuilder() to construct.
+      private TimestampTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private TimestampTransformation() {
+        columnName_ = "";
+        timeFormat_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new TimestampTransformation();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private TimestampTransformation(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  columnName_ = s;
+                  break;
+                }
+              case 18:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  timeFormat_ = s;
+                  break;
+                }
+              case 24:
+                {
+                  invalidValuesAllowed_ = input.readBool();
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TimestampTransformation.class,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TimestampTransformation.Builder.class);
+      }
+
+      public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+      private volatile java.lang.Object columnName_;
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      @java.lang.Override
+      public java.lang.String getColumnName() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          columnName_ = s;
+          return s;
+        }
+      }
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getColumnNameBytes() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          columnName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      public static final int TIME_FORMAT_FIELD_NUMBER = 2;
+      private volatile java.lang.Object timeFormat_;
+      /**
+       *
+       *
+       * <pre>
+       * The format in which that time field is expressed. The time_format must
+       * either be one of:
+       * * `unix-seconds`
+       * * `unix-milliseconds`
+       * * `unix-microseconds`
+       * * `unix-nanoseconds`
+       * (for respectively number of seconds, milliseconds, microseconds and
+       * nanoseconds since start of the Unix epoch);
+       * or be written in `strftime` syntax. If time_format is not set, then the
+       * default format is RFC 3339 `date-time` format, where
+       * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+       * </pre>
+       *
+       * <code>string time_format = 2;</code>
+       *
+       * @return The timeFormat.
+       */
+      @java.lang.Override
+      public java.lang.String getTimeFormat() {
+        java.lang.Object ref = timeFormat_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          timeFormat_ = s;
+          return s;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The format in which that time field is expressed. The time_format must
+       * either be one of:
+       * * `unix-seconds`
+       * * `unix-milliseconds`
+       * * `unix-microseconds`
+       * * `unix-nanoseconds`
+       * (for respectively number of seconds, milliseconds, microseconds and
+       * nanoseconds since start of the Unix epoch);
+       * or be written in `strftime` syntax. If time_format is not set, then the
+       * default format is RFC 3339 `date-time` format, where
+       * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+       * </pre>
+       *
+       * <code>string time_format = 2;</code>
+       *
+       * @return The bytes for timeFormat.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getTimeFormatBytes() {
+        java.lang.Object ref = timeFormat_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          timeFormat_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      public static final int INVALID_VALUES_ALLOWED_FIELD_NUMBER = 3;
+      private boolean invalidValuesAllowed_;
+      /**
+       *
+       *
+       * <pre>
+       * If invalid values is allowed, the training pipeline will create a
+       * boolean feature that indicated whether the value is valid.
+       * Otherwise, the training pipeline will discard the input row from
+       * trainining data.
+       * </pre>
+       *
+       * <code>bool invalid_values_allowed = 3;</code>
+       *
+       * @return The invalidValuesAllowed.
+       */
+      @java.lang.Override
+      public boolean getInvalidValuesAllowed() {
+        return invalidValuesAllowed_;
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getColumnNameBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+        }
+        if (!getTimeFormatBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 2, timeFormat_);
+        }
+        if (invalidValuesAllowed_ != false) {
+          output.writeBool(3, invalidValuesAllowed_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getColumnNameBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+        }
+        if (!getTimeFormatBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, timeFormat_);
+        }
+        if (invalidValuesAllowed_ != false) {
+          size += com.google.protobuf.CodedOutputStream.computeBoolSize(3, invalidValuesAllowed_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TimestampTransformation)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TimestampTransformation
+            other =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TimestampTransformation)
+                    obj;
+
+        if (!getColumnName().equals(other.getColumnName())) return false;
+        if (!getTimeFormat().equals(other.getTimeFormat())) return false;
+        if (getInvalidValuesAllowed() != other.getInvalidValuesAllowed()) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getColumnName().hashCode();
+        hash = (37 * hash) + TIME_FORMAT_FIELD_NUMBER;
+        hash = (53 * hash) + getTimeFormat().hashCode();
+        hash = (37 * hash) + INVALID_VALUES_ALLOWED_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getInvalidValuesAllowed());
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Training pipeline will perform following transformation functions.
+       * *  Apply the transformation functions for Numerical columns.
+       * *  Determine the year, month, day,and weekday. Treat each value from the
+       * *  timestamp as a Categorical column.
+       * *  Invalid numerical values (for example, values that fall outside of a
+       *    typical timestamp range, or are extreme values) receive no special
+       *    treatment and are not removed.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformationOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TimestampTransformation.class,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TimestampTransformation.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          columnName_ = "";
+
+          timeFormat_ = "";
+
+          invalidValuesAllowed_ = false;
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TimestampTransformation
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TimestampTransformation
+            build() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TimestampTransformation
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation
+              result =
+                  new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTablesInputs.Transformation.TimestampTransformation(this);
+          result.columnName_ = columnName_;
+          result.timeFormat_ = timeFormat_;
+          result.invalidValuesAllowed_ = invalidValuesAllowed_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TimestampTransformation)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TimestampTransformation
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation.getDefaultInstance()) return this;
+          if (!other.getColumnName().isEmpty()) {
+            columnName_ = other.columnName_;
+            onChanged();
+          }
+          if (!other.getTimeFormat().isEmpty()) {
+            timeFormat_ = other.timeFormat_;
+            onChanged();
+          }
+          if (other.getInvalidValuesAllowed() != false) {
+            setInvalidValuesAllowed(other.getInvalidValuesAllowed());
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TimestampTransformation)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object columnName_ = "";
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The columnName.
+         */
+        public java.lang.String getColumnName() {
+          java.lang.Object ref = columnName_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            columnName_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The bytes for columnName.
+         */
+        public com.google.protobuf.ByteString getColumnNameBytes() {
+          java.lang.Object ref = columnName_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            columnName_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearColumnName() {
+
+          columnName_ = getDefaultInstance().getColumnName();
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The bytes for columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+
+        private java.lang.Object timeFormat_ = "";
+        /**
+         *
+         *
+         * <pre>
+         * The format in which that time field is expressed. The time_format must
+         * either be one of:
+         * * `unix-seconds`
+         * * `unix-milliseconds`
+         * * `unix-microseconds`
+         * * `unix-nanoseconds`
+         * (for respectively number of seconds, milliseconds, microseconds and
+         * nanoseconds since start of the Unix epoch);
+         * or be written in `strftime` syntax. If time_format is not set, then the
+         * default format is RFC 3339 `date-time` format, where
+         * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+         * </pre>
+         *
+         * <code>string time_format = 2;</code>
+         *
+         * @return The timeFormat.
+         */
+        public java.lang.String getTimeFormat() {
+          java.lang.Object ref = timeFormat_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            timeFormat_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The format in which that time field is expressed. The time_format must
+         * either be one of:
+         * * `unix-seconds`
+         * * `unix-milliseconds`
+         * * `unix-microseconds`
+         * * `unix-nanoseconds`
+         * (for respectively number of seconds, milliseconds, microseconds and
+         * nanoseconds since start of the Unix epoch);
+         * or be written in `strftime` syntax. If time_format is not set, then the
+         * default format is RFC 3339 `date-time` format, where
+         * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+         * </pre>
+         *
+         * <code>string time_format = 2;</code>
+         *
+         * @return The bytes for timeFormat.
+         */
+        public com.google.protobuf.ByteString getTimeFormatBytes() {
+          java.lang.Object ref = timeFormat_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            timeFormat_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The format in which that time field is expressed. The time_format must
+         * either be one of:
+         * * `unix-seconds`
+         * * `unix-milliseconds`
+         * * `unix-microseconds`
+         * * `unix-nanoseconds`
+         * (for respectively number of seconds, milliseconds, microseconds and
+         * nanoseconds since start of the Unix epoch);
+         * or be written in `strftime` syntax. If time_format is not set, then the
+         * default format is RFC 3339 `date-time` format, where
+         * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+         * </pre>
+         *
+         * <code>string time_format = 2;</code>
+         *
+         * @param value The timeFormat to set.
+         * @return This builder for chaining.
+         */
+        public Builder setTimeFormat(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          timeFormat_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The format in which that time field is expressed. The time_format must
+         * either be one of:
+         * * `unix-seconds`
+         * * `unix-milliseconds`
+         * * `unix-microseconds`
+         * * `unix-nanoseconds`
+         * (for respectively number of seconds, milliseconds, microseconds and
+         * nanoseconds since start of the Unix epoch);
+         * or be written in `strftime` syntax. If time_format is not set, then the
+         * default format is RFC 3339 `date-time` format, where
+         * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+         * </pre>
+         *
+         * <code>string time_format = 2;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearTimeFormat() {
+
+          timeFormat_ = getDefaultInstance().getTimeFormat();
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * The format in which that time field is expressed. The time_format must
+         * either be one of:
+         * * `unix-seconds`
+         * * `unix-milliseconds`
+         * * `unix-microseconds`
+         * * `unix-nanoseconds`
+         * (for respectively number of seconds, milliseconds, microseconds and
+         * nanoseconds since start of the Unix epoch);
+         * or be written in `strftime` syntax. If time_format is not set, then the
+         * default format is RFC 3339 `date-time` format, where
+         * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+         * </pre>
+         *
+         * <code>string time_format = 2;</code>
+         *
+         * @param value The bytes for timeFormat to set.
+         * @return This builder for chaining.
+         */
+        public Builder setTimeFormatBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          timeFormat_ = value;
+          onChanged();
+          return this;
+        }
+
+        private boolean invalidValuesAllowed_;
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 3;</code>
+         *
+         * @return The invalidValuesAllowed.
+         */
+        @java.lang.Override
+        public boolean getInvalidValuesAllowed() {
+          return invalidValuesAllowed_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 3;</code>
+         *
+         * @param value The invalidValuesAllowed to set.
+         * @return This builder for chaining.
+         */
+        public Builder setInvalidValuesAllowed(boolean value) {
+
+          invalidValuesAllowed_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 3;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearInvalidValuesAllowed() {
+
+          invalidValuesAllowed_ = false;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
+      private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTablesInputs.Transformation.TimestampTransformation
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TimestampTransformation();
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<TimestampTransformation> PARSER =
+          new com.google.protobuf.AbstractParser<TimestampTransformation>() {
+            @java.lang.Override
+            public TimestampTransformation parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new TimestampTransformation(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<TimestampTransformation> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<TimestampTransformation> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface TextTransformationOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      java.lang.String getColumnName();
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      com.google.protobuf.ByteString getColumnNameBytes();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Training pipeline will perform following transformation functions.
+     * *  The text as is--no change to case, punctuation, spelling, tense, and
+     * so
+     *    on.
+     * *  Tokenize text to words. Convert each words to a dictionary lookup
+     * index
+     *    and generate an embedding for each index. Combine the embedding of all
+     *    elements into a single embedding using the mean.
+     * *  Tokenization is based on unicode script boundaries.
+     * *  Missing values get their own lookup index and resulting embedding.
+     * *  Stop-words receive no special treatment and are not removed.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation}
+     */
+    public static final class TextTransformation extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation)
+        TextTransformationOrBuilder {
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+      private TextTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
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+      @java.lang.Override
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+          makeExtensionsImmutable();
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+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextTransformation_descriptor;
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+        memoizedIsInitialized = 1;
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+      @java.lang.Override
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+      @java.lang.Override
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+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
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+        if (!(obj
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+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextTransformation)) {
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+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
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+            other =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TextTransformation)
+                    obj;
+
+        if (!getColumnName().equals(other.getColumnName())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
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+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getColumnName().hashCode();
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
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+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
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+      /**
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+       *
+       * <pre>
+       * Training pipeline will perform following transformation functions.
+       * *  The text as is--no change to case, punctuation, spelling, tense, and
+       * so
+       *    on.
+       * *  Tokenize text to words. Convert each words to a dictionary lookup
+       * index
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+       * *  Tokenization is based on unicode script boundaries.
+       * *  Missing values get their own lookup index and resulting embedding.
+       * *  Stop-words receive no special treatment and are not removed.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation)
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformationOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
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+              .ensureFieldAccessorsInitialized(
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+                      .Transformation.TextTransformation.class,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextTransformation.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
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+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          columnName_ = "";
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextTransformation
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextTransformation
+            build() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextTransformation
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation
+              result =
+                  new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTablesInputs.Transformation.TextTransformation(this);
+          result.columnName_ = columnName_;
+          onBuilt();
+          return result;
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+
+        @java.lang.Override
+        public Builder clone() {
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+
+        @java.lang.Override
+        public Builder setField(
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+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
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+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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+        @java.lang.Override
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+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
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+            return mergeFrom(
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+                        .Transformation.TextTransformation)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextTransformation
+                other) {
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+                  .Transformation.TextTransformation.getDefaultInstance()) return this;
+          if (!other.getColumnName().isEmpty()) {
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+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TextTransformation)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
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+          }
+          return this;
+        }
+
+        private java.lang.Object columnName_ = "";
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The columnName.
+         */
+        public java.lang.String getColumnName() {
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+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            columnName_ = s;
+            return s;
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+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The bytes for columnName.
+         */
+        public com.google.protobuf.ByteString getColumnNameBytes() {
+          java.lang.Object ref = columnName_;
+          if (ref instanceof String) {
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+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            columnName_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearColumnName() {
+
+          columnName_ = getDefaultInstance().getColumnName();
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The bytes for columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation)
+      private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTablesInputs.Transformation.TextTransformation
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextTransformation();
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<TextTransformation> PARSER =
+          new com.google.protobuf.AbstractParser<TextTransformation>() {
+            @java.lang.Override
+            public TextTransformation parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new TextTransformation(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<TextTransformation> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<TextTransformation> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface NumericArrayTransformationOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      java.lang.String getColumnName();
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      com.google.protobuf.ByteString getColumnNameBytes();
+
+      /**
+       *
+       *
+       * <pre>
+       * If invalid values is allowed, the training pipeline will create a
+       * boolean feature that indicated whether the value is valid.
+       * Otherwise, the training pipeline will discard the input row from
+       * trainining data.
+       * </pre>
+       *
+       * <code>bool invalid_values_allowed = 2;</code>
+       *
+       * @return The invalidValuesAllowed.
+       */
+      boolean getInvalidValuesAllowed();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Treats the column as numerical array and performs following
+     * transformation functions.
+     * *  All transformations for Numerical types applied to the average of the
+     *    all elements.
+     * *  The average of empty arrays is treated as zero.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation}
+     */
+    public static final class NumericArrayTransformation
+        extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation)
+        NumericArrayTransformationOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use NumericArrayTransformation.newBuilder() to construct.
+      private NumericArrayTransformation(
+          com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private NumericArrayTransformation() {
+        columnName_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new NumericArrayTransformation();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private NumericArrayTransformation(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  columnName_ = s;
+                  break;
+                }
+              case 16:
+                {
+                  invalidValuesAllowed_ = input.readBool();
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericArrayTransformation.class,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericArrayTransformation.Builder.class);
+      }
+
+      public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+      private volatile java.lang.Object columnName_;
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      @java.lang.Override
+      public java.lang.String getColumnName() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          columnName_ = s;
+          return s;
+        }
+      }
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getColumnNameBytes() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          columnName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      public static final int INVALID_VALUES_ALLOWED_FIELD_NUMBER = 2;
+      private boolean invalidValuesAllowed_;
+      /**
+       *
+       *
+       * <pre>
+       * If invalid values is allowed, the training pipeline will create a
+       * boolean feature that indicated whether the value is valid.
+       * Otherwise, the training pipeline will discard the input row from
+       * trainining data.
+       * </pre>
+       *
+       * <code>bool invalid_values_allowed = 2;</code>
+       *
+       * @return The invalidValuesAllowed.
+       */
+      @java.lang.Override
+      public boolean getInvalidValuesAllowed() {
+        return invalidValuesAllowed_;
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getColumnNameBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+        }
+        if (invalidValuesAllowed_ != false) {
+          output.writeBool(2, invalidValuesAllowed_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getColumnNameBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+        }
+        if (invalidValuesAllowed_ != false) {
+          size += com.google.protobuf.CodedOutputStream.computeBoolSize(2, invalidValuesAllowed_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericArrayTransformation)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericArrayTransformation
+            other =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.NumericArrayTransformation)
+                    obj;
+
+        if (!getColumnName().equals(other.getColumnName())) return false;
+        if (getInvalidValuesAllowed() != other.getInvalidValuesAllowed()) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getColumnName().hashCode();
+        hash = (37 * hash) + INVALID_VALUES_ALLOWED_FIELD_NUMBER;
+        hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getInvalidValuesAllowed());
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Treats the column as numerical array and performs following
+       * transformation functions.
+       * *  All transformations for Numerical types applied to the average of the
+       *    all elements.
+       * *  The average of empty arrays is treated as zero.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation)
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformationOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericArrayTransformation.class,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericArrayTransformation.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          columnName_ = "";
+
+          invalidValuesAllowed_ = false;
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericArrayTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericArrayTransformation
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericArrayTransformation
+            build() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericArrayTransformation
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation
+              result =
+                  new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTablesInputs.Transformation.NumericArrayTransformation(this);
+          result.columnName_ = columnName_;
+          result.invalidValuesAllowed_ = invalidValuesAllowed_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.NumericArrayTransformation)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericArrayTransformation
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation.getDefaultInstance()) return this;
+          if (!other.getColumnName().isEmpty()) {
+            columnName_ = other.columnName_;
+            onChanged();
+          }
+          if (other.getInvalidValuesAllowed() != false) {
+            setInvalidValuesAllowed(other.getInvalidValuesAllowed());
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.NumericArrayTransformation)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object columnName_ = "";
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The columnName.
+         */
+        public java.lang.String getColumnName() {
+          java.lang.Object ref = columnName_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            columnName_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The bytes for columnName.
+         */
+        public com.google.protobuf.ByteString getColumnNameBytes() {
+          java.lang.Object ref = columnName_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            columnName_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearColumnName() {
+
+          columnName_ = getDefaultInstance().getColumnName();
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The bytes for columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+
+        private boolean invalidValuesAllowed_;
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 2;</code>
+         *
+         * @return The invalidValuesAllowed.
+         */
+        @java.lang.Override
+        public boolean getInvalidValuesAllowed() {
+          return invalidValuesAllowed_;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 2;</code>
+         *
+         * @param value The invalidValuesAllowed to set.
+         * @return This builder for chaining.
+         */
+        public Builder setInvalidValuesAllowed(boolean value) {
+
+          invalidValuesAllowed_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         *
+         *
+         * <pre>
+         * If invalid values is allowed, the training pipeline will create a
+         * boolean feature that indicated whether the value is valid.
+         * Otherwise, the training pipeline will discard the input row from
+         * trainining data.
+         * </pre>
+         *
+         * <code>bool invalid_values_allowed = 2;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearInvalidValuesAllowed() {
+
+          invalidValuesAllowed_ = false;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation)
+      private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTablesInputs.Transformation.NumericArrayTransformation
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericArrayTransformation();
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<NumericArrayTransformation> PARSER =
+          new com.google.protobuf.AbstractParser<NumericArrayTransformation>() {
+            @java.lang.Override
+            public NumericArrayTransformation parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new NumericArrayTransformation(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<NumericArrayTransformation> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<NumericArrayTransformation> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface CategoricalArrayTransformationOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      java.lang.String getColumnName();
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      com.google.protobuf.ByteString getColumnNameBytes();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Treats the column as categorical array and performs following
+     * transformation functions.
+     * *  For each element in the array, convert the category name to a
+     * dictionary
+     *    lookup index and generate an embedding for each index.
+     *    Combine the embedding of all elements into a single embedding using
+     *    the mean.
+     * *  Empty arrays treated as an embedding of zeroes.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation}
+     */
+    public static final class CategoricalArrayTransformation
+        extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
+        CategoricalArrayTransformationOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use CategoricalArrayTransformation.newBuilder() to construct.
+      private CategoricalArrayTransformation(
+          com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private CategoricalArrayTransformation() {
+        columnName_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new CategoricalArrayTransformation();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private CategoricalArrayTransformation(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  columnName_ = s;
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalArrayTransformation.class,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalArrayTransformation.Builder.class);
+      }
+
+      public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+      private volatile java.lang.Object columnName_;
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      @java.lang.Override
+      public java.lang.String getColumnName() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          columnName_ = s;
+          return s;
+        }
+      }
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getColumnNameBytes() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          columnName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getColumnNameBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getColumnNameBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalArrayTransformation)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalArrayTransformation
+            other =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.CategoricalArrayTransformation)
+                    obj;
+
+        if (!getColumnName().equals(other.getColumnName())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getColumnName().hashCode();
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Treats the column as categorical array and performs following
+       * transformation functions.
+       * *  For each element in the array, convert the category name to a
+       * dictionary
+       *    lookup index and generate an embedding for each index.
+       *    Combine the embedding of all elements into a single embedding using
+       *    the mean.
+       * *  Empty arrays treated as an embedding of zeroes.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformationOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalArrayTransformation.class,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalArrayTransformation.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          columnName_ = "";
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_CategoricalArrayTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalArrayTransformation
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalArrayTransformation
+            build() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalArrayTransformation
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation
+              result =
+                  new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation(this);
+          result.columnName_ = columnName_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.CategoricalArrayTransformation)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalArrayTransformation
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation.getDefaultInstance()) return this;
+          if (!other.getColumnName().isEmpty()) {
+            columnName_ = other.columnName_;
+            onChanged();
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.CategoricalArrayTransformation)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object columnName_ = "";
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The columnName.
+         */
+        public java.lang.String getColumnName() {
+          java.lang.Object ref = columnName_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            columnName_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The bytes for columnName.
+         */
+        public com.google.protobuf.ByteString getColumnNameBytes() {
+          java.lang.Object ref = columnName_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            columnName_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearColumnName() {
+
+          columnName_ = getDefaultInstance().getColumnName();
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The bytes for columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
+      private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalArrayTransformation();
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<CategoricalArrayTransformation> PARSER =
+          new com.google.protobuf.AbstractParser<CategoricalArrayTransformation>() {
+            @java.lang.Override
+            public CategoricalArrayTransformation parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new CategoricalArrayTransformation(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<CategoricalArrayTransformation> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<CategoricalArrayTransformation> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    public interface TextArrayTransformationOrBuilder
+        extends
+        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation)
+        com.google.protobuf.MessageOrBuilder {
+
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      java.lang.String getColumnName();
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      com.google.protobuf.ByteString getColumnNameBytes();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Treats the column as text array and performs following transformation
+     * functions.
+     * *  Concatenate all text values in the array into a single text value
+     * using
+     *    a space (" ") as a delimiter, and then treat the result as a single
+     *    text value. Apply the transformations for Text columns.
+     * *  Empty arrays treated as an empty text.
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation}
+     */
+    public static final class TextArrayTransformation extends com.google.protobuf.GeneratedMessageV3
+        implements
+        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation)
+        TextArrayTransformationOrBuilder {
+      private static final long serialVersionUID = 0L;
+      // Use TextArrayTransformation.newBuilder() to construct.
+      private TextArrayTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+        super(builder);
+      }
+
+      private TextArrayTransformation() {
+        columnName_ = "";
+      }
+
+      @java.lang.Override
+      @SuppressWarnings({"unused"})
+      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+        return new TextArrayTransformation();
+      }
+
+      @java.lang.Override
+      public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+        return this.unknownFields;
+      }
+
+      private TextArrayTransformation(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+        this();
+        if (extensionRegistry == null) {
+          throw new java.lang.NullPointerException();
+        }
+        com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+            com.google.protobuf.UnknownFieldSet.newBuilder();
+        try {
+          boolean done = false;
+          while (!done) {
+            int tag = input.readTag();
+            switch (tag) {
+              case 0:
+                done = true;
+                break;
+              case 10:
+                {
+                  java.lang.String s = input.readStringRequireUtf8();
+
+                  columnName_ = s;
+                  break;
+                }
+              default:
+                {
+                  if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                    done = true;
+                  }
+                  break;
+                }
+            }
+          }
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          throw e.setUnfinishedMessage(this);
+        } catch (java.io.IOException e) {
+          throw new com.google.protobuf.InvalidProtocolBufferException(e)
+              .setUnfinishedMessage(this);
+        } finally {
+          this.unknownFields = unknownFields.build();
+          makeExtensionsImmutable();
+        }
+      }
+
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextArrayTransformation.class,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextArrayTransformation.Builder.class);
+      }
+
+      public static final int COLUMN_NAME_FIELD_NUMBER = 1;
+      private volatile java.lang.Object columnName_;
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The columnName.
+       */
+      @java.lang.Override
+      public java.lang.String getColumnName() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          return (java.lang.String) ref;
+        } else {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          columnName_ = s;
+          return s;
+        }
+      }
+      /**
+       * <code>string column_name = 1;</code>
+       *
+       * @return The bytes for columnName.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getColumnNameBytes() {
+        java.lang.Object ref = columnName_;
+        if (ref instanceof java.lang.String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          columnName_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+
+      private byte memoizedIsInitialized = -1;
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        byte isInitialized = memoizedIsInitialized;
+        if (isInitialized == 1) return true;
+        if (isInitialized == 0) return false;
+
+        memoizedIsInitialized = 1;
+        return true;
+      }
+
+      @java.lang.Override
+      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+        if (!getColumnNameBytes().isEmpty()) {
+          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
+        }
+        unknownFields.writeTo(output);
+      }
+
+      @java.lang.Override
+      public int getSerializedSize() {
+        int size = memoizedSize;
+        if (size != -1) return size;
+
+        size = 0;
+        if (!getColumnNameBytes().isEmpty()) {
+          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
+        }
+        size += unknownFields.getSerializedSize();
+        memoizedSize = size;
+        return size;
+      }
+
+      @java.lang.Override
+      public boolean equals(final java.lang.Object obj) {
+        if (obj == this) {
+          return true;
+        }
+        if (!(obj
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextArrayTransformation)) {
+          return super.equals(obj);
+        }
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextArrayTransformation
+            other =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TextArrayTransformation)
+                    obj;
+
+        if (!getColumnName().equals(other.getColumnName())) return false;
+        if (!unknownFields.equals(other.unknownFields)) return false;
+        return true;
+      }
+
+      @java.lang.Override
+      public int hashCode() {
+        if (memoizedHashCode != 0) {
+          return memoizedHashCode;
+        }
+        int hash = 41;
+        hash = (19 * hash) + getDescriptor().hashCode();
+        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
+        hash = (53 * hash) + getColumnName().hashCode();
+        hash = (29 * hash) + unknownFields.hashCode();
+        memoizedHashCode = hash;
+        return hash;
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(java.nio.ByteBuffer data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(
+              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(com.google.protobuf.ByteString data)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(
+              com.google.protobuf.ByteString data,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+        return PARSER.parseFrom(data, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseDelimitedFrom(
+              java.io.InputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          parseFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws java.io.IOException {
+        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+            PARSER, input, extensionRegistry);
+      }
+
+      @java.lang.Override
+      public Builder newBuilderForType() {
+        return newBuilder();
+      }
+
+      public static Builder newBuilder() {
+        return DEFAULT_INSTANCE.toBuilder();
+      }
+
+      public static Builder newBuilder(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation
+              prototype) {
+        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+      }
+
+      @java.lang.Override
+      public Builder toBuilder() {
+        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+      }
+
+      @java.lang.Override
+      protected Builder newBuilderForType(
+          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        Builder builder = new Builder(parent);
+        return builder;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Treats the column as text array and performs following transformation
+       * functions.
+       * *  Concatenate all text values in the array into a single text value
+       * using
+       *    a space (" ") as a delimiter, and then treat the result as a single
+       *    text value. Apply the transformations for Text columns.
+       * *  Empty arrays treated as an empty text.
+       * </pre>
+       *
+       * Protobuf type {@code
+       * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation}
+       */
+      public static final class Builder
+          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+          implements
+          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation)
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformationOrBuilder {
+        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+            internalGetFieldAccessorTable() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_fieldAccessorTable
+              .ensureFieldAccessorsInitialized(
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextArrayTransformation.class,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextArrayTransformation.Builder.class);
+        }
+
+        // Construct using
+        // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation.newBuilder()
+        private Builder() {
+          maybeForceBuilderInitialization();
+        }
+
+        private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+          super(parent);
+          maybeForceBuilderInitialization();
+        }
+
+        private void maybeForceBuilderInitialization() {
+          if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+        }
+
+        @java.lang.Override
+        public Builder clear() {
+          super.clear();
+          columnName_ = "";
+
+          return this;
+        }
+
+        @java.lang.Override
+        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+              .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TextArrayTransformation_descriptor;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextArrayTransformation
+            getDefaultInstanceForType() {
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation.getDefaultInstance();
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextArrayTransformation
+            build() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation
+              result = buildPartial();
+          if (!result.isInitialized()) {
+            throw newUninitializedMessageException(result);
+          }
+          return result;
+        }
+
+        @java.lang.Override
+        public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextArrayTransformation
+            buildPartial() {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation
+              result =
+                  new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTablesInputs.Transformation.TextArrayTransformation(this);
+          result.columnName_ = columnName_;
+          onBuilt();
+          return result;
+        }
+
+        @java.lang.Override
+        public Builder clone() {
+          return super.clone();
+        }
+
+        @java.lang.Override
+        public Builder setField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.setField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+          return super.clearField(field);
+        }
+
+        @java.lang.Override
+        public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+          return super.clearOneof(oneof);
+        }
+
+        @java.lang.Override
+        public Builder setRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field,
+            int index,
+            java.lang.Object value) {
+          return super.setRepeatedField(field, index, value);
+        }
+
+        @java.lang.Override
+        public Builder addRepeatedField(
+            com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+          return super.addRepeatedField(field, value);
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(com.google.protobuf.Message other) {
+          if (other
+              instanceof
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation) {
+            return mergeFrom(
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TextArrayTransformation)
+                    other);
+          } else {
+            super.mergeFrom(other);
+            return this;
+          }
+        }
+
+        public Builder mergeFrom(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextArrayTransformation
+                other) {
+          if (other
+              == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation.getDefaultInstance()) return this;
+          if (!other.getColumnName().isEmpty()) {
+            columnName_ = other.columnName_;
+            onChanged();
+          }
+          this.mergeUnknownFields(other.unknownFields);
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final boolean isInitialized() {
+          return true;
+        }
+
+        @java.lang.Override
+        public Builder mergeFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation
+              parsedMessage = null;
+          try {
+            parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+            parsedMessage =
+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.TextArrayTransformation)
+                    e.getUnfinishedMessage();
+            throw e.unwrapIOException();
+          } finally {
+            if (parsedMessage != null) {
+              mergeFrom(parsedMessage);
+            }
+          }
+          return this;
+        }
+
+        private java.lang.Object columnName_ = "";
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The columnName.
+         */
+        public java.lang.String getColumnName() {
+          java.lang.Object ref = columnName_;
+          if (!(ref instanceof java.lang.String)) {
+            com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+            java.lang.String s = bs.toStringUtf8();
+            columnName_ = s;
+            return s;
+          } else {
+            return (java.lang.String) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return The bytes for columnName.
+         */
+        public com.google.protobuf.ByteString getColumnNameBytes() {
+          java.lang.Object ref = columnName_;
+          if (ref instanceof String) {
+            com.google.protobuf.ByteString b =
+                com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+            columnName_ = b;
+            return b;
+          } else {
+            return (com.google.protobuf.ByteString) ref;
+          }
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnName(java.lang.String value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @return This builder for chaining.
+         */
+        public Builder clearColumnName() {
+
+          columnName_ = getDefaultInstance().getColumnName();
+          onChanged();
+          return this;
+        }
+        /**
+         * <code>string column_name = 1;</code>
+         *
+         * @param value The bytes for columnName to set.
+         * @return This builder for chaining.
+         */
+        public Builder setColumnNameBytes(com.google.protobuf.ByteString value) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          checkByteStringIsUtf8(value);
+
+          columnName_ = value;
+          onChanged();
+          return this;
+        }
+
+        @java.lang.Override
+        public final Builder setUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.setUnknownFields(unknownFields);
+        }
+
+        @java.lang.Override
+        public final Builder mergeUnknownFields(
+            final com.google.protobuf.UnknownFieldSet unknownFields) {
+          return super.mergeUnknownFields(unknownFields);
+        }
+
+        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation)
+      }
+
+      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation)
+      private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTablesInputs.Transformation.TextArrayTransformation
+          DEFAULT_INSTANCE;
+
+      static {
+        DEFAULT_INSTANCE =
+            new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextArrayTransformation();
+      }
+
+      public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          getDefaultInstance() {
+        return DEFAULT_INSTANCE;
+      }
+
+      private static final com.google.protobuf.Parser<TextArrayTransformation> PARSER =
+          new com.google.protobuf.AbstractParser<TextArrayTransformation>() {
+            @java.lang.Override
+            public TextArrayTransformation parsePartialFrom(
+                com.google.protobuf.CodedInputStream input,
+                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+                throws com.google.protobuf.InvalidProtocolBufferException {
+              return new TextArrayTransformation(input, extensionRegistry);
+            }
+          };
+
+      public static com.google.protobuf.Parser<TextArrayTransformation> parser() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Parser<TextArrayTransformation> getParserForType() {
+        return PARSER;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          getDefaultInstanceForType() {
+        return DEFAULT_INSTANCE;
+      }
+    }
+
+    private int transformationDetailCase_ = 0;
+    private java.lang.Object transformationDetail_;
+
+    public enum TransformationDetailCase
+        implements
+            com.google.protobuf.Internal.EnumLite,
+            com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+      AUTO(1),
+      NUMERIC(2),
+      CATEGORICAL(3),
+      TIMESTAMP(4),
+      TEXT(5),
+      REPEATED_NUMERIC(6),
+      REPEATED_CATEGORICAL(7),
+      REPEATED_TEXT(8),
+      TRANSFORMATIONDETAIL_NOT_SET(0);
+      private final int value;
+
+      private TransformationDetailCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @param value The number of the enum to look for.
+       * @return The enum associated with the given number.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static TransformationDetailCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static TransformationDetailCase forNumber(int value) {
+        switch (value) {
+          case 1:
+            return AUTO;
+          case 2:
+            return NUMERIC;
+          case 3:
+            return CATEGORICAL;
+          case 4:
+            return TIMESTAMP;
+          case 5:
+            return TEXT;
+          case 6:
+            return REPEATED_NUMERIC;
+          case 7:
+            return REPEATED_CATEGORICAL;
+          case 8:
+            return REPEATED_TEXT;
+          case 0:
+            return TRANSFORMATIONDETAIL_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public TransformationDetailCase getTransformationDetailCase() {
+      return TransformationDetailCase.forNumber(transformationDetailCase_);
+    }
+
+    public static final int AUTO_FIELD_NUMBER = 1;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+     * </code>
+     *
+     * @return Whether the auto field is set.
+     */
+    @java.lang.Override
+    public boolean hasAuto() {
+      return transformationDetailCase_ == 1;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+     * </code>
+     *
+     * @return The auto.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.AutoTransformation
+        getAuto() {
+      if (transformationDetailCase_ == 1) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.AutoTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.AutoTransformation.getDefaultInstance();
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.AutoTransformationOrBuilder
+        getAutoOrBuilder() {
+      if (transformationDetailCase_ == 1) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.AutoTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.AutoTransformation.getDefaultInstance();
+    }
+
+    public static final int NUMERIC_FIELD_NUMBER = 2;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+     * </code>
+     *
+     * @return Whether the numeric field is set.
+     */
+    @java.lang.Override
+    public boolean hasNumeric() {
+      return transformationDetailCase_ == 2;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+     * </code>
+     *
+     * @return The numeric.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.NumericTransformation
+        getNumeric() {
+      if (transformationDetailCase_ == 2) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.NumericTransformation.getDefaultInstance();
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.NumericTransformationOrBuilder
+        getNumericOrBuilder() {
+      if (transformationDetailCase_ == 2) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.NumericTransformation.getDefaultInstance();
+    }
+
+    public static final int CATEGORICAL_FIELD_NUMBER = 3;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+     * </code>
+     *
+     * @return Whether the categorical field is set.
+     */
+    @java.lang.Override
+    public boolean hasCategorical() {
+      return transformationDetailCase_ == 3;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+     * </code>
+     *
+     * @return The categorical.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.CategoricalTransformation
+        getCategorical() {
+      if (transformationDetailCase_ == 3) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.CategoricalTransformation.getDefaultInstance();
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.CategoricalTransformationOrBuilder
+        getCategoricalOrBuilder() {
+      if (transformationDetailCase_ == 3) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.CategoricalTransformation.getDefaultInstance();
+    }
+
+    public static final int TIMESTAMP_FIELD_NUMBER = 4;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+     * </code>
+     *
+     * @return Whether the timestamp field is set.
+     */
+    @java.lang.Override
+    public boolean hasTimestamp() {
+      return transformationDetailCase_ == 4;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+     * </code>
+     *
+     * @return The timestamp.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.TimestampTransformation
+        getTimestamp() {
+      if (transformationDetailCase_ == 4) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TimestampTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.TimestampTransformation.getDefaultInstance();
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.TimestampTransformationOrBuilder
+        getTimestampOrBuilder() {
+      if (transformationDetailCase_ == 4) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TimestampTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.TimestampTransformation.getDefaultInstance();
+    }
+
+    public static final int TEXT_FIELD_NUMBER = 5;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+     * </code>
+     *
+     * @return Whether the text field is set.
+     */
+    @java.lang.Override
+    public boolean hasText() {
+      return transformationDetailCase_ == 5;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+     * </code>
+     *
+     * @return The text.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.TextTransformation
+        getText() {
+      if (transformationDetailCase_ == 5) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.TextTransformation.getDefaultInstance();
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.TextTransformationOrBuilder
+        getTextOrBuilder() {
+      if (transformationDetailCase_ == 5) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.TextTransformation.getDefaultInstance();
+    }
+
+    public static final int REPEATED_NUMERIC_FIELD_NUMBER = 6;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+     * </code>
+     *
+     * @return Whether the repeatedNumeric field is set.
+     */
+    @java.lang.Override
+    public boolean hasRepeatedNumeric() {
+      return transformationDetailCase_ == 6;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+     * </code>
+     *
+     * @return The repeatedNumeric.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.NumericArrayTransformation
+        getRepeatedNumeric() {
+      if (transformationDetailCase_ == 6) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericArrayTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.NumericArrayTransformation.getDefaultInstance();
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.NumericArrayTransformationOrBuilder
+        getRepeatedNumericOrBuilder() {
+      if (transformationDetailCase_ == 6) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.NumericArrayTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.NumericArrayTransformation.getDefaultInstance();
+    }
+
+    public static final int REPEATED_CATEGORICAL_FIELD_NUMBER = 7;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+     * </code>
+     *
+     * @return Whether the repeatedCategorical field is set.
+     */
+    @java.lang.Override
+    public boolean hasRepeatedCategorical() {
+      return transformationDetailCase_ == 7;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+     * </code>
+     *
+     * @return The repeatedCategorical.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.CategoricalArrayTransformation
+        getRepeatedCategorical() {
+      if (transformationDetailCase_ == 7) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalArrayTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.CategoricalArrayTransformation.getDefaultInstance();
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.CategoricalArrayTransformationOrBuilder
+        getRepeatedCategoricalOrBuilder() {
+      if (transformationDetailCase_ == 7) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.CategoricalArrayTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.CategoricalArrayTransformation.getDefaultInstance();
+    }
+
+    public static final int REPEATED_TEXT_FIELD_NUMBER = 8;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+     * </code>
+     *
+     * @return Whether the repeatedText field is set.
+     */
+    @java.lang.Override
+    public boolean hasRepeatedText() {
+      return transformationDetailCase_ == 8;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+     * </code>
+     *
+     * @return The repeatedText.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.TextArrayTransformation
+        getRepeatedText() {
+      if (transformationDetailCase_ == 8) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextArrayTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.TextArrayTransformation.getDefaultInstance();
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.TextArrayTransformationOrBuilder
+        getRepeatedTextOrBuilder() {
+      if (transformationDetailCase_ == 8) {
+        return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.TextArrayTransformation)
+            transformationDetail_;
+      }
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation.TextArrayTransformation.getDefaultInstance();
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (transformationDetailCase_ == 1) {
+        output.writeMessage(
+            1,
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.AutoTransformation)
+                transformationDetail_);
+      }
+      if (transformationDetailCase_ == 2) {
+        output.writeMessage(
+            2,
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericTransformation)
+                transformationDetail_);
+      }
+      if (transformationDetailCase_ == 3) {
+        output.writeMessage(
+            3,
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalTransformation)
+                transformationDetail_);
+      }
+      if (transformationDetailCase_ == 4) {
+        output.writeMessage(
+            4,
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TimestampTransformation)
+                transformationDetail_);
+      }
+      if (transformationDetailCase_ == 5) {
+        output.writeMessage(
+            5,
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextTransformation)
+                transformationDetail_);
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+        output.writeMessage(
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+                transformationDetail_);
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+        output.writeMessage(
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+                transformationDetail_);
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+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
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+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
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+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation.AutoTransformation)
+                    transformationDetail_);
+      }
+      if (transformationDetailCase_ == 2) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
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+                    transformationDetail_);
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+            com.google.protobuf.CodedOutputStream.computeMessageSize(
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+                    transformationDetail_);
+      }
+      if (transformationDetailCase_ == 4) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
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+                (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
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+                    transformationDetail_);
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+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
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+            com.google.protobuf.CodedOutputStream.computeMessageSize(
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+                    transformationDetail_);
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+      if (transformationDetailCase_ == 8) {
+        size +=
+            com.google.protobuf.CodedOutputStream.computeMessageSize(
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+                    transformationDetail_);
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+          other =
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+
+      if (!getTransformationDetailCase().equals(other.getTransformationDetailCase())) return false;
+      switch (transformationDetailCase_) {
+        case 1:
+          if (!getAuto().equals(other.getAuto())) return false;
+          break;
+        case 2:
+          if (!getNumeric().equals(other.getNumeric())) return false;
+          break;
+        case 3:
+          if (!getCategorical().equals(other.getCategorical())) return false;
+          break;
+        case 4:
+          if (!getTimestamp().equals(other.getTimestamp())) return false;
+          break;
+        case 5:
+          if (!getText().equals(other.getText())) return false;
+          break;
+        case 6:
+          if (!getRepeatedNumeric().equals(other.getRepeatedNumeric())) return false;
+          break;
+        case 7:
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+          break;
+        case 8:
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+          break;
+        case 0:
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+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
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+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      switch (transformationDetailCase_) {
+        case 1:
+          hash = (37 * hash) + AUTO_FIELD_NUMBER;
+          hash = (53 * hash) + getAuto().hashCode();
+          break;
+        case 2:
+          hash = (37 * hash) + NUMERIC_FIELD_NUMBER;
+          hash = (53 * hash) + getNumeric().hashCode();
+          break;
+        case 3:
+          hash = (37 * hash) + CATEGORICAL_FIELD_NUMBER;
+          hash = (53 * hash) + getCategorical().hashCode();
+          break;
+        case 4:
+          hash = (37 * hash) + TIMESTAMP_FIELD_NUMBER;
+          hash = (53 * hash) + getTimestamp().hashCode();
+          break;
+        case 5:
+          hash = (37 * hash) + TEXT_FIELD_NUMBER;
+          hash = (53 * hash) + getText().hashCode();
+          break;
+        case 6:
+          hash = (37 * hash) + REPEATED_NUMERIC_FIELD_NUMBER;
+          hash = (53 * hash) + getRepeatedNumeric().hashCode();
+          break;
+        case 7:
+          hash = (37 * hash) + REPEATED_CATEGORICAL_FIELD_NUMBER;
+          hash = (53 * hash) + getRepeatedCategorical().hashCode();
+          break;
+        case 8:
+          hash = (37 * hash) + REPEATED_TEXT_FIELD_NUMBER;
+          hash = (53 * hash) + getRepeatedText().hashCode();
+          break;
+        case 0:
+        default:
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation)
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .TransformationOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.class,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        transformationDetailCase_ = 0;
+        transformationDetail_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+            .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation
+          build() {
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation
+            result = buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation
+          buildPartial() {
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation
+            result =
+                new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation(this);
+        if (transformationDetailCase_ == 1) {
+          if (autoBuilder_ == null) {
+            result.transformationDetail_ = transformationDetail_;
+          } else {
+            result.transformationDetail_ = autoBuilder_.build();
+          }
+        }
+        if (transformationDetailCase_ == 2) {
+          if (numericBuilder_ == null) {
+            result.transformationDetail_ = transformationDetail_;
+          } else {
+            result.transformationDetail_ = numericBuilder_.build();
+          }
+        }
+        if (transformationDetailCase_ == 3) {
+          if (categoricalBuilder_ == null) {
+            result.transformationDetail_ = transformationDetail_;
+          } else {
+            result.transformationDetail_ = categoricalBuilder_.build();
+          }
+        }
+        if (transformationDetailCase_ == 4) {
+          if (timestampBuilder_ == null) {
+            result.transformationDetail_ = transformationDetail_;
+          } else {
+            result.transformationDetail_ = timestampBuilder_.build();
+          }
+        }
+        if (transformationDetailCase_ == 5) {
+          if (textBuilder_ == null) {
+            result.transformationDetail_ = transformationDetail_;
+          } else {
+            result.transformationDetail_ = textBuilder_.build();
+          }
+        }
+        if (transformationDetailCase_ == 6) {
+          if (repeatedNumericBuilder_ == null) {
+            result.transformationDetail_ = transformationDetail_;
+          } else {
+            result.transformationDetail_ = repeatedNumericBuilder_.build();
+          }
+        }
+        if (transformationDetailCase_ == 7) {
+          if (repeatedCategoricalBuilder_ == null) {
+            result.transformationDetail_ = transformationDetail_;
+          } else {
+            result.transformationDetail_ = repeatedCategoricalBuilder_.build();
+          }
+        }
+        if (transformationDetailCase_ == 8) {
+          if (repeatedTextBuilder_ == null) {
+            result.transformationDetail_ = transformationDetail_;
+          } else {
+            result.transformationDetail_ = repeatedTextBuilder_.build();
+          }
+        }
+        result.transformationDetailCase_ = transformationDetailCase_;
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
+          java.lang.Object value) {
+        return super.setRepeatedField(field, index, value);
+      }
+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation
+              other) {
+        if (other
+            == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.getDefaultInstance()) return this;
+        switch (other.getTransformationDetailCase()) {
+          case AUTO:
+            {
+              mergeAuto(other.getAuto());
+              break;
+            }
+          case NUMERIC:
+            {
+              mergeNumeric(other.getNumeric());
+              break;
+            }
+          case CATEGORICAL:
+            {
+              mergeCategorical(other.getCategorical());
+              break;
+            }
+          case TIMESTAMP:
+            {
+              mergeTimestamp(other.getTimestamp());
+              break;
+            }
+          case TEXT:
+            {
+              mergeText(other.getText());
+              break;
+            }
+          case REPEATED_NUMERIC:
+            {
+              mergeRepeatedNumeric(other.getRepeatedNumeric());
+              break;
+            }
+          case REPEATED_CATEGORICAL:
+            {
+              mergeRepeatedCategorical(other.getRepeatedCategorical());
+              break;
+            }
+          case REPEATED_TEXT:
+            {
+              mergeRepeatedText(other.getRepeatedText());
+              break;
+            }
+          case TRANSFORMATIONDETAIL_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int transformationDetailCase_ = 0;
+      private java.lang.Object transformationDetail_;
+
+      public TransformationDetailCase getTransformationDetailCase() {
+        return TransformationDetailCase.forNumber(transformationDetailCase_);
+      }
+
+      public Builder clearTransformationDetail() {
+        transformationDetailCase_ = 0;
+        transformationDetail_ = null;
+        onChanged();
+        return this;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformationOrBuilder>
+          autoBuilder_;
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       *
+       * @return Whether the auto field is set.
+       */
+      @java.lang.Override
+      public boolean hasAuto() {
+        return transformationDetailCase_ == 1;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       *
+       * @return The auto.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation
+          getAuto() {
+        if (autoBuilder_ == null) {
+          if (transformationDetailCase_ == 1) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.AutoTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation.getDefaultInstance();
+        } else {
+          if (transformationDetailCase_ == 1) {
+            return autoBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       */
+      public Builder setAuto(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation
+              value) {
+        if (autoBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          transformationDetail_ = value;
+          onChanged();
+        } else {
+          autoBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 1;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       */
+      public Builder setAuto(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation.Builder
+              builderForValue) {
+        if (autoBuilder_ == null) {
+          transformationDetail_ = builderForValue.build();
+          onChanged();
+        } else {
+          autoBuilder_.setMessage(builderForValue.build());
+        }
+        transformationDetailCase_ = 1;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       */
+      public Builder mergeAuto(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation
+              value) {
+        if (autoBuilder_ == null) {
+          if (transformationDetailCase_ == 1
+              && transformationDetail_
+                  != com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.AutoTransformation.getDefaultInstance()) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.AutoTransformation.newBuilder(
+                        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                .AutoMlTablesInputs.Transformation.AutoTransformation)
+                            transformationDetail_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            transformationDetail_ = value;
+          }
+          onChanged();
+        } else {
+          if (transformationDetailCase_ == 1) {
+            autoBuilder_.mergeFrom(value);
+          }
+          autoBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 1;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       */
+      public Builder clearAuto() {
+        if (autoBuilder_ == null) {
+          if (transformationDetailCase_ == 1) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+            onChanged();
+          }
+        } else {
+          if (transformationDetailCase_ == 1) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+          }
+          autoBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation.Builder
+          getAutoBuilder() {
+        return getAutoFieldBuilder().getBuilder();
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformationOrBuilder
+          getAutoOrBuilder() {
+        if ((transformationDetailCase_ == 1) && (autoBuilder_ != null)) {
+          return autoBuilder_.getMessageOrBuilder();
+        } else {
+          if (transformationDetailCase_ == 1) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.AutoTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.AutoTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.AutoTransformationOrBuilder>
+          getAutoFieldBuilder() {
+        if (autoBuilder_ == null) {
+          if (!(transformationDetailCase_ == 1)) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.AutoTransformation.getDefaultInstance();
+          }
+          autoBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.AutoTransformation,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.AutoTransformation.Builder,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.AutoTransformationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                          .Transformation.AutoTransformation)
+                      transformationDetail_,
+                  getParentForChildren(),
+                  isClean());
+          transformationDetail_ = null;
+        }
+        transformationDetailCase_ = 1;
+        onChanged();
+        ;
+        return autoBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformationOrBuilder>
+          numericBuilder_;
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       *
+       * @return Whether the numeric field is set.
+       */
+      @java.lang.Override
+      public boolean hasNumeric() {
+        return transformationDetailCase_ == 2;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       *
+       * @return The numeric.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation
+          getNumeric() {
+        if (numericBuilder_ == null) {
+          if (transformationDetailCase_ == 2) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation.getDefaultInstance();
+        } else {
+          if (transformationDetailCase_ == 2) {
+            return numericBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       */
+      public Builder setNumeric(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation
+              value) {
+        if (numericBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          transformationDetail_ = value;
+          onChanged();
+        } else {
+          numericBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 2;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       */
+      public Builder setNumeric(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation.Builder
+              builderForValue) {
+        if (numericBuilder_ == null) {
+          transformationDetail_ = builderForValue.build();
+          onChanged();
+        } else {
+          numericBuilder_.setMessage(builderForValue.build());
+        }
+        transformationDetailCase_ = 2;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       */
+      public Builder mergeNumeric(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation
+              value) {
+        if (numericBuilder_ == null) {
+          if (transformationDetailCase_ == 2
+              && transformationDetail_
+                  != com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericTransformation.getDefaultInstance()) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericTransformation.newBuilder(
+                        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                .AutoMlTablesInputs.Transformation.NumericTransformation)
+                            transformationDetail_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            transformationDetail_ = value;
+          }
+          onChanged();
+        } else {
+          if (transformationDetailCase_ == 2) {
+            numericBuilder_.mergeFrom(value);
+          }
+          numericBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 2;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       */
+      public Builder clearNumeric() {
+        if (numericBuilder_ == null) {
+          if (transformationDetailCase_ == 2) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+            onChanged();
+          }
+        } else {
+          if (transformationDetailCase_ == 2) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+          }
+          numericBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation.Builder
+          getNumericBuilder() {
+        return getNumericFieldBuilder().getBuilder();
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformationOrBuilder
+          getNumericOrBuilder() {
+        if ((transformationDetailCase_ == 2) && (numericBuilder_ != null)) {
+          return numericBuilder_.getMessageOrBuilder();
+        } else {
+          if (transformationDetailCase_ == 2) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericTransformationOrBuilder>
+          getNumericFieldBuilder() {
+        if (numericBuilder_ == null) {
+          if (!(transformationDetailCase_ == 2)) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericTransformation.getDefaultInstance();
+          }
+          numericBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericTransformation,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericTransformation.Builder,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericTransformationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                          .Transformation.NumericTransformation)
+                      transformationDetail_,
+                  getParentForChildren(),
+                  isClean());
+          transformationDetail_ = null;
+        }
+        transformationDetailCase_ = 2;
+        onChanged();
+        ;
+        return numericBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformationOrBuilder>
+          categoricalBuilder_;
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       *
+       * @return Whether the categorical field is set.
+       */
+      @java.lang.Override
+      public boolean hasCategorical() {
+        return transformationDetailCase_ == 3;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       *
+       * @return The categorical.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation
+          getCategorical() {
+        if (categoricalBuilder_ == null) {
+          if (transformationDetailCase_ == 3) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation.getDefaultInstance();
+        } else {
+          if (transformationDetailCase_ == 3) {
+            return categoricalBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       */
+      public Builder setCategorical(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation
+              value) {
+        if (categoricalBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          transformationDetail_ = value;
+          onChanged();
+        } else {
+          categoricalBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 3;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       */
+      public Builder setCategorical(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation.Builder
+              builderForValue) {
+        if (categoricalBuilder_ == null) {
+          transformationDetail_ = builderForValue.build();
+          onChanged();
+        } else {
+          categoricalBuilder_.setMessage(builderForValue.build());
+        }
+        transformationDetailCase_ = 3;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       */
+      public Builder mergeCategorical(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation
+              value) {
+        if (categoricalBuilder_ == null) {
+          if (transformationDetailCase_ == 3
+              && transformationDetail_
+                  != com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalTransformation.getDefaultInstance()) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalTransformation.newBuilder(
+                        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                .AutoMlTablesInputs.Transformation.CategoricalTransformation)
+                            transformationDetail_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            transformationDetail_ = value;
+          }
+          onChanged();
+        } else {
+          if (transformationDetailCase_ == 3) {
+            categoricalBuilder_.mergeFrom(value);
+          }
+          categoricalBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 3;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       */
+      public Builder clearCategorical() {
+        if (categoricalBuilder_ == null) {
+          if (transformationDetailCase_ == 3) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+            onChanged();
+          }
+        } else {
+          if (transformationDetailCase_ == 3) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+          }
+          categoricalBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation.Builder
+          getCategoricalBuilder() {
+        return getCategoricalFieldBuilder().getBuilder();
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformationOrBuilder
+          getCategoricalOrBuilder() {
+        if ((transformationDetailCase_ == 3) && (categoricalBuilder_ != null)) {
+          return categoricalBuilder_.getMessageOrBuilder();
+        } else {
+          if (transformationDetailCase_ == 3) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalTransformationOrBuilder>
+          getCategoricalFieldBuilder() {
+        if (categoricalBuilder_ == null) {
+          if (!(transformationDetailCase_ == 3)) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalTransformation.getDefaultInstance();
+          }
+          categoricalBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalTransformation,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalTransformation.Builder,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalTransformationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                          .Transformation.CategoricalTransformation)
+                      transformationDetail_,
+                  getParentForChildren(),
+                  isClean());
+          transformationDetail_ = null;
+        }
+        transformationDetailCase_ = 3;
+        onChanged();
+        ;
+        return categoricalBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformationOrBuilder>
+          timestampBuilder_;
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       *
+       * @return Whether the timestamp field is set.
+       */
+      @java.lang.Override
+      public boolean hasTimestamp() {
+        return transformationDetailCase_ == 4;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       *
+       * @return The timestamp.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation
+          getTimestamp() {
+        if (timestampBuilder_ == null) {
+          if (transformationDetailCase_ == 4) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TimestampTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation.getDefaultInstance();
+        } else {
+          if (transformationDetailCase_ == 4) {
+            return timestampBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       */
+      public Builder setTimestamp(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation
+              value) {
+        if (timestampBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          transformationDetail_ = value;
+          onChanged();
+        } else {
+          timestampBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 4;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       */
+      public Builder setTimestamp(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation.Builder
+              builderForValue) {
+        if (timestampBuilder_ == null) {
+          transformationDetail_ = builderForValue.build();
+          onChanged();
+        } else {
+          timestampBuilder_.setMessage(builderForValue.build());
+        }
+        transformationDetailCase_ = 4;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       */
+      public Builder mergeTimestamp(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation
+              value) {
+        if (timestampBuilder_ == null) {
+          if (transformationDetailCase_ == 4
+              && transformationDetail_
+                  != com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TimestampTransformation.getDefaultInstance()) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TimestampTransformation.newBuilder(
+                        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                .AutoMlTablesInputs.Transformation.TimestampTransformation)
+                            transformationDetail_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            transformationDetail_ = value;
+          }
+          onChanged();
+        } else {
+          if (transformationDetailCase_ == 4) {
+            timestampBuilder_.mergeFrom(value);
+          }
+          timestampBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 4;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       */
+      public Builder clearTimestamp() {
+        if (timestampBuilder_ == null) {
+          if (transformationDetailCase_ == 4) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+            onChanged();
+          }
+        } else {
+          if (transformationDetailCase_ == 4) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+          }
+          timestampBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation.Builder
+          getTimestampBuilder() {
+        return getTimestampFieldBuilder().getBuilder();
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformationOrBuilder
+          getTimestampOrBuilder() {
+        if ((transformationDetailCase_ == 4) && (timestampBuilder_ != null)) {
+          return timestampBuilder_.getMessageOrBuilder();
+        } else {
+          if (transformationDetailCase_ == 4) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TimestampTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TimestampTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TimestampTransformationOrBuilder>
+          getTimestampFieldBuilder() {
+        if (timestampBuilder_ == null) {
+          if (!(transformationDetailCase_ == 4)) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TimestampTransformation.getDefaultInstance();
+          }
+          timestampBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TimestampTransformation,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TimestampTransformation.Builder,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TimestampTransformationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                          .Transformation.TimestampTransformation)
+                      transformationDetail_,
+                  getParentForChildren(),
+                  isClean());
+          transformationDetail_ = null;
+        }
+        transformationDetailCase_ = 4;
+        onChanged();
+        ;
+        return timestampBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformationOrBuilder>
+          textBuilder_;
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       *
+       * @return Whether the text field is set.
+       */
+      @java.lang.Override
+      public boolean hasText() {
+        return transformationDetailCase_ == 5;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       *
+       * @return The text.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation
+          getText() {
+        if (textBuilder_ == null) {
+          if (transformationDetailCase_ == 5) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation.getDefaultInstance();
+        } else {
+          if (transformationDetailCase_ == 5) {
+            return textBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       */
+      public Builder setText(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation
+              value) {
+        if (textBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          transformationDetail_ = value;
+          onChanged();
+        } else {
+          textBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 5;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       */
+      public Builder setText(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation.Builder
+              builderForValue) {
+        if (textBuilder_ == null) {
+          transformationDetail_ = builderForValue.build();
+          onChanged();
+        } else {
+          textBuilder_.setMessage(builderForValue.build());
+        }
+        transformationDetailCase_ = 5;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       */
+      public Builder mergeText(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation
+              value) {
+        if (textBuilder_ == null) {
+          if (transformationDetailCase_ == 5
+              && transformationDetail_
+                  != com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextTransformation.getDefaultInstance()) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextTransformation.newBuilder(
+                        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                .AutoMlTablesInputs.Transformation.TextTransformation)
+                            transformationDetail_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            transformationDetail_ = value;
+          }
+          onChanged();
+        } else {
+          if (transformationDetailCase_ == 5) {
+            textBuilder_.mergeFrom(value);
+          }
+          textBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 5;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       */
+      public Builder clearText() {
+        if (textBuilder_ == null) {
+          if (transformationDetailCase_ == 5) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+            onChanged();
+          }
+        } else {
+          if (transformationDetailCase_ == 5) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+          }
+          textBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation.Builder
+          getTextBuilder() {
+        return getTextFieldBuilder().getBuilder();
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformationOrBuilder
+          getTextOrBuilder() {
+        if ((transformationDetailCase_ == 5) && (textBuilder_ != null)) {
+          return textBuilder_.getMessageOrBuilder();
+        } else {
+          if (transformationDetailCase_ == 5) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextTransformationOrBuilder>
+          getTextFieldBuilder() {
+        if (textBuilder_ == null) {
+          if (!(transformationDetailCase_ == 5)) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextTransformation.getDefaultInstance();
+          }
+          textBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextTransformation,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextTransformation.Builder,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextTransformationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                          .Transformation.TextTransformation)
+                      transformationDetail_,
+                  getParentForChildren(),
+                  isClean());
+          transformationDetail_ = null;
+        }
+        transformationDetailCase_ = 5;
+        onChanged();
+        ;
+        return textBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformationOrBuilder>
+          repeatedNumericBuilder_;
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       *
+       * @return Whether the repeatedNumeric field is set.
+       */
+      @java.lang.Override
+      public boolean hasRepeatedNumeric() {
+        return transformationDetailCase_ == 6;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       *
+       * @return The repeatedNumeric.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation
+          getRepeatedNumeric() {
+        if (repeatedNumericBuilder_ == null) {
+          if (transformationDetailCase_ == 6) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericArrayTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation.getDefaultInstance();
+        } else {
+          if (transformationDetailCase_ == 6) {
+            return repeatedNumericBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       */
+      public Builder setRepeatedNumeric(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation
+              value) {
+        if (repeatedNumericBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          transformationDetail_ = value;
+          onChanged();
+        } else {
+          repeatedNumericBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 6;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       */
+      public Builder setRepeatedNumeric(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation.Builder
+              builderForValue) {
+        if (repeatedNumericBuilder_ == null) {
+          transformationDetail_ = builderForValue.build();
+          onChanged();
+        } else {
+          repeatedNumericBuilder_.setMessage(builderForValue.build());
+        }
+        transformationDetailCase_ = 6;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       */
+      public Builder mergeRepeatedNumeric(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation
+              value) {
+        if (repeatedNumericBuilder_ == null) {
+          if (transformationDetailCase_ == 6
+              && transformationDetail_
+                  != com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericArrayTransformation.getDefaultInstance()) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericArrayTransformation.newBuilder(
+                        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                .AutoMlTablesInputs.Transformation.NumericArrayTransformation)
+                            transformationDetail_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            transformationDetail_ = value;
+          }
+          onChanged();
+        } else {
+          if (transformationDetailCase_ == 6) {
+            repeatedNumericBuilder_.mergeFrom(value);
+          }
+          repeatedNumericBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 6;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       */
+      public Builder clearRepeatedNumeric() {
+        if (repeatedNumericBuilder_ == null) {
+          if (transformationDetailCase_ == 6) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+            onChanged();
+          }
+        } else {
+          if (transformationDetailCase_ == 6) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+          }
+          repeatedNumericBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation.Builder
+          getRepeatedNumericBuilder() {
+        return getRepeatedNumericFieldBuilder().getBuilder();
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformationOrBuilder
+          getRepeatedNumericOrBuilder() {
+        if ((transformationDetailCase_ == 6) && (repeatedNumericBuilder_ != null)) {
+          return repeatedNumericBuilder_.getMessageOrBuilder();
+        } else {
+          if (transformationDetailCase_ == 6) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericArrayTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.NumericArrayTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.NumericArrayTransformationOrBuilder>
+          getRepeatedNumericFieldBuilder() {
+        if (repeatedNumericBuilder_ == null) {
+          if (!(transformationDetailCase_ == 6)) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.NumericArrayTransformation.getDefaultInstance();
+          }
+          repeatedNumericBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericArrayTransformation,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericArrayTransformation.Builder,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.NumericArrayTransformationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                          .Transformation.NumericArrayTransformation)
+                      transformationDetail_,
+                  getParentForChildren(),
+                  isClean());
+          transformationDetail_ = null;
+        }
+        transformationDetailCase_ = 6;
+        onChanged();
+        ;
+        return repeatedNumericBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformationOrBuilder>
+          repeatedCategoricalBuilder_;
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       *
+       * @return Whether the repeatedCategorical field is set.
+       */
+      @java.lang.Override
+      public boolean hasRepeatedCategorical() {
+        return transformationDetailCase_ == 7;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       *
+       * @return The repeatedCategorical.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation
+          getRepeatedCategorical() {
+        if (repeatedCategoricalBuilder_ == null) {
+          if (transformationDetailCase_ == 7) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalArrayTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation.getDefaultInstance();
+        } else {
+          if (transformationDetailCase_ == 7) {
+            return repeatedCategoricalBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       */
+      public Builder setRepeatedCategorical(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation
+              value) {
+        if (repeatedCategoricalBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          transformationDetail_ = value;
+          onChanged();
+        } else {
+          repeatedCategoricalBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 7;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       */
+      public Builder setRepeatedCategorical(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation.Builder
+              builderForValue) {
+        if (repeatedCategoricalBuilder_ == null) {
+          transformationDetail_ = builderForValue.build();
+          onChanged();
+        } else {
+          repeatedCategoricalBuilder_.setMessage(builderForValue.build());
+        }
+        transformationDetailCase_ = 7;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       */
+      public Builder mergeRepeatedCategorical(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation
+              value) {
+        if (repeatedCategoricalBuilder_ == null) {
+          if (transformationDetailCase_ == 7
+              && transformationDetail_
+                  != com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalArrayTransformation.getDefaultInstance()) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalArrayTransformation.newBuilder(
+                        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
+                            transformationDetail_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            transformationDetail_ = value;
+          }
+          onChanged();
+        } else {
+          if (transformationDetailCase_ == 7) {
+            repeatedCategoricalBuilder_.mergeFrom(value);
+          }
+          repeatedCategoricalBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 7;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       */
+      public Builder clearRepeatedCategorical() {
+        if (repeatedCategoricalBuilder_ == null) {
+          if (transformationDetailCase_ == 7) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+            onChanged();
+          }
+        } else {
+          if (transformationDetailCase_ == 7) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+          }
+          repeatedCategoricalBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation.Builder
+          getRepeatedCategoricalBuilder() {
+        return getRepeatedCategoricalFieldBuilder().getBuilder();
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformationOrBuilder
+          getRepeatedCategoricalOrBuilder() {
+        if ((transformationDetailCase_ == 7) && (repeatedCategoricalBuilder_ != null)) {
+          return repeatedCategoricalBuilder_.getMessageOrBuilder();
+        } else {
+          if (transformationDetailCase_ == 7) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalArrayTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.CategoricalArrayTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.CategoricalArrayTransformationOrBuilder>
+          getRepeatedCategoricalFieldBuilder() {
+        if (repeatedCategoricalBuilder_ == null) {
+          if (!(transformationDetailCase_ == 7)) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.CategoricalArrayTransformation.getDefaultInstance();
+          }
+          repeatedCategoricalBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalArrayTransformation,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalArrayTransformation.Builder,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.CategoricalArrayTransformationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                          .Transformation.CategoricalArrayTransformation)
+                      transformationDetail_,
+                  getParentForChildren(),
+                  isClean());
+          transformationDetail_ = null;
+        }
+        transformationDetailCase_ = 7;
+        onChanged();
+        ;
+        return repeatedCategoricalBuilder_;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformationOrBuilder>
+          repeatedTextBuilder_;
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       *
+       * @return Whether the repeatedText field is set.
+       */
+      @java.lang.Override
+      public boolean hasRepeatedText() {
+        return transformationDetailCase_ == 8;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       *
+       * @return The repeatedText.
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation
+          getRepeatedText() {
+        if (repeatedTextBuilder_ == null) {
+          if (transformationDetailCase_ == 8) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextArrayTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation.getDefaultInstance();
+        } else {
+          if (transformationDetailCase_ == 8) {
+            return repeatedTextBuilder_.getMessage();
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       */
+      public Builder setRepeatedText(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation
+              value) {
+        if (repeatedTextBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          transformationDetail_ = value;
+          onChanged();
+        } else {
+          repeatedTextBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 8;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       */
+      public Builder setRepeatedText(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation.Builder
+              builderForValue) {
+        if (repeatedTextBuilder_ == null) {
+          transformationDetail_ = builderForValue.build();
+          onChanged();
+        } else {
+          repeatedTextBuilder_.setMessage(builderForValue.build());
+        }
+        transformationDetailCase_ = 8;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       */
+      public Builder mergeRepeatedText(
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation
+              value) {
+        if (repeatedTextBuilder_ == null) {
+          if (transformationDetailCase_ == 8
+              && transformationDetail_
+                  != com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextArrayTransformation.getDefaultInstance()) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextArrayTransformation.newBuilder(
+                        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                                .AutoMlTablesInputs.Transformation.TextArrayTransformation)
+                            transformationDetail_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            transformationDetail_ = value;
+          }
+          onChanged();
+        } else {
+          if (transformationDetailCase_ == 8) {
+            repeatedTextBuilder_.mergeFrom(value);
+          }
+          repeatedTextBuilder_.setMessage(value);
+        }
+        transformationDetailCase_ = 8;
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       */
+      public Builder clearRepeatedText() {
+        if (repeatedTextBuilder_ == null) {
+          if (transformationDetailCase_ == 8) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+            onChanged();
+          }
+        } else {
+          if (transformationDetailCase_ == 8) {
+            transformationDetailCase_ = 0;
+            transformationDetail_ = null;
+          }
+          repeatedTextBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       */
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation.Builder
+          getRepeatedTextBuilder() {
+        return getRepeatedTextFieldBuilder().getBuilder();
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       */
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformationOrBuilder
+          getRepeatedTextOrBuilder() {
+        if ((transformationDetailCase_ == 8) && (repeatedTextBuilder_ != null)) {
+          return repeatedTextBuilder_.getMessageOrBuilder();
+        } else {
+          if (transformationDetailCase_ == 8) {
+            return (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextArrayTransformation)
+                transformationDetail_;
+          }
+          return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation.TextArrayTransformation.getDefaultInstance();
+        }
+      }
+      /**
+       * <code>
+       * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
+       * </code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformation.Builder,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.TextArrayTransformationOrBuilder>
+          getRepeatedTextFieldBuilder() {
+        if (repeatedTextBuilder_ == null) {
+          if (!(transformationDetailCase_ == 8)) {
+            transformationDetail_ =
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.TextArrayTransformation.getDefaultInstance();
+          }
+          repeatedTextBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextArrayTransformation,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextArrayTransformation.Builder,
+                  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                      .Transformation.TextArrayTransformationOrBuilder>(
+                  (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                          .Transformation.TextArrayTransformation)
+                      transformationDetail_,
+                  getParentForChildren(),
+                  isClean());
+          transformationDetail_ = null;
+        }
+        transformationDetailCase_ = 8;
+        onChanged();
+        ;
+        return repeatedTextBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation)
+    private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTablesInputs.Transformation
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation();
+    }
+
+    public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<Transformation> PARSER =
+        new com.google.protobuf.AbstractParser<Transformation>() {
+          @java.lang.Override
+          public Transformation parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new Transformation(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<Transformation> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<Transformation> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  private int additionalOptimizationObjectiveConfigCase_ = 0;
+  private java.lang.Object additionalOptimizationObjectiveConfig_;
+
+  public enum AdditionalOptimizationObjectiveConfigCase
+      implements
+          com.google.protobuf.Internal.EnumLite,
+          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+    OPTIMIZATION_OBJECTIVE_RECALL_VALUE(5),
+    OPTIMIZATION_OBJECTIVE_PRECISION_VALUE(6),
+    ADDITIONALOPTIMIZATIONOBJECTIVECONFIG_NOT_SET(0);
+    private final int value;
+
+    private AdditionalOptimizationObjectiveConfigCase(int value) {
+      this.value = value;
+    }
+    /**
+     * @param value The number of the enum to look for.
+     * @return The enum associated with the given number.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static AdditionalOptimizationObjectiveConfigCase valueOf(int value) {
+      return forNumber(value);
+    }
+
+    public static AdditionalOptimizationObjectiveConfigCase forNumber(int value) {
+      switch (value) {
+        case 5:
+          return OPTIMIZATION_OBJECTIVE_RECALL_VALUE;
+        case 6:
+          return OPTIMIZATION_OBJECTIVE_PRECISION_VALUE;
+        case 0:
+          return ADDITIONALOPTIMIZATIONOBJECTIVECONFIG_NOT_SET;
+        default:
+          return null;
+      }
+    }
+
+    public int getNumber() {
+      return this.value;
+    }
+  };
+
+  public AdditionalOptimizationObjectiveConfigCase getAdditionalOptimizationObjectiveConfigCase() {
+    return AdditionalOptimizationObjectiveConfigCase.forNumber(
+        additionalOptimizationObjectiveConfigCase_);
+  }
+
+  public static final int OPTIMIZATION_OBJECTIVE_RECALL_VALUE_FIELD_NUMBER = 5;
+  /**
+   *
+   *
+   * <pre>
+   * Required when optimization_objective is "maximize-precision-at-recall".
+   * Must be between 0 and 1, inclusive.
+   * </pre>
+   *
+   * <code>float optimization_objective_recall_value = 5;</code>
+   *
+   * @return The optimizationObjectiveRecallValue.
+   */
+  @java.lang.Override
+  public float getOptimizationObjectiveRecallValue() {
+    if (additionalOptimizationObjectiveConfigCase_ == 5) {
+      return (java.lang.Float) additionalOptimizationObjectiveConfig_;
+    }
+    return 0F;
+  }
+
+  public static final int OPTIMIZATION_OBJECTIVE_PRECISION_VALUE_FIELD_NUMBER = 6;
+  /**
+   *
+   *
+   * <pre>
+   * Required when optimization_objective is "maximize-recall-at-precision".
+   * Must be between 0 and 1, inclusive.
+   * </pre>
+   *
+   * <code>float optimization_objective_precision_value = 6;</code>
+   *
+   * @return The optimizationObjectivePrecisionValue.
+   */
+  @java.lang.Override
+  public float getOptimizationObjectivePrecisionValue() {
+    if (additionalOptimizationObjectiveConfigCase_ == 6) {
+      return (java.lang.Float) additionalOptimizationObjectiveConfig_;
+    }
+    return 0F;
+  }
+
+  public static final int PREDICTION_TYPE_FIELD_NUMBER = 1;
+  private volatile java.lang.Object predictionType_;
+  /**
+   *
+   *
+   * <pre>
+   * The type of prediction the Model is to produce.
+   *   "classification" - Predict one out of multiple target values is
+   *                      picked for each row.
+   *   "regression" - Predict a value based on its relation to other values.
+   *                  This type is available only to columns that contain
+   *                  semantically numeric values, i.e. integers or floating
+   *                  point number, even if stored as e.g. strings.
+   * </pre>
+   *
+   * <code>string prediction_type = 1;</code>
+   *
+   * @return The predictionType.
+   */
+  @java.lang.Override
+  public java.lang.String getPredictionType() {
+    java.lang.Object ref = predictionType_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      predictionType_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The type of prediction the Model is to produce.
+   *   "classification" - Predict one out of multiple target values is
+   *                      picked for each row.
+   *   "regression" - Predict a value based on its relation to other values.
+   *                  This type is available only to columns that contain
+   *                  semantically numeric values, i.e. integers or floating
+   *                  point number, even if stored as e.g. strings.
+   * </pre>
+   *
+   * <code>string prediction_type = 1;</code>
+   *
+   * @return The bytes for predictionType.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getPredictionTypeBytes() {
+    java.lang.Object ref = predictionType_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      predictionType_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TARGET_COLUMN_FIELD_NUMBER = 2;
+  private volatile java.lang.Object targetColumn_;
+  /**
+   *
+   *
+   * <pre>
+   * The column name of the target column that the model is to predict.
+   * </pre>
+   *
+   * <code>string target_column = 2;</code>
+   *
+   * @return The targetColumn.
+   */
+  @java.lang.Override
+  public java.lang.String getTargetColumn() {
+    java.lang.Object ref = targetColumn_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      targetColumn_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The column name of the target column that the model is to predict.
+   * </pre>
+   *
+   * <code>string target_column = 2;</code>
+   *
+   * @return The bytes for targetColumn.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getTargetColumnBytes() {
+    java.lang.Object ref = targetColumn_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      targetColumn_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TRANSFORMATIONS_FIELD_NUMBER = 3;
+  private java.util.List<
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation>
+      transformations_;
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation>
+      getTransformationsList() {
+    return transformations_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .TransformationOrBuilder>
+      getTransformationsOrBuilderList() {
+    return transformations_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  @java.lang.Override
+  public int getTransformationsCount() {
+    return transformations_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .Transformation
+      getTransformations(int index) {
+    return transformations_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .TransformationOrBuilder
+      getTransformationsOrBuilder(int index) {
+    return transformations_.get(index);
+  }
+
+  public static final int OPTIMIZATION_OBJECTIVE_FIELD_NUMBER = 4;
+  private volatile java.lang.Object optimizationObjective_;
+  /**
+   *
+   *
+   * <pre>
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction type.
+   * If the field is not set, a default objective function is used.
+   * classification (binary):
+   *   "maximize-au-roc" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "minimize-log-loss" - Minimize log loss.
+   *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+   *   "maximize-precision-at-recall" - Maximize precision for a specified
+   *                                   recall value.
+   *   "maximize-recall-at-precision" - Maximize recall for a specified
+   *                                    precision value.
+   * classification (multi-class):
+   *   "minimize-log-loss" (default) - Minimize log loss.
+   * regression:
+   *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+   *   "minimize-mae" - Minimize mean-absolute error (MAE).
+   *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+   * </pre>
+   *
+   * <code>string optimization_objective = 4;</code>
+   *
+   * @return The optimizationObjective.
+   */
+  @java.lang.Override
+  public java.lang.String getOptimizationObjective() {
+    java.lang.Object ref = optimizationObjective_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      optimizationObjective_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction type.
+   * If the field is not set, a default objective function is used.
+   * classification (binary):
+   *   "maximize-au-roc" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "minimize-log-loss" - Minimize log loss.
+   *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+   *   "maximize-precision-at-recall" - Maximize precision for a specified
+   *                                   recall value.
+   *   "maximize-recall-at-precision" - Maximize recall for a specified
+   *                                    precision value.
+   * classification (multi-class):
+   *   "minimize-log-loss" (default) - Minimize log loss.
+   * regression:
+   *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+   *   "minimize-mae" - Minimize mean-absolute error (MAE).
+   *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+   * </pre>
+   *
+   * <code>string optimization_objective = 4;</code>
+   *
+   * @return The bytes for optimizationObjective.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getOptimizationObjectiveBytes() {
+    java.lang.Object ref = optimizationObjective_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      optimizationObjective_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 7;
+  private long trainBudgetMilliNodeHours_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The train budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour.
+   * The training cost of the model will not exceed this budget. The final cost
+   * will be attempted to be close to the budget, though may end up being (even)
+   * noticeably smaller - at the backend's discretion. This especially may
+   * happen when further model training ceases to provide any improvements.
+   * If the budget is set to a value known to be insufficient to train a
+   * model for the given dataset, the training won't be attempted and
+   * will error.
+   * The train budget must be between 1,000 and 72,000 milli node hours,
+   * inclusive.
+   * </pre>
+   *
+   * <code>int64 train_budget_milli_node_hours = 7;</code>
+   *
+   * @return The trainBudgetMilliNodeHours.
+   */
+  @java.lang.Override
+  public long getTrainBudgetMilliNodeHours() {
+    return trainBudgetMilliNodeHours_;
+  }
+
+  public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER = 8;
+  private boolean disableEarlyStopping_;
+  /**
+   *
+   *
+   * <pre>
+   * Use the entire training budget. This disables the early stopping feature.
+   * By default, the early stopping feature is enabled, which means that AutoML
+   * Tables might stop training before the entire training budget has been used.
+   * </pre>
+   *
+   * <code>bool disable_early_stopping = 8;</code>
+   *
+   * @return The disableEarlyStopping.
+   */
+  @java.lang.Override
+  public boolean getDisableEarlyStopping() {
+    return disableEarlyStopping_;
+  }
+
+  public static final int WEIGHT_COLUMN_NAME_FIELD_NUMBER = 9;
+  private volatile java.lang.Object weightColumnName_;
+  /**
+   *
+   *
+   * <pre>
+   * Column name that should be used as the weight column.
+   * Higher values in this column give more importance to the row
+   * during model training. The column must have numeric values between 0 and
+   * 10000 inclusively; 0 means the row is ignored for training. If weight
+   * column field is not set, then all rows are assumed to have equal weight
+   * of 1.
+   * </pre>
+   *
+   * <code>string weight_column_name = 9;</code>
+   *
+   * @return The weightColumnName.
+   */
+  @java.lang.Override
+  public java.lang.String getWeightColumnName() {
+    java.lang.Object ref = weightColumnName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      weightColumnName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Column name that should be used as the weight column.
+   * Higher values in this column give more importance to the row
+   * during model training. The column must have numeric values between 0 and
+   * 10000 inclusively; 0 means the row is ignored for training. If weight
+   * column field is not set, then all rows are assumed to have equal weight
+   * of 1.
+   * </pre>
+   *
+   * <code>string weight_column_name = 9;</code>
+   *
+   * @return The bytes for weightColumnName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getWeightColumnNameBytes() {
+    java.lang.Object ref = weightColumnName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      weightColumnName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER = 10;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      exportEvaluatedDataItemsConfig_;
+  /**
+   *
+   *
+   * <pre>
+   * Configuration for exporting test set predictions to a BigQuery table. If
+   * this configuration is absent, then the export is not performed.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+   * </code>
+   *
+   * @return Whether the exportEvaluatedDataItemsConfig field is set.
+   */
+  @java.lang.Override
+  public boolean hasExportEvaluatedDataItemsConfig() {
+    return exportEvaluatedDataItemsConfig_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Configuration for exporting test set predictions to a BigQuery table. If
+   * this configuration is absent, then the export is not performed.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+   * </code>
+   *
+   * @return The exportEvaluatedDataItemsConfig.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+      getExportEvaluatedDataItemsConfig() {
+    return exportEvaluatedDataItemsConfig_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig.getDefaultInstance()
+        : exportEvaluatedDataItemsConfig_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Configuration for exporting test set predictions to a BigQuery table. If
+   * this configuration is absent, then the export is not performed.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfigOrBuilder
+      getExportEvaluatedDataItemsConfigOrBuilder() {
+    return getExportEvaluatedDataItemsConfig();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getPredictionTypeBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, predictionType_);
+    }
+    if (!getTargetColumnBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, targetColumn_);
+    }
+    for (int i = 0; i < transformations_.size(); i++) {
+      output.writeMessage(3, transformations_.get(i));
+    }
+    if (!getOptimizationObjectiveBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, optimizationObjective_);
+    }
+    if (additionalOptimizationObjectiveConfigCase_ == 5) {
+      output.writeFloat(5, (float) ((java.lang.Float) additionalOptimizationObjectiveConfig_));
+    }
+    if (additionalOptimizationObjectiveConfigCase_ == 6) {
+      output.writeFloat(6, (float) ((java.lang.Float) additionalOptimizationObjectiveConfig_));
+    }
+    if (trainBudgetMilliNodeHours_ != 0L) {
+      output.writeInt64(7, trainBudgetMilliNodeHours_);
+    }
+    if (disableEarlyStopping_ != false) {
+      output.writeBool(8, disableEarlyStopping_);
+    }
+    if (!getWeightColumnNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 9, weightColumnName_);
+    }
+    if (exportEvaluatedDataItemsConfig_ != null) {
+      output.writeMessage(10, getExportEvaluatedDataItemsConfig());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getPredictionTypeBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, predictionType_);
+    }
+    if (!getTargetColumnBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, targetColumn_);
+    }
+    for (int i = 0; i < transformations_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, transformations_.get(i));
+    }
+    if (!getOptimizationObjectiveBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, optimizationObjective_);
+    }
+    if (additionalOptimizationObjectiveConfigCase_ == 5) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeFloatSize(
+              5, (float) ((java.lang.Float) additionalOptimizationObjectiveConfig_));
+    }
+    if (additionalOptimizationObjectiveConfigCase_ == 6) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeFloatSize(
+              6, (float) ((java.lang.Float) additionalOptimizationObjectiveConfig_));
+    }
+    if (trainBudgetMilliNodeHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(7, trainBudgetMilliNodeHours_);
+    }
+    if (disableEarlyStopping_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(8, disableEarlyStopping_);
+    }
+    if (!getWeightColumnNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(9, weightColumnName_);
+    }
+    if (exportEvaluatedDataItemsConfig_ != null) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(
+              10, getExportEvaluatedDataItemsConfig());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs) obj;
+
+    if (!getPredictionType().equals(other.getPredictionType())) return false;
+    if (!getTargetColumn().equals(other.getTargetColumn())) return false;
+    if (!getTransformationsList().equals(other.getTransformationsList())) return false;
+    if (!getOptimizationObjective().equals(other.getOptimizationObjective())) return false;
+    if (getTrainBudgetMilliNodeHours() != other.getTrainBudgetMilliNodeHours()) return false;
+    if (getDisableEarlyStopping() != other.getDisableEarlyStopping()) return false;
+    if (!getWeightColumnName().equals(other.getWeightColumnName())) return false;
+    if (hasExportEvaluatedDataItemsConfig() != other.hasExportEvaluatedDataItemsConfig())
+      return false;
+    if (hasExportEvaluatedDataItemsConfig()) {
+      if (!getExportEvaluatedDataItemsConfig().equals(other.getExportEvaluatedDataItemsConfig()))
+        return false;
+    }
+    if (!getAdditionalOptimizationObjectiveConfigCase()
+        .equals(other.getAdditionalOptimizationObjectiveConfigCase())) return false;
+    switch (additionalOptimizationObjectiveConfigCase_) {
+      case 5:
+        if (java.lang.Float.floatToIntBits(getOptimizationObjectiveRecallValue())
+            != java.lang.Float.floatToIntBits(other.getOptimizationObjectiveRecallValue()))
+          return false;
+        break;
+      case 6:
+        if (java.lang.Float.floatToIntBits(getOptimizationObjectivePrecisionValue())
+            != java.lang.Float.floatToIntBits(other.getOptimizationObjectivePrecisionValue()))
+          return false;
+        break;
+      case 0:
+      default:
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + PREDICTION_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + getPredictionType().hashCode();
+    hash = (37 * hash) + TARGET_COLUMN_FIELD_NUMBER;
+    hash = (53 * hash) + getTargetColumn().hashCode();
+    if (getTransformationsCount() > 0) {
+      hash = (37 * hash) + TRANSFORMATIONS_FIELD_NUMBER;
+      hash = (53 * hash) + getTransformationsList().hashCode();
+    }
+    hash = (37 * hash) + OPTIMIZATION_OBJECTIVE_FIELD_NUMBER;
+    hash = (53 * hash) + getOptimizationObjective().hashCode();
+    hash = (37 * hash) + TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainBudgetMilliNodeHours());
+    hash = (37 * hash) + DISABLE_EARLY_STOPPING_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getDisableEarlyStopping());
+    hash = (37 * hash) + WEIGHT_COLUMN_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getWeightColumnName().hashCode();
+    if (hasExportEvaluatedDataItemsConfig()) {
+      hash = (37 * hash) + EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER;
+      hash = (53 * hash) + getExportEvaluatedDataItemsConfig().hashCode();
+    }
+    switch (additionalOptimizationObjectiveConfigCase_) {
+      case 5:
+        hash = (37 * hash) + OPTIMIZATION_OBJECTIVE_RECALL_VALUE_FIELD_NUMBER;
+        hash = (53 * hash) + java.lang.Float.floatToIntBits(getOptimizationObjectiveRecallValue());
+        break;
+      case 6:
+        hash = (37 * hash) + OPTIMIZATION_OBJECTIVE_PRECISION_VALUE_FIELD_NUMBER;
+        hash =
+            (53 * hash) + java.lang.Float.floatToIntBits(getOptimizationObjectivePrecisionValue());
+        break;
+      case 0:
+      default:
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getTransformationsFieldBuilder();
+      }
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      predictionType_ = "";
+
+      targetColumn_ = "";
+
+      if (transformationsBuilder_ == null) {
+        transformations_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        transformationsBuilder_.clear();
+      }
+      optimizationObjective_ = "";
+
+      trainBudgetMilliNodeHours_ = 0L;
+
+      disableEarlyStopping_ = false;
+
+      weightColumnName_ = "";
+
+      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+        exportEvaluatedDataItemsConfig_ = null;
+      } else {
+        exportEvaluatedDataItemsConfig_ = null;
+        exportEvaluatedDataItemsConfigBuilder_ = null;
+      }
+      additionalOptimizationObjectiveConfigCase_ = 0;
+      additionalOptimizationObjectiveConfig_ = null;
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs result =
+          new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs(this);
+      int from_bitField0_ = bitField0_;
+      if (additionalOptimizationObjectiveConfigCase_ == 5) {
+        result.additionalOptimizationObjectiveConfig_ = additionalOptimizationObjectiveConfig_;
+      }
+      if (additionalOptimizationObjectiveConfigCase_ == 6) {
+        result.additionalOptimizationObjectiveConfig_ = additionalOptimizationObjectiveConfig_;
+      }
+      result.predictionType_ = predictionType_;
+      result.targetColumn_ = targetColumn_;
+      if (transformationsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          transformations_ = java.util.Collections.unmodifiableList(transformations_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.transformations_ = transformations_;
+      } else {
+        result.transformations_ = transformationsBuilder_.build();
+      }
+      result.optimizationObjective_ = optimizationObjective_;
+      result.trainBudgetMilliNodeHours_ = trainBudgetMilliNodeHours_;
+      result.disableEarlyStopping_ = disableEarlyStopping_;
+      result.weightColumnName_ = weightColumnName_;
+      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+        result.exportEvaluatedDataItemsConfig_ = exportEvaluatedDataItemsConfig_;
+      } else {
+        result.exportEvaluatedDataItemsConfig_ = exportEvaluatedDataItemsConfigBuilder_.build();
+      }
+      result.additionalOptimizationObjectiveConfigCase_ =
+          additionalOptimizationObjectiveConfigCase_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .getDefaultInstance()) return this;
+      if (!other.getPredictionType().isEmpty()) {
+        predictionType_ = other.predictionType_;
+        onChanged();
+      }
+      if (!other.getTargetColumn().isEmpty()) {
+        targetColumn_ = other.targetColumn_;
+        onChanged();
+      }
+      if (transformationsBuilder_ == null) {
+        if (!other.transformations_.isEmpty()) {
+          if (transformations_.isEmpty()) {
+            transformations_ = other.transformations_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensureTransformationsIsMutable();
+            transformations_.addAll(other.transformations_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.transformations_.isEmpty()) {
+          if (transformationsBuilder_.isEmpty()) {
+            transformationsBuilder_.dispose();
+            transformationsBuilder_ = null;
+            transformations_ = other.transformations_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            transformationsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getTransformationsFieldBuilder()
+                    : null;
+          } else {
+            transformationsBuilder_.addAllMessages(other.transformations_);
+          }
+        }
+      }
+      if (!other.getOptimizationObjective().isEmpty()) {
+        optimizationObjective_ = other.optimizationObjective_;
+        onChanged();
+      }
+      if (other.getTrainBudgetMilliNodeHours() != 0L) {
+        setTrainBudgetMilliNodeHours(other.getTrainBudgetMilliNodeHours());
+      }
+      if (other.getDisableEarlyStopping() != false) {
+        setDisableEarlyStopping(other.getDisableEarlyStopping());
+      }
+      if (!other.getWeightColumnName().isEmpty()) {
+        weightColumnName_ = other.weightColumnName_;
+        onChanged();
+      }
+      if (other.hasExportEvaluatedDataItemsConfig()) {
+        mergeExportEvaluatedDataItemsConfig(other.getExportEvaluatedDataItemsConfig());
+      }
+      switch (other.getAdditionalOptimizationObjectiveConfigCase()) {
+        case OPTIMIZATION_OBJECTIVE_RECALL_VALUE:
+          {
+            setOptimizationObjectiveRecallValue(other.getOptimizationObjectiveRecallValue());
+            break;
+          }
+        case OPTIMIZATION_OBJECTIVE_PRECISION_VALUE:
+          {
+            setOptimizationObjectivePrecisionValue(other.getOptimizationObjectivePrecisionValue());
+            break;
+          }
+        case ADDITIONALOPTIMIZATIONOBJECTIVECONFIG_NOT_SET:
+          {
+            break;
+          }
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int additionalOptimizationObjectiveConfigCase_ = 0;
+    private java.lang.Object additionalOptimizationObjectiveConfig_;
+
+    public AdditionalOptimizationObjectiveConfigCase
+        getAdditionalOptimizationObjectiveConfigCase() {
+      return AdditionalOptimizationObjectiveConfigCase.forNumber(
+          additionalOptimizationObjectiveConfigCase_);
+    }
+
+    public Builder clearAdditionalOptimizationObjectiveConfig() {
+      additionalOptimizationObjectiveConfigCase_ = 0;
+      additionalOptimizationObjectiveConfig_ = null;
+      onChanged();
+      return this;
+    }
+
+    private int bitField0_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Required when optimization_objective is "maximize-precision-at-recall".
+     * Must be between 0 and 1, inclusive.
+     * </pre>
+     *
+     * <code>float optimization_objective_recall_value = 5;</code>
+     *
+     * @return The optimizationObjectiveRecallValue.
+     */
+    public float getOptimizationObjectiveRecallValue() {
+      if (additionalOptimizationObjectiveConfigCase_ == 5) {
+        return (java.lang.Float) additionalOptimizationObjectiveConfig_;
+      }
+      return 0F;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required when optimization_objective is "maximize-precision-at-recall".
+     * Must be between 0 and 1, inclusive.
+     * </pre>
+     *
+     * <code>float optimization_objective_recall_value = 5;</code>
+     *
+     * @param value The optimizationObjectiveRecallValue to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOptimizationObjectiveRecallValue(float value) {
+      additionalOptimizationObjectiveConfigCase_ = 5;
+      additionalOptimizationObjectiveConfig_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required when optimization_objective is "maximize-precision-at-recall".
+     * Must be between 0 and 1, inclusive.
+     * </pre>
+     *
+     * <code>float optimization_objective_recall_value = 5;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOptimizationObjectiveRecallValue() {
+      if (additionalOptimizationObjectiveConfigCase_ == 5) {
+        additionalOptimizationObjectiveConfigCase_ = 0;
+        additionalOptimizationObjectiveConfig_ = null;
+        onChanged();
+      }
+      return this;
+    }
+
+    /**
+     *
+     *
+     * <pre>
+     * Required when optimization_objective is "maximize-recall-at-precision".
+     * Must be between 0 and 1, inclusive.
+     * </pre>
+     *
+     * <code>float optimization_objective_precision_value = 6;</code>
+     *
+     * @return The optimizationObjectivePrecisionValue.
+     */
+    public float getOptimizationObjectivePrecisionValue() {
+      if (additionalOptimizationObjectiveConfigCase_ == 6) {
+        return (java.lang.Float) additionalOptimizationObjectiveConfig_;
+      }
+      return 0F;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required when optimization_objective is "maximize-recall-at-precision".
+     * Must be between 0 and 1, inclusive.
+     * </pre>
+     *
+     * <code>float optimization_objective_precision_value = 6;</code>
+     *
+     * @param value The optimizationObjectivePrecisionValue to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOptimizationObjectivePrecisionValue(float value) {
+      additionalOptimizationObjectiveConfigCase_ = 6;
+      additionalOptimizationObjectiveConfig_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required when optimization_objective is "maximize-recall-at-precision".
+     * Must be between 0 and 1, inclusive.
+     * </pre>
+     *
+     * <code>float optimization_objective_precision_value = 6;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOptimizationObjectivePrecisionValue() {
+      if (additionalOptimizationObjectiveConfigCase_ == 6) {
+        additionalOptimizationObjectiveConfigCase_ = 0;
+        additionalOptimizationObjectiveConfig_ = null;
+        onChanged();
+      }
+      return this;
+    }
+
+    private java.lang.Object predictionType_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The type of prediction the Model is to produce.
+     *   "classification" - Predict one out of multiple target values is
+     *                      picked for each row.
+     *   "regression" - Predict a value based on its relation to other values.
+     *                  This type is available only to columns that contain
+     *                  semantically numeric values, i.e. integers or floating
+     *                  point number, even if stored as e.g. strings.
+     * </pre>
+     *
+     * <code>string prediction_type = 1;</code>
+     *
+     * @return The predictionType.
+     */
+    public java.lang.String getPredictionType() {
+      java.lang.Object ref = predictionType_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        predictionType_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The type of prediction the Model is to produce.
+     *   "classification" - Predict one out of multiple target values is
+     *                      picked for each row.
+     *   "regression" - Predict a value based on its relation to other values.
+     *                  This type is available only to columns that contain
+     *                  semantically numeric values, i.e. integers or floating
+     *                  point number, even if stored as e.g. strings.
+     * </pre>
+     *
+     * <code>string prediction_type = 1;</code>
+     *
+     * @return The bytes for predictionType.
+     */
+    public com.google.protobuf.ByteString getPredictionTypeBytes() {
+      java.lang.Object ref = predictionType_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        predictionType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The type of prediction the Model is to produce.
+     *   "classification" - Predict one out of multiple target values is
+     *                      picked for each row.
+     *   "regression" - Predict a value based on its relation to other values.
+     *                  This type is available only to columns that contain
+     *                  semantically numeric values, i.e. integers or floating
+     *                  point number, even if stored as e.g. strings.
+     * </pre>
+     *
+     * <code>string prediction_type = 1;</code>
+     *
+     * @param value The predictionType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPredictionType(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      predictionType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The type of prediction the Model is to produce.
+     *   "classification" - Predict one out of multiple target values is
+     *                      picked for each row.
+     *   "regression" - Predict a value based on its relation to other values.
+     *                  This type is available only to columns that contain
+     *                  semantically numeric values, i.e. integers or floating
+     *                  point number, even if stored as e.g. strings.
+     * </pre>
+     *
+     * <code>string prediction_type = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearPredictionType() {
+
+      predictionType_ = getDefaultInstance().getPredictionType();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The type of prediction the Model is to produce.
+     *   "classification" - Predict one out of multiple target values is
+     *                      picked for each row.
+     *   "regression" - Predict a value based on its relation to other values.
+     *                  This type is available only to columns that contain
+     *                  semantically numeric values, i.e. integers or floating
+     *                  point number, even if stored as e.g. strings.
+     * </pre>
+     *
+     * <code>string prediction_type = 1;</code>
+     *
+     * @param value The bytes for predictionType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setPredictionTypeBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      predictionType_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object targetColumn_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * The column name of the target column that the model is to predict.
+     * </pre>
+     *
+     * <code>string target_column = 2;</code>
+     *
+     * @return The targetColumn.
+     */
+    public java.lang.String getTargetColumn() {
+      java.lang.Object ref = targetColumn_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        targetColumn_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The column name of the target column that the model is to predict.
+     * </pre>
+     *
+     * <code>string target_column = 2;</code>
+     *
+     * @return The bytes for targetColumn.
+     */
+    public com.google.protobuf.ByteString getTargetColumnBytes() {
+      java.lang.Object ref = targetColumn_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        targetColumn_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The column name of the target column that the model is to predict.
+     * </pre>
+     *
+     * <code>string target_column = 2;</code>
+     *
+     * @param value The targetColumn to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTargetColumn(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      targetColumn_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The column name of the target column that the model is to predict.
+     * </pre>
+     *
+     * <code>string target_column = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTargetColumn() {
+
+      targetColumn_ = getDefaultInstance().getTargetColumn();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The column name of the target column that the model is to predict.
+     * </pre>
+     *
+     * <code>string target_column = 2;</code>
+     *
+     * @param value The bytes for targetColumn to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTargetColumnBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      targetColumn_ = value;
+      onChanged();
+      return this;
+    }
+
+    private java.util.List<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation>
+        transformations_ = java.util.Collections.emptyList();
+
+    private void ensureTransformationsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        transformations_ =
+            new java.util.ArrayList<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation>(transformations_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .TransformationOrBuilder>
+        transformationsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation>
+        getTransformationsList() {
+      if (transformationsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(transformations_);
+      } else {
+        return transformationsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public int getTransformationsCount() {
+      if (transformationsBuilder_ == null) {
+        return transformations_.size();
+      } else {
+        return transformationsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation
+        getTransformations(int index) {
+      if (transformationsBuilder_ == null) {
+        return transformations_.get(index);
+      } else {
+        return transformationsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder setTransformations(
+        int index,
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation
+            value) {
+      if (transformationsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTransformationsIsMutable();
+        transformations_.set(index, value);
+        onChanged();
+      } else {
+        transformationsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder setTransformations(
+        int index,
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.Builder
+            builderForValue) {
+      if (transformationsBuilder_ == null) {
+        ensureTransformationsIsMutable();
+        transformations_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        transformationsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder addTransformations(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation
+            value) {
+      if (transformationsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTransformationsIsMutable();
+        transformations_.add(value);
+        onChanged();
+      } else {
+        transformationsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder addTransformations(
+        int index,
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation
+            value) {
+      if (transformationsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureTransformationsIsMutable();
+        transformations_.add(index, value);
+        onChanged();
+      } else {
+        transformationsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder addTransformations(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.Builder
+            builderForValue) {
+      if (transformationsBuilder_ == null) {
+        ensureTransformationsIsMutable();
+        transformations_.add(builderForValue.build());
+        onChanged();
+      } else {
+        transformationsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder addTransformations(
+        int index,
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.Builder
+            builderForValue) {
+      if (transformationsBuilder_ == null) {
+        ensureTransformationsIsMutable();
+        transformations_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        transformationsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder addAllTransformations(
+        java.lang.Iterable<
+                ? extends
+                    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                        .Transformation>
+            values) {
+      if (transformationsBuilder_ == null) {
+        ensureTransformationsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, transformations_);
+        onChanged();
+      } else {
+        transformationsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder clearTransformations() {
+      if (transformationsBuilder_ == null) {
+        transformations_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        transformationsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public Builder removeTransformations(int index) {
+      if (transformationsBuilder_ == null) {
+        ensureTransformationsIsMutable();
+        transformations_.remove(index);
+        onChanged();
+      } else {
+        transformationsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.Builder
+        getTransformationsBuilder(int index) {
+      return getTransformationsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .TransformationOrBuilder
+        getTransformationsOrBuilder(int index) {
+      if (transformationsBuilder_ == null) {
+        return transformations_.get(index);
+      } else {
+        return transformationsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .TransformationOrBuilder>
+        getTransformationsOrBuilderList() {
+      if (transformationsBuilder_ != null) {
+        return transformationsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(transformations_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.Builder
+        addTransformationsBuilder() {
+      return getTransformationsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+            .Transformation.Builder
+        addTransformationsBuilder(int index) {
+      return getTransformationsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .Transformation.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Each transformation will apply transform function to given input column.
+     * And the result will be used for training.
+     * When creating transformation for BigQuery Struct column, the column should
+     * be flattened using "." as the delimiter.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.Builder>
+        getTransformationsBuilderList() {
+      return getTransformationsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .Transformation.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                .TransformationOrBuilder>
+        getTransformationsFieldBuilder() {
+      if (transformationsBuilder_ == null) {
+        transformationsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .Transformation.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                    .TransformationOrBuilder>(
+                transformations_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        transformations_ = null;
+      }
+      return transformationsBuilder_;
+    }
+
+    private java.lang.Object optimizationObjective_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * classification (binary):
+     *   "maximize-au-roc" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "minimize-log-loss" - Minimize log loss.
+     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+     *   "maximize-precision-at-recall" - Maximize precision for a specified
+     *                                   recall value.
+     *   "maximize-recall-at-precision" - Maximize recall for a specified
+     *                                    precision value.
+     * classification (multi-class):
+     *   "minimize-log-loss" (default) - Minimize log loss.
+     * regression:
+     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+     *   "minimize-mae" - Minimize mean-absolute error (MAE).
+     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+     * </pre>
+     *
+     * <code>string optimization_objective = 4;</code>
+     *
+     * @return The optimizationObjective.
+     */
+    public java.lang.String getOptimizationObjective() {
+      java.lang.Object ref = optimizationObjective_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        optimizationObjective_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * classification (binary):
+     *   "maximize-au-roc" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "minimize-log-loss" - Minimize log loss.
+     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+     *   "maximize-precision-at-recall" - Maximize precision for a specified
+     *                                   recall value.
+     *   "maximize-recall-at-precision" - Maximize recall for a specified
+     *                                    precision value.
+     * classification (multi-class):
+     *   "minimize-log-loss" (default) - Minimize log loss.
+     * regression:
+     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+     *   "minimize-mae" - Minimize mean-absolute error (MAE).
+     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+     * </pre>
+     *
+     * <code>string optimization_objective = 4;</code>
+     *
+     * @return The bytes for optimizationObjective.
+     */
+    public com.google.protobuf.ByteString getOptimizationObjectiveBytes() {
+      java.lang.Object ref = optimizationObjective_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        optimizationObjective_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * classification (binary):
+     *   "maximize-au-roc" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "minimize-log-loss" - Minimize log loss.
+     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+     *   "maximize-precision-at-recall" - Maximize precision for a specified
+     *                                   recall value.
+     *   "maximize-recall-at-precision" - Maximize recall for a specified
+     *                                    precision value.
+     * classification (multi-class):
+     *   "minimize-log-loss" (default) - Minimize log loss.
+     * regression:
+     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+     *   "minimize-mae" - Minimize mean-absolute error (MAE).
+     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+     * </pre>
+     *
+     * <code>string optimization_objective = 4;</code>
+     *
+     * @param value The optimizationObjective to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOptimizationObjective(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      optimizationObjective_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * classification (binary):
+     *   "maximize-au-roc" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "minimize-log-loss" - Minimize log loss.
+     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+     *   "maximize-precision-at-recall" - Maximize precision for a specified
+     *                                   recall value.
+     *   "maximize-recall-at-precision" - Maximize recall for a specified
+     *                                    precision value.
+     * classification (multi-class):
+     *   "minimize-log-loss" (default) - Minimize log loss.
+     * regression:
+     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+     *   "minimize-mae" - Minimize mean-absolute error (MAE).
+     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+     * </pre>
+     *
+     * <code>string optimization_objective = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOptimizationObjective() {
+
+      optimizationObjective_ = getDefaultInstance().getOptimizationObjective();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Objective function the model is optimizing towards. The training process
+     * creates a model that maximizes/minimizes the value of the objective
+     * function over the validation set.
+     * The supported optimization objectives depend on the prediction type.
+     * If the field is not set, a default objective function is used.
+     * classification (binary):
+     *   "maximize-au-roc" (default) - Maximize the area under the receiver
+     *                                 operating characteristic (ROC) curve.
+     *   "minimize-log-loss" - Minimize log loss.
+     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+     *   "maximize-precision-at-recall" - Maximize precision for a specified
+     *                                   recall value.
+     *   "maximize-recall-at-precision" - Maximize recall for a specified
+     *                                    precision value.
+     * classification (multi-class):
+     *   "minimize-log-loss" (default) - Minimize log loss.
+     * regression:
+     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+     *   "minimize-mae" - Minimize mean-absolute error (MAE).
+     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+     * </pre>
+     *
+     * <code>string optimization_objective = 4;</code>
+     *
+     * @param value The bytes for optimizationObjective to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOptimizationObjectiveBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      optimizationObjective_ = value;
+      onChanged();
+      return this;
+    }
+
+    private long trainBudgetMilliNodeHours_;
+    /**
+     *
+     *
+     * <pre>
+     * Required. The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     * The train budget must be between 1,000 and 72,000 milli node hours,
+     * inclusive.
+     * </pre>
+     *
+     * <code>int64 train_budget_milli_node_hours = 7;</code>
+     *
+     * @return The trainBudgetMilliNodeHours.
+     */
+    @java.lang.Override
+    public long getTrainBudgetMilliNodeHours() {
+      return trainBudgetMilliNodeHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     * The train budget must be between 1,000 and 72,000 milli node hours,
+     * inclusive.
+     * </pre>
+     *
+     * <code>int64 train_budget_milli_node_hours = 7;</code>
+     *
+     * @param value The trainBudgetMilliNodeHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainBudgetMilliNodeHours(long value) {
+
+      trainBudgetMilliNodeHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The train budget of creating this model, expressed in milli node
+     * hours i.e. 1,000 value in this field means 1 node hour.
+     * The training cost of the model will not exceed this budget. The final cost
+     * will be attempted to be close to the budget, though may end up being (even)
+     * noticeably smaller - at the backend's discretion. This especially may
+     * happen when further model training ceases to provide any improvements.
+     * If the budget is set to a value known to be insufficient to train a
+     * model for the given dataset, the training won't be attempted and
+     * will error.
+     * The train budget must be between 1,000 and 72,000 milli node hours,
+     * inclusive.
+     * </pre>
+     *
+     * <code>int64 train_budget_milli_node_hours = 7;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTrainBudgetMilliNodeHours() {
+
+      trainBudgetMilliNodeHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    private boolean disableEarlyStopping_;
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * By default, the early stopping feature is enabled, which means that AutoML
+     * Tables might stop training before the entire training budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 8;</code>
+     *
+     * @return The disableEarlyStopping.
+     */
+    @java.lang.Override
+    public boolean getDisableEarlyStopping() {
+      return disableEarlyStopping_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * By default, the early stopping feature is enabled, which means that AutoML
+     * Tables might stop training before the entire training budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 8;</code>
+     *
+     * @param value The disableEarlyStopping to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDisableEarlyStopping(boolean value) {
+
+      disableEarlyStopping_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Use the entire training budget. This disables the early stopping feature.
+     * By default, the early stopping feature is enabled, which means that AutoML
+     * Tables might stop training before the entire training budget has been used.
+     * </pre>
+     *
+     * <code>bool disable_early_stopping = 8;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDisableEarlyStopping() {
+
+      disableEarlyStopping_ = false;
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object weightColumnName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Column name that should be used as the weight column.
+     * Higher values in this column give more importance to the row
+     * during model training. The column must have numeric values between 0 and
+     * 10000 inclusively; 0 means the row is ignored for training. If weight
+     * column field is not set, then all rows are assumed to have equal weight
+     * of 1.
+     * </pre>
+     *
+     * <code>string weight_column_name = 9;</code>
+     *
+     * @return The weightColumnName.
+     */
+    public java.lang.String getWeightColumnName() {
+      java.lang.Object ref = weightColumnName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        weightColumnName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Column name that should be used as the weight column.
+     * Higher values in this column give more importance to the row
+     * during model training. The column must have numeric values between 0 and
+     * 10000 inclusively; 0 means the row is ignored for training. If weight
+     * column field is not set, then all rows are assumed to have equal weight
+     * of 1.
+     * </pre>
+     *
+     * <code>string weight_column_name = 9;</code>
+     *
+     * @return The bytes for weightColumnName.
+     */
+    public com.google.protobuf.ByteString getWeightColumnNameBytes() {
+      java.lang.Object ref = weightColumnName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        weightColumnName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Column name that should be used as the weight column.
+     * Higher values in this column give more importance to the row
+     * during model training. The column must have numeric values between 0 and
+     * 10000 inclusively; 0 means the row is ignored for training. If weight
+     * column field is not set, then all rows are assumed to have equal weight
+     * of 1.
+     * </pre>
+     *
+     * <code>string weight_column_name = 9;</code>
+     *
+     * @param value The weightColumnName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setWeightColumnName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      weightColumnName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Column name that should be used as the weight column.
+     * Higher values in this column give more importance to the row
+     * during model training. The column must have numeric values between 0 and
+     * 10000 inclusively; 0 means the row is ignored for training. If weight
+     * column field is not set, then all rows are assumed to have equal weight
+     * of 1.
+     * </pre>
+     *
+     * <code>string weight_column_name = 9;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearWeightColumnName() {
+
+      weightColumnName_ = getDefaultInstance().getWeightColumnName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Column name that should be used as the weight column.
+     * Higher values in this column give more importance to the row
+     * during model training. The column must have numeric values between 0 and
+     * 10000 inclusively; 0 means the row is ignored for training. If weight
+     * column field is not set, then all rows are assumed to have equal weight
+     * of 1.
+     * </pre>
+     *
+     * <code>string weight_column_name = 9;</code>
+     *
+     * @param value The bytes for weightColumnName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setWeightColumnNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      weightColumnName_ = value;
+      onChanged();
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig
+        exportEvaluatedDataItemsConfig_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfig,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfig.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfigOrBuilder>
+        exportEvaluatedDataItemsConfigBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     *
+     * @return Whether the exportEvaluatedDataItemsConfig field is set.
+     */
+    public boolean hasExportEvaluatedDataItemsConfig() {
+      return exportEvaluatedDataItemsConfigBuilder_ != null
+          || exportEvaluatedDataItemsConfig_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     *
+     * @return The exportEvaluatedDataItemsConfig.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig
+        getExportEvaluatedDataItemsConfig() {
+      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+        return exportEvaluatedDataItemsConfig_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfig.getDefaultInstance()
+            : exportEvaluatedDataItemsConfig_;
+      } else {
+        return exportEvaluatedDataItemsConfigBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     */
+    public Builder setExportEvaluatedDataItemsConfig(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+            value) {
+      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        exportEvaluatedDataItemsConfig_ = value;
+        onChanged();
+      } else {
+        exportEvaluatedDataItemsConfigBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     */
+    public Builder setExportEvaluatedDataItemsConfig(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+                .Builder
+            builderForValue) {
+      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+        exportEvaluatedDataItemsConfig_ = builderForValue.build();
+        onChanged();
+      } else {
+        exportEvaluatedDataItemsConfigBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     */
+    public Builder mergeExportEvaluatedDataItemsConfig(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+            value) {
+      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+        if (exportEvaluatedDataItemsConfig_ != null) {
+          exportEvaluatedDataItemsConfig_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .ExportEvaluatedDataItemsConfig.newBuilder(exportEvaluatedDataItemsConfig_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          exportEvaluatedDataItemsConfig_ = value;
+        }
+        onChanged();
+      } else {
+        exportEvaluatedDataItemsConfigBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     */
+    public Builder clearExportEvaluatedDataItemsConfig() {
+      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+        exportEvaluatedDataItemsConfig_ = null;
+        onChanged();
+      } else {
+        exportEvaluatedDataItemsConfig_ = null;
+        exportEvaluatedDataItemsConfigBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig.Builder
+        getExportEvaluatedDataItemsConfigBuilder() {
+
+      onChanged();
+      return getExportEvaluatedDataItemsConfigFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfigOrBuilder
+        getExportEvaluatedDataItemsConfigOrBuilder() {
+      if (exportEvaluatedDataItemsConfigBuilder_ != null) {
+        return exportEvaluatedDataItemsConfigBuilder_.getMessageOrBuilder();
+      } else {
+        return exportEvaluatedDataItemsConfig_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfig.getDefaultInstance()
+            : exportEvaluatedDataItemsConfig_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Configuration for exporting test set predictions to a BigQuery table. If
+     * this configuration is absent, then the export is not performed.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfig,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfig.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfigOrBuilder>
+        getExportEvaluatedDataItemsConfigFieldBuilder() {
+      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
+        exportEvaluatedDataItemsConfigBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .ExportEvaluatedDataItemsConfig,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .ExportEvaluatedDataItemsConfig.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .ExportEvaluatedDataItemsConfigOrBuilder>(
+                getExportEvaluatedDataItemsConfig(), getParentForChildren(), isClean());
+        exportEvaluatedDataItemsConfig_ = null;
+      }
+      return exportEvaluatedDataItemsConfigBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTablesInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTablesInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTablesInputs>() {
+        @java.lang.Override
+        public AutoMlTablesInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTablesInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTablesInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTablesInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputsOrBuilder.java
new file mode 100644
index 000000000..7997df6c8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesInputsOrBuilder.java
@@ -0,0 +1,388 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTablesInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required when optimization_objective is "maximize-precision-at-recall".
+   * Must be between 0 and 1, inclusive.
+   * </pre>
+   *
+   * <code>float optimization_objective_recall_value = 5;</code>
+   *
+   * @return The optimizationObjectiveRecallValue.
+   */
+  float getOptimizationObjectiveRecallValue();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required when optimization_objective is "maximize-recall-at-precision".
+   * Must be between 0 and 1, inclusive.
+   * </pre>
+   *
+   * <code>float optimization_objective_precision_value = 6;</code>
+   *
+   * @return The optimizationObjectivePrecisionValue.
+   */
+  float getOptimizationObjectivePrecisionValue();
+
+  /**
+   *
+   *
+   * <pre>
+   * The type of prediction the Model is to produce.
+   *   "classification" - Predict one out of multiple target values is
+   *                      picked for each row.
+   *   "regression" - Predict a value based on its relation to other values.
+   *                  This type is available only to columns that contain
+   *                  semantically numeric values, i.e. integers or floating
+   *                  point number, even if stored as e.g. strings.
+   * </pre>
+   *
+   * <code>string prediction_type = 1;</code>
+   *
+   * @return The predictionType.
+   */
+  java.lang.String getPredictionType();
+  /**
+   *
+   *
+   * <pre>
+   * The type of prediction the Model is to produce.
+   *   "classification" - Predict one out of multiple target values is
+   *                      picked for each row.
+   *   "regression" - Predict a value based on its relation to other values.
+   *                  This type is available only to columns that contain
+   *                  semantically numeric values, i.e. integers or floating
+   *                  point number, even if stored as e.g. strings.
+   * </pre>
+   *
+   * <code>string prediction_type = 1;</code>
+   *
+   * @return The bytes for predictionType.
+   */
+  com.google.protobuf.ByteString getPredictionTypeBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * The column name of the target column that the model is to predict.
+   * </pre>
+   *
+   * <code>string target_column = 2;</code>
+   *
+   * @return The targetColumn.
+   */
+  java.lang.String getTargetColumn();
+  /**
+   *
+   *
+   * <pre>
+   * The column name of the target column that the model is to predict.
+   * </pre>
+   *
+   * <code>string target_column = 2;</code>
+   *
+   * @return The bytes for targetColumn.
+   */
+  com.google.protobuf.ByteString getTargetColumnBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  java.util.List<
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+              .Transformation>
+      getTransformationsList();
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
+      getTransformations(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  int getTransformationsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+                  .TransformationOrBuilder>
+      getTransformationsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Each transformation will apply transform function to given input column.
+   * And the result will be used for training.
+   * When creating transformation for BigQuery Struct column, the column should
+   * be flattened using "." as the delimiter.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .TransformationOrBuilder
+      getTransformationsOrBuilder(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction type.
+   * If the field is not set, a default objective function is used.
+   * classification (binary):
+   *   "maximize-au-roc" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "minimize-log-loss" - Minimize log loss.
+   *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+   *   "maximize-precision-at-recall" - Maximize precision for a specified
+   *                                   recall value.
+   *   "maximize-recall-at-precision" - Maximize recall for a specified
+   *                                    precision value.
+   * classification (multi-class):
+   *   "minimize-log-loss" (default) - Minimize log loss.
+   * regression:
+   *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+   *   "minimize-mae" - Minimize mean-absolute error (MAE).
+   *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+   * </pre>
+   *
+   * <code>string optimization_objective = 4;</code>
+   *
+   * @return The optimizationObjective.
+   */
+  java.lang.String getOptimizationObjective();
+  /**
+   *
+   *
+   * <pre>
+   * Objective function the model is optimizing towards. The training process
+   * creates a model that maximizes/minimizes the value of the objective
+   * function over the validation set.
+   * The supported optimization objectives depend on the prediction type.
+   * If the field is not set, a default objective function is used.
+   * classification (binary):
+   *   "maximize-au-roc" (default) - Maximize the area under the receiver
+   *                                 operating characteristic (ROC) curve.
+   *   "minimize-log-loss" - Minimize log loss.
+   *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+   *   "maximize-precision-at-recall" - Maximize precision for a specified
+   *                                   recall value.
+   *   "maximize-recall-at-precision" - Maximize recall for a specified
+   *                                    precision value.
+   * classification (multi-class):
+   *   "minimize-log-loss" (default) - Minimize log loss.
+   * regression:
+   *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+   *   "minimize-mae" - Minimize mean-absolute error (MAE).
+   *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+   * </pre>
+   *
+   * <code>string optimization_objective = 4;</code>
+   *
+   * @return The bytes for optimizationObjective.
+   */
+  com.google.protobuf.ByteString getOptimizationObjectiveBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The train budget of creating this model, expressed in milli node
+   * hours i.e. 1,000 value in this field means 1 node hour.
+   * The training cost of the model will not exceed this budget. The final cost
+   * will be attempted to be close to the budget, though may end up being (even)
+   * noticeably smaller - at the backend's discretion. This especially may
+   * happen when further model training ceases to provide any improvements.
+   * If the budget is set to a value known to be insufficient to train a
+   * model for the given dataset, the training won't be attempted and
+   * will error.
+   * The train budget must be between 1,000 and 72,000 milli node hours,
+   * inclusive.
+   * </pre>
+   *
+   * <code>int64 train_budget_milli_node_hours = 7;</code>
+   *
+   * @return The trainBudgetMilliNodeHours.
+   */
+  long getTrainBudgetMilliNodeHours();
+
+  /**
+   *
+   *
+   * <pre>
+   * Use the entire training budget. This disables the early stopping feature.
+   * By default, the early stopping feature is enabled, which means that AutoML
+   * Tables might stop training before the entire training budget has been used.
+   * </pre>
+   *
+   * <code>bool disable_early_stopping = 8;</code>
+   *
+   * @return The disableEarlyStopping.
+   */
+  boolean getDisableEarlyStopping();
+
+  /**
+   *
+   *
+   * <pre>
+   * Column name that should be used as the weight column.
+   * Higher values in this column give more importance to the row
+   * during model training. The column must have numeric values between 0 and
+   * 10000 inclusively; 0 means the row is ignored for training. If weight
+   * column field is not set, then all rows are assumed to have equal weight
+   * of 1.
+   * </pre>
+   *
+   * <code>string weight_column_name = 9;</code>
+   *
+   * @return The weightColumnName.
+   */
+  java.lang.String getWeightColumnName();
+  /**
+   *
+   *
+   * <pre>
+   * Column name that should be used as the weight column.
+   * Higher values in this column give more importance to the row
+   * during model training. The column must have numeric values between 0 and
+   * 10000 inclusively; 0 means the row is ignored for training. If weight
+   * column field is not set, then all rows are assumed to have equal weight
+   * of 1.
+   * </pre>
+   *
+   * <code>string weight_column_name = 9;</code>
+   *
+   * @return The bytes for weightColumnName.
+   */
+  com.google.protobuf.ByteString getWeightColumnNameBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Configuration for exporting test set predictions to a BigQuery table. If
+   * this configuration is absent, then the export is not performed.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+   * </code>
+   *
+   * @return Whether the exportEvaluatedDataItemsConfig field is set.
+   */
+  boolean hasExportEvaluatedDataItemsConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Configuration for exporting test set predictions to a BigQuery table. If
+   * this configuration is absent, then the export is not performed.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+   * </code>
+   *
+   * @return The exportEvaluatedDataItemsConfig.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+      getExportEvaluatedDataItemsConfig();
+  /**
+   *
+   *
+   * <pre>
+   * Configuration for exporting test set predictions to a BigQuery table. If
+   * this configuration is absent, then the export is not performed.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfigOrBuilder
+      getExportEvaluatedDataItemsConfigOrBuilder();
+
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
+          .AdditionalOptimizationObjectiveConfigCase
+      getAdditionalOptimizationObjectiveConfigCase();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadata.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadata.java
new file mode 100644
index 000000000..ea075b70b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadata.java
@@ -0,0 +1,588 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * Model metadata specific to AutoML Tables.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata}
+ */
+public final class AutoMlTablesMetadata extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata)
+    AutoMlTablesMetadataOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTablesMetadata.newBuilder() to construct.
+  private AutoMlTablesMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTablesMetadata() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTablesMetadata();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTablesMetadata(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              trainCostMilliNodeHours_ = input.readInt64();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                .Builder.class);
+  }
+
+  public static final int TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER = 1;
+  private long trainCostMilliNodeHours_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The actual training cost of the model, expressed in milli
+   * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+   * to not exceed the train budget.
+   * </pre>
+   *
+   * <code>int64 train_cost_milli_node_hours = 1;</code>
+   *
+   * @return The trainCostMilliNodeHours.
+   */
+  @java.lang.Override
+  public long getTrainCostMilliNodeHours() {
+    return trainCostMilliNodeHours_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (trainCostMilliNodeHours_ != 0L) {
+      output.writeInt64(1, trainCostMilliNodeHours_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (trainCostMilliNodeHours_ != 0L) {
+      size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, trainCostMilliNodeHours_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata) obj;
+
+    if (getTrainCostMilliNodeHours() != other.getTrainCostMilliNodeHours()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getTrainCostMilliNodeHours());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Model metadata specific to AutoML Tables.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadataOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      trainCostMilliNodeHours_ = 0L;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTablesProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTablesMetadata_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata result =
+          new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata(
+              this);
+      result.trainCostMilliNodeHours_ = trainCostMilliNodeHours_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+              .getDefaultInstance()) return this;
+      if (other.getTrainCostMilliNodeHours() != 0L) {
+        setTrainCostMilliNodeHours(other.getTrainCostMilliNodeHours());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private long trainCostMilliNodeHours_;
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     * </pre>
+     *
+     * <code>int64 train_cost_milli_node_hours = 1;</code>
+     *
+     * @return The trainCostMilliNodeHours.
+     */
+    @java.lang.Override
+    public long getTrainCostMilliNodeHours() {
+      return trainCostMilliNodeHours_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     * </pre>
+     *
+     * <code>int64 train_cost_milli_node_hours = 1;</code>
+     *
+     * @param value The trainCostMilliNodeHours to set.
+     * @return This builder for chaining.
+     */
+    public Builder setTrainCostMilliNodeHours(long value) {
+
+      trainCostMilliNodeHours_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. The actual training cost of the model, expressed in milli
+     * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+     * to not exceed the train budget.
+     * </pre>
+     *
+     * <code>int64 train_cost_milli_node_hours = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearTrainCostMilliNodeHours() {
+
+      trainCostMilliNodeHours_ = 0L;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTablesMetadata
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTablesMetadata> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTablesMetadata>() {
+        @java.lang.Override
+        public AutoMlTablesMetadata parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTablesMetadata(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTablesMetadata> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTablesMetadata> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadataOrBuilder.java
new file mode 100644
index 000000000..dda28f50a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesMetadataOrBuilder.java
@@ -0,0 +1,40 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTablesMetadataOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. The actual training cost of the model, expressed in milli
+   * node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+   * to not exceed the train budget.
+   * </pre>
+   *
+   * <code>int64 train_cost_milli_node_hours = 1;</code>
+   *
+   * @return The trainCostMilliNodeHours.
+   */
+  long getTrainCostMilliNodeHours();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesOrBuilder.java
new file mode 100644
index 000000000..541ba0292
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTablesOrBuilder.java
@@ -0,0 +1,106 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTablesOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputsOrBuilder
+      getInputsOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+   * </code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  boolean hasMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+   * </code>
+   *
+   * @return The metadata.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata getMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata information.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata metadata = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadataOrBuilder
+      getMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassification.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassification.java
new file mode 100644
index 000000000..1963c4e5e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassification.java
@@ -0,0 +1,850 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Text Classification Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification}
+ */
+public final class AutoMlTextClassification extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification)
+    AutoMlTextClassificationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTextClassification.newBuilder() to construct.
+  private AutoMlTextClassification(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTextClassification() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTextClassification();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTextClassification(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTextClassificationInputs.Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlTextClassificationInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLTextClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLTextClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+                .class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+                .Builder.class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs.getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification) obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Text Classification Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLTextClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLTextClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLTextClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassification_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification result =
+          new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification(
+              this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputs.getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+                .Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextClassificationInputs.newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs.Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputs.getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextClassificationInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextClassificationInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextClassificationInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassification
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTextClassification> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTextClassification>() {
+        @java.lang.Override
+        public AutoMlTextClassification parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTextClassification(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTextClassification> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTextClassification> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputs.java
new file mode 100644
index 000000000..38239e730
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputs.java
@@ -0,0 +1,579 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs}
+ */
+public final class AutoMlTextClassificationInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs)
+    AutoMlTextClassificationInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTextClassificationInputs.newBuilder() to construct.
+  private AutoMlTextClassificationInputs(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTextClassificationInputs() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTextClassificationInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTextClassificationInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              multiLabel_ = input.readBool();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLTextClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_descriptor;
+  }
+
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+        .AutoMLTextClassificationProto
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+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextClassificationInputs.Builder.class);
+  }
+
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+   *
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+    memoizedIsInitialized = 1;
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+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (multiLabel_ != false) {
+      output.writeBool(1, multiLabel_);
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+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
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+
+    size = 0;
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+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextClassificationInputs)
+                obj;
+
+    if (getMultiLabel() != other.getMultiLabel()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MULTI_LABEL_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getMultiLabel());
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+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLTextClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLTextClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextClassificationInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextClassificationInputs.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      multiLabel_ = false;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLTextClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextClassificationInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextClassificationInputs(this);
+      result.multiLabel_ = multiLabel_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTextClassificationInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextClassificationInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlTextClassificationInputs.getDefaultInstance()) return this;
+      if (other.getMultiLabel() != false) {
+        setMultiLabel(other.getMultiLabel());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextClassificationInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private boolean multiLabel_;
+    /**
+     * <code>bool multi_label = 1;</code>
+     *
+     * @return The multiLabel.
+     */
+    @java.lang.Override
+    public boolean getMultiLabel() {
+      return multiLabel_;
+    }
+    /**
+     * <code>bool multi_label = 1;</code>
+     *
+     * @param value The multiLabel to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMultiLabel(boolean value) {
+
+      multiLabel_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>bool multi_label = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMultiLabel() {
+
+      multiLabel_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextClassificationInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTextClassificationInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTextClassificationInputs>() {
+        @java.lang.Override
+        public AutoMlTextClassificationInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTextClassificationInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTextClassificationInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTextClassificationInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputsOrBuilder.java
new file mode 100644
index 000000000..74ed45ca7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationInputsOrBuilder.java
@@ -0,0 +1,32 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTextClassificationInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   * <code>bool multi_label = 1;</code>
+   *
+   * @return The multiLabel.
+   */
+  boolean getMultiLabel();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationOrBuilder.java
new file mode 100644
index 000000000..6c6cdc499
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextClassificationOrBuilder.java
@@ -0,0 +1,69 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTextClassificationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextClassificationInputsOrBuilder
+      getInputsOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtraction.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtraction.java
new file mode 100644
index 000000000..51e7ab30f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtraction.java
@@ -0,0 +1,823 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Text Extraction Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction}
+ */
+public final class AutoMlTextExtraction extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction)
+    AutoMlTextExtractionOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTextExtraction.newBuilder() to construct.
+  private AutoMlTextExtraction(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTextExtraction() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTextExtraction();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTextExtraction(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlTextExtractionInputs.Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlTextExtractionInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+                .Builder.class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+            .getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction) obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Text Extraction Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtraction_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction result =
+          new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction(
+              this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+                .Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextExtractionInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextExtractionInputs.getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+                .Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextExtractionInputs.newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+            .Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextExtractionInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextExtractionInputs.getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+                .Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextExtractionInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextExtractionInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextExtractionInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextExtractionInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtraction
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTextExtraction> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTextExtraction>() {
+        @java.lang.Override
+        public AutoMlTextExtraction parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTextExtraction(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTextExtraction> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTextExtraction> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputs.java
new file mode 100644
index 000000000..8adfc9df5
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputs.java
@@ -0,0 +1,500 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs}
+ */
+public final class AutoMlTextExtractionInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs)
+    AutoMlTextExtractionInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTextExtractionInputs.newBuilder() to construct.
+  private AutoMlTextExtractionInputs(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTextExtractionInputs() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTextExtractionInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTextExtractionInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+                .class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+                .Builder.class);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs)
+            obj;
+
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextExtractionInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextExtractionInputs.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextExtractionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextExtractionInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextExtractionInputs(this);
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextExtractionInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+              .getDefaultInstance()) return this;
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextExtractionInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextExtractionInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextExtractionInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTextExtractionInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTextExtractionInputs>() {
+        @java.lang.Override
+        public AutoMlTextExtractionInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTextExtractionInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTextExtractionInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTextExtractionInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputsOrBuilder.java
new file mode 100644
index 000000000..804082607
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionInputsOrBuilder.java
@@ -0,0 +1,24 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTextExtractionInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs)
+    com.google.protobuf.MessageOrBuilder {}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionOrBuilder.java
new file mode 100644
index 000000000..1e1f129f6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextExtractionOrBuilder.java
@@ -0,0 +1,68 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTextExtractionOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputsOrBuilder
+      getInputsOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentiment.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentiment.java
new file mode 100644
index 000000000..f877ff6b6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentiment.java
@@ -0,0 +1,823 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Text Sentiment Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment}
+ */
+public final class AutoMlTextSentiment extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment)
+    AutoMlTextSentimentOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTextSentiment.newBuilder() to construct.
+  private AutoMlTextSentiment(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTextSentiment() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTextSentiment();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTextSentiment(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                      .Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlTextSentimentInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment.Builder
+                .class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+            .getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment) obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Text Sentiment Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentiment_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment result =
+          buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment result =
+          new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment(
+              this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                .Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextSentimentInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                .getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                .Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                  .newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+            .Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextSentimentInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                .getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                .Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlTextSentimentInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextSentimentInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextSentimentInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlTextSentimentInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentiment
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTextSentiment> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTextSentiment>() {
+        @java.lang.Override
+        public AutoMlTextSentiment parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTextSentiment(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTextSentiment> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTextSentiment> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputs.java
new file mode 100644
index 000000000..7d439dcc4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputs.java
@@ -0,0 +1,612 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs}
+ */
+public final class AutoMlTextSentimentInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)
+    AutoMlTextSentimentInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlTextSentimentInputs.newBuilder() to construct.
+  private AutoMlTextSentimentInputs(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlTextSentimentInputs() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlTextSentimentInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlTextSentimentInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              sentimentMax_ = input.readInt32();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                .class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                .Builder.class);
+  }
+
+  public static final int SENTIMENT_MAX_FIELD_NUMBER = 1;
+  private int sentimentMax_;
+  /**
+   *
+   *
+   * <pre>
+   * A sentiment is expressed as an integer ordinal, where higher value
+   * means a more positive sentiment. The range of sentiments that will be used
+   * is between 0 and sentimentMax (inclusive on both ends), and all the values
+   * in the range must be represented in the dataset before a model can be
+   * created.
+   * Only the Annotations with this sentimentMax will be used for training.
+   * sentimentMax value must be between 1 and 10 (inclusive).
+   * </pre>
+   *
+   * <code>int32 sentiment_max = 1;</code>
+   *
+   * @return The sentimentMax.
+   */
+  @java.lang.Override
+  public int getSentimentMax() {
+    return sentimentMax_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (sentimentMax_ != 0) {
+      output.writeInt32(1, sentimentMax_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (sentimentMax_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentimentMax_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)
+            obj;
+
+    if (getSentimentMax() != other.getSentimentMax()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + SENTIMENT_MAX_FIELD_NUMBER;
+    hash = (53 * hash) + getSentimentMax();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      sentimentMax_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMLTextSentimentProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlTextSentimentInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlTextSentimentInputs(this);
+      result.sentimentMax_ = sentimentMax_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+              .getDefaultInstance()) return this;
+      if (other.getSentimentMax() != 0) {
+        setSentimentMax(other.getSentimentMax());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int sentimentMax_;
+    /**
+     *
+     *
+     * <pre>
+     * A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentimentMax (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * Only the Annotations with this sentimentMax will be used for training.
+     * sentimentMax value must be between 1 and 10 (inclusive).
+     * </pre>
+     *
+     * <code>int32 sentiment_max = 1;</code>
+     *
+     * @return The sentimentMax.
+     */
+    @java.lang.Override
+    public int getSentimentMax() {
+      return sentimentMax_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentimentMax (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * Only the Annotations with this sentimentMax will be used for training.
+     * sentimentMax value must be between 1 and 10 (inclusive).
+     * </pre>
+     *
+     * <code>int32 sentiment_max = 1;</code>
+     *
+     * @param value The sentimentMax to set.
+     * @return This builder for chaining.
+     */
+    public Builder setSentimentMax(int value) {
+
+      sentimentMax_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A sentiment is expressed as an integer ordinal, where higher value
+     * means a more positive sentiment. The range of sentiments that will be used
+     * is between 0 and sentimentMax (inclusive on both ends), and all the values
+     * in the range must be represented in the dataset before a model can be
+     * created.
+     * Only the Annotations with this sentimentMax will be used for training.
+     * sentimentMax value must be between 1 and 10 (inclusive).
+     * </pre>
+     *
+     * <code>int32 sentiment_max = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearSentimentMax() {
+
+      sentimentMax_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlTextSentimentInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlTextSentimentInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlTextSentimentInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlTextSentimentInputs>() {
+        @java.lang.Override
+        public AutoMlTextSentimentInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlTextSentimentInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlTextSentimentInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlTextSentimentInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputsOrBuilder.java
new file mode 100644
index 000000000..0a9109fa4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentInputsOrBuilder.java
@@ -0,0 +1,44 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTextSentimentInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * A sentiment is expressed as an integer ordinal, where higher value
+   * means a more positive sentiment. The range of sentiments that will be used
+   * is between 0 and sentimentMax (inclusive on both ends), and all the values
+   * in the range must be represented in the dataset before a model can be
+   * created.
+   * Only the Annotations with this sentimentMax will be used for training.
+   * sentimentMax value must be between 1 and 10 (inclusive).
+   * </pre>
+   *
+   * <code>int32 sentiment_max = 1;</code>
+   *
+   * @return The sentimentMax.
+   */
+  int getSentimentMax();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentOrBuilder.java
new file mode 100644
index 000000000..5832ba881
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlTextSentimentOrBuilder.java
@@ -0,0 +1,68 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlTextSentimentOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputsOrBuilder
+      getInputsOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognition.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognition.java
new file mode 100644
index 000000000..9be2a544b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognition.java
@@ -0,0 +1,865 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Video Action Recognition
+ * Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition}
+ */
+public final class AutoMlVideoActionRecognition extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition)
+    AutoMlVideoActionRecognitionOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlVideoActionRecognition.newBuilder() to construct.
+  private AutoMlVideoActionRecognition(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlVideoActionRecognition() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlVideoActionRecognition();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlVideoActionRecognition(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlVideoActionRecognitionInputs.Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlVideoActionRecognitionInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoActionRecognitionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoActionRecognitionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognition.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognition.Builder.class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs.getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognition)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognition)
+                obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Video Action Recognition
+   * Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoActionRecognitionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoActionRecognitionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoActionRecognition.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoActionRecognition.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoActionRecognitionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognition_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoActionRecognition(this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognition) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognition)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognition.getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognition)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoActionRecognitionInputs.newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs.Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognitionInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognitionInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognitionInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognition();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognition
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlVideoActionRecognition> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlVideoActionRecognition>() {
+        @java.lang.Override
+        public AutoMlVideoActionRecognition parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlVideoActionRecognition(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlVideoActionRecognition> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlVideoActionRecognition> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputs.java
new file mode 100644
index 000000000..6e61c71c6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputs.java
@@ -0,0 +1,829 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs}
+ */
+public final class AutoMlVideoActionRecognitionInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs)
+    AutoMlVideoActionRecognitionInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlVideoActionRecognitionInputs.newBuilder() to construct.
+  private AutoMlVideoActionRecognitionInputs(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlVideoActionRecognitionInputs() {
+    modelType_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlVideoActionRecognitionInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlVideoActionRecognitionInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              int rawValue = input.readEnum();
+
+              modelType_ = rawValue;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoActionRecognitionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoActionRecognitionProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType}
+   */
+  public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MODEL_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which c annot
+     * be exported. Default.
+     * </pre>
+     *
+     * <code>CLOUD = 1;</code>
+     */
+    CLOUD(1),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) as a TensorFlow or
+     * TensorFlow Lite model and used on a mobile or edge device afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_VERSATILE_1 = 2;</code>
+     */
+    MOBILE_VERSATILE_1(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MODEL_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which c annot
+     * be exported. Default.
+     * </pre>
+     *
+     * <code>CLOUD = 1;</code>
+     */
+    public static final int CLOUD_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) as a TensorFlow or
+     * TensorFlow Lite model and used on a mobile or edge device afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_VERSATILE_1 = 2;</code>
+     */
+    public static final int MOBILE_VERSATILE_1_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ModelType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ModelType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MODEL_TYPE_UNSPECIFIED;
+        case 1:
+          return CLOUD;
+        case 2:
+          return MOBILE_VERSATILE_1;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ModelType> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ModelType> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<ModelType>() {
+          public ModelType findValueByNumber(int number) {
+            return ModelType.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final ModelType[] VALUES = values();
+
+    public static ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ModelType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType)
+  }
+
+  public static final int MODEL_TYPE_FIELD_NUMBER = 1;
+  private int modelType_;
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  @java.lang.Override
+  public int getModelTypeValue() {
+    return modelType_;
+  }
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs.ModelType
+      getModelType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs
+            .ModelType
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.ModelType.valueOf(modelType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs.ModelType.UNRECOGNIZED
+        : result;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(1, modelType_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, modelType_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognitionInputs)
+                obj;
+
+    if (modelType_ != other.modelType_) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + modelType_;
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognitionInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoActionRecognitionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoActionRecognitionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoActionRecognitionInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoActionRecognitionInputs.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      modelType_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoActionRecognitionProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoActionRecognitionInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognitionInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognitionInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoActionRecognitionInputs(this);
+      result.modelType_ = modelType_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognitionInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognitionInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognitionInputs.getDefaultInstance()) return this;
+      if (other.modelType_ != 0) {
+        setModelTypeValue(other.getModelTypeValue());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognitionInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoActionRecognitionInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int modelType_ = 0;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for modelType.
+     */
+    @java.lang.Override
+    public int getModelTypeValue() {
+      return modelType_;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelTypeValue(int value) {
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The modelType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs.ModelType
+        getModelType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognitionInputs.ModelType
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoActionRecognitionInputs.ModelType.valueOf(modelType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoActionRecognitionInputs.ModelType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelType(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoActionRecognitionInputs.ModelType
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModelType() {
+
+      modelType_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoActionRecognitionInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlVideoActionRecognitionInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlVideoActionRecognitionInputs>() {
+        @java.lang.Override
+        public AutoMlVideoActionRecognitionInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlVideoActionRecognitionInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlVideoActionRecognitionInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlVideoActionRecognitionInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputsOrBuilder.java
new file mode 100644
index 000000000..6b43318ca
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionInputsOrBuilder.java
@@ -0,0 +1,45 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlVideoActionRecognitionInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  int getModelTypeValue();
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs
+          .ModelType
+      getModelType();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionOrBuilder.java
new file mode 100644
index 000000000..e76f417a8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoActionRecognitionOrBuilder.java
@@ -0,0 +1,70 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlVideoActionRecognitionOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoActionRecognitionInputsOrBuilder
+      getInputsOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassification.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassification.java
new file mode 100644
index 000000000..60f6361cd
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassification.java
@@ -0,0 +1,855 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Video Classification Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification}
+ */
+public final class AutoMlVideoClassification extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)
+    AutoMlVideoClassificationOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlVideoClassification.newBuilder() to construct.
+  private AutoMlVideoClassification(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlVideoClassification() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlVideoClassification();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlVideoClassification(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlVideoClassificationInputs.Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlVideoClassificationInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+                .class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+                .Builder.class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs.getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)
+            obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Video Classification Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassification_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoClassification(this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs.getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+                .Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoClassificationInputs.newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs.Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs.getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoClassificationInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoClassificationInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoClassificationInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassification();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassification
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlVideoClassification> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlVideoClassification>() {
+        @java.lang.Override
+        public AutoMlVideoClassification parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlVideoClassification(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlVideoClassification> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlVideoClassification> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java
new file mode 100644
index 000000000..6871abc7e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java
@@ -0,0 +1,850 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs}
+ */
+public final class AutoMlVideoClassificationInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs)
+    AutoMlVideoClassificationInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlVideoClassificationInputs.newBuilder() to construct.
+  private AutoMlVideoClassificationInputs(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlVideoClassificationInputs() {
+    modelType_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlVideoClassificationInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlVideoClassificationInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              int rawValue = input.readEnum();
+
+              modelType_ = rawValue;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoClassificationProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType}
+   */
+  public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MODEL_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which cannot
+     * be exported. Default.
+     * </pre>
+     *
+     * <code>CLOUD = 1;</code>
+     */
+    CLOUD(1),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) as a TensorFlow or
+     * TensorFlow Lite model and used on a mobile or edge device afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_VERSATILE_1 = 2;</code>
+     */
+    MOBILE_VERSATILE_1(2),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) to a Jetson device
+     * afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_JETSON_VERSATILE_1 = 3;</code>
+     */
+    MOBILE_JETSON_VERSATILE_1(3),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MODEL_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which cannot
+     * be exported. Default.
+     * </pre>
+     *
+     * <code>CLOUD = 1;</code>
+     */
+    public static final int CLOUD_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) as a TensorFlow or
+     * TensorFlow Lite model and used on a mobile or edge device afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_VERSATILE_1 = 2;</code>
+     */
+    public static final int MOBILE_VERSATILE_1_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) to a Jetson device
+     * afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_JETSON_VERSATILE_1 = 3;</code>
+     */
+    public static final int MOBILE_JETSON_VERSATILE_1_VALUE = 3;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ModelType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ModelType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MODEL_TYPE_UNSPECIFIED;
+        case 1:
+          return CLOUD;
+        case 2:
+          return MOBILE_VERSATILE_1;
+        case 3:
+          return MOBILE_JETSON_VERSATILE_1;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ModelType> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ModelType> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<ModelType>() {
+          public ModelType findValueByNumber(int number) {
+            return ModelType.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final ModelType[] VALUES = values();
+
+    public static ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ModelType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType)
+  }
+
+  public static final int MODEL_TYPE_FIELD_NUMBER = 1;
+  private int modelType_;
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  @java.lang.Override
+  public int getModelTypeValue() {
+    return modelType_;
+  }
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs.ModelType
+      getModelType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+            .ModelType
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoClassificationInputs.ModelType.valueOf(modelType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs.ModelType.UNRECOGNIZED
+        : result;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(1, modelType_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, modelType_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoClassificationInputs)
+                obj;
+
+    if (modelType_ != other.modelType_) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + modelType_;
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoClassificationInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoClassificationInputs.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      modelType_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoClassificationProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoClassificationInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoClassificationInputs(this);
+      result.modelType_ = modelType_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoClassificationInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoClassificationInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoClassificationInputs.getDefaultInstance()) return this;
+      if (other.modelType_ != 0) {
+        setModelTypeValue(other.getModelTypeValue());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoClassificationInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int modelType_ = 0;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for modelType.
+     */
+    @java.lang.Override
+    public int getModelTypeValue() {
+      return modelType_;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelTypeValue(int value) {
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The modelType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs.ModelType
+        getModelType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+              .ModelType
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoClassificationInputs.ModelType.valueOf(modelType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoClassificationInputs.ModelType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelType(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+                .ModelType
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModelType() {
+
+      modelType_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoClassificationInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlVideoClassificationInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlVideoClassificationInputs>() {
+        @java.lang.Override
+        public AutoMlVideoClassificationInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlVideoClassificationInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlVideoClassificationInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlVideoClassificationInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputsOrBuilder.java
new file mode 100644
index 000000000..632ada18b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationInputsOrBuilder.java
@@ -0,0 +1,45 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlVideoClassificationInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  int getModelTypeValue();
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+          .ModelType
+      getModelType();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationOrBuilder.java
new file mode 100644
index 000000000..7d942e9b8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoClassificationOrBuilder.java
@@ -0,0 +1,70 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlVideoClassificationOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoClassificationInputsOrBuilder
+      getInputsOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTracking.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTracking.java
new file mode 100644
index 000000000..e2b1e010f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTracking.java
@@ -0,0 +1,855 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking}
+ */
+public final class AutoMlVideoObjectTracking extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)
+    AutoMlVideoObjectTrackingOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlVideoObjectTracking.newBuilder() to construct.
+  private AutoMlVideoObjectTracking(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlVideoObjectTracking() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlVideoObjectTracking();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlVideoObjectTracking(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                      .AutoMlVideoObjectTrackingInputs.Builder
+                  subBuilder = null;
+              if (inputs_ != null) {
+                subBuilder = inputs_.toBuilder();
+              }
+              inputs_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                          .AutoMlVideoObjectTrackingInputs.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(inputs_);
+                inputs_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoObjectTrackingProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoObjectTrackingProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+                .class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+                .Builder.class);
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      inputs_;
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  @java.lang.Override
+  public boolean hasInputs() {
+    return inputs_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      getInputs() {
+    return inputs_ == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs.getDefaultInstance()
+        : inputs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputsOrBuilder
+      getInputsOrBuilder() {
+    return getInputs();
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (inputs_ != null) {
+      output.writeMessage(1, getInputs());
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (inputs_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInputs());
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking other =
+        (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)
+            obj;
+
+    if (hasInputs() != other.hasInputs()) return false;
+    if (hasInputs()) {
+      if (!getInputs().equals(other.getInputs())) return false;
+    }
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (hasInputs()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + getInputs().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoObjectTrackingProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoObjectTrackingProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+                  .class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+                  .Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoObjectTrackingProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTracking_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+          .getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoObjectTracking(this);
+      if (inputsBuilder_ == null) {
+        result.inputs_ = inputs_;
+      } else {
+        result.inputs_ = inputsBuilder_.build();
+      }
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+              .getDefaultInstance()) return this;
+      if (other.hasInputs()) {
+        mergeInputs(other.getInputs());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs
+        inputs_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputsOrBuilder>
+        inputsBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     *
+     * @return Whether the inputs field is set.
+     */
+    public boolean hasInputs() {
+      return inputsBuilder_ != null || inputs_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     *
+     * @return The inputs.
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs
+        getInputs() {
+      if (inputsBuilder_ == null) {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs.getDefaultInstance()
+            : inputs_;
+      } else {
+        return inputsBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        inputs_ = value;
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     */
+    public Builder setInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+                .Builder
+            builderForValue) {
+      if (inputsBuilder_ == null) {
+        inputs_ = builderForValue.build();
+        onChanged();
+      } else {
+        inputsBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     */
+    public Builder mergeInputs(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+            value) {
+      if (inputsBuilder_ == null) {
+        if (inputs_ != null) {
+          inputs_ =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoObjectTrackingInputs.newBuilder(inputs_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          inputs_ = value;
+        }
+        onChanged();
+      } else {
+        inputsBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     */
+    public Builder clearInputs() {
+      if (inputsBuilder_ == null) {
+        inputs_ = null;
+        onChanged();
+      } else {
+        inputs_ = null;
+        inputsBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs.Builder
+        getInputsBuilder() {
+
+      onChanged();
+      return getInputsFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputsOrBuilder
+        getInputsOrBuilder() {
+      if (inputsBuilder_ != null) {
+        return inputsBuilder_.getMessageOrBuilder();
+      } else {
+        return inputs_ == null
+            ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs.getDefaultInstance()
+            : inputs_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The input parameters of this TrainingJob.
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs.Builder,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputsOrBuilder>
+        getInputsFieldBuilder() {
+      if (inputsBuilder_ == null) {
+        inputsBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoObjectTrackingInputs,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoObjectTrackingInputs.Builder,
+                com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoObjectTrackingInputsOrBuilder>(
+                getInputs(), getParentForChildren(), isClean());
+        inputs_ = null;
+      }
+      return inputsBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTracking();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTracking
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlVideoObjectTracking> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlVideoObjectTracking>() {
+        @java.lang.Override
+        public AutoMlVideoObjectTracking parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlVideoObjectTracking(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlVideoObjectTracking> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlVideoObjectTracking> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputs.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputs.java
new file mode 100644
index 000000000..7a7f80232
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputs.java
@@ -0,0 +1,920 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs}
+ */
+public final class AutoMlVideoObjectTrackingInputs extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs)
+    AutoMlVideoObjectTrackingInputsOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use AutoMlVideoObjectTrackingInputs.newBuilder() to construct.
+  private AutoMlVideoObjectTrackingInputs(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private AutoMlVideoObjectTrackingInputs() {
+    modelType_ = 0;
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new AutoMlVideoObjectTrackingInputs();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private AutoMlVideoObjectTrackingInputs(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 8:
+            {
+              int rawValue = input.readEnum();
+
+              modelType_ = rawValue;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoObjectTrackingProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .AutoMLVideoObjectTrackingProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs.Builder.class);
+  }
+
+  /**
+   * Protobuf enum {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType}
+   */
+  public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MODEL_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which c annot
+     * be exported. Default.
+     * </pre>
+     *
+     * <code>CLOUD = 1;</code>
+     */
+    CLOUD(1),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) as a TensorFlow or
+     * TensorFlow Lite model and used on a mobile or edge device afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_VERSATILE_1 = 2;</code>
+     */
+    MOBILE_VERSATILE_1(2),
+    /**
+     *
+     *
+     * <pre>
+     * A versatile model that is meant to be exported (see
+     * ModelService.ExportModel) and used on a Google Coral device.
+     * </pre>
+     *
+     * <code>MOBILE_CORAL_VERSATILE_1 = 3;</code>
+     */
+    MOBILE_CORAL_VERSATILE_1(3),
+    /**
+     *
+     *
+     * <pre>
+     * A model that trades off quality for low latency, to be exported (see
+     * ModelService.ExportModel) and used on a Google Coral device.
+     * </pre>
+     *
+     * <code>MOBILE_CORAL_LOW_LATENCY_1 = 4;</code>
+     */
+    MOBILE_CORAL_LOW_LATENCY_1(4),
+    /**
+     *
+     *
+     * <pre>
+     * A versatile model that is meant to be exported (see
+     * ModelService.ExportModel) and used on an NVIDIA Jetson device.
+     * </pre>
+     *
+     * <code>MOBILE_JETSON_VERSATILE_1 = 5;</code>
+     */
+    MOBILE_JETSON_VERSATILE_1(5),
+    /**
+     *
+     *
+     * <pre>
+     * A model that trades off quality for low latency, to be exported (see
+     * ModelService.ExportModel) and used on an NVIDIA Jetson device.
+     * </pre>
+     *
+     * <code>MOBILE_JETSON_LOW_LATENCY_1 = 6;</code>
+     */
+    MOBILE_JETSON_LOW_LATENCY_1(6),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Should not be set.
+     * </pre>
+     *
+     * <code>MODEL_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MODEL_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * A model best tailored to be used within Google Cloud, and which c annot
+     * be exported. Default.
+     * </pre>
+     *
+     * <code>CLOUD = 1;</code>
+     */
+    public static final int CLOUD_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) as a TensorFlow or
+     * TensorFlow Lite model and used on a mobile or edge device afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_VERSATILE_1 = 2;</code>
+     */
+    public static final int MOBILE_VERSATILE_1_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * A versatile model that is meant to be exported (see
+     * ModelService.ExportModel) and used on a Google Coral device.
+     * </pre>
+     *
+     * <code>MOBILE_CORAL_VERSATILE_1 = 3;</code>
+     */
+    public static final int MOBILE_CORAL_VERSATILE_1_VALUE = 3;
+    /**
+     *
+     *
+     * <pre>
+     * A model that trades off quality for low latency, to be exported (see
+     * ModelService.ExportModel) and used on a Google Coral device.
+     * </pre>
+     *
+     * <code>MOBILE_CORAL_LOW_LATENCY_1 = 4;</code>
+     */
+    public static final int MOBILE_CORAL_LOW_LATENCY_1_VALUE = 4;
+    /**
+     *
+     *
+     * <pre>
+     * A versatile model that is meant to be exported (see
+     * ModelService.ExportModel) and used on an NVIDIA Jetson device.
+     * </pre>
+     *
+     * <code>MOBILE_JETSON_VERSATILE_1 = 5;</code>
+     */
+    public static final int MOBILE_JETSON_VERSATILE_1_VALUE = 5;
+    /**
+     *
+     *
+     * <pre>
+     * A model that trades off quality for low latency, to be exported (see
+     * ModelService.ExportModel) and used on an NVIDIA Jetson device.
+     * </pre>
+     *
+     * <code>MOBILE_JETSON_LOW_LATENCY_1 = 6;</code>
+     */
+    public static final int MOBILE_JETSON_LOW_LATENCY_1_VALUE = 6;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ModelType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ModelType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MODEL_TYPE_UNSPECIFIED;
+        case 1:
+          return CLOUD;
+        case 2:
+          return MOBILE_VERSATILE_1;
+        case 3:
+          return MOBILE_CORAL_VERSATILE_1;
+        case 4:
+          return MOBILE_CORAL_LOW_LATENCY_1;
+        case 5:
+          return MOBILE_JETSON_VERSATILE_1;
+        case 6:
+          return MOBILE_JETSON_LOW_LATENCY_1;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ModelType> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ModelType> internalValueMap =
+        new com.google.protobuf.Internal.EnumLiteMap<ModelType>() {
+          public ModelType findValueByNumber(int number) {
+            return ModelType.forNumber(number);
+          }
+        };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs.getDescriptor()
+          .getEnumTypes()
+          .get(0);
+    }
+
+    private static final ModelType[] VALUES = values();
+
+    public static ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ModelType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType)
+  }
+
+  public static final int MODEL_TYPE_FIELD_NUMBER = 1;
+  private int modelType_;
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  @java.lang.Override
+  public int getModelTypeValue() {
+    return modelType_;
+  }
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs.ModelType
+      getModelType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+            .ModelType
+        result =
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .AutoMlVideoObjectTrackingInputs.ModelType.valueOf(modelType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs.ModelType.UNRECOGNIZED
+        : result;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(1, modelType_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (modelType_
+        != com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs.ModelType.MODEL_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, modelType_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoObjectTrackingInputs)
+                obj;
+
+    if (modelType_ != other.modelType_) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + MODEL_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + modelType_;
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputsOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoObjectTrackingProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoObjectTrackingProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoObjectTrackingInputs.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoObjectTrackingInputs.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      modelType_ = 0;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMLVideoObjectTrackingProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_AutoMlVideoObjectTrackingInputs_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoObjectTrackingInputs(this);
+      result.modelType_ = modelType_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoObjectTrackingInputs) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoObjectTrackingInputs)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoObjectTrackingInputs.getDefaultInstance()) return this;
+      if (other.modelType_ != 0) {
+        setModelTypeValue(other.getModelTypeValue());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .AutoMlVideoObjectTrackingInputs)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int modelType_ = 0;
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for modelType.
+     */
+    @java.lang.Override
+    public int getModelTypeValue() {
+      return modelType_;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelTypeValue(int value) {
+
+      modelType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return The modelType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs.ModelType
+        getModelType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+              .ModelType
+          result =
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .AutoMlVideoObjectTrackingInputs.ModelType.valueOf(modelType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .AutoMlVideoObjectTrackingInputs.ModelType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @param value The modelType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setModelType(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+                .ModelType
+            value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      modelType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     * <code>
+     * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearModelType() {
+
+      modelType_ = 0;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .AutoMlVideoObjectTrackingInputs();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<AutoMlVideoObjectTrackingInputs> PARSER =
+      new com.google.protobuf.AbstractParser<AutoMlVideoObjectTrackingInputs>() {
+        @java.lang.Override
+        public AutoMlVideoObjectTrackingInputs parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new AutoMlVideoObjectTrackingInputs(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<AutoMlVideoObjectTrackingInputs> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<AutoMlVideoObjectTrackingInputs> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputs
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputsOrBuilder.java
new file mode 100644
index 000000000..bc4d7e28c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingInputsOrBuilder.java
@@ -0,0 +1,45 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlVideoObjectTrackingInputsOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for modelType.
+   */
+  int getModelTypeValue();
+  /**
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType model_type = 1;
+   * </code>
+   *
+   * @return The modelType.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+          .ModelType
+      getModelType();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingOrBuilder.java
new file mode 100644
index 000000000..659824dec
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/AutoMlVideoObjectTrackingOrBuilder.java
@@ -0,0 +1,70 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface AutoMlVideoObjectTrackingOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+   * </code>
+   *
+   * @return Whether the inputs field is set.
+   */
+  boolean hasInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+   * </code>
+   *
+   * @return The inputs.
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * The input parameters of this TrainingJob.
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs inputs = 1;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .AutoMlVideoObjectTrackingInputsOrBuilder
+      getInputsOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java
new file mode 100644
index 000000000..93478f822
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java
@@ -0,0 +1,832 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+/**
+ *
+ *
+ * <pre>
+ * Configuration for exporting test set predictions to a BigQuery table.
+ * </pre>
+ *
+ * Protobuf type {@code
+ * google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig}
+ */
+public final class ExportEvaluatedDataItemsConfig extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig)
+    ExportEvaluatedDataItemsConfigOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExportEvaluatedDataItemsConfig.newBuilder() to construct.
+  private ExportEvaluatedDataItemsConfig(
+      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExportEvaluatedDataItemsConfig() {
+    destinationBigqueryUri_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExportEvaluatedDataItemsConfig();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExportEvaluatedDataItemsConfig(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              destinationBigqueryUri_ = s;
+              break;
+            }
+          case 16:
+            {
+              overrideExistingTable_ = input.readBool();
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .ExportEvaluatedDataItemsConfigProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+        .ExportEvaluatedDataItemsConfigProto
+        .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfig.class,
+            com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                .ExportEvaluatedDataItemsConfig.Builder.class);
+  }
+
+  public static final int DESTINATION_BIGQUERY_URI_FIELD_NUMBER = 1;
+  private volatile java.lang.Object destinationBigqueryUri_;
+  /**
+   *
+   *
+   * <pre>
+   * URI of desired destination BigQuery table. Expected format:
+   * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+   * If not specified, then results are exported to the following auto-created
+   * BigQuery table:
+   * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+   * </pre>
+   *
+   * <code>string destination_bigquery_uri = 1;</code>
+   *
+   * @return The destinationBigqueryUri.
+   */
+  @java.lang.Override
+  public java.lang.String getDestinationBigqueryUri() {
+    java.lang.Object ref = destinationBigqueryUri_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      destinationBigqueryUri_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * URI of desired destination BigQuery table. Expected format:
+   * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+   * If not specified, then results are exported to the following auto-created
+   * BigQuery table:
+   * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+   * </pre>
+   *
+   * <code>string destination_bigquery_uri = 1;</code>
+   *
+   * @return The bytes for destinationBigqueryUri.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getDestinationBigqueryUriBytes() {
+    java.lang.Object ref = destinationBigqueryUri_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      destinationBigqueryUri_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  public static final int OVERRIDE_EXISTING_TABLE_FIELD_NUMBER = 2;
+  private boolean overrideExistingTable_;
+  /**
+   *
+   *
+   * <pre>
+   * If true and an export destination is specified, then the contents of the
+   * destination are overwritten. Otherwise, if the export destination already
+   * exists, then the export operation fails.
+   * </pre>
+   *
+   * <code>bool override_existing_table = 2;</code>
+   *
+   * @return The overrideExistingTable.
+   */
+  @java.lang.Override
+  public boolean getOverrideExistingTable() {
+    return overrideExistingTable_;
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getDestinationBigqueryUriBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, destinationBigqueryUri_);
+    }
+    if (overrideExistingTable_ != false) {
+      output.writeBool(2, overrideExistingTable_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getDestinationBigqueryUriBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, destinationBigqueryUri_);
+    }
+    if (overrideExistingTable_ != false) {
+      size += com.google.protobuf.CodedOutputStream.computeBoolSize(2, overrideExistingTable_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj
+        instanceof
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+        other =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .ExportEvaluatedDataItemsConfig)
+                obj;
+
+    if (!getDestinationBigqueryUri().equals(other.getDestinationBigqueryUri())) return false;
+    if (getOverrideExistingTable() != other.getOverrideExistingTable()) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + DESTINATION_BIGQUERY_URI_FIELD_NUMBER;
+    hash = (53 * hash) + getDestinationBigqueryUri().hashCode();
+    hash = (37 * hash) + OVERRIDE_EXISTING_TABLE_FIELD_NUMBER;
+    hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getOverrideExistingTable());
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(java.nio.ByteBuffer data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(
+          java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(com.google.protobuf.ByteString data)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(
+          com.google.protobuf.ByteString data,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseDelimitedFrom(
+          java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      parseFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+          prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Configuration for exporting test set predictions to a BigQuery table.
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig)
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfigOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfigProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfigProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .ExportEvaluatedDataItemsConfig.class,
+              com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .ExportEvaluatedDataItemsConfig.Builder.class);
+    }
+
+    // Construct using
+    // com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      destinationBigqueryUri_ = "";
+
+      overrideExistingTable_ = false;
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfigProto
+          .internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig
+        build() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+          result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig
+        buildPartial() {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+          result =
+              new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                  .ExportEvaluatedDataItemsConfig(this);
+      result.destinationBigqueryUri_ = destinationBigqueryUri_;
+      result.overrideExistingTable_ = overrideExistingTable_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other
+          instanceof
+          com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .ExportEvaluatedDataItemsConfig) {
+        return mergeFrom(
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .ExportEvaluatedDataItemsConfig)
+                other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+            other) {
+      if (other
+          == com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+              .ExportEvaluatedDataItemsConfig.getDefaultInstance()) return this;
+      if (!other.getDestinationBigqueryUri().isEmpty()) {
+        destinationBigqueryUri_ = other.destinationBigqueryUri_;
+        onChanged();
+      }
+      if (other.getOverrideExistingTable() != false) {
+        setOverrideExistingTable(other.getOverrideExistingTable());
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+          parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+                    .ExportEvaluatedDataItemsConfig)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object destinationBigqueryUri_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
+     * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+     * </pre>
+     *
+     * <code>string destination_bigquery_uri = 1;</code>
+     *
+     * @return The destinationBigqueryUri.
+     */
+    public java.lang.String getDestinationBigqueryUri() {
+      java.lang.Object ref = destinationBigqueryUri_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        destinationBigqueryUri_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
+     * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+     * </pre>
+     *
+     * <code>string destination_bigquery_uri = 1;</code>
+     *
+     * @return The bytes for destinationBigqueryUri.
+     */
+    public com.google.protobuf.ByteString getDestinationBigqueryUriBytes() {
+      java.lang.Object ref = destinationBigqueryUri_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        destinationBigqueryUri_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
+     * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+     * </pre>
+     *
+     * <code>string destination_bigquery_uri = 1;</code>
+     *
+     * @param value The destinationBigqueryUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDestinationBigqueryUri(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      destinationBigqueryUri_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
+     * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+     * </pre>
+     *
+     * <code>string destination_bigquery_uri = 1;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearDestinationBigqueryUri() {
+
+      destinationBigqueryUri_ = getDefaultInstance().getDestinationBigqueryUri();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
+     * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+     * </pre>
+     *
+     * <code>string destination_bigquery_uri = 1;</code>
+     *
+     * @param value The bytes for destinationBigqueryUri to set.
+     * @return This builder for chaining.
+     */
+    public Builder setDestinationBigqueryUriBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      destinationBigqueryUri_ = value;
+      onChanged();
+      return this;
+    }
+
+    private boolean overrideExistingTable_;
+    /**
+     *
+     *
+     * <pre>
+     * If true and an export destination is specified, then the contents of the
+     * destination are overwritten. Otherwise, if the export destination already
+     * exists, then the export operation fails.
+     * </pre>
+     *
+     * <code>bool override_existing_table = 2;</code>
+     *
+     * @return The overrideExistingTable.
+     */
+    @java.lang.Override
+    public boolean getOverrideExistingTable() {
+      return overrideExistingTable_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If true and an export destination is specified, then the contents of the
+     * destination are overwritten. Otherwise, if the export destination already
+     * exists, then the export operation fails.
+     * </pre>
+     *
+     * <code>bool override_existing_table = 2;</code>
+     *
+     * @param value The overrideExistingTable to set.
+     * @return This builder for chaining.
+     */
+    public Builder setOverrideExistingTable(boolean value) {
+
+      overrideExistingTable_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If true and an export destination is specified, then the contents of the
+     * destination are overwritten. Otherwise, if the export destination already
+     * exists, then the export operation fails.
+     * </pre>
+     *
+     * <code>bool override_existing_table = 2;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearOverrideExistingTable() {
+
+      overrideExistingTable_ = false;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig)
+  private static final com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE =
+        new com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+            .ExportEvaluatedDataItemsConfig();
+  }
+
+  public static com.google.cloud.aiplatform.v1.schema.trainingjob.definition
+          .ExportEvaluatedDataItemsConfig
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExportEvaluatedDataItemsConfig> PARSER =
+      new com.google.protobuf.AbstractParser<ExportEvaluatedDataItemsConfig>() {
+        @java.lang.Override
+        public ExportEvaluatedDataItemsConfig parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExportEvaluatedDataItemsConfig(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExportEvaluatedDataItemsConfig> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExportEvaluatedDataItemsConfig> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java
new file mode 100644
index 000000000..2fa6ea4ca
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public interface ExportEvaluatedDataItemsConfigOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * URI of desired destination BigQuery table. Expected format:
+   * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+   * If not specified, then results are exported to the following auto-created
+   * BigQuery table:
+   * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+   * </pre>
+   *
+   * <code>string destination_bigquery_uri = 1;</code>
+   *
+   * @return The destinationBigqueryUri.
+   */
+  java.lang.String getDestinationBigqueryUri();
+  /**
+   *
+   *
+   * <pre>
+   * URI of desired destination BigQuery table. Expected format:
+   * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+   * If not specified, then results are exported to the following auto-created
+   * BigQuery table:
+   * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
+   * </pre>
+   *
+   * <code>string destination_bigquery_uri = 1;</code>
+   *
+   * @return The bytes for destinationBigqueryUri.
+   */
+  com.google.protobuf.ByteString getDestinationBigqueryUriBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * If true and an export destination is specified, then the contents of the
+   * destination are overwritten. Otherwise, if the export destination already
+   * exists, then the export operation fails.
+   * </pre>
+   *
+   * <code>bool override_existing_table = 2;</code>
+   *
+   * @return The overrideExistingTable.
+   */
+  boolean getOverrideExistingTable();
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigProto.java b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigProto.java
new file mode 100644
index 000000000..733dbc8b0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigProto.java
@@ -0,0 +1,76 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source:
+// google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
+
+package com.google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+public final class ExportEvaluatedDataItemsConfigProto {
+  private ExportEvaluatedDataItemsConfigProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\nagoogle/cloud/aiplatform/v1/schema/trai"
+          + "ningjob/definition/export_evaluated_data"
+          + "_items_config.proto\0228google.cloud.aiplat"
+          + "form.v1.schema.trainingjob.definition\032\034g"
+          + "oogle/api/annotations.proto\"c\n\036ExportEva"
+          + "luatedDataItemsConfig\022 \n\030destination_big"
+          + "query_uri\030\001 \001(\t\022\037\n\027override_existing_tab"
+          + "le\030\002 \001(\010B\311\001\n<com.google.cloud.aiplatform"
+          + ".v1.schema.trainingjob.definitionB#Expor"
+          + "tEvaluatedDataItemsConfigProtoP\001Zbgoogle"
+          + ".golang.org/genproto/googleapis/cloud/ai"
+          + "platform/v1/schema/trainingjob/definitio"
+          + "n;definitionb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1_schema_trainingjob_definition_ExportEvaluatedDataItemsConfig_descriptor,
+            new java.lang.String[] {
+              "DestinationBigqueryUri", "OverrideExistingTable",
+            });
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/accelerator_type.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/accelerator_type.proto
new file mode 100644
index 000000000..096d7187a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/accelerator_type.proto
@@ -0,0 +1,51 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "AcceleratorTypeProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Represents a hardware accelerator type.
+enum AcceleratorType {
+  // Unspecified accelerator type, which means no accelerator.
+  ACCELERATOR_TYPE_UNSPECIFIED = 0;
+
+  // Nvidia Tesla K80 GPU.
+  NVIDIA_TESLA_K80 = 1;
+
+  // Nvidia Tesla P100 GPU.
+  NVIDIA_TESLA_P100 = 2;
+
+  // Nvidia Tesla V100 GPU.
+  NVIDIA_TESLA_V100 = 3;
+
+  // Nvidia Tesla P4 GPU.
+  NVIDIA_TESLA_P4 = 4;
+
+  // Nvidia Tesla T4 GPU.
+  NVIDIA_TESLA_T4 = 5;
+
+  // TPU v2.
+  TPU_V2 = 6;
+
+  // TPU v3.
+  TPU_V3 = 7;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto
new file mode 100644
index 000000000..14e6c6b83
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation.proto
@@ -0,0 +1,88 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/user_action_reference.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "AnnotationProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Used to assign specific AnnotationSpec to a particular area of a DataItem or
+// the whole part of the DataItem.
+message Annotation {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Annotation"
+    pattern: "projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}/annotations/{annotation}"
+  };
+
+  // Output only. Resource name of the Annotation.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1.Annotation.payload]. The
+  // schema is defined as an
+  // [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+  // The schema files that can be used here are found in
+  // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+  // chosen schema must be consistent with the parent Dataset's
+  // [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri].
+  string payload_schema_uri = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The schema of the payload can be found in
+  // [payload_schema][google.cloud.aiplatform.v1.Annotation.payload_schema_uri].
+  google.protobuf.Value payload = 3 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. Timestamp when this Annotation was created.
+  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this Annotation was last updated.
+  google.protobuf.Timestamp update_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+  // "overwrite" update happens.
+  string etag = 8 [(google.api.field_behavior) = OPTIONAL];
+
+  // Output only. The source of the Annotation.
+  UserActionReference annotation_source = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Optional. The labels with user-defined metadata to organize your Annotations.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  // No more than 64 user labels can be associated with one Annotation(System
+  // labels are excluded).
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  // System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+  // and are immutable. Following system labels exist for each Annotation:
+  //
+  // * "aiplatform.googleapis.com/annotation_set_name":
+  //   optional, name of the UI's annotation set this Annotation belongs to.
+  //   If not set, the Annotation is not visible in the UI.
+  //
+  // * "aiplatform.googleapis.com/payload_schema":
+  //   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1.Annotation.payload_schema_uri]
+  //   title.
+  map<string, string> labels = 6 [(google.api.field_behavior) = OPTIONAL];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto
new file mode 100644
index 000000000..d087278a1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/annotation_spec.proto
@@ -0,0 +1,53 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "AnnotationSpecProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Identifies a concept with which DataItems may be annotated with.
+message AnnotationSpec {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/AnnotationSpec"
+    pattern: "projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}"
+  };
+
+  // Output only. Resource name of the AnnotationSpec.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The user-defined name of the AnnotationSpec.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. Timestamp when this AnnotationSpec was created.
+  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when AnnotationSpec was last updated.
+  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+  // "overwrite" update happens.
+  string etag = 5 [(google.api.field_behavior) = OPTIONAL];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto
new file mode 100644
index 000000000..dab242c3d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/batch_prediction_job.proto
@@ -0,0 +1,249 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/completion_stats.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/io.proto";
+import "google/cloud/aiplatform/v1/job_state.proto";
+import "google/cloud/aiplatform/v1/machine_resources.proto";
+import "google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/rpc/status.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "BatchPredictionJobProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
+// on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+// predictions for significant portion of the instances fail, the job may finish
+// without attempting predictions for all remaining instances.
+message BatchPredictionJob {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/BatchPredictionJob"
+    pattern: "projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}"
+  };
+
+  // Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input
+  // formats, and how instances should be expressed via any of them.
+  message InputConfig {
+    // Required. The source of the input.
+    oneof source {
+      // The Cloud Storage location for the input instances.
+      GcsSource gcs_source = 2;
+
+      // The BigQuery location of the input table.
+      // The schema of the table should be in the format described by the given
+      // context OpenAPI Schema, if one is provided. The table may contain
+      // additional columns that are not described by the schema, and they will
+      // be ignored.
+      BigQuerySource bigquery_source = 3;
+    }
+
+    // Required. The format in which instances are given, must be one of the
+    // [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+    // [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
+    string instances_format = 1 [(google.api.field_behavior) = REQUIRED];
+  }
+
+  // Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+  // See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output
+  // formats, and how predictions are expressed via any of them.
+  message OutputConfig {
+    // Required. The destination of the output.
+    oneof destination {
+      // The Cloud Storage location of the directory where the output is
+      // to be written to. In the given directory a new directory is created.
+      // Its name is `prediction-<model-display-name>-<job-create-time>`,
+      // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+      // Inside of it files `predictions_0001.<extension>`,
+      // `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
+      // are created where `<extension>` depends on chosen
+      // [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
+      // number of successfully predicted instances.
+      // If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+      // and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+      // defined then each such file contains predictions as per the
+      // [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
+      // If prediction for any instance failed (partially or completely), then
+      // an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
+      // `errors_N.<extension>` files are created (N depends on total number
+      // of failed predictions). These files contain the failed instances,
+      // as per their schema, followed by an additional `error` field which as
+      // value has
+      // [`google.rpc.Status`](Status)
+      // containing only `code` and `message` fields.
+      GcsDestination gcs_destination = 2;
+
+      // The BigQuery project location where the output is to be written to.
+      // In the given project a new dataset is created with name
+      // `prediction_<model-display-name>_<job-create-time>`
+      // where <model-display-name> is made
+      // BigQuery-dataset-name compatible (for example, most special characters
+      // become underscores), and timestamp is in
+      // YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
+      // two tables will be created, `predictions`, and `errors`.
+      // If the Model has both [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+      // and [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri] schemata
+      // defined then the tables have columns as follows: The `predictions`
+      // table contains instances for which the prediction succeeded, it
+      // has columns as per a concatenation of the Model's instance and
+      // prediction schemata. The `errors` table contains rows for which the
+      // prediction has failed, it has instance columns, as per the
+      // instance schema, followed by a single "errors" column, which as values
+      // has [`google.rpc.Status`](Status)
+      // represented as a STRUCT, and containing only `code` and `message`.
+      BigQueryDestination bigquery_destination = 3;
+    }
+
+    // Required. The format in which AI Platform gives the predictions, must be one of the
+    // [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+    //
+    // [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+    string predictions_format = 1 [(google.api.field_behavior) = REQUIRED];
+  }
+
+  // Further describes this job's output.
+  // Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+  message OutputInfo {
+    // The output location into which prediction output is written.
+    oneof output_location {
+      // Output only. The full path of the Cloud Storage directory created, into which
+      // the prediction output is written.
+      string gcs_output_directory = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+      // Output only. The path of the BigQuery dataset created, in
+      // `bq://projectId.bqDatasetId`
+      // format, into which the prediction output is written.
+      string bigquery_output_dataset = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+    }
+  }
+
+  // Output only. Resource name of the BatchPredictionJob.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The user-defined name of this BatchPredictionJob.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The name of the Model that produces the predictions via this job,
+  // must share the same ancestor Location.
+  // Starting this job has no impact on any existing deployments of the Model
+  // and their resources.
+  string model = 3 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // Required. Input configuration of the instances on which predictions are performed.
+  // The schema of any single instance may be specified via
+  // the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+  // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+  // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+  InputConfig input_config = 4 [(google.api.field_behavior) = REQUIRED];
+
+  // The parameters that govern the predictions. The schema of the parameters
+  // may be specified via the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+  // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+  // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+  google.protobuf.Value model_parameters = 5;
+
+  // Required. The Configuration specifying where output predictions should
+  // be written.
+  // The schema of any single prediction may be specified as a concatenation
+  // of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
+  // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+  // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
+  // and
+  // [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+  OutputConfig output_config = 6 [(google.api.field_behavior) = REQUIRED];
+
+  // The config of resources used by the Model during the batch prediction. If
+  // the Model [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
+  // DEDICATED_RESOURCES this config may be provided (and the job will use these
+  // resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
+  // must be provided.
+  BatchDedicatedResources dedicated_resources = 7;
+
+  // Immutable. Parameters configuring the batch behavior. Currently only applicable when
+  // [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources] are used (in other cases AI Platform does
+  // the tuning itself).
+  ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Output only. Information further describing the output of this job.
+  OutputInfo output_info = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The detailed state of the job.
+  JobState state = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Only populated when the job's state is JOB_STATE_FAILED or
+  // JOB_STATE_CANCELLED.
+  google.rpc.Status error = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Partial failures encountered.
+  // For example, single files that can't be read.
+  // This field never exceeds 20 entries.
+  // Status details fields contain standard GCP error details.
+  repeated google.rpc.Status partial_failures = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Information about resources that had been consumed by this job.
+  // Provided in real time at best effort basis, as well as a final value
+  // once the job completes.
+  //
+  // Note: This field currently may be not populated for batch predictions that
+  // use AutoML Models.
+  ResourcesConsumed resources_consumed = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Statistics on completed and failed prediction instances.
+  CompletionStats completion_stats = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the BatchPredictionJob was created.
+  google.protobuf.Timestamp create_time = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the BatchPredictionJob for the first time entered the
+  // `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the BatchPredictionJob entered any of the following states:
+  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 17 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the BatchPredictionJob was most recently updated.
+  google.protobuf.Timestamp update_time = 18 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The labels with user-defined metadata to organize BatchPredictionJobs.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  map<string, string> labels = 19;
+
+  // Customer-managed encryption key options for a BatchPredictionJob. If this
+  // is set, then all resources created by the BatchPredictionJob will be
+  // encrypted with the provided encryption key.
+  EncryptionSpec encryption_spec = 24;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto
new file mode 100644
index 000000000..2e37bcc47
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/completion_stats.proto
@@ -0,0 +1,43 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/rpc/status.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "CompletionStatsProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Success and error statistics of processing multiple entities
+// (for example, DataItems or structured data rows) in batch.
+message CompletionStats {
+  // Output only. The number of entities that had been processed successfully.
+  int64 successful_count = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The number of entities for which any error was encountered.
+  int64 failed_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. In cases when enough errors are encountered a job, pipeline, or operation
+  // may be failed as a whole. Below is the number of entities for which the
+  // processing had not been finished (either in successful or failed state).
+  // Set to -1 if the number is unknown (for example, the operation failed
+  // before the total entity number could be collected).
+  int64 incomplete_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto
new file mode 100644
index 000000000..eb9125ad7
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/custom_job.proto
@@ -0,0 +1,216 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/env_var.proto";
+import "google/cloud/aiplatform/v1/io.proto";
+import "google/cloud/aiplatform/v1/job_state.proto";
+import "google/cloud/aiplatform/v1/machine_resources.proto";
+import "google/protobuf/duration.proto";
+import "google/protobuf/timestamp.proto";
+import "google/rpc/status.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "CustomJobProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Represents a job that runs custom workloads such as a Docker container or a
+// Python package. A CustomJob can have multiple worker pools and each worker
+// pool can have its own machine and input spec. A CustomJob will be cleaned up
+// once the job enters terminal state (failed or succeeded).
+message CustomJob {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/CustomJob"
+    pattern: "projects/{project}/locations/{location}/customJobs/{custom_job}"
+  };
+
+  // Output only. Resource name of a CustomJob.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The display name of the CustomJob.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Job spec.
+  CustomJobSpec job_spec = 4 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. The detailed state of the job.
+  JobState state = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the CustomJob was created.
+  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the CustomJob for the first time entered the
+  // `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the CustomJob entered any of the following states:
+  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the CustomJob was most recently updated.
+  google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Only populated when job's state is `JOB_STATE_FAILED` or
+  // `JOB_STATE_CANCELLED`.
+  google.rpc.Status error = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The labels with user-defined metadata to organize CustomJobs.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  map<string, string> labels = 11;
+
+  // Customer-managed encryption key options for a CustomJob. If this is set,
+  // then all resources created by the CustomJob will be encrypted with the
+  // provided encryption key.
+  EncryptionSpec encryption_spec = 12;
+}
+
+// Represents the spec of a CustomJob.
+message CustomJobSpec {
+  // Required. The spec of the worker pools including machine type and Docker image.
+  repeated WorkerPoolSpec worker_pool_specs = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Scheduling options for a CustomJob.
+  Scheduling scheduling = 3;
+
+  // Specifies the service account for workload run-as account.
+  // Users submitting jobs must have act-as permission on this run-as account.
+  // If unspecified, the AI Platform Custom Code Service Agent for the
+  // CustomJob's project is used.
+  string service_account = 4;
+
+  // The full name of the Compute Engine
+  // [network](/compute/docs/networks-and-firewalls#networks) to which the Job
+  // should be peered. For example, `projects/12345/global/networks/myVPC`.
+  // [Format](/compute/docs/reference/rest/v1/networks/insert)
+  // is of the form `projects/{project}/global/networks/{network}`.
+  // Where {project} is a project number, as in `12345`, and {network} is a
+  // network name.
+  //
+  // Private services access must already be configured for the network. If left
+  // unspecified, the job is not peered with any network.
+  string network = 5;
+
+  // The Cloud Storage location to store the output of this CustomJob or
+  // HyperparameterTuningJob. For HyperparameterTuningJob,
+  // the baseOutputDirectory of
+  // each child CustomJob backing a Trial is set to a subdirectory of name
+  // [id][google.cloud.aiplatform.v1.Trial.id] under its parent HyperparameterTuningJob's
+  // baseOutputDirectory.
+  //
+  // The following AI Platform environment variables will be passed to
+  // containers or python modules when this field is set:
+  //
+  //   For CustomJob:
+  //
+  //   * AIP_MODEL_DIR = `<base_output_directory>/model/`
+  //   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
+  //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`
+  //
+  //   For CustomJob backing a Trial of HyperparameterTuningJob:
+  //
+  //   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
+  //   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
+  //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
+  GcsDestination base_output_directory = 6;
+}
+
+// Represents the spec of a worker pool in a job.
+message WorkerPoolSpec {
+  // The custom task to be executed in this worker pool.
+  oneof task {
+    // The custom container task.
+    ContainerSpec container_spec = 6;
+
+    // The Python packaged task.
+    PythonPackageSpec python_package_spec = 7;
+  }
+
+  // Optional. Immutable. The specification of a single machine.
+  MachineSpec machine_spec = 1 [
+    (google.api.field_behavior) = OPTIONAL,
+    (google.api.field_behavior) = IMMUTABLE
+  ];
+
+  // Optional. The number of worker replicas to use for this worker pool.
+  int64 replica_count = 2 [(google.api.field_behavior) = OPTIONAL];
+
+  // Disk spec.
+  DiskSpec disk_spec = 5;
+}
+
+// The spec of a Container.
+message ContainerSpec {
+  // Required. The URI of a container image in the Container Registry that is to be run on
+  // each worker replica.
+  string image_uri = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // The command to be invoked when the container is started.
+  // It overrides the entrypoint instruction in Dockerfile when provided.
+  repeated string command = 2;
+
+  // The arguments to be passed when starting the container.
+  repeated string args = 3;
+
+  // Environment variables to be passed to the container.
+  repeated EnvVar env = 4;
+}
+
+// The spec of a Python packaged code.
+message PythonPackageSpec {
+  // Required. The URI of a container image in the Container Registry that will run the
+  // provided python package. AI Platform provides wide range of executor images
+  // with pre-installed packages to meet users' various use cases. Only one of
+  // the provided images can be set here.
+  string executor_image_uri = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The Google Cloud Storage location of the Python package files which are
+  // the training program and its dependent packages.
+  // The maximum number of package URIs is 100.
+  repeated string package_uris = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The Python module name to run after installing the packages.
+  string python_module = 3 [(google.api.field_behavior) = REQUIRED];
+
+  // Command line arguments to be passed to the Python task.
+  repeated string args = 4;
+
+  // Environment variables to be passed to the python module.
+  repeated EnvVar env = 5;
+}
+
+// All parameters related to queuing and scheduling of custom jobs.
+message Scheduling {
+  // The maximum job running time. The default is 7 days.
+  google.protobuf.Duration timeout = 1;
+
+  // Restarts the entire CustomJob if a worker gets restarted.
+  // This feature can be used by distributed training jobs that are not
+  // resilient to workers leaving and joining a job.
+  bool restart_job_on_worker_restart = 3;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto
new file mode 100644
index 000000000..fdc2e5bdc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_item.proto
@@ -0,0 +1,68 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "DataItemProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A piece of data in a Dataset. Could be an image, a video, a document or plain
+// text.
+message DataItem {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/DataItem"
+    pattern: "projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}"
+  };
+
+  // Output only. The resource name of the DataItem.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this DataItem was created.
+  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this DataItem was last updated.
+  google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Optional. The labels with user-defined metadata to organize your DataItems.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  // No more than 64 user labels can be associated with one DataItem(System
+  // labels are excluded).
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  // System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+  // and are immutable.
+  map<string, string> labels = 3 [(google.api.field_behavior) = OPTIONAL];
+
+  // Required. The data that the DataItem represents (for example, an image or a text
+  // snippet). The schema of the payload is stored in the parent Dataset's
+  // [metadata schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
+  google.protobuf.Value payload = 4 [(google.api.field_behavior) = REQUIRED];
+
+  // Optional. Used to perform consistent read-modify-write updates. If not set, a blind
+  // "overwrite" update happens.
+  string etag = 7 [(google.api.field_behavior) = OPTIONAL];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto
new file mode 100644
index 000000000..c6af38262
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/data_labeling_job.proto
@@ -0,0 +1,207 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/accelerator_type.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/job_state.proto";
+import "google/cloud/aiplatform/v1/specialist_pool.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/rpc/status.proto";
+import "google/type/money.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "DataLabelingJobProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// DataLabelingJob is used to trigger a human labeling job on unlabeled data
+// from the following Dataset:
+message DataLabelingJob {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/DataLabelingJob"
+    pattern: "projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}"
+  };
+
+  // Output only. Resource name of the DataLabelingJob.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The user-defined name of the DataLabelingJob.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  // Display name of a DataLabelingJob.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Dataset resource names. Right now we only support labeling from a single
+  // Dataset.
+  // Format:
+  // `projects/{project}/locations/{location}/datasets/{dataset}`
+  repeated string datasets = 3 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Dataset"
+    }
+  ];
+
+  // Labels to assign to annotations generated by this DataLabelingJob.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  // System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+  // and are immutable.
+  map<string, string> annotation_labels = 12;
+
+  // Required. Number of labelers to work on each DataItem.
+  int32 labeler_count = 4 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The Google Cloud Storage location of the instruction pdf. This pdf is
+  // shared with labelers, and provides detailed description on how to label
+  // DataItems in Datasets.
+  string instruction_uri = 5 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Points to a YAML file stored on Google Cloud Storage describing the
+  // config for a specific type of DataLabelingJob.
+  // The schema files that can be used here are found in the
+  // https://storage.googleapis.com/google-cloud-aiplatform bucket in the
+  // /schema/datalabelingjob/inputs/ folder.
+  string inputs_schema_uri = 6 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Input config parameters for the DataLabelingJob.
+  google.protobuf.Value inputs = 7 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. The detailed state of the job.
+  JobState state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Current labeling job progress percentage scaled in interval [0, 100],
+  // indicating the percentage of DataItems that has been finished.
+  int32 labeling_progress = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
+  // date.
+  google.type.Money current_spend = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this DataLabelingJob was created.
+  google.protobuf.Timestamp create_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this DataLabelingJob was updated most recently.
+  google.protobuf.Timestamp update_time = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. DataLabelingJob errors. It is only populated when job's state is
+  // `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+  google.rpc.Status error = 22 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The labels with user-defined metadata to organize your DataLabelingJobs.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  // System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+  // and are immutable. Following system labels exist for each DataLabelingJob:
+  //
+  // * "aiplatform.googleapis.com/schema": output only, its value is the
+  //   [inputs_schema][google.cloud.aiplatform.v1.DataLabelingJob.inputs_schema_uri]'s title.
+  map<string, string> labels = 11;
+
+  // The SpecialistPools' resource names associated with this job.
+  repeated string specialist_pools = 16;
+
+  // Customer-managed encryption key spec for a DataLabelingJob. If set, this
+  // DataLabelingJob will be secured by this key.
+  //
+  // Note: Annotations created in the DataLabelingJob are associated with
+  // the EncryptionSpec of the Dataset they are exported to.
+  EncryptionSpec encryption_spec = 20;
+
+  // Parameters that configure the active learning pipeline. Active learning will
+  // label the data incrementally via several iterations. For every iteration,
+  // it will select a batch of data based on the sampling strategy.
+  ActiveLearningConfig active_learning_config = 21;
+}
+
+// Parameters that configure the active learning pipeline. Active learning will
+//  label the data incrementally by several iterations. For every iteration, it
+//  will select a batch of data based on the sampling strategy.
+message ActiveLearningConfig {
+  // Required. Max human labeling DataItems. The rest part will be labeled by
+  // machine.
+  oneof human_labeling_budget {
+    // Max number of human labeled DataItems.
+    int64 max_data_item_count = 1;
+
+    // Max percent of total DataItems for human labeling.
+    int32 max_data_item_percentage = 2;
+  }
+
+  // Active learning data sampling config. For every active learning labeling
+  // iteration, it will select a batch of data based on the sampling strategy.
+  SampleConfig sample_config = 3;
+
+  // CMLE training config. For every active learning labeling iteration, system
+  // will train a machine learning model on CMLE. The trained model will be used
+  // by data sampling algorithm to select DataItems.
+  TrainingConfig training_config = 4;
+}
+
+// Active learning data sampling config. For every active learning labeling
+// iteration, it will select a batch of data based on the sampling strategy.
+message SampleConfig {
+  // Sample strategy decides which subset of DataItems should be selected for
+  // human labeling in every batch.
+  enum SampleStrategy {
+    // Default will be treated as UNCERTAINTY.
+    SAMPLE_STRATEGY_UNSPECIFIED = 0;
+
+    // Sample the most uncertain data to label.
+    UNCERTAINTY = 1;
+  }
+
+  // Decides sample size for the initial batch. initial_batch_sample_percentage
+  // is used by default.
+  oneof initial_batch_sample_size {
+    // The percentage of data needed to be labeled in the first batch.
+    int32 initial_batch_sample_percentage = 1;
+  }
+
+  // Decides sample size for the following batches.
+  // following_batch_sample_percentage is used by default.
+  oneof following_batch_sample_size {
+    // The percentage of data needed to be labeled in each following batch
+    // (except the first batch).
+    int32 following_batch_sample_percentage = 3;
+  }
+
+  // Field to choose sampling strategy. Sampling strategy will decide which data
+  // should be selected for human labeling in every batch.
+  SampleStrategy sample_strategy = 5;
+}
+
+// CMLE training config. For every active learning labeling iteration, system
+// will train a machine learning model on CMLE. The trained model will be used
+// by data sampling algorithm to select DataItems.
+message TrainingConfig {
+  // The timeout hours for the CMLE training job, expressed in milli hours
+  // i.e. 1,000 value in this field means 1 hour.
+  int64 timeout_training_milli_hours = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto
new file mode 100644
index 000000000..7aabab486
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset.proto
@@ -0,0 +1,138 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/io.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "DatasetProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A collection of DataItems and Annotations on them.
+message Dataset {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Dataset"
+    pattern: "projects/{project}/locations/{location}/datasets/{dataset}"
+  };
+
+  // Output only. The resource name of the Dataset.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The user-defined name of the Dataset.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Points to a YAML file stored on Google Cloud Storage describing additional
+  // information about the Dataset.
+  // The schema is defined as an OpenAPI 3.0.2 Schema Object.
+  // The schema files that can be used here are found in
+  // gs://google-cloud-aiplatform/schema/dataset/metadata/.
+  string metadata_schema_uri = 3 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Additional information about the Dataset.
+  google.protobuf.Value metadata = 8 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. Timestamp when this Dataset was created.
+  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this Dataset was last updated.
+  google.protobuf.Timestamp update_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Used to perform consistent read-modify-write updates. If not set, a blind
+  // "overwrite" update happens.
+  string etag = 6;
+
+  // The labels with user-defined metadata to organize your Datasets.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  // No more than 64 user labels can be associated with one Dataset (System
+  // labels are excluded).
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  // System reserved label keys are prefixed with "aiplatform.googleapis.com/"
+  // and are immutable. Following system labels exist for each Dataset:
+  //
+  // * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
+  //   value is the [metadata_schema's][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] title.
+  map<string, string> labels = 7;
+
+  // Customer-managed encryption key spec for a Dataset. If set, this Dataset
+  // and all sub-resources of this Dataset will be secured by this key.
+  EncryptionSpec encryption_spec = 11;
+}
+
+// Describes the location from where we import data into a Dataset, together
+// with the labels that will be applied to the DataItems and the Annotations.
+message ImportDataConfig {
+  // The source of the input.
+  oneof source {
+    // The Google Cloud Storage location for the input content.
+    GcsSource gcs_source = 1;
+  }
+
+  // Labels that will be applied to newly imported DataItems. If an identical
+  // DataItem as one being imported already exists in the Dataset, then these
+  // labels will be appended to these of the already existing one, and if labels
+  // with identical key is imported before, the old label value will be
+  // overwritten. If two DataItems are identical in the same import data
+  // operation, the labels will be combined and if key collision happens in this
+  // case, one of the values will be picked randomly. Two DataItems are
+  // considered identical if their content bytes are identical (e.g. image bytes
+  // or pdf bytes).
+  // These labels will be overridden by Annotation labels specified inside index
+  // file referenced by [import_schema_uri][google.cloud.aiplatform.v1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
+  map<string, string> data_item_labels = 2;
+
+  // Required. Points to a YAML file stored on Google Cloud Storage describing the import
+  // format. Validation will be done against the schema. The schema is defined
+  // as an [OpenAPI 3.0.2 Schema Object](https://tinyurl.com/y538mdwt).
+  string import_schema_uri = 4 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Describes what part of the Dataset is to be exported, the destination of
+// the export and how to export.
+message ExportDataConfig {
+  // The destination of the output.
+  oneof destination {
+    // The Google Cloud Storage location where the output is to be written to.
+    // In the given directory a new directory will be created with name:
+    // `export-data-<dataset-display-name>-<timestamp-of-export-call>` where
+    // timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
+    // output will be written into that directory. Inside that directory,
+    // annotations with the same schema will be grouped into sub directories
+    // which are named with the corresponding annotations' schema title. Inside
+    // these sub directories, a schema.yaml will be created to describe the
+    // output format.
+    GcsDestination gcs_destination = 1;
+  }
+
+  // A filter on Annotations of the Dataset. Only Annotations on to-be-exported
+  // DataItems(specified by [data_items_filter][]) that match this filter will
+  // be exported. The filter syntax is the same as in
+  // [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+  string annotations_filter = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto
new file mode 100644
index 000000000..8c6ea31fe
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/dataset_service.proto
@@ -0,0 +1,411 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/annotation.proto";
+import "google/cloud/aiplatform/v1/annotation_spec.proto";
+import "google/cloud/aiplatform/v1/data_item.proto";
+import "google/cloud/aiplatform/v1/dataset.proto";
+import "google/cloud/aiplatform/v1/operation.proto";
+import "google/cloud/aiplatform/v1/training_pipeline.proto";
+import "google/longrunning/operations.proto";
+import "google/protobuf/field_mask.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "DatasetServiceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+service DatasetService {
+  option (google.api.default_host) = "aiplatform.googleapis.com";
+  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+
+  // Creates a Dataset.
+  rpc CreateDataset(CreateDatasetRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/datasets"
+      body: "dataset"
+    };
+    option (google.api.method_signature) = "parent,dataset";
+    option (google.longrunning.operation_info) = {
+      response_type: "Dataset"
+      metadata_type: "CreateDatasetOperationMetadata"
+    };
+  }
+
+  // Gets a Dataset.
+  rpc GetDataset(GetDatasetRequest) returns (Dataset) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/datasets/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Updates a Dataset.
+  rpc UpdateDataset(UpdateDatasetRequest) returns (Dataset) {
+    option (google.api.http) = {
+      patch: "/v1/{dataset.name=projects/*/locations/*/datasets/*}"
+      body: "dataset"
+    };
+    option (google.api.method_signature) = "dataset,update_mask";
+  }
+
+  // Lists Datasets in a Location.
+  rpc ListDatasets(ListDatasetsRequest) returns (ListDatasetsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/datasets"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Deletes a Dataset.
+  rpc DeleteDataset(DeleteDatasetRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/datasets/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Imports data into a Dataset.
+  rpc ImportData(ImportDataRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/datasets/*}:import"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name,import_configs";
+    option (google.longrunning.operation_info) = {
+      response_type: "ImportDataResponse"
+      metadata_type: "ImportDataOperationMetadata"
+    };
+  }
+
+  // Exports data from a Dataset.
+  rpc ExportData(ExportDataRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/datasets/*}:export"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name,export_config";
+    option (google.longrunning.operation_info) = {
+      response_type: "ExportDataResponse"
+      metadata_type: "ExportDataOperationMetadata"
+    };
+  }
+
+  // Lists DataItems in a Dataset.
+  rpc ListDataItems(ListDataItemsRequest) returns (ListDataItemsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*/datasets/*}/dataItems"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Gets an AnnotationSpec.
+  rpc GetAnnotationSpec(GetAnnotationSpecRequest) returns (AnnotationSpec) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists Annotations belongs to a dataitem
+  rpc ListAnnotations(ListAnnotationsRequest) returns (ListAnnotationsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*/datasets/*/dataItems/*}/annotations"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+}
+
+// Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+message CreateDatasetRequest {
+  // Required. The resource name of the Location to create the Dataset in.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The Dataset to create.
+  Dataset dataset = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
+message CreateDatasetOperationMetadata {
+  // The operation generic information.
+  GenericOperationMetadata generic_metadata = 1;
+}
+
+// Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
+message GetDatasetRequest {
+  // Required. The name of the Dataset resource.
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Dataset"
+    }
+  ];
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 2;
+}
+
+// Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
+message UpdateDatasetRequest {
+  // Required. The Dataset which replaces the resource on the server.
+  Dataset dataset = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The update mask applies to the resource.
+  // For the `FieldMask` definition, see
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  // Updatable fields:
+  //
+  //   * `display_name`
+  //   * `description`
+  //   * `labels`
+  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+message ListDatasetsRequest {
+  // Required. The name of the Dataset's parent resource.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // An expression for filtering the results of the request. For field names
+  // both snake_case and camelCase are supported.
+  //
+  //   * `display_name`: supports = and !=
+  //   * `metadata_schema_uri`: supports = and !=
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `displayName="myDisplayName"`
+  //   * `labels.myKey="myValue"`
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  // Supported fields:
+  //   * `display_name`
+  //   * `create_time`
+  //   * `update_time`
+  string order_by = 6;
+}
+
+// Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
+message ListDatasetsResponse {
+  // A list of Datasets that matches the specified filter in the request.
+  repeated Dataset datasets = 1;
+
+  // The standard List next-page token.
+  string next_page_token = 2;
+}
+
+// Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
+message DeleteDatasetRequest {
+  // Required. The resource name of the Dataset to delete.
+  // Format:
+  // `projects/{project}/locations/{location}/datasets/{dataset}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Dataset"
+    }
+  ];
+}
+
+// Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+message ImportDataRequest {
+  // Required. The name of the Dataset resource.
+  // Format:
+  // `projects/{project}/locations/{location}/datasets/{dataset}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Dataset"
+    }
+  ];
+
+  // Required. The desired input locations. The contents of all input locations will be
+  // imported in one batch.
+  repeated ImportDataConfig import_configs = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+message ImportDataResponse {
+
+}
+
+// Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
+message ImportDataOperationMetadata {
+  // The common part of the operation metadata.
+  GenericOperationMetadata generic_metadata = 1;
+}
+
+// Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+message ExportDataRequest {
+  // Required. The name of the Dataset resource.
+  // Format:
+  // `projects/{project}/locations/{location}/datasets/{dataset}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Dataset"
+    }
+  ];
+
+  // Required. The desired output location.
+  ExportDataConfig export_config = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+message ExportDataResponse {
+  // All of the files that are exported in this export operation.
+  repeated string exported_files = 1;
+}
+
+// Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
+message ExportDataOperationMetadata {
+  // The common part of the operation metadata.
+  GenericOperationMetadata generic_metadata = 1;
+
+  // A Google Cloud Storage directory which path ends with '/'. The exported
+  // data is stored in the directory.
+  string gcs_output_directory = 2;
+}
+
+// Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+message ListDataItemsRequest {
+  // Required. The resource name of the Dataset to list DataItems from.
+  // Format:
+  // `projects/{project}/locations/{location}/datasets/{dataset}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Dataset"
+    }
+  ];
+
+  // The standard list filter.
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  string order_by = 6;
+}
+
+// Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
+message ListDataItemsResponse {
+  // A list of DataItems that matches the specified filter in the request.
+  repeated DataItem data_items = 1;
+
+  // The standard List next-page token.
+  string next_page_token = 2;
+}
+
+// Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
+message GetAnnotationSpecRequest {
+  // Required. The name of the AnnotationSpec resource.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/AnnotationSpec"
+    }
+  ];
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 2;
+}
+
+// Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+message ListAnnotationsRequest {
+  // Required. The resource name of the DataItem to list Annotations from.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/DataItem"
+    }
+  ];
+
+  // The standard list filter.
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  string order_by = 6;
+}
+
+// Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
+message ListAnnotationsResponse {
+  // A list of Annotations that matches the specified filter in the request.
+  repeated Annotation annotations = 1;
+
+  // The standard List next-page token.
+  string next_page_token = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/deployed_model_ref.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/deployed_model_ref.proto
new file mode 100644
index 000000000..f3e6184c8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/deployed_model_ref.proto
@@ -0,0 +1,40 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "DeployedModelNameProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Points to a DeployedModel.
+message DeployedModelRef {
+  // Immutable. A resource name of an Endpoint.
+  string endpoint = 1 [
+    (google.api.field_behavior) = IMMUTABLE,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Endpoint"
+    }
+  ];
+
+  // Immutable. An ID of a DeployedModel in the above Endpoint.
+  string deployed_model_id = 2 [(google.api.field_behavior) = IMMUTABLE];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto
new file mode 100644
index 000000000..dd97fb48b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/encryption_spec.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "EncryptionSpecProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Represents a customer-managed encryption key spec that can be applied to
+// a top-level resource.
+message EncryptionSpec {
+  // Required. The Cloud KMS resource identifier of the customer managed encryption key
+  // used to protect a resource. Has the form:
+  // `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+  // The key needs to be in the same region as where the compute resource is
+  // created.
+  string kms_key_name = 1 [(google.api.field_behavior) = REQUIRED];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto
new file mode 100644
index 000000000..3b9afe32f
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint.proto
@@ -0,0 +1,151 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/machine_resources.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "EndpointProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Models are deployed into it, and afterwards Endpoint is called to obtain
+// predictions and explanations.
+message Endpoint {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Endpoint"
+    pattern: "projects/{project}/locations/{location}/endpoints/{endpoint}"
+  };
+
+  // Output only. The resource name of the Endpoint.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The display name of the Endpoint.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // The description of the Endpoint.
+  string description = 3;
+
+  // Output only. The models deployed in this Endpoint.
+  // To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and
+  // [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.
+  repeated DeployedModel deployed_models = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // A map from a DeployedModel's ID to the percentage of this Endpoint's
+  // traffic that should be forwarded to that DeployedModel.
+  //
+  // If a DeployedModel's ID is not listed in this map, then it receives no
+  // traffic.
+  //
+  // The traffic percentage values must add up to 100, or map must be empty if
+  // the Endpoint is to not accept any traffic at a moment.
+  map<string, int32> traffic_split = 5;
+
+  // Used to perform consistent read-modify-write updates. If not set, a blind
+  // "overwrite" update happens.
+  string etag = 6;
+
+  // The labels with user-defined metadata to organize your Endpoints.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  map<string, string> labels = 7;
+
+  // Output only. Timestamp when this Endpoint was created.
+  google.protobuf.Timestamp create_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this Endpoint was last updated.
+  google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Customer-managed encryption key spec for an Endpoint. If set, this
+  // Endpoint and all sub-resources of this Endpoint will be secured by
+  // this key.
+  EncryptionSpec encryption_spec = 10;
+}
+
+// A deployment of a Model. Endpoints contain one or more DeployedModels.
+message DeployedModel {
+  // The prediction (for example, the machine) resources that the DeployedModel
+  // uses. The user is billed for the resources (at least their minimal amount)
+  // even if the DeployedModel receives no traffic.
+  // Not all Models support all resources types. See
+  // [Model.supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types].
+  oneof prediction_resources {
+    // A description of resources that are dedicated to the DeployedModel, and
+    // that need a higher degree of manual configuration.
+    DedicatedResources dedicated_resources = 7;
+
+    // A description of resources that to large degree are decided by AI
+    // Platform, and require only a modest additional configuration.
+    AutomaticResources automatic_resources = 8;
+  }
+
+  // Output only. The ID of the DeployedModel.
+  string id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The name of the Model that this is the deployment of. Note that the Model
+  // may be in a different location than the DeployedModel's Endpoint.
+  string model = 2 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // The display name of the DeployedModel. If not provided upon creation,
+  // the Model's display_name is used.
+  string display_name = 3;
+
+  // Output only. Timestamp when the DeployedModel was created.
+  google.protobuf.Timestamp create_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The service account that the DeployedModel's container runs as. Specify the
+  // email address of the service account. If this service account is not
+  // specified, the container runs as a service account that doesn't have access
+  // to the resource project.
+  //
+  // Users deploying the Model must have the `iam.serviceAccounts.actAs`
+  // permission on this service account.
+  string service_account = 11;
+
+  // For custom-trained Models and AutoML Tabular Models, the container of the
+  // DeployedModel instances will send `stderr` and `stdout` streams to
+  // Stackdriver Logging by default. Please note that the logs incur cost,
+  // which are subject to [Cloud Logging
+  // pricing](https://cloud.google.com/stackdriver/pricing).
+  //
+  // User can disable container logging by setting this flag to true.
+  bool disable_container_logging = 15;
+
+  // These logs are like standard server access logs, containing
+  // information like timestamp and latency for each prediction request.
+  //
+  // Note that Stackdriver logs may incur a cost, especially if your project
+  // receives prediction requests at a high queries per second rate (QPS).
+  // Estimate your costs before enabling this option.
+  bool enable_access_logging = 13;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto
new file mode 100644
index 000000000..f055c6051
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/endpoint_service.proto
@@ -0,0 +1,312 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/endpoint.proto";
+import "google/cloud/aiplatform/v1/operation.proto";
+import "google/longrunning/operations.proto";
+import "google/protobuf/field_mask.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "EndpointServiceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+service EndpointService {
+  option (google.api.default_host) = "aiplatform.googleapis.com";
+  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+
+  // Creates an Endpoint.
+  rpc CreateEndpoint(CreateEndpointRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/endpoints"
+      body: "endpoint"
+    };
+    option (google.api.method_signature) = "parent,endpoint";
+    option (google.longrunning.operation_info) = {
+      response_type: "Endpoint"
+      metadata_type: "CreateEndpointOperationMetadata"
+    };
+  }
+
+  // Gets an Endpoint.
+  rpc GetEndpoint(GetEndpointRequest) returns (Endpoint) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/endpoints/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists Endpoints in a Location.
+  rpc ListEndpoints(ListEndpointsRequest) returns (ListEndpointsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/endpoints"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Updates an Endpoint.
+  rpc UpdateEndpoint(UpdateEndpointRequest) returns (Endpoint) {
+    option (google.api.http) = {
+      patch: "/v1/{endpoint.name=projects/*/locations/*/endpoints/*}"
+      body: "endpoint"
+    };
+    option (google.api.method_signature) = "endpoint,update_mask";
+  }
+
+  // Deletes an Endpoint.
+  rpc DeleteEndpoint(DeleteEndpointRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/endpoints/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Deploys a Model into this Endpoint, creating a DeployedModel within it.
+  rpc DeployModel(DeployModelRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:deployModel"
+      body: "*"
+    };
+    option (google.api.method_signature) = "endpoint,deployed_model,traffic_split";
+    option (google.longrunning.operation_info) = {
+      response_type: "DeployModelResponse"
+      metadata_type: "DeployModelOperationMetadata"
+    };
+  }
+
+  // Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
+  // freeing all resources it's using.
+  rpc UndeployModel(UndeployModelRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:undeployModel"
+      body: "*"
+    };
+    option (google.api.method_signature) = "endpoint,deployed_model_id,traffic_split";
+    option (google.longrunning.operation_info) = {
+      response_type: "UndeployModelResponse"
+      metadata_type: "UndeployModelOperationMetadata"
+    };
+  }
+}
+
+// Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+message CreateEndpointRequest {
+  // Required. The resource name of the Location to create the Endpoint in.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The Endpoint to create.
+  Endpoint endpoint = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
+message CreateEndpointOperationMetadata {
+  // The operation generic information.
+  GenericOperationMetadata generic_metadata = 1;
+}
+
+// Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
+message GetEndpointRequest {
+  // Required. The name of the Endpoint resource.
+  // Format:
+  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Endpoint"
+    }
+  ];
+}
+
+// Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+message ListEndpointsRequest {
+  // Required. The resource name of the Location from which to list the Endpoints.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Optional. An expression for filtering the results of the request. For field names
+  // both snake_case and camelCase are supported.
+  //
+  //   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
+  //     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1.Endpoint.name].
+  //   * `display_name` supports = and, !=
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `endpoint=1`
+  //   * `displayName="myDisplayName"`
+  //   * `labels.myKey="myValue"`
+  string filter = 2 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. The standard list page size.
+  int32 page_size = 3 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. The standard list page token.
+  // Typically obtained via
+  // [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token] of the previous
+  // [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints] call.
+  string page_token = 4 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5 [(google.api.field_behavior) = OPTIONAL];
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  // Supported fields:
+  //   * `display_name`
+  //   * `create_time`
+  //   * `update_time`
+  //
+  // Example: `display_name, create_time desc`.
+  string order_by = 6;
+}
+
+// Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
+message ListEndpointsResponse {
+  // List of Endpoints in the requested page.
+  repeated Endpoint endpoints = 1;
+
+  // A token to retrieve the next page of results.
+  // Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token] to obtain that page.
+  string next_page_token = 2;
+}
+
+// Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+message UpdateEndpointRequest {
+  // Required. The Endpoint which replaces the resource on the server.
+  Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The update mask applies to the resource.
+  // See
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
+message DeleteEndpointRequest {
+  // Required. The name of the Endpoint resource to be deleted.
+  // Format:
+  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Endpoint"
+    }
+  ];
+}
+
+// Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+message DeployModelRequest {
+  // Required. The name of the Endpoint resource into which to deploy a Model.
+  // Format:
+  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
+  string endpoint = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Endpoint"
+    }
+  ];
+
+  // Required. The DeployedModel to be created within the Endpoint. Note that
+  // [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] must be updated for the DeployedModel to start
+  // receiving traffic, either as part of this call, or via
+  // [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
+  DeployedModel deployed_model = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // A map from a DeployedModel's ID to the percentage of this Endpoint's
+  // traffic that should be forwarded to that DeployedModel.
+  //
+  // If this field is non-empty, then the Endpoint's
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it.
+  // To refer to the ID of the just being deployed Model, a "0" should be used,
+  // and the actual ID of the new DeployedModel will be filled in its place by
+  // this method. The traffic percentage values must add up to 100.
+  //
+  // If this field is empty, then the Endpoint's
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] is not updated.
+  map<string, int32> traffic_split = 3;
+}
+
+// Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+message DeployModelResponse {
+  // The DeployedModel that had been deployed in the Endpoint.
+  DeployedModel deployed_model = 1;
+}
+
+// Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
+message DeployModelOperationMetadata {
+  // The operation generic information.
+  GenericOperationMetadata generic_metadata = 1;
+}
+
+// Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+message UndeployModelRequest {
+  // Required. The name of the Endpoint resource from which to undeploy a Model.
+  // Format:
+  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
+  string endpoint = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Endpoint"
+    }
+  ];
+
+  // Required. The ID of the DeployedModel to be undeployed from the Endpoint.
+  string deployed_model_id = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // If this field is provided, then the Endpoint's
+  // [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] will be overwritten with it. If
+  // last DeployedModel is being undeployed from the Endpoint, the
+  // [Endpoint.traffic_split] will always end up empty when this call returns.
+  // A DeployedModel will be successfully undeployed only if it doesn't have
+  // any traffic assigned to it when this method executes, or if this field
+  // unassigns any traffic to it.
+  map<string, int32> traffic_split = 3;
+}
+
+// Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+message UndeployModelResponse {
+
+}
+
+// Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
+message UndeployModelOperationMetadata {
+  // The operation generic information.
+  GenericOperationMetadata generic_metadata = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/env_var.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/env_var.proto
new file mode 100644
index 000000000..8071a70de
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/env_var.proto
@@ -0,0 +1,40 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "EnvVarProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Represents an environment variable present in a Container or Python Module.
+message EnvVar {
+  // Required. Name of the environment variable. Must be a valid C identifier.
+  string name = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Variables that reference a $(VAR_NAME) are expanded
+  // using the previous defined environment variables in the container and
+  // any service environment variables. If a variable cannot be resolved,
+  // the reference in the input string will be unchanged. The $(VAR_NAME)
+  // syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
+  // references will never be expanded, regardless of whether the variable
+  // exists or not.
+  string value = 2 [(google.api.field_behavior) = REQUIRED];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
new file mode 100644
index 000000000..2f3a1011d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto
@@ -0,0 +1,108 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/custom_job.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/job_state.proto";
+import "google/cloud/aiplatform/v1/study.proto";
+import "google/protobuf/timestamp.proto";
+import "google/rpc/status.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "HyperparameterTuningJobProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Represents a HyperparameterTuningJob. A HyperparameterTuningJob
+// has a Study specification and multiple CustomJobs with identical
+// CustomJob specification.
+message HyperparameterTuningJob {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/HyperparameterTuningJob"
+    pattern: "projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}"
+  };
+
+  // Output only. Resource name of the HyperparameterTuningJob.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The display name of the HyperparameterTuningJob.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Study configuration of the HyperparameterTuningJob.
+  StudySpec study_spec = 4 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The desired total number of Trials.
+  int32 max_trial_count = 5 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The desired number of Trials to run in parallel.
+  int32 parallel_trial_count = 6 [(google.api.field_behavior) = REQUIRED];
+
+  // The number of failed Trials that need to be seen before failing
+  // the HyperparameterTuningJob.
+  //
+  // If set to 0, AI Platform decides how many Trials must fail
+  // before the whole job fails.
+  int32 max_failed_trial_count = 7;
+
+  // Required. The spec of a trial job. The same spec applies to the CustomJobs created
+  // in all the trials.
+  CustomJobSpec trial_job_spec = 8 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. Trials of the HyperparameterTuningJob.
+  repeated Trial trials = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The detailed state of the job.
+  JobState state = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob was created.
+  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob for the first time entered the
+  // `JOB_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob entered any of the following states:
+  // `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the HyperparameterTuningJob was most recently updated.
+  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Only populated when job's state is JOB_STATE_FAILED or
+  // JOB_STATE_CANCELLED.
+  google.rpc.Status error = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The labels with user-defined metadata to organize HyperparameterTuningJobs.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  map<string, string> labels = 16;
+
+  // Customer-managed encryption key options for a HyperparameterTuningJob.
+  // If this is set, then all resources created by the HyperparameterTuningJob
+  // will be encrypted with the provided encryption key.
+  EncryptionSpec encryption_spec = 17;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto
new file mode 100644
index 000000000..c32c66e79
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/io.proto
@@ -0,0 +1,81 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "IoProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// The Google Cloud Storage location for the input content.
+message GcsSource {
+  // Required. Google Cloud Storage URI(-s) to the input file(s). May contain
+  // wildcards. For more information on wildcards, see
+  // https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
+  repeated string uris = 1 [(google.api.field_behavior) = REQUIRED];
+}
+
+// The Google Cloud Storage location where the output is to be written to.
+message GcsDestination {
+  // Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
+  // '/', a '/' will be automatically appended. The directory is created if it
+  // doesn't exist.
+  string output_uri_prefix = 1 [(google.api.field_behavior) = REQUIRED];
+}
+
+// The BigQuery location for the input content.
+message BigQuerySource {
+  // Required. BigQuery URI to a table, up to 2000 characters long.
+  // Accepted forms:
+  //
+  // *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
+  string input_uri = 1 [(google.api.field_behavior) = REQUIRED];
+}
+
+// The BigQuery location for the output content.
+message BigQueryDestination {
+  // Required. BigQuery URI to a project or table, up to 2000 characters long.
+  //
+  // When only the project is specified, the Dataset and Table are created.
+  // When the full table reference is specified, the Dataset must exist and table must
+  // not exist.
+  //
+  // Accepted forms:
+  //
+  // *  BigQuery path. For example:
+  // `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+  string output_uri = 1 [(google.api.field_behavior) = REQUIRED];
+}
+
+// The Container Registry location for the container image.
+message ContainerRegistryDestination {
+  // Required. Container Registry URI of a container image.
+  // Only Google Container Registry and Artifact Registry are supported now.
+  // Accepted forms:
+  //
+  // *  Google Container Registry path. For example:
+  //    `gcr.io/projectId/imageName:tag`.
+  //
+  // *  Artifact Registry path. For example:
+  //    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
+  //
+  // If a tag is not specified, "latest" will be used as the default tag.
+  string output_uri = 1 [(google.api.field_behavior) = REQUIRED];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto
new file mode 100644
index 000000000..b9bff3d3e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_service.proto
@@ -0,0 +1,701 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/batch_prediction_job.proto";
+import "google/cloud/aiplatform/v1/custom_job.proto";
+import "google/cloud/aiplatform/v1/data_labeling_job.proto";
+import "google/cloud/aiplatform/v1/hyperparameter_tuning_job.proto";
+import "google/cloud/aiplatform/v1/operation.proto";
+import "google/longrunning/operations.proto";
+import "google/protobuf/empty.proto";
+import "google/protobuf/field_mask.proto";
+import "google/protobuf/timestamp.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "JobServiceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A service for creating and managing AI Platform's jobs.
+service JobService {
+  option (google.api.default_host) = "aiplatform.googleapis.com";
+  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+
+  // Creates a CustomJob. A created CustomJob right away
+  // will be attempted to be run.
+  rpc CreateCustomJob(CreateCustomJobRequest) returns (CustomJob) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/customJobs"
+      body: "custom_job"
+    };
+    option (google.api.method_signature) = "parent,custom_job";
+  }
+
+  // Gets a CustomJob.
+  rpc GetCustomJob(GetCustomJobRequest) returns (CustomJob) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/customJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists CustomJobs in a Location.
+  rpc ListCustomJobs(ListCustomJobsRequest) returns (ListCustomJobsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/customJobs"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Deletes a CustomJob.
+  rpc DeleteCustomJob(DeleteCustomJobRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/customJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Cancels a CustomJob.
+  // Starts asynchronous cancellation on the CustomJob. The server
+  // makes a best effort to cancel the job, but success is not
+  // guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
+  // other methods to check whether the cancellation succeeded or whether the
+  // job completed despite cancellation. On successful cancellation,
+  // the CustomJob is not deleted; instead it becomes a job with
+  // a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
+  // `CANCELLED`.
+  rpc CancelCustomJob(CancelCustomJobRequest) returns (google.protobuf.Empty) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/customJobs/*}:cancel"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Creates a DataLabelingJob.
+  rpc CreateDataLabelingJob(CreateDataLabelingJobRequest) returns (DataLabelingJob) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/dataLabelingJobs"
+      body: "data_labeling_job"
+    };
+    option (google.api.method_signature) = "parent,data_labeling_job";
+  }
+
+  // Gets a DataLabelingJob.
+  rpc GetDataLabelingJob(GetDataLabelingJobRequest) returns (DataLabelingJob) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists DataLabelingJobs in a Location.
+  rpc ListDataLabelingJobs(ListDataLabelingJobsRequest) returns (ListDataLabelingJobsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/dataLabelingJobs"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Deletes a DataLabelingJob.
+  rpc DeleteDataLabelingJob(DeleteDataLabelingJobRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
+  rpc CancelDataLabelingJob(CancelDataLabelingJobRequest) returns (google.protobuf.Empty) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}:cancel"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Creates a HyperparameterTuningJob
+  rpc CreateHyperparameterTuningJob(CreateHyperparameterTuningJobRequest) returns (HyperparameterTuningJob) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/hyperparameterTuningJobs"
+      body: "hyperparameter_tuning_job"
+    };
+    option (google.api.method_signature) = "parent,hyperparameter_tuning_job";
+  }
+
+  // Gets a HyperparameterTuningJob
+  rpc GetHyperparameterTuningJob(GetHyperparameterTuningJobRequest) returns (HyperparameterTuningJob) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists HyperparameterTuningJobs in a Location.
+  rpc ListHyperparameterTuningJobs(ListHyperparameterTuningJobsRequest) returns (ListHyperparameterTuningJobsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/hyperparameterTuningJobs"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Deletes a HyperparameterTuningJob.
+  rpc DeleteHyperparameterTuningJob(DeleteHyperparameterTuningJobRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Cancels a HyperparameterTuningJob.
+  // Starts asynchronous cancellation on the HyperparameterTuningJob. The server
+  // makes a best effort to cancel the job, but success is not
+  // guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
+  // other methods to check whether the cancellation succeeded or whether the
+  // job completed despite cancellation. On successful cancellation,
+  // the HyperparameterTuningJob is not deleted; instead it becomes a job with
+  // a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
+  // of 1, corresponding to `Code.CANCELLED`, and
+  // [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
+  rpc CancelHyperparameterTuningJob(CancelHyperparameterTuningJobRequest) returns (google.protobuf.Empty) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}:cancel"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Creates a BatchPredictionJob. A BatchPredictionJob once created will
+  // right away be attempted to start.
+  rpc CreateBatchPredictionJob(CreateBatchPredictionJobRequest) returns (BatchPredictionJob) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/batchPredictionJobs"
+      body: "batch_prediction_job"
+    };
+    option (google.api.method_signature) = "parent,batch_prediction_job";
+  }
+
+  // Gets a BatchPredictionJob
+  rpc GetBatchPredictionJob(GetBatchPredictionJobRequest) returns (BatchPredictionJob) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists BatchPredictionJobs in a Location.
+  rpc ListBatchPredictionJobs(ListBatchPredictionJobsRequest) returns (ListBatchPredictionJobsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/batchPredictionJobs"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Deletes a BatchPredictionJob. Can only be called on jobs that already
+  // finished.
+  rpc DeleteBatchPredictionJob(DeleteBatchPredictionJobRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Cancels a BatchPredictionJob.
+  //
+  // Starts asynchronous cancellation on the BatchPredictionJob. The server
+  // makes the best effort to cancel the job, but success is not
+  // guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
+  // other methods to check whether the cancellation succeeded or whether the
+  // job completed despite cancellation. On a successful cancellation,
+  // the BatchPredictionJob is not deleted;instead its
+  // [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
+  // outputted by the job are not deleted.
+  rpc CancelBatchPredictionJob(CancelBatchPredictionJobRequest) returns (google.protobuf.Empty) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/batchPredictionJobs/*}:cancel"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name";
+  }
+}
+
+// Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
+message CreateCustomJobRequest {
+  // Required. The resource name of the Location to create the CustomJob in.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The CustomJob to create.
+  CustomJob custom_job = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
+message GetCustomJobRequest {
+  // Required. The name of the CustomJob resource.
+  // Format:
+  // `projects/{project}/locations/{location}/customJobs/{custom_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/CustomJob"
+    }
+  ];
+}
+
+// Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
+message ListCustomJobsRequest {
+  // Required. The resource name of the Location to list the CustomJobs from.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // The standard list filter.
+  //
+  // Supported fields:
+  //
+  //   * `display_name` supports = and !=.
+  //
+  //   * `state` supports = and !=.
+  //
+  // Some examples of using the filter are:
+  //
+  //  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+  //
+  //  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+  //
+  //  * `NOT display_name="my_job"`
+  //
+  //  * `state="JOB_STATE_FAILED"`
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
+  // [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+}
+
+// Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
+message ListCustomJobsResponse {
+  // List of CustomJobs in the requested page.
+  repeated CustomJob custom_jobs = 1;
+
+  // A token to retrieve the next page of results.
+  // Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
+  string next_page_token = 2;
+}
+
+// Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
+message DeleteCustomJobRequest {
+  // Required. The name of the CustomJob resource to be deleted.
+  // Format:
+  // `projects/{project}/locations/{location}/customJobs/{custom_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/CustomJob"
+    }
+  ];
+}
+
+// Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
+message CancelCustomJobRequest {
+  // Required. The name of the CustomJob to cancel.
+  // Format:
+  // `projects/{project}/locations/{location}/customJobs/{custom_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/CustomJob"
+    }
+  ];
+}
+
+// Request message for [DataLabelingJobService.CreateDataLabelingJob][].
+message CreateDataLabelingJobRequest {
+  // Required. The parent of the DataLabelingJob.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The DataLabelingJob to create.
+  DataLabelingJob data_labeling_job = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Request message for [DataLabelingJobService.GetDataLabelingJob][].
+message GetDataLabelingJobRequest {
+  // Required. The name of the DataLabelingJob.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/DataLabelingJob"
+    }
+  ];
+}
+
+// Request message for [DataLabelingJobService.ListDataLabelingJobs][].
+message ListDataLabelingJobsRequest {
+  // Required. The parent of the DataLabelingJob.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // The standard list filter.
+  //
+  // Supported fields:
+  //
+  //   * `display_name` supports = and !=.
+  //
+  //   * `state` supports = and !=.
+  //
+  // Some examples of using the filter are:
+  //
+  //  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+  //
+  //  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+  //
+  //  * `NOT display_name="my_job"`
+  //
+  //  * `state="JOB_STATE_FAILED"`
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  string page_token = 4;
+
+  // Mask specifying which fields to read. FieldMask represents a set of
+  // symbolic field paths. For example, the mask can be `paths: "name"`. The
+  // "name" here is a field in DataLabelingJob.
+  // If this field is not set, all fields of the DataLabelingJob are returned.
+  google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order by
+  // default.
+  // Use `desc` after a field name for descending.
+  string order_by = 6;
+}
+
+// Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
+message ListDataLabelingJobsResponse {
+  // A list of DataLabelingJobs that matches the specified filter in the
+  // request.
+  repeated DataLabelingJob data_labeling_jobs = 1;
+
+  // The standard List next-page token.
+  string next_page_token = 2;
+}
+
+// Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
+message DeleteDataLabelingJobRequest {
+  // Required. The name of the DataLabelingJob to be deleted.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/DataLabelingJob"
+    }
+  ];
+}
+
+// Request message for [DataLabelingJobService.CancelDataLabelingJob][].
+message CancelDataLabelingJobRequest {
+  // Required. The name of the DataLabelingJob.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/DataLabelingJob"
+    }
+  ];
+}
+
+// Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
+message CreateHyperparameterTuningJobRequest {
+  // Required. The resource name of the Location to create the HyperparameterTuningJob in.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The HyperparameterTuningJob to create.
+  HyperparameterTuningJob hyperparameter_tuning_job = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
+message GetHyperparameterTuningJobRequest {
+  // Required. The name of the HyperparameterTuningJob resource.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/HyperparameterTuningJob"
+    }
+  ];
+}
+
+// Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
+message ListHyperparameterTuningJobsRequest {
+  // Required. The resource name of the Location to list the HyperparameterTuningJobs
+  // from. Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // The standard list filter.
+  //
+  // Supported fields:
+  //
+  //   * `display_name` supports = and !=.
+  //
+  //   * `state` supports = and !=.
+  //
+  // Some examples of using the filter are:
+  //
+  //  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+  //
+  //  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+  //
+  //  * `NOT display_name="my_job"`
+  //
+  //  * `state="JOB_STATE_FAILED"`
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
+  // [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+}
+
+// Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
+message ListHyperparameterTuningJobsResponse {
+  // List of HyperparameterTuningJobs in the requested page.
+  // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
+  repeated HyperparameterTuningJob hyperparameter_tuning_jobs = 1;
+
+  // A token to retrieve the next page of results.
+  // Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
+  // page.
+  string next_page_token = 2;
+}
+
+// Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
+message DeleteHyperparameterTuningJobRequest {
+  // Required. The name of the HyperparameterTuningJob resource to be deleted.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/HyperparameterTuningJob"
+    }
+  ];
+}
+
+// Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
+message CancelHyperparameterTuningJobRequest {
+  // Required. The name of the HyperparameterTuningJob to cancel.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/HyperparameterTuningJob"
+    }
+  ];
+}
+
+// Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
+message CreateBatchPredictionJobRequest {
+  // Required. The resource name of the Location to create the BatchPredictionJob in.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The BatchPredictionJob to create.
+  BatchPredictionJob batch_prediction_job = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
+message GetBatchPredictionJobRequest {
+  // Required. The name of the BatchPredictionJob resource.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/BatchPredictionJob"
+    }
+  ];
+}
+
+// Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
+message ListBatchPredictionJobsRequest {
+  // Required. The resource name of the Location to list the BatchPredictionJobs
+  // from. Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // The standard list filter.
+  //
+  // Supported fields:
+  //
+  //   * `display_name` supports = and !=.
+  //
+  //   * `state` supports = and !=.
+  //
+  // Some examples of using the filter are:
+  //
+  //  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
+  //
+  //  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
+  //
+  //  * `NOT display_name="my_job"`
+  //
+  //  * `state="JOB_STATE_FAILED"`
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
+  // [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+}
+
+// Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
+message ListBatchPredictionJobsResponse {
+  // List of BatchPredictionJobs in the requested page.
+  repeated BatchPredictionJob batch_prediction_jobs = 1;
+
+  // A token to retrieve the next page of results.
+  // Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
+  // page.
+  string next_page_token = 2;
+}
+
+// Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
+message DeleteBatchPredictionJobRequest {
+  // Required. The name of the BatchPredictionJob resource to be deleted.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/BatchPredictionJob"
+    }
+  ];
+}
+
+// Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
+message CancelBatchPredictionJobRequest {
+  // Required. The name of the BatchPredictionJob to cancel.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/BatchPredictionJob"
+    }
+  ];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_state.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_state.proto
new file mode 100644
index 000000000..e0a600a8b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/job_state.proto
@@ -0,0 +1,55 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "JobStateProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Describes the state of a job.
+enum JobState {
+  // The job state is unspecified.
+  JOB_STATE_UNSPECIFIED = 0;
+
+  // The job has been just created or resumed and processing has not yet begun.
+  JOB_STATE_QUEUED = 1;
+
+  // The service is preparing to run the job.
+  JOB_STATE_PENDING = 2;
+
+  // The job is in progress.
+  JOB_STATE_RUNNING = 3;
+
+  // The job completed successfully.
+  JOB_STATE_SUCCEEDED = 4;
+
+  // The job failed.
+  JOB_STATE_FAILED = 5;
+
+  // The job is being cancelled. From this state the job may only go to
+  // either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
+  JOB_STATE_CANCELLING = 6;
+
+  // The job has been cancelled.
+  JOB_STATE_CANCELLED = 7;
+
+  // The job has been stopped, and can be resumed.
+  JOB_STATE_PAUSED = 8;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto
new file mode 100644
index 000000000..f10cd4e1d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/machine_resources.proto
@@ -0,0 +1,139 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/cloud/aiplatform/v1/accelerator_type.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "MachineResourcesProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Specification of a single machine.
+message MachineSpec {
+  // Immutable. The type of the machine. For the machine types supported for prediction,
+  // see https://tinyurl.com/aip-docs/predictions/machine-types.
+  // For machine types supported for creating a custom training job, see
+  // https://tinyurl.com/aip-docs/training/configure-compute.
+  //
+  // For [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] this field is optional, and the default
+  // value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as part of
+  // [WorkerPoolSpec][google.cloud.aiplatform.v1.WorkerPoolSpec] this field is required.
+  string machine_type = 1 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. The type of accelerator(s) that may be attached to the machine as per
+  // [accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count].
+  AcceleratorType accelerator_type = 2 [(google.api.field_behavior) = IMMUTABLE];
+
+  // The number of accelerators to attach to the machine.
+  int32 accelerator_count = 3;
+}
+
+// A description of resources that are dedicated to a DeployedModel, and
+// that need a higher degree of manual configuration.
+message DedicatedResources {
+  // Required. Immutable. The specification of a single machine used by the prediction.
+  MachineSpec machine_spec = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.field_behavior) = IMMUTABLE
+  ];
+
+  // Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
+  // deployed on. If traffic against it increases, it may dynamically be
+  // deployed onto more replicas, and as traffic decreases, some of these extra
+  // replicas may be freed.
+  // Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count] is
+  // above 0, currently the model will be always deployed precisely on
+  // [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count].
+  int32 min_replica_count = 2 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.field_behavior) = IMMUTABLE
+  ];
+
+  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+  // the traffic against it increases. If the requested value is too large,
+  // the deployment will error, but if deployment succeeds then the ability
+  // to scale the model to that many replicas is guaranteed (barring service
+  // outages). If traffic against the DeployedModel increases beyond what its
+  // replicas at maximum may handle, a portion of the traffic will be dropped.
+  // If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count] as the
+  // default value.
+  int32 max_replica_count = 3 [(google.api.field_behavior) = IMMUTABLE];
+}
+
+// A description of resources that to large degree are decided by AI Platform,
+// and require only a modest additional configuration.
+// Each Model supporting these resources documents its specific guidelines.
+message AutomaticResources {
+  // Immutable. The minimum number of replicas this DeployedModel will be always deployed
+  // on. If traffic against it increases, it may dynamically be deployed onto
+  // more replicas up to [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count], and as traffic decreases, some
+  // of these extra replicas may be freed.
+  // If the requested value is too large, the deployment will error.
+  int32 min_replica_count = 1 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. The maximum number of replicas this DeployedModel may be deployed on when
+  // the traffic against it increases. If the requested value is too large,
+  // the deployment will error, but if deployment succeeds then the ability
+  // to scale the model to that many replicas is guaranteed (barring service
+  // outages). If traffic against the DeployedModel increases beyond what its
+  // replicas at maximum may handle, a portion of the traffic will be dropped.
+  // If this value is not provided, a no upper bound for scaling under heavy
+  // traffic will be assume, though AI Platform may be unable to scale beyond
+  // certain replica number.
+  int32 max_replica_count = 2 [(google.api.field_behavior) = IMMUTABLE];
+}
+
+// A description of resources that are used for performing batch operations, are
+// dedicated to a Model, and need manual configuration.
+message BatchDedicatedResources {
+  // Required. Immutable. The specification of a single machine.
+  MachineSpec machine_spec = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.field_behavior) = IMMUTABLE
+  ];
+
+  // Immutable. The number of machine replicas used at the start of the batch operation.
+  // If not set, AI Platform decides starting number, not greater than
+  // [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
+  int32 starting_replica_count = 2 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. The maximum number of machine replicas the batch operation may be scaled
+  // to. The default value is 10.
+  int32 max_replica_count = 3 [(google.api.field_behavior) = IMMUTABLE];
+}
+
+// Statistics information about resource consumption.
+message ResourcesConsumed {
+  // Output only. The number of replica hours used. Note that many replicas may run in
+  // parallel, and additionally any given work may be queued for some time.
+  // Therefore this value is not strictly related to wall time.
+  double replica_hours = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
+// Represents the spec of disk options.
+message DiskSpec {
+  // Type of the boot disk (default is "pd-ssd").
+  // Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
+  // "pd-standard" (Persistent Disk Hard Disk Drive).
+  string boot_disk_type = 1;
+
+  // Size in GB of the boot disk (default is 100GB).
+  int32 boot_disk_size_gb = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
new file mode 100644
index 000000000..da258a7bc
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto
@@ -0,0 +1,37 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ManualBatchTuningParametersProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Manual batch tuning parameters.
+message ManualBatchTuningParameters {
+  // Immutable. The number of the records (e.g. instances) of the operation given in
+  // each batch to a machine replica. Machine type, and size of a single
+  // record should be considered when setting this parameter, higher value
+  // speeds up the batch operation's execution, but too high value will result
+  // in a whole batch not fitting in a machine's memory, and the whole
+  // operation will fail.
+  // The default value is 4.
+  int32 batch_size = 1 [(google.api.field_behavior) = IMMUTABLE];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto
new file mode 100644
index 000000000..9e126901b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migratable_resource.proto
@@ -0,0 +1,148 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "MigratableResourceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+option (google.api.resource_definition) = {
+  type: "ml.googleapis.com/Version"
+  pattern: "projects/{project}/models/{model}/versions/{version}"
+};
+option (google.api.resource_definition) = {
+  type: "automl.googleapis.com/Model"
+  pattern: "projects/{project}/locations/{location}/models/{model}"
+};
+option (google.api.resource_definition) = {
+  type: "automl.googleapis.com/Dataset"
+  pattern: "projects/{project}/locations/{location}/datasets/{dataset}"
+};
+option (google.api.resource_definition) = {
+  type: "datalabeling.googleapis.com/Dataset"
+  pattern: "projects/{project}/datasets/{dataset}"
+};
+option (google.api.resource_definition) = {
+  type: "datalabeling.googleapis.com/AnnotatedDataset"
+  pattern: "projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}"
+};
+
+// Represents one resource that exists in automl.googleapis.com,
+// datalabeling.googleapis.com or ml.googleapis.com.
+message MigratableResource {
+  // Represents one model Version in ml.googleapis.com.
+  message MlEngineModelVersion {
+    // The ml.googleapis.com endpoint that this model Version currently lives
+    // in.
+    // Example values:
+    //
+    // * ml.googleapis.com
+    // * us-centrall-ml.googleapis.com
+    // * europe-west4-ml.googleapis.com
+    // * asia-east1-ml.googleapis.com
+    string endpoint = 1;
+
+    // Full resource name of ml engine model Version.
+    // Format: `projects/{project}/models/{model}/versions/{version}`.
+    string version = 2 [(google.api.resource_reference) = {
+                          type: "ml.googleapis.com/Version"
+                        }];
+  }
+
+  // Represents one Model in automl.googleapis.com.
+  message AutomlModel {
+    // Full resource name of automl Model.
+    // Format:
+    // `projects/{project}/locations/{location}/models/{model}`.
+    string model = 1 [(google.api.resource_reference) = {
+                        type: "automl.googleapis.com/Model"
+                      }];
+
+    // The Model's display name in automl.googleapis.com.
+    string model_display_name = 3;
+  }
+
+  // Represents one Dataset in automl.googleapis.com.
+  message AutomlDataset {
+    // Full resource name of automl Dataset.
+    // Format:
+    // `projects/{project}/locations/{location}/datasets/{dataset}`.
+    string dataset = 1 [(google.api.resource_reference) = {
+                          type: "automl.googleapis.com/Dataset"
+                        }];
+
+    // The Dataset's display name in automl.googleapis.com.
+    string dataset_display_name = 4;
+  }
+
+  // Represents one Dataset in datalabeling.googleapis.com.
+  message DataLabelingDataset {
+    // Represents one AnnotatedDataset in datalabeling.googleapis.com.
+    message DataLabelingAnnotatedDataset {
+      // Full resource name of data labeling AnnotatedDataset.
+      // Format:
+      //
+      // `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+      string annotated_dataset = 1 [(google.api.resource_reference) = {
+                                      type: "datalabeling.googleapis.com/AnnotatedDataset"
+                                    }];
+
+      // The AnnotatedDataset's display name in datalabeling.googleapis.com.
+      string annotated_dataset_display_name = 3;
+    }
+
+    // Full resource name of data labeling Dataset.
+    // Format:
+    // `projects/{project}/datasets/{dataset}`.
+    string dataset = 1 [(google.api.resource_reference) = {
+                          type: "datalabeling.googleapis.com/Dataset"
+                        }];
+
+    // The Dataset's display name in datalabeling.googleapis.com.
+    string dataset_display_name = 4;
+
+    // The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
+    // the data labeling Dataset.
+    repeated DataLabelingAnnotatedDataset data_labeling_annotated_datasets = 3;
+  }
+
+  oneof resource {
+    // Output only. Represents one Version in ml.googleapis.com.
+    MlEngineModelVersion ml_engine_model_version = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. Represents one Model in automl.googleapis.com.
+    AutomlModel automl_model = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. Represents one Dataset in automl.googleapis.com.
+    AutomlDataset automl_dataset = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. Represents one Dataset in datalabeling.googleapis.com.
+    DataLabelingDataset data_labeling_dataset = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+  }
+
+  // Output only. Timestamp when the last migration attempt on this MigratableResource started.
+  // Will not be set if there's no migration attempt on this MigratableResource.
+  google.protobuf.Timestamp last_migrate_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this MigratableResource was last updated.
+  google.protobuf.Timestamp last_update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto
new file mode 100644
index 000000000..353bcd619
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/migration_service.proto
@@ -0,0 +1,311 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/cloud/aiplatform/v1/dataset.proto";
+import "google/cloud/aiplatform/v1/model.proto";
+import "google/api/annotations.proto";
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/migratable_resource.proto";
+import "google/cloud/aiplatform/v1/operation.proto";
+import "google/longrunning/operations.proto";
+import "google/rpc/status.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "MigrationServiceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A service that migrates resources from automl.googleapis.com,
+// datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+service MigrationService {
+  option (google.api.default_host) = "aiplatform.googleapis.com";
+  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+
+  // Searches all of the resources in automl.googleapis.com,
+  // datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
+  // AI Platform's given location.
+  rpc SearchMigratableResources(SearchMigratableResourcesRequest) returns (SearchMigratableResourcesResponse) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/migratableResources:search"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
+  // and datalabeling.googleapis.com to AI Platform (Unified).
+  rpc BatchMigrateResources(BatchMigrateResourcesRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/migratableResources:batchMigrate"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent,migrate_resource_requests";
+    option (google.longrunning.operation_info) = {
+      response_type: "BatchMigrateResourcesResponse"
+      metadata_type: "BatchMigrateResourcesOperationMetadata"
+    };
+  }
+}
+
+// Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+message SearchMigratableResourcesRequest {
+  // Required. The location that the migratable resources should be searched from.
+  // It's the AI Platform location that the resources can be migrated to, not
+  // the resources' original location.
+  // Format:
+  // `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // The standard page size.
+  // The default and maximum value is 100.
+  int32 page_size = 2;
+
+  // The standard page token.
+  string page_token = 3;
+
+  // Supported filters are:
+  // * Resource type: For a specific type of MigratableResource.
+  //   * `ml_engine_model_version:*`
+  //   * `automl_model:*`,
+  //   * `automl_dataset:*`
+  //   * `data_labeling_dataset:*`.
+  // * Migrated or not: Filter migrated resource or not by last_migrate_time.
+  //   * `last_migrate_time:*` will filter migrated resources.
+  //   * `NOT last_migrate_time:*` will filter not yet migrated resources.
+  string filter = 4;
+}
+
+// Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
+message SearchMigratableResourcesResponse {
+  // All migratable resources that can be migrated to the
+  // location specified in the request.
+  repeated MigratableResource migratable_resources = 1;
+
+  // The standard next-page token.
+  // The migratable_resources may not fill page_size in
+  // SearchMigratableResourcesRequest even when there are subsequent pages.
+  string next_page_token = 2;
+}
+
+// Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+message BatchMigrateResourcesRequest {
+  // Required. The location of the migrated resource will live in.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The request messages specifying the resources to migrate.
+  // They must be in the same location as the destination.
+  // Up to 50 resources can be migrated in one batch.
+  repeated MigrateResourceRequest migrate_resource_requests = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Config of migrating one resource from automl.googleapis.com,
+// datalabeling.googleapis.com and ml.googleapis.com to AI Platform.
+message MigrateResourceRequest {
+  // Config for migrating version in ml.googleapis.com to AI Platform's Model.
+  message MigrateMlEngineModelVersionConfig {
+    // Required. The ml.googleapis.com endpoint that this model version should be migrated
+    // from.
+    // Example values:
+    //
+    // * ml.googleapis.com
+    //
+    // * us-centrall-ml.googleapis.com
+    //
+    // * europe-west4-ml.googleapis.com
+    //
+    // * asia-east1-ml.googleapis.com
+    string endpoint = 1 [(google.api.field_behavior) = REQUIRED];
+
+    // Required. Full resource name of ml engine model version.
+    // Format: `projects/{project}/models/{model}/versions/{version}`.
+    string model_version = 2 [
+      (google.api.field_behavior) = REQUIRED,
+      (google.api.resource_reference) = {
+        type: "ml.googleapis.com/Version"
+      }
+    ];
+
+    // Required. Display name of the model in AI Platform.
+    // System will pick a display name if unspecified.
+    string model_display_name = 3 [(google.api.field_behavior) = REQUIRED];
+  }
+
+  // Config for migrating Model in automl.googleapis.com to AI Platform's Model.
+  message MigrateAutomlModelConfig {
+    // Required. Full resource name of automl Model.
+    // Format:
+    // `projects/{project}/locations/{location}/models/{model}`.
+    string model = 1 [
+      (google.api.field_behavior) = REQUIRED,
+      (google.api.resource_reference) = {
+        type: "automl.googleapis.com/Model"
+      }
+    ];
+
+    // Optional. Display name of the model in AI Platform.
+    // System will pick a display name if unspecified.
+    string model_display_name = 2 [(google.api.field_behavior) = OPTIONAL];
+  }
+
+  // Config for migrating Dataset in automl.googleapis.com to AI Platform's
+  // Dataset.
+  message MigrateAutomlDatasetConfig {
+    // Required. Full resource name of automl Dataset.
+    // Format:
+    // `projects/{project}/locations/{location}/datasets/{dataset}`.
+    string dataset = 1 [
+      (google.api.field_behavior) = REQUIRED,
+      (google.api.resource_reference) = {
+        type: "automl.googleapis.com/Dataset"
+      }
+    ];
+
+    // Required. Display name of the Dataset in AI Platform.
+    // System will pick a display name if unspecified.
+    string dataset_display_name = 2 [(google.api.field_behavior) = REQUIRED];
+  }
+
+  // Config for migrating Dataset in datalabeling.googleapis.com to AI
+  // Platform's Dataset.
+  message MigrateDataLabelingDatasetConfig {
+    // Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
+    // AI Platform's SavedQuery.
+    message MigrateDataLabelingAnnotatedDatasetConfig {
+      // Required. Full resource name of data labeling AnnotatedDataset.
+      // Format:
+      //
+      // `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
+      string annotated_dataset = 1 [
+        (google.api.field_behavior) = REQUIRED,
+        (google.api.resource_reference) = {
+          type: "datalabeling.googleapis.com/AnnotatedDataset"
+        }
+      ];
+    }
+
+    // Required. Full resource name of data labeling Dataset.
+    // Format:
+    // `projects/{project}/datasets/{dataset}`.
+    string dataset = 1 [
+      (google.api.field_behavior) = REQUIRED,
+      (google.api.resource_reference) = {
+        type: "datalabeling.googleapis.com/Dataset"
+      }
+    ];
+
+    // Optional. Display name of the Dataset in AI Platform.
+    // System will pick a display name if unspecified.
+    string dataset_display_name = 2 [(google.api.field_behavior) = OPTIONAL];
+
+    // Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
+    // AI Platform's SavedQuery. The specified AnnotatedDatasets have to belong
+    // to the datalabeling Dataset.
+    repeated MigrateDataLabelingAnnotatedDatasetConfig migrate_data_labeling_annotated_dataset_configs = 3 [(google.api.field_behavior) = OPTIONAL];
+  }
+
+  oneof request {
+    // Config for migrating Version in ml.googleapis.com to AI Platform's Model.
+    MigrateMlEngineModelVersionConfig migrate_ml_engine_model_version_config = 1;
+
+    // Config for migrating Model in automl.googleapis.com to AI Platform's
+    // Model.
+    MigrateAutomlModelConfig migrate_automl_model_config = 2;
+
+    // Config for migrating Dataset in automl.googleapis.com to AI Platform's
+    // Dataset.
+    MigrateAutomlDatasetConfig migrate_automl_dataset_config = 3;
+
+    // Config for migrating Dataset in datalabeling.googleapis.com to
+    // AI Platform's Dataset.
+    MigrateDataLabelingDatasetConfig migrate_data_labeling_dataset_config = 4;
+  }
+}
+
+// Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+message BatchMigrateResourcesResponse {
+  // Successfully migrated resources.
+  repeated MigrateResourceResponse migrate_resource_responses = 1;
+}
+
+// Describes a successfully migrated resource.
+message MigrateResourceResponse {
+  // After migration, the resource name in AI Platform.
+  oneof migrated_resource {
+    // Migrated Dataset's resource name.
+    string dataset = 1 [(google.api.resource_reference) = {
+                          type: "aiplatform.googleapis.com/Dataset"
+                        }];
+
+    // Migrated Model's resource name.
+    string model = 2 [(google.api.resource_reference) = {
+                        type: "aiplatform.googleapis.com/Model"
+                      }];
+  }
+
+  // Before migration, the identifier in ml.googleapis.com,
+  // automl.googleapis.com or datalabeling.googleapis.com.
+  MigratableResource migratable_resource = 3;
+}
+
+// Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
+message BatchMigrateResourcesOperationMetadata {
+  // Represents a partial result in batch migration operation for one
+  // [MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
+  message PartialResult {
+    // If the resource's migration is ongoing, none of the result will be set.
+    // If the resource's migration is finished, either error or one of the
+    // migrated resource name will be filled.
+    oneof result {
+      // The error result of the migration request in case of failure.
+      google.rpc.Status error = 2;
+
+      // Migrated model resource name.
+      string model = 3 [(google.api.resource_reference) = {
+                          type: "aiplatform.googleapis.com/Model"
+                        }];
+
+      // Migrated dataset resource name.
+      string dataset = 4 [(google.api.resource_reference) = {
+                            type: "aiplatform.googleapis.com/Dataset"
+                          }];
+    }
+
+    // It's the same as the value in
+    // [MigrateResourceRequest.migrate_resource_requests][].
+    MigrateResourceRequest request = 1;
+  }
+
+  // The common part of the operation metadata.
+  GenericOperationMetadata generic_metadata = 1;
+
+  // Partial results that reflect the latest migration operation progress.
+  repeated PartialResult partial_results = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model.proto
new file mode 100644
index 000000000..cf003c645
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model.proto
@@ -0,0 +1,524 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/dataset.proto";
+import "google/cloud/aiplatform/v1/deployed_model_ref.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/env_var.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ModelProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A trained machine learning Model.
+message Model {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Model"
+    pattern: "projects/{project}/locations/{location}/models/{model}"
+  };
+
+  // Represents export format supported by the Model.
+  // All formats export to Google Cloud Storage.
+  message ExportFormat {
+    // The Model content that can be exported.
+    enum ExportableContent {
+      // Should not be used.
+      EXPORTABLE_CONTENT_UNSPECIFIED = 0;
+
+      // Model artifact and any of its supported files. Will be exported to the
+      // location specified by the `artifactDestination` field of the
+      // [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+      ARTIFACT = 1;
+
+      // The container image that is to be used when deploying this Model. Will
+      // be exported to the location specified by the `imageDestination` field
+      // of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config] object.
+      IMAGE = 2;
+    }
+
+    // Output only. The ID of the export format.
+    // The possible format IDs are:
+    //
+    // * `tflite`
+    // Used for Android mobile devices.
+    //
+    // * `edgetpu-tflite`
+    // Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
+    //
+    // * `tf-saved-model`
+    // A tensorflow model in SavedModel format.
+    //
+    // * `tf-js`
+    // A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
+    // in the browser and in Node.js using JavaScript.
+    //
+    // * `core-ml`
+    // Used for iOS mobile devices.
+    //
+    // * `custom-trained`
+    // A Model that was uploaded or trained by custom code.
+    string id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. The content of this Model that may be exported.
+    repeated ExportableContent exportable_contents = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  }
+
+  // Identifies a type of Model's prediction resources.
+  enum DeploymentResourcesType {
+    // Should not be used.
+    DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED = 0;
+
+    // Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need a
+    // higher degree of manual configuration.
+    DEDICATED_RESOURCES = 1;
+
+    // Resources that to large degree are decided by AI Platform, and require
+    // only a modest additional configuration.
+    AUTOMATIC_RESOURCES = 2;
+  }
+
+  // The resource name of the Model.
+  string name = 1;
+
+  // Required. The display name of the Model.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // The description of the Model.
+  string description = 3;
+
+  // The schemata that describe formats of the Model's predictions and
+  // explanations as given and returned via
+  // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][].
+  PredictSchemata predict_schemata = 4;
+
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
+  // information about the Model, that is specific to it. Unset if the Model
+  // does not have any additional information.
+  // The schema is defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // AutoML Models always have this field populated by AI Platform, if no
+  // additional metadata is needed, this field is set to an empty string.
+  // Note: The URI given on output will be immutable and probably different,
+  // including the URI scheme, than the one given on input. The output URI will
+  // point to a location where the user only has a read access.
+  string metadata_schema_uri = 5 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. An additional information about the Model; the schema of the metadata can
+  // be found in [metadata_schema][google.cloud.aiplatform.v1.Model.metadata_schema_uri].
+  // Unset if the Model does not have any additional information.
+  google.protobuf.Value metadata = 6 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Output only. The formats in which this Model may be exported. If empty, this Model is
+  // not available for export.
+  repeated ExportFormat supported_export_formats = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
+  string training_pipeline = 7 [
+    (google.api.field_behavior) = OUTPUT_ONLY,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/TrainingPipeline"
+    }
+  ];
+
+  // Input only. The specification of the container that is to be used when deploying
+  // this Model. The specification is ingested upon
+  // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], and all binaries it contains are copied
+  // and stored internally by AI Platform.
+  // Not present for AutoML Models.
+  ModelContainerSpec container_spec = 9 [(google.api.field_behavior) = INPUT_ONLY];
+
+  // Immutable. The path to the directory containing the Model artifact and any of its
+  // supporting files.
+  // Not present for AutoML Models.
+  string artifact_uri = 26 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Output only. When this Model is deployed, its prediction resources are described by the
+  // `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] object.
+  // Because not all Models support all resource configuration types, the
+  // configuration types this Model supports are listed here. If no
+  // configuration types are listed, the Model cannot be deployed to an
+  // [Endpoint][google.cloud.aiplatform.v1.Endpoint] and does not support
+  // online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+  // [PredictionService.Explain][]). Such a Model can serve predictions by
+  // using a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob], if it has at least one entry each in
+  // [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] and
+  // [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
+  repeated DeploymentResourcesType supported_deployment_resources_types = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The formats this Model supports in
+  // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
+  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] exists, the instances
+  // should be given as per that schema.
+  //
+  // The possible formats are:
+  //
+  // * `jsonl`
+  // The JSON Lines format, where each instance is a single line. Uses
+  // [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+  //
+  // * `csv`
+  // The CSV format, where each instance is a single comma-separated line.
+  // The first line in the file is the header, containing comma-separated field
+  // names. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+  //
+  // * `tf-record`
+  // The TFRecord format, where each instance is a single record in tfrecord
+  // syntax. Uses [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+  //
+  // * `tf-record-gzip`
+  // Similar to `tf-record`, but the file is gzipped. Uses
+  // [GcsSource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.gcs_source].
+  //
+  // * `bigquery`
+  // Each instance is a single row in BigQuery. Uses
+  // [BigQuerySource][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.bigquery_source].
+  //
+  // * `file-list`
+  // Each line of the file is the location of an instance to process, uses
+  // `gcs_source` field of the
+  // [InputConfig][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig] object.
+  //
+  //
+  // If this Model doesn't support any of these formats it means it cannot be
+  // used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+  // predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+  // [PredictionService.Explain][].
+  repeated string supported_input_storage_formats = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The formats this Model supports in
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]. If both
+  // [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] and
+  // [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri] exist, the predictions
+  // are returned together with their instances. In other words, the
+  // prediction has the original instance data first, followed
+  // by the actual prediction content (as per the schema).
+  //
+  // The possible formats are:
+  //
+  // * `jsonl`
+  // The JSON Lines format, where each prediction is a single line. Uses
+  // [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+  //
+  // * `csv`
+  // The CSV format, where each prediction is a single comma-separated line.
+  // The first line in the file is the header, containing comma-separated field
+  // names. Uses
+  // [GcsDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.gcs_destination].
+  //
+  // * `bigquery`
+  // Each prediction is a single row in a BigQuery table, uses
+  // [BigQueryDestination][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.bigquery_destination]
+  // .
+  //
+  //
+  // If this Model doesn't support any of these formats it means it cannot be
+  // used with a [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. However, if it has
+  // [supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types], it could serve online
+  // predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] or
+  // [PredictionService.Explain][].
+  repeated string supported_output_storage_formats = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this Model was uploaded into AI Platform.
+  google.protobuf.Timestamp create_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this Model was most recently updated.
+  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The pointers to DeployedModels created from this Model. Note that
+  // Model could have been deployed to Endpoints in different Locations.
+  repeated DeployedModelRef deployed_models = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Used to perform consistent read-modify-write updates. If not set, a blind
+  // "overwrite" update happens.
+  string etag = 16;
+
+  // The labels with user-defined metadata to organize your Models.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  map<string, string> labels = 17;
+
+  // Customer-managed encryption key spec for a Model. If set, this
+  // Model and all sub-resources of this Model will be secured by this key.
+  EncryptionSpec encryption_spec = 24;
+}
+
+// Contains the schemata used in Model's predictions and explanations via
+// [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][] and
+// [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
+message PredictSchemata {
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+  // of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
+  // [ExplainRequest.instances][] and
+  // [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
+  // The schema is defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // AutoML Models always have this field populated by AI Platform.
+  // Note: The URI given on output will be immutable and probably different,
+  // including the URI scheme, than the one given on input. The output URI will
+  // point to a location where the user only has a read access.
+  string instance_schema_uri = 1 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the
+  // parameters of prediction and explanation via
+  // [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters], [ExplainRequest.parameters][] and
+  // [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
+  // The schema is defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // AutoML Models always have this field populated by AI Platform, if no
+  // parameters are supported, then it is set to an empty string.
+  // Note: The URI given on output will be immutable and probably different,
+  // including the URI scheme, than the one given on input. The output URI will
+  // point to a location where the user only has a read access.
+  string parameters_schema_uri = 2 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
+  // of a single prediction produced by this Model, which are returned via
+  // [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions], [ExplainResponse.explanations][], and
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
+  // The schema is defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // AutoML Models always have this field populated by AI Platform.
+  // Note: The URI given on output will be immutable and probably different,
+  // including the URI scheme, than the one given on input. The output URI will
+  // point to a location where the user only has a read access.
+  string prediction_schema_uri = 3 [(google.api.field_behavior) = IMMUTABLE];
+}
+
+// Specification of a container for serving predictions. This message is a
+// subset of the Kubernetes Container v1 core
+// [specification](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+message ModelContainerSpec {
+  // Required. Immutable. URI of the Docker image to be used as the custom container for serving
+  // predictions. This URI must identify an image in Artifact Registry or
+  // Container Registry. Learn more about the container publishing
+  // requirements, including permissions requirements for the AI Platform
+  // Service Agent,
+  // [here](https://tinyurl.com/cust-cont-reqs#publishing).
+  //
+  // The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], stored
+  // internally, and this original path is afterwards not used.
+  //
+  // To learn about the requirements for the Docker image itself, see
+  // [Custom container requirements](https://tinyurl.com/cust-cont-reqs).
+  string image_uri = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.field_behavior) = IMMUTABLE
+  ];
+
+  // Immutable. Specifies the command that runs when the container starts. This overrides
+  // the container's
+  // [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
+  // Specify this field as an array of executable and arguments, similar to a
+  // Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
+  //
+  // If you do not specify this field, then the container's `ENTRYPOINT` runs,
+  // in conjunction with the [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
+  // container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
+  // if either exists. If this field is not specified and the container does not
+  // have an `ENTRYPOINT`, then refer to the Docker documentation about how
+  // `CMD` and `ENTRYPOINT`
+  // [interact](https://tinyurl.com/h3kdcgs).
+  //
+  // If you specify this field, then you can also specify the `args` field to
+  // provide additional arguments for this command. However, if you specify this
+  // field, then the container's `CMD` is ignored. See the
+  // [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+  // `command` and `args` fields interact with a container's `ENTRYPOINT` and
+  // `CMD`.
+  //
+  // In this field, you can reference environment variables
+  // [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+  // and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+  // You cannot reference environment variables set in the Docker image. In
+  // order for environment variables to be expanded, reference them by using the
+  // following syntax:
+  // <code>$(<var>VARIABLE_NAME</var>)</code>
+  // Note that this differs from Bash variable expansion, which does not use
+  // parentheses. If a variable cannot be resolved, the reference in the input
+  // string is used unchanged. To avoid variable expansion, you can escape this
+  // syntax with `$$`; for example:
+  // <code>$$(<var>VARIABLE_NAME</var>)</code>
+  // This field corresponds to the `command` field of the Kubernetes Containers
+  // [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+  repeated string command = 2 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. Specifies arguments for the command that runs when the container starts.
+  // This overrides the container's
+  // [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
+  // this field as an array of executable and arguments, similar to a Docker
+  // `CMD`'s "default parameters" form.
+  //
+  // If you don't specify this field but do specify the
+  // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, then the command from the
+  // `command` field runs without any additional arguments. See the
+  // [Kubernetes documentation](https://tinyurl.com/y8bvllf4) about how the
+  // `command` and `args` fields interact with a container's `ENTRYPOINT` and
+  // `CMD`.
+  //
+  // If you don't specify this field and don't specify the `command` field,
+  // then the container's
+  // [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
+  // `CMD` determine what runs based on their default behavior. See the Docker
+  // documentation about how `CMD` and `ENTRYPOINT`
+  // [interact](https://tinyurl.com/h3kdcgs).
+  //
+  // In this field, you can reference environment variables
+  // [set by AI Platform](https://tinyurl.com/cust-cont-reqs#aip-variables)
+  // and environment variables set in the [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field.
+  // You cannot reference environment variables set in the Docker image. In
+  // order for environment variables to be expanded, reference them by using the
+  // following syntax:
+  // <code>$(<var>VARIABLE_NAME</var>)</code>
+  // Note that this differs from Bash variable expansion, which does not use
+  // parentheses. If a variable cannot be resolved, the reference in the input
+  // string is used unchanged. To avoid variable expansion, you can escape this
+  // syntax with `$$`; for example:
+  // <code>$$(<var>VARIABLE_NAME</var>)</code>
+  // This field corresponds to the `args` field of the Kubernetes Containers
+  // [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+  repeated string args = 3 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. List of environment variables to set in the container. After the container
+  // starts running, code running in the container can read these environment
+  // variables.
+  //
+  // Additionally, the [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
+  // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can reference these variables. Later
+  // entries in this list can also reference earlier entries. For example, the
+  // following example sets the variable `VAR_2` to have the value `foo bar`:
+  //
+  // ```json
+  // [
+  //   {
+  //     "name": "VAR_1",
+  //     "value": "foo"
+  //   },
+  //   {
+  //     "name": "VAR_2",
+  //     "value": "$(VAR_1) bar"
+  //   }
+  // ]
+  // ```
+  //
+  // If you switch the order of the variables in the example, then the expansion
+  // does not occur.
+  //
+  // This field corresponds to the `env` field of the Kubernetes Containers
+  // [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+  repeated EnvVar env = 4 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. List of ports to expose from the container. AI Platform sends any
+  // prediction requests that it receives to the first port on this list. AI
+  // Platform also sends
+  // [liveness and health checks](https://tinyurl.com/cust-cont-reqs#health)
+  // to this port.
+  //
+  // If you do not specify this field, it defaults to following value:
+  //
+  // ```json
+  // [
+  //   {
+  //     "containerPort": 8080
+  //   }
+  // ]
+  // ```
+  //
+  // AI Platform does not use ports other than the first one listed. This field
+  // corresponds to the `ports` field of the Kubernetes Containers
+  // [v1 core API](https://tinyurl.com/k8s-io-api/v1.18/#container-v1-core).
+  repeated Port ports = 5 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. HTTP path on the container to send prediction requests to. AI Platform
+  // forwards requests sent using
+  // [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] to this
+  // path on the container's IP address and port. AI Platform then returns the
+  // container's response in the API response.
+  //
+  // For example, if you set this field to `/foo`, then when AI Platform
+  // receives a prediction request, it forwards the request body in a POST
+  // request to the `/foo` path on the port of your container specified by the
+  // first value of this `ModelContainerSpec`'s
+  // [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+  //
+  // If you don't specify this field, it defaults to the following value when
+  // you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+  // <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
+  // The placeholders in this value are replaced as follows:
+  //
+  // * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
+  //   Endpoint.name][] field of the Endpoint where this Model has been
+  //   deployed. (AI Platform makes this value available to your container code
+  //   as the
+  //  [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+  //  environment variable.)
+  //
+  // * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+  //   (AI Platform makes this value available to your container code
+  //   as the [`AIP_DEPLOYED_MODEL_ID` environment
+  //   variable](https://tinyurl.com/cust-cont-reqs#aip-variables).)
+  string predict_route = 6 [(google.api.field_behavior) = IMMUTABLE];
+
+  // Immutable. HTTP path on the container to send health checks to. AI Platform
+  // intermittently sends GET requests to this path on the container's IP
+  // address and port to check that the container is healthy. Read more about
+  // [health
+  // checks](https://tinyurl.com/cust-cont-reqs#checks).
+  //
+  // For example, if you set this field to `/bar`, then AI Platform
+  // intermittently sends a GET request to the `/bar` path on the port of your
+  // container specified by the first value of this `ModelContainerSpec`'s
+  // [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
+  //
+  // If you don't specify this field, it defaults to the following value when
+  // you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
+  // <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
+  // The placeholders in this value are replaced as follows:
+  //
+  // * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
+  //   Endpoint.name][] field of the Endpoint where this Model has been
+  //   deployed. (AI Platform makes this value available to your container code
+  //   as the
+  //   [`AIP_ENDPOINT_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+  //   environment variable.)
+  //
+  // * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the `DeployedModel`.
+  //   (AI Platform makes this value available to your container code as the
+  // [`AIP_DEPLOYED_MODEL_ID`](https://tinyurl.com/cust-cont-reqs#aip-variables)
+  //   environment variable.)
+  string health_route = 7 [(google.api.field_behavior) = IMMUTABLE];
+}
+
+// Represents a network port in a container.
+message Port {
+  // The number of the port to expose on the pod's IP address.
+  // Must be a valid port number, between 1 and 65535 inclusive.
+  int32 container_port = 3;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto
new file mode 100644
index 000000000..6596a4fc2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation.proto
@@ -0,0 +1,59 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ModelEvaluationProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A collection of metrics calculated by comparing Model's predictions on all of
+// the test data against annotations from the test data.
+message ModelEvaluation {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/ModelEvaluation"
+    pattern: "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}"
+  };
+
+  // Output only. The resource name of the ModelEvaluation.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Points to a YAML file stored on Google Cloud Storage describing the
+  // [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
+  // defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  string metrics_schema_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+  // [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
+  google.protobuf.Value metrics = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this ModelEvaluation was created.
+  google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+  // ModelEvaluationSlices. The dimensions can be used as the filter of the
+  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
+  // `slice.dimension = <dimension>`.
+  repeated string slice_dimensions = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto
new file mode 100644
index 000000000..78656ed7a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_evaluation_slice.proto
@@ -0,0 +1,69 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ModelEvaluationSliceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A collection of metrics calculated by comparing Model's predictions on a
+// slice of the test data against ground truth annotations.
+message ModelEvaluationSlice {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/ModelEvaluationSlice"
+    pattern: "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}"
+  };
+
+  // Definition of a slice.
+  message Slice {
+    // Output only. The dimension of the slice.
+    // Well-known dimensions are:
+    //   * `annotationSpec`: This slice is on the test data that has either
+    //     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
+    //     equals to [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+    string dimension = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. The value of the dimension in this slice.
+    string value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  }
+
+  // Output only. The resource name of the ModelEvaluationSlice.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The slice of the test data that is used to evaluate the Model.
+  Slice slice = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Points to a YAML file stored on Google Cloud Storage describing the
+  // [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
+  // schema is defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  string metrics_schema_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
+  // in [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
+  google.protobuf.Value metrics = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this ModelEvaluationSlice was created.
+  google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto
new file mode 100644
index 000000000..55c3bf99c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/model_service.proto
@@ -0,0 +1,439 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/io.proto";
+import "google/cloud/aiplatform/v1/model.proto";
+import "google/cloud/aiplatform/v1/model_evaluation.proto";
+import "google/cloud/aiplatform/v1/model_evaluation_slice.proto";
+import "google/cloud/aiplatform/v1/operation.proto";
+import "google/longrunning/operations.proto";
+import "google/protobuf/field_mask.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "ModelServiceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A service for managing AI Platform's machine learning Models.
+service ModelService {
+  option (google.api.default_host) = "aiplatform.googleapis.com";
+  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+
+  // Uploads a Model artifact into AI Platform.
+  rpc UploadModel(UploadModelRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/models:upload"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent,model";
+    option (google.longrunning.operation_info) = {
+      response_type: "UploadModelResponse"
+      metadata_type: "UploadModelOperationMetadata"
+    };
+  }
+
+  // Gets a Model.
+  rpc GetModel(GetModelRequest) returns (Model) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/models/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists Models in a Location.
+  rpc ListModels(ListModelsRequest) returns (ListModelsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/models"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Updates a Model.
+  rpc UpdateModel(UpdateModelRequest) returns (Model) {
+    option (google.api.http) = {
+      patch: "/v1/{model.name=projects/*/locations/*/models/*}"
+      body: "model"
+    };
+    option (google.api.method_signature) = "model,update_mask";
+  }
+
+  // Deletes a Model.
+  // Note: Model can only be deleted if there are no DeployedModels created
+  // from it.
+  rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/models/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Exports a trained, exportable, Model to a location specified by the
+  // user. A Model is considered to be exportable if it has at least one
+  // [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
+  rpc ExportModel(ExportModelRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/models/*}:export"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name,output_config";
+    option (google.longrunning.operation_info) = {
+      response_type: "ExportModelResponse"
+      metadata_type: "ExportModelOperationMetadata"
+    };
+  }
+
+  // Gets a ModelEvaluation.
+  rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/models/*/evaluations/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists ModelEvaluations in a Model.
+  rpc ListModelEvaluations(ListModelEvaluationsRequest) returns (ListModelEvaluationsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*/models/*}/evaluations"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Gets a ModelEvaluationSlice.
+  rpc GetModelEvaluationSlice(GetModelEvaluationSliceRequest) returns (ModelEvaluationSlice) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/models/*/evaluations/*/slices/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists ModelEvaluationSlices in a ModelEvaluation.
+  rpc ListModelEvaluationSlices(ListModelEvaluationSlicesRequest) returns (ListModelEvaluationSlicesResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+}
+
+// Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
+message UploadModelRequest {
+  // Required. The resource name of the Location into which to upload the Model.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The Model to create.
+  Model model = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+message UploadModelOperationMetadata {
+  // The common part of the operation metadata.
+  GenericOperationMetadata generic_metadata = 1;
+}
+
+// Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
+message UploadModelResponse {
+  // The name of the uploaded Model resource.
+  // Format: `projects/{project}/locations/{location}/models/{model}`
+  string model = 1 [(google.api.resource_reference) = {
+                      type: "aiplatform.googleapis.com/Model"
+                    }];
+}
+
+// Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
+message GetModelRequest {
+  // Required. The name of the Model resource.
+  // Format: `projects/{project}/locations/{location}/models/{model}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+}
+
+// Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
+message ListModelsRequest {
+  // Required. The resource name of the Location to list the Models from.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // An expression for filtering the results of the request. For field names
+  // both snake_case and camelCase are supported.
+  //
+  //   * `model` supports = and !=. `model` represents the Model ID,
+  //     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
+  //   * `display_name` supports = and !=
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `model=1234`
+  //   * `displayName="myDisplayName"`
+  //   * `labels.myKey="myValue"`
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
+  // [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] call.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  // Supported fields:
+  //   * `display_name`
+  //   * `create_time`
+  //   * `update_time`
+  //
+  // Example: `display_name, create_time desc`.
+  string order_by = 6;
+}
+
+// Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
+message ListModelsResponse {
+  // List of Models in the requested page.
+  repeated Model models = 1;
+
+  // A token to retrieve next page of results.
+  // Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token] to obtain that page.
+  string next_page_token = 2;
+}
+
+// Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
+message UpdateModelRequest {
+  // Required. The Model which replaces the resource on the server.
+  Model model = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The update mask applies to the resource.
+  // For the `FieldMask` definition, see
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
+message DeleteModelRequest {
+  // Required. The name of the Model resource to be deleted.
+  // Format: `projects/{project}/locations/{location}/models/{model}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+}
+
+// Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
+message ExportModelRequest {
+  // Output configuration for the Model export.
+  message OutputConfig {
+    // The ID of the format in which the Model must be exported. Each Model
+    // lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
+    // If no value is provided here, then the first from the list of the Model's
+    // supported formats is used by default.
+    string export_format_id = 1;
+
+    // The Cloud Storage location where the Model artifact is to be
+    // written to. Under the directory given as the destination a new one with
+    // name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
+    // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
+    // will be created. Inside, the Model and any of its supporting files
+    // will be written.
+    // This field should only be set when the `exportableContent` field of the
+    // [Model.supported_export_formats] object contains `ARTIFACT`.
+    GcsDestination artifact_destination = 3;
+
+    // The Google Container Registry or Artifact Registry uri where the
+    // Model container image will be copied to.
+    // This field should only be set when the `exportableContent` field of the
+    // [Model.supported_export_formats] object contains `IMAGE`.
+    ContainerRegistryDestination image_destination = 4;
+  }
+
+  // Required. The resource name of the Model to export.
+  // Format: `projects/{project}/locations/{location}/models/{model}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // Required. The desired output location and configuration.
+  OutputConfig output_config = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+message ExportModelOperationMetadata {
+  // Further describes the output of the ExportModel. Supplements
+  // [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].
+  message OutputInfo {
+    // Output only. If the Model artifact is being exported to Google Cloud Storage this is
+    // the full path of the directory created, into which the Model files are
+    // being written to.
+    string artifact_output_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. If the Model image is being exported to Google Container Registry or
+    // Artifact Registry this is the full path of the image created.
+    string image_output_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  }
+
+  // The common part of the operation metadata.
+  GenericOperationMetadata generic_metadata = 1;
+
+  // Output only. Information further describing the output of this Model export.
+  OutputInfo output_info = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
+// Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
+message ExportModelResponse {
+
+}
+
+// Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
+message GetModelEvaluationRequest {
+  // Required. The name of the ModelEvaluation resource.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/ModelEvaluation"
+    }
+  ];
+}
+
+// Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+message ListModelEvaluationsRequest {
+  // Required. The resource name of the Model to list the ModelEvaluations from.
+  // Format: `projects/{project}/locations/{location}/models/{model}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // The standard list filter.
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
+  // [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] call.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+}
+
+// Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
+message ListModelEvaluationsResponse {
+  // List of ModelEvaluations in the requested page.
+  repeated ModelEvaluation model_evaluations = 1;
+
+  // A token to retrieve next page of results.
+  // Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token] to obtain that page.
+  string next_page_token = 2;
+}
+
+// Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
+message GetModelEvaluationSliceRequest {
+  // Required. The name of the ModelEvaluationSlice resource.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/ModelEvaluationSlice"
+    }
+  ];
+}
+
+// Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+message ListModelEvaluationSlicesRequest {
+  // Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
+  // from. Format:
+  //
+  // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/ModelEvaluation"
+    }
+  ];
+
+  // The standard list filter.
+  //
+  //   * `slice.dimension` - for =.
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
+  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] call.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+}
+
+// Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
+message ListModelEvaluationSlicesResponse {
+  // List of ModelEvaluations in the requested page.
+  repeated ModelEvaluationSlice model_evaluation_slices = 1;
+
+  // A token to retrieve next page of results.
+  // Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token] to obtain that
+  // page.
+  string next_page_token = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto
new file mode 100644
index 000000000..e3b1d3c73
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/operation.proto
@@ -0,0 +1,50 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/protobuf/timestamp.proto";
+import "google/rpc/status.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "OperationProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Generic Metadata shared by all operations.
+message GenericOperationMetadata {
+  // Output only. Partial failures encountered.
+  // E.g. single files that couldn't be read.
+  // This field should never exceed 20 entries.
+  // Status details field will contain standard GCP error details.
+  repeated google.rpc.Status partial_failures = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the operation was created.
+  google.protobuf.Timestamp create_time = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the operation was updated for the last time.
+  // If the operation has finished (successfully or not), this is the finish
+  // time.
+  google.protobuf.Timestamp update_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
+// Details of operations that perform deletes of any entities.
+message DeleteOperationMetadata {
+  // The common part of the operation metadata.
+  GenericOperationMetadata generic_metadata = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto
new file mode 100644
index 000000000..60d06d60c
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_service.proto
@@ -0,0 +1,202 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/training_pipeline.proto";
+import "google/longrunning/operations.proto";
+import "google/protobuf/empty.proto";
+import "google/protobuf/field_mask.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "PipelineServiceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A service for creating and managing AI Platform's pipelines.
+service PipelineService {
+  option (google.api.default_host) = "aiplatform.googleapis.com";
+  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+
+  // Creates a TrainingPipeline. A created TrainingPipeline right away will be
+  // attempted to be run.
+  rpc CreateTrainingPipeline(CreateTrainingPipelineRequest) returns (TrainingPipeline) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/trainingPipelines"
+      body: "training_pipeline"
+    };
+    option (google.api.method_signature) = "parent,training_pipeline";
+  }
+
+  // Gets a TrainingPipeline.
+  rpc GetTrainingPipeline(GetTrainingPipelineRequest) returns (TrainingPipeline) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/trainingPipelines/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists TrainingPipelines in a Location.
+  rpc ListTrainingPipelines(ListTrainingPipelinesRequest) returns (ListTrainingPipelinesResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/trainingPipelines"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Deletes a TrainingPipeline.
+  rpc DeleteTrainingPipeline(DeleteTrainingPipelineRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/trainingPipelines/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Cancels a TrainingPipeline.
+  // Starts asynchronous cancellation on the TrainingPipeline. The server
+  // makes a best effort to cancel the pipeline, but success is not
+  // guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] or
+  // other methods to check whether the cancellation succeeded or whether the
+  // pipeline completed despite cancellation. On successful cancellation,
+  // the TrainingPipeline is not deleted; instead it becomes a pipeline with
+  // a [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
+  // corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] is set to
+  // `CANCELLED`.
+  rpc CancelTrainingPipeline(CancelTrainingPipelineRequest) returns (google.protobuf.Empty) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/trainingPipelines/*}:cancel"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name";
+  }
+}
+
+// Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
+message CreateTrainingPipelineRequest {
+  // Required. The resource name of the Location to create the TrainingPipeline in.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The TrainingPipeline to create.
+  TrainingPipeline training_pipeline = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
+message GetTrainingPipelineRequest {
+  // Required. The name of the TrainingPipeline resource.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/TrainingPipeline"
+    }
+  ];
+}
+
+// Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
+message ListTrainingPipelinesRequest {
+  // Required. The resource name of the Location to list the TrainingPipelines from.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // The standard list filter.
+  // Supported fields:
+  //
+  //   * `display_name` supports = and !=.
+  //
+  //   * `state` supports = and !=.
+  //
+  // Some examples of using the filter are:
+  //
+  //  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
+  //
+  //  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
+  //
+  //  * `NOT display_name="my_pipeline"`
+  //
+  //  * `state="PIPELINE_STATE_FAILED"`
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token] of the previous
+  // [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] call.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+}
+
+// Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
+message ListTrainingPipelinesResponse {
+  // List of TrainingPipelines in the requested page.
+  repeated TrainingPipeline training_pipelines = 1;
+
+  // A token to retrieve the next page of results.
+  // Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token] to obtain that page.
+  string next_page_token = 2;
+}
+
+// Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
+message DeleteTrainingPipelineRequest {
+  // Required. The name of the TrainingPipeline resource to be deleted.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/TrainingPipeline"
+    }
+  ];
+}
+
+// Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
+message CancelTrainingPipelineRequest {
+  // Required. The name of the TrainingPipeline to cancel.
+  // Format:
+  //
+  // `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/TrainingPipeline"
+    }
+  ];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_state.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_state.proto
new file mode 100644
index 000000000..42abd26f1
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/pipeline_state.proto
@@ -0,0 +1,57 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "PipelineStateProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// Describes the state of a pipeline.
+enum PipelineState {
+  // The pipeline state is unspecified.
+  PIPELINE_STATE_UNSPECIFIED = 0;
+
+  // The pipeline has been just created or resumed and processing has not yet
+  // begun.
+  PIPELINE_STATE_QUEUED = 1;
+
+  // The service is preparing to run the pipeline.
+  PIPELINE_STATE_PENDING = 2;
+
+  // The pipeline is in progress.
+  PIPELINE_STATE_RUNNING = 3;
+
+  // The pipeline completed successfully.
+  PIPELINE_STATE_SUCCEEDED = 4;
+
+  // The pipeline failed.
+  PIPELINE_STATE_FAILED = 5;
+
+  // The pipeline is being cancelled. From this state the pipeline may only go
+  // to either PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED or
+  // PIPELINE_STATE_CANCELLED.
+  PIPELINE_STATE_CANCELLING = 6;
+
+  // The pipeline has been cancelled.
+  PIPELINE_STATE_CANCELLED = 7;
+
+  // The pipeline has been stopped, and can be resumed.
+  PIPELINE_STATE_PAUSED = 8;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto
new file mode 100644
index 000000000..146c1a47a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/prediction_service.proto
@@ -0,0 +1,86 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/struct.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "PredictionServiceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A service for online predictions and explanations.
+service PredictionService {
+  option (google.api.default_host) = "aiplatform.googleapis.com";
+  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+
+  // Perform an online prediction.
+  rpc Predict(PredictRequest) returns (PredictResponse) {
+    option (google.api.http) = {
+      post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predict"
+      body: "*"
+    };
+    option (google.api.method_signature) = "endpoint,instances,parameters";
+  }
+}
+
+// Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+message PredictRequest {
+  // Required. The name of the Endpoint requested to serve the prediction.
+  // Format:
+  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
+  string endpoint = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Endpoint"
+    }
+  ];
+
+  // Required. The instances that are the input to the prediction call.
+  // A DeployedModel may have an upper limit on the number of instances it
+  // supports per request, and when it is exceeded the prediction call errors
+  // in case of AutoML Models, or, in case of customer created Models, the
+  // behaviour is as documented by that Model.
+  // The schema of any single instance may be specified via Endpoint's
+  // DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
+  // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+  // [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
+  repeated google.protobuf.Value instances = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // The parameters that govern the prediction. The schema of the parameters may
+  // be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+  // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+  // [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
+  google.protobuf.Value parameters = 3;
+}
+
+// Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
+message PredictResponse {
+  // The predictions that are the output of the predictions call.
+  // The schema of any single prediction may be specified via Endpoint's
+  // DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
+  // [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
+  // [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
+  repeated google.protobuf.Value predictions = 1;
+
+  // ID of the Endpoint's DeployedModel that served this prediction.
+  string deployed_model_id = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
new file mode 100644
index 000000000..fa34d829a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto
@@ -0,0 +1,41 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "ImageClassificationPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Image Classification.
+message ImageClassificationPredictionInstance {
+  // The image bytes or GCS URI to make the prediction on.
+  string content = 1;
+
+  // The MIME type of the content of the image. Only the images in below listed
+  // MIME types are supported.
+  // - image/jpeg
+  // - image/gif
+  // - image/png
+  // - image/webp
+  // - image/bmp
+  // - image/tiff
+  // - image/vnd.microsoft.icon
+  string mime_type = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
new file mode 100644
index 000000000..17121a34b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto
@@ -0,0 +1,41 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "ImageObjectDetectionPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Image Object Detection.
+message ImageObjectDetectionPredictionInstance {
+  // The image bytes or GCS URI to make the prediction on.
+  string content = 1;
+
+  // The MIME type of the content of the image. Only the images in below listed
+  // MIME types are supported.
+  // - image/jpeg
+  // - image/gif
+  // - image/png
+  // - image/webp
+  // - image/bmp
+  // - image/tiff
+  // - image/vnd.microsoft.icon
+  string mime_type = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
new file mode 100644
index 000000000..dec18aad8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "ImageSegmentationPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Image Segmentation.
+message ImageSegmentationPredictionInstance {
+  // The image bytes to make the predictions on.
+  string content = 1;
+
+  // The MIME type of the content of the image. Only the images in below listed
+  // MIME types are supported.
+  // - image/jpeg
+  // - image/png
+  string mime_type = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_classification.proto
new file mode 100644
index 000000000..e10d11e4d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_classification.proto
@@ -0,0 +1,35 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "TextClassificationPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Text Classification.
+message TextClassificationPredictionInstance {
+  // The text snippet to make the predictions on.
+  string content = 1;
+
+  // The MIME type of the text snippet. The supported MIME types are listed
+  // below.
+  // - text/plain
+  string mime_type = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
new file mode 100644
index 000000000..f7baf1582
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_extraction.proto
@@ -0,0 +1,42 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "TextExtractionPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Text Extraction.
+message TextExtractionPredictionInstance {
+  // The text snippet to make the predictions on.
+  string content = 1;
+
+  // The MIME type of the text snippet. The supported MIME types are listed
+  // below.
+  // - text/plain
+  string mime_type = 2;
+
+  // This field is only used for batch prediction. If a key is provided, the
+  // batch prediction result will by mapped to this key. If omitted, then the
+  // batch prediction result will contain the entire input instance. AI Platform
+  // will not check if keys in the request are duplicates, so it is up to the
+  // caller to ensure the keys are unique.
+  string key = 3;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_sentiment.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_sentiment.proto
new file mode 100644
index 000000000..927f807a4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/text_sentiment.proto
@@ -0,0 +1,35 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "TextSentimentPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Text Sentiment.
+message TextSentimentPredictionInstance {
+  // The text snippet to make the predictions on.
+  string content = 1;
+
+  // The MIME type of the text snippet. The supported MIME types are listed
+  // below.
+  // - text/plain
+  string mime_type = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_action_recognition.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_action_recognition.proto
new file mode 100644
index 000000000..4d5f32b98
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_action_recognition.proto
@@ -0,0 +1,48 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "VideoActionRecognitionPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Video Action Recognition.
+message VideoActionRecognitionPredictionInstance {
+  // The Google Cloud Storage location of the video on which to perform the
+  // prediction.
+  string content = 1;
+
+  // The MIME type of the content of the video. Only the following are
+  // supported: video/mp4 video/avi video/quicktime
+  string mime_type = 2;
+
+  // The beginning, inclusive, of the video's time segment on which to perform
+  // the prediction. Expressed as a number of seconds as measured from the
+  // start of the video, with "s" appended at the end. Fractions are allowed,
+  // up to a microsecond precision.
+  string time_segment_start = 3;
+
+  // The end, exclusive, of the video's time segment on which to perform
+  // the prediction. Expressed as a number of seconds as measured from the
+  // start of the video, with "s" appended at the end. Fractions are allowed,
+  // up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+  // means the end of the video.
+  string time_segment_end = 4;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_classification.proto
new file mode 100644
index 000000000..b3520dd82
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_classification.proto
@@ -0,0 +1,48 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "VideoClassificationPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Video Classification.
+message VideoClassificationPredictionInstance {
+  // The Google Cloud Storage location of the video on which to perform the
+  // prediction.
+  string content = 1;
+
+  // The MIME type of the content of the video. Only the following are
+  // supported: video/mp4 video/avi video/quicktime
+  string mime_type = 2;
+
+  // The beginning, inclusive, of the video's time segment on which to perform
+  // the prediction. Expressed as a number of seconds as measured from the
+  // start of the video, with "s" appended at the end. Fractions are allowed,
+  // up to a microsecond precision.
+  string time_segment_start = 3;
+
+  // The end, exclusive, of the video's time segment on which to perform
+  // the prediction. Expressed as a number of seconds as measured from the
+  // start of the video, with "s" appended at the end. Fractions are allowed,
+  // up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+  // means the end of the video.
+  string time_segment_end = 4;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_object_tracking.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_object_tracking.proto
new file mode 100644
index 000000000..d552a4ade
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/instance/video_object_tracking.proto
@@ -0,0 +1,48 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.instance;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/instance;instance";
+option java_multiple_files = true;
+option java_outer_classname = "VideoObjectTrackingPredictionInstanceProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.instance";
+
+// Prediction input format for Video Object Tracking.
+message VideoObjectTrackingPredictionInstance {
+  // The Google Cloud Storage location of the video on which to perform the
+  // prediction.
+  string content = 1;
+
+  // The MIME type of the content of the video. Only the following are
+  // supported: video/mp4 video/avi video/quicktime
+  string mime_type = 2;
+
+  // The beginning, inclusive, of the video's time segment on which to perform
+  // the prediction. Expressed as a number of seconds as measured from the
+  // start of the video, with "s" appended at the end. Fractions are allowed,
+  // up to a microsecond precision.
+  string time_segment_start = 3;
+
+  // The end, exclusive, of the video's time segment on which to perform
+  // the prediction. Expressed as a number of seconds as measured from the
+  // start of the video, with "s" appended at the end. Fractions are allowed,
+  // up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+  // means the end of the video.
+  string time_segment_end = 4;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_classification.proto
new file mode 100644
index 000000000..ac5cb96ad
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_classification.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.params;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/params;params";
+option java_multiple_files = true;
+option java_outer_classname = "ImageClassificationPredictionParamsProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.params";
+
+// Prediction model parameters for Image Classification.
+message ImageClassificationPredictionParams {
+  // The Model only returns predictions with at least this confidence score.
+  // Default value is 0.0
+  float confidence_threshold = 1;
+
+  // The Model only returns up to that many top, by confidence score,
+  // predictions per instance. If this number is very high, the Model may return
+  // fewer predictions. Default value is 10.
+  int32 max_predictions = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_object_detection.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_object_detection.proto
new file mode 100644
index 000000000..d85d8a280
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_object_detection.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.params;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/params;params";
+option java_multiple_files = true;
+option java_outer_classname = "ImageObjectDetectionPredictionParamsProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.params";
+
+// Prediction model parameters for Image Object Detection.
+message ImageObjectDetectionPredictionParams {
+  // The Model only returns predictions with at least this confidence score.
+  // Default value is 0.0
+  float confidence_threshold = 1;
+
+  // The Model only returns up to that many top, by confidence score,
+  // predictions per instance. Note that number of returned predictions is also
+  // limited by metadata's predictionsLimit. Default value is 10.
+  int32 max_predictions = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
new file mode 100644
index 000000000..84c604264
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/image_segmentation.proto
@@ -0,0 +1,33 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.params;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/params;params";
+option java_multiple_files = true;
+option java_outer_classname = "ImageSegmentationPredictionParamsProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.params";
+
+// Prediction model parameters for Image Segmentation.
+message ImageSegmentationPredictionParams {
+  // When the model predicts category of pixels of the image, it will only
+  // provide predictions for pixels that it is at least this much confident
+  // about. All other pixels will be classified as background. Default value is
+  // 0.5.
+  float confidence_threshold = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_action_recognition.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_action_recognition.proto
new file mode 100644
index 000000000..975dfdc1d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_action_recognition.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.params;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/params;params";
+option java_multiple_files = true;
+option java_outer_classname = "VideoActionRecognitionPredictionParamsProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.params";
+
+// Prediction model parameters for Video Action Recognition.
+message VideoActionRecognitionPredictionParams {
+  // The Model only returns predictions with at least this confidence score.
+  // Default value is 0.0
+  float confidence_threshold = 1;
+
+  // The model only returns up to that many top, by confidence score,
+  // predictions per frame of the video. If this number is very high, the
+  // Model may return fewer predictions per frame. Default value is 50.
+  int32 max_predictions = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
new file mode 100644
index 000000000..39c0181c6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_classification.proto
@@ -0,0 +1,61 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.params;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/params;params";
+option java_multiple_files = true;
+option java_outer_classname = "VideoClassificationPredictionParamsProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.params";
+
+// Prediction model parameters for Video Classification.
+message VideoClassificationPredictionParams {
+  // The Model only returns predictions with at least this confidence score.
+  // Default value is 0.0
+  float confidence_threshold = 1;
+
+  // The Model only returns up to that many top, by confidence score,
+  // predictions per instance. If this number is very high, the Model may return
+  // fewer predictions. Default value is 10,000.
+  int32 max_predictions = 2;
+
+  // Set to true to request segment-level classification. AI Platform returns
+  // labels and their confidence scores for the entire time segment of the
+  // video that user specified in the input instance.
+  // Default value is true
+  bool segment_classification = 3;
+
+  // Set to true to request shot-level classification. AI Platform determines
+  // the boundaries for each camera shot in the entire time segment of the
+  // video that user specified in the input instance. AI Platform then
+  // returns labels and their confidence scores for each detected shot, along
+  // with the start and end time of the shot.
+  // WARNING: Model evaluation is not done for this classification type,
+  // the quality of it depends on the training data, but there are no metrics
+  // provided to describe that quality.
+  // Default value is false
+  bool shot_classification = 4;
+
+  // Set to true to request classification for a video at one-second intervals.
+  // AI Platform returns labels and their confidence scores for each second of
+  // the entire time segment of the video that user specified in the input
+  // WARNING: Model evaluation is not done for this classification type, the
+  // quality of it depends on the training data, but there are no metrics
+  // provided to describe that quality. Default value is false
+  bool one_sec_interval_classification = 5;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto
new file mode 100644
index 000000000..78a3b5043
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto
@@ -0,0 +1,40 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.params;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/params;params";
+option java_multiple_files = true;
+option java_outer_classname = "VideoObjectTrackingPredictionParamsProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.params";
+
+// Prediction model parameters for Video Object Tracking.
+message VideoObjectTrackingPredictionParams {
+  // The Model only returns predictions with at least this confidence score.
+  // Default value is 0.0
+  float confidence_threshold = 1;
+
+  // The model only returns up to that many top, by confidence score,
+  // predictions per frame of the video. If this number is very high, the
+  // Model may return fewer predictions per frame. Default value is 50.
+  int32 max_predictions = 2;
+
+  // Only bounding boxes with shortest edge at least that long as a relative
+  // value of video frame size are returned. Default value is 0.0.
+  float min_bounding_box_size = 3;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
new file mode 100644
index 000000000..b5db64438
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/classification.proto
@@ -0,0 +1,39 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "ClassificationPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Image and Text Classification.
+message ClassificationPredictionResult {
+  // The resource IDs of the AnnotationSpecs that had been identified, ordered
+  // by the confidence score descendingly.
+  repeated int64 ids = 1;
+
+  // The display names of the AnnotationSpecs that had been identified, order
+  // matches the IDs.
+  repeated string display_names = 2;
+
+  // The Model's confidences in correctness of the predicted IDs, higher value
+  // means higher confidence. Order matches the Ids.
+  repeated float confidences = 3;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_object_detection.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_object_detection.proto
new file mode 100644
index 000000000..9f7e90d15
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_object_detection.proto
@@ -0,0 +1,48 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/protobuf/struct.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "ImageObjectDetectionPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Image Object Detection.
+message ImageObjectDetectionPredictionResult {
+  // The resource IDs of the AnnotationSpecs that had been identified, ordered
+  // by the confidence score descendingly.
+  repeated int64 ids = 1;
+
+  // The display names of the AnnotationSpecs that had been identified, order
+  // matches the IDs.
+  repeated string display_names = 2;
+
+  // The Model's confidences in correctness of the predicted IDs, higher value
+  // means higher confidence. Order matches the Ids.
+  repeated float confidences = 3;
+
+  // Bounding boxes, i.e. the rectangles over the image, that pinpoint
+  // the found AnnotationSpecs. Given in order that matches the IDs. Each
+  // bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
+  // `yMax`, which represent the extremal coordinates of the box. They are
+  // relative to the image size, and the point 0,0 is in the top left
+  // of the image.
+  repeated google.protobuf.ListValue bboxes = 4;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
new file mode 100644
index 000000000..d5726b149
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/image_segmentation.proto
@@ -0,0 +1,42 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "ImageSegmentationPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Image Segmentation.
+message ImageSegmentationPredictionResult {
+  // A PNG image where each pixel in the mask represents the category in which
+  // the pixel in the original image was predicted to belong to. The size of
+  // this image will be the same as the original image. The mapping between the
+  // AnntoationSpec and the color can be found in model's metadata. The model
+  // will choose the most likely category and if none of the categories reach
+  // the confidence threshold, the pixel will be marked as background.
+  string category_mask = 1;
+
+  // A one channel image which is encoded as an 8bit lossless PNG. The size of
+  // the image will be the same as the original image. For a specific pixel,
+  // darker color means less confidence in correctness of the cateogry in the
+  // categoryMask for the corresponding pixel. Black means no confidence and
+  // white means complete confidence.
+  string confidence_mask = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_classification.proto
new file mode 100644
index 000000000..2fe492c5d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_classification.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "TabularClassificationPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Tabular Classification.
+message TabularClassificationPredictionResult {
+  // The name of the classes being classified, contains all possible values of
+  // the target column.
+  repeated string classes = 1;
+
+  // The model's confidence in each class being correct, higher
+  // value means higher confidence. The N-th score corresponds to
+  // the N-th class in classes.
+  repeated float scores = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_regression.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_regression.proto
new file mode 100644
index 000000000..b3456f4de
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/tabular_regression.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "TabularRegressionPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Tabular Regression.
+message TabularRegressionPredictionResult {
+  // The regression value.
+  float value = 1;
+
+  // The lower bound of the prediction interval.
+  float lower_bound = 2;
+
+  // The upper bound of the prediction interval.
+  float upper_bound = 3;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_extraction.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_extraction.proto
new file mode 100644
index 000000000..973dcbc79
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_extraction.proto
@@ -0,0 +1,49 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "TextExtractionPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Text Extraction.
+message TextExtractionPredictionResult {
+  // The resource IDs of the AnnotationSpecs that had been identified,
+  // ordered by the confidence score descendingly.
+  repeated int64 ids = 1;
+
+  // The display names of the AnnotationSpecs that had been identified,
+  // order matches the IDs.
+  repeated string display_names = 2;
+
+  // The start offsets, inclusive, of the text segment in which the
+  // AnnotationSpec has been identified. Expressed as a zero-based number
+  // of characters as measured from the start of the text snippet.
+  repeated int64 text_segment_start_offsets = 3;
+
+  // The end offsets, inclusive, of the text segment in which the
+  // AnnotationSpec has been identified. Expressed as a zero-based number
+  // of characters as measured from the start of the text snippet.
+  repeated int64 text_segment_end_offsets = 4;
+
+  // The Model's confidences in correctness of the predicted IDs, higher
+  // value means higher confidence. Order matches the Ids.
+  repeated float confidences = 5;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_sentiment.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_sentiment.proto
new file mode 100644
index 000000000..75023856a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/text_sentiment.proto
@@ -0,0 +1,34 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "TextSentimentPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Text Sentiment
+message TextSentimentPredictionResult {
+  // The integer sentiment labels between 0 (inclusive) and sentimentMax label
+  // (inclusive), while 0 maps to the least positive sentiment and
+  // sentimentMax maps to the most positive one. The higher the score is, the
+  // more positive the sentiment in the text snippet is. Note: sentimentMax is
+  // an integer value between 1 (inclusive) and 10 (inclusive).
+  int32 sentiment = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_action_recognition.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_action_recognition.proto
new file mode 100644
index 000000000..f93acb9a6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_action_recognition.proto
@@ -0,0 +1,51 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/protobuf/duration.proto";
+import "google/protobuf/wrappers.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "VideoActionRecognitionPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Video Action Recognition.
+message VideoActionRecognitionPredictionResult {
+  // The resource ID of the AnnotationSpec that had been identified.
+  string id = 1;
+
+  // The display name of the AnnotationSpec that had been identified.
+  string display_name = 2;
+
+  // The beginning, inclusive, of the video's time segment in which the
+  // AnnotationSpec has been identified. Expressed as a number of seconds as
+  // measured from the start of the video, with fractions up to a microsecond
+  // precision, and with "s" appended at the end.
+  google.protobuf.Duration time_segment_start = 4;
+
+  // The end, exclusive, of the video's time segment in which the
+  // AnnotationSpec has been identified. Expressed as a number of seconds as
+  // measured from the start of the video, with fractions up to a microsecond
+  // precision, and with "s" appended at the end.
+  google.protobuf.Duration time_segment_end = 5;
+
+  // The Model's confidence in correction of this prediction, higher
+  // value means higher confidence.
+  google.protobuf.FloatValue confidence = 6;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_classification.proto
new file mode 100644
index 000000000..c518a73f8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_classification.proto
@@ -0,0 +1,64 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/protobuf/duration.proto";
+import "google/protobuf/wrappers.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "VideoClassificationPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Video Classification.
+message VideoClassificationPredictionResult {
+  // The resource ID of the AnnotationSpec that had been identified.
+  string id = 1;
+
+  // The display name of the AnnotationSpec that had been identified.
+  string display_name = 2;
+
+  // The type of the prediction. The requested types can be configured
+  // via parameters. This will be one of
+  // - segment-classification
+  // - shot-classification
+  // - one-sec-interval-classification
+  string type = 3;
+
+  // The beginning, inclusive, of the video's time segment in which the
+  // AnnotationSpec has been identified. Expressed as a number of seconds as
+  // measured from the start of the video, with fractions up to a microsecond
+  // precision, and with "s" appended at the end. Note that for
+  // 'segment-classification' prediction type, this equals the original
+  // 'timeSegmentStart' from the input instance, for other types it is the
+  // start of a shot or a 1 second interval respectively.
+  google.protobuf.Duration time_segment_start = 4;
+
+  // The end, exclusive, of the video's time segment in which the
+  // AnnotationSpec has been identified. Expressed as a number of seconds as
+  // measured from the start of the video, with fractions up to a microsecond
+  // precision, and with "s" appended at the end. Note that for
+  // 'segment-classification' prediction type, this equals the original
+  // 'timeSegmentEnd' from the input instance, for other types it is the end
+  // of a shot or a 1 second interval respectively.
+  google.protobuf.Duration time_segment_end = 5;
+
+  // The Model's confidence in correction of this prediction, higher
+  // value means higher confidence.
+  google.protobuf.FloatValue confidence = 6;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_object_tracking.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_object_tracking.proto
new file mode 100644
index 000000000..375bd1494
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/predict/prediction/video_object_tracking.proto
@@ -0,0 +1,79 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.predict.prediction;
+
+import "google/protobuf/duration.proto";
+import "google/protobuf/wrappers.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/predict/prediction;prediction";
+option java_multiple_files = true;
+option java_outer_classname = "VideoObjectTrackingPredictionResultProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.predict.prediction";
+
+// Prediction output format for Video Object Tracking.
+message VideoObjectTrackingPredictionResult {
+  // The fields `xMin`, `xMax`, `yMin`, and `yMax` refer to a bounding box,
+  // i.e. the rectangle over the video frame pinpointing the found
+  // AnnotationSpec. The coordinates are relative to the frame size, and the
+  // point 0,0 is in the top left of the frame.
+  message Frame {
+    // A time (frame) of a video in which the object has been detected.
+    // Expressed as a number of seconds as measured from the
+    // start of the video, with fractions up to a microsecond precision, and
+    // with "s" appended at the end.
+    google.protobuf.Duration time_offset = 1;
+
+    // The leftmost coordinate of the bounding box.
+    google.protobuf.FloatValue x_min = 2;
+
+    // The rightmost coordinate of the bounding box.
+    google.protobuf.FloatValue x_max = 3;
+
+    // The topmost coordinate of the bounding box.
+    google.protobuf.FloatValue y_min = 4;
+
+    // The bottommost coordinate of the bounding box.
+    google.protobuf.FloatValue y_max = 5;
+  }
+
+  // The resource ID of the AnnotationSpec that had been identified.
+  string id = 1;
+
+  // The display name of the AnnotationSpec that had been identified.
+  string display_name = 2;
+
+  // The beginning, inclusive, of the video's time segment in which the
+  // object instance has been detected. Expressed as a number of seconds as
+  // measured from the start of the video, with fractions up to a microsecond
+  // precision, and with "s" appended at the end.
+  google.protobuf.Duration time_segment_start = 3;
+
+  // The end, inclusive, of the video's time segment in which the
+  // object instance has been detected. Expressed as a number of seconds as
+  // measured from the start of the video, with fractions up to a microsecond
+  // precision, and with "s" appended at the end.
+  google.protobuf.Duration time_segment_end = 4;
+
+  // The Model's confidence in correction of this prediction, higher
+  // value means higher confidence.
+  google.protobuf.FloatValue confidence = 5;
+
+  // All of the frames of the video in which a single object instance has been
+  // detected. The bounding boxes in the frames identify the same object.
+  repeated Frame frames = 6;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
new file mode 100644
index 000000000..ef40620e6
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_classification.proto
@@ -0,0 +1,125 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLImageClassificationProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Image Classification Model.
+message AutoMlImageClassification {
+  // The input parameters of this TrainingJob.
+  AutoMlImageClassificationInputs inputs = 1;
+
+  // The metadata information.
+  AutoMlImageClassificationMetadata metadata = 2;
+}
+
+message AutoMlImageClassificationInputs {
+  enum ModelType {
+    // Should not be set.
+    MODEL_TYPE_UNSPECIFIED = 0;
+
+    // A Model best tailored to be used within Google Cloud, and which cannot
+    // be exported.
+    // Default.
+    CLOUD = 1;
+
+    // A model that, in addition to being available within Google
+    // Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+    // or Core ML model and used on a mobile or edge device afterwards.
+    // Expected to have low latency, but may have lower prediction
+    // quality than other mobile models.
+    MOBILE_TF_LOW_LATENCY_1 = 2;
+
+    // A model that, in addition to being available within Google
+    // Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+    // or Core ML model and used on a mobile or edge device with afterwards.
+    MOBILE_TF_VERSATILE_1 = 3;
+
+    // A model that, in addition to being available within Google
+    // Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+    // or Core ML model and used on a mobile or edge device afterwards.
+    // Expected to have a higher latency, but should also have a higher
+    // prediction quality than other mobile models.
+    MOBILE_TF_HIGH_ACCURACY_1 = 4;
+  }
+
+  ModelType model_type = 1;
+
+  // The ID of the `base` model. If it is specified, the new model will be
+  // trained based on the `base` model. Otherwise, the new model will be
+  // trained from scratch. The `base` model must be in the same
+  // Project and Location as the new Model to train, and have the same
+  // modelType.
+  string base_model_id = 2;
+
+  // The training budget of creating this model, expressed in milli node
+  // hours i.e. 1,000 value in this field means 1 node hour. The actual
+  // metadata.costMilliNodeHours will be equal or less than this value.
+  // If further model training ceases to provide any improvements, it will
+  // stop without using the full budget and the metadata.successfulStopReason
+  // will be `model-converged`.
+  // Note, node_hour  = actual_hour * number_of_nodes_involved.
+  // For modelType `cloud`(default), the budget must be between 8,000
+  // and 800,000 milli node hours, inclusive. The default value is 192,000
+  // which represents one day in wall time, considering 8 nodes are used.
+  // For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+  // `mobile-tf-high-accuracy-1`, the training budget must be between
+  // 1,000 and 100,000 milli node hours, inclusive.
+  // The default value is 24,000 which represents one day in wall time on a
+  // single node that is used.
+  int64 budget_milli_node_hours = 3;
+
+  // Use the entire training budget. This disables the early stopping feature.
+  // When false the early stopping feature is enabled, which means that
+  // AutoML Image Classification might stop training before the entire
+  // training budget has been used.
+  bool disable_early_stopping = 4;
+
+  // If false, a single-label (multi-class) Model will be trained (i.e.
+  // assuming that for each image just up to one annotation may be
+  // applicable). If true, a multi-label Model will be trained (i.e.
+  // assuming that for each image multiple annotations may be applicable).
+  bool multi_label = 5;
+}
+
+message AutoMlImageClassificationMetadata {
+  enum SuccessfulStopReason {
+    // Should not be set.
+    SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;
+
+    // The inputs.budgetMilliNodeHours had been reached.
+    BUDGET_REACHED = 1;
+
+    // Further training of the Model ceased to increase its quality, since it
+    // already has converged.
+    MODEL_CONVERGED = 2;
+  }
+
+  // The actual training cost of creating this model, expressed in
+  // milli node hours, i.e. 1,000 value in this field means 1 node hour.
+  // Guaranteed to not exceed inputs.budgetMilliNodeHours.
+  int64 cost_milli_node_hours = 1;
+
+  // For successful job completions, this is the reason why the job has
+  // finished.
+  SuccessfulStopReason successful_stop_reason = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
new file mode 100644
index 000000000..5d01485a0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_object_detection.proto
@@ -0,0 +1,117 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLImageObjectDetectionProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Image Object Detection Model.
+message AutoMlImageObjectDetection {
+  // The input parameters of this TrainingJob.
+  AutoMlImageObjectDetectionInputs inputs = 1;
+
+  // The metadata information
+  AutoMlImageObjectDetectionMetadata metadata = 2;
+}
+
+message AutoMlImageObjectDetectionInputs {
+  enum ModelType {
+    // Should not be set.
+    MODEL_TYPE_UNSPECIFIED = 0;
+
+    // A model best tailored to be used within Google Cloud, and which cannot
+    // be exported. Expected to have a higher latency, but should also have a
+    // higher prediction quality than other cloud models.
+    CLOUD_HIGH_ACCURACY_1 = 1;
+
+    // A model best tailored to be used within Google Cloud, and which cannot
+    // be exported. Expected to have a low latency, but may have lower
+    // prediction quality than other cloud models.
+    CLOUD_LOW_LATENCY_1 = 2;
+
+    // A model that, in addition to being available within Google
+    // Cloud can also be exported (see ModelService.ExportModel) and
+    // used on a mobile or edge device with TensorFlow afterwards.
+    // Expected to have low latency, but may have lower prediction
+    // quality than other mobile models.
+    MOBILE_TF_LOW_LATENCY_1 = 3;
+
+    // A model that, in addition to being available within Google
+    // Cloud can also be exported (see ModelService.ExportModel) and
+    // used on a mobile or edge device with TensorFlow afterwards.
+    MOBILE_TF_VERSATILE_1 = 4;
+
+    // A model that, in addition to being available within Google
+    // Cloud, can also be exported (see ModelService.ExportModel) and
+    // used on a mobile or edge device with TensorFlow afterwards.
+    // Expected to have a higher latency, but should also have a higher
+    // prediction quality than other mobile models.
+    MOBILE_TF_HIGH_ACCURACY_1 = 5;
+  }
+
+  ModelType model_type = 1;
+
+  // The training budget of creating this model, expressed in milli node
+  // hours i.e. 1,000 value in this field means 1 node hour. The actual
+  // metadata.costMilliNodeHours will be equal or less than this value.
+  // If further model training ceases to provide any improvements, it will
+  // stop without using the full budget and the metadata.successfulStopReason
+  // will be `model-converged`.
+  // Note, node_hour  = actual_hour * number_of_nodes_involved.
+  // For modelType `cloud`(default), the budget must be between 20,000
+  // and 900,000 milli node hours, inclusive. The default value is 216,000
+  // which represents one day in wall time, considering 9 nodes are used.
+  // For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
+  // `mobile-tf-high-accuracy-1`
+  // the training budget must be between 1,000 and 100,000 milli node hours,
+  // inclusive. The default value is 24,000 which represents one day in
+  // wall time on a single node that is used.
+  int64 budget_milli_node_hours = 2;
+
+  // Use the entire training budget. This disables the early stopping feature.
+  // When false the early stopping feature is enabled, which means that AutoML
+  // Image Object Detection might stop training before the entire training
+  // budget has been used.
+  bool disable_early_stopping = 3;
+}
+
+message AutoMlImageObjectDetectionMetadata {
+  enum SuccessfulStopReason {
+    // Should not be set.
+    SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;
+
+    // The inputs.budgetMilliNodeHours had been reached.
+    BUDGET_REACHED = 1;
+
+    // Further training of the Model ceased to increase its quality, since it
+    // already has converged.
+    MODEL_CONVERGED = 2;
+  }
+
+  // The actual training cost of creating this model, expressed in
+  // milli node hours, i.e. 1,000 value in this field means 1 node hour.
+  // Guaranteed to not exceed inputs.budgetMilliNodeHours.
+  int64 cost_milli_node_hours = 1;
+
+  // For successful job completions, this is the reason why the job has
+  // finished.
+  SuccessfulStopReason successful_stop_reason = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
new file mode 100644
index 000000000..2747b2968
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_image_segmentation.proto
@@ -0,0 +1,103 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLImageSegmentationProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Image Segmentation Model.
+message AutoMlImageSegmentation {
+  // The input parameters of this TrainingJob.
+  AutoMlImageSegmentationInputs inputs = 1;
+
+  // The metadata information.
+  AutoMlImageSegmentationMetadata metadata = 2;
+}
+
+message AutoMlImageSegmentationInputs {
+  enum ModelType {
+    // Should not be set.
+    MODEL_TYPE_UNSPECIFIED = 0;
+
+    // A model to be used via prediction calls to uCAIP API. Expected
+    // to have a higher latency, but should also have a higher prediction
+    // quality than other models.
+    CLOUD_HIGH_ACCURACY_1 = 1;
+
+    // A model to be used via prediction calls to uCAIP API. Expected
+    // to have a lower latency but relatively lower prediction quality.
+    CLOUD_LOW_ACCURACY_1 = 2;
+
+    // A model that, in addition to being available within Google
+    // Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+    // model and used on a mobile or edge device afterwards.
+    // Expected to have low latency, but may have lower prediction
+    // quality than other mobile models.
+    MOBILE_TF_LOW_LATENCY_1 = 3;
+  }
+
+  ModelType model_type = 1;
+
+  // The training budget of creating this model, expressed in milli node
+  // hours i.e. 1,000 value in this field means 1 node hour. The actual
+  // metadata.costMilliNodeHours will be equal or less than this value.
+  // If further model training ceases to provide any improvements, it will
+  // stop without using the full budget and the metadata.successfulStopReason
+  // will be `model-converged`.
+  // Note, node_hour  = actual_hour * number_of_nodes_involved. Or
+  // actaul_wall_clock_hours = train_budget_milli_node_hours /
+  //                           (number_of_nodes_involved * 1000)
+  // For modelType `cloud-high-accuracy-1`(default), the budget must be between
+  // 20,000 and 2,000,000 milli node hours, inclusive. The default value is
+  // 192,000 which represents one day in wall time
+  // (1000 milli * 24 hours * 8 nodes).
+  int64 budget_milli_node_hours = 2;
+
+  // The ID of the `base` model. If it is specified, the new model will be
+  // trained based on the `base` model. Otherwise, the new model will be
+  // trained from scratch. The `base` model must be in the same
+  // Project and Location as the new Model to train, and have the same
+  // modelType.
+  string base_model_id = 3;
+}
+
+message AutoMlImageSegmentationMetadata {
+  enum SuccessfulStopReason {
+    // Should not be set.
+    SUCCESSFUL_STOP_REASON_UNSPECIFIED = 0;
+
+    // The inputs.budgetMilliNodeHours had been reached.
+    BUDGET_REACHED = 1;
+
+    // Further training of the Model ceased to increase its quality, since it
+    // already has converged.
+    MODEL_CONVERGED = 2;
+  }
+
+  // The actual training cost of creating this model, expressed in
+  // milli node hours, i.e. 1,000 value in this field means 1 node hour.
+  // Guaranteed to not exceed inputs.budgetMilliNodeHours.
+  int64 cost_milli_node_hours = 1;
+
+  // For successful job completions, this is the reason why the job has
+  // finished.
+  SuccessfulStopReason successful_stop_reason = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
new file mode 100644
index 000000000..23452641b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_tables.proto
@@ -0,0 +1,278 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLTablesProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Tables Model.
+message AutoMlTables {
+  // The input parameters of this TrainingJob.
+  AutoMlTablesInputs inputs = 1;
+
+  // The metadata information.
+  AutoMlTablesMetadata metadata = 2;
+}
+
+message AutoMlTablesInputs {
+  message Transformation {
+    // Training pipeline will infer the proper transformation based on the
+    // statistic of dataset.
+    message AutoTransformation {
+      string column_name = 1;
+    }
+
+    // Training pipeline will perform following transformation functions.
+    // *  The value converted to float32.
+    // *  The z_score of the value.
+    // *  log(value+1) when the value is greater than or equal to 0. Otherwise,
+    //    this transformation is not applied and the value is considered a
+    //    missing value.
+    // *  z_score of log(value+1) when the value is greater than or equal to 0.
+    //    Otherwise, this transformation is not applied and the value is
+    //    considered a missing value.
+    // *  A boolean value that indicates whether the value is valid.
+    message NumericTransformation {
+      string column_name = 1;
+
+      // If invalid values is allowed, the training pipeline will create a
+      // boolean feature that indicated whether the value is valid.
+      // Otherwise, the training pipeline will discard the input row from
+      // trainining data.
+      bool invalid_values_allowed = 2;
+    }
+
+    // Training pipeline will perform following transformation functions.
+    // *  The categorical string as is--no change to case, punctuation,
+    // spelling,
+    //    tense, and so on.
+    // *  Convert the category name to a dictionary lookup index and generate an
+    //    embedding for each index.
+    // *  Categories that appear less than 5 times in the training dataset are
+    //    treated as the "unknown" category. The "unknown" category gets its own
+    //    special lookup index and resulting embedding.
+    message CategoricalTransformation {
+      string column_name = 1;
+    }
+
+    // Training pipeline will perform following transformation functions.
+    // *  Apply the transformation functions for Numerical columns.
+    // *  Determine the year, month, day,and weekday. Treat each value from the
+    // *  timestamp as a Categorical column.
+    // *  Invalid numerical values (for example, values that fall outside of a
+    //    typical timestamp range, or are extreme values) receive no special
+    //    treatment and are not removed.
+    message TimestampTransformation {
+      string column_name = 1;
+
+      // The format in which that time field is expressed. The time_format must
+      // either be one of:
+      // * `unix-seconds`
+      // * `unix-milliseconds`
+      // * `unix-microseconds`
+      // * `unix-nanoseconds`
+      // (for respectively number of seconds, milliseconds, microseconds and
+      // nanoseconds since start of the Unix epoch);
+      // or be written in `strftime` syntax. If time_format is not set, then the
+      // default format is RFC 3339 `date-time` format, where
+      // `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
+      string time_format = 2;
+
+      // If invalid values is allowed, the training pipeline will create a
+      // boolean feature that indicated whether the value is valid.
+      // Otherwise, the training pipeline will discard the input row from
+      // trainining data.
+      bool invalid_values_allowed = 3;
+    }
+
+    // Training pipeline will perform following transformation functions.
+    // *  The text as is--no change to case, punctuation, spelling, tense, and
+    // so
+    //    on.
+    // *  Tokenize text to words. Convert each words to a dictionary lookup
+    // index
+    //    and generate an embedding for each index. Combine the embedding of all
+    //    elements into a single embedding using the mean.
+    // *  Tokenization is based on unicode script boundaries.
+    // *  Missing values get their own lookup index and resulting embedding.
+    // *  Stop-words receive no special treatment and are not removed.
+    message TextTransformation {
+      string column_name = 1;
+    }
+
+    // Treats the column as numerical array and performs following
+    // transformation functions.
+    // *  All transformations for Numerical types applied to the average of the
+    //    all elements.
+    // *  The average of empty arrays is treated as zero.
+    message NumericArrayTransformation {
+      string column_name = 1;
+
+      // If invalid values is allowed, the training pipeline will create a
+      // boolean feature that indicated whether the value is valid.
+      // Otherwise, the training pipeline will discard the input row from
+      // trainining data.
+      bool invalid_values_allowed = 2;
+    }
+
+    // Treats the column as categorical array and performs following
+    // transformation functions.
+    // *  For each element in the array, convert the category name to a
+    // dictionary
+    //    lookup index and generate an embedding for each index.
+    //    Combine the embedding of all elements into a single embedding using
+    //    the mean.
+    // *  Empty arrays treated as an embedding of zeroes.
+    message CategoricalArrayTransformation {
+      string column_name = 1;
+    }
+
+    // Treats the column as text array and performs following transformation
+    // functions.
+    // *  Concatenate all text values in the array into a single text value
+    // using
+    //    a space (" ") as a delimiter, and then treat the result as a single
+    //    text value. Apply the transformations for Text columns.
+    // *  Empty arrays treated as an empty text.
+    message TextArrayTransformation {
+      string column_name = 1;
+    }
+
+    // The transformation that the training pipeline will apply to the input
+    // columns.
+    oneof transformation_detail {
+      AutoTransformation auto = 1;
+
+      NumericTransformation numeric = 2;
+
+      CategoricalTransformation categorical = 3;
+
+      TimestampTransformation timestamp = 4;
+
+      TextTransformation text = 5;
+
+      NumericArrayTransformation repeated_numeric = 6;
+
+      CategoricalArrayTransformation repeated_categorical = 7;
+
+      TextArrayTransformation repeated_text = 8;
+    }
+  }
+
+  // Additional optimization objective configuration. Required for
+  // `maximize-precision-at-recall` and `maximize-recall-at-precision`,
+  // otherwise unused.
+  oneof additional_optimization_objective_config {
+    // Required when optimization_objective is "maximize-precision-at-recall".
+    // Must be between 0 and 1, inclusive.
+    float optimization_objective_recall_value = 5;
+
+    // Required when optimization_objective is "maximize-recall-at-precision".
+    // Must be between 0 and 1, inclusive.
+    float optimization_objective_precision_value = 6;
+  }
+
+  // The type of prediction the Model is to produce.
+  //   "classification" - Predict one out of multiple target values is
+  //                      picked for each row.
+  //   "regression" - Predict a value based on its relation to other values.
+  //                  This type is available only to columns that contain
+  //                  semantically numeric values, i.e. integers or floating
+  //                  point number, even if stored as e.g. strings.
+  string prediction_type = 1;
+
+  // The column name of the target column that the model is to predict.
+  string target_column = 2;
+
+  // Each transformation will apply transform function to given input column.
+  // And the result will be used for training.
+  // When creating transformation for BigQuery Struct column, the column should
+  // be flattened using "." as the delimiter.
+  repeated Transformation transformations = 3;
+
+  // Objective function the model is optimizing towards. The training process
+  // creates a model that maximizes/minimizes the value of the objective
+  // function over the validation set.
+  //
+  // The supported optimization objectives depend on the prediction type.
+  // If the field is not set, a default objective function is used.
+  //
+  // classification (binary):
+  //   "maximize-au-roc" (default) - Maximize the area under the receiver
+  //                                 operating characteristic (ROC) curve.
+  //   "minimize-log-loss" - Minimize log loss.
+  //   "maximize-au-prc" - Maximize the area under the precision-recall curve.
+  //   "maximize-precision-at-recall" - Maximize precision for a specified
+  //                                   recall value.
+  //   "maximize-recall-at-precision" - Maximize recall for a specified
+  //                                    precision value.
+  //
+  // classification (multi-class):
+  //   "minimize-log-loss" (default) - Minimize log loss.
+  //
+  // regression:
+  //   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
+  //   "minimize-mae" - Minimize mean-absolute error (MAE).
+  //   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
+  string optimization_objective = 4;
+
+  // Required. The train budget of creating this model, expressed in milli node
+  // hours i.e. 1,000 value in this field means 1 node hour.
+  //
+  // The training cost of the model will not exceed this budget. The final cost
+  // will be attempted to be close to the budget, though may end up being (even)
+  // noticeably smaller - at the backend's discretion. This especially may
+  // happen when further model training ceases to provide any improvements.
+  //
+  // If the budget is set to a value known to be insufficient to train a
+  // model for the given dataset, the training won't be attempted and
+  // will error.
+  //
+  // The train budget must be between 1,000 and 72,000 milli node hours,
+  // inclusive.
+  int64 train_budget_milli_node_hours = 7;
+
+  // Use the entire training budget. This disables the early stopping feature.
+  // By default, the early stopping feature is enabled, which means that AutoML
+  // Tables might stop training before the entire training budget has been used.
+  bool disable_early_stopping = 8;
+
+  // Column name that should be used as the weight column.
+  // Higher values in this column give more importance to the row
+  // during model training. The column must have numeric values between 0 and
+  // 10000 inclusively; 0 means the row is ignored for training. If weight
+  // column field is not set, then all rows are assumed to have equal weight
+  // of 1.
+  string weight_column_name = 9;
+
+  // Configuration for exporting test set predictions to a BigQuery table. If
+  // this configuration is absent, then the export is not performed.
+  ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+}
+
+// Model metadata specific to AutoML Tables.
+message AutoMlTablesMetadata {
+  // Output only. The actual training cost of the model, expressed in milli
+  // node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed
+  // to not exceed the train budget.
+  int64 train_cost_milli_node_hours = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto
new file mode 100644
index 000000000..f0080be30
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_classification.proto
@@ -0,0 +1,34 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLTextClassificationProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Text Classification Model.
+message AutoMlTextClassification {
+  // The input parameters of this TrainingJob.
+  AutoMlTextClassificationInputs inputs = 1;
+}
+
+message AutoMlTextClassificationInputs {
+  bool multi_label = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto
new file mode 100644
index 000000000..157d81260
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_extraction.proto
@@ -0,0 +1,34 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLTextExtractionProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Text Extraction Model.
+message AutoMlTextExtraction {
+  // The input parameters of this TrainingJob.
+  AutoMlTextExtractionInputs inputs = 1;
+}
+
+message AutoMlTextExtractionInputs {
+
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto
new file mode 100644
index 000000000..6b5b02b4a
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_text_sentiment.proto
@@ -0,0 +1,41 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLTextSentimentProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Text Sentiment Model.
+message AutoMlTextSentiment {
+  // The input parameters of this TrainingJob.
+  AutoMlTextSentimentInputs inputs = 1;
+}
+
+message AutoMlTextSentimentInputs {
+  // A sentiment is expressed as an integer ordinal, where higher value
+  // means a more positive sentiment. The range of sentiments that will be used
+  // is between 0 and sentimentMax (inclusive on both ends), and all the values
+  // in the range must be represented in the dataset before a model can be
+  // created.
+  // Only the Annotations with this sentimentMax will be used for training.
+  // sentimentMax value must be between 1 and 10 (inclusive).
+  int32 sentiment_max = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
new file mode 100644
index 000000000..b502ff78e
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_action_recognition.proto
@@ -0,0 +1,49 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLVideoActionRecognitionProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Video Action Recognition
+// Model.
+message AutoMlVideoActionRecognition {
+  // The input parameters of this TrainingJob.
+  AutoMlVideoActionRecognitionInputs inputs = 1;
+}
+
+message AutoMlVideoActionRecognitionInputs {
+  enum ModelType {
+    // Should not be set.
+    MODEL_TYPE_UNSPECIFIED = 0;
+
+    // A model best tailored to be used within Google Cloud, and which c annot
+    // be exported. Default.
+    CLOUD = 1;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) as a TensorFlow or
+    // TensorFlow Lite model and used on a mobile or edge device afterwards.
+    MOBILE_VERSATILE_1 = 2;
+  }
+
+  ModelType model_type = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto
new file mode 100644
index 000000000..d20921518
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_classification.proto
@@ -0,0 +1,53 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLVideoClassificationProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Video Classification Model.
+message AutoMlVideoClassification {
+  // The input parameters of this TrainingJob.
+  AutoMlVideoClassificationInputs inputs = 1;
+}
+
+message AutoMlVideoClassificationInputs {
+  enum ModelType {
+    // Should not be set.
+    MODEL_TYPE_UNSPECIFIED = 0;
+
+    // A model best tailored to be used within Google Cloud, and which cannot
+    // be exported. Default.
+    CLOUD = 1;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) as a TensorFlow or
+    // TensorFlow Lite model and used on a mobile or edge device afterwards.
+    MOBILE_VERSATILE_1 = 2;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) to a Jetson device
+    // afterwards.
+    MOBILE_JETSON_VERSATILE_1 = 3;
+  }
+
+  ModelType model_type = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto
new file mode 100644
index 000000000..66d3ee349
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.proto
@@ -0,0 +1,64 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "AutoMLVideoObjectTrackingProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.
+message AutoMlVideoObjectTracking {
+  // The input parameters of this TrainingJob.
+  AutoMlVideoObjectTrackingInputs inputs = 1;
+}
+
+message AutoMlVideoObjectTrackingInputs {
+  enum ModelType {
+    // Should not be set.
+    MODEL_TYPE_UNSPECIFIED = 0;
+
+    // A model best tailored to be used within Google Cloud, and which c annot
+    // be exported. Default.
+    CLOUD = 1;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) as a TensorFlow or
+    // TensorFlow Lite model and used on a mobile or edge device afterwards.
+    MOBILE_VERSATILE_1 = 2;
+
+    // A versatile model that is meant to be exported (see
+    // ModelService.ExportModel) and used on a Google Coral device.
+    MOBILE_CORAL_VERSATILE_1 = 3;
+
+    // A model that trades off quality for low latency, to be exported (see
+    // ModelService.ExportModel) and used on a Google Coral device.
+    MOBILE_CORAL_LOW_LATENCY_1 = 4;
+
+    // A versatile model that is meant to be exported (see
+    // ModelService.ExportModel) and used on an NVIDIA Jetson device.
+    MOBILE_JETSON_VERSATILE_1 = 5;
+
+    // A model that trades off quality for low latency, to be exported (see
+    // ModelService.ExportModel) and used on an NVIDIA Jetson device.
+    MOBILE_JETSON_LOW_LATENCY_1 = 6;
+  }
+
+  ModelType model_type = 1;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
new file mode 100644
index 000000000..799f4e896
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
@@ -0,0 +1,41 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1.schema.trainingjob.definition;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1/schema/trainingjob/definition;definition";
+option java_multiple_files = true;
+option java_outer_classname = "ExportEvaluatedDataItemsConfigProto";
+option java_package = "com.google.cloud.aiplatform.v1.schema.trainingjob.definition";
+
+// Configuration for exporting test set predictions to a BigQuery table.
+message ExportEvaluatedDataItemsConfig {
+  // URI of desired destination BigQuery table. Expected format:
+  // bq://<project_id>:<dataset_id>:<table>
+  //
+  // If not specified, then results are exported to the following auto-created
+  // BigQuery table:
+  //
+  // <project_id>:export_evaluated_examples_<model_name>_<yyyy_MM_dd'T'HH_mm_ss_SSS'Z'>.evaluated_examples
+  string destination_bigquery_uri = 1;
+
+  // If true and an export destination is specified, then the contents of the
+  // destination are overwritten. Otherwise, if the export destination already
+  // exists, then the export operation fails.
+  bool override_existing_table = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool.proto
new file mode 100644
index 000000000..2f2900433
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool.proto
@@ -0,0 +1,57 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "SpecialistPoolProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// SpecialistPool represents customers' own workforce to work on their data
+// labeling jobs. It includes a group of specialist managers who are responsible
+// for managing the labelers in this pool as well as customers' data labeling
+// jobs associated with this pool.
+// Customers create specialist pool as well as start data labeling jobs on
+// Cloud, managers and labelers work with the jobs using CrowdCompute console.
+message SpecialistPool {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/SpecialistPool"
+    pattern: "projects/{project}/locations/{location}/specialistPools/{specialist_pool}"
+  };
+
+  // Required. The resource name of the SpecialistPool.
+  string name = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The user-defined name of the SpecialistPool.
+  // The name can be up to 128 characters long and can be consist of any UTF-8
+  // characters.
+  // This field should be unique on project-level.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. The number of Specialists in this SpecialistPool.
+  int32 specialist_managers_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The email addresses of the specialists in the SpecialistPool.
+  repeated string specialist_manager_emails = 4;
+
+  // Output only. The resource name of the pending data labeling jobs.
+  repeated string pending_data_labeling_jobs = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool_service.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool_service.proto
new file mode 100644
index 000000000..3ac9f3889
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/specialist_pool_service.proto
@@ -0,0 +1,209 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/operation.proto";
+import "google/cloud/aiplatform/v1/specialist_pool.proto";
+import "google/longrunning/operations.proto";
+import "google/protobuf/field_mask.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "SpecialistPoolServiceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A service for creating and managing Customer SpecialistPools.
+// When customers start Data Labeling jobs, they can reuse/create Specialist
+// Pools to bring their own Specialists to label the data.
+// Customers can add/remove Managers for the Specialist Pool on Cloud console,
+// then Managers will get email notifications to manage Specialists and tasks on
+// CrowdCompute console.
+service SpecialistPoolService {
+  option (google.api.default_host) = "aiplatform.googleapis.com";
+  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+
+  // Creates a SpecialistPool.
+  rpc CreateSpecialistPool(CreateSpecialistPoolRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*}/specialistPools"
+      body: "specialist_pool"
+    };
+    option (google.api.method_signature) = "parent,specialist_pool";
+    option (google.longrunning.operation_info) = {
+      response_type: "SpecialistPool"
+      metadata_type: "CreateSpecialistPoolOperationMetadata"
+    };
+  }
+
+  // Gets a SpecialistPool.
+  rpc GetSpecialistPool(GetSpecialistPoolRequest) returns (SpecialistPool) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/specialistPools/*}"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
+  // Lists SpecialistPools in a Location.
+  rpc ListSpecialistPools(ListSpecialistPoolsRequest) returns (ListSpecialistPoolsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*}/specialistPools"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
+  // Deletes a SpecialistPool as well as all Specialists in the pool.
+  rpc DeleteSpecialistPool(DeleteSpecialistPoolRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/specialistPools/*}"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Updates a SpecialistPool.
+  rpc UpdateSpecialistPool(UpdateSpecialistPoolRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      patch: "/v1/{specialist_pool.name=projects/*/locations/*/specialistPools/*}"
+      body: "specialist_pool"
+    };
+    option (google.api.method_signature) = "specialist_pool,update_mask";
+    option (google.longrunning.operation_info) = {
+      response_type: "SpecialistPool"
+      metadata_type: "UpdateSpecialistPoolOperationMetadata"
+    };
+  }
+}
+
+// Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+message CreateSpecialistPoolRequest {
+  // Required. The parent Project name for the new SpecialistPool.
+  // The form is `projects/{project}/locations/{location}`.
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // Required. The SpecialistPool to create.
+  SpecialistPool specialist_pool = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Runtime operation information for
+// [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
+message CreateSpecialistPoolOperationMetadata {
+  // The operation generic information.
+  GenericOperationMetadata generic_metadata = 1;
+}
+
+// Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
+message GetSpecialistPoolRequest {
+  // Required. The name of the SpecialistPool resource.
+  // The form is
+  //
+  // `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/SpecialistPool"
+    }
+  ];
+}
+
+// Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+message ListSpecialistPoolsRequest {
+  // Required. The name of the SpecialistPool's parent resource.
+  // Format: `projects/{project}/locations/{location}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "locations.googleapis.com/Location"
+    }
+  ];
+
+  // The standard list page size.
+  int32 page_size = 2;
+
+  // The standard list page token.
+  // Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token] of
+  // the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools] call. Return
+  // first page if empty.
+  string page_token = 3;
+
+  // Mask specifying which fields to read. FieldMask represents a set of
+  google.protobuf.FieldMask read_mask = 4;
+}
+
+// Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
+message ListSpecialistPoolsResponse {
+  // A list of SpecialistPools that matches the specified filter in the request.
+  repeated SpecialistPool specialist_pools = 1;
+
+  // The standard List next-page token.
+  string next_page_token = 2;
+}
+
+// Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
+message DeleteSpecialistPoolRequest {
+  // Required. The resource name of the SpecialistPool to delete. Format:
+  // `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/SpecialistPool"
+    }
+  ];
+
+  // If set to true, any specialist managers in this SpecialistPool will also be
+  // deleted. (Otherwise, the request will only work if the SpecialistPool has
+  // no specialist managers.)
+  bool force = 2;
+}
+
+// Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+message UpdateSpecialistPoolRequest {
+  // Required. The SpecialistPool which replaces the resource on the server.
+  SpecialistPool specialist_pool = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The update mask applies to the resource.
+  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Runtime operation metadata for
+// [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
+message UpdateSpecialistPoolOperationMetadata {
+  // Output only. The name of the SpecialistPool to which the specialists are being added.
+  // Format:
+  //
+  // `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
+  string specialist_pool = 1 [
+    (google.api.field_behavior) = OUTPUT_ONLY,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/SpecialistPool"
+    }
+  ];
+
+  // The operation generic information.
+  GenericOperationMetadata generic_metadata = 2;
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/study.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/study.proto
new file mode 100644
index 000000000..7e54aa9b4
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/study.proto
@@ -0,0 +1,355 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/duration.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/protobuf/wrappers.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "StudyProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// A message representing a Trial. A Trial contains a unique set of Parameters
+// that has been or will be evaluated, along with the objective metrics got by
+// running the Trial.
+message Trial {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Trial"
+    pattern: "projects/{project}/locations/{location}/studies/{study}/trials/{trial}"
+  };
+
+  // A message representing a parameter to be tuned.
+  message Parameter {
+    // Output only. The ID of the parameter. The parameter should be defined in
+    // [StudySpec's Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
+    string parameter_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. The value of the parameter.
+    // `number_value` will be set if a parameter defined in StudySpec is
+    // in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
+    // `string_value` will be set if a parameter defined in StudySpec is
+    // in type 'CATEGORICAL'.
+    google.protobuf.Value value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  }
+
+  // Describes a Trial state.
+  enum State {
+    // The Trial state is unspecified.
+    STATE_UNSPECIFIED = 0;
+
+    // Indicates that a specific Trial has been requested, but it has not yet
+    // been suggested by the service.
+    REQUESTED = 1;
+
+    // Indicates that the Trial has been suggested.
+    ACTIVE = 2;
+
+    // Indicates that the Trial should stop according to the service.
+    STOPPING = 3;
+
+    // Indicates that the Trial is completed successfully.
+    SUCCEEDED = 4;
+
+    // Indicates that the Trial should not be attempted again.
+    // The service will set a Trial to INFEASIBLE when it's done but missing
+    // the final_measurement.
+    INFEASIBLE = 5;
+  }
+
+  // Output only. The identifier of the Trial assigned by the service.
+  string id = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The detailed state of the Trial.
+  State state = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The parameters of the Trial.
+  repeated Parameter parameters = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The final measurement containing the objective value.
+  Measurement final_measurement = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the Trial was started.
+  google.protobuf.Timestamp start_time = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
+  google.protobuf.Timestamp end_time = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The CustomJob name linked to the Trial.
+  // It's set for a HyperparameterTuningJob's Trial.
+  string custom_job = 11 [
+    (google.api.field_behavior) = OUTPUT_ONLY,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/CustomJob"
+    }
+  ];
+}
+
+// Represents specification of a Study.
+message StudySpec {
+  // Represents a metric to optimize.
+  message MetricSpec {
+    // The available types of optimization goals.
+    enum GoalType {
+      // Goal Type will default to maximize.
+      GOAL_TYPE_UNSPECIFIED = 0;
+
+      // Maximize the goal metric.
+      MAXIMIZE = 1;
+
+      // Minimize the goal metric.
+      MINIMIZE = 2;
+    }
+
+    // Required. The ID of the metric. Must not contain whitespaces and must be unique
+    // amongst all MetricSpecs.
+    string metric_id = 1 [(google.api.field_behavior) = REQUIRED];
+
+    // Required. The optimization goal of the metric.
+    GoalType goal = 2 [(google.api.field_behavior) = REQUIRED];
+  }
+
+  // Represents a single parameter to optimize.
+  message ParameterSpec {
+    // Value specification for a parameter in `DOUBLE` type.
+    message DoubleValueSpec {
+      // Required. Inclusive minimum value of the parameter.
+      double min_value = 1 [(google.api.field_behavior) = REQUIRED];
+
+      // Required. Inclusive maximum value of the parameter.
+      double max_value = 2 [(google.api.field_behavior) = REQUIRED];
+    }
+
+    // Value specification for a parameter in `INTEGER` type.
+    message IntegerValueSpec {
+      // Required. Inclusive minimum value of the parameter.
+      int64 min_value = 1 [(google.api.field_behavior) = REQUIRED];
+
+      // Required. Inclusive maximum value of the parameter.
+      int64 max_value = 2 [(google.api.field_behavior) = REQUIRED];
+    }
+
+    // Value specification for a parameter in `CATEGORICAL` type.
+    message CategoricalValueSpec {
+      // Required. The list of possible categories.
+      repeated string values = 1 [(google.api.field_behavior) = REQUIRED];
+    }
+
+    // Value specification for a parameter in `DISCRETE` type.
+    message DiscreteValueSpec {
+      // Required. A list of possible values.
+      // The list should be in increasing order and at least 1e-10 apart.
+      // For instance, this parameter might have possible settings of 1.5, 2.5,
+      // and 4.0. This list should not contain more than 1,000 values.
+      repeated double values = 1 [(google.api.field_behavior) = REQUIRED];
+    }
+
+    // Represents a parameter spec with condition from its parent parameter.
+    message ConditionalParameterSpec {
+      // Represents the spec to match discrete values from parent parameter.
+      message DiscreteValueCondition {
+        // Required. Matches values of the parent parameter of 'DISCRETE' type.
+        // All values must exist in `discrete_value_spec` of parent parameter.
+        //
+        // The Epsilon of the value matching is 1e-10.
+        repeated double values = 1 [(google.api.field_behavior) = REQUIRED];
+      }
+
+      // Represents the spec to match integer values from parent parameter.
+      message IntValueCondition {
+        // Required. Matches values of the parent parameter of 'INTEGER' type.
+        // All values must lie in `integer_value_spec` of parent parameter.
+        repeated int64 values = 1 [(google.api.field_behavior) = REQUIRED];
+      }
+
+      // Represents the spec to match categorical values from parent parameter.
+      message CategoricalValueCondition {
+        // Required. Matches values of the parent parameter of 'CATEGORICAL' type.
+        // All values must exist in `categorical_value_spec` of parent
+        // parameter.
+        repeated string values = 1 [(google.api.field_behavior) = REQUIRED];
+      }
+
+      // A set of parameter values from the parent ParameterSpec's feasible
+      // space.
+      oneof parent_value_condition {
+        // The spec for matching values from a parent parameter of
+        // `DISCRETE` type.
+        DiscreteValueCondition parent_discrete_values = 2;
+
+        // The spec for matching values from a parent parameter of `INTEGER`
+        // type.
+        IntValueCondition parent_int_values = 3;
+
+        // The spec for matching values from a parent parameter of
+        // `CATEGORICAL` type.
+        CategoricalValueCondition parent_categorical_values = 4;
+      }
+
+      // Required. The spec for a conditional parameter.
+      ParameterSpec parameter_spec = 1 [(google.api.field_behavior) = REQUIRED];
+    }
+
+    // The type of scaling that should be applied to this parameter.
+    enum ScaleType {
+      // By default, no scaling is applied.
+      SCALE_TYPE_UNSPECIFIED = 0;
+
+      // Scales the feasible space to (0, 1) linearly.
+      UNIT_LINEAR_SCALE = 1;
+
+      // Scales the feasible space logarithmically to (0, 1). The entire
+      // feasible space must be strictly positive.
+      UNIT_LOG_SCALE = 2;
+
+      // Scales the feasible space "reverse" logarithmically to (0, 1). The
+      // result is that values close to the top of the feasible space are spread
+      // out more than points near the bottom. The entire feasible space must be
+      // strictly positive.
+      UNIT_REVERSE_LOG_SCALE = 3;
+    }
+
+    oneof parameter_value_spec {
+      // The value spec for a 'DOUBLE' parameter.
+      DoubleValueSpec double_value_spec = 2;
+
+      // The value spec for an 'INTEGER' parameter.
+      IntegerValueSpec integer_value_spec = 3;
+
+      // The value spec for a 'CATEGORICAL' parameter.
+      CategoricalValueSpec categorical_value_spec = 4;
+
+      // The value spec for a 'DISCRETE' parameter.
+      DiscreteValueSpec discrete_value_spec = 5;
+    }
+
+    // Required. The ID of the parameter. Must not contain whitespaces and must be unique
+    // amongst all ParameterSpecs.
+    string parameter_id = 1 [(google.api.field_behavior) = REQUIRED];
+
+    // How the parameter should be scaled.
+    // Leave unset for `CATEGORICAL` parameters.
+    ScaleType scale_type = 6;
+
+    // A conditional parameter node is active if the parameter's value matches
+    // the conditional node's parent_value_condition.
+    //
+    // If two items in conditional_parameter_specs have the same name, they
+    // must have disjoint parent_value_condition.
+    repeated ConditionalParameterSpec conditional_parameter_specs = 10;
+  }
+
+  // The available search algorithms for the Study.
+  enum Algorithm {
+    // The default algorithm used by AI Platform Optimization service.
+    ALGORITHM_UNSPECIFIED = 0;
+
+    // Simple grid search within the feasible space. To use grid search,
+    // all parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
+    GRID_SEARCH = 2;
+
+    // Simple random search within the feasible space.
+    RANDOM_SEARCH = 3;
+  }
+
+  // Describes the noise level of the repeated observations.
+  //
+  // "Noisy" means that the repeated observations with the same Trial parameters
+  // may lead to different metric evaluations.
+  enum ObservationNoise {
+    // The default noise level chosen by the AI Platform service.
+    OBSERVATION_NOISE_UNSPECIFIED = 0;
+
+    // AI Platform Vizier assumes that the objective function is (nearly)
+    // perfectly reproducible, and will never repeat the same Trial
+    // parameters.
+    LOW = 1;
+
+    // AI Platform Vizier will estimate the amount of noise in metric
+    // evaluations, it may repeat the same Trial parameters more than once.
+    HIGH = 2;
+  }
+
+  // This indicates which measurement to use if/when the service automatically
+  // selects the final measurement from previously reported intermediate
+  // measurements. Choose this based on two considerations:
+  //  A) Do you expect your measurements to monotonically improve?
+  //     If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
+  //     situation where your system can "over-train" and you expect the
+  //     performance to get better for a while but then start declining,
+  //     choose BEST_MEASUREMENT.
+  //  B) Are your measurements significantly noisy and/or irreproducible?
+  //     If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
+  //     may be better to choose LAST_MEASUREMENT.
+  //  If both or neither of (A) and (B) apply, it doesn't matter which
+  //  selection type is chosen.
+  enum MeasurementSelectionType {
+    // Will be treated as LAST_MEASUREMENT.
+    MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;
+
+    // Use the last measurement reported.
+    LAST_MEASUREMENT = 1;
+
+    // Use the best measurement reported.
+    BEST_MEASUREMENT = 2;
+  }
+
+  // Required. Metric specs for the Study.
+  repeated MetricSpec metrics = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The set of parameters to tune.
+  repeated ParameterSpec parameters = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // The search algorithm specified for the Study.
+  Algorithm algorithm = 3;
+
+  // The observation noise level of the study.
+  // Currently only supported by the Vizier service. Not supported by
+  // HyperparamterTuningJob or TrainingPipeline.
+  ObservationNoise observation_noise = 6;
+
+  // Describe which measurement selection type will be used
+  MeasurementSelectionType measurement_selection_type = 7;
+}
+
+// A message representing a Measurement of a Trial. A Measurement contains
+// the Metrics got by executing a Trial using suggested hyperparameter
+// values.
+message Measurement {
+  // A message representing a metric in the measurement.
+  message Metric {
+    // Output only. The ID of the Metric. The Metric should be defined in
+    // [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
+    string metric_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+    // Output only. The value for this metric.
+    double value = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  }
+
+  // Output only. The number of steps the machine learning model has been trained for.
+  // Must be non-negative.
+  int64 step_count = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. A list of metrics got by evaluating the objective functions using suggested
+  // Parameter values.
+  repeated Metric metrics = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/training_pipeline.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/training_pipeline.proto
new file mode 100644
index 000000000..1ede99df0
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/training_pipeline.proto
@@ -0,0 +1,356 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1/io.proto";
+import "google/cloud/aiplatform/v1/machine_resources.proto";
+import "google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto";
+import "google/cloud/aiplatform/v1/model.proto";
+import "google/cloud/aiplatform/v1/pipeline_state.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+import "google/rpc/status.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "TrainingPipelineProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// The TrainingPipeline orchestrates tasks associated with training a Model. It
+// always executes the training task, and optionally may also
+// export data from AI Platform's Dataset which becomes the training input,
+// [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to AI Platform, and evaluate the
+// Model.
+message TrainingPipeline {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/TrainingPipeline"
+    pattern: "projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}"
+  };
+
+  // Output only. Resource name of the TrainingPipeline.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The user-defined name of this TrainingPipeline.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Specifies AI Platform owned input data that may be used for training the
+  // Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make
+  // clear whether this config is used and if there are any special requirements
+  // on how it should be filled. If nothing about this config is mentioned in
+  // the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that the
+  // TrainingPipeline does not depend on this configuration.
+  InputDataConfig input_data_config = 3;
+
+  // Required. A Google Cloud Storage path to the YAML file that defines the training task
+  // which is responsible for producing the model artifact, and may also include
+  // additional auxiliary work.
+  // The definition files that can be used here are found in
+  // gs://google-cloud-aiplatform/schema/trainingjob/definition/.
+  // Note: The URI given on output will be immutable and probably different,
+  // including the URI scheme, than the one given on input. The output URI will
+  // point to a location where the user only has a read access.
+  string training_task_definition = 4 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The training task's parameter(s), as specified in the
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s `inputs`.
+  google.protobuf.Value training_task_inputs = 5 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition]'s
+  // `metadata`. This metadata is an auxiliary runtime and final information
+  // about the training task. While the pipeline is running this information is
+  // populated only at a best effort basis. Only present if the
+  // pipeline's [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] contains `metadata` object.
+  google.protobuf.Value training_task_metadata = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
+  // by this TrainingPipeline. The TrainingPipeline's
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition] should make clear whether this Model
+  // description should be populated, and if there are any special requirements
+  // regarding how it should be filled. If nothing is mentioned in the
+  // [training_task_definition][google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition], then it should be assumed that this field
+  // should not be filled and the training task either uploads the Model without
+  // a need of this information, or that training task does not support
+  // uploading a Model as part of the pipeline.
+  // When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
+  // the trained Model had been uploaded into AI Platform, then the
+  // model_to_upload's resource [name][google.cloud.aiplatform.v1.Model.name] is populated. The Model
+  // is always uploaded into the Project and Location in which this pipeline
+  // is.
+  Model model_to_upload = 7;
+
+  // Output only. The detailed state of the pipeline.
+  PipelineState state = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
+  // `PIPELINE_STATE_CANCELLED`.
+  google.rpc.Status error = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the TrainingPipeline was created.
+  google.protobuf.Timestamp create_time = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the TrainingPipeline for the first time entered the
+  // `PIPELINE_STATE_RUNNING` state.
+  google.protobuf.Timestamp start_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the TrainingPipeline entered any of the following states:
+  // `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
+  // `PIPELINE_STATE_CANCELLED`.
+  google.protobuf.Timestamp end_time = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Time when the TrainingPipeline was most recently updated.
+  google.protobuf.Timestamp update_time = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // The labels with user-defined metadata to organize TrainingPipelines.
+  //
+  // Label keys and values can be no longer than 64 characters
+  // (Unicode codepoints), can only contain lowercase letters, numeric
+  // characters, underscores and dashes. International characters are allowed.
+  //
+  // See https://goo.gl/xmQnxf for more information and examples of labels.
+  map<string, string> labels = 15;
+
+  // Customer-managed encryption key spec for a TrainingPipeline. If set, this
+  // TrainingPipeline will be secured by this key.
+  //
+  // Note: Model trained by this TrainingPipeline is also secured by this key if
+  // [model_to_upload][google.cloud.aiplatform.v1.TrainingPipeline.encryption_spec] is not set separately.
+  EncryptionSpec encryption_spec = 18;
+}
+
+// Specifies AI Platform owned input data to be used for training, and
+// possibly evaluating, the Model.
+message InputDataConfig {
+  // The instructions how the input data should be split between the
+  // training, validation and test sets.
+  // If no split type is provided, the [fraction_split][google.cloud.aiplatform.v1.InputDataConfig.fraction_split] is used by default.
+  oneof split {
+    // Split based on fractions defining the size of each set.
+    FractionSplit fraction_split = 2;
+
+    // Split based on the provided filters for each set.
+    FilterSplit filter_split = 3;
+
+    // Supported only for tabular Datasets.
+    //
+    // Split based on a predefined key.
+    PredefinedSplit predefined_split = 4;
+
+    // Supported only for tabular Datasets.
+    //
+    // Split based on the timestamp of the input data pieces.
+    TimestampSplit timestamp_split = 5;
+  }
+
+  // Only applicable to Custom and Hyperparameter Tuning TrainingPipelines.
+  //
+  // The destination of the training data to be written to.
+  //
+  // Supported destination file formats:
+  //   * For non-tabular data: "jsonl".
+  //   * For tabular data: "csv" and "bigquery".
+  //
+  // The following AI Platform environment variables are passed to containers
+  // or python modules of the training task when this field is set:
+  //
+  // * AIP_DATA_FORMAT : Exported data format.
+  // * AIP_TRAINING_DATA_URI : Sharded exported training data uris.
+  // * AIP_VALIDATION_DATA_URI : Sharded exported validation data uris.
+  // * AIP_TEST_DATA_URI : Sharded exported test data uris.
+  oneof destination {
+    // The Cloud Storage location where the training data is to be
+    // written to. In the given directory a new directory is created with
+    // name:
+    // `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
+    // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
+    // All training input data is written into that directory.
+    //
+    // The AI Platform environment variables representing Cloud Storage
+    // data URIs are represented in the Cloud Storage wildcard
+    // format to support sharded data. e.g.: "gs://.../training-*.jsonl"
+    //
+    // * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
+    // * AIP_TRAINING_DATA_URI =
+    //
+    // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
+    //
+    // * AIP_VALIDATION_DATA_URI =
+    //
+    // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
+    //
+    // * AIP_TEST_DATA_URI =
+    //
+    // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
+    GcsDestination gcs_destination = 8;
+
+    // Only applicable to custom training with tabular Dataset with BigQuery
+    // source.
+    //
+    // The BigQuery project location where the training data is to be written
+    // to. In the given project a new dataset is created with name
+    // `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
+    // where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
+    // input data is written into that dataset. In the dataset three
+    // tables are created, `training`, `validation` and `test`.
+    //
+    // * AIP_DATA_FORMAT = "bigquery".
+    // * AIP_TRAINING_DATA_URI  =
+    //
+    // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
+    //
+    // * AIP_VALIDATION_DATA_URI =
+    //
+    // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
+    //
+    // * AIP_TEST_DATA_URI =
+    // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
+    BigQueryDestination bigquery_destination = 10;
+  }
+
+  // Required. The ID of the Dataset in the same Project and Location which data will be
+  // used to train the Model. The Dataset must use schema compatible with
+  // Model being trained, and what is compatible should be described in the
+  // used TrainingPipeline's [training_task_definition]
+  // [google.cloud.aiplatform.v1.TrainingPipeline.training_task_definition].
+  // For tabular Datasets, all their data is exported to training, to pick
+  // and choose from.
+  string dataset_id = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Applicable only to Datasets that have DataItems and Annotations.
+  //
+  // A filter on Annotations of the Dataset. Only Annotations that both
+  // match this filter and belong to DataItems not ignored by the split method
+  // are used in respectively training, validation or test role, depending on
+  // the role of the DataItem they are on (for the auto-assigned that role is
+  // decided by AI Platform). A filter with same syntax as the one used in
+  // [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations] may be used, but note
+  // here it filters across all Annotations of the Dataset, and not just within
+  // a single DataItem.
+  string annotations_filter = 6;
+
+  // Applicable only to custom training with Datasets that have DataItems and
+  // Annotations.
+  //
+  // Cloud Storage URI that points to a YAML file describing the annotation
+  // schema. The schema is defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // The schema files that can be used here are found in
+  // gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+  // chosen schema must be consistent with
+  // [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the Dataset specified by
+  // [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id].
+  //
+  // Only Annotations that both match this schema and belong to DataItems not
+  // ignored by the split method are used in respectively training, validation
+  // or test role, depending on the role of the DataItem they are on.
+  //
+  // When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used
+  // for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
+  // [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
+  string annotation_schema_uri = 9;
+}
+
+// Assigns the input data to training, validation, and test sets as per the
+// given fractions. Any of `training_fraction`, `validation_fraction` and
+// `test_fraction` may optionally be provided, they must sum to up to 1. If the
+// provided ones sum to less than 1, the remainder is assigned to sets as
+// decided by AI Platform. If none of the fractions are set, by default roughly
+// 80% of data is used for training, 10% for validation, and 10% for test.
+message FractionSplit {
+  // The fraction of the input data that is to be used to train the Model.
+  double training_fraction = 1;
+
+  // The fraction of the input data that is to be used to validate the Model.
+  double validation_fraction = 2;
+
+  // The fraction of the input data that is to be used to evaluate the Model.
+  double test_fraction = 3;
+}
+
+// Assigns input data to training, validation, and test sets based on the given
+// filters, data pieces not matched by any filter are ignored. Currently only
+// supported for Datasets containing DataItems.
+// If any of the filters in this message are to match nothing, then they can be
+// set as '-' (the minus sign).
+//
+// Supported only for unstructured Datasets.
+//
+message FilterSplit {
+  // Required. A filter on DataItems of the Dataset. DataItems that match
+  // this filter are used to train the Model. A filter with same syntax
+  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+  // single DataItem is matched by more than one of the FilterSplit filters,
+  // then it is assigned to the first set that applies to it in the
+  // training, validation, test order.
+  string training_filter = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. A filter on DataItems of the Dataset. DataItems that match
+  // this filter are used to validate the Model. A filter with same syntax
+  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+  // single DataItem is matched by more than one of the FilterSplit filters,
+  // then it is assigned to the first set that applies to it in the
+  // training, validation, test order.
+  string validation_filter = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. A filter on DataItems of the Dataset. DataItems that match
+  // this filter are used to test the Model. A filter with same syntax
+  // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems] may be used. If a
+  // single DataItem is matched by more than one of the FilterSplit filters,
+  // then it is assigned to the first set that applies to it in the
+  // training, validation, test order.
+  string test_filter = 3 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Assigns input data to training, validation, and test sets based on the
+// value of a provided key.
+//
+// Supported only for tabular Datasets.
+message PredefinedSplit {
+  // Required. The key is a name of one of the Dataset's data columns.
+  // The value of the key (either the label's value or value in the column)
+  // must be one of {`training`, `validation`, `test`}, and it defines to which
+  // set the given piece of data is assigned. If for a piece of data the key
+  // is not present or has an invalid value, that piece is ignored by the
+  // pipeline.
+  string key = 1 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Assigns input data to training, validation, and test sets based on a
+// provided timestamps. The youngest data pieces are assigned to training set,
+// next to validation set, and the oldest to the test set.
+//
+// Supported only for tabular Datasets.
+message TimestampSplit {
+  // The fraction of the input data that is to be used to train the Model.
+  double training_fraction = 1;
+
+  // The fraction of the input data that is to be used to validate the Model.
+  double validation_fraction = 2;
+
+  // The fraction of the input data that is to be used to evaluate the Model.
+  double test_fraction = 3;
+
+  // Required. The key is a name of one of the Dataset's data columns.
+  // The values of the key (the values in the column) must be in RFC 3339
+  // `date-time` format, where `time-offset` = `"Z"`
+  // (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
+  // present or has an invalid value, that piece is ignored by the pipeline.
+  string key = 4 [(google.api.field_behavior) = REQUIRED];
+}
diff --git a/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/user_action_reference.proto b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/user_action_reference.proto
new file mode 100644
index 000000000..88e66fb72
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/user_action_reference.proto
@@ -0,0 +1,47 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "UserActionReferenceProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+
+// References an API call. It contains more information about long running
+// operation and Jobs that are triggered by the API call.
+message UserActionReference {
+  oneof reference {
+    // For API calls that return a long running operation.
+    // Resource name of the long running operation.
+    // Format:
+    // 'projects/{project}/locations/{location}/operations/{operation}'
+    string operation = 1;
+
+    // For API calls that start a LabelingJob.
+    // Resource name of the LabelingJob.
+    // Format:
+    //
+    // 'projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}'
+    string data_labeling_job = 2;
+  }
+
+  // The method name of the API call. For example,
+  // "/google.cloud.aiplatform.v1alpha1.DatasetService.CreateDataset"
+  string method = 3;
+}
diff --git a/samples/snippets/resources/caprese_salad.jpg b/samples/snippets/resources/caprese_salad.jpg
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literal 0
HcmV?d00001

diff --git a/samples/snippets/src/test/java/aiplatform/PredictImageObjectDetectionSampleTest.java b/samples/snippets/src/test/java/aiplatform/PredictImageObjectDetectionSampleTest.java
index 1539c7dfb..d9f1ebbd6 100644
--- a/samples/snippets/src/test/java/aiplatform/PredictImageObjectDetectionSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/PredictImageObjectDetectionSampleTest.java
@@ -30,7 +30,7 @@
 public class PredictImageObjectDetectionSampleTest {
 
   private static final String PROJECT = System.getenv("UCAIP_PROJECT_ID");
-  private static final String FILE_NAME = "resources/caprese_salad.jpg";
+  private static final String FILE_NAME = "resources/iod_caprese_salad.jpg";
   private static final String ENDPOINT_ID = System.getenv("IMAGE_OBJECT_DETECTION_ENDPOINT_ID");
   private ByteArrayOutputStream bout;
   private PrintStream out;
diff --git a/synth.metadata b/synth.metadata
index a7cded8ce..1356a4585 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -32,6 +32,15 @@
         "language": "java",
         "generator": "bazel"
       }
+    },
+    {
+      "client": {
+        "source": "googleapis",
+        "apiName": "aiplatform",
+        "apiVersion": "v1",
+        "language": "java",
+        "generator": "bazel"
+      }
     }
   ],
   "generatedFiles": [
diff --git a/synth.py b/synth.py
index 531d5293a..c8c045de8 100644
--- a/synth.py
+++ b/synth.py
@@ -19,7 +19,7 @@
 import synthtool.languages.java as java
 
 service = 'aiplatform'
-versions = ['v1beta1']
+versions = ['v1beta1', 'v1']
 
 for version in versions:
   java.bazel_library(
@@ -33,4 +33,4 @@
   '.kokoro/build.sh',
   '.kokoro/nightly/samples.cfg',
   '.kokoro/presubmit/samples.cfg',
-])
\ No newline at end of file
+])
diff --git a/versions.txt b/versions.txt
index a19f628bc..16a4217bd 100644
--- a/versions.txt
+++ b/versions.txt
@@ -2,5 +2,7 @@
 # module:released-version:current-version
 
 google-cloud-aiplatform:0.2.0:0.2.1-SNAPSHOT
+proto-google-cloud-aiplatform-v1:0.2.0:0.2.1-SNAPSHOT
 proto-google-cloud-aiplatform-v1beta1:0.2.0:0.2.1-SNAPSHOT
+grpc-google-cloud-aiplatform-v1:0.2.0:0.2.1-SNAPSHOT
 grpc-google-cloud-aiplatform-v1beta1:0.2.0:0.2.1-SNAPSHOT
\ No newline at end of file

From 2bc6541ab0fffbc4ede8e80cab00be8c8498ea48 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Tue, 23 Feb 2021 13:17:55 -0800
Subject: [PATCH 28/36]  build: reduce download junk in log files (#168)

* changes without context

        autosynth cannot find the source of changes triggered by earlier changes in this
        repository, or by version upgrades to tools such as linters.

* build: reduce download junk in log files

* fix: less download junk log files

* Update build.sh

Source-Author: Elliotte Rusty Harold <elharo@users.noreply.github.com>
Source-Date: Fri Feb 19 01:42:29 2021 +0000
Source-Repo: googleapis/synthtool
Source-Sha: 6946fd71ae9215b0e7ae188f5057df765ee6d7d2
Source-Link: https://github.com/googleapis/synthtool/commit/6946fd71ae9215b0e7ae188f5057df765ee6d7d2
---
 .kokoro/dependencies.sh                       |    4 +-
 .../v1beta1/DatasetServiceClient.java         |    5 +-
 .../v1beta1/DatasetServiceSettings.java       |    1 -
 .../v1beta1/EndpointServiceClient.java        |    5 +-
 .../v1beta1/EndpointServiceSettings.java      |    1 -
 .../aiplatform/v1beta1/JobServiceClient.java  |    2 +-
 .../v1beta1/JobServiceSettings.java           |    1 -
 .../v1beta1/MigrationServiceClient.java       |    2 +-
 .../v1beta1/MigrationServiceSettings.java     |    1 -
 .../v1beta1/ModelServiceClient.java           |    6 +-
 .../v1beta1/ModelServiceSettings.java         |    1 -
 .../v1beta1/PipelineServiceClient.java        |    2 +-
 .../v1beta1/PipelineServiceSettings.java      |    1 -
 .../v1beta1/PredictionServiceClient.java      |    2 +-
 .../v1beta1/PredictionServiceSettings.java    |    1 -
 .../v1beta1/SpecialistPoolServiceClient.java  |    2 +-
 .../SpecialistPoolServiceSettings.java        |    1 -
 .../v1beta1/stub/DatasetServiceStub.java      |    4 +-
 .../v1beta1/stub/EndpointServiceStub.java     |    4 +-
 .../GrpcDatasetServiceCallableFactory.java    |    4 +-
 .../v1beta1/stub/GrpcDatasetServiceStub.java  |    2 -
 .../GrpcEndpointServiceCallableFactory.java   |    4 +-
 .../v1beta1/stub/GrpcEndpointServiceStub.java |    2 -
 .../stub/GrpcJobServiceCallableFactory.java   |    4 +-
 .../v1beta1/stub/GrpcJobServiceStub.java      |    2 -
 .../GrpcMigrationServiceCallableFactory.java  |    4 +-
 .../stub/GrpcMigrationServiceStub.java        |    2 -
 .../stub/GrpcModelServiceCallableFactory.java |    4 +-
 .../v1beta1/stub/GrpcModelServiceStub.java    |    2 -
 .../GrpcPipelineServiceCallableFactory.java   |    4 +-
 .../v1beta1/stub/GrpcPipelineServiceStub.java |    2 -
 .../GrpcPredictionServiceCallableFactory.java |    4 +-
 .../stub/GrpcPredictionServiceStub.java       |    2 -
 ...cSpecialistPoolServiceCallableFactory.java |    4 +-
 .../stub/GrpcSpecialistPoolServiceStub.java   |    2 -
 .../v1beta1/stub/JobServiceStub.java          |    4 +-
 .../v1beta1/stub/MigrationServiceStub.java    |    4 +-
 .../v1beta1/stub/ModelServiceStub.java        |    4 +-
 .../v1beta1/stub/PipelineServiceStub.java     |    4 +-
 .../v1beta1/stub/PredictionServiceStub.java   |    4 +-
 .../stub/SpecialistPoolServiceStub.java       |    4 +-
 .../v1beta1/DatasetServiceClientTest.java     |    5 -
 .../v1beta1/EndpointServiceClientTest.java    |    5 -
 .../v1beta1/JobServiceClientTest.java         |   16 -
 .../v1beta1/ModelServiceClientTest.java       |    5 -
 .../v1beta1/PipelineServiceClientTest.java    |    4 -
 .../v1beta1/ActiveLearningConfig.java         |    4 +-
 .../cloud/aiplatform/v1beta1/Attribution.java |  128 +-
 .../v1beta1/AttributionOrBuilder.java         |   33 +-
 ...atchMigrateResourcesOperationMetadata.java | 2403 +----------------
 ...teResourcesOperationMetadataOrBuilder.java |   69 -
 .../v1beta1/BatchPredictionJob.java           |  590 ++--
 .../v1beta1/BatchPredictionJobOrBuilder.java  |   93 +-
 .../v1beta1/BatchPredictionJobProto.java      |  136 +-
 .../v1beta1/BigQueryDestination.java          |   56 +-
 .../v1beta1/BigQueryDestinationOrBuilder.java |   16 +-
 .../cloud/aiplatform/v1beta1/CustomJob.java   |  304 ---
 .../v1beta1/CustomJobOrBuilder.java           |   41 -
 .../aiplatform/v1beta1/CustomJobProto.java    |  111 +-
 .../aiplatform/v1beta1/CustomJobSpec.java     |  221 +-
 .../v1beta1/CustomJobSpecOrBuilder.java       |   58 +-
 .../aiplatform/v1beta1/DataLabelingJob.java   |  340 +--
 .../v1beta1/DataLabelingJobOrBuilder.java     |   50 +-
 .../v1beta1/DataLabelingJobProto.java         |  112 +-
 .../cloud/aiplatform/v1beta1/Dataset.java     |  292 --
 .../aiplatform/v1beta1/DatasetOrBuilder.java  |   38 -
 .../aiplatform/v1beta1/DatasetProto.java      |   67 +-
 .../aiplatform/v1beta1/DeployedModel.java     |    8 +-
 .../v1beta1/DeployedModelOrBuilder.java       |    2 +-
 .../cloud/aiplatform/v1beta1/DiskSpec.java    |   14 +-
 .../aiplatform/v1beta1/DiskSpecOrBuilder.java |    4 +-
 .../aiplatform/v1beta1/EncryptionSpec.java    |  666 -----
 .../v1beta1/EncryptionSpecOrBuilder.java      |   58 -
 .../v1beta1/EncryptionSpecProto.java          |   78 -
 .../cloud/aiplatform/v1beta1/Endpoint.java    |  304 ---
 .../aiplatform/v1beta1/EndpointOrBuilder.java |   41 -
 .../aiplatform/v1beta1/EndpointProto.java     |   82 +-
 .../cloud/aiplatform/v1beta1/EnvVar.java      |   28 +-
 .../aiplatform/v1beta1/EnvVarOrBuilder.java   |    8 +-
 .../cloud/aiplatform/v1beta1/EnvVarProto.java |   12 +-
 .../aiplatform/v1beta1/ExplainRequest.java    |  383 ---
 .../v1beta1/ExplainRequestOrBuilder.java      |   60 -
 .../v1beta1/ExplanationMetadata.java          |   44 +-
 .../v1beta1/ExplanationMetadataOrBuilder.java |   20 +-
 .../v1beta1/ExplanationMetadataOverride.java  | 2094 --------------
 .../ExplanationMetadataOverrideOrBuilder.java |  120 -
 .../v1beta1/ExplanationParameters.java        |   24 +-
 .../ExplanationParametersOrBuilder.java       |    6 +-
 .../aiplatform/v1beta1/ExplanationProto.java  |   73 +-
 .../v1beta1/ExplanationSpecOverride.java      | 1051 -------
 .../ExplanationSpecOverrideOrBuilder.java     |  101 -
 .../v1beta1/ExportModelRequest.java           |  150 +-
 .../cloud/aiplatform/v1beta1/FilterSplit.java |   44 +-
 .../v1beta1/FilterSplitOrBuilder.java         |   12 +-
 .../aiplatform/v1beta1/FractionSplit.java     |    4 +-
 .../v1beta1/HyperparameterTuningJob.java      |  304 ---
 .../HyperparameterTuningJobOrBuilder.java     |   41 -
 .../v1beta1/HyperparameterTuningJobProto.java |   74 +-
 .../aiplatform/v1beta1/InputDataConfig.java   |  321 ++-
 .../v1beta1/InputDataConfigOrBuilder.java     |   84 +-
 .../aiplatform/v1beta1/JobServiceProto.java   |  410 ++-
 .../v1beta1/ListDatasetsRequest.java          |   98 +-
 .../v1beta1/ListDatasetsRequestOrBuilder.java |   28 +-
 .../v1beta1/ListEndpointsRequest.java         |   84 +-
 .../ListEndpointsRequestOrBuilder.java        |   24 +-
 .../aiplatform/v1beta1/ListModelsRequest.java |   98 +-
 .../v1beta1/ListModelsRequestOrBuilder.java   |   28 +-
 .../cloud/aiplatform/v1beta1/MachineSpec.java |  175 +-
 .../v1beta1/MachineSpecOrBuilder.java         |   50 +-
 .../v1beta1/MigrationServiceProto.java        |  189 +-
 .../cloud/aiplatform/v1beta1/Model.java       |  572 +---
 .../v1beta1/ModelContainerSpec.java           |   70 +-
 .../v1beta1/ModelContainerSpecOrBuilder.java  |   20 +-
 .../aiplatform/v1beta1/ModelEvaluation.java   | 1649 +----------
 .../v1beta1/ModelEvaluationOrBuilder.java     |   73 -
 .../v1beta1/ModelEvaluationProto.java         |   39 +-
 .../aiplatform/v1beta1/ModelExplanation.java  |   46 +-
 .../v1beta1/ModelExplanationOrBuilder.java    |   10 +-
 .../aiplatform/v1beta1/ModelOrBuilder.java    |  111 +-
 .../cloud/aiplatform/v1beta1/ModelProto.java  |  122 +-
 .../v1beta1/PredictionServiceProto.java       |   52 +-
 .../SearchMigratableResourcesRequest.java     |  235 --
 ...chMigratableResourcesRequestOrBuilder.java |   41 -
 .../aiplatform/v1beta1/SmoothGradConfig.java  |   32 +-
 .../v1beta1/SmoothGradConfigOrBuilder.java    |    8 +-
 .../cloud/aiplatform/v1beta1/StudyProto.java  |  176 +-
 .../cloud/aiplatform/v1beta1/StudySpec.java   |  698 -----
 .../v1beta1/StudySpecOrBuilder.java           |   59 -
 .../aiplatform/v1beta1/TrainingPipeline.java  |  340 +--
 .../v1beta1/TrainingPipelineOrBuilder.java    |   50 +-
 .../v1beta1/TrainingPipelineProto.java        |  130 +-
 .../cloud/aiplatform/v1beta1/TrialName.java   |  257 --
 .../v1beta1/UpdateDatasetRequest.java         |   36 +-
 .../UpdateDatasetRequestOrBuilder.java        |    9 +-
 .../v1beta1/UpdateEndpointRequest.java        |   24 -
 .../UpdateEndpointRequestOrBuilder.java       |    6 -
 .../v1beta1/UpdateModelRequest.java           |   48 +-
 .../v1beta1/UpdateModelRequestOrBuilder.java  |   12 +-
 .../aiplatform/v1beta1/WorkerPoolSpec.java    |   64 +-
 .../v1beta1/WorkerPoolSpecOrBuilder.java      |   16 +-
 .../aiplatform/v1beta1/XraiAttribution.java   |    4 +-
 .../v1beta1/batch_prediction_job.proto        |   39 +-
 .../cloud/aiplatform/v1beta1/custom_job.proto |   41 +-
 .../v1beta1/data_labeling_job.proto           |   12 +-
 .../cloud/aiplatform/v1beta1/dataset.proto    |    5 -
 .../aiplatform/v1beta1/dataset_service.proto  |   20 +-
 .../aiplatform/v1beta1/encryption_spec.proto  |   36 -
 .../cloud/aiplatform/v1beta1/endpoint.proto   |    8 +-
 .../aiplatform/v1beta1/endpoint_service.proto |   14 +-
 .../cloud/aiplatform/v1beta1/env_var.proto    |    4 +-
 .../aiplatform/v1beta1/explanation.proto      |   80 +-
 .../v1beta1/explanation_metadata.proto        |    4 +-
 .../v1beta1/hyperparameter_tuning_job.proto   |    6 -
 .../google/cloud/aiplatform/v1beta1/io.proto  |   10 +-
 .../aiplatform/v1beta1/job_service.proto      |    2 -
 .../v1beta1/machine_resources.proto           |   42 +-
 .../v1beta1/migratable_resource.proto         |    1 -
 .../v1beta1/migration_service.proto           |   41 -
 .../cloud/aiplatform/v1beta1/model.proto      |   37 +-
 .../aiplatform/v1beta1/model_evaluation.proto |   17 -
 .../aiplatform/v1beta1/model_service.proto    |   31 +-
 .../v1beta1/prediction_service.proto          |   10 -
 .../cloud/aiplatform/v1beta1/study.proto      |   56 -
 .../v1beta1/training_pipeline.proto           |   62 +-
 synth.metadata                                |   13 +-
 165 files changed, 2478 insertions(+), 15936 deletions(-)
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto

diff --git a/.kokoro/dependencies.sh b/.kokoro/dependencies.sh
index c91e5a569..0fb8c8436 100755
--- a/.kokoro/dependencies.sh
+++ b/.kokoro/dependencies.sh
@@ -31,7 +31,7 @@ export MAVEN_OPTS="-Xmx1024m -XX:MaxPermSize=128m"
 
 # this should run maven enforcer
 retry_with_backoff 3 10 \
-  mvn install -B -V \
+  mvn install -B -V -ntp \
     -DskipTests=true \
     -Dclirr.skip=true
 
@@ -86,4 +86,4 @@ then
 else
   msg "Errors found. See log statements above."
   exit 1
-fi
\ No newline at end of file
+fi
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
index 99e954f4e..496de9e90 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
@@ -92,7 +92,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class DatasetServiceClient implements BackgroundResource {
   private final DatasetServiceSettings settings;
   private final DatasetServiceStub stub;
@@ -276,7 +276,8 @@ public final UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
    *
    * @param dataset Required. The Dataset which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
-   *     definition, see [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   *     definition, see
+   *     <p>[FieldMask](https: //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
    *     Updatable fields:
    *     <p>&#42; `display_name` &#42; `description` &#42; `labels`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
index 1f03ae479..dfc367edc 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
@@ -71,7 +71,6 @@
  * DatasetServiceSettings datasetServiceSettings = datasetServiceSettingsBuilder.build();
  * }</pre>
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class DatasetServiceSettings extends ClientSettings<DatasetServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
index b84ee6035..83b583f35 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class EndpointServiceClient implements BackgroundResource {
   private final EndpointServiceSettings settings;
   private final EndpointServiceStub stub;
@@ -342,8 +342,7 @@ public final UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndp
    * Updates an Endpoint.
    *
    * @param endpoint Required. The Endpoint which replaces the resource on the server.
-   * @param updateMask Required. The update mask applies to the resource. See
-   *     [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * @param updateMask Required. The update mask applies to the resource.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
   public final Endpoint updateEndpoint(Endpoint endpoint, FieldMask updateMask) {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
index 2a6a8584a..0d18654ac 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
@@ -69,7 +69,6 @@
  * EndpointServiceSettings endpointServiceSettings = endpointServiceSettingsBuilder.build();
  * }</pre>
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class EndpointServiceSettings extends ClientSettings<EndpointServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
index 8e1a31a45..7425d2019 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
@@ -93,7 +93,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class JobServiceClient implements BackgroundResource {
   private final JobServiceSettings settings;
   private final JobServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
index 643c8a2db..3887fa8f6 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
@@ -71,7 +71,6 @@
  * JobServiceSettings jobServiceSettings = jobServiceSettingsBuilder.build();
  * }</pre>
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class JobServiceSettings extends ClientSettings<JobServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
index b1ba9e2d4..5631dc8d4 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class MigrationServiceClient implements BackgroundResource {
   private final MigrationServiceSettings settings;
   private final MigrationServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
index 8f084e1e6..37d770f56 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
@@ -68,7 +68,6 @@
  * MigrationServiceSettings migrationServiceSettings = migrationServiceSettingsBuilder.build();
  * }</pre>
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class MigrationServiceSettings extends ClientSettings<MigrationServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
index 98db0c3b1..1011361a2 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
@@ -94,7 +94,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class ModelServiceClient implements BackgroundResource {
   private final ModelServiceSettings settings;
   private final ModelServiceStub stub;
@@ -338,7 +338,9 @@ public final UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCall
    *
    * @param model Required. The Model which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
-   *     definition, see [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   *     definition, see
+   *     <p>[FieldMask](https: //developers.google.com/protocol-buffers //
+   *     /docs/reference/google.protobuf#fieldmask).
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
   public final Model updateModel(Model model, FieldMask updateMask) {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
index 8c7dbb2c3..333a9ee9b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
@@ -70,7 +70,6 @@
  * ModelServiceSettings modelServiceSettings = modelServiceSettingsBuilder.build();
  * }</pre>
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class ModelServiceSettings extends ClientSettings<ModelServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
index d5186847e..a803a8a6a 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class PipelineServiceClient implements BackgroundResource {
   private final PipelineServiceSettings settings;
   private final PipelineServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
index 4f1e9d135..9672468ae 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
@@ -69,7 +69,6 @@
  * PipelineServiceSettings pipelineServiceSettings = pipelineServiceSettingsBuilder.build();
  * }</pre>
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class PipelineServiceSettings extends ClientSettings<PipelineServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
index 292105235..88ead5820 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
@@ -84,7 +84,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class PredictionServiceClient implements BackgroundResource {
   private final PredictionServiceSettings settings;
   private final PredictionServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
index 403cd46ce..d094cbc0c 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
@@ -63,7 +63,6 @@
  * PredictionServiceSettings predictionServiceSettings = predictionServiceSettingsBuilder.build();
  * }</pre>
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class PredictionServiceSettings extends ClientSettings<PredictionServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
index f9039f781..8723b96b1 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
@@ -101,7 +101,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class SpecialistPoolServiceClient implements BackgroundResource {
   private final SpecialistPoolServiceSettings settings;
   private final SpecialistPoolServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
index 6ff9a5274..0f1f1fecc 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
@@ -70,7 +70,6 @@
  *     specialistPoolServiceSettingsBuilder.build();
  * }</pre>
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class SpecialistPoolServiceSettings extends ClientSettings<SpecialistPoolServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
index 45de98a21..43e242b74 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
@@ -20,7 +20,6 @@
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -56,8 +55,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public abstract class DatasetServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
index 77a61562b..72d4c8e7e 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
@@ -18,7 +18,6 @@
 
 import static com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -48,8 +47,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public abstract class EndpointServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
index 131004953..867fbc8b4 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -42,8 +41,7 @@
  *
  * <p>This class is for advanced usage.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class GrpcDatasetServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
index 6dcc2963d..df5240454 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
@@ -20,7 +20,6 @@
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -67,7 +66,6 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcDatasetServiceStub extends DatasetServiceStub {
   private static final MethodDescriptor<CreateDatasetRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
index 1433e3b21..67f8d8310 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -42,8 +41,7 @@
  *
  * <p>This class is for advanced usage.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class GrpcEndpointServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
index 3c58ca08b..ba20e502a 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
@@ -18,7 +18,6 @@
 
 import static com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -59,7 +58,6 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcEndpointServiceStub extends EndpointServiceStub {
   private static final MethodDescriptor<CreateEndpointRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
index 6d7e9dbde..d1dcbdaa7 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -42,8 +41,7 @@
  *
  * <p>This class is for advanced usage.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class GrpcJobServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
index 467748f17..472f4ccd2 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
@@ -21,7 +21,6 @@
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -76,7 +75,6 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcJobServiceStub extends JobServiceStub {
   private static final MethodDescriptor<CreateCustomJobRequest, CustomJob>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
index 035e9aa32..3f9dd12b2 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -42,8 +41,7 @@
  *
  * <p>This class is for advanced usage.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class GrpcMigrationServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
index 839250d8f..4fcb60e3f 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
@@ -18,7 +18,6 @@
 
 import static com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -48,7 +47,6 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcMigrationServiceStub extends MigrationServiceStub {
   private static final MethodDescriptor<
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
index 688783f6f..f56cc2f5f 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -42,8 +41,7 @@
  *
  * <p>This class is for advanced usage.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class GrpcModelServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
index e5dcb1a6e..5684f69a2 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
@@ -20,7 +20,6 @@
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -67,7 +66,6 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcModelServiceStub extends ModelServiceStub {
   private static final MethodDescriptor<UploadModelRequest, Operation> uploadModelMethodDescriptor =
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
index a46d4d76b..c9289b973 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -42,8 +41,7 @@
  *
  * <p>This class is for advanced usage.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class GrpcPipelineServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
index 2974d20ad..84aaf3c5c 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
@@ -18,7 +18,6 @@
 
 import static com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -52,7 +51,6 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcPipelineServiceStub extends PipelineServiceStub {
   private static final MethodDescriptor<CreateTrainingPipelineRequest, TrainingPipeline>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
index 11d610333..62f166cdd 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -42,8 +41,7 @@
  *
  * <p>This class is for advanced usage.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class GrpcPredictionServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
index b82d9fd46..9835ec3e8 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -43,7 +42,6 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcPredictionServiceStub extends PredictionServiceStub {
   private static final MethodDescriptor<PredictRequest, PredictResponse> predictMethodDescriptor =
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
index c639234c2..ec9ec56bc 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -42,8 +41,7 @@
  *
  * <p>This class is for advanced usage.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public class GrpcSpecialistPoolServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
index e406240bb..3983992be 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
@@ -18,7 +18,6 @@
 
 import static com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -54,7 +53,6 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcSpecialistPoolServiceStub extends SpecialistPoolServiceStub {
   private static final MethodDescriptor<CreateSpecialistPoolRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
index 35779a161..2d43a0e8b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
@@ -21,7 +21,6 @@
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -65,8 +64,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public abstract class JobServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
index 0838a35d4..18d58132f 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
@@ -18,7 +18,6 @@
 
 import static com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -37,8 +36,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public abstract class MigrationServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
index a0496db40..04ee41e41 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
@@ -20,7 +20,6 @@
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -56,8 +55,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public abstract class ModelServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
index 3cba40f35..f0520c87a 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
@@ -18,7 +18,6 @@
 
 import static com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -41,8 +40,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public abstract class PipelineServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
index 0dc82229b..8839170a4 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
@@ -16,7 +16,6 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.UnaryCallable;
 import com.google.cloud.aiplatform.v1beta1.ExplainRequest;
@@ -31,8 +30,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public abstract class PredictionServiceStub implements BackgroundResource {
 
   public UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
index 3a30e42df..03588d0b4 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
@@ -18,7 +18,6 @@
 
 import static com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
 
-import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -43,8 +42,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@BetaApi
-@Generated("by gapic-generator-java")
+@Generated("by gapic-generator")
 public abstract class SpecialistPoolServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
index 9a2f6acfe..3d923f8af 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
@@ -102,7 +102,6 @@ public void createDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -159,7 +158,6 @@ public void createDatasetTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -216,7 +214,6 @@ public void getDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
@@ -262,7 +259,6 @@ public void getDatasetTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
@@ -308,7 +304,6 @@ public void updateDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
index fe3690851..1e6103e42 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
@@ -101,7 +101,6 @@ public void createEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -159,7 +158,6 @@ public void createEndpointTest2() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -217,7 +215,6 @@ public void getEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
@@ -264,7 +261,6 @@ public void getEndpointTest2() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
@@ -399,7 +395,6 @@ public void updateEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
index 569fb1005..7ffaecaaf 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
@@ -105,7 +105,6 @@ public void createCustomJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -155,7 +154,6 @@ public void createCustomJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -205,7 +203,6 @@ public void getCustomJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -252,7 +249,6 @@ public void getCustomJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -546,7 +542,6 @@ public void createDataLabelingJobTest() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -605,7 +600,6 @@ public void createDataLabelingJobTest2() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -664,7 +658,6 @@ public void getDataLabelingJobTest() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -721,7 +714,6 @@ public void getDataLabelingJobTest2() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -1027,7 +1019,6 @@ public void createHyperparameterTuningJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1088,7 +1079,6 @@ public void createHyperparameterTuningJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1149,7 +1139,6 @@ public void getHyperparameterTuningJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1207,7 +1196,6 @@ public void getHyperparameterTuningJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1522,7 +1510,6 @@ public void createBatchPredictionJobTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1586,7 +1573,6 @@ public void createBatchPredictionJobTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1650,7 +1636,6 @@ public void getBatchPredictionJobTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1713,7 +1698,6 @@ public void getBatchPredictionJobTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
index 3669fffb5..51d21228c 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
@@ -213,7 +213,6 @@ public void getModelTest() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -272,7 +271,6 @@ public void getModelTest2() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -419,7 +417,6 @@ public void updateModelTest() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -648,7 +645,6 @@ public void getModelEvaluationTest() throws Exception {
             .setCreateTime(Timestamp.newBuilder().build())
             .addAllSliceDimensions(new ArrayList<String>())
             .setModelExplanation(ModelExplanation.newBuilder().build())
-            .addAllExplanationSpecs(new ArrayList<ModelEvaluation.ModelEvaluationExplanationSpec>())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -696,7 +692,6 @@ public void getModelEvaluationTest2() throws Exception {
             .setCreateTime(Timestamp.newBuilder().build())
             .addAllSliceDimensions(new ArrayList<String>())
             .setModelExplanation(ModelExplanation.newBuilder().build())
-            .addAllExplanationSpecs(new ArrayList<ModelEvaluation.ModelEvaluationExplanationSpec>())
             .build();
     mockModelService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
index 2e169dfca..82c77c18a 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
@@ -106,7 +106,6 @@ public void createTrainingPipelineTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -163,7 +162,6 @@ public void createTrainingPipelineTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -220,7 +218,6 @@ public void getTrainingPipelineTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -275,7 +272,6 @@ public void getTrainingPipelineTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
-            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
index 843b0bf65..b3d49aff4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
@@ -22,7 +22,7 @@
  *
  *
  * <pre>
- * Parameters that configure active learning pipeline. Active learning will
+ * Paramaters that configure active learning pipeline. Active learning will
  *  label the data incrementally by several iterations. For every iteration, it
  *  will select a batch of data based on the sampling strategy.
  * </pre>
@@ -563,7 +563,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * <pre>
-   * Parameters that configure active learning pipeline. Active learning will
+   * Paramaters that configure active learning pipeline. Active learning will
    *  label the data incrementally by several iterations. For every iteration, it
    *  will select a batch of data based on the sampling strategy.
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
index cd3cf1562..f09ee1f08 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
@@ -404,8 +404,8 @@ public int getOutputIndex(int index) {
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+   * predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -432,8 +432,8 @@ public java.lang.String getOutputDisplayName() {
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+   * predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -465,19 +465,20 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
    * <pre>
    * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
    * explanation method. Lower value means more precise attributions.
-   * * For Sampled Shapley
-   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-   * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-   * the error.
-   * * For Integrated Gradients
-   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
+   * * For [Sampled Shapley
+   * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
+   * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
+   * * For [Integrated Gradients
+   * attribution][ExplanationParameters.integrated_gradients_attribution],
+   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
    * reduce the error.
-   * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
-   * increasing
-   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
-   * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
-   * for more information.
+   * * For [XRAI
+   * attribution][ExplanationParameters.xrai_attribution], increasing
+   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
+   * Refer to  AI Explanations Whitepaper for more details:
+   * https:
+   * //storage.googleapis.com/cloud-ai-whitep
+   * // apers/AI%20Explainability%20Whitepaper.pdf
    * </pre>
    *
    * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1678,8 +1679,8 @@ public Builder clearOutputIndex() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+     * predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1705,8 +1706,8 @@ public java.lang.String getOutputDisplayName() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+     * predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1732,8 +1733,8 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+     * predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1758,8 +1759,8 @@ public Builder setOutputDisplayName(java.lang.String value) {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+     * predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1780,8 +1781,8 @@ public Builder clearOutputDisplayName() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-     * the predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+     * predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1811,19 +1812,20 @@ public Builder setOutputDisplayNameBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For Sampled Shapley
-     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
-     * * For Integrated Gradients
-     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
+     * * For [Sampled Shapley
+     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
+     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
+     * * For [Integrated Gradients
+     * attribution][ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
      * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
-     * increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
-     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
-     * for more information.
+     * * For [XRAI
+     * attribution][ExplanationParameters.xrai_attribution], increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
+     * Refer to  AI Explanations Whitepaper for more details:
+     * https:
+     * //storage.googleapis.com/cloud-ai-whitep
+     * // apers/AI%20Explainability%20Whitepaper.pdf
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1840,19 +1842,20 @@ public double getApproximationError() {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For Sampled Shapley
-     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
-     * * For Integrated Gradients
-     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
+     * * For [Sampled Shapley
+     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
+     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
+     * * For [Integrated Gradients
+     * attribution][ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
      * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
-     * increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
-     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
-     * for more information.
+     * * For [XRAI
+     * attribution][ExplanationParameters.xrai_attribution], increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
+     * Refer to  AI Explanations Whitepaper for more details:
+     * https:
+     * //storage.googleapis.com/cloud-ai-whitep
+     * // apers/AI%20Explainability%20Whitepaper.pdf
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1872,19 +1875,20 @@ public Builder setApproximationError(double value) {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For Sampled Shapley
-     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-     * the error.
-     * * For Integrated Gradients
-     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
+     * * For [Sampled Shapley
+     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
+     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
+     * * For [Integrated Gradients
+     * attribution][ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
      * reduce the error.
-     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
-     * increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
-     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
-     * for more information.
+     * * For [XRAI
+     * attribution][ExplanationParameters.xrai_attribution], increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
+     * Refer to  AI Explanations Whitepaper for more details:
+     * https:
+     * //storage.googleapis.com/cloud-ai-whitep
+     * // apers/AI%20Explainability%20Whitepaper.pdf
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
index 3dc3f1e63..48bc07ced 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
@@ -214,8 +214,8 @@ public interface AttributionOrBuilder
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+   * predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -231,8 +231,8 @@ public interface AttributionOrBuilder
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-   * the predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+   * predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -251,19 +251,20 @@ public interface AttributionOrBuilder
    * <pre>
    * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
    * explanation method. Lower value means more precise attributions.
-   * * For Sampled Shapley
-   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-   * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-   * the error.
-   * * For Integrated Gradients
-   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
+   * * For [Sampled Shapley
+   * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
+   * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
+   * * For [Integrated Gradients
+   * attribution][ExplanationParameters.integrated_gradients_attribution],
+   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
    * reduce the error.
-   * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
-   * increasing
-   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
-   * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
-   * for more information.
+   * * For [XRAI
+   * attribution][ExplanationParameters.xrai_attribution], increasing
+   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
+   * Refer to  AI Explanations Whitepaper for more details:
+   * https:
+   * //storage.googleapis.com/cloud-ai-whitep
+   * // apers/AI%20Explainability%20Whitepaper.pdf
    * </pre>
    *
    * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
index dbfb12ec4..e8c8039c3 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
@@ -39,9 +39,7 @@ private BatchMigrateResourcesOperationMetadata(
     super(builder);
   }
 
-  private BatchMigrateResourcesOperationMetadata() {
-    partialResults_ = java.util.Collections.emptyList();
-  }
+  private BatchMigrateResourcesOperationMetadata() {}
 
   @java.lang.Override
   @SuppressWarnings({"unused"})
@@ -62,7 +60,6 @@ private BatchMigrateResourcesOperationMetadata(
     if (extensionRegistry == null) {
       throw new java.lang.NullPointerException();
     }
-    int mutable_bitField0_ = 0;
     com.google.protobuf.UnknownFieldSet.Builder unknownFields =
         com.google.protobuf.UnknownFieldSet.newBuilder();
     try {
@@ -91,22 +88,6 @@ private BatchMigrateResourcesOperationMetadata(
 
               break;
             }
-          case 18:
-            {
-              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
-                partialResults_ =
-                    new java.util.ArrayList<
-                        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                            .PartialResult>();
-                mutable_bitField0_ |= 0x00000001;
-              }
-              partialResults_.add(
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                          .PartialResult.parser(),
-                      extensionRegistry));
-              break;
-            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -121,9 +102,6 @@ private BatchMigrateResourcesOperationMetadata(
     } catch (java.io.IOException e) {
       throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
     } finally {
-      if (((mutable_bitField0_ & 0x00000001) != 0)) {
-        partialResults_ = java.util.Collections.unmodifiableList(partialResults_);
-      }
       this.unknownFields = unknownFields.build();
       makeExtensionsImmutable();
     }
@@ -131,1875 +109,67 @@ private BatchMigrateResourcesOperationMetadata(
 
   public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
     return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
-        .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor;
-  }
-
-  @java.lang.Override
-  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internalGetFieldAccessorTable() {
-    return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
-        .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable
-        .ensureFieldAccessorsInitialized(
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.class,
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.Builder
-                .class);
-  }
-
-  public interface PartialResultOrBuilder
-      extends
-      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
-      com.google.protobuf.MessageOrBuilder {
-
-    /**
-     *
-     *
-     * <pre>
-     * The error result of the migration request in case of failure.
-     * </pre>
-     *
-     * <code>.google.rpc.Status error = 2;</code>
-     *
-     * @return Whether the error field is set.
-     */
-    boolean hasError();
-    /**
-     *
-     *
-     * <pre>
-     * The error result of the migration request in case of failure.
-     * </pre>
-     *
-     * <code>.google.rpc.Status error = 2;</code>
-     *
-     * @return The error.
-     */
-    com.google.rpc.Status getError();
-    /**
-     *
-     *
-     * <pre>
-     * The error result of the migration request in case of failure.
-     * </pre>
-     *
-     * <code>.google.rpc.Status error = 2;</code>
-     */
-    com.google.rpc.StatusOrBuilder getErrorOrBuilder();
-
-    /**
-     *
-     *
-     * <pre>
-     * Migrated model resource name.
-     * </pre>
-     *
-     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
-     *
-     * @return The model.
-     */
-    java.lang.String getModel();
-    /**
-     *
-     *
-     * <pre>
-     * Migrated model resource name.
-     * </pre>
-     *
-     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
-     *
-     * @return The bytes for model.
-     */
-    com.google.protobuf.ByteString getModelBytes();
-
-    /**
-     *
-     *
-     * <pre>
-     * Migrated dataset resource name.
-     * </pre>
-     *
-     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
-     *
-     * @return The dataset.
-     */
-    java.lang.String getDataset();
-    /**
-     *
-     *
-     * <pre>
-     * Migrated dataset resource name.
-     * </pre>
-     *
-     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
-     *
-     * @return The bytes for dataset.
-     */
-    com.google.protobuf.ByteString getDatasetBytes();
-
-    /**
-     *
-     *
-     * <pre>
-     * It's the same as the value in
-     * [MigrateResourceRequest.migrate_resource_requests][].
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
-     *
-     * @return Whether the request field is set.
-     */
-    boolean hasRequest();
-    /**
-     *
-     *
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-
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-              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest,
-              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder,
-              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder>
-          getRequestFieldBuilder() {
-        if (requestBuilder_ == null) {
-          requestBuilder_ =
-              new com.google.protobuf.SingleFieldBuilderV3<
-                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest,
-                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder,
-                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder>(
-                  getRequest(), getParentForChildren(), isClean());
-          request_ = null;
-        }
-        return requestBuilder_;
-      }
-
-      @java.lang.Override
-      public final Builder setUnknownFields(
-          final com.google.protobuf.UnknownFieldSet unknownFields) {
-        return super.setUnknownFields(unknownFields);
-      }
-
-      @java.lang.Override
-      public final Builder mergeUnknownFields(
-          final com.google.protobuf.UnknownFieldSet unknownFields) {
-        return super.mergeUnknownFields(unknownFields);
-      }
-
-      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
-    }
-
-    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
-    private static final com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-            .PartialResult
-        DEFAULT_INSTANCE;
-
-    static {
-      DEFAULT_INSTANCE =
-          new com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-              .PartialResult();
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-            .PartialResult
-        getDefaultInstance() {
-      return DEFAULT_INSTANCE;
-    }
-
-    private static final com.google.protobuf.Parser<PartialResult> PARSER =
-        new com.google.protobuf.AbstractParser<PartialResult>() {
-          @java.lang.Override
-          public PartialResult parsePartialFrom(
-              com.google.protobuf.CodedInputStream input,
-              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-              throws com.google.protobuf.InvalidProtocolBufferException {
-            return new PartialResult(input, extensionRegistry);
-          }
-        };
-
-    public static com.google.protobuf.Parser<PartialResult> parser() {
-      return PARSER;
-    }
-
-    @java.lang.Override
-    public com.google.protobuf.Parser<PartialResult> getParserForType() {
-      return PARSER;
-    }
-
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-        getDefaultInstanceForType() {
-      return DEFAULT_INSTANCE;
-    }
-  }
-
-  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
-  private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
-  /**
-   *
-   *
-   * <pre>
-   * The common part of the operation metadata.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
-   *
-   * @return Whether the genericMetadata field is set.
-   */
-  @java.lang.Override
-  public boolean hasGenericMetadata() {
-    return genericMetadata_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * The common part of the operation metadata.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
-   *
-   * @return The genericMetadata.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata getGenericMetadata() {
-    return genericMetadata_ == null
-        ? com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.getDefaultInstance()
-        : genericMetadata_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * The common part of the operation metadata.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
-      getGenericMetadataOrBuilder() {
-    return getGenericMetadata();
-  }
-
-  public static final int PARTIAL_RESULTS_FIELD_NUMBER = 2;
-  private java.util.List<
-          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
-      partialResults_;
-  /**
-   *
-   *
-   * <pre>
-   * Partial results that reflects the latest migration operation progress.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
-   */
-  @java.lang.Override
-  public java.util.List<
-          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
-      getPartialResultsList() {
-    return partialResults_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Partial results that reflects the latest migration operation progress.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
-   */
+        .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor;
+  }
+
   @java.lang.Override
-  public java.util.List<
-          ? extends
-              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                  .PartialResultOrBuilder>
-      getPartialResultsOrBuilderList() {
-    return partialResults_;
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
+        .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.class,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.Builder
+                .class);
   }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
   /**
    *
    *
    * <pre>
-   * Partial results that reflects the latest migration operation progress.
+   * The common part of the operation metadata.
    * </pre>
    *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
    */
   @java.lang.Override
-  public int getPartialResultsCount() {
-    return partialResults_.size();
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
   }
   /**
    *
    *
    * <pre>
-   * Partial results that reflects the latest migration operation progress.
+   * The common part of the operation metadata.
    * </pre>
    *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
    */
   @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-      getPartialResults(int index) {
-    return partialResults_.get(index);
+  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
   }
   /**
    *
    *
    * <pre>
-   * Partial results that reflects the latest migration operation progress.
+   * The common part of the operation metadata.
    * </pre>
    *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
    */
   @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-          .PartialResultOrBuilder
-      getPartialResultsOrBuilder(int index) {
-    return partialResults_.get(index);
+  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
   }
 
   private byte memoizedIsInitialized = -1;
@@ -2019,9 +189,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (genericMetadata_ != null) {
       output.writeMessage(1, getGenericMetadata());
     }
-    for (int i = 0; i < partialResults_.size(); i++) {
-      output.writeMessage(2, partialResults_.get(i));
-    }
     unknownFields.writeTo(output);
   }
 
@@ -2034,9 +201,6 @@ public int getSerializedSize() {
     if (genericMetadata_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
     }
-    for (int i = 0; i < partialResults_.size(); i++) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, partialResults_.get(i));
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -2058,7 +222,6 @@ public boolean equals(final java.lang.Object obj) {
     if (hasGenericMetadata()) {
       if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
     }
-    if (!getPartialResultsList().equals(other.getPartialResultsList())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -2074,10 +237,6 @@ public int hashCode() {
       hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
       hash = (53 * hash) + getGenericMetadata().hashCode();
     }
-    if (getPartialResultsCount() > 0) {
-      hash = (37 * hash) + PARTIAL_RESULTS_FIELD_NUMBER;
-      hash = (53 * hash) + getPartialResultsList().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -2226,9 +385,7 @@ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
     }
 
     private void maybeForceBuilderInitialization() {
-      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
-        getPartialResultsFieldBuilder();
-      }
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
     }
 
     @java.lang.Override
@@ -2240,12 +397,6 @@ public Builder clear() {
         genericMetadata_ = null;
         genericMetadataBuilder_ = null;
       }
-      if (partialResultsBuilder_ == null) {
-        partialResults_ = java.util.Collections.emptyList();
-        bitField0_ = (bitField0_ & ~0x00000001);
-      } else {
-        partialResultsBuilder_.clear();
-      }
       return this;
     }
 
@@ -2277,21 +428,11 @@ public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadat
         buildPartial() {
       com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata result =
           new com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata(this);
-      int from_bitField0_ = bitField0_;
       if (genericMetadataBuilder_ == null) {
         result.genericMetadata_ = genericMetadata_;
       } else {
         result.genericMetadata_ = genericMetadataBuilder_.build();
       }
-      if (partialResultsBuilder_ == null) {
-        if (((bitField0_ & 0x00000001) != 0)) {
-          partialResults_ = java.util.Collections.unmodifiableList(partialResults_);
-          bitField0_ = (bitField0_ & ~0x00000001);
-        }
-        result.partialResults_ = partialResults_;
-      } else {
-        result.partialResults_ = partialResultsBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -2349,33 +490,6 @@ public Builder mergeFrom(
       if (other.hasGenericMetadata()) {
         mergeGenericMetadata(other.getGenericMetadata());
       }
-      if (partialResultsBuilder_ == null) {
-        if (!other.partialResults_.isEmpty()) {
-          if (partialResults_.isEmpty()) {
-            partialResults_ = other.partialResults_;
-            bitField0_ = (bitField0_ & ~0x00000001);
-          } else {
-            ensurePartialResultsIsMutable();
-            partialResults_.addAll(other.partialResults_);
-          }
-          onChanged();
-        }
-      } else {
-        if (!other.partialResults_.isEmpty()) {
-          if (partialResultsBuilder_.isEmpty()) {
-            partialResultsBuilder_.dispose();
-            partialResultsBuilder_ = null;
-            partialResults_ = other.partialResults_;
-            bitField0_ = (bitField0_ & ~0x00000001);
-            partialResultsBuilder_ =
-                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
-                    ? getPartialResultsFieldBuilder()
-                    : null;
-          } else {
-            partialResultsBuilder_.addAllMessages(other.partialResults_);
-          }
-        }
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2408,8 +522,6 @@ public Builder mergeFrom(
       return this;
     }
 
-    private int bitField0_;
-
     private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata,
@@ -2601,451 +713,6 @@ public Builder clearGenericMetadata() {
       return genericMetadataBuilder_;
     }
 
-    private java.util.List<
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                .PartialResult>
-        partialResults_ = java.util.Collections.emptyList();
-
-    private void ensurePartialResultsIsMutable() {
-      if (!((bitField0_ & 0x00000001) != 0)) {
-        partialResults_ =
-            new java.util.ArrayList<
-                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                    .PartialResult>(partialResults_);
-        bitField0_ |= 0x00000001;
-      }
-    }
-
-    private com.google.protobuf.RepeatedFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                .PartialResult,
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-                .Builder,
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                .PartialResultOrBuilder>
-        partialResultsBuilder_;
-
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public java.util.List<
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                .PartialResult>
-        getPartialResultsList() {
-      if (partialResultsBuilder_ == null) {
-        return java.util.Collections.unmodifiableList(partialResults_);
-      } else {
-        return partialResultsBuilder_.getMessageList();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public int getPartialResultsCount() {
-      if (partialResultsBuilder_ == null) {
-        return partialResults_.size();
-      } else {
-        return partialResultsBuilder_.getCount();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-        getPartialResults(int index) {
-      if (partialResultsBuilder_ == null) {
-        return partialResults_.get(index);
-      } else {
-        return partialResultsBuilder_.getMessage(index);
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder setPartialResults(
-        int index,
-        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-            value) {
-      if (partialResultsBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        ensurePartialResultsIsMutable();
-        partialResults_.set(index, value);
-        onChanged();
-      } else {
-        partialResultsBuilder_.setMessage(index, value);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder setPartialResults(
-        int index,
-        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-                .Builder
-            builderForValue) {
-      if (partialResultsBuilder_ == null) {
-        ensurePartialResultsIsMutable();
-        partialResults_.set(index, builderForValue.build());
-        onChanged();
-      } else {
-        partialResultsBuilder_.setMessage(index, builderForValue.build());
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder addPartialResults(
-        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-            value) {
-      if (partialResultsBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        ensurePartialResultsIsMutable();
-        partialResults_.add(value);
-        onChanged();
-      } else {
-        partialResultsBuilder_.addMessage(value);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder addPartialResults(
-        int index,
-        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-            value) {
-      if (partialResultsBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        ensurePartialResultsIsMutable();
-        partialResults_.add(index, value);
-        onChanged();
-      } else {
-        partialResultsBuilder_.addMessage(index, value);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder addPartialResults(
-        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-                .Builder
-            builderForValue) {
-      if (partialResultsBuilder_ == null) {
-        ensurePartialResultsIsMutable();
-        partialResults_.add(builderForValue.build());
-        onChanged();
-      } else {
-        partialResultsBuilder_.addMessage(builderForValue.build());
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder addPartialResults(
-        int index,
-        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-                .Builder
-            builderForValue) {
-      if (partialResultsBuilder_ == null) {
-        ensurePartialResultsIsMutable();
-        partialResults_.add(index, builderForValue.build());
-        onChanged();
-      } else {
-        partialResultsBuilder_.addMessage(index, builderForValue.build());
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder addAllPartialResults(
-        java.lang.Iterable<
-                ? extends
-                    com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                        .PartialResult>
-            values) {
-      if (partialResultsBuilder_ == null) {
-        ensurePartialResultsIsMutable();
-        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, partialResults_);
-        onChanged();
-      } else {
-        partialResultsBuilder_.addAllMessages(values);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder clearPartialResults() {
-      if (partialResultsBuilder_ == null) {
-        partialResults_ = java.util.Collections.emptyList();
-        bitField0_ = (bitField0_ & ~0x00000001);
-        onChanged();
-      } else {
-        partialResultsBuilder_.clear();
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public Builder removePartialResults(int index) {
-      if (partialResultsBuilder_ == null) {
-        ensurePartialResultsIsMutable();
-        partialResults_.remove(index);
-        onChanged();
-      } else {
-        partialResultsBuilder_.remove(index);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-            .Builder
-        getPartialResultsBuilder(int index) {
-      return getPartialResultsFieldBuilder().getBuilder(index);
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-            .PartialResultOrBuilder
-        getPartialResultsOrBuilder(int index) {
-      if (partialResultsBuilder_ == null) {
-        return partialResults_.get(index);
-      } else {
-        return partialResultsBuilder_.getMessageOrBuilder(index);
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public java.util.List<
-            ? extends
-                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                    .PartialResultOrBuilder>
-        getPartialResultsOrBuilderList() {
-      if (partialResultsBuilder_ != null) {
-        return partialResultsBuilder_.getMessageOrBuilderList();
-      } else {
-        return java.util.Collections.unmodifiableList(partialResults_);
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-            .Builder
-        addPartialResultsBuilder() {
-      return getPartialResultsFieldBuilder()
-          .addBuilder(
-              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                  .PartialResult.getDefaultInstance());
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-            .Builder
-        addPartialResultsBuilder(int index) {
-      return getPartialResultsFieldBuilder()
-          .addBuilder(
-              index,
-              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                  .PartialResult.getDefaultInstance());
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Partial results that reflects the latest migration operation progress.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-     * </code>
-     */
-    public java.util.List<
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-                .Builder>
-        getPartialResultsBuilderList() {
-      return getPartialResultsFieldBuilder().getBuilderList();
-    }
-
-    private com.google.protobuf.RepeatedFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                .PartialResult,
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-                .Builder,
-            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                .PartialResultOrBuilder>
-        getPartialResultsFieldBuilder() {
-      if (partialResultsBuilder_ == null) {
-        partialResultsBuilder_ =
-            new com.google.protobuf.RepeatedFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                    .PartialResult,
-                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                    .PartialResult.Builder,
-                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                    .PartialResultOrBuilder>(
-                partialResults_,
-                ((bitField0_ & 0x00000001) != 0),
-                getParentForChildren(),
-                isClean());
-        partialResults_ = null;
-      }
-      return partialResultsBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
index b613cd4c8..27c36f4e1 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
@@ -58,73 +58,4 @@ public interface BatchMigrateResourcesOperationMetadataOrBuilder
    */
   com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
       getGenericMetadataOrBuilder();
-
-  /**
-   *
-   *
-   * <pre>
-   * Partial results that reflects the latest migration operation progress.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
-   */
-  java.util.List<
-          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
-      getPartialResultsList();
-  /**
-   *
-   *
-   * <pre>
-   * Partial results that reflects the latest migration operation progress.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
-      getPartialResults(int index);
-  /**
-   *
-   *
-   * <pre>
-   * Partial results that reflects the latest migration operation progress.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
-   */
-  int getPartialResultsCount();
-  /**
-   *
-   *
-   * <pre>
-   * Partial results that reflects the latest migration operation progress.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
-   */
-  java.util.List<
-          ? extends
-              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
-                  .PartialResultOrBuilder>
-      getPartialResultsOrBuilderList();
-  /**
-   *
-   *
-   * <pre>
-   * Partial results that reflects the latest migration operation progress.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResultOrBuilder
-      getPartialResultsOrBuilder(int index);
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
index ce4996373..82a4704aa 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
@@ -344,23 +344,6 @@ private BatchPredictionJob(
           case 184:
             {
               generateExplanation_ = input.readBool();
-              break;
-            }
-          case 194:
-            {
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
-              if (encryptionSpec_ != null) {
-                subBuilder = encryptionSpec_.toBuilder();
-              }
-              encryptionSpec_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(encryptionSpec_);
-                encryptionSpec_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           case 202:
@@ -437,7 +420,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location for the input instances.
+     * The Google Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -449,7 +432,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location for the input instances.
+     * The Google Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -461,7 +444,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location for the input instances.
+     * The Google Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -730,7 +713,7 @@ public SourceCase getSourceCase() {
      *
      *
      * <pre>
-     * The Cloud Storage location for the input instances.
+     * The Google Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -745,7 +728,7 @@ public boolean hasGcsSource() {
      *
      *
      * <pre>
-     * The Cloud Storage location for the input instances.
+     * The Google Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -763,7 +746,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource getGcsSource() {
      *
      *
      * <pre>
-     * The Cloud Storage location for the input instances.
+     * The Google Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1321,7 +1304,7 @@ public Builder clearSource() {
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1336,7 +1319,7 @@ public boolean hasGcsSource() {
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1361,7 +1344,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource getGcsSource() {
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1383,7 +1366,7 @@ public Builder setGcsSource(com.google.cloud.aiplatform.v1beta1.GcsSource value)
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1403,7 +1386,7 @@ public Builder setGcsSource(
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1434,7 +1417,7 @@ public Builder mergeGcsSource(com.google.cloud.aiplatform.v1beta1.GcsSource valu
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1459,7 +1442,7 @@ public Builder clearGcsSource() {
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1471,7 +1454,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource.Builder getGcsSourceBuilder
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1491,7 +1474,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuil
        *
        *
        * <pre>
-       * The Cloud Storage location for the input instances.
+       * The Google Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1948,7 +1931,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location of the directory where the output is
+     * The Google Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -1980,7 +1963,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location of the directory where the output is
+     * The Google Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2012,7 +1995,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location of the directory where the output is
+     * The Google Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2345,7 +2328,7 @@ public DestinationCase getDestinationCase() {
      *
      *
      * <pre>
-     * The Cloud Storage location of the directory where the output is
+     * The Google Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2380,7 +2363,7 @@ public boolean hasGcsDestination() {
      *
      *
      * <pre>
-     * The Cloud Storage location of the directory where the output is
+     * The Google Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2418,7 +2401,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
      *
      *
      * <pre>
-     * The Cloud Storage location of the directory where the output is
+     * The Google Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3037,7 +3020,7 @@ public Builder clearDestination() {
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3072,7 +3055,7 @@ public boolean hasGcsDestination() {
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3117,7 +3100,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3159,7 +3142,7 @@ public Builder setGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestinat
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3199,7 +3182,7 @@ public Builder setGcsDestination(
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3251,7 +3234,7 @@ public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestin
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3296,7 +3279,7 @@ public Builder clearGcsDestination() {
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3328,7 +3311,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3369,7 +3352,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        *
        *
        * <pre>
-       * The Cloud Storage location of the directory where the output is
+       * The Google Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3967,7 +3950,7 @@ public interface OutputInfoOrBuilder
      *
      *
      * <pre>
-     * Output only. The full path of the Cloud Storage directory created, into which
+     * Output only. The full path of the Google Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -3980,7 +3963,7 @@ public interface OutputInfoOrBuilder
      *
      *
      * <pre>
-     * Output only. The full path of the Cloud Storage directory created, into which
+     * Output only. The full path of the Google Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4173,7 +4156,7 @@ public OutputLocationCase getOutputLocationCase() {
      *
      *
      * <pre>
-     * Output only. The full path of the Cloud Storage directory created, into which
+     * Output only. The full path of the Google Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4201,7 +4184,7 @@ public java.lang.String getGcsOutputDirectory() {
      *
      *
      * <pre>
-     * Output only. The full path of the Cloud Storage directory created, into which
+     * Output only. The full path of the Google Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4684,7 +4667,7 @@ public Builder clearOutputLocation() {
        *
        *
        * <pre>
-       * Output only. The full path of the Cloud Storage directory created, into which
+       * Output only. The full path of the Google Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4713,7 +4696,7 @@ public java.lang.String getGcsOutputDirectory() {
        *
        *
        * <pre>
-       * Output only. The full path of the Cloud Storage directory created, into which
+       * Output only. The full path of the Google Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4742,7 +4725,7 @@ public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
        *
        *
        * <pre>
-       * Output only. The full path of the Cloud Storage directory created, into which
+       * Output only. The full path of the Google Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4764,7 +4747,7 @@ public Builder setGcsOutputDirectory(java.lang.String value) {
        *
        *
        * <pre>
-       * Output only. The full path of the Cloud Storage directory created, into which
+       * Output only. The full path of the Google Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4784,7 +4767,7 @@ public Builder clearGcsOutputDirectory() {
        *
        *
        * <pre>
-       * Output only. The full path of the Cloud Storage directory created, into which
+       * Output only. The full path of the Google Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -5480,18 +5463,15 @@ public boolean hasManualBatchTuningParameters() {
    *
    *
    * <pre>
-   * Generate explanation with the batch prediction results.
-   * When set to `true`, the batch prediction output changes based on the
-   * `predictions_format` field of the
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
-   *  * `bigquery`: output includes a column named `explanation`. The value
+   * Generate explanation along with the batch prediction results.
+   * When it's true, the batch prediction output will change based on the
+   * [output format][BatchPredictionJob.output_config.predictions_format]:
+   *  * `bigquery`: output will include a column named `explanation`. The value
    *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-   *  * `jsonl`: The JSON objects on each line include an additional entry
+   *  * `jsonl`: The JSON objects on each line will include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
    *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `csv`: Generating explanations for CSV format is not supported.
-   * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
-   * populated.
    * </pre>
    *
    * <code>bool generate_explanation = 23;</code>
@@ -5509,12 +5489,15 @@ public boolean getGenerateExplanation() {
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+   * Explanation configuration for this BatchPredictionJob. Can only be
+   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+   * specified it with generate_explanation set to false or unset.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+   * this Model is not allowed.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -5529,12 +5512,15 @@ public boolean hasExplanationSpec() {
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+   * Explanation configuration for this BatchPredictionJob. Can only be
+   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+   * specified it with generate_explanation set to false or unset.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+   * this Model is not allowed.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -5551,12 +5537,15 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+   * Explanation configuration for this BatchPredictionJob. Can only be
+   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+   * specified it with generate_explanation set to false or unset.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+   * this Model is not allowed.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -6243,60 +6232,6 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
-  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 24;
-  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a BatchPredictionJob. If this
-   * is set, then all resources created by the BatchPredictionJob will be
-   * encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  @java.lang.Override
-  public boolean hasEncryptionSpec() {
-    return encryptionSpec_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a BatchPredictionJob. If this
-   * is set, then all resources created by the BatchPredictionJob will be
-   * encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-    return encryptionSpec_ == null
-        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-        : encryptionSpec_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a BatchPredictionJob. If this
-   * is set, then all resources created by the BatchPredictionJob will be
-   * encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
-    return getEncryptionSpec();
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -6370,9 +6305,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (generateExplanation_ != false) {
       output.writeBool(23, generateExplanation_);
     }
-    if (encryptionSpec_ != null) {
-      output.writeMessage(24, getEncryptionSpec());
-    }
     if (explanationSpec_ != null) {
       output.writeMessage(25, getExplanationSpec());
     }
@@ -6454,9 +6386,6 @@ public int getSerializedSize() {
     if (generateExplanation_ != false) {
       size += com.google.protobuf.CodedOutputStream.computeBoolSize(23, generateExplanation_);
     }
-    if (encryptionSpec_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(24, getEncryptionSpec());
-    }
     if (explanationSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(25, getExplanationSpec());
     }
@@ -6540,10 +6469,6 @@ public boolean equals(final java.lang.Object obj) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
-    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
-    if (hasEncryptionSpec()) {
-      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
-    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -6629,10 +6554,6 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
-    if (hasEncryptionSpec()) {
-      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
-      hash = (53 * hash) + getEncryptionSpec().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -6905,12 +6826,6 @@ public Builder clear() {
         updateTimeBuilder_ = null;
       }
       internalGetMutableLabels().clear();
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
       return this;
     }
 
@@ -7025,11 +6940,6 @@ public com.google.cloud.aiplatform.v1beta1.BatchPredictionJob buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
-      if (encryptionSpecBuilder_ == null) {
-        result.encryptionSpec_ = encryptionSpec_;
-      } else {
-        result.encryptionSpec_ = encryptionSpecBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -7168,9 +7078,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.BatchPredictionJob
         mergeUpdateTime(other.getUpdateTime());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
-      if (other.hasEncryptionSpec()) {
-        mergeEncryptionSpec(other.getEncryptionSpec());
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -8751,18 +8658,15 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * <pre>
-     * Generate explanation with the batch prediction results.
-     * When set to `true`, the batch prediction output changes based on the
-     * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
-     *  * `bigquery`: output includes a column named `explanation`. The value
+     * Generate explanation along with the batch prediction results.
+     * When it's true, the batch prediction output will change based on the
+     * [output format][BatchPredictionJob.output_config.predictions_format]:
+     *  * `bigquery`: output will include a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line include an additional entry
+     *  * `jsonl`: The JSON objects on each line will include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
-     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8777,18 +8681,15 @@ public boolean getGenerateExplanation() {
      *
      *
      * <pre>
-     * Generate explanation with the batch prediction results.
-     * When set to `true`, the batch prediction output changes based on the
-     * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
-     *  * `bigquery`: output includes a column named `explanation`. The value
+     * Generate explanation along with the batch prediction results.
+     * When it's true, the batch prediction output will change based on the
+     * [output format][BatchPredictionJob.output_config.predictions_format]:
+     *  * `bigquery`: output will include a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line include an additional entry
+     *  * `jsonl`: The JSON objects on each line will include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
-     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8806,18 +8707,15 @@ public Builder setGenerateExplanation(boolean value) {
      *
      *
      * <pre>
-     * Generate explanation with the batch prediction results.
-     * When set to `true`, the batch prediction output changes based on the
-     * `predictions_format` field of the
-     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
-     *  * `bigquery`: output includes a column named `explanation`. The value
+     * Generate explanation along with the batch prediction results.
+     * When it's true, the batch prediction output will change based on the
+     * [output format][BatchPredictionJob.output_config.predictions_format]:
+     *  * `bigquery`: output will include a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line include an additional entry
+     *  * `jsonl`: The JSON objects on each line will include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
-     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
-     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8841,12 +8739,15 @@ public Builder clearGenerateExplanation() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8860,12 +8761,15 @@ public boolean hasExplanationSpec() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8885,12 +8789,15 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8912,12 +8819,15 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8937,12 +8847,15 @@ public Builder setExplanationSpec(
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8968,12 +8881,15 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8993,12 +8909,15 @@ public Builder clearExplanationSpec() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -9012,12 +8931,15 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -9036,12 +8958,15 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can be
-     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+     * Explanation configuration for this BatchPredictionJob. Can only be
+     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+     * specified it with generate_explanation set to false or unset.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+     * this Model is not allowed.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -11429,211 +11354,6 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        encryptionSpecBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     *
-     * @return Whether the encryptionSpec field is set.
-     */
-    public boolean hasEncryptionSpec() {
-      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     *
-     * @return The encryptionSpec.
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      } else {
-        return encryptionSpecBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        encryptionSpec_ = value;
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public Builder setEncryptionSpec(
-        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = builderForValue.build();
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (encryptionSpec_ != null) {
-          encryptionSpec_ =
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          encryptionSpec_ = value;
-        }
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public Builder clearEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-        onChanged();
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
-
-      onChanged();
-      return getEncryptionSpecFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
-        getEncryptionSpecOrBuilder() {
-      if (encryptionSpecBuilder_ != null) {
-        return encryptionSpecBuilder_.getMessageOrBuilder();
-      } else {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a BatchPredictionJob. If this
-     * is set, then all resources created by the BatchPredictionJob will be
-     * encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        getEncryptionSpecFieldBuilder() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpecBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
-                getEncryptionSpec(), getParentForChildren(), isClean());
-        encryptionSpec_ = null;
-      }
-      return encryptionSpecBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
index bb249963f..98a1d0819 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
@@ -369,18 +369,15 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Generate explanation with the batch prediction results.
-   * When set to `true`, the batch prediction output changes based on the
-   * `predictions_format` field of the
-   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
-   *  * `bigquery`: output includes a column named `explanation`. The value
+   * Generate explanation along with the batch prediction results.
+   * When it's true, the batch prediction output will change based on the
+   * [output format][BatchPredictionJob.output_config.predictions_format]:
+   *  * `bigquery`: output will include a column named `explanation`. The value
    *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-   *  * `jsonl`: The JSON objects on each line include an additional entry
+   *  * `jsonl`: The JSON objects on each line will include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
    *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `csv`: Generating explanations for CSV format is not supported.
-   * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
-   * populated.
    * </pre>
    *
    * <code>bool generate_explanation = 23;</code>
@@ -393,12 +390,15 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+   * Explanation configuration for this BatchPredictionJob. Can only be
+   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+   * specified it with generate_explanation set to false or unset.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+   * this Model is not allowed.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -410,12 +410,15 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+   * Explanation configuration for this BatchPredictionJob. Can only be
+   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+   * specified it with generate_explanation set to false or unset.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+   * this Model is not allowed.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -427,12 +430,15 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can be
-   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+   * Explanation configuration for this BatchPredictionJob. Can only be
+   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+   * specified it with generate_explanation set to false or unset.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+   * this Model is not allowed.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -949,45 +955,4 @@ public interface BatchPredictionJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 19;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
-
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a BatchPredictionJob. If this
-   * is set, then all resources created by the BatchPredictionJob will be
-   * encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  boolean hasEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a BatchPredictionJob. If this
-   * is set, then all resources created by the BatchPredictionJob will be
-   * encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a BatchPredictionJob. If this
-   * is set, then all resources created by the BatchPredictionJob will be
-   * encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
index afffd8030..fb08c35ec 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
@@ -61,75 +61,72 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "tform.v1beta1\032\037google/api/field_behavior"
           + ".proto\032\031google/api/resource.proto\0326googl"
           + "e/cloud/aiplatform/v1beta1/completion_st"
-          + "ats.proto\0325google/cloud/aiplatform/v1bet"
-          + "a1/encryption_spec.proto\0321google/cloud/a"
-          + "iplatform/v1beta1/explanation.proto\032(goo"
-          + "gle/cloud/aiplatform/v1beta1/io.proto\032/g"
-          + "oogle/cloud/aiplatform/v1beta1/job_state"
-          + ".proto\0327google/cloud/aiplatform/v1beta1/"
-          + "machine_resources.proto\032Dgoogle/cloud/ai"
-          + "platform/v1beta1/manual_batch_tuning_par"
-          + "ameters.proto\032\034google/protobuf/struct.pr"
-          + "oto\032\037google/protobuf/timestamp.proto\032\027go"
-          + "ogle/rpc/status.proto\032\034google/api/annota"
-          + "tions.proto\"\353\020\n\022BatchPredictionJob\022\021\n\004na"
-          + "me\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002"
-          + "\0226\n\005model\030\003 \001(\tB\'\340A\002\372A!\n\037aiplatform.goog"
-          + "leapis.com/Model\022Z\n\014input_config\030\004 \001(\0132?"
+          + "ats.proto\0321google/cloud/aiplatform/v1bet"
+          + "a1/explanation.proto\032(google/cloud/aipla"
+          + "tform/v1beta1/io.proto\032/google/cloud/aip"
+          + "latform/v1beta1/job_state.proto\0327google/"
+          + "cloud/aiplatform/v1beta1/machine_resourc"
+          + "es.proto\032Dgoogle/cloud/aiplatform/v1beta"
+          + "1/manual_batch_tuning_parameters.proto\032\034"
+          + "google/protobuf/struct.proto\032\037google/pro"
+          + "tobuf/timestamp.proto\032\027google/rpc/status"
+          + ".proto\032\034google/api/annotations.proto\"\241\020\n"
+          + "\022BatchPredictionJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031"
+          + "\n\014display_name\030\002 \001(\tB\003\340A\002\0226\n\005model\030\003 \001(\t"
+          + "B\'\340A\002\372A!\n\037aiplatform.googleapis.com/Mode"
+          + "l\022Z\n\014input_config\030\004 \001(\0132?.google.cloud.a"
+          + "iplatform.v1beta1.BatchPredictionJob.Inp"
+          + "utConfigB\003\340A\002\0220\n\020model_parameters\030\005 \001(\0132"
+          + "\026.google.protobuf.Value\022\\\n\routput_config"
+          + "\030\006 \001(\0132@.google.cloud.aiplatform.v1beta1"
+          + ".BatchPredictionJob.OutputConfigB\003\340A\002\022U\n"
+          + "\023dedicated_resources\030\007 \001(\01328.google.clou"
+          + "d.aiplatform.v1beta1.BatchDedicatedResou"
+          + "rces\022i\n\036manual_batch_tuning_parameters\030\010"
+          + " \001(\0132<.google.cloud.aiplatform.v1beta1.M"
+          + "anualBatchTuningParametersB\003\340A\005\022\034\n\024gener"
+          + "ate_explanation\030\027 \001(\010\022J\n\020explanation_spe"
+          + "c\030\031 \001(\01320.google.cloud.aiplatform.v1beta"
+          + "1.ExplanationSpec\022X\n\013output_info\030\t \001(\0132>"
           + ".google.cloud.aiplatform.v1beta1.BatchPr"
-          + "edictionJob.InputConfigB\003\340A\002\0220\n\020model_pa"
-          + "rameters\030\005 \001(\0132\026.google.protobuf.Value\022\\"
-          + "\n\routput_config\030\006 \001(\0132@.google.cloud.aip"
-          + "latform.v1beta1.BatchPredictionJob.Outpu"
-          + "tConfigB\003\340A\002\022U\n\023dedicated_resources\030\007 \001("
-          + "\01328.google.cloud.aiplatform.v1beta1.Batc"
-          + "hDedicatedResources\022i\n\036manual_batch_tuni"
-          + "ng_parameters\030\010 \001(\0132<.google.cloud.aipla"
-          + "tform.v1beta1.ManualBatchTuningParameter"
-          + "sB\003\340A\005\022\034\n\024generate_explanation\030\027 \001(\010\022J\n\020"
-          + "explanation_spec\030\031 \001(\01320.google.cloud.ai"
-          + "platform.v1beta1.ExplanationSpec\022X\n\013outp"
-          + "ut_info\030\t \001(\0132>.google.cloud.aiplatform."
-          + "v1beta1.BatchPredictionJob.OutputInfoB\003\340"
-          + "A\003\022=\n\005state\030\n \001(\0162).google.cloud.aiplatf"
-          + "orm.v1beta1.JobStateB\003\340A\003\022&\n\005error\030\013 \001(\013"
-          + "2\022.google.rpc.StatusB\003\340A\003\0221\n\020partial_fai"
-          + "lures\030\014 \003(\0132\022.google.rpc.StatusB\003\340A\003\022S\n\022"
-          + "resources_consumed\030\r \001(\01322.google.cloud."
-          + "aiplatform.v1beta1.ResourcesConsumedB\003\340A"
-          + "\003\022O\n\020completion_stats\030\016 \001(\01320.google.clo"
-          + "ud.aiplatform.v1beta1.CompletionStatsB\003\340"
-          + "A\003\0224\n\013create_time\030\017 \001(\0132\032.google.protobu"
-          + "f.TimestampB\003\340A\003\0223\n\nstart_time\030\020 \001(\0132\032.g"
-          + "oogle.protobuf.TimestampB\003\340A\003\0221\n\010end_tim"
-          + "e\030\021 \001(\0132\032.google.protobuf.TimestampB\003\340A\003"
-          + "\0224\n\013update_time\030\022 \001(\0132\032.google.protobuf."
-          + "TimestampB\003\340A\003\022O\n\006labels\030\023 \003(\0132?.google."
-          + "cloud.aiplatform.v1beta1.BatchPrediction"
-          + "Job.LabelsEntry\022H\n\017encryption_spec\030\030 \001(\013"
-          + "2/.google.cloud.aiplatform.v1beta1.Encry"
-          + "ptionSpec\032\304\001\n\013InputConfig\022@\n\ngcs_source\030"
-          + "\002 \001(\0132*.google.cloud.aiplatform.v1beta1."
-          + "GcsSourceH\000\022J\n\017bigquery_source\030\003 \001(\0132/.g"
-          + "oogle.cloud.aiplatform.v1beta1.BigQueryS"
-          + "ourceH\000\022\035\n\020instances_format\030\001 \001(\tB\003\340A\002B\010"
-          + "\n\006source\032\340\001\n\014OutputConfig\022J\n\017gcs_destina"
-          + "tion\030\002 \001(\0132/.google.cloud.aiplatform.v1b"
-          + "eta1.GcsDestinationH\000\022T\n\024bigquery_destin"
-          + "ation\030\003 \001(\01324.google.cloud.aiplatform.v1"
-          + "beta1.BigQueryDestinationH\000\022\037\n\022predictio"
-          + "ns_format\030\001 \001(\tB\003\340A\002B\r\n\013destination\032l\n\nO"
-          + "utputInfo\022#\n\024gcs_output_directory\030\001 \001(\tB"
-          + "\003\340A\003H\000\022&\n\027bigquery_output_dataset\030\002 \001(\tB"
-          + "\003\340A\003H\000B\021\n\017output_location\032-\n\013LabelsEntry"
-          + "\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\206\001\352A\202\001\n"
-          + ",aiplatform.googleapis.com/BatchPredicti"
-          + "onJob\022Rprojects/{project}/locations/{loc"
-          + "ation}/batchPredictionJobs/{batch_predic"
-          + "tion_job}B\213\001\n#com.google.cloud.aiplatfor"
-          + "m.v1beta1B\027BatchPredictionJobProtoP\001ZIgo"
-          + "ogle.golang.org/genproto/googleapis/clou"
-          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
+          + "edictionJob.OutputInfoB\003\340A\003\022=\n\005state\030\n \001"
+          + "(\0162).google.cloud.aiplatform.v1beta1.Job"
+          + "StateB\003\340A\003\022&\n\005error\030\013 \001(\0132\022.google.rpc.S"
+          + "tatusB\003\340A\003\0221\n\020partial_failures\030\014 \003(\0132\022.g"
+          + "oogle.rpc.StatusB\003\340A\003\022S\n\022resources_consu"
+          + "med\030\r \001(\01322.google.cloud.aiplatform.v1be"
+          + "ta1.ResourcesConsumedB\003\340A\003\022O\n\020completion"
+          + "_stats\030\016 \001(\01320.google.cloud.aiplatform.v"
+          + "1beta1.CompletionStatsB\003\340A\003\0224\n\013create_ti"
+          + "me\030\017 \001(\0132\032.google.protobuf.TimestampB\003\340A"
+          + "\003\0223\n\nstart_time\030\020 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\0221\n\010end_time\030\021 \001(\0132\032.googl"
+          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
+          + "\030\022 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
+          + "O\n\006labels\030\023 \003(\0132?.google.cloud.aiplatfor"
+          + "m.v1beta1.BatchPredictionJob.LabelsEntry"
+          + "\032\304\001\n\013InputConfig\022@\n\ngcs_source\030\002 \001(\0132*.g"
+          + "oogle.cloud.aiplatform.v1beta1.GcsSource"
+          + "H\000\022J\n\017bigquery_source\030\003 \001(\0132/.google.clo"
+          + "ud.aiplatform.v1beta1.BigQuerySourceH\000\022\035"
+          + "\n\020instances_format\030\001 \001(\tB\003\340A\002B\010\n\006source\032"
+          + "\340\001\n\014OutputConfig\022J\n\017gcs_destination\030\002 \001("
+          + "\0132/.google.cloud.aiplatform.v1beta1.GcsD"
+          + "estinationH\000\022T\n\024bigquery_destination\030\003 \001"
+          + "(\01324.google.cloud.aiplatform.v1beta1.Big"
+          + "QueryDestinationH\000\022\037\n\022predictions_format"
+          + "\030\001 \001(\tB\003\340A\002B\r\n\013destination\032l\n\nOutputInfo"
+          + "\022#\n\024gcs_output_directory\030\001 \001(\tB\003\340A\003H\000\022&\n"
+          + "\027bigquery_output_dataset\030\002 \001(\tB\003\340A\003H\000B\021\n"
+          + "\017output_location\032-\n\013LabelsEntry\022\013\n\003key\030\001"
+          + " \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\206\001\352A\202\001\n,aiplatfo"
+          + "rm.googleapis.com/BatchPredictionJob\022Rpr"
+          + "ojects/{project}/locations/{location}/ba"
+          + "tchPredictionJobs/{batch_prediction_job}"
+          + "B\213\001\n#com.google.cloud.aiplatform.v1beta1"
+          + "B\027BatchPredictionJobProtoP\001ZIgoogle.gola"
+          + "ng.org/genproto/googleapis/cloud/aiplatf"
+          + "orm/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -138,7 +135,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.CompletionStatsProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
@@ -176,7 +172,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "EndTime",
               "UpdateTime",
               "Labels",
-              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchPredictionJob_InputConfig_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_BatchPredictionJob_descriptor
@@ -228,7 +223,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.CompletionStatsProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
index 7f47accd5..21da5207e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
@@ -117,13 +117,9 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project or table, up to 2000 characters long.
-   * When only project is specified, Dataset and Table is created.
-   * When full table reference is specified, Dataset must exist and table must
-   * not exist.
+   * Required. BigQuery URI to a project, up to 2000 characters long.
    * Accepted forms:
-   * *  BigQuery path. For example:
-   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+   * *  BigQuery path. For example: `bq://projectId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -146,13 +142,9 @@ public java.lang.String getOutputUri() {
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project or table, up to 2000 characters long.
-   * When only project is specified, Dataset and Table is created.
-   * When full table reference is specified, Dataset must exist and table must
-   * not exist.
+   * Required. BigQuery URI to a project, up to 2000 characters long.
    * Accepted forms:
-   * *  BigQuery path. For example:
-   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+   * *  BigQuery path. For example: `bq://projectId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -496,13 +488,9 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project or table, up to 2000 characters long.
-     * When only project is specified, Dataset and Table is created.
-     * When full table reference is specified, Dataset must exist and table must
-     * not exist.
+     * Required. BigQuery URI to a project, up to 2000 characters long.
      * Accepted forms:
-     * *  BigQuery path. For example:
-     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * *  BigQuery path. For example: `bq://projectId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -524,13 +512,9 @@ public java.lang.String getOutputUri() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project or table, up to 2000 characters long.
-     * When only project is specified, Dataset and Table is created.
-     * When full table reference is specified, Dataset must exist and table must
-     * not exist.
+     * Required. BigQuery URI to a project, up to 2000 characters long.
      * Accepted forms:
-     * *  BigQuery path. For example:
-     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * *  BigQuery path. For example: `bq://projectId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -552,13 +536,9 @@ public com.google.protobuf.ByteString getOutputUriBytes() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project or table, up to 2000 characters long.
-     * When only project is specified, Dataset and Table is created.
-     * When full table reference is specified, Dataset must exist and table must
-     * not exist.
+     * Required. BigQuery URI to a project, up to 2000 characters long.
      * Accepted forms:
-     * *  BigQuery path. For example:
-     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * *  BigQuery path. For example: `bq://projectId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -579,13 +559,9 @@ public Builder setOutputUri(java.lang.String value) {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project or table, up to 2000 characters long.
-     * When only project is specified, Dataset and Table is created.
-     * When full table reference is specified, Dataset must exist and table must
-     * not exist.
+     * Required. BigQuery URI to a project, up to 2000 characters long.
      * Accepted forms:
-     * *  BigQuery path. For example:
-     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * *  BigQuery path. For example: `bq://projectId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -602,13 +578,9 @@ public Builder clearOutputUri() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project or table, up to 2000 characters long.
-     * When only project is specified, Dataset and Table is created.
-     * When full table reference is specified, Dataset must exist and table must
-     * not exist.
+     * Required. BigQuery URI to a project, up to 2000 characters long.
      * Accepted forms:
-     * *  BigQuery path. For example:
-     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+     * *  BigQuery path. For example: `bq://projectId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
index 0ff99b258..aff64073c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
@@ -27,13 +27,9 @@ public interface BigQueryDestinationOrBuilder
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project or table, up to 2000 characters long.
-   * When only project is specified, Dataset and Table is created.
-   * When full table reference is specified, Dataset must exist and table must
-   * not exist.
+   * Required. BigQuery URI to a project, up to 2000 characters long.
    * Accepted forms:
-   * *  BigQuery path. For example:
-   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+   * *  BigQuery path. For example: `bq://projectId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -45,13 +41,9 @@ public interface BigQueryDestinationOrBuilder
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project or table, up to 2000 characters long.
-   * When only project is specified, Dataset and Table is created.
-   * When full table reference is specified, Dataset must exist and table must
-   * not exist.
+   * Required. BigQuery URI to a project, up to 2000 characters long.
    * Accepted forms:
-   * *  BigQuery path. For example:
-   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+   * *  BigQuery path. For example: `bq://projectId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
index 058277cd5..469374d81 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
@@ -199,23 +199,6 @@ private CustomJob(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
-              break;
-            }
-          case 98:
-            {
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
-              if (encryptionSpec_ != null) {
-                subBuilder = encryptionSpec_.toBuilder();
-              }
-              encryptionSpec_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(encryptionSpec_);
-                encryptionSpec_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           default:
@@ -824,60 +807,6 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
-  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 12;
-  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a CustomJob. If this is set,
-   * then all resources created by the CustomJob will be encrypted with the
-   * provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  @java.lang.Override
-  public boolean hasEncryptionSpec() {
-    return encryptionSpec_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a CustomJob. If this is set,
-   * then all resources created by the CustomJob will be encrypted with the
-   * provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-    return encryptionSpec_ == null
-        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-        : encryptionSpec_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a CustomJob. If this is set,
-   * then all resources created by the CustomJob will be encrypted with the
-   * provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
-    return getEncryptionSpec();
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -921,9 +850,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 11);
-    if (encryptionSpec_ != null) {
-      output.writeMessage(12, getEncryptionSpec());
-    }
     unknownFields.writeTo(output);
   }
 
@@ -970,9 +896,6 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, labels__);
     }
-    if (encryptionSpec_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(12, getEncryptionSpec());
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1017,10 +940,6 @@ public boolean equals(final java.lang.Object obj) {
       if (!getError().equals(other.getError())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
-    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
-    if (hasEncryptionSpec()) {
-      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
-    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1066,10 +985,6 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
-    if (hasEncryptionSpec()) {
-      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
-      hash = (53 * hash) + getEncryptionSpec().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1281,12 +1196,6 @@ public Builder clear() {
         errorBuilder_ = null;
       }
       internalGetMutableLabels().clear();
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
       return this;
     }
 
@@ -1350,11 +1259,6 @@ public com.google.cloud.aiplatform.v1beta1.CustomJob buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
-      if (encryptionSpecBuilder_ == null) {
-        result.encryptionSpec_ = encryptionSpec_;
-      } else {
-        result.encryptionSpec_ = encryptionSpecBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -1434,9 +1338,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.CustomJob other) {
         mergeError(other.getError());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
-      if (other.hasEncryptionSpec()) {
-        mergeEncryptionSpec(other.getEncryptionSpec());
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -3158,211 +3059,6 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        encryptionSpecBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     *
-     * @return Whether the encryptionSpec field is set.
-     */
-    public boolean hasEncryptionSpec() {
-      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     *
-     * @return The encryptionSpec.
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      } else {
-        return encryptionSpecBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     */
-    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        encryptionSpec_ = value;
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     */
-    public Builder setEncryptionSpec(
-        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = builderForValue.build();
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     */
-    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (encryptionSpec_ != null) {
-          encryptionSpec_ =
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          encryptionSpec_ = value;
-        }
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     */
-    public Builder clearEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-        onChanged();
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
-
-      onChanged();
-      return getEncryptionSpecFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
-        getEncryptionSpecOrBuilder() {
-      if (encryptionSpecBuilder_ != null) {
-        return encryptionSpecBuilder_.getMessageOrBuilder();
-      } else {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a CustomJob. If this is set,
-     * then all resources created by the CustomJob will be encrypted with the
-     * provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        getEncryptionSpecFieldBuilder() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpecBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
-                getEncryptionSpec(), getParentForChildren(), isClean());
-        encryptionSpec_ = null;
-      }
-      return encryptionSpecBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
index 516d9aa0a..23e21ff9d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
@@ -416,45 +416,4 @@ public interface CustomJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 11;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
-
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a CustomJob. If this is set,
-   * then all resources created by the CustomJob will be encrypted with the
-   * provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  boolean hasEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a CustomJob. If this is set,
-   * then all resources created by the CustomJob will be encrypted with the
-   * provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a CustomJob. If this is set,
-   * then all resources created by the CustomJob will be encrypted with the
-   * provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
index 78f43fce9..0261623f3 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
@@ -67,62 +67,58 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n0google/cloud/aiplatform/v1beta1/custom"
           + "_job.proto\022\037google.cloud.aiplatform.v1be"
           + "ta1\032\037google/api/field_behavior.proto\032\031go"
-          + "ogle/api/resource.proto\0325google/cloud/ai"
-          + "platform/v1beta1/encryption_spec.proto\032-"
-          + "google/cloud/aiplatform/v1beta1/env_var."
-          + "proto\032(google/cloud/aiplatform/v1beta1/i"
-          + "o.proto\032/google/cloud/aiplatform/v1beta1"
-          + "/job_state.proto\0327google/cloud/aiplatfor"
-          + "m/v1beta1/machine_resources.proto\032\036googl"
-          + "e/protobuf/duration.proto\032\037google/protob"
-          + "uf/timestamp.proto\032\027google/rpc/status.pr"
-          + "oto\032\034google/api/annotations.proto\"\347\005\n\tCu"
-          + "stomJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_na"
-          + "me\030\002 \001(\tB\003\340A\002\022E\n\010job_spec\030\004 \001(\0132..google"
-          + ".cloud.aiplatform.v1beta1.CustomJobSpecB"
-          + "\003\340A\002\022=\n\005state\030\005 \001(\0162).google.cloud.aipla"
-          + "tform.v1beta1.JobStateB\003\340A\003\0224\n\013create_ti"
-          + "me\030\006 \001(\0132\032.google.protobuf.TimestampB\003\340A"
-          + "\003\0223\n\nstart_time\030\007 \001(\0132\032.google.protobuf."
-          + "TimestampB\003\340A\003\0221\n\010end_time\030\010 \001(\0132\032.googl"
-          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
-          + "\030\t \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
-          + "&\n\005error\030\n \001(\0132\022.google.rpc.StatusB\003\340A\003\022"
-          + "F\n\006labels\030\013 \003(\01326.google.cloud.aiplatfor"
-          + "m.v1beta1.CustomJob.LabelsEntry\022H\n\017encry"
-          + "ption_spec\030\014 \001(\0132/.google.cloud.aiplatfo"
-          + "rm.v1beta1.EncryptionSpec\032-\n\013LabelsEntry"
-          + "\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:i\352Af\n#a"
-          + "iplatform.googleapis.com/CustomJob\022?proj"
-          + "ects/{project}/locations/{location}/cust"
-          + "omJobs/{custom_job}\"\233\002\n\rCustomJobSpec\022O\n"
-          + "\021worker_pool_specs\030\001 \003(\0132/.google.cloud."
-          + "aiplatform.v1beta1.WorkerPoolSpecB\003\340A\002\022?"
-          + "\n\nscheduling\030\003 \001(\0132+.google.cloud.aiplat"
-          + "form.v1beta1.Scheduling\022\027\n\017service_accou"
-          + "nt\030\004 \001(\t\022\017\n\007network\030\005 \001(\t\022N\n\025base_output"
-          + "_directory\030\006 \001(\0132/.google.cloud.aiplatfo"
-          + "rm.v1beta1.GcsDestination\"\333\002\n\016WorkerPool"
-          + "Spec\022H\n\016container_spec\030\006 \001(\0132..google.cl"
-          + "oud.aiplatform.v1beta1.ContainerSpecH\000\022Q"
-          + "\n\023python_package_spec\030\007 \001(\01322.google.clo"
-          + "ud.aiplatform.v1beta1.PythonPackageSpecH"
-          + "\000\022J\n\014machine_spec\030\001 \001(\0132,.google.cloud.a"
-          + "iplatform.v1beta1.MachineSpecB\006\340A\001\340A\005\022\032\n"
-          + "\rreplica_count\030\002 \001(\003B\003\340A\001\022<\n\tdisk_spec\030\005"
-          + " \001(\0132).google.cloud.aiplatform.v1beta1.D"
-          + "iskSpecB\006\n\004task\"F\n\rContainerSpec\022\026\n\timag"
-          + "e_uri\030\001 \001(\tB\003\340A\002\022\017\n\007command\030\002 \003(\t\022\014\n\004arg"
-          + "s\030\003 \003(\t\"y\n\021PythonPackageSpec\022\037\n\022executor"
-          + "_image_uri\030\001 \001(\tB\003\340A\002\022\031\n\014package_uris\030\002 "
-          + "\003(\tB\003\340A\002\022\032\n\rpython_module\030\003 \001(\tB\003\340A\002\022\014\n\004"
-          + "args\030\004 \003(\t\"_\n\nScheduling\022*\n\007timeout\030\001 \001("
-          + "\0132\031.google.protobuf.Duration\022%\n\035restart_"
-          + "job_on_worker_restart\030\003 \001(\010B\202\001\n#com.goog"
-          + "le.cloud.aiplatform.v1beta1B\016CustomJobPr"
-          + "otoP\001ZIgoogle.golang.org/genproto/google"
-          + "apis/cloud/aiplatform/v1beta1;aiplatform"
-          + "b\006proto3"
+          + "ogle/api/resource.proto\032-google/cloud/ai"
+          + "platform/v1beta1/env_var.proto\032(google/c"
+          + "loud/aiplatform/v1beta1/io.proto\032/google"
+          + "/cloud/aiplatform/v1beta1/job_state.prot"
+          + "o\0327google/cloud/aiplatform/v1beta1/machi"
+          + "ne_resources.proto\032\036google/protobuf/dura"
+          + "tion.proto\032\037google/protobuf/timestamp.pr"
+          + "oto\032\027google/rpc/status.proto\032\034google/api"
+          + "/annotations.proto\"\235\005\n\tCustomJob\022\021\n\004name"
+          + "\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022E"
+          + "\n\010job_spec\030\004 \001(\0132..google.cloud.aiplatfo"
+          + "rm.v1beta1.CustomJobSpecB\003\340A\002\022=\n\005state\030\005"
+          + " \001(\0162).google.cloud.aiplatform.v1beta1.J"
+          + "obStateB\003\340A\003\0224\n\013create_time\030\006 \001(\0132\032.goog"
+          + "le.protobuf.TimestampB\003\340A\003\0223\n\nstart_time"
+          + "\030\007 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
+          + "1\n\010end_time\030\010 \001(\0132\032.google.protobuf.Time"
+          + "stampB\003\340A\003\0224\n\013update_time\030\t \001(\0132\032.google"
+          + ".protobuf.TimestampB\003\340A\003\022&\n\005error\030\n \001(\0132"
+          + "\022.google.rpc.StatusB\003\340A\003\022F\n\006labels\030\013 \003(\013"
+          + "26.google.cloud.aiplatform.v1beta1.Custo"
+          + "mJob.LabelsEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001"
+          + " \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:i\352Af\n#aiplatform"
+          + ".googleapis.com/CustomJob\022?projects/{pro"
+          + "ject}/locations/{location}/customJobs/{c"
+          + "ustom_job}\"\233\002\n\rCustomJobSpec\022O\n\021worker_p"
+          + "ool_specs\030\001 \003(\0132/.google.cloud.aiplatfor"
+          + "m.v1beta1.WorkerPoolSpecB\003\340A\002\022?\n\nschedul"
+          + "ing\030\003 \001(\0132+.google.cloud.aiplatform.v1be"
+          + "ta1.Scheduling\022\027\n\017service_account\030\004 \001(\t\022"
+          + "\017\n\007network\030\005 \001(\t\022N\n\025base_output_director"
+          + "y\030\006 \001(\0132/.google.cloud.aiplatform.v1beta"
+          + "1.GcsDestination\"\333\002\n\016WorkerPoolSpec\022H\n\016c"
+          + "ontainer_spec\030\006 \001(\0132..google.cloud.aipla"
+          + "tform.v1beta1.ContainerSpecH\000\022Q\n\023python_"
+          + "package_spec\030\007 \001(\01322.google.cloud.aiplat"
+          + "form.v1beta1.PythonPackageSpecH\000\022J\n\014mach"
+          + "ine_spec\030\001 \001(\0132,.google.cloud.aiplatform"
+          + ".v1beta1.MachineSpecB\006\340A\002\340A\005\022\032\n\rreplica_"
+          + "count\030\002 \001(\003B\003\340A\002\022<\n\tdisk_spec\030\005 \001(\0132).go"
+          + "ogle.cloud.aiplatform.v1beta1.DiskSpecB\006"
+          + "\n\004task\"F\n\rContainerSpec\022\026\n\timage_uri\030\001 \001"
+          + "(\tB\003\340A\002\022\017\n\007command\030\002 \003(\t\022\014\n\004args\030\003 \003(\t\"y"
+          + "\n\021PythonPackageSpec\022\037\n\022executor_image_ur"
+          + "i\030\001 \001(\tB\003\340A\002\022\031\n\014package_uris\030\002 \003(\tB\003\340A\002\022"
+          + "\032\n\rpython_module\030\003 \001(\tB\003\340A\002\022\014\n\004args\030\004 \003("
+          + "\t\"_\n\nScheduling\022*\n\007timeout\030\001 \001(\0132\031.googl"
+          + "e.protobuf.Duration\022%\n\035restart_job_on_wo"
+          + "rker_restart\030\003 \001(\010B\202\001\n#com.google.cloud."
+          + "aiplatform.v1beta1B\016CustomJobProtoP\001ZIgo"
+          + "ogle.golang.org/genproto/googleapis/clou"
+          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -130,7 +126,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
@@ -156,7 +151,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Error",
               "Labels",
-              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_CustomJob_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_CustomJob_descriptor
@@ -221,7 +215,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
index b0c020694..137e2116c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
@@ -307,8 +307,6 @@ public com.google.cloud.aiplatform.v1beta1.SchedulingOrBuilder getSchedulingOrBu
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
-   * If unspecified, the AI Platform Custom Code Service Agent for the
-   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -333,8 +331,6 @@ public java.lang.String getServiceAccount() {
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
-   * If unspecified, the AI Platform Custom Code Service Agent for the
-   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -362,10 +358,11 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, `projects/12345/global/networks/myVPC`.
-   * [Format](/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form `projects/{project}/global/networks/{network}`.
-   * Where {project} is a project number, as in `12345`, and {network} is a
+   * should be peered. For example, projects/12345/global/networks/myVPC.
+   * [Format](https:
+   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form projects/{project}/global/networks/{network}.
+   * Where {project} is a project number, as in '12345', and {network} is
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -393,10 +390,11 @@ public java.lang.String getNetwork() {
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, `projects/12345/global/networks/myVPC`.
-   * [Format](/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form `projects/{project}/global/networks/{network}`.
-   * Where {project} is a project number, as in `12345`, and {network} is a
+   * should be peered. For example, projects/12345/global/networks/myVPC.
+   * [Format](https:
+   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form projects/{project}/global/networks/{network}.
+   * Where {project} is a project number, as in '12345', and {network} is
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -425,14 +423,14 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    *
    * <pre>
-   * The Cloud Storage location to store the output of this CustomJob or
+   * The Google Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * the baseOutputDirectory of
+   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
-   * The following AI Platform environment variables will be passed to
-   * containers or python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+   * Following AI Platform environment variables will be passed to containers or
+   * python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -455,14 +453,14 @@ public boolean hasBaseOutputDirectory() {
    *
    *
    * <pre>
-   * The Cloud Storage location to store the output of this CustomJob or
+   * The Google Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * the baseOutputDirectory of
+   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
-   * The following AI Platform environment variables will be passed to
-   * containers or python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+   * Following AI Platform environment variables will be passed to containers or
+   * python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -487,14 +485,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
    *
    *
    * <pre>
-   * The Cloud Storage location to store the output of this CustomJob or
+   * The Google Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * the baseOutputDirectory of
+   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
-   * The following AI Platform environment variables will be passed to
-   * containers or python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+   * Following AI Platform environment variables will be passed to containers or
+   * python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1552,8 +1550,6 @@ public com.google.cloud.aiplatform.v1beta1.SchedulingOrBuilder getSchedulingOrBu
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
-     * If unspecified, the AI Platform Custom Code Service Agent for the
-     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1577,8 +1573,6 @@ public java.lang.String getServiceAccount() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
-     * If unspecified, the AI Platform Custom Code Service Agent for the
-     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1602,8 +1596,6 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
-     * If unspecified, the AI Platform Custom Code Service Agent for the
-     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1626,8 +1618,6 @@ public Builder setServiceAccount(java.lang.String value) {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
-     * If unspecified, the AI Platform Custom Code Service Agent for the
-     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1646,8 +1636,6 @@ public Builder clearServiceAccount() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
-     * If unspecified, the AI Platform Custom Code Service Agent for the
-     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1673,10 +1661,11 @@ public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, `projects/12345/global/networks/myVPC`.
-     * [Format](/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form `projects/{project}/global/networks/{network}`.
-     * Where {project} is a project number, as in `12345`, and {network} is a
+     * should be peered. For example, projects/12345/global/networks/myVPC.
+     * [Format](https:
+     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form projects/{project}/global/networks/{network}.
+     * Where {project} is a project number, as in '12345', and {network} is
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1703,10 +1692,11 @@ public java.lang.String getNetwork() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, `projects/12345/global/networks/myVPC`.
-     * [Format](/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form `projects/{project}/global/networks/{network}`.
-     * Where {project} is a project number, as in `12345`, and {network} is a
+     * should be peered. For example, projects/12345/global/networks/myVPC.
+     * [Format](https:
+     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form projects/{project}/global/networks/{network}.
+     * Where {project} is a project number, as in '12345', and {network} is
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1733,10 +1723,11 @@ public com.google.protobuf.ByteString getNetworkBytes() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, `projects/12345/global/networks/myVPC`.
-     * [Format](/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form `projects/{project}/global/networks/{network}`.
-     * Where {project} is a project number, as in `12345`, and {network} is a
+     * should be peered. For example, projects/12345/global/networks/myVPC.
+     * [Format](https:
+     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form projects/{project}/global/networks/{network}.
+     * Where {project} is a project number, as in '12345', and {network} is
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1762,10 +1753,11 @@ public Builder setNetwork(java.lang.String value) {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, `projects/12345/global/networks/myVPC`.
-     * [Format](/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form `projects/{project}/global/networks/{network}`.
-     * Where {project} is a project number, as in `12345`, and {network} is a
+     * should be peered. For example, projects/12345/global/networks/myVPC.
+     * [Format](https:
+     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form projects/{project}/global/networks/{network}.
+     * Where {project} is a project number, as in '12345', and {network} is
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1787,10 +1779,11 @@ public Builder clearNetwork() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, `projects/12345/global/networks/myVPC`.
-     * [Format](/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form `projects/{project}/global/networks/{network}`.
-     * Where {project} is a project number, as in `12345`, and {network} is a
+     * should be peered. For example, projects/12345/global/networks/myVPC.
+     * [Format](https:
+     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form projects/{project}/global/networks/{network}.
+     * Where {project} is a project number, as in '12345', and {network} is
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1822,14 +1815,14 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1851,14 +1844,14 @@ public boolean hasBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1886,14 +1879,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1924,14 +1917,14 @@ public Builder setBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1959,14 +1952,14 @@ public Builder setBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2001,14 +1994,14 @@ public Builder mergeBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2036,14 +2029,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2066,14 +2059,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2100,14 +2093,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Cloud Storage location to store the output of this CustomJob or
+     * The Google Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * the baseOutputDirectory of
+     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-     * baseOutputDirectory.
-     * The following AI Platform environment variables will be passed to
-     * containers or python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+     * Following AI Platform environment variables will be passed to containers or
+     * python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
index 483100384..a6c089ef2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
@@ -127,8 +127,6 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
-   * If unspecified, the AI Platform Custom Code Service Agent for the
-   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -142,8 +140,6 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
-   * If unspecified, the AI Platform Custom Code Service Agent for the
-   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -158,10 +154,11 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, `projects/12345/global/networks/myVPC`.
-   * [Format](/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form `projects/{project}/global/networks/{network}`.
-   * Where {project} is a project number, as in `12345`, and {network} is a
+   * should be peered. For example, projects/12345/global/networks/myVPC.
+   * [Format](https:
+   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form projects/{project}/global/networks/{network}.
+   * Where {project} is a project number, as in '12345', and {network} is
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -178,10 +175,11 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, `projects/12345/global/networks/myVPC`.
-   * [Format](/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form `projects/{project}/global/networks/{network}`.
-   * Where {project} is a project number, as in `12345`, and {network} is a
+   * should be peered. For example, projects/12345/global/networks/myVPC.
+   * [Format](https:
+   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form projects/{project}/global/networks/{network}.
+   * Where {project} is a project number, as in '12345', and {network} is
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -197,14 +195,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Cloud Storage location to store the output of this CustomJob or
+   * The Google Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * the baseOutputDirectory of
+   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
-   * The following AI Platform environment variables will be passed to
-   * containers or python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+   * Following AI Platform environment variables will be passed to containers or
+   * python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -224,14 +222,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Cloud Storage location to store the output of this CustomJob or
+   * The Google Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * the baseOutputDirectory of
+   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
-   * The following AI Platform environment variables will be passed to
-   * containers or python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+   * Following AI Platform environment variables will be passed to containers or
+   * python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -251,14 +249,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Cloud Storage location to store the output of this CustomJob or
+   * The Google Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * the baseOutputDirectory of
+   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-   * baseOutputDirectory.
-   * The following AI Platform environment variables will be passed to
-   * containers or python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
+   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+   * Following AI Platform environment variables will be passed to containers or
+   * python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
index 2df6ab022..6e0fe044c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
@@ -229,23 +229,6 @@ private DataLabelingJob(
                 mutable_bitField0_ |= 0x00000008;
               }
               specialistPools_.add(s);
-              break;
-            }
-          case 162:
-            {
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
-              if (encryptionSpec_ != null) {
-                subBuilder = encryptionSpec_.toBuilder();
-              }
-              encryptionSpec_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(encryptionSpec_);
-                encryptionSpec_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           case 170:
@@ -1265,70 +1248,13 @@ public com.google.protobuf.ByteString getSpecialistPoolsBytes(int index) {
     return specialistPools_.getByteString(index);
   }
 
-  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 20;
-  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-   * DataLabelingJob will be secured by this key.
-   * Note: Annotations created in the DataLabelingJob are associated with
-   * the EncryptionSpec of the Dataset they are exported to.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  @java.lang.Override
-  public boolean hasEncryptionSpec() {
-    return encryptionSpec_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-   * DataLabelingJob will be secured by this key.
-   * Note: Annotations created in the DataLabelingJob are associated with
-   * the EncryptionSpec of the Dataset they are exported to.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-    return encryptionSpec_ == null
-        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-        : encryptionSpec_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-   * DataLabelingJob will be secured by this key.
-   * Note: Annotations created in the DataLabelingJob are associated with
-   * the EncryptionSpec of the Dataset they are exported to.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
-    return getEncryptionSpec();
-  }
-
   public static final int ACTIVE_LEARNING_CONFIG_FIELD_NUMBER = 21;
   private com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig activeLearningConfig_;
   /**
    *
    *
    * <pre>
-   * Parameters that configure active learning pipeline. Active learning will
+   * Paramaters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1345,7 +1271,7 @@ public boolean hasActiveLearningConfig() {
    *
    *
    * <pre>
-   * Parameters that configure active learning pipeline. Active learning will
+   * Paramaters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1364,7 +1290,7 @@ public com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig getActiveLearnin
    *
    *
    * <pre>
-   * Parameters that configure active learning pipeline. Active learning will
+   * Paramaters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1434,9 +1360,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     for (int i = 0; i < specialistPools_.size(); i++) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 16, specialistPools_.getRaw(i));
     }
-    if (encryptionSpec_ != null) {
-      output.writeMessage(20, getEncryptionSpec());
-    }
     if (activeLearningConfig_ != null) {
       output.writeMessage(21, getActiveLearningConfig());
     }
@@ -1521,9 +1444,6 @@ public int getSerializedSize() {
       size += dataSize;
       size += 2 * getSpecialistPoolsList().size();
     }
-    if (encryptionSpec_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(20, getEncryptionSpec());
-    }
     if (activeLearningConfig_ != null) {
       size +=
           com.google.protobuf.CodedOutputStream.computeMessageSize(21, getActiveLearningConfig());
@@ -1578,10 +1498,6 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
     if (!getSpecialistPoolsList().equals(other.getSpecialistPoolsList())) return false;
-    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
-    if (hasEncryptionSpec()) {
-      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
-    }
     if (hasActiveLearningConfig() != other.hasActiveLearningConfig()) return false;
     if (hasActiveLearningConfig()) {
       if (!getActiveLearningConfig().equals(other.getActiveLearningConfig())) return false;
@@ -1647,10 +1563,6 @@ public int hashCode() {
       hash = (37 * hash) + SPECIALIST_POOLS_FIELD_NUMBER;
       hash = (53 * hash) + getSpecialistPoolsList().hashCode();
     }
-    if (hasEncryptionSpec()) {
-      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
-      hash = (53 * hash) + getEncryptionSpec().hashCode();
-    }
     if (hasActiveLearningConfig()) {
       hash = (37 * hash) + ACTIVE_LEARNING_CONFIG_FIELD_NUMBER;
       hash = (53 * hash) + getActiveLearningConfig().hashCode();
@@ -1875,12 +1787,6 @@ public Builder clear() {
       internalGetMutableLabels().clear();
       specialistPools_ = com.google.protobuf.LazyStringArrayList.EMPTY;
       bitField0_ = (bitField0_ & ~0x00000008);
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
       if (activeLearningConfigBuilder_ == null) {
         activeLearningConfig_ = null;
       } else {
@@ -1961,11 +1867,6 @@ public com.google.cloud.aiplatform.v1beta1.DataLabelingJob buildPartial() {
         bitField0_ = (bitField0_ & ~0x00000008);
       }
       result.specialistPools_ = specialistPools_;
-      if (encryptionSpecBuilder_ == null) {
-        result.encryptionSpec_ = encryptionSpec_;
-      } else {
-        result.encryptionSpec_ = encryptionSpecBuilder_.build();
-      }
       if (activeLearningConfigBuilder_ == null) {
         result.activeLearningConfig_ = activeLearningConfig_;
       } else {
@@ -2083,9 +1984,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.DataLabelingJob oth
         }
         onChanged();
       }
-      if (other.hasEncryptionSpec()) {
-        mergeEncryptionSpec(other.getEncryptionSpec());
-      }
       if (other.hasActiveLearningConfig()) {
         mergeActiveLearningConfig(other.getActiveLearningConfig());
       }
@@ -4552,220 +4450,6 @@ public Builder addSpecialistPoolsBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        encryptionSpecBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     *
-     * @return Whether the encryptionSpec field is set.
-     */
-    public boolean hasEncryptionSpec() {
-      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     *
-     * @return The encryptionSpec.
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      } else {
-        return encryptionSpecBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     */
-    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        encryptionSpec_ = value;
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     */
-    public Builder setEncryptionSpec(
-        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = builderForValue.build();
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     */
-    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (encryptionSpec_ != null) {
-          encryptionSpec_ =
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          encryptionSpec_ = value;
-        }
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     */
-    public Builder clearEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-        onChanged();
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
-
-      onChanged();
-      return getEncryptionSpecFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
-        getEncryptionSpecOrBuilder() {
-      if (encryptionSpecBuilder_ != null) {
-        return encryptionSpecBuilder_.getMessageOrBuilder();
-      } else {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-     * DataLabelingJob will be secured by this key.
-     * Note: Annotations created in the DataLabelingJob are associated with
-     * the EncryptionSpec of the Dataset they are exported to.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        getEncryptionSpecFieldBuilder() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpecBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
-                getEncryptionSpec(), getParentForChildren(), isClean());
-        encryptionSpec_ = null;
-      }
-      return encryptionSpecBuilder_;
-    }
-
     private com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig activeLearningConfig_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig,
@@ -4776,7 +4460,7 @@ public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionS
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4793,7 +4477,7 @@ public boolean hasActiveLearningConfig() {
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4816,7 +4500,7 @@ public com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig getActiveLearnin
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4842,7 +4526,7 @@ public Builder setActiveLearningConfig(
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4865,7 +4549,7 @@ public Builder setActiveLearningConfig(
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4896,7 +4580,7 @@ public Builder mergeActiveLearningConfig(
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4919,7 +4603,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4937,7 +4621,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4959,7 +4643,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Parameters that configure active learning pipeline. Active learning will
+     * Paramaters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
index 5e4ffea31..d14e83ae7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
@@ -692,51 +692,7 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-   * DataLabelingJob will be secured by this key.
-   * Note: Annotations created in the DataLabelingJob are associated with
-   * the EncryptionSpec of the Dataset they are exported to.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  boolean hasEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-   * DataLabelingJob will be secured by this key.
-   * Note: Annotations created in the DataLabelingJob are associated with
-   * the EncryptionSpec of the Dataset they are exported to.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
-   * DataLabelingJob will be secured by this key.
-   * Note: Annotations created in the DataLabelingJob are associated with
-   * the EncryptionSpec of the Dataset they are exported to.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
-
-  /**
-   *
-   *
-   * <pre>
-   * Parameters that configure active learning pipeline. Active learning will
+   * Paramaters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -750,7 +706,7 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Parameters that configure active learning pipeline. Active learning will
+   * Paramaters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -764,7 +720,7 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Parameters that configure active learning pipeline. Active learning will
+   * Paramaters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
index 3fb48edbb..ab991290d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
@@ -65,62 +65,59 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "rm.v1beta1\032\037google/api/field_behavior.pr"
           + "oto\032\031google/api/resource.proto\0326google/c"
           + "loud/aiplatform/v1beta1/accelerator_type"
-          + ".proto\0325google/cloud/aiplatform/v1beta1/"
-          + "encryption_spec.proto\032/google/cloud/aipl"
-          + "atform/v1beta1/job_state.proto\0325google/c"
-          + "loud/aiplatform/v1beta1/specialist_pool."
-          + "proto\032\034google/protobuf/struct.proto\032\037goo"
-          + "gle/protobuf/timestamp.proto\032\027google/rpc"
-          + "/status.proto\032\027google/type/money.proto\032\034"
-          + "google/api/annotations.proto\"\370\010\n\017DataLab"
-          + "elingJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_n"
-          + "ame\030\002 \001(\tB\003\340A\002\022;\n\010datasets\030\003 \003(\tB)\340A\002\372A#"
-          + "\n!aiplatform.googleapis.com/Dataset\022a\n\021a"
-          + "nnotation_labels\030\014 \003(\0132F.google.cloud.ai"
-          + "platform.v1beta1.DataLabelingJob.Annotat"
-          + "ionLabelsEntry\022\032\n\rlabeler_count\030\004 \001(\005B\003\340"
-          + "A\002\022\034\n\017instruction_uri\030\005 \001(\tB\003\340A\002\022\036\n\021inpu"
-          + "ts_schema_uri\030\006 \001(\tB\003\340A\002\022+\n\006inputs\030\007 \001(\013"
-          + "2\026.google.protobuf.ValueB\003\340A\002\022=\n\005state\030\010"
-          + " \001(\0162).google.cloud.aiplatform.v1beta1.J"
-          + "obStateB\003\340A\003\022\036\n\021labeling_progress\030\r \001(\005B"
-          + "\003\340A\003\022.\n\rcurrent_spend\030\016 \001(\0132\022.google.typ"
-          + "e.MoneyB\003\340A\003\0224\n\013create_time\030\t \001(\0132\032.goog"
-          + "le.protobuf.TimestampB\003\340A\003\0224\n\013update_tim"
-          + "e\030\n \001(\0132\032.google.protobuf.TimestampB\003\340A\003"
-          + "\022&\n\005error\030\026 \001(\0132\022.google.rpc.StatusB\003\340A\003"
-          + "\022L\n\006labels\030\013 \003(\0132<.google.cloud.aiplatfo"
-          + "rm.v1beta1.DataLabelingJob.LabelsEntry\022\030"
-          + "\n\020specialist_pools\030\020 \003(\t\022H\n\017encryption_s"
-          + "pec\030\024 \001(\0132/.google.cloud.aiplatform.v1be"
-          + "ta1.EncryptionSpec\022U\n\026active_learning_co"
-          + "nfig\030\025 \001(\01325.google.cloud.aiplatform.v1b"
-          + "eta1.ActiveLearningConfig\0327\n\025AnnotationL"
-          + "abelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\002"
-          + "8\001\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030"
-          + "\002 \001(\t:\0028\001:|\352Ay\n)aiplatform.googleapis.co"
-          + "m/DataLabelingJob\022Lprojects/{project}/lo"
-          + "cations/{location}/dataLabelingJobs/{dat"
-          + "a_labeling_job}\"\202\002\n\024ActiveLearningConfig"
-          + "\022\035\n\023max_data_item_count\030\001 \001(\003H\000\022\"\n\030max_d"
-          + "ata_item_percentage\030\002 \001(\005H\000\022D\n\rsample_co"
-          + "nfig\030\003 \001(\0132-.google.cloud.aiplatform.v1b"
-          + "eta1.SampleConfig\022H\n\017training_config\030\004 \001"
-          + "(\0132/.google.cloud.aiplatform.v1beta1.Tra"
-          + "iningConfigB\027\n\025human_labeling_budget\"\275\002\n"
-          + "\014SampleConfig\022)\n\037initial_batch_sample_pe"
-          + "rcentage\030\001 \001(\005H\000\022+\n!following_batch_samp"
-          + "le_percentage\030\003 \001(\005H\001\022U\n\017sample_strategy"
-          + "\030\005 \001(\0162<.google.cloud.aiplatform.v1beta1"
-          + ".SampleConfig.SampleStrategy\"B\n\016SampleSt"
-          + "rategy\022\037\n\033SAMPLE_STRATEGY_UNSPECIFIED\020\000\022"
-          + "\017\n\013UNCERTAINTY\020\001B\033\n\031initial_batch_sample"
-          + "_sizeB\035\n\033following_batch_sample_size\"6\n\016"
-          + "TrainingConfig\022$\n\034timeout_training_milli"
-          + "_hours\030\001 \001(\003B\210\001\n#com.google.cloud.aiplat"
-          + "form.v1beta1B\024DataLabelingJobProtoP\001ZIgo"
-          + "ogle.golang.org/genproto/googleapis/clou"
-          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
+          + ".proto\032/google/cloud/aiplatform/v1beta1/"
+          + "job_state.proto\0325google/cloud/aiplatform"
+          + "/v1beta1/specialist_pool.proto\032\034google/p"
+          + "rotobuf/struct.proto\032\037google/protobuf/ti"
+          + "mestamp.proto\032\027google/rpc/status.proto\032\027"
+          + "google/type/money.proto\032\034google/api/anno"
+          + "tations.proto\"\256\010\n\017DataLabelingJob\022\021\n\004nam"
+          + "e\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022"
+          + ";\n\010datasets\030\003 \003(\tB)\340A\002\372A#\n!aiplatform.go"
+          + "ogleapis.com/Dataset\022a\n\021annotation_label"
+          + "s\030\014 \003(\0132F.google.cloud.aiplatform.v1beta"
+          + "1.DataLabelingJob.AnnotationLabelsEntry\022"
+          + "\032\n\rlabeler_count\030\004 \001(\005B\003\340A\002\022\034\n\017instructi"
+          + "on_uri\030\005 \001(\tB\003\340A\002\022\036\n\021inputs_schema_uri\030\006"
+          + " \001(\tB\003\340A\002\022+\n\006inputs\030\007 \001(\0132\026.google.proto"
+          + "buf.ValueB\003\340A\002\022=\n\005state\030\010 \001(\0162).google.c"
+          + "loud.aiplatform.v1beta1.JobStateB\003\340A\003\022\036\n"
+          + "\021labeling_progress\030\r \001(\005B\003\340A\003\022.\n\rcurrent"
+          + "_spend\030\016 \001(\0132\022.google.type.MoneyB\003\340A\003\0224\n"
+          + "\013create_time\030\t \001(\0132\032.google.protobuf.Tim"
+          + "estampB\003\340A\003\0224\n\013update_time\030\n \001(\0132\032.googl"
+          + "e.protobuf.TimestampB\003\340A\003\022&\n\005error\030\026 \001(\013"
+          + "2\022.google.rpc.StatusB\003\340A\003\022L\n\006labels\030\013 \003("
+          + "\0132<.google.cloud.aiplatform.v1beta1.Data"
+          + "LabelingJob.LabelsEntry\022\030\n\020specialist_po"
+          + "ols\030\020 \003(\t\022U\n\026active_learning_config\030\025 \001("
+          + "\01325.google.cloud.aiplatform.v1beta1.Acti"
+          + "veLearningConfig\0327\n\025AnnotationLabelsEntr"
+          + "y\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\032-\n\013Lab"
+          + "elsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001"
+          + ":|\352Ay\n)aiplatform.googleapis.com/DataLab"
+          + "elingJob\022Lprojects/{project}/locations/{"
+          + "location}/dataLabelingJobs/{data_labelin"
+          + "g_job}\"\202\002\n\024ActiveLearningConfig\022\035\n\023max_d"
+          + "ata_item_count\030\001 \001(\003H\000\022\"\n\030max_data_item_"
+          + "percentage\030\002 \001(\005H\000\022D\n\rsample_config\030\003 \001("
+          + "\0132-.google.cloud.aiplatform.v1beta1.Samp"
+          + "leConfig\022H\n\017training_config\030\004 \001(\0132/.goog"
+          + "le.cloud.aiplatform.v1beta1.TrainingConf"
+          + "igB\027\n\025human_labeling_budget\"\275\002\n\014SampleCo"
+          + "nfig\022)\n\037initial_batch_sample_percentage\030"
+          + "\001 \001(\005H\000\022+\n!following_batch_sample_percen"
+          + "tage\030\003 \001(\005H\001\022U\n\017sample_strategy\030\005 \001(\0162<."
+          + "google.cloud.aiplatform.v1beta1.SampleCo"
+          + "nfig.SampleStrategy\"B\n\016SampleStrategy\022\037\n"
+          + "\033SAMPLE_STRATEGY_UNSPECIFIED\020\000\022\017\n\013UNCERT"
+          + "AINTY\020\001B\033\n\031initial_batch_sample_sizeB\035\n\033"
+          + "following_batch_sample_size\"6\n\016TrainingC"
+          + "onfig\022$\n\034timeout_training_milli_hours\030\001 "
+          + "\001(\003B\210\001\n#com.google.cloud.aiplatform.v1be"
+          + "ta1B\024DataLabelingJobProtoP\001ZIgoogle.gola"
+          + "ng.org/genproto/googleapis/cloud/aiplatf"
+          + "orm/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -129,7 +126,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.AcceleratorTypeProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.SpecialistPoolProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
@@ -160,7 +156,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Error",
               "Labels",
               "SpecialistPools",
-              "EncryptionSpec",
               "ActiveLearningConfig",
             });
     internal_static_google_cloud_aiplatform_v1beta1_DataLabelingJob_AnnotationLabelsEntry_descriptor =
@@ -225,7 +220,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.AcceleratorTypeProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.SpecialistPoolProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
index 839cb7af2..01df6018b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
@@ -157,23 +157,6 @@ private Dataset(
                 metadata_ = subBuilder.buildPartial();
               }
 
-              break;
-            }
-          case 90:
-            {
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
-              if (encryptionSpec_ != null) {
-                subBuilder = encryptionSpec_.toBuilder();
-              }
-              encryptionSpec_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(encryptionSpec_);
-                encryptionSpec_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           default:
@@ -713,57 +696,6 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
-  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 11;
-  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-   * and all sub-resources of this Dataset will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  @java.lang.Override
-  public boolean hasEncryptionSpec() {
-    return encryptionSpec_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-   * and all sub-resources of this Dataset will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-    return encryptionSpec_ == null
-        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-        : encryptionSpec_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-   * and all sub-resources of this Dataset will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
-    return getEncryptionSpec();
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -801,9 +733,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (metadata_ != null) {
       output.writeMessage(8, getMetadata());
     }
-    if (encryptionSpec_ != null) {
-      output.writeMessage(11, getEncryptionSpec());
-    }
     unknownFields.writeTo(output);
   }
 
@@ -844,9 +773,6 @@ public int getSerializedSize() {
     if (metadata_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getMetadata());
     }
-    if (encryptionSpec_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getEncryptionSpec());
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -880,10 +806,6 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!getEtag().equals(other.getEtag())) return false;
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
-    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
-    if (hasEncryptionSpec()) {
-      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
-    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -919,10 +841,6 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
-    if (hasEncryptionSpec()) {
-      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
-      hash = (53 * hash) + getEncryptionSpec().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1115,12 +1033,6 @@ public Builder clear() {
       etag_ = "";
 
       internalGetMutableLabels().clear();
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
       return this;
     }
 
@@ -1170,11 +1082,6 @@ public com.google.cloud.aiplatform.v1beta1.Dataset buildPartial() {
       result.etag_ = etag_;
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
-      if (encryptionSpecBuilder_ == null) {
-        result.encryptionSpec_ = encryptionSpec_;
-      } else {
-        result.encryptionSpec_ = encryptionSpecBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -1250,9 +1157,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Dataset other) {
         onChanged();
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
-      if (other.hasEncryptionSpec()) {
-        mergeEncryptionSpec(other.getEncryptionSpec());
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2551,202 +2455,6 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        encryptionSpecBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     *
-     * @return Whether the encryptionSpec field is set.
-     */
-    public boolean hasEncryptionSpec() {
-      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     *
-     * @return The encryptionSpec.
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      } else {
-        return encryptionSpecBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     */
-    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        encryptionSpec_ = value;
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     */
-    public Builder setEncryptionSpec(
-        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = builderForValue.build();
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     */
-    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (encryptionSpec_ != null) {
-          encryptionSpec_ =
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          encryptionSpec_ = value;
-        }
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     */
-    public Builder clearEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-        onChanged();
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
-
-      onChanged();
-      return getEncryptionSpecFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
-        getEncryptionSpecOrBuilder() {
-      if (encryptionSpecBuilder_ != null) {
-        return encryptionSpecBuilder_.getMessageOrBuilder();
-      } else {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-     * and all sub-resources of this Dataset will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        getEncryptionSpecFieldBuilder() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpecBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
-                getEncryptionSpec(), getParentForChildren(), isClean());
-        encryptionSpec_ = null;
-      }
-      return encryptionSpecBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
index 54bee561d..f0196cae4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
@@ -351,42 +351,4 @@ public interface DatasetOrBuilder
    * <code>map&lt;string, string&gt; labels = 7;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
-
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-   * and all sub-resources of this Dataset will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  boolean hasEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-   * and all sub-resources of this Dataset will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
-   * and all sub-resources of this Dataset will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
index bc261f981..8958051f7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
@@ -59,40 +59,36 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n-google/cloud/aiplatform/v1beta1/datase"
           + "t.proto\022\037google.cloud.aiplatform.v1beta1"
           + "\032\037google/api/field_behavior.proto\032\031googl"
-          + "e/api/resource.proto\0325google/cloud/aipla"
-          + "tform/v1beta1/encryption_spec.proto\032(goo"
-          + "gle/cloud/aiplatform/v1beta1/io.proto\032\034g"
-          + "oogle/protobuf/struct.proto\032\037google/prot"
-          + "obuf/timestamp.proto\032\034google/api/annotat"
-          + "ions.proto\"\245\004\n\007Dataset\022\021\n\004name\030\001 \001(\tB\003\340A"
-          + "\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022 \n\023metadata"
-          + "_schema_uri\030\003 \001(\tB\003\340A\002\022-\n\010metadata\030\010 \001(\013"
-          + "2\026.google.protobuf.ValueB\003\340A\002\0224\n\013create_"
-          + "time\030\004 \001(\0132\032.google.protobuf.TimestampB\003"
-          + "\340A\003\0224\n\013update_time\030\005 \001(\0132\032.google.protob"
-          + "uf.TimestampB\003\340A\003\022\014\n\004etag\030\006 \001(\t\022D\n\006label"
-          + "s\030\007 \003(\01324.google.cloud.aiplatform.v1beta"
-          + "1.Dataset.LabelsEntry\022H\n\017encryption_spec"
-          + "\030\013 \001(\0132/.google.cloud.aiplatform.v1beta1"
-          + ".EncryptionSpec\032-\n\013LabelsEntry\022\013\n\003key\030\001 "
-          + "\001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:b\352A_\n!aiplatform."
-          + "googleapis.com/Dataset\022:projects/{projec"
-          + "t}/locations/{location}/datasets/{datase"
-          + "t}\"\226\002\n\020ImportDataConfig\022@\n\ngcs_source\030\001 "
-          + "\001(\0132*.google.cloud.aiplatform.v1beta1.Gc"
-          + "sSourceH\000\022_\n\020data_item_labels\030\002 \003(\0132E.go"
-          + "ogle.cloud.aiplatform.v1beta1.ImportData"
-          + "Config.DataItemLabelsEntry\022\036\n\021import_sch"
-          + "ema_uri\030\004 \001(\tB\003\340A\002\0325\n\023DataItemLabelsEntr"
-          + "y\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001B\010\n\006sou"
-          + "rce\"\211\001\n\020ExportDataConfig\022J\n\017gcs_destinat"
-          + "ion\030\001 \001(\0132/.google.cloud.aiplatform.v1be"
-          + "ta1.GcsDestinationH\000\022\032\n\022annotations_filt"
-          + "er\030\002 \001(\tB\r\n\013destinationB\200\001\n#com.google.c"
-          + "loud.aiplatform.v1beta1B\014DatasetProtoP\001Z"
-          + "Igoogle.golang.org/genproto/googleapis/c"
-          + "loud/aiplatform/v1beta1;aiplatformb\006prot"
-          + "o3"
+          + "e/api/resource.proto\032(google/cloud/aipla"
+          + "tform/v1beta1/io.proto\032\034google/protobuf/"
+          + "struct.proto\032\037google/protobuf/timestamp."
+          + "proto\032\034google/api/annotations.proto\"\333\003\n\007"
+          + "Dataset\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_na"
+          + "me\030\002 \001(\tB\003\340A\002\022 \n\023metadata_schema_uri\030\003 \001"
+          + "(\tB\003\340A\002\022-\n\010metadata\030\010 \001(\0132\026.google.proto"
+          + "buf.ValueB\003\340A\002\0224\n\013create_time\030\004 \001(\0132\032.go"
+          + "ogle.protobuf.TimestampB\003\340A\003\0224\n\013update_t"
+          + "ime\030\005 \001(\0132\032.google.protobuf.TimestampB\003\340"
+          + "A\003\022\014\n\004etag\030\006 \001(\t\022D\n\006labels\030\007 \003(\01324.googl"
+          + "e.cloud.aiplatform.v1beta1.Dataset.Label"
+          + "sEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005va"
+          + "lue\030\002 \001(\t:\0028\001:b\352A_\n!aiplatform.googleapi"
+          + "s.com/Dataset\022:projects/{project}/locati"
+          + "ons/{location}/datasets/{dataset}\"\226\002\n\020Im"
+          + "portDataConfig\022@\n\ngcs_source\030\001 \001(\0132*.goo"
+          + "gle.cloud.aiplatform.v1beta1.GcsSourceH\000"
+          + "\022_\n\020data_item_labels\030\002 \003(\0132E.google.clou"
+          + "d.aiplatform.v1beta1.ImportDataConfig.Da"
+          + "taItemLabelsEntry\022\036\n\021import_schema_uri\030\004"
+          + " \001(\tB\003\340A\002\0325\n\023DataItemLabelsEntry\022\013\n\003key\030"
+          + "\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001B\010\n\006source\"\211\001\n\020E"
+          + "xportDataConfig\022J\n\017gcs_destination\030\001 \001(\013"
+          + "2/.google.cloud.aiplatform.v1beta1.GcsDe"
+          + "stinationH\000\022\032\n\022annotations_filter\030\002 \001(\tB"
+          + "\r\n\013destinationB\200\001\n#com.google.cloud.aipl"
+          + "atform.v1beta1B\014DatasetProtoP\001ZIgoogle.g"
+          + "olang.org/genproto/googleapis/cloud/aipl"
+          + "atform/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -100,7 +96,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -120,7 +115,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Etag",
               "Labels",
-              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Dataset_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Dataset_descriptor.getNestedTypes().get(0);
@@ -164,7 +158,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
index de3249d36..b6068bca9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
@@ -715,7 +715,7 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
    * <pre>
    * If true, the container of the DeployedModel instances will send `stderr`
    * and `stdout` streams to Stackdriver Logging.
-   * Only supported for custom-trained Models and AutoML Tabular Models.
+   * Only supported for custom-trained Models and AutoML Tables Models.
    * </pre>
    *
    * <code>bool enable_container_logging = 12;</code>
@@ -2664,7 +2664,7 @@ public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tabular Models.
+     * Only supported for custom-trained Models and AutoML Tables Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
@@ -2681,7 +2681,7 @@ public boolean getEnableContainerLogging() {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tabular Models.
+     * Only supported for custom-trained Models and AutoML Tables Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
@@ -2701,7 +2701,7 @@ public Builder setEnableContainerLogging(boolean value) {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tabular Models.
+     * Only supported for custom-trained Models and AutoML Tables Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
index 0410f13c2..dc2507765 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
@@ -317,7 +317,7 @@ public interface DeployedModelOrBuilder
    * <pre>
    * If true, the container of the DeployedModel instances will send `stderr`
    * and `stdout` streams to Stackdriver Logging.
-   * Only supported for custom-trained Models and AutoML Tabular Models.
+   * Only supported for custom-trained Models and AutoML Tables Models.
    * </pre>
    *
    * <code>bool enable_container_logging = 12;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
index f1ca46c51..a7d7a5dc7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
@@ -122,7 +122,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-ssd").
+   * Type of the boot disk (default is "pd-standard").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -147,7 +147,7 @@ public java.lang.String getBootDiskType() {
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-ssd").
+   * Type of the boot disk (default is "pd-standard").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -523,7 +523,7 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-ssd").
+     * Type of the boot disk (default is "pd-standard").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -547,7 +547,7 @@ public java.lang.String getBootDiskType() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-ssd").
+     * Type of the boot disk (default is "pd-standard").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -571,7 +571,7 @@ public com.google.protobuf.ByteString getBootDiskTypeBytes() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-ssd").
+     * Type of the boot disk (default is "pd-standard").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -594,7 +594,7 @@ public Builder setBootDiskType(java.lang.String value) {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-ssd").
+     * Type of the boot disk (default is "pd-standard").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -613,7 +613,7 @@ public Builder clearBootDiskType() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-ssd").
+     * Type of the boot disk (default is "pd-standard").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
index 288fd2baf..54c1c5b64 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
@@ -27,7 +27,7 @@ public interface DiskSpecOrBuilder
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-ssd").
+   * Type of the boot disk (default is "pd-standard").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -41,7 +41,7 @@ public interface DiskSpecOrBuilder
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-ssd").
+   * Type of the boot disk (default is "pd-standard").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
deleted file mode 100644
index 388bb0d27..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
+++ /dev/null
@@ -1,666 +0,0 @@
-/*
- * Copyright 2020 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
-
-package com.google.cloud.aiplatform.v1beta1;
-
-/**
- *
- *
- * <pre>
- * Represents a customer-managed encryption key spec that can be applied to
- * a top-level resource.
- * </pre>
- *
- * Protobuf type {@code google.cloud.aiplatform.v1beta1.EncryptionSpec}
- */
-public final class EncryptionSpec extends com.google.protobuf.GeneratedMessageV3
-    implements
-    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.EncryptionSpec)
-    EncryptionSpecOrBuilder {
-  private static final long serialVersionUID = 0L;
-  // Use EncryptionSpec.newBuilder() to construct.
-  private EncryptionSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
-    super(builder);
-  }
-
-  private EncryptionSpec() {
-    kmsKeyName_ = "";
-  }
-
-  @java.lang.Override
-  @SuppressWarnings({"unused"})
-  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
-    return new EncryptionSpec();
-  }
-
-  @java.lang.Override
-  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
-    return this.unknownFields;
-  }
-
-  private EncryptionSpec(
-      com.google.protobuf.CodedInputStream input,
-      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-      throws com.google.protobuf.InvalidProtocolBufferException {
-    this();
-    if (extensionRegistry == null) {
-      throw new java.lang.NullPointerException();
-    }
-    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
-        com.google.protobuf.UnknownFieldSet.newBuilder();
-    try {
-      boolean done = false;
-      while (!done) {
-        int tag = input.readTag();
-        switch (tag) {
-          case 0:
-            done = true;
-            break;
-          case 10:
-            {
-              java.lang.String s = input.readStringRequireUtf8();
-
-              kmsKeyName_ = s;
-              break;
-            }
-          default:
-            {
-              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
-                done = true;
-              }
-              break;
-            }
-        }
-      }
-    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
-      throw e.setUnfinishedMessage(this);
-    } catch (java.io.IOException e) {
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-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
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-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
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-      throws com.google.protobuf.InvalidProtocolBufferException {
-    return PARSER.parseFrom(data, extensionRegistry);
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-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(byte[] data)
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-    return PARSER.parseFrom(data);
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-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
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-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
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-    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseDelimitedFrom(
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-      throws java.io.IOException {
-    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
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-    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
-  }
-
-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
-      com.google.protobuf.CodedInputStream input,
-      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-      throws java.io.IOException {
-    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
-        PARSER, input, extensionRegistry);
-  }
-
-  @java.lang.Override
-  public Builder newBuilderForType() {
-    return newBuilder();
-  }
-
-  public static Builder newBuilder() {
-    return DEFAULT_INSTANCE.toBuilder();
-  }
-
-  public static Builder newBuilder(com.google.cloud.aiplatform.v1beta1.EncryptionSpec prototype) {
-    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
-  }
-
-  @java.lang.Override
-  public Builder toBuilder() {
-    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
-  }
-
-  @java.lang.Override
-  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
-    Builder builder = new Builder(parent);
-    return builder;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Represents a customer-managed encryption key spec that can be applied to
-   * a top-level resource.
-   * </pre>
-   *
-   * Protobuf type {@code google.cloud.aiplatform.v1beta1.EncryptionSpec}
-   */
-  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
-      implements
-      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.EncryptionSpec)
-      com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder {
-    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
-      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
-          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
-    }
-
-    @java.lang.Override
-    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-        internalGetFieldAccessorTable() {
-      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
-          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable
-          .ensureFieldAccessorsInitialized(
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.class,
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder.class);
-    }
-
-    // Construct using com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder()
-    private Builder() {
-      maybeForceBuilderInitialization();
-    }
-
-    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
-      super(parent);
-      maybeForceBuilderInitialization();
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-
-    private void maybeForceBuilderInitialization() {
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-    @java.lang.Override
-    public Builder clear() {
-      super.clear();
-      kmsKeyName_ = "";
-
-      return this;
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-    @java.lang.Override
-    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
-      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
-          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
-    }
-
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstanceForType() {
-      return com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance();
-    }
-
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec build() {
-      com.google.cloud.aiplatform.v1beta1.EncryptionSpec result = buildPartial();
-      if (!result.isInitialized()) {
-        throw newUninitializedMessageException(result);
-      }
-      return result;
-    }
-
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec buildPartial() {
-      com.google.cloud.aiplatform.v1beta1.EncryptionSpec result =
-          new com.google.cloud.aiplatform.v1beta1.EncryptionSpec(this);
-      result.kmsKeyName_ = kmsKeyName_;
-      onBuilt();
-      return result;
-    }
-
-    @java.lang.Override
-    public Builder clone() {
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-    }
-
-    @java.lang.Override
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-        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
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-    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
-      return super.clearField(field);
-    }
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-    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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-        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
-      return super.setRepeatedField(field, index, value);
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-    public Builder addRepeatedField(
-        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
-      return super.addRepeatedField(field, value);
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-    @java.lang.Override
-    public Builder mergeFrom(com.google.protobuf.Message other) {
-      if (other instanceof com.google.cloud.aiplatform.v1beta1.EncryptionSpec) {
-        return mergeFrom((com.google.cloud.aiplatform.v1beta1.EncryptionSpec) other);
-      } else {
-        super.mergeFrom(other);
-        return this;
-      }
-    }
-
-    public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.EncryptionSpec other) {
-      if (other == com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance())
-        return this;
-      if (!other.getKmsKeyName().isEmpty()) {
-        kmsKeyName_ = other.kmsKeyName_;
-        onChanged();
-      }
-      this.mergeUnknownFields(other.unknownFields);
-      onChanged();
-      return this;
-    }
-
-    @java.lang.Override
-    public final boolean isInitialized() {
-      return true;
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-
-    @java.lang.Override
-    public Builder mergeFrom(
-        com.google.protobuf.CodedInputStream input,
-        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-        throws java.io.IOException {
-      com.google.cloud.aiplatform.v1beta1.EncryptionSpec parsedMessage = null;
-      try {
-        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
-      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
-        parsedMessage =
-            (com.google.cloud.aiplatform.v1beta1.EncryptionSpec) e.getUnfinishedMessage();
-        throw e.unwrapIOException();
-      } finally {
-        if (parsedMessage != null) {
-          mergeFrom(parsedMessage);
-        }
-      }
-      return this;
-    }
-
-    private java.lang.Object kmsKeyName_ = "";
-    /**
-     *
-     *
-     * <pre>
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
-     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
-     * The key needs to be in the same region as where the compute resource is
-     * created.
-     * </pre>
-     *
-     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
-     *
-     * @return The kmsKeyName.
-     */
-    public java.lang.String getKmsKeyName() {
-      java.lang.Object ref = kmsKeyName_;
-      if (!(ref instanceof java.lang.String)) {
-        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
-        java.lang.String s = bs.toStringUtf8();
-        kmsKeyName_ = s;
-        return s;
-      } else {
-        return (java.lang.String) ref;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
-     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
-     * The key needs to be in the same region as where the compute resource is
-     * created.
-     * </pre>
-     *
-     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
-     *
-     * @return The bytes for kmsKeyName.
-     */
-    public com.google.protobuf.ByteString getKmsKeyNameBytes() {
-      java.lang.Object ref = kmsKeyName_;
-      if (ref instanceof String) {
-        com.google.protobuf.ByteString b =
-            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
-        kmsKeyName_ = b;
-        return b;
-      } else {
-        return (com.google.protobuf.ByteString) ref;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
-     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
-     * The key needs to be in the same region as where the compute resource is
-     * created.
-     * </pre>
-     *
-     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
-     *
-     * @param value The kmsKeyName to set.
-     * @return This builder for chaining.
-     */
-    public Builder setKmsKeyName(java.lang.String value) {
-      if (value == null) {
-        throw new NullPointerException();
-      }
-
-      kmsKeyName_ = value;
-      onChanged();
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
-     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
-     * The key needs to be in the same region as where the compute resource is
-     * created.
-     * </pre>
-     *
-     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
-     *
-     * @return This builder for chaining.
-     */
-    public Builder clearKmsKeyName() {
-
-      kmsKeyName_ = getDefaultInstance().getKmsKeyName();
-      onChanged();
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Required. The Cloud KMS resource identifier of the customer managed encryption key
-     * used to protect a resource. Has the form:
-     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
-     * The key needs to be in the same region as where the compute resource is
-     * created.
-     * </pre>
-     *
-     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
-     *
-     * @param value The bytes for kmsKeyName to set.
-     * @return This builder for chaining.
-     */
-    public Builder setKmsKeyNameBytes(com.google.protobuf.ByteString value) {
-      if (value == null) {
-        throw new NullPointerException();
-      }
-      checkByteStringIsUtf8(value);
-
-      kmsKeyName_ = value;
-      onChanged();
-      return this;
-    }
-
-    @java.lang.Override
-    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
-      return super.setUnknownFields(unknownFields);
-    }
-
-    @java.lang.Override
-    public final Builder mergeUnknownFields(
-        final com.google.protobuf.UnknownFieldSet unknownFields) {
-      return super.mergeUnknownFields(unknownFields);
-    }
-
-    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.EncryptionSpec)
-  }
-
-  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.EncryptionSpec)
-  private static final com.google.cloud.aiplatform.v1beta1.EncryptionSpec DEFAULT_INSTANCE;
-
-  static {
-    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.EncryptionSpec();
-  }
-
-  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstance() {
-    return DEFAULT_INSTANCE;
-  }
-
-  private static final com.google.protobuf.Parser<EncryptionSpec> PARSER =
-      new com.google.protobuf.AbstractParser<EncryptionSpec>() {
-        @java.lang.Override
-        public EncryptionSpec parsePartialFrom(
-            com.google.protobuf.CodedInputStream input,
-            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws com.google.protobuf.InvalidProtocolBufferException {
-          return new EncryptionSpec(input, extensionRegistry);
-        }
-      };
-
-  public static com.google.protobuf.Parser<EncryptionSpec> parser() {
-    return PARSER;
-  }
-
-  @java.lang.Override
-  public com.google.protobuf.Parser<EncryptionSpec> getParserForType() {
-    return PARSER;
-  }
-
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstanceForType() {
-    return DEFAULT_INSTANCE;
-  }
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
deleted file mode 100644
index b5ce0eb31..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
+++ /dev/null
@@ -1,58 +0,0 @@
-/*
- * Copyright 2020 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
-
-package com.google.cloud.aiplatform.v1beta1;
-
-public interface EncryptionSpecOrBuilder
-    extends
-    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.EncryptionSpec)
-    com.google.protobuf.MessageOrBuilder {
-
-  /**
-   *
-   *
-   * <pre>
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
-   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
-   * The key needs to be in the same region as where the compute resource is
-   * created.
-   * </pre>
-   *
-   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
-   *
-   * @return The kmsKeyName.
-   */
-  java.lang.String getKmsKeyName();
-  /**
-   *
-   *
-   * <pre>
-   * Required. The Cloud KMS resource identifier of the customer managed encryption key
-   * used to protect a resource. Has the form:
-   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
-   * The key needs to be in the same region as where the compute resource is
-   * created.
-   * </pre>
-   *
-   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
-   *
-   * @return The bytes for kmsKeyName.
-   */
-  com.google.protobuf.ByteString getKmsKeyNameBytes();
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java
deleted file mode 100644
index 097eddefb..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java
+++ /dev/null
@@ -1,78 +0,0 @@
-/*
- * Copyright 2020 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
-
-package com.google.cloud.aiplatform.v1beta1;
-
-public final class EncryptionSpecProto {
-  private EncryptionSpecProto() {}
-
-  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
-
-  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
-    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
-  }
-
-  static final com.google.protobuf.Descriptors.Descriptor
-      internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
-  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable;
-
-  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
-    return descriptor;
-  }
-
-  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
-
-  static {
-    java.lang.String[] descriptorData = {
-      "\n5google/cloud/aiplatform/v1beta1/encryp"
-          + "tion_spec.proto\022\037google.cloud.aiplatform"
-          + ".v1beta1\032\037google/api/field_behavior.prot"
-          + "o\032\034google/api/annotations.proto\"+\n\016Encry"
-          + "ptionSpec\022\031\n\014kms_key_name\030\001 \001(\tB\003\340A\002B\207\001\n"
-          + "#com.google.cloud.aiplatform.v1beta1B\023En"
-          + "cryptionSpecProtoP\001ZIgoogle.golang.org/g"
-          + "enproto/googleapis/cloud/aiplatform/v1be"
-          + "ta1;aiplatformb\006proto3"
-    };
-    descriptor =
-        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
-            descriptorData,
-            new com.google.protobuf.Descriptors.FileDescriptor[] {
-              com.google.api.FieldBehaviorProto.getDescriptor(),
-              com.google.api.AnnotationsProto.getDescriptor(),
-            });
-    internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor =
-        getDescriptor().getMessageTypes().get(0);
-    internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable =
-        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
-            internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor,
-            new java.lang.String[] {
-              "KmsKeyName",
-            });
-    com.google.protobuf.ExtensionRegistry registry =
-        com.google.protobuf.ExtensionRegistry.newInstance();
-    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
-    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
-        descriptor, registry);
-    com.google.api.FieldBehaviorProto.getDescriptor();
-    com.google.api.AnnotationsProto.getDescriptor();
-  }
-
-  // @@protoc_insertion_point(outer_class_scope)
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
index 9ee75e4a9..157c5ff3c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
@@ -173,23 +173,6 @@ private Endpoint(
                 updateTime_ = subBuilder.buildPartial();
               }
 
-              break;
-            }
-          case 82:
-            {
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
-              if (encryptionSpec_ != null) {
-                subBuilder = encryptionSpec_.toBuilder();
-              }
-              encryptionSpec_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(encryptionSpec_);
-                encryptionSpec_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           default:
@@ -866,60 +849,6 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
     return getUpdateTime();
   }
 
-  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 10;
-  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for an Endpoint. If set, this
-   * Endpoint and all sub-resources of this Endpoint will be secured by
-   * this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  @java.lang.Override
-  public boolean hasEncryptionSpec() {
-    return encryptionSpec_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for an Endpoint. If set, this
-   * Endpoint and all sub-resources of this Endpoint will be secured by
-   * this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-    return encryptionSpec_ == null
-        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-        : encryptionSpec_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for an Endpoint. If set, this
-   * Endpoint and all sub-resources of this Endpoint will be secured by
-   * this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
-    return getEncryptionSpec();
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -959,9 +888,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (updateTime_ != null) {
       output.writeMessage(9, getUpdateTime());
     }
-    if (encryptionSpec_ != null) {
-      output.writeMessage(10, getEncryptionSpec());
-    }
     unknownFields.writeTo(output);
   }
 
@@ -1012,9 +938,6 @@ public int getSerializedSize() {
     if (updateTime_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getUpdateTime());
     }
-    if (encryptionSpec_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(10, getEncryptionSpec());
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1046,10 +969,6 @@ public boolean equals(final java.lang.Object obj) {
     if (hasUpdateTime()) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
-    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
-    if (hasEncryptionSpec()) {
-      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
-    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1089,10 +1008,6 @@ public int hashCode() {
       hash = (37 * hash) + UPDATE_TIME_FIELD_NUMBER;
       hash = (53 * hash) + getUpdateTime().hashCode();
     }
-    if (hasEncryptionSpec()) {
-      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
-      hash = (53 * hash) + getEncryptionSpec().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1293,12 +1208,6 @@ public Builder clear() {
         updateTime_ = null;
         updateTimeBuilder_ = null;
       }
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
       return this;
     }
 
@@ -1354,11 +1263,6 @@ public com.google.cloud.aiplatform.v1beta1.Endpoint buildPartial() {
       } else {
         result.updateTime_ = updateTimeBuilder_.build();
       }
-      if (encryptionSpecBuilder_ == null) {
-        result.encryptionSpec_ = encryptionSpec_;
-      } else {
-        result.encryptionSpec_ = encryptionSpecBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -1459,9 +1363,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Endpoint other) {
       if (other.hasUpdateTime()) {
         mergeUpdateTime(other.getUpdateTime());
       }
-      if (other.hasEncryptionSpec()) {
-        mergeEncryptionSpec(other.getEncryptionSpec());
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -3145,211 +3046,6 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
       return updateTimeBuilder_;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        encryptionSpecBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     *
-     * @return Whether the encryptionSpec field is set.
-     */
-    public boolean hasEncryptionSpec() {
-      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     *
-     * @return The encryptionSpec.
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      } else {
-        return encryptionSpecBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     */
-    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        encryptionSpec_ = value;
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     */
-    public Builder setEncryptionSpec(
-        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = builderForValue.build();
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     */
-    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (encryptionSpec_ != null) {
-          encryptionSpec_ =
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          encryptionSpec_ = value;
-        }
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     */
-    public Builder clearEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-        onChanged();
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
-
-      onChanged();
-      return getEncryptionSpecFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
-        getEncryptionSpecOrBuilder() {
-      if (encryptionSpecBuilder_ != null) {
-        return encryptionSpecBuilder_.getMessageOrBuilder();
-      } else {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for an Endpoint. If set, this
-     * Endpoint and all sub-resources of this Endpoint will be secured by
-     * this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        getEncryptionSpecFieldBuilder() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpecBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
-                getEncryptionSpec(), getParentForChildren(), isClean());
-        encryptionSpec_ = null;
-      }
-      return encryptionSpecBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
index 83d69a594..d23033be3 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
@@ -429,45 +429,4 @@ public interface EndpointOrBuilder
    * </code>
    */
   com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
-
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for an Endpoint. If set, this
-   * Endpoint and all sub-resources of this Endpoint will be secured by
-   * this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  boolean hasEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for an Endpoint. If set, this
-   * Endpoint and all sub-resources of this Endpoint will be secured by
-   * this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for an Endpoint. If set, this
-   * Endpoint and all sub-resources of this Endpoint will be secured by
-   * this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
index 47c9a8e84..2b47ee4c4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
@@ -55,47 +55,44 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n.google/cloud/aiplatform/v1beta1/endpoi"
           + "nt.proto\022\037google.cloud.aiplatform.v1beta"
           + "1\032\037google/api/field_behavior.proto\032\031goog"
-          + "le/api/resource.proto\0325google/cloud/aipl"
-          + "atform/v1beta1/encryption_spec.proto\0321go"
-          + "ogle/cloud/aiplatform/v1beta1/explanatio"
-          + "n.proto\0327google/cloud/aiplatform/v1beta1"
-          + "/machine_resources.proto\032\037google/protobu"
-          + "f/timestamp.proto\032\034google/api/annotation"
-          + "s.proto\"\305\005\n\010Endpoint\022\021\n\004name\030\001 \001(\tB\003\340A\003\022"
-          + "\031\n\014display_name\030\002 \001(\tB\003\340A\002\022\023\n\013descriptio"
-          + "n\030\003 \001(\t\022L\n\017deployed_models\030\004 \003(\0132..googl"
-          + "e.cloud.aiplatform.v1beta1.DeployedModel"
-          + "B\003\340A\003\022R\n\rtraffic_split\030\005 \003(\0132;.google.cl"
-          + "oud.aiplatform.v1beta1.Endpoint.TrafficS"
-          + "plitEntry\022\014\n\004etag\030\006 \001(\t\022E\n\006labels\030\007 \003(\0132"
-          + "5.google.cloud.aiplatform.v1beta1.Endpoi"
-          + "nt.LabelsEntry\0224\n\013create_time\030\010 \001(\0132\032.go"
-          + "ogle.protobuf.TimestampB\003\340A\003\0224\n\013update_t"
-          + "ime\030\t \001(\0132\032.google.protobuf.TimestampB\003\340"
-          + "A\003\022H\n\017encryption_spec\030\n \001(\0132/.google.clo"
-          + "ud.aiplatform.v1beta1.EncryptionSpec\0323\n\021"
-          + "TrafficSplitEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030"
-          + "\002 \001(\005:\0028\001\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n"
-          + "\005value\030\002 \001(\t:\0028\001:e\352Ab\n\"aiplatform.google"
-          + "apis.com/Endpoint\022<projects/{project}/lo"
-          + "cations/{location}/endpoints/{endpoint}\""
-          + "\212\004\n\rDeployedModel\022R\n\023dedicated_resources"
-          + "\030\007 \001(\01323.google.cloud.aiplatform.v1beta1"
-          + ".DedicatedResourcesH\000\022R\n\023automatic_resou"
-          + "rces\030\010 \001(\01323.google.cloud.aiplatform.v1b"
-          + "eta1.AutomaticResourcesH\000\022\017\n\002id\030\001 \001(\tB\003\340"
-          + "A\003\0226\n\005model\030\002 \001(\tB\'\340A\002\372A!\n\037aiplatform.go"
-          + "ogleapis.com/Model\022\024\n\014display_name\030\003 \001(\t"
-          + "\0224\n\013create_time\030\006 \001(\0132\032.google.protobuf."
-          + "TimestampB\003\340A\003\022J\n\020explanation_spec\030\t \001(\013"
-          + "20.google.cloud.aiplatform.v1beta1.Expla"
-          + "nationSpec\022\027\n\017service_account\030\013 \001(\t\022 \n\030e"
-          + "nable_container_logging\030\014 \001(\010\022\035\n\025enable_"
-          + "access_logging\030\r \001(\010B\026\n\024prediction_resou"
-          + "rcesB\201\001\n#com.google.cloud.aiplatform.v1b"
-          + "eta1B\rEndpointProtoP\001ZIgoogle.golang.org"
-          + "/genproto/googleapis/cloud/aiplatform/v1"
-          + "beta1;aiplatformb\006proto3"
+          + "le/api/resource.proto\0321google/cloud/aipl"
+          + "atform/v1beta1/explanation.proto\0327google"
+          + "/cloud/aiplatform/v1beta1/machine_resour"
+          + "ces.proto\032\037google/protobuf/timestamp.pro"
+          + "to\032\034google/api/annotations.proto\"\373\004\n\010End"
+          + "point\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name"
+          + "\030\002 \001(\tB\003\340A\002\022\023\n\013description\030\003 \001(\t\022L\n\017depl"
+          + "oyed_models\030\004 \003(\0132..google.cloud.aiplatf"
+          + "orm.v1beta1.DeployedModelB\003\340A\003\022R\n\rtraffi"
+          + "c_split\030\005 \003(\0132;.google.cloud.aiplatform."
+          + "v1beta1.Endpoint.TrafficSplitEntry\022\014\n\004et"
+          + "ag\030\006 \001(\t\022E\n\006labels\030\007 \003(\01325.google.cloud."
+          + "aiplatform.v1beta1.Endpoint.LabelsEntry\022"
+          + "4\n\013create_time\030\010 \001(\0132\032.google.protobuf.T"
+          + "imestampB\003\340A\003\0224\n\013update_time\030\t \001(\0132\032.goo"
+          + "gle.protobuf.TimestampB\003\340A\003\0323\n\021TrafficSp"
+          + "litEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\005:\0028\001"
+          + "\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 "
+          + "\001(\t:\0028\001:e\352Ab\n\"aiplatform.googleapis.com/"
+          + "Endpoint\022<projects/{project}/locations/{"
+          + "location}/endpoints/{endpoint}\"\212\004\n\rDeplo"
+          + "yedModel\022R\n\023dedicated_resources\030\007 \001(\01323."
+          + "google.cloud.aiplatform.v1beta1.Dedicate"
+          + "dResourcesH\000\022R\n\023automatic_resources\030\010 \001("
+          + "\01323.google.cloud.aiplatform.v1beta1.Auto"
+          + "maticResourcesH\000\022\017\n\002id\030\001 \001(\tB\003\340A\003\0226\n\005mod"
+          + "el\030\002 \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis."
+          + "com/Model\022\024\n\014display_name\030\003 \001(\t\0224\n\013creat"
+          + "e_time\030\006 \001(\0132\032.google.protobuf.Timestamp"
+          + "B\003\340A\003\022J\n\020explanation_spec\030\t \001(\01320.google"
+          + ".cloud.aiplatform.v1beta1.ExplanationSpe"
+          + "c\022\027\n\017service_account\030\013 \001(\t\022 \n\030enable_con"
+          + "tainer_logging\030\014 \001(\010\022\035\n\025enable_access_lo"
+          + "gging\030\r \001(\010B\026\n\024prediction_resourcesB\201\001\n#"
+          + "com.google.cloud.aiplatform.v1beta1B\rEnd"
+          + "pointProtoP\001ZIgoogle.golang.org/genproto"
+          + "/googleapis/cloud/aiplatform/v1beta1;aip"
+          + "latformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -103,7 +100,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -124,7 +120,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Labels",
               "CreateTime",
               "UpdateTime",
-              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Endpoint_TrafficSplitEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Endpoint_descriptor.getNestedTypes().get(0);
@@ -169,7 +164,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
index 1ace460eb..a9b24398d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
@@ -174,7 +174,7 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * <pre>
-   * Required. Variables that reference a $(VAR_NAME) are expanded
+   * Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -183,7 +183,7 @@ public com.google.protobuf.ByteString getNameBytes() {
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   * <code>string value = 2;</code>
    *
    * @return The value.
    */
@@ -203,7 +203,7 @@ public java.lang.String getValue() {
    *
    *
    * <pre>
-   * Required. Variables that reference a $(VAR_NAME) are expanded
+   * Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -212,7 +212,7 @@ public java.lang.String getValue() {
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   * <code>string value = 2;</code>
    *
    * @return The bytes for value.
    */
@@ -672,7 +672,7 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -681,7 +681,7 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>string value = 2;</code>
      *
      * @return The value.
      */
@@ -700,7 +700,7 @@ public java.lang.String getValue() {
      *
      *
      * <pre>
-     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -709,7 +709,7 @@ public java.lang.String getValue() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>string value = 2;</code>
      *
      * @return The bytes for value.
      */
@@ -728,7 +728,7 @@ public com.google.protobuf.ByteString getValueBytes() {
      *
      *
      * <pre>
-     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -737,7 +737,7 @@ public com.google.protobuf.ByteString getValueBytes() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>string value = 2;</code>
      *
      * @param value The value to set.
      * @return This builder for chaining.
@@ -755,7 +755,7 @@ public Builder setValue(java.lang.String value) {
      *
      *
      * <pre>
-     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -764,7 +764,7 @@ public Builder setValue(java.lang.String value) {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>string value = 2;</code>
      *
      * @return This builder for chaining.
      */
@@ -778,7 +778,7 @@ public Builder clearValue() {
      *
      *
      * <pre>
-     * Required. Variables that reference a $(VAR_NAME) are expanded
+     * Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -787,7 +787,7 @@ public Builder clearValue() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>string value = 2;</code>
      *
      * @param value The bytes for value to set.
      * @return This builder for chaining.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
index 2317b8c6d..e160feabf 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
@@ -52,7 +52,7 @@ public interface EnvVarOrBuilder
    *
    *
    * <pre>
-   * Required. Variables that reference a $(VAR_NAME) are expanded
+   * Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -61,7 +61,7 @@ public interface EnvVarOrBuilder
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   * <code>string value = 2;</code>
    *
    * @return The value.
    */
@@ -70,7 +70,7 @@ public interface EnvVarOrBuilder
    *
    *
    * <pre>
-   * Required. Variables that reference a $(VAR_NAME) are expanded
+   * Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -79,7 +79,7 @@ public interface EnvVarOrBuilder
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   * <code>string value = 2;</code>
    *
    * @return The bytes for value.
    */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
index 9a6720956..ca406038d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
@@ -43,12 +43,12 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n-google/cloud/aiplatform/v1beta1/env_va"
           + "r.proto\022\037google.cloud.aiplatform.v1beta1"
           + "\032\037google/api/field_behavior.proto\032\034googl"
-          + "e/api/annotations.proto\"/\n\006EnvVar\022\021\n\004nam"
-          + "e\030\001 \001(\tB\003\340A\002\022\022\n\005value\030\002 \001(\tB\003\340A\002B\177\n#com."
-          + "google.cloud.aiplatform.v1beta1B\013EnvVarP"
-          + "rotoP\001ZIgoogle.golang.org/genproto/googl"
-          + "eapis/cloud/aiplatform/v1beta1;aiplatfor"
-          + "mb\006proto3"
+          + "e/api/annotations.proto\"*\n\006EnvVar\022\021\n\004nam"
+          + "e\030\001 \001(\tB\003\340A\002\022\r\n\005value\030\002 \001(\tB\177\n#com.googl"
+          + "e.cloud.aiplatform.v1beta1B\013EnvVarProtoP"
+          + "\001ZIgoogle.golang.org/genproto/googleapis"
+          + "/cloud/aiplatform/v1beta1;aiplatformb\006pr"
+          + "oto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
index f0985dbd5..4c06cea68 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
@@ -110,23 +110,6 @@ private ExplainRequest(
                 parameters_ = subBuilder.buildPartial();
               }
 
-              break;
-            }
-          case 42:
-            {
-              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder subBuilder = null;
-              if (explanationSpecOverride_ != null) {
-                subBuilder = explanationSpecOverride_.toBuilder();
-              }
-              explanationSpecOverride_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(explanationSpecOverride_);
-                explanationSpecOverride_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           default:
@@ -391,79 +374,6 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
     return getParameters();
   }
 
-  public static final int EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER = 5;
-  private com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanationSpecOverride_;
-  /**
-   *
-   *
-   * <pre>
-   * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
-   *  - Explaining top-5 predictions results as opposed to top-1;
-   *  - Increasing path count or step count of the attribution methods to reduce
-   *    approximate errors;
-   *  - Using different baselines for explaining the prediction results.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-   * </code>
-   *
-   * @return Whether the explanationSpecOverride field is set.
-   */
-  @java.lang.Override
-  public boolean hasExplanationSpecOverride() {
-    return explanationSpecOverride_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
-   *  - Explaining top-5 predictions results as opposed to top-1;
-   *  - Increasing path count or step count of the attribution methods to reduce
-   *    approximate errors;
-   *  - Using different baselines for explaining the prediction results.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-   * </code>
-   *
-   * @return The explanationSpecOverride.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getExplanationSpecOverride() {
-    return explanationSpecOverride_ == null
-        ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
-        : explanationSpecOverride_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
-   *  - Explaining top-5 predictions results as opposed to top-1;
-   *  - Increasing path count or step count of the attribution methods to reduce
-   *    approximate errors;
-   *  - Using different baselines for explaining the prediction results.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-   * </code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
-      getExplanationSpecOverrideOrBuilder() {
-    return getExplanationSpecOverride();
-  }
-
   public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER = 3;
   private volatile java.lang.Object deployedModelId_;
   /**
@@ -541,9 +451,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (parameters_ != null) {
       output.writeMessage(4, getParameters());
     }
-    if (explanationSpecOverride_ != null) {
-      output.writeMessage(5, getExplanationSpecOverride());
-    }
     unknownFields.writeTo(output);
   }
 
@@ -565,10 +472,6 @@ public int getSerializedSize() {
     if (parameters_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getParameters());
     }
-    if (explanationSpecOverride_ != null) {
-      size +=
-          com.google.protobuf.CodedOutputStream.computeMessageSize(5, getExplanationSpecOverride());
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -591,10 +494,6 @@ public boolean equals(final java.lang.Object obj) {
     if (hasParameters()) {
       if (!getParameters().equals(other.getParameters())) return false;
     }
-    if (hasExplanationSpecOverride() != other.hasExplanationSpecOverride()) return false;
-    if (hasExplanationSpecOverride()) {
-      if (!getExplanationSpecOverride().equals(other.getExplanationSpecOverride())) return false;
-    }
     if (!getDeployedModelId().equals(other.getDeployedModelId())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
@@ -617,10 +516,6 @@ public int hashCode() {
       hash = (37 * hash) + PARAMETERS_FIELD_NUMBER;
       hash = (53 * hash) + getParameters().hashCode();
     }
-    if (hasExplanationSpecOverride()) {
-      hash = (37 * hash) + EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER;
-      hash = (53 * hash) + getExplanationSpecOverride().hashCode();
-    }
     hash = (37 * hash) + DEPLOYED_MODEL_ID_FIELD_NUMBER;
     hash = (53 * hash) + getDeployedModelId().hashCode();
     hash = (29 * hash) + unknownFields.hashCode();
@@ -784,12 +679,6 @@ public Builder clear() {
         parameters_ = null;
         parametersBuilder_ = null;
       }
-      if (explanationSpecOverrideBuilder_ == null) {
-        explanationSpecOverride_ = null;
-      } else {
-        explanationSpecOverride_ = null;
-        explanationSpecOverrideBuilder_ = null;
-      }
       deployedModelId_ = "";
 
       return this;
@@ -835,11 +724,6 @@ public com.google.cloud.aiplatform.v1beta1.ExplainRequest buildPartial() {
       } else {
         result.parameters_ = parametersBuilder_.build();
       }
-      if (explanationSpecOverrideBuilder_ == null) {
-        result.explanationSpecOverride_ = explanationSpecOverride_;
-      } else {
-        result.explanationSpecOverride_ = explanationSpecOverrideBuilder_.build();
-      }
       result.deployedModelId_ = deployedModelId_;
       onBuilt();
       return result;
@@ -925,9 +809,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.ExplainRequest othe
       if (other.hasParameters()) {
         mergeParameters(other.getParameters());
       }
-      if (other.hasExplanationSpecOverride()) {
-        mergeExplanationSpecOverride(other.getExplanationSpecOverride());
-      }
       if (!other.getDeployedModelId().isEmpty()) {
         deployedModelId_ = other.deployedModelId_;
         onChanged();
@@ -1820,270 +1701,6 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
       return parametersBuilder_;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanationSpecOverride_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
-            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
-            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>
-        explanationSpecOverrideBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     *
-     * @return Whether the explanationSpecOverride field is set.
-     */
-    public boolean hasExplanationSpecOverride() {
-      return explanationSpecOverrideBuilder_ != null || explanationSpecOverride_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     *
-     * @return The explanationSpecOverride.
-     */
-    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride
-        getExplanationSpecOverride() {
-      if (explanationSpecOverrideBuilder_ == null) {
-        return explanationSpecOverride_ == null
-            ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
-            : explanationSpecOverride_;
-      } else {
-        return explanationSpecOverrideBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     */
-    public Builder setExplanationSpecOverride(
-        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride value) {
-      if (explanationSpecOverrideBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        explanationSpecOverride_ = value;
-        onChanged();
-      } else {
-        explanationSpecOverrideBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     */
-    public Builder setExplanationSpecOverride(
-        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder builderForValue) {
-      if (explanationSpecOverrideBuilder_ == null) {
-        explanationSpecOverride_ = builderForValue.build();
-        onChanged();
-      } else {
-        explanationSpecOverrideBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     */
-    public Builder mergeExplanationSpecOverride(
-        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride value) {
-      if (explanationSpecOverrideBuilder_ == null) {
-        if (explanationSpecOverride_ != null) {
-          explanationSpecOverride_ =
-              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.newBuilder(
-                      explanationSpecOverride_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          explanationSpecOverride_ = value;
-        }
-        onChanged();
-      } else {
-        explanationSpecOverrideBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     */
-    public Builder clearExplanationSpecOverride() {
-      if (explanationSpecOverrideBuilder_ == null) {
-        explanationSpecOverride_ = null;
-        onChanged();
-      } else {
-        explanationSpecOverride_ = null;
-        explanationSpecOverrideBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder
-        getExplanationSpecOverrideBuilder() {
-
-      onChanged();
-      return getExplanationSpecOverrideFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
-        getExplanationSpecOverrideOrBuilder() {
-      if (explanationSpecOverrideBuilder_ != null) {
-        return explanationSpecOverrideBuilder_.getMessageOrBuilder();
-      } else {
-        return explanationSpecOverride_ == null
-            ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
-            : explanationSpecOverride_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * If specified, overrides the
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-     * Can be used for explaining prediction results with different
-     * configurations, such as:
-     *  - Explaining top-5 predictions results as opposed to top-1;
-     *  - Increasing path count or step count of the attribution methods to reduce
-     *    approximate errors;
-     *  - Using different baselines for explaining the prediction results.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-     * </code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
-            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
-            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>
-        getExplanationSpecOverrideFieldBuilder() {
-      if (explanationSpecOverrideBuilder_ == null) {
-        explanationSpecOverrideBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
-                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
-                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>(
-                getExplanationSpecOverride(), getParentForChildren(), isClean());
-        explanationSpecOverride_ = null;
-      }
-      return explanationSpecOverrideBuilder_;
-    }
-
     private java.lang.Object deployedModelId_ = "";
     /**
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
index 05f8740af..49654405e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
@@ -196,66 +196,6 @@ public interface ExplainRequestOrBuilder
    */
   com.google.protobuf.ValueOrBuilder getParametersOrBuilder();
 
-  /**
-   *
-   *
-   * <pre>
-   * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
-   *  - Explaining top-5 predictions results as opposed to top-1;
-   *  - Increasing path count or step count of the attribution methods to reduce
-   *    approximate errors;
-   *  - Using different baselines for explaining the prediction results.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-   * </code>
-   *
-   * @return Whether the explanationSpecOverride field is set.
-   */
-  boolean hasExplanationSpecOverride();
-  /**
-   *
-   *
-   * <pre>
-   * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
-   *  - Explaining top-5 predictions results as opposed to top-1;
-   *  - Increasing path count or step count of the attribution methods to reduce
-   *    approximate errors;
-   *  - Using different baselines for explaining the prediction results.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-   * </code>
-   *
-   * @return The explanationSpecOverride.
-   */
-  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getExplanationSpecOverride();
-  /**
-   *
-   *
-   * <pre>
-   * If specified, overrides the
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-   * Can be used for explaining prediction results with different
-   * configurations, such as:
-   *  - Explaining top-5 predictions results as opposed to top-1;
-   *  - Increasing path count or step count of the attribution methods to reduce
-   *    approximate errors;
-   *  - Using different baselines for explaining the prediction results.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
-      getExplanationSpecOverrideOrBuilder();
-
   /**
    *
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
index 511c22b5e..fa4e9660d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
@@ -10318,8 +10318,8 @@ public int getInputsCount() {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10354,8 +10354,8 @@ public boolean containsInputs(java.lang.String key) {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10381,8 +10381,8 @@ public boolean containsInputs(java.lang.String key) {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10414,8 +10414,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata get
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11093,8 +11093,8 @@ public int getInputsCount() {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+     * name of the feature . Once specified, [
+     * featureAttributions][Attribution.feature_attributions] will be keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11129,8 +11129,8 @@ public boolean containsInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+     * name of the feature . Once specified, [
+     * featureAttributions][Attribution.feature_attributions] will be keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11156,8 +11156,8 @@ public boolean containsInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+     * name of the feature . Once specified, [
+     * featureAttributions][Attribution.feature_attributions] will be keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11190,8 +11190,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata get
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+     * name of the feature . Once specified, [
+     * featureAttributions][Attribution.feature_attributions] will be keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11231,8 +11231,8 @@ public Builder clearInputs() {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+     * name of the feature . Once specified, [
+     * featureAttributions][Attribution.feature_attributions] will be keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11266,8 +11266,8 @@ public Builder removeInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+     * name of the feature . Once specified, [
+     * featureAttributions][Attribution.feature_attributions] will be keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11299,8 +11299,8 @@ public Builder putInputs(
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature. Once specified,
-     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+     * name of the feature . Once specified, [
+     * featureAttributions][Attribution.feature_attributions] will be keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
index e543a0496..fc2ca5493 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
@@ -33,8 +33,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -55,8 +55,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -82,8 +82,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -106,8 +106,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -130,8 +130,8 @@ com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata getInputsO
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature. Once specified,
-   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+   * name of the feature . Once specified, [
+   * featureAttributions][Attribution.feature_attributions] will be keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
deleted file mode 100644
index e1ed5ec8d..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
+++ /dev/null
@@ -1,2094 +0,0 @@
-/*
- * Copyright 2020 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/explanation.proto
-
-package com.google.cloud.aiplatform.v1beta1;
-
-/**
- *
- *
- * <pre>
- * The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
- * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
- * </pre>
- *
- * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride}
- */
-public final class ExplanationMetadataOverride extends com.google.protobuf.GeneratedMessageV3
-    implements
-    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
-    ExplanationMetadataOverrideOrBuilder {
-  private static final long serialVersionUID = 0L;
-  // Use ExplanationMetadataOverride.newBuilder() to construct.
-  private ExplanationMetadataOverride(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
-    super(builder);
-  }
-
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-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
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-       *
-       * <pre>
-       * Baseline inputs for this feature.
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-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
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-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
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-          inputBaselinesBuilder_.setMessage(index, value);
-        }
-        return this;
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-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
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-          onChanged();
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-          inputBaselinesBuilder_.setMessage(index, builderForValue.build());
-        }
-        return this;
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-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public Builder addInputBaselines(com.google.protobuf.Value value) {
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-          ensureInputBaselinesIsMutable();
-          inputBaselines_.add(value);
-          onChanged();
-        } else {
-          inputBaselinesBuilder_.addMessage(value);
-        }
-        return this;
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-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public Builder addInputBaselines(int index, com.google.protobuf.Value value) {
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-        return this;
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-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public Builder addInputBaselines(com.google.protobuf.Value.Builder builderForValue) {
-        if (inputBaselinesBuilder_ == null) {
-          ensureInputBaselinesIsMutable();
-          inputBaselines_.add(builderForValue.build());
-          onChanged();
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-          inputBaselinesBuilder_.addMessage(builderForValue.build());
-        }
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public Builder addInputBaselines(
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-        if (inputBaselinesBuilder_ == null) {
-          ensureInputBaselinesIsMutable();
-          inputBaselines_.add(index, builderForValue.build());
-          onChanged();
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-          inputBaselinesBuilder_.addMessage(index, builderForValue.build());
-        }
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public Builder addAllInputBaselines(
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-          inputBaselinesBuilder_.addAllMessages(values);
-        }
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
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-          inputBaselinesBuilder_.clear();
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-        return this;
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-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public Builder removeInputBaselines(int index) {
-        if (inputBaselinesBuilder_ == null) {
-          ensureInputBaselinesIsMutable();
-          inputBaselines_.remove(index);
-          onChanged();
-        } else {
-          inputBaselinesBuilder_.remove(index);
-        }
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public com.google.protobuf.Value.Builder getInputBaselinesBuilder(int index) {
-        return getInputBaselinesFieldBuilder().getBuilder(index);
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public com.google.protobuf.ValueOrBuilder getInputBaselinesOrBuilder(int index) {
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-          return inputBaselines_.get(index);
-        } else {
-          return inputBaselinesBuilder_.getMessageOrBuilder(index);
-        }
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
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-          return java.util.Collections.unmodifiableList(inputBaselines_);
-        }
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
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-        return getInputBaselinesFieldBuilder()
-            .addBuilder(com.google.protobuf.Value.getDefaultInstance());
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public com.google.protobuf.Value.Builder addInputBaselinesBuilder(int index) {
-        return getInputBaselinesFieldBuilder()
-            .addBuilder(index, com.google.protobuf.Value.getDefaultInstance());
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Baseline inputs for this feature.
-       * This overrides the `input_baseline` field of the
-       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-       * object of the corresponding feature's input metadata. If it's not
-       * specified, the original baselines are not overridden.
-       * </pre>
-       *
-       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
-       */
-      public java.util.List<com.google.protobuf.Value.Builder> getInputBaselinesBuilderList() {
-        return getInputBaselinesFieldBuilder().getBuilderList();
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-
-      private com.google.protobuf.RepeatedFieldBuilderV3<
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-        return inputBaselinesBuilder_;
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-
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-
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-
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-
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-            .InputMetadataOverride
-        getDefaultInstance() {
-      return DEFAULT_INSTANCE;
-    }
-
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-            return new InputMetadataOverride(input, extensionRegistry);
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-
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-      return PARSER;
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-
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-    public com.google.protobuf.Parser<InputMetadataOverride> getParserForType() {
-      return PARSER;
-    }
-
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
-        getDefaultInstanceForType() {
-      return DEFAULT_INSTANCE;
-    }
-  }
-
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-                        .InputMetadataOverride>
-                    newDefaultInstance(
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-                        com.google.protobuf.WireFormat.FieldType.STRING,
-                        "",
-                        com.google.protobuf.WireFormat.FieldType.MESSAGE,
-                        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
-                            .InputMetadataOverride.getDefaultInstance());
-  }
-
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-      inputs_;
-
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-      internalGetInputs() {
-    if (inputs_ == null) {
-      return com.google.protobuf.MapField.emptyMapField(InputsDefaultEntryHolder.defaultEntry);
-    }
-    return inputs_;
-  }
-
-  public int getInputsCount() {
-    return internalGetInputs().getMap().size();
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
-   * </pre>
-   *
-   * <code>
-   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
-   * </code>
-   */
-  @java.lang.Override
-  public boolean containsInputs(java.lang.String key) {
-    if (key == null) {
-      throw new java.lang.NullPointerException();
-    }
-    return internalGetInputs().getMap().containsKey(key);
-  }
-  /** Use {@link #getInputsMap()} instead. */
-  @java.lang.Override
-  @java.lang.Deprecated
-  public java.util.Map<
-          java.lang.String,
-          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
-      getInputs() {
-    return getInputsMap();
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
-   * </pre>
-   *
-   * <code>
-   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
-   * </code>
-   */
-  @java.lang.Override
-  public java.util.Map<
-          java.lang.String,
-          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
-      getInputsMap() {
-    return internalGetInputs().getMap();
-  }
-  /**
-   *
-   *
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-     * </code>
-     */
-    public Builder putAllInputs(
-        java.util.Map<
-                java.lang.String,
-                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
-                    .InputMetadataOverride>
-            values) {
-      internalGetMutableInputs().getMutableMap().putAll(values);
-      return this;
-    }
-
-    @java.lang.Override
-    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
-      return super.setUnknownFields(unknownFields);
-    }
-
-    @java.lang.Override
-    public final Builder mergeUnknownFields(
-        final com.google.protobuf.UnknownFieldSet unknownFields) {
-      return super.mergeUnknownFields(unknownFields);
-    }
-
-    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
-  }
-
-  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
-  private static final com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
-      DEFAULT_INSTANCE;
-
-  static {
-    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride();
-  }
-
-  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
-      getDefaultInstance() {
-    return DEFAULT_INSTANCE;
-  }
-
-  private static final com.google.protobuf.Parser<ExplanationMetadataOverride> PARSER =
-      new com.google.protobuf.AbstractParser<ExplanationMetadataOverride>() {
-        @java.lang.Override
-        public ExplanationMetadataOverride parsePartialFrom(
-            com.google.protobuf.CodedInputStream input,
-            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws com.google.protobuf.InvalidProtocolBufferException {
-          return new ExplanationMetadataOverride(input, extensionRegistry);
-        }
-      };
-
-  public static com.google.protobuf.Parser<ExplanationMetadataOverride> parser() {
-    return PARSER;
-  }
-
-  @java.lang.Override
-  public com.google.protobuf.Parser<ExplanationMetadataOverride> getParserForType() {
-    return PARSER;
-  }
-
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
-      getDefaultInstanceForType() {
-    return DEFAULT_INSTANCE;
-  }
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
deleted file mode 100644
index d668b24b2..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
+++ /dev/null
@@ -1,120 +0,0 @@
-/*
- * Copyright 2020 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/explanation.proto
-
-package com.google.cloud.aiplatform.v1beta1;
-
-public interface ExplanationMetadataOverrideOrBuilder
-    extends
-    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
-    com.google.protobuf.MessageOrBuilder {
-
-  /**
-   *
-   *
-   * <pre>
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
-   * </pre>
-   *
-   * <code>
-   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
-   * </code>
-   */
-  int getInputsCount();
-  /**
-   *
-   *
-   * <pre>
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
-   * </pre>
-   *
-   * <code>
-   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
-   * </code>
-   */
-  boolean containsInputs(java.lang.String key);
-  /** Use {@link #getInputsMap()} instead. */
-  @java.lang.Deprecated
-  java.util.Map<
-          java.lang.String,
-          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
-      getInputs();
-  /**
-   *
-   *
-   * <pre>
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
-   * </pre>
-   *
-   * <code>
-   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
-   * </code>
-   */
-  java.util.Map<
-          java.lang.String,
-          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
-      getInputsMap();
-  /**
-   *
-   *
-   * <pre>
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
-   * </pre>
-   *
-   * <code>
-   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
-      getInputsOrDefault(
-          java.lang.String key,
-          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
-              defaultValue);
-  /**
-   *
-   *
-   * <pre>
-   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-   * The key is the name of the feature to be overridden. The keys specified
-   * here must exist in the input metadata to be overridden. If a feature is
-   * not specified here, the corresponding feature's input metadata is not
-   * overridden.
-   * </pre>
-   *
-   * <code>
-   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
-      getInputsOrThrow(java.lang.String key);
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
index eb75dc2a5..e4612aeb9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
@@ -466,7 +466,7 @@ public int getTopK() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+   * [output_index][Attributions.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -489,7 +489,7 @@ public boolean hasOutputIndices() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+   * [output_index][Attributions.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -514,7 +514,7 @@ public com.google.protobuf.ListValue getOutputIndices() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+   * [output_index][Attributions.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1860,7 +1860,7 @@ public Builder clearTopK() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1882,7 +1882,7 @@ public boolean hasOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1910,7 +1910,7 @@ public com.google.protobuf.ListValue getOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1940,7 +1940,7 @@ public Builder setOutputIndices(com.google.protobuf.ListValue value) {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1967,7 +1967,7 @@ public Builder setOutputIndices(com.google.protobuf.ListValue.Builder builderFor
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2001,7 +2001,7 @@ public Builder mergeOutputIndices(com.google.protobuf.ListValue value) {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2029,7 +2029,7 @@ public Builder clearOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2051,7 +2051,7 @@ public com.google.protobuf.ListValue.Builder getOutputIndicesBuilder() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2077,7 +2077,7 @@ public com.google.protobuf.ListValueOrBuilder getOutputIndicesOrBuilder() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+     * [output_index][Attributions.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
index 481e2c415..49e328159 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
@@ -200,7 +200,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+   * [output_index][Attributions.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -220,7 +220,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+   * [output_index][Attributions.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -240,7 +240,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+   * [output_index][Attributions.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
index 5dba6213f..024a4c76c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
@@ -71,22 +71,6 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_FeatureNoiseSigma_NoiseSigmaForFeature_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_FeatureNoiseSigma_NoiseSigmaForFeature_fieldAccessorTable;
-  static final com.google.protobuf.Descriptors.Descriptor
-      internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor;
-  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_fieldAccessorTable;
-  static final com.google.protobuf.Descriptors.Descriptor
-      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
-  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable;
-  static final com.google.protobuf.Descriptors.Descriptor
-      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor;
-  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_fieldAccessorTable;
-  static final com.google.protobuf.Descriptors.Descriptor
-      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor;
-  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -144,23 +128,10 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "gle.cloud.aiplatform.v1beta1.FeatureNois"
           + "eSigma.NoiseSigmaForFeature\0323\n\024NoiseSigm"
           + "aForFeature\022\014\n\004name\030\001 \001(\t\022\r\n\005sigma\030\002 \001(\002"
-          + "\"\265\001\n\027ExplanationSpecOverride\022J\n\nparamete"
-          + "rs\030\001 \001(\01326.google.cloud.aiplatform.v1bet"
-          + "a1.ExplanationParameters\022N\n\010metadata\030\002 \001"
-          + "(\0132<.google.cloud.aiplatform.v1beta1.Exp"
-          + "lanationMetadataOverride\"\312\002\n\033Explanation"
-          + "MetadataOverride\022]\n\006inputs\030\001 \003(\0132H.googl"
-          + "e.cloud.aiplatform.v1beta1.ExplanationMe"
-          + "tadataOverride.InputsEntryB\003\340A\002\032H\n\025Input"
-          + "MetadataOverride\022/\n\017input_baselines\030\001 \003("
-          + "\0132\026.google.protobuf.Value\032\201\001\n\013InputsEntr"
-          + "y\022\013\n\003key\030\001 \001(\t\022a\n\005value\030\002 \001(\0132R.google.c"
-          + "loud.aiplatform.v1beta1.ExplanationMetad"
-          + "ataOverride.InputMetadataOverride:\0028\001B\204\001"
-          + "\n#com.google.cloud.aiplatform.v1beta1B\020E"
-          + "xplanationProtoP\001ZIgoogle.golang.org/gen"
-          + "proto/googleapis/cloud/aiplatform/v1beta"
-          + "1;aiplatformb\006proto3"
+          + "B\204\001\n#com.google.cloud.aiplatform.v1beta1"
+          + "B\020ExplanationProtoP\001ZIgoogle.golang.org/"
+          + "genproto/googleapis/cloud/aiplatform/v1b"
+          + "eta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -272,42 +243,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new java.lang.String[] {
               "Name", "Sigma",
             });
-    internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor =
-        getDescriptor().getMessageTypes().get(10);
-    internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_fieldAccessorTable =
-        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
-            internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor,
-            new java.lang.String[] {
-              "Parameters", "Metadata",
-            });
-    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor =
-        getDescriptor().getMessageTypes().get(11);
-    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable =
-        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
-            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor,
-            new java.lang.String[] {
-              "Inputs",
-            });
-    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor =
-        internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor
-            .getNestedTypes()
-            .get(0);
-    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_fieldAccessorTable =
-        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
-            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor,
-            new java.lang.String[] {
-              "InputBaselines",
-            });
-    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor =
-        internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor
-            .getNestedTypes()
-            .get(1);
-    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_fieldAccessorTable =
-        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
-            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor,
-            new java.lang.String[] {
-              "Key", "Value",
-            });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
     registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
deleted file mode 100644
index 0ceb1bee8..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
+++ /dev/null
@@ -1,1051 +0,0 @@
-/*
- * Copyright 2020 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/explanation.proto
-
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-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
-     */
-    public Builder mergeParameters(
-        com.google.cloud.aiplatform.v1beta1.ExplanationParameters value) {
-      if (parametersBuilder_ == null) {
-        if (parameters_ != null) {
-          parameters_ =
-              com.google.cloud.aiplatform.v1beta1.ExplanationParameters.newBuilder(parameters_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          parameters_ = value;
-        }
-        onChanged();
-      } else {
-        parametersBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
-     */
-    public Builder clearParameters() {
-      if (parametersBuilder_ == null) {
-        parameters_ = null;
-        onChanged();
-      } else {
-        parameters_ = null;
-        parametersBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder
-        getParametersBuilder() {
-
-      onChanged();
-      return getParametersFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder
-        getParametersOrBuilder() {
-      if (parametersBuilder_ != null) {
-        return parametersBuilder_.getMessageOrBuilder();
-      } else {
-        return parameters_ == null
-            ? com.google.cloud.aiplatform.v1beta1.ExplanationParameters.getDefaultInstance()
-            : parameters_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The parameters to be overridden. Note that the
-     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-     * no parameter is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.ExplanationParameters,
-            com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder,
-            com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder>
-        getParametersFieldBuilder() {
-      if (parametersBuilder_ == null) {
-        parametersBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.ExplanationParameters,
-                com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder,
-                com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder>(
-                getParameters(), getParentForChildren(), isClean());
-        parameters_ = null;
-      }
-      return parametersBuilder_;
-    }
-
-    private com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride,
-            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
-            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder>
-        metadataBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     *
-     * @return Whether the metadata field is set.
-     */
-    public boolean hasMetadata() {
-      return metadataBuilder_ != null || metadata_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     *
-     * @return The metadata.
-     */
-    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride getMetadata() {
-      if (metadataBuilder_ == null) {
-        return metadata_ == null
-            ? com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance()
-            : metadata_;
-      } else {
-        return metadataBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     */
-    public Builder setMetadata(
-        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride value) {
-      if (metadataBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        metadata_ = value;
-        onChanged();
-      } else {
-        metadataBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     */
-    public Builder setMetadata(
-        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder builderForValue) {
-      if (metadataBuilder_ == null) {
-        metadata_ = builderForValue.build();
-        onChanged();
-      } else {
-        metadataBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     */
-    public Builder mergeMetadata(
-        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride value) {
-      if (metadataBuilder_ == null) {
-        if (metadata_ != null) {
-          metadata_ =
-              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.newBuilder(metadata_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          metadata_ = value;
-        }
-        onChanged();
-      } else {
-        metadataBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     */
-    public Builder clearMetadata() {
-      if (metadataBuilder_ == null) {
-        metadata_ = null;
-        onChanged();
-      } else {
-        metadata_ = null;
-        metadataBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder
-        getMetadataBuilder() {
-
-      onChanged();
-      return getMetadataFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder
-        getMetadataOrBuilder() {
-      if (metadataBuilder_ != null) {
-        return metadataBuilder_.getMessageOrBuilder();
-      } else {
-        return metadata_ == null
-            ? com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance()
-            : metadata_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The metadata to be overridden. If not specified, no metadata is overridden.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride,
-            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
-            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder>
-        getMetadataFieldBuilder() {
-      if (metadataBuilder_ == null) {
-        metadataBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride,
-                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
-                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder>(
-                getMetadata(), getParentForChildren(), isClean());
-        metadata_ = null;
-      }
-      return metadataBuilder_;
-    }
-
-    @java.lang.Override
-    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
-      return super.setUnknownFields(unknownFields);
-    }
-
-    @java.lang.Override
-    public final Builder mergeUnknownFields(
-        final com.google.protobuf.UnknownFieldSet unknownFields) {
-      return super.mergeUnknownFields(unknownFields);
-    }
-
-    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
-  }
-
-  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
-  private static final com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride DEFAULT_INSTANCE;
-
-  static {
-    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride();
-  }
-
-  public static com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getDefaultInstance() {
-    return DEFAULT_INSTANCE;
-  }
-
-  private static final com.google.protobuf.Parser<ExplanationSpecOverride> PARSER =
-      new com.google.protobuf.AbstractParser<ExplanationSpecOverride>() {
-        @java.lang.Override
-        public ExplanationSpecOverride parsePartialFrom(
-            com.google.protobuf.CodedInputStream input,
-            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws com.google.protobuf.InvalidProtocolBufferException {
-          return new ExplanationSpecOverride(input, extensionRegistry);
-        }
-      };
-
-  public static com.google.protobuf.Parser<ExplanationSpecOverride> parser() {
-    return PARSER;
-  }
-
-  @java.lang.Override
-  public com.google.protobuf.Parser<ExplanationSpecOverride> getParserForType() {
-    return PARSER;
-  }
-
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getDefaultInstanceForType() {
-    return DEFAULT_INSTANCE;
-  }
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
deleted file mode 100644
index 390082aab..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
+++ /dev/null
@@ -1,101 +0,0 @@
-/*
- * Copyright 2020 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/explanation.proto
-
-package com.google.cloud.aiplatform.v1beta1;
-
-public interface ExplanationSpecOverrideOrBuilder
-    extends
-    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
-    com.google.protobuf.MessageOrBuilder {
-
-  /**
-   *
-   *
-   * <pre>
-   * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
-   *
-   * @return Whether the parameters field is set.
-   */
-  boolean hasParameters();
-  /**
-   *
-   *
-   * <pre>
-   * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
-   *
-   * @return The parameters.
-   */
-  com.google.cloud.aiplatform.v1beta1.ExplanationParameters getParameters();
-  /**
-   *
-   *
-   * <pre>
-   * The parameters to be overridden. Note that the
-   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-   * no parameter is overridden.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder getParametersOrBuilder();
-
-  /**
-   *
-   *
-   * <pre>
-   * The metadata to be overridden. If not specified, no metadata is overridden.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-   *
-   * @return Whether the metadata field is set.
-   */
-  boolean hasMetadata();
-  /**
-   *
-   *
-   * <pre>
-   * The metadata to be overridden. If not specified, no metadata is overridden.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-   *
-   * @return The metadata.
-   */
-  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride getMetadata();
-  /**
-   *
-   *
-   * <pre>
-   * The metadata to be overridden. If not specified, no metadata is overridden.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder getMetadataOrBuilder();
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
index 15577f997..12a7d312f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
@@ -169,14 +169,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location where the Model artifact is to be
+     * The Google Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -188,14 +188,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location where the Model artifact is to be
+     * The Google Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -207,14 +207,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Cloud Storage location where the Model artifact is to be
+     * The Google Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -227,8 +227,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `IMAGE`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -243,8 +243,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `IMAGE`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -259,8 +259,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `IMAGE`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -458,14 +458,14 @@ public com.google.protobuf.ByteString getExportFormatIdBytes() {
      *
      *
      * <pre>
-     * The Cloud Storage location where the Model artifact is to be
+     * The Google Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -480,14 +480,14 @@ public boolean hasArtifactDestination() {
      *
      *
      * <pre>
-     * The Cloud Storage location where the Model artifact is to be
+     * The Google Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -504,14 +504,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
      *
      *
      * <pre>
-     * The Cloud Storage location where the Model artifact is to be
+     * The Google Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `ARTIFACT`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -530,8 +530,8 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `IMAGE`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -549,8 +549,8 @@ public boolean hasImageDestination() {
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `IMAGE`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -570,8 +570,8 @@ public com.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination getImage
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when the `exportableContent` field of the
-     * [Model.supported_export_formats] object contains `IMAGE`.
+     * This field should only be set when
+     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1102,14 +1102,14 @@ public Builder setExportFormatIdBytes(com.google.protobuf.ByteString value) {
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1123,14 +1123,14 @@ public boolean hasArtifactDestination() {
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1150,14 +1150,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1180,14 +1180,14 @@ public Builder setArtifactDestination(
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1207,14 +1207,14 @@ public Builder setArtifactDestination(
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1241,14 +1241,14 @@ public Builder mergeArtifactDestination(
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1268,14 +1268,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1290,14 +1290,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1316,14 +1316,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Cloud Storage location where the Model artifact is to be
+       * The Google Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `ARTIFACT`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1357,8 +1357,8 @@ public Builder clearArtifactDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1375,8 +1375,8 @@ public boolean hasImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1401,8 +1401,8 @@ public boolean hasImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1428,8 +1428,8 @@ public Builder setImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1453,8 +1453,8 @@ public Builder setImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1485,8 +1485,8 @@ public Builder mergeImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1509,8 +1509,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1528,8 +1528,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1552,8 +1552,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when the `exportableContent` field of the
-       * [Model.supported_export_formats] object contains `IMAGE`.
+       * This field should only be set when
+       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
index b76ec6200..ec7a1316b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
@@ -27,7 +27,6 @@
  * supported for Datasets containing DataItems.
  * If any of the filters in this message are to match nothing, then they can be
  * set as '-' (the minus sign).
- * Supported only for unstructured Datasets.
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.FilterSplit}
@@ -142,7 +141,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -170,7 +169,7 @@ public java.lang.String getTrainingFilter() {
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -201,7 +200,7 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -229,7 +228,7 @@ public java.lang.String getValidationFilter() {
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -260,7 +259,7 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -288,7 +287,7 @@ public java.lang.String getTestFilter() {
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -495,7 +494,6 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * supported for Datasets containing DataItems.
    * If any of the filters in this message are to match nothing, then they can be
    * set as '-' (the minus sign).
-   * Supported only for unstructured Datasets.
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.FilterSplit}
@@ -672,7 +670,7 @@ public Builder mergeFrom(
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -699,7 +697,7 @@ public java.lang.String getTrainingFilter() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -726,7 +724,7 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -752,7 +750,7 @@ public Builder setTrainingFilter(java.lang.String value) {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -774,7 +772,7 @@ public Builder clearTrainingFilter() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -803,7 +801,7 @@ public Builder setTrainingFilterBytes(com.google.protobuf.ByteString value) {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -830,7 +828,7 @@ public java.lang.String getValidationFilter() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -857,7 +855,7 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -883,7 +881,7 @@ public Builder setValidationFilter(java.lang.String value) {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -905,7 +903,7 @@ public Builder clearValidationFilter() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -934,7 +932,7 @@ public Builder setValidationFilterBytes(com.google.protobuf.ByteString value) {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -961,7 +959,7 @@ public java.lang.String getTestFilter() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -988,7 +986,7 @@ public com.google.protobuf.ByteString getTestFilterBytes() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -1014,7 +1012,7 @@ public Builder setTestFilter(java.lang.String value) {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -1036,7 +1034,7 @@ public Builder clearTestFilter() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it is assigned to the first set that applies to it in the
+     * then it will be assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
index b859b4ca0..1ea8fdbbd 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
@@ -31,7 +31,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -48,7 +48,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -66,7 +66,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -83,7 +83,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -101,7 +101,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -118,7 +118,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it is assigned to the first set that applies to it in the
+   * then it will be assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
index 090e468b4..5f81ef874 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
@@ -27,7 +27,7 @@
  * `test_fraction` may optionally be provided, they must sum to up to 1. If the
  * provided ones sum to less than 1, the remainder is assigned to sets as
  * decided by AI Platform. If none of the fractions are set, by default roughly
- * 80% of data is used for training, 10% for validation, and 10% for test.
+ * 80% of data will be used for training, 10% for validation, and 10% for test.
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.FractionSplit}
@@ -374,7 +374,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * `test_fraction` may optionally be provided, they must sum to up to 1. If the
    * provided ones sum to less than 1, the remainder is assigned to sets as
    * decided by AI Platform. If none of the fractions are set, by default roughly
-   * 80% of data is used for training, 10% for validation, and 10% for test.
+   * 80% of data will be used for training, 10% for validation, and 10% for test.
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.FractionSplit}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
index cd90bc6c8..69a860a4e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
@@ -241,23 +241,6 @@ private HyperparameterTuningJob(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
-              break;
-            }
-          case 138:
-            {
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
-              if (encryptionSpec_ != null) {
-                subBuilder = encryptionSpec_.toBuilder();
-              }
-              encryptionSpec_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(encryptionSpec_);
-                encryptionSpec_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           default:
@@ -1062,60 +1045,6 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
-  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 17;
-  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a HyperparameterTuningJob.
-   * If this is set, then all resources created by the HyperparameterTuningJob
-   * will be encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  @java.lang.Override
-  public boolean hasEncryptionSpec() {
-    return encryptionSpec_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a HyperparameterTuningJob.
-   * If this is set, then all resources created by the HyperparameterTuningJob
-   * will be encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-    return encryptionSpec_ == null
-        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-        : encryptionSpec_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a HyperparameterTuningJob.
-   * If this is set, then all resources created by the HyperparameterTuningJob
-   * will be encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
-    return getEncryptionSpec();
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -1174,9 +1103,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 16);
-    if (encryptionSpec_ != null) {
-      output.writeMessage(17, getEncryptionSpec());
-    }
     unknownFields.writeTo(output);
   }
 
@@ -1238,9 +1164,6 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(16, labels__);
     }
-    if (encryptionSpec_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(17, getEncryptionSpec());
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1293,10 +1216,6 @@ public boolean equals(final java.lang.Object obj) {
       if (!getError().equals(other.getError())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
-    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
-    if (hasEncryptionSpec()) {
-      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
-    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1356,10 +1275,6 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
-    if (hasEncryptionSpec()) {
-      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
-      hash = (53 * hash) + getEncryptionSpec().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1591,12 +1506,6 @@ public Builder clear() {
         errorBuilder_ = null;
       }
       internalGetMutableLabels().clear();
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
       return this;
     }
 
@@ -1677,11 +1586,6 @@ public com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob buildPartial(
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
-      if (encryptionSpecBuilder_ == null) {
-        result.encryptionSpec_ = encryptionSpec_;
-      } else {
-        result.encryptionSpec_ = encryptionSpecBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -1801,9 +1705,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.HyperparameterTunin
         mergeError(other.getError());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
-      if (other.hasEncryptionSpec()) {
-        mergeEncryptionSpec(other.getEncryptionSpec());
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -4298,211 +4199,6 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        encryptionSpecBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     *
-     * @return Whether the encryptionSpec field is set.
-     */
-    public boolean hasEncryptionSpec() {
-      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     *
-     * @return The encryptionSpec.
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      } else {
-        return encryptionSpecBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     */
-    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        encryptionSpec_ = value;
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     */
-    public Builder setEncryptionSpec(
-        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = builderForValue.build();
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     */
-    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (encryptionSpec_ != null) {
-          encryptionSpec_ =
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          encryptionSpec_ = value;
-        }
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     */
-    public Builder clearEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-        onChanged();
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
-
-      onChanged();
-      return getEncryptionSpecFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
-        getEncryptionSpecOrBuilder() {
-      if (encryptionSpecBuilder_ != null) {
-        return encryptionSpecBuilder_.getMessageOrBuilder();
-      } else {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key options for a HyperparameterTuningJob.
-     * If this is set, then all resources created by the HyperparameterTuningJob
-     * will be encrypted with the provided encryption key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        getEncryptionSpecFieldBuilder() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpecBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
-                getEncryptionSpec(), getParentForChildren(), isClean());
-        encryptionSpec_ = null;
-      }
-      return encryptionSpecBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
index 8de927964..7634369d1 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
@@ -564,45 +564,4 @@ public interface HyperparameterTuningJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 16;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
-
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a HyperparameterTuningJob.
-   * If this is set, then all resources created by the HyperparameterTuningJob
-   * will be encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  boolean hasEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a HyperparameterTuningJob.
-   * If this is set, then all resources created by the HyperparameterTuningJob
-   * will be encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key options for a HyperparameterTuningJob.
-   * If this is set, then all resources created by the HyperparameterTuningJob
-   * will be encrypted with the provided encryption key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
index fac475138..d96f4404b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
@@ -49,43 +49,40 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "aiplatform.v1beta1\032\037google/api/field_beh"
           + "avior.proto\032\031google/api/resource.proto\0320"
           + "google/cloud/aiplatform/v1beta1/custom_j"
-          + "ob.proto\0325google/cloud/aiplatform/v1beta"
-          + "1/encryption_spec.proto\032/google/cloud/ai"
-          + "platform/v1beta1/job_state.proto\032+google"
-          + "/cloud/aiplatform/v1beta1/study.proto\032\037g"
-          + "oogle/protobuf/timestamp.proto\032\027google/r"
-          + "pc/status.proto\032\034google/api/annotations."
-          + "proto\"\231\010\n\027HyperparameterTuningJob\022\021\n\004nam"
-          + "e\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022"
-          + "C\n\nstudy_spec\030\004 \001(\0132*.google.cloud.aipla"
-          + "tform.v1beta1.StudySpecB\003\340A\002\022\034\n\017max_tria"
-          + "l_count\030\005 \001(\005B\003\340A\002\022!\n\024parallel_trial_cou"
-          + "nt\030\006 \001(\005B\003\340A\002\022\036\n\026max_failed_trial_count\030"
-          + "\007 \001(\005\022K\n\016trial_job_spec\030\010 \001(\0132..google.c"
-          + "loud.aiplatform.v1beta1.CustomJobSpecB\003\340"
-          + "A\002\022;\n\006trials\030\t \003(\0132&.google.cloud.aiplat"
-          + "form.v1beta1.TrialB\003\340A\003\022=\n\005state\030\n \001(\0162)"
-          + ".google.cloud.aiplatform.v1beta1.JobStat"
-          + "eB\003\340A\003\0224\n\013create_time\030\013 \001(\0132\032.google.pro"
-          + "tobuf.TimestampB\003\340A\003\0223\n\nstart_time\030\014 \001(\013"
-          + "2\032.google.protobuf.TimestampB\003\340A\003\0221\n\010end"
-          + "_time\030\r \001(\0132\032.google.protobuf.TimestampB"
-          + "\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google.proto"
-          + "buf.TimestampB\003\340A\003\022&\n\005error\030\017 \001(\0132\022.goog"
-          + "le.rpc.StatusB\003\340A\003\022T\n\006labels\030\020 \003(\0132D.goo"
-          + "gle.cloud.aiplatform.v1beta1.Hyperparame"
-          + "terTuningJob.LabelsEntry\022H\n\017encryption_s"
-          + "pec\030\021 \001(\0132/.google.cloud.aiplatform.v1be"
-          + "ta1.EncryptionSpec\032-\n\013LabelsEntry\022\013\n\003key"
-          + "\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\225\001\352A\221\001\n1aiplat"
-          + "form.googleapis.com/HyperparameterTuning"
-          + "Job\022\\projects/{project}/locations/{locat"
-          + "ion}/hyperparameterTuningJobs/{hyperpara"
-          + "meter_tuning_job}B\220\001\n#com.google.cloud.a"
-          + "iplatform.v1beta1B\034HyperparameterTuningJ"
-          + "obProtoP\001ZIgoogle.golang.org/genproto/go"
-          + "ogleapis/cloud/aiplatform/v1beta1;aiplat"
-          + "formb\006proto3"
+          + "ob.proto\032/google/cloud/aiplatform/v1beta"
+          + "1/job_state.proto\032+google/cloud/aiplatfo"
+          + "rm/v1beta1/study.proto\032\037google/protobuf/"
+          + "timestamp.proto\032\027google/rpc/status.proto"
+          + "\032\034google/api/annotations.proto\"\317\007\n\027Hyper"
+          + "parameterTuningJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n"
+          + "\014display_name\030\002 \001(\tB\003\340A\002\022C\n\nstudy_spec\030\004"
+          + " \001(\0132*.google.cloud.aiplatform.v1beta1.S"
+          + "tudySpecB\003\340A\002\022\034\n\017max_trial_count\030\005 \001(\005B\003"
+          + "\340A\002\022!\n\024parallel_trial_count\030\006 \001(\005B\003\340A\002\022\036"
+          + "\n\026max_failed_trial_count\030\007 \001(\005\022K\n\016trial_"
+          + "job_spec\030\010 \001(\0132..google.cloud.aiplatform"
+          + ".v1beta1.CustomJobSpecB\003\340A\002\022;\n\006trials\030\t "
+          + "\003(\0132&.google.cloud.aiplatform.v1beta1.Tr"
+          + "ialB\003\340A\003\022=\n\005state\030\n \001(\0162).google.cloud.a"
+          + "iplatform.v1beta1.JobStateB\003\340A\003\0224\n\013creat"
+          + "e_time\030\013 \001(\0132\032.google.protobuf.Timestamp"
+          + "B\003\340A\003\0223\n\nstart_time\030\014 \001(\0132\032.google.proto"
+          + "buf.TimestampB\003\340A\003\0221\n\010end_time\030\r \001(\0132\032.g"
+          + "oogle.protobuf.TimestampB\003\340A\003\0224\n\013update_"
+          + "time\030\016 \001(\0132\032.google.protobuf.TimestampB\003"
+          + "\340A\003\022&\n\005error\030\017 \001(\0132\022.google.rpc.StatusB\003"
+          + "\340A\003\022T\n\006labels\030\020 \003(\0132D.google.cloud.aipla"
+          + "tform.v1beta1.HyperparameterTuningJob.La"
+          + "belsEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n"
+          + "\005value\030\002 \001(\t:\0028\001:\225\001\352A\221\001\n1aiplatform.goog"
+          + "leapis.com/HyperparameterTuningJob\022\\proj"
+          + "ects/{project}/locations/{location}/hype"
+          + "rparameterTuningJobs/{hyperparameter_tun"
+          + "ing_job}B\220\001\n#com.google.cloud.aiplatform"
+          + ".v1beta1B\034HyperparameterTuningJobProtoP\001"
+          + "ZIgoogle.golang.org/genproto/googleapis/"
+          + "cloud/aiplatform/v1beta1;aiplatformb\006pro"
+          + "to3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -94,7 +91,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.StudyProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -122,7 +118,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Error",
               "Labels",
-              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_HyperparameterTuningJob_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_HyperparameterTuningJob_descriptor
@@ -143,7 +138,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.StudyProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
index eb71199dc..3b6605cc0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
@@ -553,17 +553,17 @@ public com.google.cloud.aiplatform.v1beta1.TimestampSplitOrBuilder getTimestampS
    *
    *
    * <pre>
-   * The Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory is created with
+   * The Google Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory will be created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data is written into that directory.
-   * The AI Platform environment variables representing Cloud Storage
-   * data URIs are represented in the Cloud Storage wildcard
+   * All training input data will be written into that directory.
+   * The AI Platform environment variables representing Google Cloud Storage
+   * data URIs will always be represented in the Google Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI =
+   * * AIP_TRAINING_DATA_URI  =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -583,17 +583,17 @@ public boolean hasGcsDestination() {
    *
    *
    * <pre>
-   * The Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory is created with
+   * The Google Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory will be created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data is written into that directory.
-   * The AI Platform environment variables representing Cloud Storage
-   * data URIs are represented in the Cloud Storage wildcard
+   * All training input data will be written into that directory.
+   * The AI Platform environment variables representing Google Cloud Storage
+   * data URIs will always be represented in the Google Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI =
+   * * AIP_TRAINING_DATA_URI  =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -616,17 +616,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
    *
    *
    * <pre>
-   * The Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory is created with
+   * The Google Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory will be created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data is written into that directory.
-   * The AI Platform environment variables representing Cloud Storage
-   * data URIs are represented in the Cloud Storage wildcard
+   * All training input data will be written into that directory.
+   * The AI Platform environment variables representing Google Cloud Storage
+   * data URIs will always be represented in the Google Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI =
+   * * AIP_TRAINING_DATA_URI  =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -649,14 +649,12 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestinationOrBuilder getGcsDestina
    *
    *
    * <pre>
-   * Only applicable to custom training with tabular Dataset with BigQuery
-   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data is written into that dataset. In the dataset three
-   * tables are created, `training`, `validation` and `test`.
+   * input data will be written into that dataset. In the dataset three
+   * tables will be created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -678,14 +676,12 @@ public boolean hasBigqueryDestination() {
    *
    *
    * <pre>
-   * Only applicable to custom training with tabular Dataset with BigQuery
-   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data is written into that dataset. In the dataset three
-   * tables are created, `training`, `validation` and `test`.
+   * input data will be written into that dataset. In the dataset three
+   * tables will be created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -710,14 +706,12 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
    *
    *
    * <pre>
-   * Only applicable to custom training with tabular Dataset with BigQuery
-   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data is written into that dataset. In the dataset three
-   * tables are created, `training`, `validation` and `test`.
+   * input data will be written into that dataset. In the dataset three
+   * tables will be created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -805,7 +799,7 @@ public com.google.protobuf.ByteString getDatasetIdBytes() {
    *
    *
    * <pre>
-   * Applicable only to Datasets that have DataItems and Annotations.
+   * Only applicable to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -836,7 +830,7 @@ public java.lang.String getAnnotationsFilter() {
    *
    *
    * <pre>
-   * Applicable only to Datasets that have DataItems and Annotations.
+   * Only applicable to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -870,13 +864,14 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
    *
    *
    * <pre>
-   * Applicable only to custom training with Datasets that have DataItems and
-   * Annotations.
-   * Cloud Storage URI that points to a YAML file describing the annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2
-   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * Only applicable to custom training.
+   * Google Cloud Storage URI points to a YAML file describing annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+   * https:
+   * //github.com/OAI/OpenAPI-Specification/b
+   * // lob/master/versions/3.0.2.md#schema-object)
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -908,13 +903,14 @@ public java.lang.String getAnnotationSchemaUri() {
    *
    *
    * <pre>
-   * Applicable only to custom training with Datasets that have DataItems and
-   * Annotations.
-   * Cloud Storage URI that points to a YAML file describing the annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2
-   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * Only applicable to custom training.
+   * Google Cloud Storage URI points to a YAML file describing annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+   * https:
+   * //github.com/OAI/OpenAPI-Specification/b
+   * // lob/master/versions/3.0.2.md#schema-object)
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -2386,17 +2382,17 @@ public com.google.cloud.aiplatform.v1beta1.TimestampSplit.Builder getTimestampSp
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2416,17 +2412,17 @@ public boolean hasGcsDestination() {
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2456,17 +2452,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2493,17 +2489,17 @@ public Builder setGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestinat
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2528,17 +2524,17 @@ public Builder setGcsDestination(
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2575,17 +2571,17 @@ public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestin
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2615,17 +2611,17 @@ public Builder clearGcsDestination() {
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2642,17 +2638,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2678,17 +2674,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
-     * The Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory is created with
+     * The Google Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory will be created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data is written into that directory.
-     * The AI Platform environment variables representing Cloud Storage
-     * data URIs are represented in the Cloud Storage wildcard
+     * All training input data will be written into that directory.
+     * The AI Platform environment variables representing Google Cloud Storage
+     * data URIs will always be represented in the Google Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI =
+     * * AIP_TRAINING_DATA_URI  =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2732,14 +2728,12 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2761,14 +2755,12 @@ public boolean hasBigqueryDestination() {
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2800,14 +2792,12 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2837,14 +2827,12 @@ public Builder setBigqueryDestination(
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2871,14 +2859,12 @@ public Builder setBigqueryDestination(
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2918,14 +2904,12 @@ public Builder mergeBigqueryDestination(
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2957,14 +2941,12 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2984,14 +2966,12 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -3019,14 +2999,12 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
-     * Only applicable to custom training with tabular Dataset with BigQuery
-     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data is written into that dataset. In the dataset three
-     * tables are created, `training`, `validation` and `test`.
+     * input data will be written into that dataset. In the dataset three
+     * tables will be created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -3205,7 +3183,7 @@ public Builder setDatasetIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Applicable only to Datasets that have DataItems and Annotations.
+     * Only applicable to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3235,7 +3213,7 @@ public java.lang.String getAnnotationsFilter() {
      *
      *
      * <pre>
-     * Applicable only to Datasets that have DataItems and Annotations.
+     * Only applicable to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3265,7 +3243,7 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
      *
      *
      * <pre>
-     * Applicable only to Datasets that have DataItems and Annotations.
+     * Only applicable to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3294,7 +3272,7 @@ public Builder setAnnotationsFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * Applicable only to Datasets that have DataItems and Annotations.
+     * Only applicable to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3319,7 +3297,7 @@ public Builder clearAnnotationsFilter() {
      *
      *
      * <pre>
-     * Applicable only to Datasets that have DataItems and Annotations.
+     * Only applicable to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3351,13 +3329,14 @@ public Builder setAnnotationsFilterBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Applicable only to custom training with Datasets that have DataItems and
-     * Annotations.
-     * Cloud Storage URI that points to a YAML file describing the annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2
-     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * Only applicable to custom training.
+     * Google Cloud Storage URI points to a YAML file describing annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+     * https:
+     * //github.com/OAI/OpenAPI-Specification/b
+     * // lob/master/versions/3.0.2.md#schema-object)
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3388,13 +3367,14 @@ public java.lang.String getAnnotationSchemaUri() {
      *
      *
      * <pre>
-     * Applicable only to custom training with Datasets that have DataItems and
-     * Annotations.
-     * Cloud Storage URI that points to a YAML file describing the annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2
-     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * Only applicable to custom training.
+     * Google Cloud Storage URI points to a YAML file describing annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+     * https:
+     * //github.com/OAI/OpenAPI-Specification/b
+     * // lob/master/versions/3.0.2.md#schema-object)
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3425,13 +3405,14 @@ public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
      *
      *
      * <pre>
-     * Applicable only to custom training with Datasets that have DataItems and
-     * Annotations.
-     * Cloud Storage URI that points to a YAML file describing the annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2
-     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * Only applicable to custom training.
+     * Google Cloud Storage URI points to a YAML file describing annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+     * https:
+     * //github.com/OAI/OpenAPI-Specification/b
+     * // lob/master/versions/3.0.2.md#schema-object)
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3461,13 +3442,14 @@ public Builder setAnnotationSchemaUri(java.lang.String value) {
      *
      *
      * <pre>
-     * Applicable only to custom training with Datasets that have DataItems and
-     * Annotations.
-     * Cloud Storage URI that points to a YAML file describing the annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2
-     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * Only applicable to custom training.
+     * Google Cloud Storage URI points to a YAML file describing annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+     * https:
+     * //github.com/OAI/OpenAPI-Specification/b
+     * // lob/master/versions/3.0.2.md#schema-object)
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3493,13 +3475,14 @@ public Builder clearAnnotationSchemaUri() {
      *
      *
      * <pre>
-     * Applicable only to custom training with Datasets that have DataItems and
-     * Annotations.
-     * Cloud Storage URI that points to a YAML file describing the annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2
-     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+     * Only applicable to custom training.
+     * Google Cloud Storage URI points to a YAML file describing annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+     * https:
+     * //github.com/OAI/OpenAPI-Specification/b
+     * // lob/master/versions/3.0.2.md#schema-object)
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
index 552e4ae07..aff3c1765 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
@@ -173,17 +173,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory is created with
+   * The Google Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory will be created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data is written into that directory.
-   * The AI Platform environment variables representing Cloud Storage
-   * data URIs are represented in the Cloud Storage wildcard
+   * All training input data will be written into that directory.
+   * The AI Platform environment variables representing Google Cloud Storage
+   * data URIs will always be represented in the Google Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI =
+   * * AIP_TRAINING_DATA_URI  =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -200,17 +200,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory is created with
+   * The Google Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory will be created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data is written into that directory.
-   * The AI Platform environment variables representing Cloud Storage
-   * data URIs are represented in the Cloud Storage wildcard
+   * All training input data will be written into that directory.
+   * The AI Platform environment variables representing Google Cloud Storage
+   * data URIs will always be represented in the Google Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI =
+   * * AIP_TRAINING_DATA_URI  =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -227,17 +227,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory is created with
+   * The Google Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory will be created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data is written into that directory.
-   * The AI Platform environment variables representing Cloud Storage
-   * data URIs are represented in the Cloud Storage wildcard
+   * All training input data will be written into that directory.
+   * The AI Platform environment variables representing Google Cloud Storage
+   * data URIs will always be represented in the Google Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI =
+   * * AIP_TRAINING_DATA_URI  =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -253,14 +253,12 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to custom training with tabular Dataset with BigQuery
-   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data is written into that dataset. In the dataset three
-   * tables are created, `training`, `validation` and `test`.
+   * input data will be written into that dataset. In the dataset three
+   * tables will be created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -279,14 +277,12 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to custom training with tabular Dataset with BigQuery
-   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data is written into that dataset. In the dataset three
-   * tables are created, `training`, `validation` and `test`.
+   * input data will be written into that dataset. In the dataset three
+   * tables will be created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -305,14 +301,12 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to custom training with tabular Dataset with BigQuery
-   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data is written into that dataset. In the dataset three
-   * tables are created, `training`, `validation` and `test`.
+   * input data will be written into that dataset. In the dataset three
+   * tables will be created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -368,7 +362,7 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Applicable only to Datasets that have DataItems and Annotations.
+   * Only applicable to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -388,7 +382,7 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Applicable only to Datasets that have DataItems and Annotations.
+   * Only applicable to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -409,13 +403,14 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Applicable only to custom training with Datasets that have DataItems and
-   * Annotations.
-   * Cloud Storage URI that points to a YAML file describing the annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2
-   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * Only applicable to custom training.
+   * Google Cloud Storage URI points to a YAML file describing annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+   * https:
+   * //github.com/OAI/OpenAPI-Specification/b
+   * // lob/master/versions/3.0.2.md#schema-object)
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -436,13 +431,14 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Applicable only to custom training with Datasets that have DataItems and
-   * Annotations.
-   * Cloud Storage URI that points to a YAML file describing the annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2
-   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+   * Only applicable to custom training.
+   * Google Cloud Storage URI points to a YAML file describing annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+   * https:
+   * //github.com/OAI/OpenAPI-Specification/b
+   * // lob/master/versions/3.0.2.md#schema-object)
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
index f90dbd52a..5f182f9f1 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
@@ -142,214 +142,212 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "form/v1beta1/custom_job.proto\0327google/cl"
           + "oud/aiplatform/v1beta1/data_labeling_job"
           + ".proto\032?google/cloud/aiplatform/v1beta1/"
-          + "hyperparameter_tuning_job.proto\032/google/"
-          + "cloud/aiplatform/v1beta1/operation.proto"
-          + "\032#google/longrunning/operations.proto\032\033g"
-          + "oogle/protobuf/empty.proto\032 google/proto"
-          + "buf/field_mask.proto\032\037google/protobuf/ti"
-          + "mestamp.proto\"\230\001\n\026CreateCustomJobRequest"
-          + "\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.goog"
-          + "leapis.com/Location\022C\n\ncustom_job\030\002 \001(\0132"
-          + "*.google.cloud.aiplatform.v1beta1.Custom"
-          + "JobB\003\340A\002\"P\n\023GetCustomJobRequest\0229\n\004name\030"
-          + "\001 \001(\tB+\340A\002\372A%\n#aiplatform.googleapis.com"
-          + "/CustomJob\"\270\001\n\025ListCustomJobsRequest\0229\n\006"
-          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
-          + "is.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_"
-          + "size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_m"
-          + "ask\030\005 \001(\0132\032.google.protobuf.FieldMask\"r\n"
-          + "\026ListCustomJobsResponse\022?\n\013custom_jobs\030\001"
-          + " \003(\0132*.google.cloud.aiplatform.v1beta1.C"
-          + "ustomJob\022\027\n\017next_page_token\030\002 \001(\t\"S\n\026Del"
-          + "eteCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A\002\372A"
-          + "%\n#aiplatform.googleapis.com/CustomJob\"S"
-          + "\n\026CancelCustomJobRequest\0229\n\004name\030\001 \001(\tB+"
-          + "\340A\002\372A%\n#aiplatform.googleapis.com/Custom"
-          + "Job\"\253\001\n\034CreateDataLabelingJobRequest\0229\n\006"
-          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
-          + "is.com/Location\022P\n\021data_labeling_job\030\002 \001"
-          + "(\01320.google.cloud.aiplatform.v1beta1.Dat"
-          + "aLabelingJobB\003\340A\002\"\\\n\031GetDataLabelingJobR"
-          + "equest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatform"
-          + ".googleapis.com/DataLabelingJob\"\320\001\n\033List"
-          + "DataLabelingJobsRequest\0229\n\006parent\030\001 \001(\tB"
+          + "hyperparameter_tuning_job.proto\032#google/"
+          + "longrunning/operations.proto\032\033google/pro"
+          + "tobuf/empty.proto\032 google/protobuf/field"
+          + "_mask.proto\"\230\001\n\026CreateCustomJobRequest\0229"
+          + "\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.google"
+          + "apis.com/Location\022C\n\ncustom_job\030\002 \001(\0132*."
+          + "google.cloud.aiplatform.v1beta1.CustomJo"
+          + "bB\003\340A\002\"P\n\023GetCustomJobRequest\0229\n\004name\030\001 "
+          + "\001(\tB+\340A\002\372A%\n#aiplatform.googleapis.com/C"
+          + "ustomJob\"\270\001\n\025ListCustomJobsRequest\0229\n\006pa"
+          + "rent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleapis"
+          + ".com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_si"
+          + "ze\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_mas"
+          + "k\030\005 \001(\0132\032.google.protobuf.FieldMask\"r\n\026L"
+          + "istCustomJobsResponse\022?\n\013custom_jobs\030\001 \003"
+          + "(\0132*.google.cloud.aiplatform.v1beta1.Cus"
+          + "tomJob\022\027\n\017next_page_token\030\002 \001(\t\"S\n\026Delet"
+          + "eCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A\002\372A%\n"
+          + "#aiplatform.googleapis.com/CustomJob\"S\n\026"
+          + "CancelCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A"
+          + "\002\372A%\n#aiplatform.googleapis.com/CustomJo"
+          + "b\"\253\001\n\034CreateDataLabelingJobRequest\0229\n\006pa"
+          + "rent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleapis"
+          + ".com/Location\022P\n\021data_labeling_job\030\002 \001(\013"
+          + "20.google.cloud.aiplatform.v1beta1.DataL"
+          + "abelingJobB\003\340A\002\"\\\n\031GetDataLabelingJobReq"
+          + "uest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatform.g"
+          + "oogleapis.com/DataLabelingJob\"\320\001\n\033ListDa"
+          + "taLabelingJobsRequest\0229\n\006parent\030\001 \001(\tB)\340"
+          + "A\002\372A#\n!locations.googleapis.com/Location"
+          + "\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\np"
+          + "age_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032.goo"
+          + "gle.protobuf.FieldMask\022\020\n\010order_by\030\006 \001(\t"
+          + "\"\205\001\n\034ListDataLabelingJobsResponse\022L\n\022dat"
+          + "a_labeling_jobs\030\001 \003(\01320.google.cloud.aip"
+          + "latform.v1beta1.DataLabelingJob\022\027\n\017next_"
+          + "page_token\030\002 \001(\t\"_\n\034DeleteDataLabelingJo"
+          + "bRequest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatfo"
+          + "rm.googleapis.com/DataLabelingJob\"_\n\034Can"
+          + "celDataLabelingJobRequest\022?\n\004name\030\001 \001(\tB"
+          + "1\340A\002\372A+\n)aiplatform.googleapis.com/DataL"
+          + "abelingJob\"\303\001\n$CreateHyperparameterTunin"
+          + "gJobRequest\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!loc"
+          + "ations.googleapis.com/Location\022`\n\031hyperp"
+          + "arameter_tuning_job\030\002 \001(\01328.google.cloud"
+          + ".aiplatform.v1beta1.HyperparameterTuning"
+          + "JobB\003\340A\002\"l\n!GetHyperparameterTuningJobRe"
+          + "quest\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform."
+          + "googleapis.com/HyperparameterTuningJob\"\306"
+          + "\001\n#ListHyperparameterTuningJobsRequest\0229"
+          + "\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.google"
+          + "apis.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpag"
+          + "e_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread"
+          + "_mask\030\005 \001(\0132\032.google.protobuf.FieldMask\""
+          + "\235\001\n$ListHyperparameterTuningJobsResponse"
+          + "\022\\\n\032hyperparameter_tuning_jobs\030\001 \003(\01328.g"
+          + "oogle.cloud.aiplatform.v1beta1.Hyperpara"
+          + "meterTuningJob\022\027\n\017next_page_token\030\002 \001(\t\""
+          + "o\n$DeleteHyperparameterTuningJobRequest\022"
+          + "G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.google"
+          + "apis.com/HyperparameterTuningJob\"o\n$Canc"
+          + "elHyperparameterTuningJobRequest\022G\n\004name"
+          + "\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.googleapis.co"
+          + "m/HyperparameterTuningJob\"\264\001\n\037CreateBatc"
+          + "hPredictionJobRequest\0229\n\006parent\030\001 \001(\tB)\340"
+          + "A\002\372A#\n!locations.googleapis.com/Location"
+          + "\022V\n\024batch_prediction_job\030\002 \001(\01323.google."
+          + "cloud.aiplatform.v1beta1.BatchPrediction"
+          + "JobB\003\340A\002\"b\n\034GetBatchPredictionJobRequest"
+          + "\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.googl"
+          + "eapis.com/BatchPredictionJob\"\301\001\n\036ListBat"
+          + "chPredictionJobsRequest\0229\n\006parent\030\001 \001(\tB"
           + ")\340A\002\372A#\n!locations.googleapis.com/Locati"
           + "on\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n"
           + "\npage_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032.g"
-          + "oogle.protobuf.FieldMask\022\020\n\010order_by\030\006 \001"
-          + "(\t\"\205\001\n\034ListDataLabelingJobsResponse\022L\n\022d"
-          + "ata_labeling_jobs\030\001 \003(\01320.google.cloud.a"
-          + "iplatform.v1beta1.DataLabelingJob\022\027\n\017nex"
-          + "t_page_token\030\002 \001(\t\"_\n\034DeleteDataLabeling"
-          + "JobRequest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplat"
-          + "form.googleapis.com/DataLabelingJob\"_\n\034C"
-          + "ancelDataLabelingJobRequest\022?\n\004name\030\001 \001("
-          + "\tB1\340A\002\372A+\n)aiplatform.googleapis.com/Dat"
-          + "aLabelingJob\"\303\001\n$CreateHyperparameterTun"
-          + "ingJobRequest\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!l"
-          + "ocations.googleapis.com/Location\022`\n\031hype"
-          + "rparameter_tuning_job\030\002 \001(\01328.google.clo"
+          + "oogle.protobuf.FieldMask\"\216\001\n\037ListBatchPr"
+          + "edictionJobsResponse\022R\n\025batch_prediction"
+          + "_jobs\030\001 \003(\01323.google.cloud.aiplatform.v1"
+          + "beta1.BatchPredictionJob\022\027\n\017next_page_to"
+          + "ken\030\002 \001(\t\"e\n\037DeleteBatchPredictionJobReq"
+          + "uest\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.g"
+          + "oogleapis.com/BatchPredictionJob\"e\n\037Canc"
+          + "elBatchPredictionJobRequest\022B\n\004name\030\001 \001("
+          + "\tB4\340A\002\372A.\n,aiplatform.googleapis.com/Bat"
+          + "chPredictionJob2\333$\n\nJobService\022\323\001\n\017Creat"
+          + "eCustomJob\0227.google.cloud.aiplatform.v1b"
+          + "eta1.CreateCustomJobRequest\032*.google.clo"
+          + "ud.aiplatform.v1beta1.CustomJob\"[\202\323\344\223\002A\""
+          + "3/v1beta1/{parent=projects/*/locations/*"
+          + "}/customJobs:\ncustom_job\332A\021parent,custom"
+          + "_job\022\264\001\n\014GetCustomJob\0224.google.cloud.aip"
+          + "latform.v1beta1.GetCustomJobRequest\032*.go"
+          + "ogle.cloud.aiplatform.v1beta1.CustomJob\""
+          + "B\202\323\344\223\0025\0223/v1beta1/{name=projects/*/locat"
+          + "ions/*/customJobs/*}\332A\004name\022\307\001\n\016ListCust"
+          + "omJobs\0226.google.cloud.aiplatform.v1beta1"
+          + ".ListCustomJobsRequest\0327.google.cloud.ai"
+          + "platform.v1beta1.ListCustomJobsResponse\""
+          + "D\202\323\344\223\0025\0223/v1beta1/{parent=projects/*/loc"
+          + "ations/*}/customJobs\332A\006parent\022\340\001\n\017Delete"
+          + "CustomJob\0227.google.cloud.aiplatform.v1be"
+          + "ta1.DeleteCustomJobRequest\032\035.google.long"
+          + "running.Operation\"u\202\323\344\223\0025*3/v1beta1/{nam"
+          + "e=projects/*/locations/*/customJobs/*}\332A"
+          + "\004name\312A0\n\025google.protobuf.Empty\022\027DeleteO"
+          + "perationMetadata\022\260\001\n\017CancelCustomJob\0227.g"
+          + "oogle.cloud.aiplatform.v1beta1.CancelCus"
+          + "tomJobRequest\032\026.google.protobuf.Empty\"L\202"
+          + "\323\344\223\002?\":/v1beta1/{name=projects/*/locatio"
+          + "ns/*/customJobs/*}:cancel:\001*\332A\004name\022\371\001\n\025"
+          + "CreateDataLabelingJob\022=.google.cloud.aip"
+          + "latform.v1beta1.CreateDataLabelingJobReq"
+          + "uest\0320.google.cloud.aiplatform.v1beta1.D"
+          + "ataLabelingJob\"o\202\323\344\223\002N\"9/v1beta1/{parent"
+          + "=projects/*/locations/*}/dataLabelingJob"
+          + "s:\021data_labeling_job\332A\030parent,data_label"
+          + "ing_job\022\314\001\n\022GetDataLabelingJob\022:.google."
+          + "cloud.aiplatform.v1beta1.GetDataLabeling"
+          + "JobRequest\0320.google.cloud.aiplatform.v1b"
+          + "eta1.DataLabelingJob\"H\202\323\344\223\002;\0229/v1beta1/{"
+          + "name=projects/*/locations/*/dataLabeling"
+          + "Jobs/*}\332A\004name\022\337\001\n\024ListDataLabelingJobs\022"
+          + "<.google.cloud.aiplatform.v1beta1.ListDa"
+          + "taLabelingJobsRequest\032=.google.cloud.aip"
+          + "latform.v1beta1.ListDataLabelingJobsResp"
+          + "onse\"J\202\323\344\223\002;\0229/v1beta1/{parent=projects/"
+          + "*/locations/*}/dataLabelingJobs\332A\006parent"
+          + "\022\362\001\n\025DeleteDataLabelingJob\022=.google.clou"
+          + "d.aiplatform.v1beta1.DeleteDataLabelingJ"
+          + "obRequest\032\035.google.longrunning.Operation"
+          + "\"{\202\323\344\223\002;*9/v1beta1/{name=projects/*/loca"
+          + "tions/*/dataLabelingJobs/*}\332A\004name\312A0\n\025g"
+          + "oogle.protobuf.Empty\022\027DeleteOperationMet"
+          + "adata\022\302\001\n\025CancelDataLabelingJob\022=.google"
+          + ".cloud.aiplatform.v1beta1.CancelDataLabe"
+          + "lingJobRequest\032\026.google.protobuf.Empty\"R"
+          + "\202\323\344\223\002E\"@/v1beta1/{name=projects/*/locati"
+          + "ons/*/dataLabelingJobs/*}:cancel:\001*\332A\004na"
+          + "me\022\252\002\n\035CreateHyperparameterTuningJob\022E.g"
+          + "oogle.cloud.aiplatform.v1beta1.CreateHyp"
+          + "erparameterTuningJobRequest\0328.google.clo"
           + "ud.aiplatform.v1beta1.HyperparameterTuni"
-          + "ngJobB\003\340A\002\"l\n!GetHyperparameterTuningJob"
-          + "Request\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatfor"
-          + "m.googleapis.com/HyperparameterTuningJob"
-          + "\"\306\001\n#ListHyperparameterTuningJobsRequest"
-          + "\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.goog"
-          + "leapis.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tp"
-          + "age_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tre"
-          + "ad_mask\030\005 \001(\0132\032.google.protobuf.FieldMas"
-          + "k\"\235\001\n$ListHyperparameterTuningJobsRespon"
-          + "se\022\\\n\032hyperparameter_tuning_jobs\030\001 \003(\01328"
-          + ".google.cloud.aiplatform.v1beta1.Hyperpa"
-          + "rameterTuningJob\022\027\n\017next_page_token\030\002 \001("
-          + "\t\"o\n$DeleteHyperparameterTuningJobReques"
-          + "t\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.goog"
-          + "leapis.com/HyperparameterTuningJob\"o\n$Ca"
-          + "ncelHyperparameterTuningJobRequest\022G\n\004na"
-          + "me\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.googleapis."
-          + "com/HyperparameterTuningJob\"\264\001\n\037CreateBa"
-          + "tchPredictionJobRequest\0229\n\006parent\030\001 \001(\tB"
-          + ")\340A\002\372A#\n!locations.googleapis.com/Locati"
-          + "on\022V\n\024batch_prediction_job\030\002 \001(\01323.googl"
-          + "e.cloud.aiplatform.v1beta1.BatchPredicti"
-          + "onJobB\003\340A\002\"b\n\034GetBatchPredictionJobReque"
-          + "st\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.goo"
-          + "gleapis.com/BatchPredictionJob\"\301\001\n\036ListB"
-          + "atchPredictionJobsRequest\0229\n\006parent\030\001 \001("
-          + "\tB)\340A\002\372A#\n!locations.googleapis.com/Loca"
-          + "tion\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022"
-          + "\022\n\npage_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032"
-          + ".google.protobuf.FieldMask\"\216\001\n\037ListBatch"
-          + "PredictionJobsResponse\022R\n\025batch_predicti"
-          + "on_jobs\030\001 \003(\01323.google.cloud.aiplatform."
-          + "v1beta1.BatchPredictionJob\022\027\n\017next_page_"
-          + "token\030\002 \001(\t\"e\n\037DeleteBatchPredictionJobR"
-          + "equest\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform"
-          + ".googleapis.com/BatchPredictionJob\"e\n\037Ca"
-          + "ncelBatchPredictionJobRequest\022B\n\004name\030\001 "
-          + "\001(\tB4\340A\002\372A.\n,aiplatform.googleapis.com/B"
-          + "atchPredictionJob2\333$\n\nJobService\022\323\001\n\017Cre"
-          + "ateCustomJob\0227.google.cloud.aiplatform.v"
-          + "1beta1.CreateCustomJobRequest\032*.google.c"
-          + "loud.aiplatform.v1beta1.CustomJob\"[\202\323\344\223\002"
-          + "A\"3/v1beta1/{parent=projects/*/locations"
-          + "/*}/customJobs:\ncustom_job\332A\021parent,cust"
-          + "om_job\022\264\001\n\014GetCustomJob\0224.google.cloud.a"
-          + "iplatform.v1beta1.GetCustomJobRequest\032*."
-          + "google.cloud.aiplatform.v1beta1.CustomJo"
-          + "b\"B\202\323\344\223\0025\0223/v1beta1/{name=projects/*/loc"
-          + "ations/*/customJobs/*}\332A\004name\022\307\001\n\016ListCu"
-          + "stomJobs\0226.google.cloud.aiplatform.v1bet"
-          + "a1.ListCustomJobsRequest\0327.google.cloud."
-          + "aiplatform.v1beta1.ListCustomJobsRespons"
-          + "e\"D\202\323\344\223\0025\0223/v1beta1/{parent=projects/*/l"
-          + "ocations/*}/customJobs\332A\006parent\022\340\001\n\017Dele"
-          + "teCustomJob\0227.google.cloud.aiplatform.v1"
-          + "beta1.DeleteCustomJobRequest\032\035.google.lo"
-          + "ngrunning.Operation\"u\202\323\344\223\0025*3/v1beta1/{n"
-          + "ame=projects/*/locations/*/customJobs/*}"
-          + "\332A\004name\312A0\n\025google.protobuf.Empty\022\027Delet"
-          + "eOperationMetadata\022\260\001\n\017CancelCustomJob\0227"
-          + ".google.cloud.aiplatform.v1beta1.CancelC"
-          + "ustomJobRequest\032\026.google.protobuf.Empty\""
-          + "L\202\323\344\223\002?\":/v1beta1/{name=projects/*/locat"
-          + "ions/*/customJobs/*}:cancel:\001*\332A\004name\022\371\001"
-          + "\n\025CreateDataLabelingJob\022=.google.cloud.a"
-          + "iplatform.v1beta1.CreateDataLabelingJobR"
-          + "equest\0320.google.cloud.aiplatform.v1beta1"
-          + ".DataLabelingJob\"o\202\323\344\223\002N\"9/v1beta1/{pare"
-          + "nt=projects/*/locations/*}/dataLabelingJ"
-          + "obs:\021data_labeling_job\332A\030parent,data_lab"
-          + "eling_job\022\314\001\n\022GetDataLabelingJob\022:.googl"
-          + "e.cloud.aiplatform.v1beta1.GetDataLabeli"
-          + "ngJobRequest\0320.google.cloud.aiplatform.v"
-          + "1beta1.DataLabelingJob\"H\202\323\344\223\002;\0229/v1beta1"
-          + "/{name=projects/*/locations/*/dataLabeli"
-          + "ngJobs/*}\332A\004name\022\337\001\n\024ListDataLabelingJob"
-          + "s\022<.google.cloud.aiplatform.v1beta1.List"
-          + "DataLabelingJobsRequest\032=.google.cloud.a"
-          + "iplatform.v1beta1.ListDataLabelingJobsRe"
-          + "sponse\"J\202\323\344\223\002;\0229/v1beta1/{parent=project"
-          + "s/*/locations/*}/dataLabelingJobs\332A\006pare"
-          + "nt\022\362\001\n\025DeleteDataLabelingJob\022=.google.cl"
-          + "oud.aiplatform.v1beta1.DeleteDataLabelin"
-          + "gJobRequest\032\035.google.longrunning.Operati"
-          + "on\"{\202\323\344\223\002;*9/v1beta1/{name=projects/*/lo"
-          + "cations/*/dataLabelingJobs/*}\332A\004name\312A0\n"
-          + "\025google.protobuf.Empty\022\027DeleteOperationM"
-          + "etadata\022\302\001\n\025CancelDataLabelingJob\022=.goog"
-          + "le.cloud.aiplatform.v1beta1.CancelDataLa"
-          + "belingJobRequest\032\026.google.protobuf.Empty"
-          + "\"R\202\323\344\223\002E\"@/v1beta1/{name=projects/*/loca"
-          + "tions/*/dataLabelingJobs/*}:cancel:\001*\332A\004"
-          + "name\022\252\002\n\035CreateHyperparameterTuningJob\022E"
-          + ".google.cloud.aiplatform.v1beta1.CreateH"
-          + "yperparameterTuningJobRequest\0328.google.c"
-          + "loud.aiplatform.v1beta1.HyperparameterTu"
-          + "ningJob\"\207\001\202\323\344\223\002^\"A/v1beta1/{parent=proje"
-          + "cts/*/locations/*}/hyperparameterTuningJ"
-          + "obs:\031hyperparameter_tuning_job\332A parent,"
-          + "hyperparameter_tuning_job\022\354\001\n\032GetHyperpa"
-          + "rameterTuningJob\022B.google.cloud.aiplatfo"
-          + "rm.v1beta1.GetHyperparameterTuningJobReq"
-          + "uest\0328.google.cloud.aiplatform.v1beta1.H"
-          + "yperparameterTuningJob\"P\202\323\344\223\002C\022A/v1beta1"
-          + "/{name=projects/*/locations/*/hyperparam"
-          + "eterTuningJobs/*}\332A\004name\022\377\001\n\034ListHyperpa"
-          + "rameterTuningJobs\022D.google.cloud.aiplatf"
-          + "orm.v1beta1.ListHyperparameterTuningJobs"
-          + "Request\032E.google.cloud.aiplatform.v1beta"
-          + "1.ListHyperparameterTuningJobsResponse\"R"
-          + "\202\323\344\223\002C\022A/v1beta1/{parent=projects/*/loca"
-          + "tions/*}/hyperparameterTuningJobs\332A\006pare"
-          + "nt\022\213\002\n\035DeleteHyperparameterTuningJob\022E.g"
-          + "oogle.cloud.aiplatform.v1beta1.DeleteHyp"
-          + "erparameterTuningJobRequest\032\035.google.lon"
-          + "grunning.Operation\"\203\001\202\323\344\223\002C*A/v1beta1/{n"
-          + "ame=projects/*/locations/*/hyperparamete"
-          + "rTuningJobs/*}\332A\004name\312A0\n\025google.protobu"
-          + "f.Empty\022\027DeleteOperationMetadata\022\332\001\n\035Can"
-          + "celHyperparameterTuningJob\022E.google.clou"
-          + "d.aiplatform.v1beta1.CancelHyperparamete"
-          + "rTuningJobRequest\032\026.google.protobuf.Empt"
-          + "y\"Z\202\323\344\223\002M\"H/v1beta1/{name=projects/*/loc"
-          + "ations/*/hyperparameterTuningJobs/*}:can"
-          + "cel:\001*\332A\004name\022\213\002\n\030CreateBatchPredictionJ"
-          + "ob\022@.google.cloud.aiplatform.v1beta1.Cre"
-          + "ateBatchPredictionJobRequest\0323.google.cl"
-          + "oud.aiplatform.v1beta1.BatchPredictionJo"
-          + "b\"x\202\323\344\223\002T\"</v1beta1/{parent=projects/*/l"
-          + "ocations/*}/batchPredictionJobs:\024batch_p"
-          + "rediction_job\332A\033parent,batch_prediction_"
-          + "job\022\330\001\n\025GetBatchPredictionJob\022=.google.c"
-          + "loud.aiplatform.v1beta1.GetBatchPredicti"
-          + "onJobRequest\0323.google.cloud.aiplatform.v"
-          + "1beta1.BatchPredictionJob\"K\202\323\344\223\002>\022</v1be"
-          + "ta1/{name=projects/*/locations/*/batchPr"
-          + "edictionJobs/*}\332A\004name\022\353\001\n\027ListBatchPred"
-          + "ictionJobs\022?.google.cloud.aiplatform.v1b"
-          + "eta1.ListBatchPredictionJobsRequest\032@.go"
-          + "ogle.cloud.aiplatform.v1beta1.ListBatchP"
-          + "redictionJobsResponse\"M\202\323\344\223\002>\022</v1beta1/"
-          + "{parent=projects/*/locations/*}/batchPre"
-          + "dictionJobs\332A\006parent\022\373\001\n\030DeleteBatchPred"
-          + "ictionJob\022@.google.cloud.aiplatform.v1be"
-          + "ta1.DeleteBatchPredictionJobRequest\032\035.go"
-          + "ogle.longrunning.Operation\"~\202\323\344\223\002>*</v1b"
-          + "eta1/{name=projects/*/locations/*/batchP"
-          + "redictionJobs/*}\332A\004name\312A0\n\025google.proto"
-          + "buf.Empty\022\027DeleteOperationMetadata\022\313\001\n\030C"
-          + "ancelBatchPredictionJob\022@.google.cloud.a"
-          + "iplatform.v1beta1.CancelBatchPredictionJ"
-          + "obRequest\032\026.google.protobuf.Empty\"U\202\323\344\223\002"
-          + "H\"C/v1beta1/{name=projects/*/locations/*"
-          + "/batchPredictionJobs/*}:cancel:\001*\332A\004name"
-          + "\032M\312A\031aiplatform.googleapis.com\322A.https:/"
-          + "/www.googleapis.com/auth/cloud-platformB"
-          + "\203\001\n#com.google.cloud.aiplatform.v1beta1B"
-          + "\017JobServiceProtoP\001ZIgoogle.golang.org/ge"
-          + "nproto/googleapis/cloud/aiplatform/v1bet"
-          + "a1;aiplatformb\006proto3"
+          + "ngJob\"\207\001\202\323\344\223\002^\"A/v1beta1/{parent=project"
+          + "s/*/locations/*}/hyperparameterTuningJob"
+          + "s:\031hyperparameter_tuning_job\332A parent,hy"
+          + "perparameter_tuning_job\022\354\001\n\032GetHyperpara"
+          + "meterTuningJob\022B.google.cloud.aiplatform"
+          + ".v1beta1.GetHyperparameterTuningJobReque"
+          + "st\0328.google.cloud.aiplatform.v1beta1.Hyp"
+          + "erparameterTuningJob\"P\202\323\344\223\002C\022A/v1beta1/{"
+          + "name=projects/*/locations/*/hyperparamet"
+          + "erTuningJobs/*}\332A\004name\022\377\001\n\034ListHyperpara"
+          + "meterTuningJobs\022D.google.cloud.aiplatfor"
+          + "m.v1beta1.ListHyperparameterTuningJobsRe"
+          + "quest\032E.google.cloud.aiplatform.v1beta1."
+          + "ListHyperparameterTuningJobsResponse\"R\202\323"
+          + "\344\223\002C\022A/v1beta1/{parent=projects/*/locati"
+          + "ons/*}/hyperparameterTuningJobs\332A\006parent"
+          + "\022\213\002\n\035DeleteHyperparameterTuningJob\022E.goo"
+          + "gle.cloud.aiplatform.v1beta1.DeleteHyper"
+          + "parameterTuningJobRequest\032\035.google.longr"
+          + "unning.Operation\"\203\001\202\323\344\223\002C*A/v1beta1/{nam"
+          + "e=projects/*/locations/*/hyperparameterT"
+          + "uningJobs/*}\332A\004name\312A0\n\025google.protobuf."
+          + "Empty\022\027DeleteOperationMetadata\022\332\001\n\035Cance"
+          + "lHyperparameterTuningJob\022E.google.cloud."
+          + "aiplatform.v1beta1.CancelHyperparameterT"
+          + "uningJobRequest\032\026.google.protobuf.Empty\""
+          + "Z\202\323\344\223\002M\"H/v1beta1/{name=projects/*/locat"
+          + "ions/*/hyperparameterTuningJobs/*}:cance"
+          + "l:\001*\332A\004name\022\213\002\n\030CreateBatchPredictionJob"
+          + "\022@.google.cloud.aiplatform.v1beta1.Creat"
+          + "eBatchPredictionJobRequest\0323.google.clou"
+          + "d.aiplatform.v1beta1.BatchPredictionJob\""
+          + "x\202\323\344\223\002T\"</v1beta1/{parent=projects/*/loc"
+          + "ations/*}/batchPredictionJobs:\024batch_pre"
+          + "diction_job\332A\033parent,batch_prediction_jo"
+          + "b\022\330\001\n\025GetBatchPredictionJob\022=.google.clo"
+          + "ud.aiplatform.v1beta1.GetBatchPrediction"
+          + "JobRequest\0323.google.cloud.aiplatform.v1b"
+          + "eta1.BatchPredictionJob\"K\202\323\344\223\002>\022</v1beta"
+          + "1/{name=projects/*/locations/*/batchPred"
+          + "ictionJobs/*}\332A\004name\022\353\001\n\027ListBatchPredic"
+          + "tionJobs\022?.google.cloud.aiplatform.v1bet"
+          + "a1.ListBatchPredictionJobsRequest\032@.goog"
+          + "le.cloud.aiplatform.v1beta1.ListBatchPre"
+          + "dictionJobsResponse\"M\202\323\344\223\002>\022</v1beta1/{p"
+          + "arent=projects/*/locations/*}/batchPredi"
+          + "ctionJobs\332A\006parent\022\373\001\n\030DeleteBatchPredic"
+          + "tionJob\022@.google.cloud.aiplatform.v1beta"
+          + "1.DeleteBatchPredictionJobRequest\032\035.goog"
+          + "le.longrunning.Operation\"~\202\323\344\223\002>*</v1bet"
+          + "a1/{name=projects/*/locations/*/batchPre"
+          + "dictionJobs/*}\332A\004name\312A0\n\025google.protobu"
+          + "f.Empty\022\027DeleteOperationMetadata\022\313\001\n\030Can"
+          + "celBatchPredictionJob\022@.google.cloud.aip"
+          + "latform.v1beta1.CancelBatchPredictionJob"
+          + "Request\032\026.google.protobuf.Empty\"U\202\323\344\223\002H\""
+          + "C/v1beta1/{name=projects/*/locations/*/b"
+          + "atchPredictionJobs/*}:cancel:\001*\332A\004name\032M"
+          + "\312A\031aiplatform.googleapis.com\322A.https://w"
+          + "ww.googleapis.com/auth/cloud-platformB\203\001"
+          + "\n#com.google.cloud.aiplatform.v1beta1B\017J"
+          + "obServiceProtoP\001ZIgoogle.golang.org/genp"
+          + "roto/googleapis/cloud/aiplatform/v1beta1"
+          + ";aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -363,11 +361,9 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DataLabelingJobProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor(),
               com.google.longrunning.OperationsProto.getDescriptor(),
               com.google.protobuf.EmptyProto.getDescriptor(),
               com.google.protobuf.FieldMaskProto.getDescriptor(),
-              com.google.protobuf.TimestampProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_CreateCustomJobRequest_descriptor =
         getDescriptor().getMessageTypes().get(0);
@@ -580,11 +576,9 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DataLabelingJobProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor();
     com.google.longrunning.OperationsProto.getDescriptor();
     com.google.protobuf.EmptyProto.getDescriptor();
     com.google.protobuf.FieldMaskProto.getDescriptor();
-    com.google.protobuf.TimestampProto.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
index abaf3f278..718f5b265 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
@@ -216,17 +216,7 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * <pre>
-   * An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
-   *   * `display_name`: supports = and !=
-   *   * `metadata_schema_uri`: supports = and !=
-   *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
-   * Some examples:
-   *   * `displayName="myDisplayName"`
-   *   * `labels.myKey="myValue"`
+   * The standard list filter.
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -249,17 +239,7 @@ public java.lang.String getFilter() {
    *
    *
    * <pre>
-   * An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
-   *   * `display_name`: supports = and !=
-   *   * `metadata_schema_uri`: supports = and !=
-   *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
-   * Some examples:
-   *   * `displayName="myDisplayName"`
-   *   * `labels.myKey="myValue"`
+   * The standard list filter.
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -402,7 +382,7 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `create_time`
+   *   * `data_item_count`   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -430,7 +410,7 @@ public java.lang.String getOrderBy() {
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `create_time`
+   *   * `data_item_count`   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -987,17 +967,7 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `display_name`: supports = and !=
-     *   * `metadata_schema_uri`: supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1019,17 +989,7 @@ public java.lang.String getFilter() {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `display_name`: supports = and !=
-     *   * `metadata_schema_uri`: supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1051,17 +1011,7 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `display_name`: supports = and !=
-     *   * `metadata_schema_uri`: supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1082,17 +1032,7 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `display_name`: supports = and !=
-     *   * `metadata_schema_uri`: supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1109,17 +1049,7 @@ public Builder clearFilter() {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `display_name`: supports = and !=
-     *   * `metadata_schema_uri`: supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1484,7 +1414,7 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `create_time`
+     *   * `data_item_count`   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1511,7 +1441,7 @@ public java.lang.String getOrderBy() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `create_time`
+     *   * `data_item_count`   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1538,7 +1468,7 @@ public com.google.protobuf.ByteString getOrderByBytes() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `create_time`
+     *   * `data_item_count`   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1564,7 +1494,7 @@ public Builder setOrderBy(java.lang.String value) {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `create_time`
+     *   * `data_item_count`   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1586,7 +1516,7 @@ public Builder clearOrderBy() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `create_time`
+     *   * `data_item_count`   * `create_time`
      *   * `update_time`
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
index 67015fddf..53573bf34 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
@@ -58,17 +58,7 @@ public interface ListDatasetsRequestOrBuilder
    *
    *
    * <pre>
-   * An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
-   *   * `display_name`: supports = and !=
-   *   * `metadata_schema_uri`: supports = and !=
-   *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
-   * Some examples:
-   *   * `displayName="myDisplayName"`
-   *   * `labels.myKey="myValue"`
+   * The standard list filter.
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -80,17 +70,7 @@ public interface ListDatasetsRequestOrBuilder
    *
    *
    * <pre>
-   * An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
-   *   * `display_name`: supports = and !=
-   *   * `metadata_schema_uri`: supports = and !=
-   *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
-   * Some examples:
-   *   * `displayName="myDisplayName"`
-   *   * `labels.myKey="myValue"`
+   * The standard list filter.
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -180,7 +160,7 @@ public interface ListDatasetsRequestOrBuilder
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `create_time`
+   *   * `data_item_count`   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -197,7 +177,7 @@ public interface ListDatasetsRequestOrBuilder
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `create_time`
+   *   * `data_item_count`   * `create_time`
    *   * `update_time`
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
index e39ebcc74..ff2e69216 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
@@ -211,15 +211,17 @@ public com.google.protobuf.ByteString getParentBytes() {
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports = and, !=
+   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports =, != and regex()
+   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
    *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
+   *             `labels.key=value` - key:value equality
+   *             `labels.key:* or labels:key - key existence
+   *              A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
+   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -246,15 +248,17 @@ public java.lang.String getFilter() {
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports = and, !=
+   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports =, != and regex()
+   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
    *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
+   *             `labels.key=value` - key:value equality
+   *             `labels.key:* or labels:key - key existence
+   *              A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
+   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -920,15 +924,17 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports = and, !=
+     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports =, != and regex()
+     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
      *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
+     *             `labels.key=value` - key:value equality
+     *             `labels.key:* or labels:key - key existence
+     *              A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
+     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -954,15 +960,17 @@ public java.lang.String getFilter() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports = and, !=
+     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports =, != and regex()
+     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
      *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
+     *             `labels.key=value` - key:value equality
+     *             `labels.key:* or labels:key - key existence
+     *              A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
+     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -988,15 +996,17 @@ public com.google.protobuf.ByteString getFilterBytes() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports = and, !=
+     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports =, != and regex()
+     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
      *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
+     *             `labels.key=value` - key:value equality
+     *             `labels.key:* or labels:key - key existence
+     *              A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
+     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -1021,15 +1031,17 @@ public Builder setFilter(java.lang.String value) {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports = and, !=
+     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports =, != and regex()
+     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
      *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
+     *             `labels.key=value` - key:value equality
+     *             `labels.key:* or labels:key - key existence
+     *              A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
+     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -1050,15 +1062,17 @@ public Builder clearFilter() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports = and, !=
+     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports =, != and regex()
+     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
      *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
+     *             `labels.key=value` - key:value equality
+     *             `labels.key:* or labels:key - key existence
+     *              A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
+     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
index 526e58a30..11a5d8957 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
@@ -61,15 +61,17 @@ public interface ListEndpointsRequestOrBuilder
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports = and, !=
+   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports =, != and regex()
+   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
    *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
+   *             `labels.key=value` - key:value equality
+   *             `labels.key:* or labels:key - key existence
+   *              A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
+   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -85,15 +87,17 @@ public interface ListEndpointsRequestOrBuilder
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports = and, !=
+   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports =, != and regex()
+   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
    *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
+   *             `labels.key=value` - key:value equality
+   *             `labels.key:* or labels:key - key existence
+   *              A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
+   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
index f91dd6a21..4378609ba 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
@@ -208,19 +208,7 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * <pre>
-   * An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
-   *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-   *   * `display_name` supports = and !=
-   *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
-   * Some examples:
-   *   * `model=1234`
-   *   * `displayName="myDisplayName"`
-   *   * `labels.myKey="myValue"`
+   * The standard list filter.
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -243,19 +231,7 @@ public java.lang.String getFilter() {
    *
    *
    * <pre>
-   * An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
-   *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-   *   * `display_name` supports = and !=
-   *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
-   * Some examples:
-   *   * `model=1234`
-   *   * `displayName="myDisplayName"`
-   *   * `labels.myKey="myValue"`
+   * The standard list filter.
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -914,19 +890,7 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-     *   * `display_name` supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `model=1234`
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -948,19 +912,7 @@ public java.lang.String getFilter() {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-     *   * `display_name` supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `model=1234`
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -982,19 +934,7 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-     *   * `display_name` supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `model=1234`
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1015,19 +955,7 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-     *   * `display_name` supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `model=1234`
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1044,19 +972,7 @@ public Builder clearFilter() {
      *
      *
      * <pre>
-     * An expression for filtering the results of the request. For field names
-     * both snake_case and camelCase are supported.
-     *   * `model` supports = and !=. `model` represents the Model ID,
-     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-     *   * `display_name` supports = and !=
-     *   * `labels` supports general map functions that is:
-     *     * `labels.key=value` - key:value equality
-     *     * `labels.key:* or labels:key - key existence
-     *     * A key including a space must be quoted. `labels."a key"`.
-     * Some examples:
-     *   * `model=1234`
-     *   * `displayName="myDisplayName"`
-     *   * `labels.myKey="myValue"`
+     * The standard list filter.
      * </pre>
      *
      * <code>string filter = 2;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
index 8b752cb44..b72b77ea2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
@@ -58,19 +58,7 @@ public interface ListModelsRequestOrBuilder
    *
    *
    * <pre>
-   * An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
-   *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-   *   * `display_name` supports = and !=
-   *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
-   * Some examples:
-   *   * `model=1234`
-   *   * `displayName="myDisplayName"`
-   *   * `labels.myKey="myValue"`
+   * The standard list filter.
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -82,19 +70,7 @@ public interface ListModelsRequestOrBuilder
    *
    *
    * <pre>
-   * An expression for filtering the results of the request. For field names
-   * both snake_case and camelCase are supported.
-   *   * `model` supports = and !=. `model` represents the Model ID,
-   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-   *   * `display_name` supports = and !=
-   *   * `labels` supports general map functions that is:
-   *     * `labels.key=value` - key:value equality
-   *     * `labels.key:* or labels:key - key existence
-   *     * A key including a space must be quoted. `labels."a key"`.
-   * Some examples:
-   *   * `model=1234`
-   *   * `displayName="myDisplayName"`
-   *   * `labels.myKey="myValue"`
+   * The standard list filter.
    * </pre>
    *
    * <code>string filter = 2;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
index 1f71333d7..44b16c16c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
@@ -130,12 +130,25 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Immutable. The type of the machine. For the machine types supported for prediction,
-   * see https://tinyurl.com/aip-docs/predictions/machine-types.
-   * For machine types supported for creating a custom training job, see
-   * https://tinyurl.com/aip-docs/training/configure-compute.
-   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine.
+   * Following machine types are supported:
+   * * `n1-standard-2`
+   * * `n1-standard-4`
+   * * `n1-standard-8`
+   * * `n1-standard-16`
+   * * `n1-standard-32`
+   * * `n1-highmem-2`
+   * * `n1-highmem-4`
+   * * `n1-highmem-8`
+   * * `n1-highmem-16`
+   * * `n1-highmem-32`
+   * * `n1-highcpu-2`
+   * * `n1-highcpu-4`
+   * * `n1-highcpu-8`
+   * * `n1-highcpu-16`
+   * * `n1-highcpu-32`
+   * When used for [DeployedMode][] this field is optional and the default value
+   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -159,12 +172,25 @@ public java.lang.String getMachineType() {
    *
    *
    * <pre>
-   * Immutable. The type of the machine. For the machine types supported for prediction,
-   * see https://tinyurl.com/aip-docs/predictions/machine-types.
-   * For machine types supported for creating a custom training job, see
-   * https://tinyurl.com/aip-docs/training/configure-compute.
-   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine.
+   * Following machine types are supported:
+   * * `n1-standard-2`
+   * * `n1-standard-4`
+   * * `n1-standard-8`
+   * * `n1-standard-16`
+   * * `n1-standard-32`
+   * * `n1-highmem-2`
+   * * `n1-highmem-4`
+   * * `n1-highmem-8`
+   * * `n1-highmem-16`
+   * * `n1-highmem-32`
+   * * `n1-highcpu-2`
+   * * `n1-highcpu-4`
+   * * `n1-highcpu-8`
+   * * `n1-highcpu-16`
+   * * `n1-highcpu-32`
+   * When used for [DeployedMode][] this field is optional and the default value
+   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -603,12 +629,25 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Immutable. The type of the machine. For the machine types supported for prediction,
-     * see https://tinyurl.com/aip-docs/predictions/machine-types.
-     * For machine types supported for creating a custom training job, see
-     * https://tinyurl.com/aip-docs/training/configure-compute.
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine.
+     * Following machine types are supported:
+     * * `n1-standard-2`
+     * * `n1-standard-4`
+     * * `n1-standard-8`
+     * * `n1-standard-16`
+     * * `n1-standard-32`
+     * * `n1-highmem-2`
+     * * `n1-highmem-4`
+     * * `n1-highmem-8`
+     * * `n1-highmem-16`
+     * * `n1-highmem-32`
+     * * `n1-highcpu-2`
+     * * `n1-highcpu-4`
+     * * `n1-highcpu-8`
+     * * `n1-highcpu-16`
+     * * `n1-highcpu-32`
+     * When used for [DeployedMode][] this field is optional and the default value
+     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -631,12 +670,25 @@ public java.lang.String getMachineType() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine. For the machine types supported for prediction,
-     * see https://tinyurl.com/aip-docs/predictions/machine-types.
-     * For machine types supported for creating a custom training job, see
-     * https://tinyurl.com/aip-docs/training/configure-compute.
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine.
+     * Following machine types are supported:
+     * * `n1-standard-2`
+     * * `n1-standard-4`
+     * * `n1-standard-8`
+     * * `n1-standard-16`
+     * * `n1-standard-32`
+     * * `n1-highmem-2`
+     * * `n1-highmem-4`
+     * * `n1-highmem-8`
+     * * `n1-highmem-16`
+     * * `n1-highmem-32`
+     * * `n1-highcpu-2`
+     * * `n1-highcpu-4`
+     * * `n1-highcpu-8`
+     * * `n1-highcpu-16`
+     * * `n1-highcpu-32`
+     * When used for [DeployedMode][] this field is optional and the default value
+     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -659,12 +711,25 @@ public com.google.protobuf.ByteString getMachineTypeBytes() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine. For the machine types supported for prediction,
-     * see https://tinyurl.com/aip-docs/predictions/machine-types.
-     * For machine types supported for creating a custom training job, see
-     * https://tinyurl.com/aip-docs/training/configure-compute.
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine.
+     * Following machine types are supported:
+     * * `n1-standard-2`
+     * * `n1-standard-4`
+     * * `n1-standard-8`
+     * * `n1-standard-16`
+     * * `n1-standard-32`
+     * * `n1-highmem-2`
+     * * `n1-highmem-4`
+     * * `n1-highmem-8`
+     * * `n1-highmem-16`
+     * * `n1-highmem-32`
+     * * `n1-highcpu-2`
+     * * `n1-highcpu-4`
+     * * `n1-highcpu-8`
+     * * `n1-highcpu-16`
+     * * `n1-highcpu-32`
+     * When used for [DeployedMode][] this field is optional and the default value
+     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -686,12 +751,25 @@ public Builder setMachineType(java.lang.String value) {
      *
      *
      * <pre>
-     * Immutable. The type of the machine. For the machine types supported for prediction,
-     * see https://tinyurl.com/aip-docs/predictions/machine-types.
-     * For machine types supported for creating a custom training job, see
-     * https://tinyurl.com/aip-docs/training/configure-compute.
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine.
+     * Following machine types are supported:
+     * * `n1-standard-2`
+     * * `n1-standard-4`
+     * * `n1-standard-8`
+     * * `n1-standard-16`
+     * * `n1-standard-32`
+     * * `n1-highmem-2`
+     * * `n1-highmem-4`
+     * * `n1-highmem-8`
+     * * `n1-highmem-16`
+     * * `n1-highmem-32`
+     * * `n1-highcpu-2`
+     * * `n1-highcpu-4`
+     * * `n1-highcpu-8`
+     * * `n1-highcpu-16`
+     * * `n1-highcpu-32`
+     * When used for [DeployedMode][] this field is optional and the default value
+     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -709,12 +787,25 @@ public Builder clearMachineType() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine. For the machine types supported for prediction,
-     * see https://tinyurl.com/aip-docs/predictions/machine-types.
-     * For machine types supported for creating a custom training job, see
-     * https://tinyurl.com/aip-docs/training/configure-compute.
-     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine.
+     * Following machine types are supported:
+     * * `n1-standard-2`
+     * * `n1-standard-4`
+     * * `n1-standard-8`
+     * * `n1-standard-16`
+     * * `n1-standard-32`
+     * * `n1-highmem-2`
+     * * `n1-highmem-4`
+     * * `n1-highmem-8`
+     * * `n1-highmem-16`
+     * * `n1-highmem-32`
+     * * `n1-highcpu-2`
+     * * `n1-highcpu-4`
+     * * `n1-highcpu-8`
+     * * `n1-highcpu-16`
+     * * `n1-highcpu-32`
+     * When used for [DeployedMode][] this field is optional and the default value
+     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
index 43a7bc1d7..854e04550 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
@@ -27,12 +27,25 @@ public interface MachineSpecOrBuilder
    *
    *
    * <pre>
-   * Immutable. The type of the machine. For the machine types supported for prediction,
-   * see https://tinyurl.com/aip-docs/predictions/machine-types.
-   * For machine types supported for creating a custom training job, see
-   * https://tinyurl.com/aip-docs/training/configure-compute.
-   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine.
+   * Following machine types are supported:
+   * * `n1-standard-2`
+   * * `n1-standard-4`
+   * * `n1-standard-8`
+   * * `n1-standard-16`
+   * * `n1-standard-32`
+   * * `n1-highmem-2`
+   * * `n1-highmem-4`
+   * * `n1-highmem-8`
+   * * `n1-highmem-16`
+   * * `n1-highmem-32`
+   * * `n1-highcpu-2`
+   * * `n1-highcpu-4`
+   * * `n1-highcpu-8`
+   * * `n1-highcpu-16`
+   * * `n1-highcpu-32`
+   * When used for [DeployedMode][] this field is optional and the default value
+   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -45,12 +58,25 @@ public interface MachineSpecOrBuilder
    *
    *
    * <pre>
-   * Immutable. The type of the machine. For the machine types supported for prediction,
-   * see https://tinyurl.com/aip-docs/predictions/machine-types.
-   * For machine types supported for creating a custom training job, see
-   * https://tinyurl.com/aip-docs/training/configure-compute.
-   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine.
+   * Following machine types are supported:
+   * * `n1-standard-2`
+   * * `n1-standard-4`
+   * * `n1-standard-8`
+   * * `n1-standard-16`
+   * * `n1-standard-32`
+   * * `n1-highmem-2`
+   * * `n1-highmem-4`
+   * * `n1-highmem-8`
+   * * `n1-highmem-16`
+   * * `n1-highmem-32`
+   * * `n1-highcpu-2`
+   * * `n1-highcpu-4`
+   * * `n1-highcpu-8`
+   * * `n1-highcpu-16`
+   * * `n1-highcpu-32`
+   * When used for [DeployedMode][] this field is optional and the default value
+   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
index 81177ae42..787ef260e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
@@ -75,10 +75,6 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable;
-  static final com.google.protobuf.Descriptors.Descriptor
-      internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
-  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -99,97 +95,86 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "rm/v1beta1/migratable_resource.proto\032/go"
           + "ogle/cloud/aiplatform/v1beta1/operation."
           + "proto\032#google/longrunning/operations.pro"
-          + "to\032\027google/rpc/status.proto\"\224\001\n SearchMi"
-          + "gratableResourcesRequest\0229\n\006parent\030\001 \001(\t"
-          + "B)\340A\002\372A#\n!locations.googleapis.com/Locat"
-          + "ion\022\021\n\tpage_size\030\002 \001(\005\022\022\n\npage_token\030\003 \001"
-          + "(\t\022\016\n\006filter\030\004 \001(\t\"\217\001\n!SearchMigratableR"
-          + "esourcesResponse\022Q\n\024migratable_resources"
-          + "\030\001 \003(\01323.google.cloud.aiplatform.v1beta1"
-          + ".MigratableResource\022\027\n\017next_page_token\030\002"
-          + " \001(\t\"\272\001\n\034BatchMigrateResourcesRequest\0229\n"
-          + "\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googlea"
-          + "pis.com/Location\022_\n\031migrate_resource_req"
-          + "uests\030\002 \003(\01327.google.cloud.aiplatform.v1"
-          + "beta1.MigrateResourceRequestB\003\340A\002\"\374\n\n\026Mi"
-          + "grateResourceRequest\022\213\001\n&migrate_ml_engi"
-          + "ne_model_version_config\030\001 \001(\0132Y.google.c"
-          + "loud.aiplatform.v1beta1.MigrateResourceR"
-          + "equest.MigrateMlEngineModelVersionConfig"
-          + "H\000\022w\n\033migrate_automl_model_config\030\002 \001(\0132"
-          + "P.google.cloud.aiplatform.v1beta1.Migrat"
-          + "eResourceRequest.MigrateAutomlModelConfi"
-          + "gH\000\022{\n\035migrate_automl_dataset_config\030\003 \001"
-          + "(\0132R.google.cloud.aiplatform.v1beta1.Mig"
-          + "rateResourceRequest.MigrateAutomlDataset"
-          + "ConfigH\000\022\210\001\n$migrate_data_labeling_datas"
-          + "et_config\030\004 \001(\0132X.google.cloud.aiplatfor"
-          + "m.v1beta1.MigrateResourceRequest.Migrate"
-          + "DataLabelingDatasetConfigH\000\032\225\001\n!MigrateM"
-          + "lEngineModelVersionConfig\022\025\n\010endpoint\030\001 "
-          + "\001(\tB\003\340A\002\0228\n\rmodel_version\030\002 \001(\tB!\340A\002\372A\033\n"
-          + "\031ml.googleapis.com/Version\022\037\n\022model_disp"
-          + "lay_name\030\003 \001(\tB\003\340A\002\032o\n\030MigrateAutomlMode"
-          + "lConfig\0222\n\005model\030\001 \001(\tB#\340A\002\372A\035\n\033automl.g"
-          + "oogleapis.com/Model\022\037\n\022model_display_nam"
-          + "e\030\002 \001(\tB\003\340A\001\032w\n\032MigrateAutomlDatasetConf"
-          + "ig\0226\n\007dataset\030\001 \001(\tB%\340A\002\372A\037\n\035automl.goog"
-          + "leapis.com/Dataset\022!\n\024dataset_display_na"
-          + "me\030\002 \001(\tB\003\340A\002\032\305\003\n MigrateDataLabelingDat"
-          + "asetConfig\022<\n\007dataset\030\001 \001(\tB+\340A\002\372A%\n#dat"
-          + "alabeling.googleapis.com/Dataset\022!\n\024data"
-          + "set_display_name\030\002 \001(\tB\003\340A\001\022\301\001\n/migrate_"
-          + "data_labeling_annotated_dataset_configs\030"
-          + "\003 \003(\0132\202\001.google.cloud.aiplatform.v1beta1"
-          + ".MigrateResourceRequest.MigrateDataLabel"
-          + "ingDatasetConfig.MigrateDataLabelingAnno"
-          + "tatedDatasetConfigB\003\340A\001\032|\n)MigrateDataLa"
-          + "belingAnnotatedDatasetConfig\022O\n\021annotate"
-          + "d_dataset\030\001 \001(\tB4\340A\002\372A.\n,datalabeling.go"
-          + "ogleapis.com/AnnotatedDatasetB\t\n\007request"
-          + "\"}\n\035BatchMigrateResourcesResponse\022\\\n\032mig"
-          + "rate_resource_responses\030\001 \003(\01328.google.c"
-          + "loud.aiplatform.v1beta1.MigrateResourceR"
-          + "esponse\"\362\001\n\027MigrateResourceResponse\0229\n\007d"
-          + "ataset\030\001 \001(\tB&\372A#\n!aiplatform.googleapis"
-          + ".com/DatasetH\000\0225\n\005model\030\002 \001(\tB$\372A!\n\037aipl"
-          + "atform.googleapis.com/ModelH\000\022P\n\023migrata"
-          + "ble_resource\030\003 \001(\01323.google.cloud.aiplat"
-          + "form.v1beta1.MigratableResourceB\023\n\021migra"
-          + "ted_resource\"\352\003\n&BatchMigrateResourcesOp"
-          + "erationMetadata\022S\n\020generic_metadata\030\001 \001("
-          + "\01329.google.cloud.aiplatform.v1beta1.Gene"
-          + "ricOperationMetadata\022n\n\017partial_results\030"
-          + "\002 \003(\0132U.google.cloud.aiplatform.v1beta1."
-          + "BatchMigrateResourcesOperationMetadata.P"
-          + "artialResult\032\372\001\n\rPartialResult\022#\n\005error\030"
-          + "\002 \001(\0132\022.google.rpc.StatusH\000\0225\n\005model\030\003 \001"
-          + "(\tB$\372A!\n\037aiplatform.googleapis.com/Model"
-          + "H\000\0229\n\007dataset\030\004 \001(\tB&\372A#\n!aiplatform.goo"
-          + "gleapis.com/DatasetH\000\022H\n\007request\030\001 \001(\01327"
+          + "to\"\204\001\n SearchMigratableResourcesRequest\022"
+          + "9\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googl"
+          + "eapis.com/Location\022\021\n\tpage_size\030\002 \001(\005\022\022\n"
+          + "\npage_token\030\003 \001(\t\"\217\001\n!SearchMigratableRe"
+          + "sourcesResponse\022Q\n\024migratable_resources\030"
+          + "\001 \003(\01323.google.cloud.aiplatform.v1beta1."
+          + "MigratableResource\022\027\n\017next_page_token\030\002 "
+          + "\001(\t\"\272\001\n\034BatchMigrateResourcesRequest\0229\n\006"
+          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
+          + "is.com/Location\022_\n\031migrate_resource_requ"
+          + "ests\030\002 \003(\01327.google.cloud.aiplatform.v1b"
+          + "eta1.MigrateResourceRequestB\003\340A\002\"\374\n\n\026Mig"
+          + "rateResourceRequest\022\213\001\n&migrate_ml_engin"
+          + "e_model_version_config\030\001 \001(\0132Y.google.cl"
+          + "oud.aiplatform.v1beta1.MigrateResourceRe"
+          + "quest.MigrateMlEngineModelVersionConfigH"
+          + "\000\022w\n\033migrate_automl_model_config\030\002 \001(\0132P"
           + ".google.cloud.aiplatform.v1beta1.Migrate"
-          + "ResourceRequestB\010\n\006result2\233\005\n\020MigrationS"
-          + "ervice\022\373\001\n\031SearchMigratableResources\022A.g"
-          + "oogle.cloud.aiplatform.v1beta1.SearchMig"
-          + "ratableResourcesRequest\032B.google.cloud.a"
-          + "iplatform.v1beta1.SearchMigratableResour"
-          + "cesResponse\"W\202\323\344\223\002H\"C/v1beta1/{parent=pr"
-          + "ojects/*/locations/*}/migratableResource"
-          + "s:search:\001*\332A\006parent\022\271\002\n\025BatchMigrateRes"
-          + "ources\022=.google.cloud.aiplatform.v1beta1"
-          + ".BatchMigrateResourcesRequest\032\035.google.l"
-          + "ongrunning.Operation\"\301\001\202\323\344\223\002N\"I/v1beta1/"
-          + "{parent=projects/*/locations/*}/migratab"
-          + "leResources:batchMigrate:\001*\332A parent,mig"
-          + "rate_resource_requests\312AG\n\035BatchMigrateR"
-          + "esourcesResponse\022&BatchMigrateResourcesO"
-          + "perationMetadata\032M\312A\031aiplatform.googleap"
-          + "is.com\322A.https://www.googleapis.com/auth"
-          + "/cloud-platformB\211\001\n#com.google.cloud.aip"
-          + "latform.v1beta1B\025MigrationServiceProtoP\001"
-          + "ZIgoogle.golang.org/genproto/googleapis/"
-          + "cloud/aiplatform/v1beta1;aiplatformb\006pro"
-          + "to3"
+          + "ResourceRequest.MigrateAutomlModelConfig"
+          + "H\000\022{\n\035migrate_automl_dataset_config\030\003 \001("
+          + "\0132R.google.cloud.aiplatform.v1beta1.Migr"
+          + "ateResourceRequest.MigrateAutomlDatasetC"
+          + "onfigH\000\022\210\001\n$migrate_data_labeling_datase"
+          + "t_config\030\004 \001(\0132X.google.cloud.aiplatform"
+          + ".v1beta1.MigrateResourceRequest.MigrateD"
+          + "ataLabelingDatasetConfigH\000\032\225\001\n!MigrateMl"
+          + "EngineModelVersionConfig\022\025\n\010endpoint\030\001 \001"
+          + "(\tB\003\340A\002\0228\n\rmodel_version\030\002 \001(\tB!\340A\002\372A\033\n\031"
+          + "ml.googleapis.com/Version\022\037\n\022model_displ"
+          + "ay_name\030\003 \001(\tB\003\340A\002\032o\n\030MigrateAutomlModel"
+          + "Config\0222\n\005model\030\001 \001(\tB#\340A\002\372A\035\n\033automl.go"
+          + "ogleapis.com/Model\022\037\n\022model_display_name"
+          + "\030\002 \001(\tB\003\340A\001\032w\n\032MigrateAutomlDatasetConfi"
+          + "g\0226\n\007dataset\030\001 \001(\tB%\340A\002\372A\037\n\035automl.googl"
+          + "eapis.com/Dataset\022!\n\024dataset_display_nam"
+          + "e\030\002 \001(\tB\003\340A\002\032\305\003\n MigrateDataLabelingData"
+          + "setConfig\022<\n\007dataset\030\001 \001(\tB+\340A\002\372A%\n#data"
+          + "labeling.googleapis.com/Dataset\022!\n\024datas"
+          + "et_display_name\030\002 \001(\tB\003\340A\001\022\301\001\n/migrate_d"
+          + "ata_labeling_annotated_dataset_configs\030\003"
+          + " \003(\0132\202\001.google.cloud.aiplatform.v1beta1."
+          + "MigrateResourceRequest.MigrateDataLabeli"
+          + "ngDatasetConfig.MigrateDataLabelingAnnot"
+          + "atedDatasetConfigB\003\340A\001\032|\n)MigrateDataLab"
+          + "elingAnnotatedDatasetConfig\022O\n\021annotated"
+          + "_dataset\030\001 \001(\tB4\340A\002\372A.\n,datalabeling.goo"
+          + "gleapis.com/AnnotatedDatasetB\t\n\007request\""
+          + "}\n\035BatchMigrateResourcesResponse\022\\\n\032migr"
+          + "ate_resource_responses\030\001 \003(\01328.google.cl"
+          + "oud.aiplatform.v1beta1.MigrateResourceRe"
+          + "sponse\"\362\001\n\027MigrateResourceResponse\0229\n\007da"
+          + "taset\030\001 \001(\tB&\372A#\n!aiplatform.googleapis."
+          + "com/DatasetH\000\0225\n\005model\030\002 \001(\tB$\372A!\n\037aipla"
+          + "tform.googleapis.com/ModelH\000\022P\n\023migratab"
+          + "le_resource\030\003 \001(\01323.google.cloud.aiplatf"
+          + "orm.v1beta1.MigratableResourceB\023\n\021migrat"
+          + "ed_resource\"}\n&BatchMigrateResourcesOper"
+          + "ationMetadata\022S\n\020generic_metadata\030\001 \001(\0132"
+          + "9.google.cloud.aiplatform.v1beta1.Generi"
+          + "cOperationMetadata2\233\005\n\020MigrationService\022"
+          + "\373\001\n\031SearchMigratableResources\022A.google.c"
+          + "loud.aiplatform.v1beta1.SearchMigratable"
+          + "ResourcesRequest\032B.google.cloud.aiplatfo"
+          + "rm.v1beta1.SearchMigratableResourcesResp"
+          + "onse\"W\202\323\344\223\002H\"C/v1beta1/{parent=projects/"
+          + "*/locations/*}/migratableResources:searc"
+          + "h:\001*\332A\006parent\022\271\002\n\025BatchMigrateResources\022"
+          + "=.google.cloud.aiplatform.v1beta1.BatchM"
+          + "igrateResourcesRequest\032\035.google.longrunn"
+          + "ing.Operation\"\301\001\202\323\344\223\002N\"I/v1beta1/{parent"
+          + "=projects/*/locations/*}/migratableResou"
+          + "rces:batchMigrate:\001*\332A parent,migrate_re"
+          + "source_requests\312AG\n\035BatchMigrateResource"
+          + "sResponse\022&BatchMigrateResourcesOperatio"
+          + "nMetadata\032M\312A\031aiplatform.googleapis.com\322"
+          + "A.https://www.googleapis.com/auth/cloud-"
+          + "platformB\211\001\n#com.google.cloud.aiplatform"
+          + ".v1beta1B\025MigrationServiceProtoP\001ZIgoogl"
+          + "e.golang.org/genproto/googleapis/cloud/a"
+          + "iplatform/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -204,7 +189,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.cloud.aiplatform.v1beta1.MigratableResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor(),
               com.google.longrunning.OperationsProto.getDescriptor(),
-              com.google.rpc.StatusProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesRequest_descriptor =
         getDescriptor().getMessageTypes().get(0);
@@ -212,7 +196,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesRequest_descriptor,
             new java.lang.String[] {
-              "Parent", "PageSize", "PageToken", "Filter",
+              "Parent", "PageSize", "PageToken",
             });
     internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesResponse_descriptor =
         getDescriptor().getMessageTypes().get(1);
@@ -314,17 +298,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor,
             new java.lang.String[] {
-              "GenericMetadata", "PartialResults",
-            });
-    internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor =
-        internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor
-            .getNestedTypes()
-            .get(0);
-    internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable =
-        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
-            internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor,
-            new java.lang.String[] {
-              "Error", "Model", "Dataset", "Request", "Result",
+              "GenericMetadata",
             });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
@@ -346,7 +320,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.cloud.aiplatform.v1beta1.MigratableResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor();
     com.google.longrunning.OperationsProto.getDescriptor();
-    com.google.rpc.StatusProto.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
index e7fcfc7af..14d76fee0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
@@ -302,23 +302,6 @@ private Model(
                 explanationSpec_ = subBuilder.buildPartial();
               }
 
-              break;
-            }
-          case 194:
-            {
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
-              if (encryptionSpec_ != null) {
-                subBuilder = encryptionSpec_.toBuilder();
-              }
-              encryptionSpec_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(encryptionSpec_);
-                encryptionSpec_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           case 210:
@@ -2807,10 +2790,6 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-   * * `file-list`
-   * Each line of the file is the location of an instance to process, uses
-   * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2852,10 +2831,6 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-   * * `file-list`
-   * Each line of the file is the location of an instance to process, uses
-   * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2897,10 +2872,6 @@ public int getSupportedInputStorageFormatsCount() {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-   * * `file-list`
-   * Each line of the file is the location of an instance to process, uses
-   * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2943,10 +2914,6 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-   * * `file-list`
-   * Each line of the file is the location of an instance to process, uses
-   * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -3320,20 +3287,19 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployed
    *
    *
    * <pre>
-   * The default explanation specification for this Model.
-   * The Model can be used for [requesting
-   * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-   * The Model can be used for [batch
-   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+   * Output only. The default explanation specification for this Model.
+   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+   * This field is populated only for tabular AutoML Models.
+   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
    *
    * @return Whether the explanationSpec field is set.
    */
@@ -3345,20 +3311,19 @@ public boolean hasExplanationSpec() {
    *
    *
    * <pre>
-   * The default explanation specification for this Model.
-   * The Model can be used for [requesting
-   * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-   * The Model can be used for [batch
-   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+   * Output only. The default explanation specification for this Model.
+   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+   * This field is populated only for tabular AutoML Models.
+   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
    *
    * @return The explanationSpec.
    */
@@ -3372,20 +3337,19 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    *
    *
    * <pre>
-   * The default explanation specification for this Model.
-   * The Model can be used for [requesting
-   * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-   * The Model can be used for [batch
-   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+   * Output only. The default explanation specification for this Model.
+   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+   * This field is populated only for tabular AutoML Models.
+   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
    */
   @java.lang.Override
   public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
@@ -3558,57 +3522,6 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
-  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 24;
-  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Model. If set, this
-   * Model and all sub-resources of this Model will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  @java.lang.Override
-  public boolean hasEncryptionSpec() {
-    return encryptionSpec_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Model. If set, this
-   * Model and all sub-resources of this Model will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-    return encryptionSpec_ == null
-        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-        : encryptionSpec_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Model. If set, this
-   * Model and all sub-resources of this Model will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
-    return getEncryptionSpec();
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -3683,9 +3596,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (explanationSpec_ != null) {
       output.writeMessage(23, getExplanationSpec());
     }
-    if (encryptionSpec_ != null) {
-      output.writeMessage(24, getEncryptionSpec());
-    }
     if (!getArtifactUriBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 26, artifactUri_);
     }
@@ -3782,9 +3692,6 @@ public int getSerializedSize() {
     if (explanationSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(23, getExplanationSpec());
     }
-    if (encryptionSpec_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(24, getEncryptionSpec());
-    }
     if (!getArtifactUriBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(26, artifactUri_);
     }
@@ -3845,10 +3752,6 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!getEtag().equals(other.getEtag())) return false;
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
-    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
-    if (hasEncryptionSpec()) {
-      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
-    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -3922,10 +3825,6 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
-    if (hasEncryptionSpec()) {
-      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
-      hash = (53 * hash) + getEncryptionSpec().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -4163,12 +4062,6 @@ public Builder clear() {
       etag_ = "";
 
       internalGetMutableLabels().clear();
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
       return this;
     }
 
@@ -4270,11 +4163,6 @@ public com.google.cloud.aiplatform.v1beta1.Model buildPartial() {
       result.etag_ = etag_;
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
-      if (encryptionSpecBuilder_ == null) {
-        result.encryptionSpec_ = encryptionSpec_;
-      } else {
-        result.encryptionSpec_ = encryptionSpecBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -4455,9 +4343,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Model other) {
         onChanged();
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
-      if (other.hasEncryptionSpec()) {
-        mergeEncryptionSpec(other.getEncryptionSpec());
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -6679,10 +6564,6 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6724,10 +6605,6 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6769,10 +6646,6 @@ public int getSupportedInputStorageFormatsCount() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6815,10 +6688,6 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6861,10 +6730,6 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6914,10 +6779,6 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6966,10 +6827,6 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -7015,10 +6872,6 @@ public Builder addAllSupportedInputStorageFormats(java.lang.Iterable<java.lang.S
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -7063,10 +6916,6 @@ public Builder clearSupportedInputStorageFormats() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-     * * `file-list`
-     * Each line of the file is the location of an instance to process, uses
-     * `gcs_source` field of the
-     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -8325,20 +8174,19 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef.Builder addDeployedM
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      *
      * @return Whether the explanationSpec field is set.
      */
@@ -8349,20 +8197,19 @@ public boolean hasExplanationSpec() {
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      *
      * @return The explanationSpec.
      */
@@ -8379,20 +8226,19 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      */
     public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
       if (explanationSpecBuilder_ == null) {
@@ -8411,20 +8257,19 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      */
     public Builder setExplanationSpec(
         com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder builderForValue) {
@@ -8441,20 +8286,19 @@ public Builder setExplanationSpec(
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      */
     public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
       if (explanationSpecBuilder_ == null) {
@@ -8477,20 +8321,19 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      */
     public Builder clearExplanationSpec() {
       if (explanationSpecBuilder_ == null) {
@@ -8507,20 +8350,19 @@ public Builder clearExplanationSpec() {
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      */
     public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanationSpecBuilder() {
 
@@ -8531,20 +8373,19 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      */
     public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
         getExplanationSpecOrBuilder() {
@@ -8560,20 +8401,19 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * The default explanation specification for this Model.
-     * The Model can be used for [requesting
-     * explanation][PredictionService.Explain] after being
-     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-     * The Model can be used for [batch
-     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+     * Output only. The default explanation specification for this Model.
+     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+     * This field is populated only for tabular AutoML Models.
+     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
      * </pre>
      *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
      */
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
@@ -8888,202 +8728,6 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        encryptionSpecBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     *
-     * @return Whether the encryptionSpec field is set.
-     */
-    public boolean hasEncryptionSpec() {
-      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     *
-     * @return The encryptionSpec.
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      } else {
-        return encryptionSpecBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        encryptionSpec_ = value;
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public Builder setEncryptionSpec(
-        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = builderForValue.build();
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (encryptionSpec_ != null) {
-          encryptionSpec_ =
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          encryptionSpec_ = value;
-        }
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public Builder clearEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-        onChanged();
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
-
-      onChanged();
-      return getEncryptionSpecFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
-        getEncryptionSpecOrBuilder() {
-      if (encryptionSpecBuilder_ != null) {
-        return encryptionSpecBuilder_.getMessageOrBuilder();
-      } else {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a Model. If set, this
-     * Model and all sub-resources of this Model will be secured by this key.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        getEncryptionSpecFieldBuilder() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpecBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
-                getEncryptionSpec(), getParentForChildren(), isClean());
-        encryptionSpec_ = null;
-      }
-      return encryptionSpecBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
index 0f8cd2ff7..3db576bb5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
@@ -981,8 +981,9 @@ public com.google.cloud.aiplatform.v1beta1.PortOrBuilder getPortsOrBuilder(int i
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the `/foo` path on the port of your container specified by the
-   * first value of this `ModelContainerSpec`'s
+   * request to the following URL on the container:
+   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1027,8 +1028,9 @@ public java.lang.String getPredictRoute() {
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the `/foo` path on the port of your container specified by the
-   * first value of this `ModelContainerSpec`'s
+   * request to the following URL on the container:
+   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1075,8 +1077,9 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the `/bar` path on the port of your
-   * container specified by the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the following URL on the container:
+   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1120,8 +1123,9 @@ public java.lang.String getHealthRoute() {
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the `/bar` path on the port of your
-   * container specified by the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the following URL on the container:
+   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4179,8 +4183,9 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Port.Builder> getPorts
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the `/foo` path on the port of your container specified by the
-     * first value of this `ModelContainerSpec`'s
+     * request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4224,8 +4229,9 @@ public java.lang.String getPredictRoute() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the `/foo` path on the port of your container specified by the
-     * first value of this `ModelContainerSpec`'s
+     * request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4269,8 +4275,9 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the `/foo` path on the port of your container specified by the
-     * first value of this `ModelContainerSpec`'s
+     * request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4313,8 +4320,9 @@ public Builder setPredictRoute(java.lang.String value) {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the `/foo` path on the port of your container specified by the
-     * first value of this `ModelContainerSpec`'s
+     * request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4353,8 +4361,9 @@ public Builder clearPredictRoute() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the `/foo` path on the port of your container specified by the
-     * first value of this `ModelContainerSpec`'s
+     * request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4399,8 +4408,9 @@ public Builder setPredictRouteBytes(com.google.protobuf.ByteString value) {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the `/bar` path on the port of your
-     * container specified by the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4443,8 +4453,9 @@ public java.lang.String getHealthRoute() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the `/bar` path on the port of your
-     * container specified by the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4487,8 +4498,9 @@ public com.google.protobuf.ByteString getHealthRouteBytes() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the `/bar` path on the port of your
-     * container specified by the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4530,8 +4542,9 @@ public Builder setHealthRoute(java.lang.String value) {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the `/bar` path on the port of your
-     * container specified by the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4569,8 +4582,9 @@ public Builder clearHealthRoute() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the `/bar` path on the port of your
-     * container specified by the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the following URL on the container:
+     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
index 4a8124685..d6d497de8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
@@ -736,8 +736,9 @@ public interface ModelContainerSpecOrBuilder
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the `/foo` path on the port of your container specified by the
-   * first value of this `ModelContainerSpec`'s
+   * request to the following URL on the container:
+   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -771,8 +772,9 @@ public interface ModelContainerSpecOrBuilder
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the `/foo` path on the port of your container specified by the
-   * first value of this `ModelContainerSpec`'s
+   * request to the following URL on the container:
+   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
+   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -806,8 +808,9 @@ public interface ModelContainerSpecOrBuilder
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the `/bar` path on the port of your
-   * container specified by the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the following URL on the container:
+   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -840,8 +843,9 @@ public interface ModelContainerSpecOrBuilder
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the `/bar` path on the port of your
-   * container specified by the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the following URL on the container:
+   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
+   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
index a18f74929..66f27a69e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
@@ -42,7 +42,6 @@ private ModelEvaluation() {
     name_ = "";
     metricsSchemaUri_ = "";
     sliceDimensions_ = com.google.protobuf.LazyStringArrayList.EMPTY;
-    explanationSpecs_ = java.util.Collections.emptyList();
   }
 
   @java.lang.Override
@@ -145,22 +144,6 @@ private ModelEvaluation(
 
               break;
             }
-          case 74:
-            {
-              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
-                explanationSpecs_ =
-                    new java.util.ArrayList<
-                        com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                            .ModelEvaluationExplanationSpec>();
-                mutable_bitField0_ |= 0x00000002;
-              }
-              explanationSpecs_.add(
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                          .ModelEvaluationExplanationSpec.parser(),
-                      extensionRegistry));
-              break;
-            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -178,9 +161,6 @@ private ModelEvaluation(
       if (((mutable_bitField0_ & 0x00000001) != 0)) {
         sliceDimensions_ = sliceDimensions_.getUnmodifiableView();
       }
-      if (((mutable_bitField0_ & 0x00000002) != 0)) {
-        explanationSpecs_ = java.util.Collections.unmodifiableList(explanationSpecs_);
-      }
       this.unknownFields = unknownFields.build();
       makeExtensionsImmutable();
     }
@@ -201,1031 +181,6 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
             com.google.cloud.aiplatform.v1beta1.ModelEvaluation.Builder.class);
   }
 
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-     *   * `image-xrai`
-     * </pre>
-     *
-     * <code>string explanation_type = 1;</code>
-     *
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-     */
-    java.lang.String getExplanationType();
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-     * <pre>
-     * Explanation type.
-     * For AutoML Image Classification models, possible values are:
-     *   * `image-integrated-gradients`
-     *   * `image-xrai`
-     * </pre>
-     *
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-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-     *
-     * @return Whether the explanationSpec field is set.
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-    boolean hasExplanationSpec();
-    /**
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-     *
-     * <pre>
-     * Explanation spec details.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-     *
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-    com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec();
-    /**
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-     *
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-     */
-    com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder getExplanationSpecOrBuilder();
-  }
-  /**
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-   */
-  public static final class ModelEvaluationExplanationSpec
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-      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
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-                if (explanationSpec_ != null) {
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-      }
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-      private void maybeForceBuilderInitialization() {
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-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec result =
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-        if (!result.isInitialized()) {
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-      @java.lang.Override
-      public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
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-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec result =
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-                  other);
-        } else {
-          super.mergeFrom(other);
-          return this;
-        }
-      }
-
-      public Builder mergeFrom(
-          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-              other) {
-        if (other
-            == com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-                .getDefaultInstance()) return this;
-        if (!other.getExplanationType().isEmpty()) {
-          explanationType_ = other.explanationType_;
-          onChanged();
-        }
-        if (other.hasExplanationSpec()) {
-          mergeExplanationSpec(other.getExplanationSpec());
-        }
-        this.mergeUnknownFields(other.unknownFields);
-        onChanged();
-        return this;
-      }
-
-      @java.lang.Override
-      public final boolean isInitialized() {
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-
-      @java.lang.Override
-      public Builder mergeFrom(
-          com.google.protobuf.CodedInputStream input,
-          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-          throws java.io.IOException {
-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-            parsedMessage = null;
-        try {
-          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
-        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
-          parsedMessage =
-              (com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
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-          throw e.unwrapIOException();
-        } finally {
-          if (parsedMessage != null) {
-            mergeFrom(parsedMessage);
-          }
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-        return this;
-      }
-
-      private java.lang.Object explanationType_ = "";
-      /**
-       *
-       *
-       * <pre>
-       * Explanation type.
-       * For AutoML Image Classification models, possible values are:
-       *   * `image-integrated-gradients`
-       *   * `image-xrai`
-       * </pre>
-       *
-       * <code>string explanation_type = 1;</code>
-       *
-       * @return The explanationType.
-       */
-      public java.lang.String getExplanationType() {
-        java.lang.Object ref = explanationType_;
-        if (!(ref instanceof java.lang.String)) {
-          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
-          java.lang.String s = bs.toStringUtf8();
-          explanationType_ = s;
-          return s;
-        } else {
-          return (java.lang.String) ref;
-        }
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation type.
-       * For AutoML Image Classification models, possible values are:
-       *   * `image-integrated-gradients`
-       *   * `image-xrai`
-       * </pre>
-       *
-       * <code>string explanation_type = 1;</code>
-       *
-       * @return The bytes for explanationType.
-       */
-      public com.google.protobuf.ByteString getExplanationTypeBytes() {
-        java.lang.Object ref = explanationType_;
-        if (ref instanceof String) {
-          com.google.protobuf.ByteString b =
-              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
-          explanationType_ = b;
-          return b;
-        } else {
-          return (com.google.protobuf.ByteString) ref;
-        }
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation type.
-       * For AutoML Image Classification models, possible values are:
-       *   * `image-integrated-gradients`
-       *   * `image-xrai`
-       * </pre>
-       *
-       * <code>string explanation_type = 1;</code>
-       *
-       * @param value The explanationType to set.
-       * @return This builder for chaining.
-       */
-      public Builder setExplanationType(java.lang.String value) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-
-        explanationType_ = value;
-        onChanged();
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation type.
-       * For AutoML Image Classification models, possible values are:
-       *   * `image-integrated-gradients`
-       *   * `image-xrai`
-       * </pre>
-       *
-       * <code>string explanation_type = 1;</code>
-       *
-       * @return This builder for chaining.
-       */
-      public Builder clearExplanationType() {
-
-        explanationType_ = getDefaultInstance().getExplanationType();
-        onChanged();
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation type.
-       * For AutoML Image Classification models, possible values are:
-       *   * `image-integrated-gradients`
-       *   * `image-xrai`
-       * </pre>
-       *
-       * <code>string explanation_type = 1;</code>
-       *
-       * @param value The bytes for explanationType to set.
-       * @return This builder for chaining.
-       */
-      public Builder setExplanationTypeBytes(com.google.protobuf.ByteString value) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        checkByteStringIsUtf8(value);
-
-        explanationType_ = value;
-        onChanged();
-        return this;
-      }
-
-      private com.google.cloud.aiplatform.v1beta1.ExplanationSpec explanationSpec_;
-      private com.google.protobuf.SingleFieldBuilderV3<
-              com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
-              com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
-              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>
-          explanationSpecBuilder_;
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       *
-       * @return Whether the explanationSpec field is set.
-       */
-      public boolean hasExplanationSpec() {
-        return explanationSpecBuilder_ != null || explanationSpec_ != null;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       *
-       * @return The explanationSpec.
-       */
-      public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec() {
-        if (explanationSpecBuilder_ == null) {
-          return explanationSpec_ == null
-              ? com.google.cloud.aiplatform.v1beta1.ExplanationSpec.getDefaultInstance()
-              : explanationSpec_;
-        } else {
-          return explanationSpecBuilder_.getMessage();
-        }
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       */
-      public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
-        if (explanationSpecBuilder_ == null) {
-          if (value == null) {
-            throw new NullPointerException();
-          }
-          explanationSpec_ = value;
-          onChanged();
-        } else {
-          explanationSpecBuilder_.setMessage(value);
-        }
-
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       */
-      public Builder setExplanationSpec(
-          com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder builderForValue) {
-        if (explanationSpecBuilder_ == null) {
-          explanationSpec_ = builderForValue.build();
-          onChanged();
-        } else {
-          explanationSpecBuilder_.setMessage(builderForValue.build());
-        }
-
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       */
-      public Builder mergeExplanationSpec(
-          com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
-        if (explanationSpecBuilder_ == null) {
-          if (explanationSpec_ != null) {
-            explanationSpec_ =
-                com.google.cloud.aiplatform.v1beta1.ExplanationSpec.newBuilder(explanationSpec_)
-                    .mergeFrom(value)
-                    .buildPartial();
-          } else {
-            explanationSpec_ = value;
-          }
-          onChanged();
-        } else {
-          explanationSpecBuilder_.mergeFrom(value);
-        }
-
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       */
-      public Builder clearExplanationSpec() {
-        if (explanationSpecBuilder_ == null) {
-          explanationSpec_ = null;
-          onChanged();
-        } else {
-          explanationSpec_ = null;
-          explanationSpecBuilder_ = null;
-        }
-
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       */
-      public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder
-          getExplanationSpecBuilder() {
-
-        onChanged();
-        return getExplanationSpecFieldBuilder().getBuilder();
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       */
-      public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
-          getExplanationSpecOrBuilder() {
-        if (explanationSpecBuilder_ != null) {
-          return explanationSpecBuilder_.getMessageOrBuilder();
-        } else {
-          return explanationSpec_ == null
-              ? com.google.cloud.aiplatform.v1beta1.ExplanationSpec.getDefaultInstance()
-              : explanationSpec_;
-        }
-      }
-      /**
-       *
-       *
-       * <pre>
-       * Explanation spec details.
-       * </pre>
-       *
-       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
-       */
-      private com.google.protobuf.SingleFieldBuilderV3<
-              com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
-              com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
-              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>
-          getExplanationSpecFieldBuilder() {
-        if (explanationSpecBuilder_ == null) {
-          explanationSpecBuilder_ =
-              new com.google.protobuf.SingleFieldBuilderV3<
-                  com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
-                  com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
-                  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>(
-                  getExplanationSpec(), getParentForChildren(), isClean());
-          explanationSpec_ = null;
-        }
-        return explanationSpecBuilder_;
-      }
-
-      @java.lang.Override
-      public final Builder setUnknownFields(
-          final com.google.protobuf.UnknownFieldSet unknownFields) {
-        return super.setUnknownFields(unknownFields);
-      }
-
-      @java.lang.Override
-      public final Builder mergeUnknownFields(
-          final com.google.protobuf.UnknownFieldSet unknownFields) {
-        return super.mergeUnknownFields(unknownFields);
-      }
-
-      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
-    }
-
-    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
-    private static final com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-            .ModelEvaluationExplanationSpec
-        DEFAULT_INSTANCE;
-
-    static {
-      DEFAULT_INSTANCE =
-          new com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec();
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-        getDefaultInstance() {
-      return DEFAULT_INSTANCE;
-    }
-
-    private static final com.google.protobuf.Parser<ModelEvaluationExplanationSpec> PARSER =
-        new com.google.protobuf.AbstractParser<ModelEvaluationExplanationSpec>() {
-          @java.lang.Override
-          public ModelEvaluationExplanationSpec parsePartialFrom(
-              com.google.protobuf.CodedInputStream input,
-              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-              throws com.google.protobuf.InvalidProtocolBufferException {
-            return new ModelEvaluationExplanationSpec(input, extensionRegistry);
-          }
-        };
-
-    public static com.google.protobuf.Parser<ModelEvaluationExplanationSpec> parser() {
-      return PARSER;
-    }
-
-    @java.lang.Override
-    public com.google.protobuf.Parser<ModelEvaluationExplanationSpec> getParserForType() {
-      return PARSER;
-    }
-
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-        getDefaultInstanceForType() {
-      return DEFAULT_INSTANCE;
-    }
-  }
-
   public static final int NAME_FIELD_NUMBER = 1;
   private volatile java.lang.Object name_;
   /**
@@ -1559,100 +514,7 @@ public com.google.cloud.aiplatform.v1beta1.ModelExplanation getModelExplanation(
   @java.lang.Override
   public com.google.cloud.aiplatform.v1beta1.ModelExplanationOrBuilder
       getModelExplanationOrBuilder() {
-    return getModelExplanation();
-  }
-
-  public static final int EXPLANATION_SPECS_FIELD_NUMBER = 9;
-  private java.util.List<
-          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
-      explanationSpecs_;
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  @java.lang.Override
-  public java.util.List<
-          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
-      getExplanationSpecsList() {
-    return explanationSpecs_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  @java.lang.Override
-  public java.util.List<
-          ? extends
-              com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                  .ModelEvaluationExplanationSpecOrBuilder>
-      getExplanationSpecsOrBuilderList() {
-    return explanationSpecs_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  @java.lang.Override
-  public int getExplanationSpecsCount() {
-    return explanationSpecs_.size();
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-      getExplanationSpecs(int index) {
-    return explanationSpecs_.get(index);
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder
-      getExplanationSpecsOrBuilder(int index) {
-    return explanationSpecs_.get(index);
+    return getModelExplanation();
   }
 
   private byte memoizedIsInitialized = -1;
@@ -1687,9 +549,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (modelExplanation_ != null) {
       output.writeMessage(8, getModelExplanation());
     }
-    for (int i = 0; i < explanationSpecs_.size(); i++) {
-      output.writeMessage(9, explanationSpecs_.get(i));
-    }
     unknownFields.writeTo(output);
   }
 
@@ -1722,9 +581,6 @@ public int getSerializedSize() {
     if (modelExplanation_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getModelExplanation());
     }
-    for (int i = 0; i < explanationSpecs_.size(); i++) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, explanationSpecs_.get(i));
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1756,7 +612,6 @@ public boolean equals(final java.lang.Object obj) {
     if (hasModelExplanation()) {
       if (!getModelExplanation().equals(other.getModelExplanation())) return false;
     }
-    if (!getExplanationSpecsList().equals(other.getExplanationSpecsList())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1788,10 +643,6 @@ public int hashCode() {
       hash = (37 * hash) + MODEL_EXPLANATION_FIELD_NUMBER;
       hash = (53 * hash) + getModelExplanation().hashCode();
     }
-    if (getExplanationSpecsCount() > 0) {
-      hash = (37 * hash) + EXPLANATION_SPECS_FIELD_NUMBER;
-      hash = (53 * hash) + getExplanationSpecsList().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1932,9 +783,7 @@ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
     }
 
     private void maybeForceBuilderInitialization() {
-      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
-        getExplanationSpecsFieldBuilder();
-      }
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
     }
 
     @java.lang.Override
@@ -1964,12 +813,6 @@ public Builder clear() {
         modelExplanation_ = null;
         modelExplanationBuilder_ = null;
       }
-      if (explanationSpecsBuilder_ == null) {
-        explanationSpecs_ = java.util.Collections.emptyList();
-        bitField0_ = (bitField0_ & ~0x00000002);
-      } else {
-        explanationSpecsBuilder_.clear();
-      }
       return this;
     }
 
@@ -2020,15 +863,6 @@ public com.google.cloud.aiplatform.v1beta1.ModelEvaluation buildPartial() {
       } else {
         result.modelExplanation_ = modelExplanationBuilder_.build();
       }
-      if (explanationSpecsBuilder_ == null) {
-        if (((bitField0_ & 0x00000002) != 0)) {
-          explanationSpecs_ = java.util.Collections.unmodifiableList(explanationSpecs_);
-          bitField0_ = (bitField0_ & ~0x00000002);
-        }
-        result.explanationSpecs_ = explanationSpecs_;
-      } else {
-        result.explanationSpecs_ = explanationSpecsBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -2106,33 +940,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.ModelEvaluation oth
       if (other.hasModelExplanation()) {
         mergeModelExplanation(other.getModelExplanation());
       }
-      if (explanationSpecsBuilder_ == null) {
-        if (!other.explanationSpecs_.isEmpty()) {
-          if (explanationSpecs_.isEmpty()) {
-            explanationSpecs_ = other.explanationSpecs_;
-            bitField0_ = (bitField0_ & ~0x00000002);
-          } else {
-            ensureExplanationSpecsIsMutable();
-            explanationSpecs_.addAll(other.explanationSpecs_);
-          }
-          onChanged();
-        }
-      } else {
-        if (!other.explanationSpecs_.isEmpty()) {
-          if (explanationSpecsBuilder_.isEmpty()) {
-            explanationSpecsBuilder_.dispose();
-            explanationSpecsBuilder_ = null;
-            explanationSpecs_ = other.explanationSpecs_;
-            bitField0_ = (bitField0_ & ~0x00000002);
-            explanationSpecsBuilder_ =
-                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
-                    ? getExplanationSpecsFieldBuilder()
-                    : null;
-          } else {
-            explanationSpecsBuilder_.addAllMessages(other.explanationSpecs_);
-          }
-        }
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -3209,458 +2016,6 @@ public Builder clearModelExplanation() {
       return modelExplanationBuilder_;
     }
 
-    private java.util.List<
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
-        explanationSpecs_ = java.util.Collections.emptyList();
-
-    private void ensureExplanationSpecsIsMutable() {
-      if (!((bitField0_ & 0x00000002) != 0)) {
-        explanationSpecs_ =
-            new java.util.ArrayList<
-                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>(
-                explanationSpecs_);
-        bitField0_ |= 0x00000002;
-      }
-    }
-
-    private com.google.protobuf.RepeatedFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-                .Builder,
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                .ModelEvaluationExplanationSpecOrBuilder>
-        explanationSpecsBuilder_;
-
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public java.util.List<
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
-        getExplanationSpecsList() {
-      if (explanationSpecsBuilder_ == null) {
-        return java.util.Collections.unmodifiableList(explanationSpecs_);
-      } else {
-        return explanationSpecsBuilder_.getMessageList();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public int getExplanationSpecsCount() {
-      if (explanationSpecsBuilder_ == null) {
-        return explanationSpecs_.size();
-      } else {
-        return explanationSpecsBuilder_.getCount();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-        getExplanationSpecs(int index) {
-      if (explanationSpecsBuilder_ == null) {
-        return explanationSpecs_.get(index);
-      } else {
-        return explanationSpecsBuilder_.getMessage(index);
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder setExplanationSpecs(
-        int index,
-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
-      if (explanationSpecsBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        ensureExplanationSpecsIsMutable();
-        explanationSpecs_.set(index, value);
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.setMessage(index, value);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder setExplanationSpecs(
-        int index,
-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
-            builderForValue) {
-      if (explanationSpecsBuilder_ == null) {
-        ensureExplanationSpecsIsMutable();
-        explanationSpecs_.set(index, builderForValue.build());
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.setMessage(index, builderForValue.build());
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder addExplanationSpecs(
-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
-      if (explanationSpecsBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        ensureExplanationSpecsIsMutable();
-        explanationSpecs_.add(value);
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.addMessage(value);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder addExplanationSpecs(
-        int index,
-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
-      if (explanationSpecsBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        ensureExplanationSpecsIsMutable();
-        explanationSpecs_.add(index, value);
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.addMessage(index, value);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder addExplanationSpecs(
-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
-            builderForValue) {
-      if (explanationSpecsBuilder_ == null) {
-        ensureExplanationSpecsIsMutable();
-        explanationSpecs_.add(builderForValue.build());
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.addMessage(builderForValue.build());
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder addExplanationSpecs(
-        int index,
-        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
-            builderForValue) {
-      if (explanationSpecsBuilder_ == null) {
-        ensureExplanationSpecsIsMutable();
-        explanationSpecs_.add(index, builderForValue.build());
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.addMessage(index, builderForValue.build());
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder addAllExplanationSpecs(
-        java.lang.Iterable<
-                ? extends
-                    com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                        .ModelEvaluationExplanationSpec>
-            values) {
-      if (explanationSpecsBuilder_ == null) {
-        ensureExplanationSpecsIsMutable();
-        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, explanationSpecs_);
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.addAllMessages(values);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder clearExplanationSpecs() {
-      if (explanationSpecsBuilder_ == null) {
-        explanationSpecs_ = java.util.Collections.emptyList();
-        bitField0_ = (bitField0_ & ~0x00000002);
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.clear();
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public Builder removeExplanationSpecs(int index) {
-      if (explanationSpecsBuilder_ == null) {
-        ensureExplanationSpecsIsMutable();
-        explanationSpecs_.remove(index);
-        onChanged();
-      } else {
-        explanationSpecsBuilder_.remove(index);
-      }
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-            .Builder
-        getExplanationSpecsBuilder(int index) {
-      return getExplanationSpecsFieldBuilder().getBuilder(index);
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-            .ModelEvaluationExplanationSpecOrBuilder
-        getExplanationSpecsOrBuilder(int index) {
-      if (explanationSpecsBuilder_ == null) {
-        return explanationSpecs_.get(index);
-      } else {
-        return explanationSpecsBuilder_.getMessageOrBuilder(index);
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public java.util.List<
-            ? extends
-                com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                    .ModelEvaluationExplanationSpecOrBuilder>
-        getExplanationSpecsOrBuilderList() {
-      if (explanationSpecsBuilder_ != null) {
-        return explanationSpecsBuilder_.getMessageOrBuilderList();
-      } else {
-        return java.util.Collections.unmodifiableList(explanationSpecs_);
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-            .Builder
-        addExplanationSpecsBuilder() {
-      return getExplanationSpecsFieldBuilder()
-          .addBuilder(
-              com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-                  .getDefaultInstance());
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-            .Builder
-        addExplanationSpecsBuilder(int index) {
-      return getExplanationSpecsFieldBuilder()
-          .addBuilder(
-              index,
-              com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-                  .getDefaultInstance());
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-     * the predicted values on the evaluated data.
-     * </pre>
-     *
-     * <code>
-     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
-     */
-    public java.util.List<
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-                .Builder>
-        getExplanationSpecsBuilderList() {
-      return getExplanationSpecsFieldBuilder().getBuilderList();
-    }
-
-    private com.google.protobuf.RepeatedFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-                .Builder,
-            com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                .ModelEvaluationExplanationSpecOrBuilder>
-        getExplanationSpecsFieldBuilder() {
-      if (explanationSpecsBuilder_ == null) {
-        explanationSpecsBuilder_ =
-            new com.google.protobuf.RepeatedFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
-                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-                    .Builder,
-                com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                    .ModelEvaluationExplanationSpecOrBuilder>(
-                explanationSpecs_,
-                ((bitField0_ & 0x00000002) != 0),
-                getParentForChildren(),
-                isClean());
-        explanationSpecs_ = null;
-      }
-      return explanationSpecsBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
index 40c7fdd28..57cf0caf2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
@@ -264,77 +264,4 @@ public interface ModelEvaluationOrBuilder
    * </code>
    */
   com.google.cloud.aiplatform.v1beta1.ModelExplanationOrBuilder getModelExplanationOrBuilder();
-
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  java.util.List<com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
-      getExplanationSpecsList();
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
-      getExplanationSpecs(int index);
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  int getExplanationSpecsCount();
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  java.util.List<
-          ? extends
-              com.google.cloud.aiplatform.v1beta1.ModelEvaluation
-                  .ModelEvaluationExplanationSpecOrBuilder>
-      getExplanationSpecsOrBuilderList();
-  /**
-   *
-   *
-   * <pre>
-   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-   * the predicted values on the evaluated data.
-   * </pre>
-   *
-   * <code>
-   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder
-      getExplanationSpecsOrBuilder(int index);
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
index b219e56e7..bca98ace2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
@@ -31,10 +31,6 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_fieldAccessorTable;
-  static final com.google.protobuf.Descriptors.Descriptor
-      internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor;
-  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -51,27 +47,21 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "oud/aiplatform/v1beta1/explanation.proto"
           + "\032\034google/protobuf/struct.proto\032\037google/p"
           + "rotobuf/timestamp.proto\032\034google/api/anno"
-          + "tations.proto\"\226\005\n\017ModelEvaluation\022\021\n\004nam"
+          + "tations.proto\"\234\003\n\017ModelEvaluation\022\021\n\004nam"
           + "e\030\001 \001(\tB\003\340A\003\022\037\n\022metrics_schema_uri\030\002 \001(\t"
           + "B\003\340A\003\022,\n\007metrics\030\003 \001(\0132\026.google.protobuf"
           + ".ValueB\003\340A\003\0224\n\013create_time\030\004 \001(\0132\032.googl"
           + "e.protobuf.TimestampB\003\340A\003\022\035\n\020slice_dimen"
           + "sions\030\005 \003(\tB\003\340A\003\022Q\n\021model_explanation\030\010 "
           + "\001(\01321.google.cloud.aiplatform.v1beta1.Mo"
-          + "delExplanationB\003\340A\003\022o\n\021explanation_specs"
-          + "\030\t \003(\0132O.google.cloud.aiplatform.v1beta1"
-          + ".ModelEvaluation.ModelEvaluationExplanat"
-          + "ionSpecB\003\340A\003\032\206\001\n\036ModelEvaluationExplanat"
-          + "ionSpec\022\030\n\020explanation_type\030\001 \001(\t\022J\n\020exp"
-          + "lanation_spec\030\002 \001(\01320.google.cloud.aipla"
-          + "tform.v1beta1.ExplanationSpec:\177\352A|\n)aipl"
-          + "atform.googleapis.com/ModelEvaluation\022Op"
-          + "rojects/{project}/locations/{location}/m"
-          + "odels/{model}/evaluations/{evaluation}B\210"
-          + "\001\n#com.google.cloud.aiplatform.v1beta1B\024"
-          + "ModelEvaluationProtoP\001ZIgoogle.golang.or"
-          + "g/genproto/googleapis/cloud/aiplatform/v"
-          + "1beta1;aiplatformb\006proto3"
+          + "delExplanationB\003\340A\003:\177\352A|\n)aiplatform.goo"
+          + "gleapis.com/ModelEvaluation\022Oprojects/{p"
+          + "roject}/locations/{location}/models/{mod"
+          + "el}/evaluations/{evaluation}B\210\001\n#com.goo"
+          + "gle.cloud.aiplatform.v1beta1B\024ModelEvalu"
+          + "ationProtoP\001ZIgoogle.golang.org/genproto"
+          + "/googleapis/cloud/aiplatform/v1beta1;aip"
+          + "latformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -96,17 +86,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "CreateTime",
               "SliceDimensions",
               "ModelExplanation",
-              "ExplanationSpecs",
-            });
-    internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor =
-        internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_descriptor
-            .getNestedTypes()
-            .get(0);
-    internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_fieldAccessorTable =
-        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
-            internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor,
-            new java.lang.String[] {
-              "ExplanationType", "ExplanationSpec",
             });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
index 42b2d89da..7afe891e0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
@@ -126,7 +126,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -155,7 +155,7 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Attribution> getMeanAt
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -185,7 +185,7 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Attribution> getMeanAt
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -214,7 +214,7 @@ public int getMeanAttributionsCount() {
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -243,7 +243,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getMeanAttributions(int i
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -652,7 +652,7 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -685,7 +685,7 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -717,7 +717,7 @@ public int getMeanAttributionsCount() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -749,7 +749,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getMeanAttributions(int i
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -788,7 +788,7 @@ public Builder setMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -824,7 +824,7 @@ public Builder setMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -862,7 +862,7 @@ public Builder addMeanAttributions(com.google.cloud.aiplatform.v1beta1.Attributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -901,7 +901,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -937,7 +937,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -973,7 +973,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1009,7 +1009,7 @@ public Builder addAllMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1044,7 +1044,7 @@ public Builder clearMeanAttributions() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1079,7 +1079,7 @@ public Builder removeMeanAttributions(int index) {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1108,7 +1108,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder getMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1141,7 +1141,7 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getMeanAttributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1174,7 +1174,7 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getMeanAttributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1203,7 +1203,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1233,7 +1233,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
index 8871d76a7..1ab25e538 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
@@ -27,7 +27,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -53,7 +53,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -79,7 +79,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -105,7 +105,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -132,7 +132,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
index 226bd2b21..b15effdb0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
@@ -559,10 +559,6 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-   * * `file-list`
-   * Each line of the file is the location of an instance to process, uses
-   * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -602,10 +598,6 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-   * * `file-list`
-   * Each line of the file is the location of an instance to process, uses
-   * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -645,10 +637,6 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-   * * `file-list`
-   * Each line of the file is the location of an instance to process, uses
-   * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -689,10 +677,6 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
-   * * `file-list`
-   * Each line of the file is the location of an instance to process, uses
-   * `gcs_source` field of the
-   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -1012,20 +996,19 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * The default explanation specification for this Model.
-   * The Model can be used for [requesting
-   * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-   * The Model can be used for [batch
-   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+   * Output only. The default explanation specification for this Model.
+   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+   * This field is populated only for tabular AutoML Models.
+   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
    *
    * @return Whether the explanationSpec field is set.
    */
@@ -1034,20 +1017,19 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * The default explanation specification for this Model.
-   * The Model can be used for [requesting
-   * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-   * The Model can be used for [batch
-   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+   * Output only. The default explanation specification for this Model.
+   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+   * This field is populated only for tabular AutoML Models.
+   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
    *
    * @return The explanationSpec.
    */
@@ -1056,20 +1038,19 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * The default explanation specification for this Model.
-   * The Model can be used for [requesting
-   * explanation][PredictionService.Explain] after being
-   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-   * The Model can be used for [batch
-   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+   * Output only. The default explanation specification for this Model.
+   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+   * This field is populated only for tabular AutoML Models.
+   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
    */
   com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder getExplanationSpecOrBuilder();
 
@@ -1173,42 +1154,4 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    * <code>map&lt;string, string&gt; labels = 17;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
-
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Model. If set, this
-   * Model and all sub-resources of this Model will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  boolean hasEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Model. If set, this
-   * Model and all sub-resources of this Model will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a Model. If set, this
-   * Model and all sub-resources of this Model will be secured by this key.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
index c8b0bde7f..76874664e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
@@ -66,67 +66,64 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "api/resource.proto\032-google/cloud/aiplatf"
           + "orm/v1beta1/dataset.proto\0328google/cloud/"
           + "aiplatform/v1beta1/deployed_model_ref.pr"
-          + "oto\0325google/cloud/aiplatform/v1beta1/enc"
-          + "ryption_spec.proto\032-google/cloud/aiplatf"
-          + "orm/v1beta1/env_var.proto\0321google/cloud/"
-          + "aiplatform/v1beta1/explanation.proto\032\034go"
-          + "ogle/protobuf/struct.proto\032\037google/proto"
-          + "buf/timestamp.proto\032\034google/api/annotati"
-          + "ons.proto\"\321\014\n\005Model\022\014\n\004name\030\001 \001(\t\022\031\n\014dis"
-          + "play_name\030\002 \001(\tB\003\340A\002\022\023\n\013description\030\003 \001("
-          + "\t\022J\n\020predict_schemata\030\004 \001(\01320.google.clo"
-          + "ud.aiplatform.v1beta1.PredictSchemata\022 \n"
-          + "\023metadata_schema_uri\030\005 \001(\tB\003\340A\005\022-\n\010metad"
-          + "ata\030\006 \001(\0132\026.google.protobuf.ValueB\003\340A\005\022Z"
-          + "\n\030supported_export_formats\030\024 \003(\01323.googl"
-          + "e.cloud.aiplatform.v1beta1.Model.ExportF"
-          + "ormatB\003\340A\003\022M\n\021training_pipeline\030\007 \001(\tB2\340"
-          + "A\003\372A,\n*aiplatform.googleapis.com/Trainin"
-          + "gPipeline\022P\n\016container_spec\030\t \001(\01323.goog"
-          + "le.cloud.aiplatform.v1beta1.ModelContain"
-          + "erSpecB\003\340A\004\022\031\n\014artifact_uri\030\032 \001(\tB\003\340A\005\022q"
-          + "\n$supported_deployment_resources_types\030\n"
-          + " \003(\0162>.google.cloud.aiplatform.v1beta1.M"
-          + "odel.DeploymentResourcesTypeB\003\340A\003\022,\n\037sup"
-          + "ported_input_storage_formats\030\013 \003(\tB\003\340A\003\022"
-          + "-\n supported_output_storage_formats\030\014 \003("
-          + "\tB\003\340A\003\0224\n\013create_time\030\r \001(\0132\032.google.pro"
-          + "tobuf.TimestampB\003\340A\003\0224\n\013update_time\030\016 \001("
-          + "\0132\032.google.protobuf.TimestampB\003\340A\003\022O\n\017de"
-          + "ployed_models\030\017 \003(\01321.google.cloud.aipla"
-          + "tform.v1beta1.DeployedModelRefB\003\340A\003\022J\n\020e"
-          + "xplanation_spec\030\027 \001(\01320.google.cloud.aip"
-          + "latform.v1beta1.ExplanationSpec\022\014\n\004etag\030"
-          + "\020 \001(\t\022B\n\006labels\030\021 \003(\01322.google.cloud.aip"
-          + "latform.v1beta1.Model.LabelsEntry\022H\n\017enc"
-          + "ryption_spec\030\030 \001(\0132/.google.cloud.aiplat"
-          + "form.v1beta1.EncryptionSpec\032\332\001\n\014ExportFo"
-          + "rmat\022\017\n\002id\030\001 \001(\tB\003\340A\003\022g\n\023exportable_cont"
-          + "ents\030\002 \003(\0162E.google.cloud.aiplatform.v1b"
-          + "eta1.Model.ExportFormat.ExportableConten"
-          + "tB\003\340A\003\"P\n\021ExportableContent\022\"\n\036EXPORTABL"
-          + "E_CONTENT_UNSPECIFIED\020\000\022\014\n\010ARTIFACT\020\001\022\t\n"
-          + "\005IMAGE\020\002\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005"
-          + "value\030\002 \001(\t:\0028\001\"v\n\027DeploymentResourcesTy"
-          + "pe\022)\n%DEPLOYMENT_RESOURCES_TYPE_UNSPECIF"
-          + "IED\020\000\022\027\n\023DEDICATED_RESOURCES\020\001\022\027\n\023AUTOMA"
-          + "TIC_RESOURCES\020\002:\\\352AY\n\037aiplatform.googlea"
-          + "pis.com/Model\0226projects/{project}/locati"
-          + "ons/{location}/models/{model}\"{\n\017Predict"
-          + "Schemata\022 \n\023instance_schema_uri\030\001 \001(\tB\003\340"
-          + "A\005\022\"\n\025parameters_schema_uri\030\002 \001(\tB\003\340A\005\022\""
-          + "\n\025prediction_schema_uri\030\003 \001(\tB\003\340A\005\"\205\002\n\022M"
-          + "odelContainerSpec\022\031\n\timage_uri\030\001 \001(\tB\006\340A"
-          + "\002\340A\005\022\024\n\007command\030\002 \003(\tB\003\340A\005\022\021\n\004args\030\003 \003(\t"
-          + "B\003\340A\005\0229\n\003env\030\004 \003(\0132\'.google.cloud.aiplat"
-          + "form.v1beta1.EnvVarB\003\340A\005\0229\n\005ports\030\005 \003(\0132"
-          + "%.google.cloud.aiplatform.v1beta1.PortB\003"
-          + "\340A\005\022\032\n\rpredict_route\030\006 \001(\tB\003\340A\005\022\031\n\014healt"
-          + "h_route\030\007 \001(\tB\003\340A\005\"\036\n\004Port\022\026\n\016container_"
-          + "port\030\003 \001(\005B~\n#com.google.cloud.aiplatfor"
-          + "m.v1beta1B\nModelProtoP\001ZIgoogle.golang.o"
-          + "rg/genproto/googleapis/cloud/aiplatform/"
-          + "v1beta1;aiplatformb\006proto3"
+          + "oto\032-google/cloud/aiplatform/v1beta1/env"
+          + "_var.proto\0321google/cloud/aiplatform/v1be"
+          + "ta1/explanation.proto\032\034google/protobuf/s"
+          + "truct.proto\032\037google/protobuf/timestamp.p"
+          + "roto\032\034google/api/annotations.proto\"\214\014\n\005M"
+          + "odel\022\014\n\004name\030\001 \001(\t\022\031\n\014display_name\030\002 \001(\t"
+          + "B\003\340A\002\022\023\n\013description\030\003 \001(\t\022J\n\020predict_sc"
+          + "hemata\030\004 \001(\01320.google.cloud.aiplatform.v"
+          + "1beta1.PredictSchemata\022 \n\023metadata_schem"
+          + "a_uri\030\005 \001(\tB\003\340A\005\022-\n\010metadata\030\006 \001(\0132\026.goo"
+          + "gle.protobuf.ValueB\003\340A\005\022Z\n\030supported_exp"
+          + "ort_formats\030\024 \003(\01323.google.cloud.aiplatf"
+          + "orm.v1beta1.Model.ExportFormatB\003\340A\003\022M\n\021t"
+          + "raining_pipeline\030\007 \001(\tB2\340A\003\372A,\n*aiplatfo"
+          + "rm.googleapis.com/TrainingPipeline\022P\n\016co"
+          + "ntainer_spec\030\t \001(\01323.google.cloud.aiplat"
+          + "form.v1beta1.ModelContainerSpecB\003\340A\004\022\031\n\014"
+          + "artifact_uri\030\032 \001(\tB\003\340A\005\022q\n$supported_dep"
+          + "loyment_resources_types\030\n \003(\0162>.google.c"
+          + "loud.aiplatform.v1beta1.Model.Deployment"
+          + "ResourcesTypeB\003\340A\003\022,\n\037supported_input_st"
+          + "orage_formats\030\013 \003(\tB\003\340A\003\022-\n supported_ou"
+          + "tput_storage_formats\030\014 \003(\tB\003\340A\003\0224\n\013creat"
+          + "e_time\030\r \001(\0132\032.google.protobuf.Timestamp"
+          + "B\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google.prot"
+          + "obuf.TimestampB\003\340A\003\022O\n\017deployed_models\030\017"
+          + " \003(\01321.google.cloud.aiplatform.v1beta1.D"
+          + "eployedModelRefB\003\340A\003\022O\n\020explanation_spec"
+          + "\030\027 \001(\01320.google.cloud.aiplatform.v1beta1"
+          + ".ExplanationSpecB\003\340A\003\022\014\n\004etag\030\020 \001(\t\022B\n\006l"
+          + "abels\030\021 \003(\01322.google.cloud.aiplatform.v1"
+          + "beta1.Model.LabelsEntry\032\332\001\n\014ExportFormat"
+          + "\022\017\n\002id\030\001 \001(\tB\003\340A\003\022g\n\023exportable_contents"
+          + "\030\002 \003(\0162E.google.cloud.aiplatform.v1beta1"
+          + ".Model.ExportFormat.ExportableContentB\003\340"
+          + "A\003\"P\n\021ExportableContent\022\"\n\036EXPORTABLE_CO"
+          + "NTENT_UNSPECIFIED\020\000\022\014\n\010ARTIFACT\020\001\022\t\n\005IMA"
+          + "GE\020\002\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005valu"
+          + "e\030\002 \001(\t:\0028\001\"v\n\027DeploymentResourcesType\022)"
+          + "\n%DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED\020"
+          + "\000\022\027\n\023DEDICATED_RESOURCES\020\001\022\027\n\023AUTOMATIC_"
+          + "RESOURCES\020\002:\\\352AY\n\037aiplatform.googleapis."
+          + "com/Model\0226projects/{project}/locations/"
+          + "{location}/models/{model}\"{\n\017PredictSche"
+          + "mata\022 \n\023instance_schema_uri\030\001 \001(\tB\003\340A\005\022\""
+          + "\n\025parameters_schema_uri\030\002 \001(\tB\003\340A\005\022\"\n\025pr"
+          + "ediction_schema_uri\030\003 \001(\tB\003\340A\005\"\205\002\n\022Model"
+          + "ContainerSpec\022\031\n\timage_uri\030\001 \001(\tB\006\340A\002\340A\005"
+          + "\022\024\n\007command\030\002 \003(\tB\003\340A\005\022\021\n\004args\030\003 \003(\tB\003\340A"
+          + "\005\0229\n\003env\030\004 \003(\0132\'.google.cloud.aiplatform"
+          + ".v1beta1.EnvVarB\003\340A\005\0229\n\005ports\030\005 \003(\0132%.go"
+          + "ogle.cloud.aiplatform.v1beta1.PortB\003\340A\005\022"
+          + "\032\n\rpredict_route\030\006 \001(\tB\003\340A\005\022\031\n\014health_ro"
+          + "ute\030\007 \001(\tB\003\340A\005\"\036\n\004Port\022\026\n\016container_port"
+          + "\030\003 \001(\005B~\n#com.google.cloud.aiplatform.v1"
+          + "beta1B\nModelProtoP\001ZIgoogle.golang.org/g"
+          + "enproto/googleapis/cloud/aiplatform/v1be"
+          + "ta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -136,7 +133,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DatasetProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DeployedModelNameProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
@@ -168,7 +164,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "ExplanationSpec",
               "Etag",
               "Labels",
-              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Model_ExportFormat_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Model_descriptor.getNestedTypes().get(0);
@@ -221,7 +216,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DatasetProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DeployedModelNameProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
index 317cc7b1d..b8d6202ed 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
@@ -65,36 +65,34 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "tobuf.ValueB\003\340A\002\022*\n\nparameters\030\003 \001(\0132\026.g"
           + "oogle.protobuf.Value\"Y\n\017PredictResponse\022"
           + "+\n\013predictions\030\001 \003(\0132\026.google.protobuf.V"
-          + "alue\022\031\n\021deployed_model_id\030\002 \001(\t\"\242\002\n\016Expl"
+          + "alue\022\031\n\021deployed_model_id\030\002 \001(\t\"\305\001\n\016Expl"
           + "ainRequest\022<\n\010endpoint\030\001 \001(\tB*\340A\002\372A$\n\"ai"
           + "platform.googleapis.com/Endpoint\022.\n\tinst"
           + "ances\030\002 \003(\0132\026.google.protobuf.ValueB\003\340A\002"
           + "\022*\n\nparameters\030\004 \001(\0132\026.google.protobuf.V"
-          + "alue\022[\n\031explanation_spec_override\030\005 \001(\0132"
-          + "8.google.cloud.aiplatform.v1beta1.Explan"
-          + "ationSpecOverride\022\031\n\021deployed_model_id\030\003"
-          + " \001(\t\"\235\001\n\017ExplainResponse\022B\n\014explanations"
-          + "\030\001 \003(\0132,.google.cloud.aiplatform.v1beta1"
-          + ".Explanation\022\031\n\021deployed_model_id\030\002 \001(\t\022"
-          + "+\n\013predictions\030\003 \003(\0132\026.google.protobuf.V"
-          + "alue2\250\004\n\021PredictionService\022\327\001\n\007Predict\022/"
-          + ".google.cloud.aiplatform.v1beta1.Predict"
-          + "Request\0320.google.cloud.aiplatform.v1beta"
-          + "1.PredictResponse\"i\202\323\344\223\002C\">/v1beta1/{end"
-          + "point=projects/*/locations/*/endpoints/*"
-          + "}:predict:\001*\332A\035endpoint,instances,parame"
-          + "ters\022\351\001\n\007Explain\022/.google.cloud.aiplatfo"
-          + "rm.v1beta1.ExplainRequest\0320.google.cloud"
-          + ".aiplatform.v1beta1.ExplainResponse\"{\202\323\344"
-          + "\223\002C\">/v1beta1/{endpoint=projects/*/locat"
-          + "ions/*/endpoints/*}:explain:\001*\332A/endpoin"
-          + "t,instances,parameters,deployed_model_id"
-          + "\032M\312A\031aiplatform.googleapis.com\322A.https:/"
-          + "/www.googleapis.com/auth/cloud-platformB"
-          + "\212\001\n#com.google.cloud.aiplatform.v1beta1B"
-          + "\026PredictionServiceProtoP\001ZIgoogle.golang"
-          + ".org/genproto/googleapis/cloud/aiplatfor"
-          + "m/v1beta1;aiplatformb\006proto3"
+          + "alue\022\031\n\021deployed_model_id\030\003 \001(\t\"\235\001\n\017Expl"
+          + "ainResponse\022B\n\014explanations\030\001 \003(\0132,.goog"
+          + "le.cloud.aiplatform.v1beta1.Explanation\022"
+          + "\031\n\021deployed_model_id\030\002 \001(\t\022+\n\013prediction"
+          + "s\030\003 \003(\0132\026.google.protobuf.Value2\250\004\n\021Pred"
+          + "ictionService\022\327\001\n\007Predict\022/.google.cloud"
+          + ".aiplatform.v1beta1.PredictRequest\0320.goo"
+          + "gle.cloud.aiplatform.v1beta1.PredictResp"
+          + "onse\"i\202\323\344\223\002C\">/v1beta1/{endpoint=project"
+          + "s/*/locations/*/endpoints/*}:predict:\001*\332"
+          + "A\035endpoint,instances,parameters\022\351\001\n\007Expl"
+          + "ain\022/.google.cloud.aiplatform.v1beta1.Ex"
+          + "plainRequest\0320.google.cloud.aiplatform.v"
+          + "1beta1.ExplainResponse\"{\202\323\344\223\002C\">/v1beta1"
+          + "/{endpoint=projects/*/locations/*/endpoi"
+          + "nts/*}:explain:\001*\332A/endpoint,instances,p"
+          + "arameters,deployed_model_id\032M\312A\031aiplatfo"
+          + "rm.googleapis.com\322A.https://www.googleap"
+          + "is.com/auth/cloud-platformB\212\001\n#com.googl"
+          + "e.cloud.aiplatform.v1beta1B\026PredictionSe"
+          + "rviceProtoP\001ZIgoogle.golang.org/genproto"
+          + "/googleapis/cloud/aiplatform/v1beta1;aip"
+          + "latformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -129,7 +127,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ExplainRequest_descriptor,
             new java.lang.String[] {
-              "Endpoint", "Instances", "Parameters", "ExplanationSpecOverride", "DeployedModelId",
+              "Endpoint", "Instances", "Parameters", "DeployedModelId",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ExplainResponse_descriptor =
         getDescriptor().getMessageTypes().get(3);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
index 281e54cbc..53ac48b90 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
@@ -41,7 +41,6 @@ private SearchMigratableResourcesRequest(
   private SearchMigratableResourcesRequest() {
     parent_ = "";
     pageToken_ = "";
-    filter_ = "";
   }
 
   @java.lang.Override
@@ -92,13 +91,6 @@ private SearchMigratableResourcesRequest(
               pageToken_ = s;
               break;
             }
-          case 34:
-            {
-              java.lang.String s = input.readStringRequireUtf8();
-
-              filter_ = s;
-              break;
-            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -262,71 +254,6 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
     }
   }
 
-  public static final int FILTER_FIELD_NUMBER = 4;
-  private volatile java.lang.Object filter_;
-  /**
-   *
-   *
-   * <pre>
-   * Supported filters are:
-   * * Resource type: For a specific type of MigratableResource.
-   *   * `ml_engine_model_version:*`
-   *   * `automl_model:*`,
-   *   * `automl_dataset:*`
-   *   * `data_labeling_dataset:*`.
-   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-   *   * `last_migrate_time:*` will filter migrated resources.
-   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-   * </pre>
-   *
-   * <code>string filter = 4;</code>
-   *
-   * @return The filter.
-   */
-  @java.lang.Override
-  public java.lang.String getFilter() {
-    java.lang.Object ref = filter_;
-    if (ref instanceof java.lang.String) {
-      return (java.lang.String) ref;
-    } else {
-      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
-      java.lang.String s = bs.toStringUtf8();
-      filter_ = s;
-      return s;
-    }
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Supported filters are:
-   * * Resource type: For a specific type of MigratableResource.
-   *   * `ml_engine_model_version:*`
-   *   * `automl_model:*`,
-   *   * `automl_dataset:*`
-   *   * `data_labeling_dataset:*`.
-   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-   *   * `last_migrate_time:*` will filter migrated resources.
-   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-   * </pre>
-   *
-   * <code>string filter = 4;</code>
-   *
-   * @return The bytes for filter.
-   */
-  @java.lang.Override
-  public com.google.protobuf.ByteString getFilterBytes() {
-    java.lang.Object ref = filter_;
-    if (ref instanceof java.lang.String) {
-      com.google.protobuf.ByteString b =
-          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
-      filter_ = b;
-      return b;
-    } else {
-      return (com.google.protobuf.ByteString) ref;
-    }
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -350,9 +277,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (!getPageTokenBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 3, pageToken_);
     }
-    if (!getFilterBytes().isEmpty()) {
-      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, filter_);
-    }
     unknownFields.writeTo(output);
   }
 
@@ -371,9 +295,6 @@ public int getSerializedSize() {
     if (!getPageTokenBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, pageToken_);
     }
-    if (!getFilterBytes().isEmpty()) {
-      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, filter_);
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -393,7 +314,6 @@ public boolean equals(final java.lang.Object obj) {
     if (!getParent().equals(other.getParent())) return false;
     if (getPageSize() != other.getPageSize()) return false;
     if (!getPageToken().equals(other.getPageToken())) return false;
-    if (!getFilter().equals(other.getFilter())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -411,8 +331,6 @@ public int hashCode() {
     hash = (53 * hash) + getPageSize();
     hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER;
     hash = (53 * hash) + getPageToken().hashCode();
-    hash = (37 * hash) + FILTER_FIELD_NUMBER;
-    hash = (53 * hash) + getFilter().hashCode();
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -567,8 +485,6 @@ public Builder clear() {
 
       pageToken_ = "";
 
-      filter_ = "";
-
       return this;
     }
 
@@ -601,7 +517,6 @@ public com.google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest buil
       result.parent_ = parent_;
       result.pageSize_ = pageSize_;
       result.pageToken_ = pageToken_;
-      result.filter_ = filter_;
       onBuilt();
       return result;
     }
@@ -666,10 +581,6 @@ public Builder mergeFrom(
         pageToken_ = other.pageToken_;
         onChanged();
       }
-      if (!other.getFilter().isEmpty()) {
-        filter_ = other.filter_;
-        onChanged();
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -998,152 +909,6 @@ public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
-    private java.lang.Object filter_ = "";
-    /**
-     *
-     *
-     * <pre>
-     * Supported filters are:
-     * * Resource type: For a specific type of MigratableResource.
-     *   * `ml_engine_model_version:*`
-     *   * `automl_model:*`,
-     *   * `automl_dataset:*`
-     *   * `data_labeling_dataset:*`.
-     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-     *   * `last_migrate_time:*` will filter migrated resources.
-     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-     * </pre>
-     *
-     * <code>string filter = 4;</code>
-     *
-     * @return The filter.
-     */
-    public java.lang.String getFilter() {
-      java.lang.Object ref = filter_;
-      if (!(ref instanceof java.lang.String)) {
-        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
-        java.lang.String s = bs.toStringUtf8();
-        filter_ = s;
-        return s;
-      } else {
-        return (java.lang.String) ref;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Supported filters are:
-     * * Resource type: For a specific type of MigratableResource.
-     *   * `ml_engine_model_version:*`
-     *   * `automl_model:*`,
-     *   * `automl_dataset:*`
-     *   * `data_labeling_dataset:*`.
-     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-     *   * `last_migrate_time:*` will filter migrated resources.
-     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-     * </pre>
-     *
-     * <code>string filter = 4;</code>
-     *
-     * @return The bytes for filter.
-     */
-    public com.google.protobuf.ByteString getFilterBytes() {
-      java.lang.Object ref = filter_;
-      if (ref instanceof String) {
-        com.google.protobuf.ByteString b =
-            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
-        filter_ = b;
-        return b;
-      } else {
-        return (com.google.protobuf.ByteString) ref;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Supported filters are:
-     * * Resource type: For a specific type of MigratableResource.
-     *   * `ml_engine_model_version:*`
-     *   * `automl_model:*`,
-     *   * `automl_dataset:*`
-     *   * `data_labeling_dataset:*`.
-     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-     *   * `last_migrate_time:*` will filter migrated resources.
-     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-     * </pre>
-     *
-     * <code>string filter = 4;</code>
-     *
-     * @param value The filter to set.
-     * @return This builder for chaining.
-     */
-    public Builder setFilter(java.lang.String value) {
-      if (value == null) {
-        throw new NullPointerException();
-      }
-
-      filter_ = value;
-      onChanged();
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Supported filters are:
-     * * Resource type: For a specific type of MigratableResource.
-     *   * `ml_engine_model_version:*`
-     *   * `automl_model:*`,
-     *   * `automl_dataset:*`
-     *   * `data_labeling_dataset:*`.
-     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-     *   * `last_migrate_time:*` will filter migrated resources.
-     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-     * </pre>
-     *
-     * <code>string filter = 4;</code>
-     *
-     * @return This builder for chaining.
-     */
-    public Builder clearFilter() {
-
-      filter_ = getDefaultInstance().getFilter();
-      onChanged();
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Supported filters are:
-     * * Resource type: For a specific type of MigratableResource.
-     *   * `ml_engine_model_version:*`
-     *   * `automl_model:*`,
-     *   * `automl_dataset:*`
-     *   * `data_labeling_dataset:*`.
-     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-     *   * `last_migrate_time:*` will filter migrated resources.
-     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-     * </pre>
-     *
-     * <code>string filter = 4;</code>
-     *
-     * @param value The bytes for filter to set.
-     * @return This builder for chaining.
-     */
-    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
-      if (value == null) {
-        throw new NullPointerException();
-      }
-      checkByteStringIsUtf8(value);
-
-      filter_ = value;
-      onChanged();
-      return this;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
index a7fe855c4..745f02b0f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
@@ -98,45 +98,4 @@ public interface SearchMigratableResourcesRequestOrBuilder
    * @return The bytes for pageToken.
    */
   com.google.protobuf.ByteString getPageTokenBytes();
-
-  /**
-   *
-   *
-   * <pre>
-   * Supported filters are:
-   * * Resource type: For a specific type of MigratableResource.
-   *   * `ml_engine_model_version:*`
-   *   * `automl_model:*`,
-   *   * `automl_dataset:*`
-   *   * `data_labeling_dataset:*`.
-   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-   *   * `last_migrate_time:*` will filter migrated resources.
-   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-   * </pre>
-   *
-   * <code>string filter = 4;</code>
-   *
-   * @return The filter.
-   */
-  java.lang.String getFilter();
-  /**
-   *
-   *
-   * <pre>
-   * Supported filters are:
-   * * Resource type: For a specific type of MigratableResource.
-   *   * `ml_engine_model_version:*`
-   *   * `automl_model:*`,
-   *   * `automl_dataset:*`
-   *   * `data_labeling_dataset:*`.
-   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
-   *   * `last_migrate_time:*` will filter migrated resources.
-   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-   * </pre>
-   *
-   * <code>string filter = 4;</code>
-   *
-   * @return The bytes for filter.
-   */
-  com.google.protobuf.ByteString getFilterBytes();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
index 3948ee145..f2d574cd0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
@@ -192,9 +192,11 @@ public GradientNoiseSigmaCase getGradientNoiseSigmaCase() {
    * This is a single float value and will be used to add noise to all the
    * features. Use this field when all features are normalized to have the
    * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-   * features are normalized to have 0-mean and 1-variance. For more details
-   * about normalization:
-   * https://tinyurl.com/dgc-normalization.
+   * features are normalized to have 0-mean and 1-variance. Refer to
+   * this doc for more details about normalization:
+   * https:
+   * //developers.google.com/machine-learning
+   * // /data-prep/transform/normalization.
    * For best results the recommended value is about 10% - 20% of the standard
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -715,9 +717,11 @@ public Builder clearGradientNoiseSigma() {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. For more details
-     * about normalization:
-     * https://tinyurl.com/dgc-normalization.
+     * features are normalized to have 0-mean and 1-variance. Refer to
+     * this doc for more details about normalization:
+     * https:
+     * //developers.google.com/machine-learning
+     * // /data-prep/transform/normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -743,9 +747,11 @@ public float getNoiseSigma() {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. For more details
-     * about normalization:
-     * https://tinyurl.com/dgc-normalization.
+     * features are normalized to have 0-mean and 1-variance. Refer to
+     * this doc for more details about normalization:
+     * https:
+     * //developers.google.com/machine-learning
+     * // /data-prep/transform/normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -772,9 +778,11 @@ public Builder setNoiseSigma(float value) {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. For more details
-     * about normalization:
-     * https://tinyurl.com/dgc-normalization.
+     * features are normalized to have 0-mean and 1-variance. Refer to
+     * this doc for more details about normalization:
+     * https:
+     * //developers.google.com/machine-learning
+     * // /data-prep/transform/normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
index fd7bd2dfe..47d57d5ab 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
@@ -30,9 +30,11 @@ public interface SmoothGradConfigOrBuilder
    * This is a single float value and will be used to add noise to all the
    * features. Use this field when all features are normalized to have the
    * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-   * features are normalized to have 0-mean and 1-variance. For more details
-   * about normalization:
-   * https://tinyurl.com/dgc-normalization.
+   * features are normalized to have 0-mean and 1-variance. Refer to
+   * this doc for more details about normalization:
+   * https:
+   * //developers.google.com/machine-learning
+   * // /data-prep/transform/normalization.
    * For best results the recommended value is about 10% - 20% of the standard
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
index d769cfb2d..4873428eb 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
@@ -101,100 +101,87 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "google/api/field_behavior.proto\032\031google/"
           + "api/resource.proto\032\036google/protobuf/dura"
           + "tion.proto\032\034google/protobuf/struct.proto"
-          + "\032\037google/protobuf/timestamp.proto\032\036googl"
-          + "e/protobuf/wrappers.proto\032\034google/api/an"
-          + "notations.proto\"\306\005\n\005Trial\022\017\n\002id\030\002 \001(\tB\003\340"
-          + "A\003\022@\n\005state\030\003 \001(\0162,.google.cloud.aiplatf"
-          + "orm.v1beta1.Trial.StateB\003\340A\003\022I\n\nparamete"
-          + "rs\030\004 \003(\01320.google.cloud.aiplatform.v1bet"
-          + "a1.Trial.ParameterB\003\340A\003\022L\n\021final_measure"
-          + "ment\030\005 \001(\0132,.google.cloud.aiplatform.v1b"
-          + "eta1.MeasurementB\003\340A\003\0223\n\nstart_time\030\007 \001("
-          + "\0132\032.google.protobuf.TimestampB\003\340A\003\0221\n\010en"
-          + "d_time\030\010 \001(\0132\032.google.protobuf.Timestamp"
-          + "B\003\340A\003\022?\n\ncustom_job\030\013 \001(\tB+\340A\003\372A%\n#aipla"
-          + "tform.googleapis.com/CustomJob\032R\n\tParame"
-          + "ter\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\003\022*\n\005value\030"
-          + "\002 \001(\0132\026.google.protobuf.ValueB\003\340A\003\"f\n\005St"
-          + "ate\022\025\n\021STATE_UNSPECIFIED\020\000\022\r\n\tREQUESTED\020"
-          + "\001\022\n\n\006ACTIVE\020\002\022\014\n\010STOPPING\020\003\022\r\n\tSUCCEEDED"
-          + "\020\004\022\016\n\nINFEASIBLE\020\005:l\352Ai\n\037aiplatform.goog"
-          + "leapis.com/Trial\022Fprojects/{project}/loc"
-          + "ations/{location}/studies/{study}/trials"
-          + "/{trial}\"\307\024\n\tStudySpec\022K\n\007metrics\030\001 \003(\0132"
-          + "5.google.cloud.aiplatform.v1beta1.StudyS"
-          + "pec.MetricSpecB\003\340A\002\022Q\n\nparameters\030\002 \003(\0132"
-          + "8.google.cloud.aiplatform.v1beta1.StudyS"
-          + "pec.ParameterSpecB\003\340A\002\022G\n\talgorithm\030\003 \001("
-          + "\01624.google.cloud.aiplatform.v1beta1.Stud"
-          + "ySpec.Algorithm\022V\n\021observation_noise\030\006 \001"
-          + "(\0162;.google.cloud.aiplatform.v1beta1.Stu"
-          + "dySpec.ObservationNoise\022g\n\032measurement_s"
-          + "election_type\030\007 \001(\0162C.google.cloud.aipla"
-          + "tform.v1beta1.StudySpec.MeasurementSelec"
-          + "tionType\032\272\001\n\nMetricSpec\022\026\n\tmetric_id\030\001 \001"
-          + "(\tB\003\340A\002\022Q\n\004goal\030\002 \001(\0162>.google.cloud.aip"
-          + "latform.v1beta1.StudySpec.MetricSpec.Goa"
-          + "lTypeB\003\340A\002\"A\n\010GoalType\022\031\n\025GOAL_TYPE_UNSP"
-          + "ECIFIED\020\000\022\014\n\010MAXIMIZE\020\001\022\014\n\010MINIMIZE\020\002\032\310\r"
-          + "\n\rParameterSpec\022e\n\021double_value_spec\030\002 \001"
-          + "(\0132H.google.cloud.aiplatform.v1beta1.Stu"
-          + "dySpec.ParameterSpec.DoubleValueSpecH\000\022g"
-          + "\n\022integer_value_spec\030\003 \001(\0132I.google.clou"
-          + "d.aiplatform.v1beta1.StudySpec.Parameter"
-          + "Spec.IntegerValueSpecH\000\022o\n\026categorical_v"
-          + "alue_spec\030\004 \001(\0132M.google.cloud.aiplatfor"
-          + "m.v1beta1.StudySpec.ParameterSpec.Catego"
-          + "ricalValueSpecH\000\022i\n\023discrete_value_spec\030"
-          + "\005 \001(\0132J.google.cloud.aiplatform.v1beta1."
-          + "StudySpec.ParameterSpec.DiscreteValueSpe"
-          + "cH\000\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\002\022V\n\nscale_"
-          + "type\030\006 \001(\0162B.google.cloud.aiplatform.v1b"
-          + "eta1.StudySpec.ParameterSpec.ScaleType\022v"
-          + "\n\033conditional_parameter_specs\030\n \003(\0132Q.go"
+          + "\032\037google/protobuf/timestamp.proto\032\034googl"
+          + "e/api/annotations.proto\"\330\004\n\005Trial\022\017\n\002id\030"
+          + "\002 \001(\tB\003\340A\003\022@\n\005state\030\003 \001(\0162,.google.cloud"
+          + ".aiplatform.v1beta1.Trial.StateB\003\340A\003\022I\n\n"
+          + "parameters\030\004 \003(\01320.google.cloud.aiplatfo"
+          + "rm.v1beta1.Trial.ParameterB\003\340A\003\022L\n\021final"
+          + "_measurement\030\005 \001(\0132,.google.cloud.aiplat"
+          + "form.v1beta1.MeasurementB\003\340A\003\0223\n\nstart_t"
+          + "ime\030\007 \001(\0132\032.google.protobuf.TimestampB\003\340"
+          + "A\003\0221\n\010end_time\030\010 \001(\0132\032.google.protobuf.T"
+          + "imestampB\003\340A\003\022?\n\ncustom_job\030\013 \001(\tB+\340A\003\372A"
+          + "%\n#aiplatform.googleapis.com/CustomJob\032R"
+          + "\n\tParameter\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\003\022*"
+          + "\n\005value\030\002 \001(\0132\026.google.protobuf.ValueB\003\340"
+          + "A\003\"f\n\005State\022\025\n\021STATE_UNSPECIFIED\020\000\022\r\n\tRE"
+          + "QUESTED\020\001\022\n\n\006ACTIVE\020\002\022\014\n\010STOPPING\020\003\022\r\n\tS"
+          + "UCCEEDED\020\004\022\016\n\nINFEASIBLE\020\005\"\310\021\n\tStudySpec"
+          + "\022K\n\007metrics\030\001 \003(\01325.google.cloud.aiplatf"
+          + "orm.v1beta1.StudySpec.MetricSpecB\003\340A\002\022Q\n"
+          + "\nparameters\030\002 \003(\01328.google.cloud.aiplatf"
+          + "orm.v1beta1.StudySpec.ParameterSpecB\003\340A\002"
+          + "\022G\n\talgorithm\030\003 \001(\01624.google.cloud.aipla"
+          + "tform.v1beta1.StudySpec.Algorithm\032\272\001\n\nMe"
+          + "tricSpec\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\002\022Q\n\004goal"
+          + "\030\002 \001(\0162>.google.cloud.aiplatform.v1beta1"
+          + ".StudySpec.MetricSpec.GoalTypeB\003\340A\002\"A\n\010G"
+          + "oalType\022\031\n\025GOAL_TYPE_UNSPECIFIED\020\000\022\014\n\010MA"
+          + "XIMIZE\020\001\022\014\n\010MINIMIZE\020\002\032\310\r\n\rParameterSpec"
+          + "\022e\n\021double_value_spec\030\002 \001(\0132H.google.clo"
+          + "ud.aiplatform.v1beta1.StudySpec.Paramete"
+          + "rSpec.DoubleValueSpecH\000\022g\n\022integer_value"
+          + "_spec\030\003 \001(\0132I.google.cloud.aiplatform.v1"
+          + "beta1.StudySpec.ParameterSpec.IntegerVal"
+          + "ueSpecH\000\022o\n\026categorical_value_spec\030\004 \001(\013"
+          + "2M.google.cloud.aiplatform.v1beta1.Study"
+          + "Spec.ParameterSpec.CategoricalValueSpecH"
+          + "\000\022i\n\023discrete_value_spec\030\005 \001(\0132J.google."
+          + "cloud.aiplatform.v1beta1.StudySpec.Param"
+          + "eterSpec.DiscreteValueSpecH\000\022\031\n\014paramete"
+          + "r_id\030\001 \001(\tB\003\340A\002\022V\n\nscale_type\030\006 \001(\0162B.go"
           + "ogle.cloud.aiplatform.v1beta1.StudySpec."
-          + "ParameterSpec.ConditionalParameterSpec\032A"
-          + "\n\017DoubleValueSpec\022\026\n\tmin_value\030\001 \001(\001B\003\340A"
-          + "\002\022\026\n\tmax_value\030\002 \001(\001B\003\340A\002\032B\n\020IntegerValu"
-          + "eSpec\022\026\n\tmin_value\030\001 \001(\003B\003\340A\002\022\026\n\tmax_val"
-          + "ue\030\002 \001(\003B\003\340A\002\032+\n\024CategoricalValueSpec\022\023\n"
-          + "\006values\030\001 \003(\tB\003\340A\002\032(\n\021DiscreteValueSpec\022"
-          + "\023\n\006values\030\001 \003(\001B\003\340A\002\032\271\005\n\030ConditionalPara"
-          + "meterSpec\022\212\001\n\026parent_discrete_values\030\002 \001"
-          + "(\0132h.google.cloud.aiplatform.v1beta1.Stu"
-          + "dySpec.ParameterSpec.ConditionalParamete"
-          + "rSpec.DiscreteValueConditionH\000\022\200\001\n\021paren"
-          + "t_int_values\030\003 \001(\0132c.google.cloud.aiplat"
-          + "form.v1beta1.StudySpec.ParameterSpec.Con"
-          + "ditionalParameterSpec.IntValueConditionH"
-          + "\000\022\220\001\n\031parent_categorical_values\030\004 \001(\0132k."
+          + "ParameterSpec.ScaleType\022v\n\033conditional_p"
+          + "arameter_specs\030\n \003(\0132Q.google.cloud.aipl"
+          + "atform.v1beta1.StudySpec.ParameterSpec.C"
+          + "onditionalParameterSpec\032A\n\017DoubleValueSp"
+          + "ec\022\026\n\tmin_value\030\001 \001(\001B\003\340A\002\022\026\n\tmax_value\030"
+          + "\002 \001(\001B\003\340A\002\032B\n\020IntegerValueSpec\022\026\n\tmin_va"
+          + "lue\030\001 \001(\003B\003\340A\002\022\026\n\tmax_value\030\002 \001(\003B\003\340A\002\032+"
+          + "\n\024CategoricalValueSpec\022\023\n\006values\030\001 \003(\tB\003"
+          + "\340A\002\032(\n\021DiscreteValueSpec\022\023\n\006values\030\001 \003(\001"
+          + "B\003\340A\002\032\271\005\n\030ConditionalParameterSpec\022\212\001\n\026p"
+          + "arent_discrete_values\030\002 \001(\0132h.google.clo"
+          + "ud.aiplatform.v1beta1.StudySpec.Paramete"
+          + "rSpec.ConditionalParameterSpec.DiscreteV"
+          + "alueConditionH\000\022\200\001\n\021parent_int_values\030\003 "
+          + "\001(\0132c.google.cloud.aiplatform.v1beta1.St"
+          + "udySpec.ParameterSpec.ConditionalParamet"
+          + "erSpec.IntValueConditionH\000\022\220\001\n\031parent_ca"
+          + "tegorical_values\030\004 \001(\0132k.google.cloud.ai"
+          + "platform.v1beta1.StudySpec.ParameterSpec"
+          + ".ConditionalParameterSpec.CategoricalVal"
+          + "ueConditionH\000\022U\n\016parameter_spec\030\001 \001(\01328."
           + "google.cloud.aiplatform.v1beta1.StudySpe"
-          + "c.ParameterSpec.ConditionalParameterSpec"
-          + ".CategoricalValueConditionH\000\022U\n\016paramete"
-          + "r_spec\030\001 \001(\01328.google.cloud.aiplatform.v"
-          + "1beta1.StudySpec.ParameterSpecB\003\340A\002\032-\n\026D"
-          + "iscreteValueCondition\022\023\n\006values\030\001 \003(\001B\003\340"
-          + "A\002\032(\n\021IntValueCondition\022\023\n\006values\030\001 \003(\003B"
-          + "\003\340A\002\0320\n\031CategoricalValueCondition\022\023\n\006val"
-          + "ues\030\001 \003(\tB\003\340A\002B\030\n\026parent_value_condition"
-          + "\"n\n\tScaleType\022\032\n\026SCALE_TYPE_UNSPECIFIED\020"
-          + "\000\022\025\n\021UNIT_LINEAR_SCALE\020\001\022\022\n\016UNIT_LOG_SCA"
-          + "LE\020\002\022\032\n\026UNIT_REVERSE_LOG_SCALE\020\003B\026\n\024para"
-          + "meter_value_spec\"J\n\tAlgorithm\022\031\n\025ALGORIT"
-          + "HM_UNSPECIFIED\020\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRAN"
-          + "DOM_SEARCH\020\003\"H\n\020ObservationNoise\022!\n\035OBSE"
-          + "RVATION_NOISE_UNSPECIFIED\020\000\022\007\n\003LOW\020\001\022\010\n\004"
-          + "HIGH\020\002\"r\n\030MeasurementSelectionType\022*\n&ME"
-          + "ASUREMENT_SELECTION_TYPE_UNSPECIFIED\020\000\022\024"
-          + "\n\020LAST_MEASUREMENT\020\001\022\024\n\020BEST_MEASUREMENT"
-          + "\020\002\"\247\001\n\013Measurement\022\027\n\nstep_count\030\002 \001(\003B\003"
-          + "\340A\003\022I\n\007metrics\030\003 \003(\01323.google.cloud.aipl"
-          + "atform.v1beta1.Measurement.MetricB\003\340A\003\0324"
-          + "\n\006Metric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005valu"
-          + "e\030\002 \001(\001B\003\340A\003B~\n#com.google.cloud.aiplatf"
-          + "orm.v1beta1B\nStudyProtoP\001ZIgoogle.golang"
-          + ".org/genproto/googleapis/cloud/aiplatfor"
-          + "m/v1beta1;aiplatformb\006proto3"
+          + "c.ParameterSpecB\003\340A\002\032-\n\026DiscreteValueCon"
+          + "dition\022\023\n\006values\030\001 \003(\001B\003\340A\002\032(\n\021IntValueC"
+          + "ondition\022\023\n\006values\030\001 \003(\003B\003\340A\002\0320\n\031Categor"
+          + "icalValueCondition\022\023\n\006values\030\001 \003(\tB\003\340A\002B"
+          + "\030\n\026parent_value_condition\"n\n\tScaleType\022\032"
+          + "\n\026SCALE_TYPE_UNSPECIFIED\020\000\022\025\n\021UNIT_LINEA"
+          + "R_SCALE\020\001\022\022\n\016UNIT_LOG_SCALE\020\002\022\032\n\026UNIT_RE"
+          + "VERSE_LOG_SCALE\020\003B\026\n\024parameter_value_spe"
+          + "c\"J\n\tAlgorithm\022\031\n\025ALGORITHM_UNSPECIFIED\020"
+          + "\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRANDOM_SEARCH\020\003\"\247\001"
+          + "\n\013Measurement\022\027\n\nstep_count\030\002 \001(\003B\003\340A\003\022I"
+          + "\n\007metrics\030\003 \003(\01323.google.cloud.aiplatfor"
+          + "m.v1beta1.Measurement.MetricB\003\340A\003\0324\n\006Met"
+          + "ric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005value\030\002 \001"
+          + "(\001B\003\340A\003B~\n#com.google.cloud.aiplatform.v"
+          + "1beta1B\nStudyProtoP\001ZIgoogle.golang.org/"
+          + "genproto/googleapis/cloud/aiplatform/v1b"
+          + "eta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -205,7 +192,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.protobuf.DurationProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
-              com.google.protobuf.WrappersProto.getDescriptor(),
               com.google.api.AnnotationsProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_Trial_descriptor =
@@ -230,7 +216,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_StudySpec_descriptor,
             new java.lang.String[] {
-              "Metrics", "Parameters", "Algorithm", "ObservationNoise", "MeasurementSelectionType",
+              "Metrics", "Parameters", "Algorithm",
             });
     internal_static_google_cloud_aiplatform_v1beta1_StudySpec_MetricSpec_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_StudySpec_descriptor
@@ -364,7 +350,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
     registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
-    registry.add(com.google.api.ResourceProto.resource);
     registry.add(com.google.api.ResourceProto.resourceReference);
     com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
         descriptor, registry);
@@ -373,7 +358,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.protobuf.DurationProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
-    com.google.protobuf.WrappersProto.getDescriptor();
     com.google.api.AnnotationsProto.getDescriptor();
   }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
index 4b8c8ce8b..251335b9d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
@@ -41,8 +41,6 @@ private StudySpec() {
     metrics_ = java.util.Collections.emptyList();
     parameters_ = java.util.Collections.emptyList();
     algorithm_ = 0;
-    observationNoise_ = 0;
-    measurementSelectionType_ = 0;
   }
 
   @java.lang.Override
@@ -110,20 +108,6 @@ private StudySpec(
               algorithm_ = rawValue;
               break;
             }
-          case 48:
-            {
-              int rawValue = input.readEnum();
-
-              observationNoise_ = rawValue;
-              break;
-            }
-          case 56:
-            {
-              int rawValue = input.readEnum();
-
-              measurementSelectionType_ = rawValue;
-              break;
-            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -323,345 +307,6 @@ private Algorithm(int value) {
     // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.Algorithm)
   }
 
-  /**
-   *
-   *
-   * <pre>
-   * Describes the noise level of the repeated observations.
-   * "Noisy" means that the repeated observations with the same Trial parameters
-   * may lead to different metric evaluations.
-   * </pre>
-   *
-   * Protobuf enum {@code google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise}
-   */
-  public enum ObservationNoise implements com.google.protobuf.ProtocolMessageEnum {
-    /**
-     *
-     *
-     * <pre>
-     * The default noise level chosen by the AI Platform service.
-     * </pre>
-     *
-     * <code>OBSERVATION_NOISE_UNSPECIFIED = 0;</code>
-     */
-    OBSERVATION_NOISE_UNSPECIFIED(0),
-    /**
-     *
-     *
-     * <pre>
-     * AI Platform Vizier assumes that the objective function is (nearly)
-     * perfectly reproducible, and will never repeat the same Trial
-     * parameters.
-     * </pre>
-     *
-     * <code>LOW = 1;</code>
-     */
-    LOW(1),
-    /**
-     *
-     *
-     * <pre>
-     * AI Platform Vizier will estimate the amount of noise in metric
-     * evaluations, it may repeat the same Trial parameters more than once.
-     * </pre>
-     *
-     * <code>HIGH = 2;</code>
-     */
-    HIGH(2),
-    UNRECOGNIZED(-1),
-    ;
-
-    /**
-     *
-     *
-     * <pre>
-     * The default noise level chosen by the AI Platform service.
-     * </pre>
-     *
-     * <code>OBSERVATION_NOISE_UNSPECIFIED = 0;</code>
-     */
-    public static final int OBSERVATION_NOISE_UNSPECIFIED_VALUE = 0;
-    /**
-     *
-     *
-     * <pre>
-     * AI Platform Vizier assumes that the objective function is (nearly)
-     * perfectly reproducible, and will never repeat the same Trial
-     * parameters.
-     * </pre>
-     *
-     * <code>LOW = 1;</code>
-     */
-    public static final int LOW_VALUE = 1;
-    /**
-     *
-     *
-     * <pre>
-     * AI Platform Vizier will estimate the amount of noise in metric
-     * evaluations, it may repeat the same Trial parameters more than once.
-     * </pre>
-     *
-     * <code>HIGH = 2;</code>
-     */
-    public static final int HIGH_VALUE = 2;
-
-    public final int getNumber() {
-      if (this == UNRECOGNIZED) {
-        throw new java.lang.IllegalArgumentException(
-            "Can't get the number of an unknown enum value.");
-      }
-      return value;
-    }
-
-    /**
-     * @param value The numeric wire value of the corresponding enum entry.
-     * @return The enum associated with the given numeric wire value.
-     * @deprecated Use {@link #forNumber(int)} instead.
-     */
-    @java.lang.Deprecated
-    public static ObservationNoise valueOf(int value) {
-      return forNumber(value);
-    }
-
-    /**
-     * @param value The numeric wire value of the corresponding enum entry.
-     * @return The enum associated with the given numeric wire value.
-     */
-    public static ObservationNoise forNumber(int value) {
-      switch (value) {
-        case 0:
-          return OBSERVATION_NOISE_UNSPECIFIED;
-        case 1:
-          return LOW;
-        case 2:
-          return HIGH;
-        default:
-          return null;
-      }
-    }
-
-    public static com.google.protobuf.Internal.EnumLiteMap<ObservationNoise> internalGetValueMap() {
-      return internalValueMap;
-    }
-
-    private static final com.google.protobuf.Internal.EnumLiteMap<ObservationNoise>
-        internalValueMap =
-            new com.google.protobuf.Internal.EnumLiteMap<ObservationNoise>() {
-              public ObservationNoise findValueByNumber(int number) {
-                return ObservationNoise.forNumber(number);
-              }
-            };
-
-    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
-      if (this == UNRECOGNIZED) {
-        throw new java.lang.IllegalStateException(
-            "Can't get the descriptor of an unrecognized enum value.");
-      }
-      return getDescriptor().getValues().get(ordinal());
-    }
-
-    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
-      return getDescriptor();
-    }
-
-    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
-      return com.google.cloud.aiplatform.v1beta1.StudySpec.getDescriptor().getEnumTypes().get(1);
-    }
-
-    private static final ObservationNoise[] VALUES = values();
-
-    public static ObservationNoise valueOf(
-        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
-      if (desc.getType() != getDescriptor()) {
-        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
-      }
-      if (desc.getIndex() == -1) {
-        return UNRECOGNIZED;
-      }
-      return VALUES[desc.getIndex()];
-    }
-
-    private final int value;
-
-    private ObservationNoise(int value) {
-      this.value = value;
-    }
-
-    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise)
-  }
-
-  /**
-   *
-   *
-   * <pre>
-   * This indicates which measurement to use if/when the service automatically
-   * selects the final measurement from previously reported intermediate
-   * measurements. Choose this based on two considerations:
-   *  A) Do you expect your measurements to monotonically improve?
-   *     If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
-   *     situation where your system can "over-train" and you expect the
-   *     performance to get better for a while but then start declining,
-   *     choose BEST_MEASUREMENT.
-   *  B) Are your measurements significantly noisy and/or irreproducible?
-   *     If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
-   *     may be better to choose LAST_MEASUREMENT.
-   *  If both or neither of (A) and (B) apply, it doesn't matter which
-   *  selection type is chosen.
-   * </pre>
-   *
-   * Protobuf enum {@code google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType}
-   */
-  public enum MeasurementSelectionType implements com.google.protobuf.ProtocolMessageEnum {
-    /**
-     *
-     *
-     * <pre>
-     * Will be treated as LAST_MEASUREMENT.
-     * </pre>
-     *
-     * <code>MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;</code>
-     */
-    MEASUREMENT_SELECTION_TYPE_UNSPECIFIED(0),
-    /**
-     *
-     *
-     * <pre>
-     * Use the last measurement reported.
-     * </pre>
-     *
-     * <code>LAST_MEASUREMENT = 1;</code>
-     */
-    LAST_MEASUREMENT(1),
-    /**
-     *
-     *
-     * <pre>
-     * Use the best measurement reported.
-     * </pre>
-     *
-     * <code>BEST_MEASUREMENT = 2;</code>
-     */
-    BEST_MEASUREMENT(2),
-    UNRECOGNIZED(-1),
-    ;
-
-    /**
-     *
-     *
-     * <pre>
-     * Will be treated as LAST_MEASUREMENT.
-     * </pre>
-     *
-     * <code>MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;</code>
-     */
-    public static final int MEASUREMENT_SELECTION_TYPE_UNSPECIFIED_VALUE = 0;
-    /**
-     *
-     *
-     * <pre>
-     * Use the last measurement reported.
-     * </pre>
-     *
-     * <code>LAST_MEASUREMENT = 1;</code>
-     */
-    public static final int LAST_MEASUREMENT_VALUE = 1;
-    /**
-     *
-     *
-     * <pre>
-     * Use the best measurement reported.
-     * </pre>
-     *
-     * <code>BEST_MEASUREMENT = 2;</code>
-     */
-    public static final int BEST_MEASUREMENT_VALUE = 2;
-
-    public final int getNumber() {
-      if (this == UNRECOGNIZED) {
-        throw new java.lang.IllegalArgumentException(
-            "Can't get the number of an unknown enum value.");
-      }
-      return value;
-    }
-
-    /**
-     * @param value The numeric wire value of the corresponding enum entry.
-     * @return The enum associated with the given numeric wire value.
-     * @deprecated Use {@link #forNumber(int)} instead.
-     */
-    @java.lang.Deprecated
-    public static MeasurementSelectionType valueOf(int value) {
-      return forNumber(value);
-    }
-
-    /**
-     * @param value The numeric wire value of the corresponding enum entry.
-     * @return The enum associated with the given numeric wire value.
-     */
-    public static MeasurementSelectionType forNumber(int value) {
-      switch (value) {
-        case 0:
-          return MEASUREMENT_SELECTION_TYPE_UNSPECIFIED;
-        case 1:
-          return LAST_MEASUREMENT;
-        case 2:
-          return BEST_MEASUREMENT;
-        default:
-          return null;
-      }
-    }
-
-    public static com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>
-        internalGetValueMap() {
-      return internalValueMap;
-    }
-
-    private static final com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>
-        internalValueMap =
-            new com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>() {
-              public MeasurementSelectionType findValueByNumber(int number) {
-                return MeasurementSelectionType.forNumber(number);
-              }
-            };
-
-    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
-      if (this == UNRECOGNIZED) {
-        throw new java.lang.IllegalStateException(
-            "Can't get the descriptor of an unrecognized enum value.");
-      }
-      return getDescriptor().getValues().get(ordinal());
-    }
-
-    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
-      return getDescriptor();
-    }
-
-    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
-      return com.google.cloud.aiplatform.v1beta1.StudySpec.getDescriptor().getEnumTypes().get(2);
-    }
-
-    private static final MeasurementSelectionType[] VALUES = values();
-
-    public static MeasurementSelectionType valueOf(
-        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
-      if (desc.getType() != getDescriptor()) {
-        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
-      }
-      if (desc.getIndex() == -1) {
-        return UNRECOGNIZED;
-      }
-      return VALUES[desc.getIndex()];
-    }
-
-    private final int value;
-
-    private MeasurementSelectionType(int value) {
-      this.value = value;
-    }
-
-    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType)
-  }
-
   public interface MetricSpecOrBuilder
       extends
       // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec)
@@ -13334,92 +12979,6 @@ public com.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm getAlgorithm() {
         : result;
   }
 
-  public static final int OBSERVATION_NOISE_FIELD_NUMBER = 6;
-  private int observationNoise_;
-  /**
-   *
-   *
-   * <pre>
-   * The observation noise level of the study.
-   * Currently only supported by the Vizier service. Not supported by
-   * HyperparamterTuningJob or TrainingPipeline.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
-   *
-   * @return The enum numeric value on the wire for observationNoise.
-   */
-  @java.lang.Override
-  public int getObservationNoiseValue() {
-    return observationNoise_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * The observation noise level of the study.
-   * Currently only supported by the Vizier service. Not supported by
-   * HyperparamterTuningJob or TrainingPipeline.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
-   *
-   * @return The observationNoise.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise() {
-    @SuppressWarnings("deprecation")
-    com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise result =
-        com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.valueOf(observationNoise_);
-    return result == null
-        ? com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.UNRECOGNIZED
-        : result;
-  }
-
-  public static final int MEASUREMENT_SELECTION_TYPE_FIELD_NUMBER = 7;
-  private int measurementSelectionType_;
-  /**
-   *
-   *
-   * <pre>
-   * Describe which measurement selection type will be used
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-   * </code>
-   *
-   * @return The enum numeric value on the wire for measurementSelectionType.
-   */
-  @java.lang.Override
-  public int getMeasurementSelectionTypeValue() {
-    return measurementSelectionType_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Describe which measurement selection type will be used
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-   * </code>
-   *
-   * @return The measurementSelectionType.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
-      getMeasurementSelectionType() {
-    @SuppressWarnings("deprecation")
-    com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType result =
-        com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.valueOf(
-            measurementSelectionType_);
-    return result == null
-        ? com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.UNRECOGNIZED
-        : result;
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -13445,18 +13004,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
             .getNumber()) {
       output.writeEnum(3, algorithm_);
     }
-    if (observationNoise_
-        != com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise
-            .OBSERVATION_NOISE_UNSPECIFIED
-            .getNumber()) {
-      output.writeEnum(6, observationNoise_);
-    }
-    if (measurementSelectionType_
-        != com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
-            .MEASUREMENT_SELECTION_TYPE_UNSPECIFIED
-            .getNumber()) {
-      output.writeEnum(7, measurementSelectionType_);
-    }
     unknownFields.writeTo(output);
   }
 
@@ -13477,18 +13024,6 @@ public int getSerializedSize() {
             .getNumber()) {
       size += com.google.protobuf.CodedOutputStream.computeEnumSize(3, algorithm_);
     }
-    if (observationNoise_
-        != com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise
-            .OBSERVATION_NOISE_UNSPECIFIED
-            .getNumber()) {
-      size += com.google.protobuf.CodedOutputStream.computeEnumSize(6, observationNoise_);
-    }
-    if (measurementSelectionType_
-        != com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
-            .MEASUREMENT_SELECTION_TYPE_UNSPECIFIED
-            .getNumber()) {
-      size += com.google.protobuf.CodedOutputStream.computeEnumSize(7, measurementSelectionType_);
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -13508,8 +13043,6 @@ public boolean equals(final java.lang.Object obj) {
     if (!getMetricsList().equals(other.getMetricsList())) return false;
     if (!getParametersList().equals(other.getParametersList())) return false;
     if (algorithm_ != other.algorithm_) return false;
-    if (observationNoise_ != other.observationNoise_) return false;
-    if (measurementSelectionType_ != other.measurementSelectionType_) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -13531,10 +13064,6 @@ public int hashCode() {
     }
     hash = (37 * hash) + ALGORITHM_FIELD_NUMBER;
     hash = (53 * hash) + algorithm_;
-    hash = (37 * hash) + OBSERVATION_NOISE_FIELD_NUMBER;
-    hash = (53 * hash) + observationNoise_;
-    hash = (37 * hash) + MEASUREMENT_SELECTION_TYPE_FIELD_NUMBER;
-    hash = (53 * hash) + measurementSelectionType_;
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -13697,10 +13226,6 @@ public Builder clear() {
       }
       algorithm_ = 0;
 
-      observationNoise_ = 0;
-
-      measurementSelectionType_ = 0;
-
       return this;
     }
 
@@ -13748,8 +13273,6 @@ public com.google.cloud.aiplatform.v1beta1.StudySpec buildPartial() {
         result.parameters_ = parametersBuilder_.build();
       }
       result.algorithm_ = algorithm_;
-      result.observationNoise_ = observationNoise_;
-      result.measurementSelectionType_ = measurementSelectionType_;
       onBuilt();
       return result;
     }
@@ -13856,12 +13379,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.StudySpec other) {
       if (other.algorithm_ != 0) {
         setAlgorithmValue(other.getAlgorithmValue());
       }
-      if (other.observationNoise_ != 0) {
-        setObservationNoiseValue(other.getObservationNoiseValue());
-      }
-      if (other.measurementSelectionType_ != 0) {
-        setMeasurementSelectionTypeValue(other.getMeasurementSelectionTypeValue());
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -14789,221 +14306,6 @@ public Builder clearAlgorithm() {
       return this;
     }
 
-    private int observationNoise_ = 0;
-    /**
-     *
-     *
-     * <pre>
-     * The observation noise level of the study.
-     * Currently only supported by the Vizier service. Not supported by
-     * HyperparamterTuningJob or TrainingPipeline.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
-     * </code>
-     *
-     * @return The enum numeric value on the wire for observationNoise.
-     */
-    @java.lang.Override
-    public int getObservationNoiseValue() {
-      return observationNoise_;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The observation noise level of the study.
-     * Currently only supported by the Vizier service. Not supported by
-     * HyperparamterTuningJob or TrainingPipeline.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
-     * </code>
-     *
-     * @param value The enum numeric value on the wire for observationNoise to set.
-     * @return This builder for chaining.
-     */
-    public Builder setObservationNoiseValue(int value) {
-
-      observationNoise_ = value;
-      onChanged();
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The observation noise level of the study.
-     * Currently only supported by the Vizier service. Not supported by
-     * HyperparamterTuningJob or TrainingPipeline.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
-     * </code>
-     *
-     * @return The observationNoise.
-     */
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise() {
-      @SuppressWarnings("deprecation")
-      com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise result =
-          com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.valueOf(observationNoise_);
-      return result == null
-          ? com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.UNRECOGNIZED
-          : result;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The observation noise level of the study.
-     * Currently only supported by the Vizier service. Not supported by
-     * HyperparamterTuningJob or TrainingPipeline.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
-     * </code>
-     *
-     * @param value The observationNoise to set.
-     * @return This builder for chaining.
-     */
-    public Builder setObservationNoise(
-        com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise value) {
-      if (value == null) {
-        throw new NullPointerException();
-      }
-
-      observationNoise_ = value.getNumber();
-      onChanged();
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The observation noise level of the study.
-     * Currently only supported by the Vizier service. Not supported by
-     * HyperparamterTuningJob or TrainingPipeline.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
-     * </code>
-     *
-     * @return This builder for chaining.
-     */
-    public Builder clearObservationNoise() {
-
-      observationNoise_ = 0;
-      onChanged();
-      return this;
-    }
-
-    private int measurementSelectionType_ = 0;
-    /**
-     *
-     *
-     * <pre>
-     * Describe which measurement selection type will be used
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-     * </code>
-     *
-     * @return The enum numeric value on the wire for measurementSelectionType.
-     */
-    @java.lang.Override
-    public int getMeasurementSelectionTypeValue() {
-      return measurementSelectionType_;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Describe which measurement selection type will be used
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-     * </code>
-     *
-     * @param value The enum numeric value on the wire for measurementSelectionType to set.
-     * @return This builder for chaining.
-     */
-    public Builder setMeasurementSelectionTypeValue(int value) {
-
-      measurementSelectionType_ = value;
-      onChanged();
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Describe which measurement selection type will be used
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-     * </code>
-     *
-     * @return The measurementSelectionType.
-     */
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
-        getMeasurementSelectionType() {
-      @SuppressWarnings("deprecation")
-      com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType result =
-          com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.valueOf(
-              measurementSelectionType_);
-      return result == null
-          ? com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.UNRECOGNIZED
-          : result;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Describe which measurement selection type will be used
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-     * </code>
-     *
-     * @param value The measurementSelectionType to set.
-     * @return This builder for chaining.
-     */
-    public Builder setMeasurementSelectionType(
-        com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType value) {
-      if (value == null) {
-        throw new NullPointerException();
-      }
-
-      measurementSelectionType_ = value.getNumber();
-      onChanged();
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Describe which measurement selection type will be used
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-     * </code>
-     *
-     * @return This builder for chaining.
-     */
-    public Builder clearMeasurementSelectionType() {
-
-      measurementSelectionType_ = 0;
-      onChanged();
-      return this;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
index fcbd0fde9..558724456 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
@@ -172,63 +172,4 @@ com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpecOrBuilder getParamete
    * @return The algorithm.
    */
   com.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm getAlgorithm();
-
-  /**
-   *
-   *
-   * <pre>
-   * The observation noise level of the study.
-   * Currently only supported by the Vizier service. Not supported by
-   * HyperparamterTuningJob or TrainingPipeline.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
-   *
-   * @return The enum numeric value on the wire for observationNoise.
-   */
-  int getObservationNoiseValue();
-  /**
-   *
-   *
-   * <pre>
-   * The observation noise level of the study.
-   * Currently only supported by the Vizier service. Not supported by
-   * HyperparamterTuningJob or TrainingPipeline.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
-   *
-   * @return The observationNoise.
-   */
-  com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise();
-
-  /**
-   *
-   *
-   * <pre>
-   * Describe which measurement selection type will be used
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-   * </code>
-   *
-   * @return The enum numeric value on the wire for measurementSelectionType.
-   */
-  int getMeasurementSelectionTypeValue();
-  /**
-   *
-   *
-   * <pre>
-   * Describe which measurement selection type will be used
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
-   * </code>
-   *
-   * @return The measurementSelectionType.
-   */
-  com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
-      getMeasurementSelectionType();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
index 03f4b1206..353aa7d57 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
@@ -254,23 +254,6 @@ private TrainingPipeline(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
-              break;
-            }
-          case 146:
-            {
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
-              if (encryptionSpec_ != null) {
-                subBuilder = encryptionSpec_.toBuilder();
-              }
-              encryptionSpec_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(encryptionSpec_);
-                encryptionSpec_ = subBuilder.buildPartial();
-              }
-
               break;
             }
           default:
@@ -672,7 +655,7 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -700,7 +683,7 @@ public boolean hasModelToUpload() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -730,7 +713,7 @@ public com.google.cloud.aiplatform.v1beta1.Model getModelToUpload() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -1161,63 +1144,6 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
-  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 18;
-  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-   * TrainingPipeline will be secured by this key.
-   * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  @java.lang.Override
-  public boolean hasEncryptionSpec() {
-    return encryptionSpec_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-   * TrainingPipeline will be secured by this key.
-   * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-    return encryptionSpec_ == null
-        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-        : encryptionSpec_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-   * TrainingPipeline will be secured by this key.
-   * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
-    return getEncryptionSpec();
-  }
-
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -1275,9 +1201,6 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 15);
-    if (encryptionSpec_ != null) {
-      output.writeMessage(18, getEncryptionSpec());
-    }
     unknownFields.writeTo(output);
   }
 
@@ -1339,9 +1262,6 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(15, labels__);
     }
-    if (encryptionSpec_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(18, getEncryptionSpec());
-    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1399,10 +1319,6 @@ public boolean equals(final java.lang.Object obj) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
-    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
-    if (hasEncryptionSpec()) {
-      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
-    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1462,10 +1378,6 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
-    if (hasEncryptionSpec()) {
-      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
-      hash = (53 * hash) + getEncryptionSpec().hashCode();
-    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1698,12 +1610,6 @@ public Builder clear() {
         updateTimeBuilder_ = null;
       }
       internalGetMutableLabels().clear();
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
       return this;
     }
 
@@ -1783,11 +1689,6 @@ public com.google.cloud.aiplatform.v1beta1.TrainingPipeline buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
-      if (encryptionSpecBuilder_ == null) {
-        result.encryptionSpec_ = encryptionSpec_;
-      } else {
-        result.encryptionSpec_ = encryptionSpecBuilder_.build();
-      }
       onBuilt();
       return result;
     }
@@ -1881,9 +1782,6 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.TrainingPipeline ot
         mergeUpdateTime(other.getUpdateTime());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
-      if (other.hasEncryptionSpec()) {
-        mergeEncryptionSpec(other.getEncryptionSpec());
-      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2962,7 +2860,7 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2989,7 +2887,7 @@ public boolean hasModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3022,7 +2920,7 @@ public com.google.cloud.aiplatform.v1beta1.Model getModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3057,7 +2955,7 @@ public Builder setModelToUpload(com.google.cloud.aiplatform.v1beta1.Model value)
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3090,7 +2988,7 @@ public Builder setModelToUpload(
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3129,7 +3027,7 @@ public Builder mergeModelToUpload(com.google.cloud.aiplatform.v1beta1.Model valu
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3162,7 +3060,7 @@ public Builder clearModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3189,7 +3087,7 @@ public com.google.cloud.aiplatform.v1beta1.Model.Builder getModelToUploadBuilder
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3220,7 +3118,7 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelToUploadOrBuil
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -4539,220 +4437,6 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        encryptionSpecBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     *
-     * @return Whether the encryptionSpec field is set.
-     */
-    public boolean hasEncryptionSpec() {
-      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     *
-     * @return The encryptionSpec.
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      } else {
-        return encryptionSpecBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     */
-    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        encryptionSpec_ = value;
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     */
-    public Builder setEncryptionSpec(
-        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = builderForValue.build();
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     */
-    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
-      if (encryptionSpecBuilder_ == null) {
-        if (encryptionSpec_ != null) {
-          encryptionSpec_ =
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          encryptionSpec_ = value;
-        }
-        onChanged();
-      } else {
-        encryptionSpecBuilder_.mergeFrom(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     */
-    public Builder clearEncryptionSpec() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpec_ = null;
-        onChanged();
-      } else {
-        encryptionSpec_ = null;
-        encryptionSpecBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
-
-      onChanged();
-      return getEncryptionSpecFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
-        getEncryptionSpecOrBuilder() {
-      if (encryptionSpecBuilder_ != null) {
-        return encryptionSpecBuilder_.getMessageOrBuilder();
-      } else {
-        return encryptionSpec_ == null
-            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
-            : encryptionSpec_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-     * TrainingPipeline will be secured by this key.
-     * Note: Model trained by this TrainingPipeline is also secured by this key if
-     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-     * </pre>
-     *
-     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
-        getEncryptionSpecFieldBuilder() {
-      if (encryptionSpecBuilder_ == null) {
-        encryptionSpecBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
-                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
-                getEncryptionSpec(), getParentForChildren(), isClean());
-        encryptionSpec_ = null;
-      }
-      return encryptionSpecBuilder_;
-    }
-
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
index 925dbdf68..671252855 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
@@ -263,7 +263,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -288,7 +288,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -313,7 +313,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -634,48 +634,4 @@ public interface TrainingPipelineOrBuilder
    * <code>map&lt;string, string&gt; labels = 15;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
-
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-   * TrainingPipeline will be secured by this key.
-   * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-   *
-   * @return Whether the encryptionSpec field is set.
-   */
-  boolean hasEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-   * TrainingPipeline will be secured by this key.
-   * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-   *
-   * @return The encryptionSpec.
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
-  /**
-   *
-   *
-   * <pre>
-   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
-   * TrainingPipeline will be secured by this key.
-   * Note: Model trained by this TrainingPipeline is also secured by this key if
-   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-   * </pre>
-   *
-   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
-   */
-  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
index bd427e389..d5a1dc5a8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
@@ -67,71 +67,68 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n7google/cloud/aiplatform/v1beta1/traini"
           + "ng_pipeline.proto\022\037google.cloud.aiplatfo"
           + "rm.v1beta1\032\037google/api/field_behavior.pr"
-          + "oto\032\031google/api/resource.proto\0325google/c"
-          + "loud/aiplatform/v1beta1/encryption_spec."
-          + "proto\032(google/cloud/aiplatform/v1beta1/i"
-          + "o.proto\0327google/cloud/aiplatform/v1beta1"
-          + "/machine_resources.proto\032Dgoogle/cloud/a"
-          + "iplatform/v1beta1/manual_batch_tuning_pa"
-          + "rameters.proto\032+google/cloud/aiplatform/"
-          + "v1beta1/model.proto\0324google/cloud/aiplat"
-          + "form/v1beta1/pipeline_state.proto\032\034googl"
-          + "e/protobuf/struct.proto\032\037google/protobuf"
-          + "/timestamp.proto\032\027google/rpc/status.prot"
-          + "o\032\034google/api/annotations.proto\"\365\007\n\020Trai"
-          + "ningPipeline\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014displ"
-          + "ay_name\030\002 \001(\tB\003\340A\002\022K\n\021input_data_config\030"
-          + "\003 \001(\01320.google.cloud.aiplatform.v1beta1."
-          + "InputDataConfig\022%\n\030training_task_definit"
-          + "ion\030\004 \001(\tB\003\340A\002\0229\n\024training_task_inputs\030\005"
-          + " \001(\0132\026.google.protobuf.ValueB\003\340A\002\022;\n\026tra"
-          + "ining_task_metadata\030\006 \001(\0132\026.google.proto"
-          + "buf.ValueB\003\340A\003\022?\n\017model_to_upload\030\007 \001(\0132"
-          + "&.google.cloud.aiplatform.v1beta1.Model\022"
-          + "B\n\005state\030\t \001(\0162..google.cloud.aiplatform"
-          + ".v1beta1.PipelineStateB\003\340A\003\022&\n\005error\030\n \001"
-          + "(\0132\022.google.rpc.StatusB\003\340A\003\0224\n\013create_ti"
-          + "me\030\013 \001(\0132\032.google.protobuf.TimestampB\003\340A"
-          + "\003\0223\n\nstart_time\030\014 \001(\0132\032.google.protobuf."
-          + "TimestampB\003\340A\003\0221\n\010end_time\030\r \001(\0132\032.googl"
-          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
-          + "\030\016 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
-          + "M\n\006labels\030\017 \003(\0132=.google.cloud.aiplatfor"
-          + "m.v1beta1.TrainingPipeline.LabelsEntry\022H"
-          + "\n\017encryption_spec\030\022 \001(\0132/.google.cloud.a"
-          + "iplatform.v1beta1.EncryptionSpec\032-\n\013Labe"
-          + "lsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:"
-          + "~\352A{\n*aiplatform.googleapis.com/Training"
-          + "Pipeline\022Mprojects/{project}/locations/{"
-          + "location}/trainingPipelines/{training_pi"
-          + "peline}\"\311\004\n\017InputDataConfig\022H\n\016fraction_"
-          + "split\030\002 \001(\0132..google.cloud.aiplatform.v1"
-          + "beta1.FractionSplitH\000\022D\n\014filter_split\030\003 "
-          + "\001(\0132,.google.cloud.aiplatform.v1beta1.Fi"
-          + "lterSplitH\000\022L\n\020predefined_split\030\004 \001(\01320."
-          + "google.cloud.aiplatform.v1beta1.Predefin"
-          + "edSplitH\000\022J\n\017timestamp_split\030\005 \001(\0132/.goo"
-          + "gle.cloud.aiplatform.v1beta1.TimestampSp"
-          + "litH\000\022J\n\017gcs_destination\030\010 \001(\0132/.google."
-          + "cloud.aiplatform.v1beta1.GcsDestinationH"
-          + "\001\022T\n\024bigquery_destination\030\n \001(\01324.google"
-          + ".cloud.aiplatform.v1beta1.BigQueryDestin"
-          + "ationH\001\022\027\n\ndataset_id\030\001 \001(\tB\003\340A\002\022\032\n\022anno"
-          + "tations_filter\030\006 \001(\t\022\035\n\025annotation_schem"
-          + "a_uri\030\t \001(\tB\007\n\005splitB\r\n\013destination\"^\n\rF"
-          + "ractionSplit\022\031\n\021training_fraction\030\001 \001(\001\022"
-          + "\033\n\023validation_fraction\030\002 \001(\001\022\025\n\rtest_fra"
-          + "ction\030\003 \001(\001\"e\n\013FilterSplit\022\034\n\017training_f"
-          + "ilter\030\001 \001(\tB\003\340A\002\022\036\n\021validation_filter\030\002 "
-          + "\001(\tB\003\340A\002\022\030\n\013test_filter\030\003 \001(\tB\003\340A\002\"#\n\017Pr"
-          + "edefinedSplit\022\020\n\003key\030\001 \001(\tB\003\340A\002\"q\n\016Times"
-          + "tampSplit\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023"
-          + "validation_fraction\030\002 \001(\001\022\025\n\rtest_fracti"
-          + "on\030\003 \001(\001\022\020\n\003key\030\004 \001(\tB\003\340A\002B\211\001\n#com.googl"
-          + "e.cloud.aiplatform.v1beta1B\025TrainingPipe"
-          + "lineProtoP\001ZIgoogle.golang.org/genproto/"
-          + "googleapis/cloud/aiplatform/v1beta1;aipl"
-          + "atformb\006proto3"
+          + "oto\032\031google/api/resource.proto\032(google/c"
+          + "loud/aiplatform/v1beta1/io.proto\0327google"
+          + "/cloud/aiplatform/v1beta1/machine_resour"
+          + "ces.proto\032Dgoogle/cloud/aiplatform/v1bet"
+          + "a1/manual_batch_tuning_parameters.proto\032"
+          + "+google/cloud/aiplatform/v1beta1/model.p"
+          + "roto\0324google/cloud/aiplatform/v1beta1/pi"
+          + "peline_state.proto\032\034google/protobuf/stru"
+          + "ct.proto\032\037google/protobuf/timestamp.prot"
+          + "o\032\027google/rpc/status.proto\032\034google/api/a"
+          + "nnotations.proto\"\253\007\n\020TrainingPipeline\022\021\n"
+          + "\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003"
+          + "\340A\002\022K\n\021input_data_config\030\003 \001(\01320.google."
+          + "cloud.aiplatform.v1beta1.InputDataConfig"
+          + "\022%\n\030training_task_definition\030\004 \001(\tB\003\340A\002\022"
+          + "9\n\024training_task_inputs\030\005 \001(\0132\026.google.p"
+          + "rotobuf.ValueB\003\340A\002\022;\n\026training_task_meta"
+          + "data\030\006 \001(\0132\026.google.protobuf.ValueB\003\340A\003\022"
+          + "?\n\017model_to_upload\030\007 \001(\0132&.google.cloud."
+          + "aiplatform.v1beta1.Model\022B\n\005state\030\t \001(\0162"
+          + "..google.cloud.aiplatform.v1beta1.Pipeli"
+          + "neStateB\003\340A\003\022&\n\005error\030\n \001(\0132\022.google.rpc"
+          + ".StatusB\003\340A\003\0224\n\013create_time\030\013 \001(\0132\032.goog"
+          + "le.protobuf.TimestampB\003\340A\003\0223\n\nstart_time"
+          + "\030\014 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
+          + "1\n\010end_time\030\r \001(\0132\032.google.protobuf.Time"
+          + "stampB\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google"
+          + ".protobuf.TimestampB\003\340A\003\022M\n\006labels\030\017 \003(\013"
+          + "2=.google.cloud.aiplatform.v1beta1.Train"
+          + "ingPipeline.LabelsEntry\032-\n\013LabelsEntry\022\013"
+          + "\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:~\352A{\n*aip"
+          + "latform.googleapis.com/TrainingPipeline\022"
+          + "Mprojects/{project}/locations/{location}"
+          + "/trainingPipelines/{training_pipeline}\"\311"
+          + "\004\n\017InputDataConfig\022H\n\016fraction_split\030\002 \001"
+          + "(\0132..google.cloud.aiplatform.v1beta1.Fra"
+          + "ctionSplitH\000\022D\n\014filter_split\030\003 \001(\0132,.goo"
+          + "gle.cloud.aiplatform.v1beta1.FilterSplit"
+          + "H\000\022L\n\020predefined_split\030\004 \001(\01320.google.cl"
+          + "oud.aiplatform.v1beta1.PredefinedSplitH\000"
+          + "\022J\n\017timestamp_split\030\005 \001(\0132/.google.cloud"
+          + ".aiplatform.v1beta1.TimestampSplitH\000\022J\n\017"
+          + "gcs_destination\030\010 \001(\0132/.google.cloud.aip"
+          + "latform.v1beta1.GcsDestinationH\001\022T\n\024bigq"
+          + "uery_destination\030\n \001(\01324.google.cloud.ai"
+          + "platform.v1beta1.BigQueryDestinationH\001\022\027"
+          + "\n\ndataset_id\030\001 \001(\tB\003\340A\002\022\032\n\022annotations_f"
+          + "ilter\030\006 \001(\t\022\035\n\025annotation_schema_uri\030\t \001"
+          + "(\tB\007\n\005splitB\r\n\013destination\"^\n\rFractionSp"
+          + "lit\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023valida"
+          + "tion_fraction\030\002 \001(\001\022\025\n\rtest_fraction\030\003 \001"
+          + "(\001\"e\n\013FilterSplit\022\034\n\017training_filter\030\001 \001"
+          + "(\tB\003\340A\002\022\036\n\021validation_filter\030\002 \001(\tB\003\340A\002\022"
+          + "\030\n\013test_filter\030\003 \001(\tB\003\340A\002\"#\n\017PredefinedS"
+          + "plit\022\020\n\003key\030\001 \001(\tB\003\340A\002\"q\n\016TimestampSplit"
+          + "\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023validatio"
+          + "n_fraction\030\002 \001(\001\022\025\n\rtest_fraction\030\003 \001(\001\022"
+          + "\020\n\003key\030\004 \001(\tB\003\340A\002B\211\001\n#com.google.cloud.a"
+          + "iplatform.v1beta1B\025TrainingPipelineProto"
+          + "P\001ZIgoogle.golang.org/genproto/googleapi"
+          + "s/cloud/aiplatform/v1beta1;aiplatformb\006p"
+          + "roto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -139,7 +136,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
-              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParametersProto.getDescriptor(),
@@ -170,7 +166,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "EndTime",
               "UpdateTime",
               "Labels",
-              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_TrainingPipeline_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_TrainingPipeline_descriptor
@@ -240,7 +235,6 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
-    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParametersProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java
deleted file mode 100644
index 9697fffbb..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java
+++ /dev/null
@@ -1,257 +0,0 @@
-/*
- * Copyright 2020 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package com.google.cloud.aiplatform.v1beta1;
-
-import com.google.api.pathtemplate.PathTemplate;
-import com.google.api.resourcenames.ResourceName;
-import com.google.common.base.Preconditions;
-import com.google.common.collect.ImmutableMap;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.Map;
-import java.util.Objects;
-import javax.annotation.Generated;
-
-// AUTO-GENERATED DOCUMENTATION AND CLASS.
-@Generated("by gapic-generator-java")
-public class TrialName implements ResourceName {
-  private static final PathTemplate PROJECT_LOCATION_STUDY_TRIAL =
-      PathTemplate.createWithoutUrlEncoding(
-          "projects/{project}/locations/{location}/studies/{study}/trials/{trial}");
-  private volatile Map<String, String> fieldValuesMap;
-  private final String project;
-  private final String location;
-  private final String study;
-  private final String trial;
-
-  @Deprecated
-  protected TrialName() {
-    project = null;
-    location = null;
-    study = null;
-    trial = null;
-  }
-
-  private TrialName(Builder builder) {
-    project = Preconditions.checkNotNull(builder.getProject());
-    location = Preconditions.checkNotNull(builder.getLocation());
-    study = Preconditions.checkNotNull(builder.getStudy());
-    trial = Preconditions.checkNotNull(builder.getTrial());
-  }
-
-  public String getProject() {
-    return project;
-  }
-
-  public String getLocation() {
-    return location;
-  }
-
-  public String getStudy() {
-    return study;
-  }
-
-  public String getTrial() {
-    return trial;
-  }
-
-  public static Builder newBuilder() {
-    return new Builder();
-  }
-
-  public Builder toBuilder() {
-    return new Builder(this);
-  }
-
-  public static TrialName of(String project, String location, String study, String trial) {
-    return newBuilder()
-        .setProject(project)
-        .setLocation(location)
-        .setStudy(study)
-        .setTrial(trial)
-        .build();
-  }
-
-  public static String format(String project, String location, String study, String trial) {
-    return newBuilder()
-        .setProject(project)
-        .setLocation(location)
-        .setStudy(study)
-        .setTrial(trial)
-        .build()
-        .toString();
-  }
-
-  public static TrialName parse(String formattedString) {
-    if (formattedString.isEmpty()) {
-      return null;
-    }
-    Map<String, String> matchMap =
-        PROJECT_LOCATION_STUDY_TRIAL.validatedMatch(
-            formattedString, "TrialName.parse: formattedString not in valid format");
-    return of(
-        matchMap.get("project"),
-        matchMap.get("location"),
-        matchMap.get("study"),
-        matchMap.get("trial"));
-  }
-
-  public static List<TrialName> parseList(List<String> formattedStrings) {
-    List<TrialName> list = new ArrayList<>(formattedStrings.size());
-    for (String formattedString : formattedStrings) {
-      list.add(parse(formattedString));
-    }
-    return list;
-  }
-
-  public static List<String> toStringList(List<TrialName> values) {
-    List<String> list = new ArrayList<>(values.size());
-    for (TrialName value : values) {
-      if (value == null) {
-        list.add("");
-      } else {
-        list.add(value.toString());
-      }
-    }
-    return list;
-  }
-
-  public static boolean isParsableFrom(String formattedString) {
-    return PROJECT_LOCATION_STUDY_TRIAL.matches(formattedString);
-  }
-
-  @Override
-  public Map<String, String> getFieldValuesMap() {
-    if (fieldValuesMap == null) {
-      synchronized (this) {
-        if (fieldValuesMap == null) {
-          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
-          if (project != null) {
-            fieldMapBuilder.put("project", project);
-          }
-          if (location != null) {
-            fieldMapBuilder.put("location", location);
-          }
-          if (study != null) {
-            fieldMapBuilder.put("study", study);
-          }
-          if (trial != null) {
-            fieldMapBuilder.put("trial", trial);
-          }
-          fieldValuesMap = fieldMapBuilder.build();
-        }
-      }
-    }
-    return fieldValuesMap;
-  }
-
-  public String getFieldValue(String fieldName) {
-    return getFieldValuesMap().get(fieldName);
-  }
-
-  @Override
-  public String toString() {
-    return PROJECT_LOCATION_STUDY_TRIAL.instantiate(
-        "project", project, "location", location, "study", study, "trial", trial);
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (o == this) {
-      return true;
-    }
-    if (o != null || getClass() == o.getClass()) {
-      TrialName that = ((TrialName) o);
-      return Objects.equals(this.project, that.project)
-          && Objects.equals(this.location, that.location)
-          && Objects.equals(this.study, that.study)
-          && Objects.equals(this.trial, that.trial);
-    }
-    return false;
-  }
-
-  @Override
-  public int hashCode() {
-    int h = 1;
-    h *= 1000003;
-    h ^= Objects.hashCode(project);
-    h *= 1000003;
-    h ^= Objects.hashCode(location);
-    h *= 1000003;
-    h ^= Objects.hashCode(study);
-    h *= 1000003;
-    h ^= Objects.hashCode(trial);
-    return h;
-  }
-
-  /** Builder for projects/{project}/locations/{location}/studies/{study}/trials/{trial}. */
-  public static class Builder {
-    private String project;
-    private String location;
-    private String study;
-    private String trial;
-
-    protected Builder() {}
-
-    public String getProject() {
-      return project;
-    }
-
-    public String getLocation() {
-      return location;
-    }
-
-    public String getStudy() {
-      return study;
-    }
-
-    public String getTrial() {
-      return trial;
-    }
-
-    public Builder setProject(String project) {
-      this.project = project;
-      return this;
-    }
-
-    public Builder setLocation(String location) {
-      this.location = location;
-      return this;
-    }
-
-    public Builder setStudy(String study) {
-      this.study = study;
-      return this;
-    }
-
-    public Builder setTrial(String trial) {
-      this.trial = trial;
-      return this;
-    }
-
-    private Builder(TrialName trialName) {
-      project = trialName.project;
-      location = trialName.location;
-      study = trialName.study;
-      trial = trialName.trial;
-    }
-
-    public TrialName build() {
-      return new TrialName(this);
-    }
-  }
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
index 823c09eb1..7327d82b5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
@@ -195,7 +195,8 @@ public com.google.cloud.aiplatform.v1beta1.DatasetOrBuilder getDatasetOrBuilder(
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -217,7 +218,8 @@ public boolean hasUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -239,7 +241,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -828,7 +831,8 @@ public com.google.cloud.aiplatform.v1beta1.DatasetOrBuilder getDatasetOrBuilder(
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -849,7 +853,8 @@ public boolean hasUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -876,7 +881,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -905,7 +911,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -931,7 +938,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -962,7 +970,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -989,7 +998,8 @@ public Builder clearUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -1010,7 +1020,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -1035,7 +1046,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
index 3a5dc293a..6e34c4c84 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
@@ -70,7 +70,8 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -89,7 +90,8 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -108,7 +110,8 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
index 3e01d02c6..d9f0a4fbb 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
@@ -194,8 +194,6 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointOrBuilde
    *
    * <pre>
    * Required. The update mask applies to the resource.
-   * See
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -212,8 +210,6 @@ public boolean hasUpdateMask() {
    *
    * <pre>
    * Required. The update mask applies to the resource.
-   * See
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -230,8 +226,6 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * <pre>
    * Required. The update mask applies to the resource.
-   * See
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -816,8 +810,6 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointOrBuilde
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -833,8 +825,6 @@ public boolean hasUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -856,8 +846,6 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -881,8 +869,6 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -903,8 +889,6 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -930,8 +914,6 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -953,8 +935,6 @@ public Builder clearUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -970,8 +950,6 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -991,8 +969,6 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
-     * See
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
index d381f83e8..615096d7a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
@@ -69,8 +69,6 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
-   * See
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -84,8 +82,6 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
-   * See
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -99,8 +95,6 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
-   * See
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
index 62902fada..bc165bd33 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
@@ -193,7 +193,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelOrBuilder() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -211,7 +213,9 @@ public boolean hasUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -229,7 +233,9 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -814,7 +820,9 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -831,7 +839,9 @@ public boolean hasUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -854,7 +864,9 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -879,7 +891,9 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -901,7 +915,9 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -928,7 +944,9 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -951,7 +969,9 @@ public Builder clearUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -968,7 +988,9 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -989,7 +1011,9 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+     * [FieldMask](https:
+     * //developers.google.com/protocol-buffers
+     * // /docs/reference/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
index c05760803..89739f46b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
@@ -70,7 +70,9 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -85,7 +87,9 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -100,7 +104,9 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+   * [FieldMask](https:
+   * //developers.google.com/protocol-buffers
+   * // /docs/reference/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
index 8833bd2b2..ff1a3d185 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
@@ -331,11 +331,11 @@ public com.google.cloud.aiplatform.v1beta1.PythonPackageSpec getPythonPackageSpe
    *
    *
    * <pre>
-   * Optional. Immutable. The specification of a single machine.
+   * Required. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return Whether the machineSpec field is set.
@@ -348,11 +348,11 @@ public boolean hasMachineSpec() {
    *
    *
    * <pre>
-   * Optional. Immutable. The specification of a single machine.
+   * Required. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return The machineSpec.
@@ -367,11 +367,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec getMachineSpec() {
    *
    *
    * <pre>
-   * Optional. Immutable. The specification of a single machine.
+   * Required. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    */
   @java.lang.Override
@@ -385,10 +385,10 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
    *
    *
    * <pre>
-   * Optional. The number of worker replicas to use for this worker pool.
+   * Required. The number of worker replicas to use for this worker pool.
    * </pre>
    *
-   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The replicaCount.
    */
@@ -1337,11 +1337,11 @@ public Builder clearPythonPackageSpec() {
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      *
      * @return Whether the machineSpec field is set.
@@ -1353,11 +1353,11 @@ public boolean hasMachineSpec() {
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      *
      * @return The machineSpec.
@@ -1375,11 +1375,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec getMachineSpec() {
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder setMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec value) {
@@ -1399,11 +1399,11 @@ public Builder setMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec va
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder setMachineSpec(
@@ -1421,11 +1421,11 @@ public Builder setMachineSpec(
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec value) {
@@ -1449,11 +1449,11 @@ public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder clearMachineSpec() {
@@ -1471,11 +1471,11 @@ public Builder clearMachineSpec() {
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public com.google.cloud.aiplatform.v1beta1.MachineSpec.Builder getMachineSpecBuilder() {
@@ -1487,11 +1487,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec.Builder getMachineSpecBui
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
@@ -1507,11 +1507,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * <pre>
-     * Optional. Immutable. The specification of a single machine.
+     * Required. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     private com.google.protobuf.SingleFieldBuilderV3<
@@ -1536,10 +1536,10 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * <pre>
-     * Optional. The number of worker replicas to use for this worker pool.
+     * Required. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @return The replicaCount.
      */
@@ -1551,10 +1551,10 @@ public long getReplicaCount() {
      *
      *
      * <pre>
-     * Optional. The number of worker replicas to use for this worker pool.
+     * Required. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @param value The replicaCount to set.
      * @return This builder for chaining.
@@ -1569,10 +1569,10 @@ public Builder setReplicaCount(long value) {
      *
      *
      * <pre>
-     * Optional. The number of worker replicas to use for this worker pool.
+     * Required. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @return This builder for chaining.
      */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
index 5ec0c9b05..0d65828a9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
@@ -97,11 +97,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Optional. Immutable. The specification of a single machine.
+   * Required. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return Whether the machineSpec field is set.
@@ -111,11 +111,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Optional. Immutable. The specification of a single machine.
+   * Required. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return The machineSpec.
@@ -125,11 +125,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Optional. Immutable. The specification of a single machine.
+   * Required. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    */
   com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOrBuilder();
@@ -138,10 +138,10 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Optional. The number of worker replicas to use for this worker pool.
+   * Required. The number of worker replicas to use for this worker pool.
    * </pre>
    *
-   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
+   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The replicaCount.
    */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
index c5904162b..c4d0f45dd 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
@@ -26,7 +26,7 @@
  * attributions to segmented regions, taking advantage of the model's fully
  * differentiable structure. Refer to this paper for more details:
  * https://arxiv.org/abs/1906.02825
- * Supported only by image Models.
+ * Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.XraiAttribution}
@@ -391,7 +391,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * attributions to segmented regions, taking advantage of the model's fully
    * differentiable structure. Refer to this paper for more details:
    * https://arxiv.org/abs/1906.02825
-   * Supported only by image Models.
+   * Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.XraiAttribution}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
index f763df636..0adbda7f2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
@@ -19,7 +19,6 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/completion_stats.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
@@ -51,7 +50,7 @@ message BatchPredictionJob {
   message InputConfig {
     // Required. The source of the input.
     oneof source {
-      // The Cloud Storage location for the input instances.
+      // The Google Cloud Storage location for the input instances.
       GcsSource gcs_source = 2;
 
       // The BigQuery location of the input table.
@@ -74,7 +73,7 @@ message BatchPredictionJob {
   message OutputConfig {
     // Required. The destination of the output.
     oneof destination {
-      // The Cloud Storage location of the directory where the output is
+      // The Google Cloud Storage location of the directory where the output is
       // to be written to. In the given directory a new directory is created.
       // Its name is `prediction-<model-display-name>-<job-create-time>`,
       // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -130,7 +129,7 @@ message BatchPredictionJob {
   message OutputInfo {
     // The output location into which prediction output is written.
     oneof output_location {
-      // Output only. The full path of the Cloud Storage directory created, into which
+      // Output only. The full path of the Google Cloud Storage directory created, into which
       // the prediction output is written.
       string gcs_output_directory = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -193,30 +192,29 @@ message BatchPredictionJob {
   // the tuning itself).
   ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Generate explanation with the batch prediction results.
+  // Generate explanation along with the batch prediction results.
   //
-  // When set to `true`, the batch prediction output changes based on the
-  // `predictions_format` field of the
-  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+  // When it's true, the batch prediction output will change based on the
+  // [output format][BatchPredictionJob.output_config.predictions_format]:
   //
-  //  * `bigquery`: output includes a column named `explanation`. The value
+  //  * `bigquery`: output will include a column named `explanation`. The value
   //    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-  //  * `jsonl`: The JSON objects on each line include an additional entry
+  //  * `jsonl`: The JSON objects on each line will include an additional entry
   //    keyed `explanation`. The value of the entry is a JSON object that
   //    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
   //  * `csv`: Generating explanations for CSV format is not supported.
-  //
-  // If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
-  // populated.
   bool generate_explanation = 23;
 
-  // Explanation configuration for this BatchPredictionJob. Can be
-  // specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
+  // Explanation configuration for this BatchPredictionJob. Can only be
+  // specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
+  // specified it with generate_explanation set to false or unset.
   //
   // This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
-  // the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
+  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
+  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
+  // this Model is not allowed.
   ExplanationSpec explanation_spec = 25;
 
   // Output only. Information further describing the output of this job.
@@ -268,9 +266,4 @@ message BatchPredictionJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 19;
-
-  // Customer-managed encryption key options for a BatchPredictionJob. If this
-  // is set, then all resources created by the BatchPredictionJob will be
-  // encrypted with the provided encryption key.
-  EncryptionSpec encryption_spec = 24;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
index f50e56ed7..8fd3649a6 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
@@ -18,7 +18,6 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
@@ -83,11 +82,6 @@ message CustomJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 11;
-
-  // Customer-managed encryption key options for a CustomJob. If this is set,
-  // then all resources created by the CustomJob will be encrypted with the
-  // provided encryption key.
-  EncryptionSpec encryption_spec = 12;
 }
 
 // Represents the spec of a CustomJob.
@@ -100,40 +94,39 @@ message CustomJobSpec {
 
   // Specifies the service account for workload run-as account.
   // Users submitting jobs must have act-as permission on this run-as account.
-  // If unspecified, the AI Platform Custom Code Service Agent for the
-  // CustomJob's project is used.
   string service_account = 4;
 
   // The full name of the Compute Engine
   // [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-  // should be peered. For example, `projects/12345/global/networks/myVPC`.
-  // [Format](/compute/docs/reference/rest/v1/networks/insert)
-  // is of the form `projects/{project}/global/networks/{network}`.
-  // Where {project} is a project number, as in `12345`, and {network} is a
+  // should be peered. For example, projects/12345/global/networks/myVPC.
+  //
+  // [Format](https:
+  // //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
+  // is of the form projects/{project}/global/networks/{network}.
+  // Where {project} is a project number, as in '12345', and {network} is
   // network name.
   //
   // Private services access must already be configured for the network. If left
   // unspecified, the job is not peered with any network.
   string network = 5;
 
-  // The Cloud Storage location to store the output of this CustomJob or
+  // The Google Cloud Storage location to store the output of this CustomJob or
   // HyperparameterTuningJob. For HyperparameterTuningJob,
-  // the baseOutputDirectory of
+  // [base_output_directory][CustomJob.job_spec.base_output_directory] of
   // each child CustomJob backing a Trial is set to a subdirectory of name
-  // [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
-  // baseOutputDirectory.
+  // [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
   //
-  // The following AI Platform environment variables will be passed to
-  // containers or python modules when this field is set:
+  // [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
   //
-  //   For CustomJob:
+  // Following AI Platform environment variables will be passed to containers or
+  // python modules when this field is set:
   //
+  //   For CustomJob:
   //   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   //   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`
   //
   //   For CustomJob backing a Trial of HyperparameterTuningJob:
-  //
   //   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   //   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
@@ -151,14 +144,14 @@ message WorkerPoolSpec {
     PythonPackageSpec python_package_spec = 7;
   }
 
-  // Optional. Immutable. The specification of a single machine.
+  // Required. Immutable. The specification of a single machine.
   MachineSpec machine_spec = 1 [
-    (google.api.field_behavior) = OPTIONAL,
+    (google.api.field_behavior) = REQUIRED,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Optional. The number of worker replicas to use for this worker pool.
-  int64 replica_count = 2 [(google.api.field_behavior) = OPTIONAL];
+  // Required. The number of worker replicas to use for this worker pool.
+  int64 replica_count = 2 [(google.api.field_behavior) = REQUIRED];
 
   // Disk spec.
   DiskSpec disk_spec = 5;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
index 41a4cb5d7..6d2410d9c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
@@ -19,7 +19,6 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/accelerator_type.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/specialist_pool.proto";
 import "google/protobuf/struct.proto";
@@ -127,20 +126,13 @@ message DataLabelingJob {
   // The SpecialistPools' resource names associated with this job.
   repeated string specialist_pools = 16;
 
-  // Customer-managed encryption key spec for a DataLabelingJob. If set, this
-  // DataLabelingJob will be secured by this key.
-  //
-  // Note: Annotations created in the DataLabelingJob are associated with
-  // the EncryptionSpec of the Dataset they are exported to.
-  EncryptionSpec encryption_spec = 20;
-
-  // Parameters that configure active learning pipeline. Active learning will
+  // Paramaters that configure active learning pipeline. Active learning will
   // label the data incrementally via several iterations. For every iteration,
   // it will select a batch of data based on the sampling strategy.
   ActiveLearningConfig active_learning_config = 21;
 }
 
-// Parameters that configure active learning pipeline. Active learning will
+// Paramaters that configure active learning pipeline. Active learning will
 //  label the data incrementally by several iterations. For every iteration, it
 //  will select a batch of data based on the sampling strategy.
 message ActiveLearningConfig {
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
index 6a7e46890..26ba6c78b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
@@ -18,7 +18,6 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
@@ -79,10 +78,6 @@ message Dataset {
   // * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
   //   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
   map<string, string> labels = 7;
-
-  // Customer-managed encryption key spec for a Dataset. If set, this Dataset
-  // and all sub-resources of this Dataset will be secured by this key.
-  EncryptionSpec encryption_spec = 11;
 }
 
 // Describes the location from where we import data into a Dataset, together
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
index 17e9eb89d..069f251b7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
@@ -181,7 +181,9 @@ message UpdateDatasetRequest {
 
   // Required. The update mask applies to the resource.
   // For the `FieldMask` definition, see
-  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  //
+  // [FieldMask](https:
+  // //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
   // Updatable fields:
   //
   //   * `display_name`
@@ -201,19 +203,7 @@ message ListDatasetsRequest {
     }
   ];
 
-  // An expression for filtering the results of the request. For field names
-  // both snake_case and camelCase are supported.
-  //
-  //   * `display_name`: supports = and !=
-  //   * `metadata_schema_uri`: supports = and !=
-  //   * `labels` supports general map functions that is:
-  //     * `labels.key=value` - key:value equality
-  //     * `labels.key:* or labels:key - key existence
-  //     * A key including a space must be quoted. `labels."a key"`.
-  //
-  // Some examples:
-  //   * `displayName="myDisplayName"`
-  //   * `labels.myKey="myValue"`
+  // The standard list filter.
   string filter = 2;
 
   // The standard list page size.
@@ -229,7 +219,7 @@ message ListDatasetsRequest {
   // Use "desc" after a field name for descending.
   // Supported fields:
   //   * `display_name`
-  //   * `create_time`
+  //   * `data_item_count`   * `create_time`
   //   * `update_time`
   string order_by = 6;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
deleted file mode 100644
index b2d9f3f22..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
+++ /dev/null
@@ -1,36 +0,0 @@
-// Copyright 2020 Google LLC
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-syntax = "proto3";
-
-package google.cloud.aiplatform.v1beta1;
-
-import "google/api/field_behavior.proto";
-import "google/api/annotations.proto";
-
-option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
-option java_multiple_files = true;
-option java_outer_classname = "EncryptionSpecProto";
-option java_package = "com.google.cloud.aiplatform.v1beta1";
-
-// Represents a customer-managed encryption key spec that can be applied to
-// a top-level resource.
-message EncryptionSpec {
-  // Required. The Cloud KMS resource identifier of the customer managed encryption key
-  // used to protect a resource. Has the form:
-  // `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
-  // The key needs to be in the same region as where the compute resource is
-  // created.
-  string kms_key_name = 1 [(google.api.field_behavior) = REQUIRED];
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
index 19f82c5f5..6138ff501 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
@@ -18,7 +18,6 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/protobuf/timestamp.proto";
@@ -81,11 +80,6 @@ message Endpoint {
 
   // Output only. Timestamp when this Endpoint was last updated.
   google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Customer-managed encryption key spec for an Endpoint. If set, this
-  // Endpoint and all sub-resources of this Endpoint will be secured by
-  // this key.
-  EncryptionSpec encryption_spec = 10;
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -147,7 +141,7 @@ message DeployedModel {
   // If true, the container of the DeployedModel instances will send `stderr`
   // and `stdout` streams to Stackdriver Logging.
   //
-  // Only supported for custom-trained Models and AutoML Tabular Models.
+  // Only supported for custom-trained Models and AutoML Tables Models.
   bool enable_container_logging = 12;
 
   // These logs are like standard server access logs, containing
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
index 8d8284b6a..87c673cc8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
@@ -161,16 +161,18 @@ message ListEndpointsRequest {
   // both snake_case and camelCase are supported.
   //
   //   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-  //     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-  //   * `display_name` supports = and, !=
+  //     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+  //   * `display_name` supports =, != and regex()
+  //             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
   //   * `labels` supports general map functions that is:
-  //     * `labels.key=value` - key:value equality
-  //     * `labels.key:* or labels:key - key existence
-  //     * A key including a space must be quoted. `labels."a key"`.
+  //             `labels.key=value` - key:value equality
+  //             `labels.key:* or labels:key - key existence
+  //              A key including a space must be quoted. `labels."a key"`.
   //
   // Some examples:
   //   * `endpoint=1`
   //   * `displayName="myDisplayName"`
+  //   * `regex(display_name, "^A") -> The display name starts with an A.
   //   * `labels.myKey="myValue"`
   string filter = 2 [(google.api.field_behavior) = OPTIONAL];
 
@@ -203,8 +205,6 @@ message UpdateEndpointRequest {
   Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
-  // See
-  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
index 2f96fc1bc..c4e1874e5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
@@ -29,12 +29,12 @@ message EnvVar {
   // Required. Name of the environment variable. Must be a valid C identifier.
   string name = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Variables that reference a $(VAR_NAME) are expanded
+  // Variables that reference a $(VAR_NAME) are expanded
   // using the previous defined environment variables in the container and
   // any service environment variables. If a variable cannot be resolved,
   // the reference in the input string will be unchanged. The $(VAR_NAME)
   // syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
   // references will never be expanded, regardless of whether the variable
   // exists or not.
-  string value = 2 [(google.api.field_behavior) = REQUIRED];
+  string value = 2;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
index a75ee628f..9bc020786 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
@@ -48,7 +48,7 @@ message Explanation {
 
 // Aggregated explanation metrics for a Model over a set of instances.
 message ModelExplanation {
-  // Output only. Aggregated attributions explaining the Model's prediction outputs over the
+  // Output only. Aggregated attributions explaning the Model's prediction outputs over the
   // set of instances. The attributions are grouped by outputs.
   //
   // For Models that predict only one output, such as regression Models that
@@ -127,8 +127,8 @@ message Attribution {
   // of the output vector. Indices start from 0.
   repeated int32 output_index = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
-  // the predicted class name by a multi-classification Model.
+  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
+  // predicted class name by a multi-classification Model.
   //
   // This field is only populated iff the Model predicts display names as a
   // separate field along with the explained output. The predicted display name
@@ -139,20 +139,22 @@ message Attribution {
   // Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
   // explanation method. Lower value means more precise attributions.
   //
-  // * For Sampled Shapley
-  // [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
-  // increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
-  // the error.
-  // * For Integrated Gradients
-  // [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
-  // increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
+  // * For [Sampled Shapley
+  // attribution][ExplanationParameters.sampled_shapley_attribution], increasing
+  // [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
+  // * For [Integrated Gradients
+  // attribution][ExplanationParameters.integrated_gradients_attribution],
+  // increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
   // reduce the error.
-  // * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
-  // increasing
-  // [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+  // * For [XRAI
+  // attribution][ExplanationParameters.xrai_attribution], increasing
+  // [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
   //
-  // See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
-  // for more information.
+  // Refer to  AI Explanations Whitepaper for more details:
+  //
+  // https:
+  // //storage.googleapis.com/cloud-ai-whitep
+  // // apers/AI%20Explainability%20Whitepaper.pdf
   double approximation_error = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Name of the explain output. Specified as the key in
@@ -202,7 +204,7 @@ message ExplanationParameters {
   int32 top_k = 4;
 
   // If populated, only returns attributions that have
-  // [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
+  // [output_index][Attributions.output_index] contained in output_indices. It
   // must be an ndarray of integers, with the same shape of the output it's
   // explaining.
   //
@@ -251,7 +253,7 @@ message IntegratedGradientsAttribution {
 // differentiable structure. Refer to this paper for more details:
 // https://arxiv.org/abs/1906.02825
 //
-// Supported only by image Models.
+// Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
 message XraiAttribution {
   // Required. The number of steps for approximating the path integral.
   // A good value to start is 50 and gradually increase until the
@@ -283,9 +285,12 @@ message SmoothGradConfig {
     // This is a single float value and will be used to add noise to all the
     // features. Use this field when all features are normalized to have the
     // same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-    // features are normalized to have 0-mean and 1-variance. For more details
-    // about normalization:
-    // https://tinyurl.com/dgc-normalization.
+    // features are normalized to have 0-mean and 1-variance. Refer to
+    // this doc for more details about normalization:
+    //
+    // https:
+    // //developers.google.com/machine-learning
+    // // /data-prep/transform/normalization.
     //
     // For best results the recommended value is about 10% - 20% of the standard
     // deviation of the input feature. Refer to section 3.2 of the SmoothGrad
@@ -333,38 +338,3 @@ message FeatureNoiseSigma {
   // Noise sigma per feature. No noise is added to features that are not set.
   repeated NoiseSigmaForFeature noise_sigma = 1;
 }
-
-// The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online
-// explanation][PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
-message ExplanationSpecOverride {
-  // The parameters to be overridden. Note that the
-  // [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
-  // no parameter is overridden.
-  ExplanationParameters parameters = 1;
-
-  // The metadata to be overridden. If not specified, no metadata is overridden.
-  ExplanationMetadataOverride metadata = 2;
-}
-
-// The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
-// [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
-message ExplanationMetadataOverride {
-  // The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be
-  // overridden.
-  message InputMetadataOverride {
-    // Baseline inputs for this feature.
-    //
-    // This overrides the `input_baseline` field of the
-    // [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
-    // object of the corresponding feature's input metadata. If it's not
-    // specified, the original baselines are not overridden.
-    repeated google.protobuf.Value input_baselines = 1;
-  }
-
-  // Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
-  // The key is the name of the feature to be overridden. The keys specified
-  // here must exist in the input metadata to be overridden. If a feature is
-  // not specified here, the corresponding feature's input metadata is not
-  // overridden.
-  map<string, InputMetadataOverride> inputs = 1 [(google.api.field_behavior) = REQUIRED];
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
index 985e4478c..eae647df6 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
@@ -367,8 +367,8 @@ message ExplanationMetadata {
   // of the empty feature is chosen by AI Platform.
   //
   // For AI Platform provided Tensorflow images, the key can be any friendly
-  // name of the feature. Once specified,
-  // [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
+  // name of the feature . Once specified, [
+  // featureAttributions][Attribution.feature_attributions] will be keyed by
   // this key (if not grouped with another feature).
   //
   // For custom images, the key must match with the key in
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
index fc6181e95..c8d8e5d3c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
@@ -19,7 +19,6 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/custom_job.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/study.proto";
 import "google/protobuf/timestamp.proto";
@@ -100,9 +99,4 @@ message HyperparameterTuningJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 16;
-
-  // Customer-managed encryption key options for a HyperparameterTuningJob.
-  // If this is set, then all resources created by the HyperparameterTuningJob
-  // will be encrypted with the provided encryption key.
-  EncryptionSpec encryption_spec = 17;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
index 83e0f5dfe..16f883db0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
@@ -51,16 +51,10 @@ message BigQuerySource {
 
 // The BigQuery location for the output content.
 message BigQueryDestination {
-  // Required. BigQuery URI to a project or table, up to 2000 characters long.
-  //
-  // When only project is specified, Dataset and Table is created.
-  // When full table reference is specified, Dataset must exist and table must
-  // not exist.
-  //
+  // Required. BigQuery URI to a project, up to 2000 characters long.
   // Accepted forms:
   //
-  // *  BigQuery path. For example:
-  // `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
+  // *  BigQuery path. For example: `bq://projectId`.
   string output_uri = 1 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
index 01bf83e07..b75456f57 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
@@ -24,11 +24,9 @@ import "google/cloud/aiplatform/v1beta1/batch_prediction_job.proto";
 import "google/cloud/aiplatform/v1beta1/custom_job.proto";
 import "google/cloud/aiplatform/v1beta1/data_labeling_job.proto";
 import "google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto";
-import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/empty.proto";
 import "google/protobuf/field_mask.proto";
-import "google/protobuf/timestamp.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
index 3cb131c24..e0acfd6e8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
@@ -27,13 +27,41 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 
 // Specification of a single machine.
 message MachineSpec {
-  // Immutable. The type of the machine. For the machine types supported for prediction,
-  // see https://tinyurl.com/aip-docs/predictions/machine-types.
-  // For machine types supported for creating a custom training job, see
-  // https://tinyurl.com/aip-docs/training/configure-compute.
+  // Immutable. The type of the machine.
+  // Following machine types are supported:
   //
-  // For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
-  // value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+  // * `n1-standard-2`
+  //
+  // * `n1-standard-4`
+  //
+  // * `n1-standard-8`
+  //
+  // * `n1-standard-16`
+  //
+  // * `n1-standard-32`
+  //
+  // * `n1-highmem-2`
+  //
+  // * `n1-highmem-4`
+  //
+  // * `n1-highmem-8`
+  //
+  // * `n1-highmem-16`
+  //
+  // * `n1-highmem-32`
+  //
+  // * `n1-highcpu-2`
+  //
+  // * `n1-highcpu-4`
+  //
+  // * `n1-highcpu-8`
+  //
+  // * `n1-highcpu-16`
+  //
+  // * `n1-highcpu-32`
+  //
+  // When used for [DeployedMode][] this field is optional and the default value
+  // is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
   // [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
   string machine_type = 1 [(google.api.field_behavior) = IMMUTABLE];
 
@@ -129,7 +157,7 @@ message ResourcesConsumed {
 
 // Represents the spec of disk options.
 message DiskSpec {
-  // Type of the boot disk (default is "pd-ssd").
+  // Type of the boot disk (default is "pd-standard").
   // Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
   // "pd-standard" (Persistent Disk Hard Disk Drive).
   string boot_disk_type = 1;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
index 411105027..d0b0e9cf9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
@@ -54,7 +54,6 @@ message MigratableResource {
     // The ml.googleapis.com endpoint that this model Version currently lives
     // in.
     // Example values:
-    //
     // * ml.googleapis.com
     // * us-centrall-ml.googleapis.com
     // * europe-west4-ml.googleapis.com
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
index e96f96e2f..273eb9a26 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
@@ -25,7 +25,6 @@ import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/migratable_resource.proto";
 import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
-import "google/rpc/status.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
@@ -84,17 +83,6 @@ message SearchMigratableResourcesRequest {
 
   // The standard page token.
   string page_token = 3;
-
-  // Supported filters are:
-  // * Resource type: For a specific type of MigratableResource.
-  //   * `ml_engine_model_version:*`
-  //   * `automl_model:*`,
-  //   * `automl_dataset:*`
-  //   * `data_labeling_dataset:*`.
-  // * Migrated or not: Filter migrated resource or not by last_migrate_time.
-  //   * `last_migrate_time:*` will filter migrated resources.
-  //   * `NOT last_migrate_time:*` will filter not yet migrated resource.
-  string filter = 4;
 }
 
 // Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
@@ -277,35 +265,6 @@ message MigrateResourceResponse {
 
 // Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesOperationMetadata {
-  // Represents a partial result in batch migration opreation for one
-  // [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].
-  message PartialResult {
-    // If the resource's migration is ongoing, none of the result will be set.
-    // If the resource's migration is finished, either error or one of the
-    // migrated resource name will be filled.
-    oneof result {
-      // The error result of the migration request in case of failure.
-      google.rpc.Status error = 2;
-
-      // Migrated model resource name.
-      string model = 3 [(google.api.resource_reference) = {
-                          type: "aiplatform.googleapis.com/Model"
-                        }];
-
-      // Migrated dataset resource name.
-      string dataset = 4 [(google.api.resource_reference) = {
-                            type: "aiplatform.googleapis.com/Dataset"
-                          }];
-    }
-
-    // It's the same as the value in
-    // [MigrateResourceRequest.migrate_resource_requests][].
-    MigrateResourceRequest request = 1;
-  }
-
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
-
-  // Partial results that reflects the latest migration operation progress.
-  repeated PartialResult partial_results = 2;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
index e69027e90..6e557a620 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
@@ -20,7 +20,6 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/dataset.proto";
 import "google/cloud/aiplatform/v1beta1/deployed_model_ref.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/protobuf/struct.proto";
@@ -197,10 +196,6 @@ message Model {
   // Each instance is a single row in BigQuery. Uses
   // [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
   //
-  // * `file-list`
-  // Each line of the file is the location of an instance to process, uses
-  // `gcs_source` field of the
-  // [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
@@ -253,20 +248,18 @@ message Model {
   // Model could have been deployed to Endpoints in different Locations.
   repeated DeployedModelRef deployed_models = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // The default explanation specification for this Model.
+  // Output only. The default explanation specification for this Model.
   //
-  // The Model can be used for [requesting
-  // explanation][PredictionService.Explain] after being
-  // [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
-  // The Model can be used for [batch
-  // explanation][BatchPredictionJob.generate_explanation] iff it is populated.
+  // Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+  // after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
   //
   // All fields of the explanation_spec can be overridden by
   // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
-  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
-  ExplanationSpec explanation_spec = 23;
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
+  //
+  // This field is populated only for tabular AutoML Models.
+  // Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+  ExplanationSpec explanation_spec = 23 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -280,10 +273,6 @@ message Model {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 17;
-
-  // Customer-managed encryption key spec for a Model. If set, this
-  // Model and all sub-resources of this Model will be secured by this key.
-  EncryptionSpec encryption_spec = 24;
 }
 
 // Contains the schemata used in Model's predictions and explanations via
@@ -480,8 +469,9 @@ message ModelContainerSpec {
   //
   // For example, if you set this field to `/foo`, then when AI Platform
   // receives a prediction request, it forwards the request body in a POST
-  // request to the `/foo` path on the port of your container specified by the
-  // first value of this `ModelContainerSpec`'s
+  // request to the following URL on the container:
+  // <code>localhost:<var>PORT</var>/foo</code>
+  // <var>PORT</var> refers to the first value of this `ModelContainerSpec`'s
   // [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
@@ -509,8 +499,9 @@ message ModelContainerSpec {
   // checks](https://tinyurl.com/cust-cont-reqs#checks).
   //
   // For example, if you set this field to `/bar`, then AI Platform
-  // intermittently sends a GET request to the `/bar` path on the port of your
-  // container specified by the first value of this `ModelContainerSpec`'s
+  // intermittently sends a GET request to the following URL on the container:
+  // <code>localhost:<var>PORT</var>/bar</code>
+  // <var>PORT</var> refers to the first value of this `ModelContainerSpec`'s
   // [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
index d91d4b181..282e8da2b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
@@ -36,19 +36,6 @@ message ModelEvaluation {
     pattern: "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}"
   };
 
-  message ModelEvaluationExplanationSpec {
-    // Explanation type.
-    //
-    // For AutoML Image Classification models, possible values are:
-    //
-    //   * `image-integrated-gradients`
-    //   * `image-xrai`
-    string explanation_type = 1;
-
-    // Explanation spec details.
-    ExplanationSpec explanation_spec = 2;
-  }
-
   // Output only. The resource name of the ModelEvaluation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -76,8 +63,4 @@ message ModelEvaluation {
   // is evaluated with explanations, and only for AutoML tabular Models.
   //
   ModelExplanation model_explanation = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
-
-  // Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
-  // the predicted values on the evaluated data.
-  repeated ModelEvaluationExplanationSpec explanation_specs = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
index 219ed2f90..5d7357b60 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
@@ -191,21 +191,7 @@ message ListModelsRequest {
     }
   ];
 
-  // An expression for filtering the results of the request. For field names
-  // both snake_case and camelCase are supported.
-  //
-  //   * `model` supports = and !=. `model` represents the Model ID,
-  //     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
-  //   * `display_name` supports = and !=
-  //   * `labels` supports general map functions that is:
-  //     * `labels.key=value` - key:value equality
-  //     * `labels.key:* or labels:key - key existence
-  //     * A key including a space must be quoted. `labels."a key"`.
-  //
-  // Some examples:
-  //   * `model=1234`
-  //   * `displayName="myDisplayName"`
-  //   * `labels.myKey="myValue"`
+  // The standard list filter.
   string filter = 2;
 
   // The standard list page size.
@@ -238,7 +224,10 @@ message UpdateModelRequest {
 
   // Required. The update mask applies to the resource.
   // For the `FieldMask` definition, see
-  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
+  //
+  // [FieldMask](https:
+  // //developers.google.com/protocol-buffers
+  // // /docs/reference/google.protobuf#fieldmask).
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
@@ -264,20 +253,20 @@ message ExportModelRequest {
     // supported formats is used by default.
     string export_format_id = 1;
 
-    // The Cloud Storage location where the Model artifact is to be
+    // The Google Cloud Storage location where the Model artifact is to be
     // written to. Under the directory given as the destination a new one with
     // name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
     // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
     // will be created. Inside, the Model and any of its supporting files
     // will be written.
-    // This field should only be set when the `exportableContent` field of the
-    // [Model.supported_export_formats] object contains `ARTIFACT`.
+    // This field should only be set when
+    // [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
     GcsDestination artifact_destination = 3;
 
     // The Google Container Registry or Artifact Registry uri where the
     // Model container image will be copied to.
-    // This field should only be set when the `exportableContent` field of the
-    // [Model.supported_export_formats] object contains `IMAGE`.
+    // This field should only be set when
+    // [Models.supported_export_formats.exportable_contents] contains IMAGE.
     ContainerRegistryDestination image_destination = 4;
   }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
index d20ed3899..d28f1e6f4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
@@ -133,16 +133,6 @@ message ExplainRequest {
   // [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 4;
 
-  // If specified, overrides the
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
-  // Can be used for explaining prediction results with different
-  // configurations, such as:
-  //  - Explaining top-5 predictions results as opposed to top-1;
-  //  - Increasing path count or step count of the attribution methods to reduce
-  //    approximate errors;
-  //  - Using different baselines for explaining the prediction results.
-  ExplanationSpecOverride explanation_spec_override = 5;
-
   // If specified, this ExplainRequest will be served by the chosen
   // DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
   string deployed_model_id = 3;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
index 2d0a8f878..210c9eb7f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
@@ -21,7 +21,6 @@ import "google/api/resource.proto";
 import "google/protobuf/duration.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
-import "google/protobuf/wrappers.proto";
 import "google/api/annotations.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
@@ -33,11 +32,6 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 // that has been or will be evaluated, along with the objective metrics got by
 // running the Trial.
 message Trial {
-  option (google.api.resource) = {
-    type: "aiplatform.googleapis.com/Trial"
-    pattern: "projects/{project}/locations/{location}/studies/{study}/trials/{trial}"
-  };
-
   // A message representing a parameter to be tuned.
   message Parameter {
     // Output only. The ID of the parameter. The parameter should be defined in
@@ -271,48 +265,6 @@ message StudySpec {
     RANDOM_SEARCH = 3;
   }
 
-  // Describes the noise level of the repeated observations.
-  //
-  // "Noisy" means that the repeated observations with the same Trial parameters
-  // may lead to different metric evaluations.
-  enum ObservationNoise {
-    // The default noise level chosen by the AI Platform service.
-    OBSERVATION_NOISE_UNSPECIFIED = 0;
-
-    // AI Platform Vizier assumes that the objective function is (nearly)
-    // perfectly reproducible, and will never repeat the same Trial
-    // parameters.
-    LOW = 1;
-
-    // AI Platform Vizier will estimate the amount of noise in metric
-    // evaluations, it may repeat the same Trial parameters more than once.
-    HIGH = 2;
-  }
-
-  // This indicates which measurement to use if/when the service automatically
-  // selects the final measurement from previously reported intermediate
-  // measurements. Choose this based on two considerations:
-  //  A) Do you expect your measurements to monotonically improve?
-  //     If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
-  //     situation where your system can "over-train" and you expect the
-  //     performance to get better for a while but then start declining,
-  //     choose BEST_MEASUREMENT.
-  //  B) Are your measurements significantly noisy and/or irreproducible?
-  //     If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
-  //     may be better to choose LAST_MEASUREMENT.
-  //  If both or neither of (A) and (B) apply, it doesn't matter which
-  //  selection type is chosen.
-  enum MeasurementSelectionType {
-    // Will be treated as LAST_MEASUREMENT.
-    MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;
-
-    // Use the last measurement reported.
-    LAST_MEASUREMENT = 1;
-
-    // Use the best measurement reported.
-    BEST_MEASUREMENT = 2;
-  }
-
   // Required. Metric specs for the Study.
   repeated MetricSpec metrics = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -321,14 +273,6 @@ message StudySpec {
 
   // The search algorithm specified for the Study.
   Algorithm algorithm = 3;
-
-  // The observation noise level of the study.
-  // Currently only supported by the Vizier service. Not supported by
-  // HyperparamterTuningJob or TrainingPipeline.
-  ObservationNoise observation_noise = 6;
-
-  // Describe which measurement selection type will be used
-  MeasurementSelectionType measurement_selection_type = 7;
 }
 
 // A message representing a Measurement of a Trial. A Measurement contains
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
index 26568518e..26fbd287f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
@@ -18,7 +18,6 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto";
@@ -80,7 +79,7 @@ message TrainingPipeline {
   // pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
   google.protobuf.Value training_task_metadata = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
+  // Describes the Model that may be uploaded (via [ModelService.UploadMode][])
   // by this TrainingPipeline. The TrainingPipeline's
   // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
   // description should be populated, and if there are any special requirements
@@ -126,13 +125,6 @@ message TrainingPipeline {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 15;
-
-  // Customer-managed encryption key spec for a TrainingPipeline. If set, this
-  // TrainingPipeline will be secured by this key.
-  //
-  // Note: Model trained by this TrainingPipeline is also secured by this key if
-  // [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
-  EncryptionSpec encryption_spec = 18;
 }
 
 // Specifies AI Platform owned input data to be used for training, and
@@ -167,7 +159,7 @@ message InputDataConfig {
   //   * For non-tabular data: "jsonl".
   //   * For tabular data: "csv" and "bigquery".
   //
-  // The following AI Platform environment variables are passed to containers
+  // Following AI Platform environment variables will be passed to containers
   // or python modules of the training task when this field is set:
   //
   // * AIP_DATA_FORMAT : Exported data format.
@@ -175,50 +167,43 @@ message InputDataConfig {
   // * AIP_VALIDATION_DATA_URI : Sharded exported validation data uris.
   // * AIP_TEST_DATA_URI : Sharded exported test data uris.
   oneof destination {
-    // The Cloud Storage location where the training data is to be
-    // written to. In the given directory a new directory is created with
+    // The Google Cloud Storage location where the training data is to be
+    // written to. In the given directory a new directory will be created with
     // name:
     // `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
     // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-    // All training input data is written into that directory.
+    // All training input data will be written into that directory.
     //
-    // The AI Platform environment variables representing Cloud Storage
-    // data URIs are represented in the Cloud Storage wildcard
+    // The AI Platform environment variables representing Google Cloud Storage
+    // data URIs will always be represented in the Google Cloud Storage wildcard
     // format to support sharded data. e.g.: "gs://.../training-*.jsonl"
     //
     // * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-    // * AIP_TRAINING_DATA_URI =
+    // * AIP_TRAINING_DATA_URI  =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
-    //
     // * AIP_VALIDATION_DATA_URI =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
-    //
     // * AIP_TEST_DATA_URI =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
     GcsDestination gcs_destination = 8;
 
-    // Only applicable to custom training with tabular Dataset with BigQuery
-    // source.
-    //
     // The BigQuery project location where the training data is to be written
     // to. In the given project a new dataset is created with name
     // `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
     // where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-    // input data is written into that dataset. In the dataset three
-    // tables are created, `training`, `validation` and `test`.
+    // input data will be written into that dataset. In the dataset three
+    // tables will be created, `training`, `validation` and `test`.
     //
     // * AIP_DATA_FORMAT = "bigquery".
     // * AIP_TRAINING_DATA_URI  =
     //
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
-    //
     // * AIP_VALIDATION_DATA_URI =
     //
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
-    //
     // * AIP_TEST_DATA_URI =
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
     BigQueryDestination bigquery_destination = 10;
@@ -233,7 +218,7 @@ message InputDataConfig {
   // and choose from.
   string dataset_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Applicable only to Datasets that have DataItems and Annotations.
+  // Only applicable to Datasets that have DataItems and Annotations.
   //
   // A filter on Annotations of the Dataset. Only Annotations that both
   // match this filter and belong to DataItems not ignored by the split method
@@ -245,14 +230,16 @@ message InputDataConfig {
   // a single DataItem.
   string annotations_filter = 6;
 
-  // Applicable only to custom training with Datasets that have DataItems and
-  // Annotations.
+  // Only applicable to custom training.
+  //
+  // Google Cloud Storage URI points to a YAML file describing annotation
+  // schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
   //
-  // Cloud Storage URI that points to a YAML file describing the annotation
-  // schema. The schema is defined as an OpenAPI 3.0.2
-  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
+  // https:
+  // //github.com/OAI/OpenAPI-Specification/b
+  // // lob/master/versions/3.0.2.md#schema-object)
   // The schema files that can be used here are found in
-  // gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
+  // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
   // chosen schema must be consistent with
   // [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
   // [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -272,7 +259,7 @@ message InputDataConfig {
 // `test_fraction` may optionally be provided, they must sum to up to 1. If the
 // provided ones sum to less than 1, the remainder is assigned to sets as
 // decided by AI Platform. If none of the fractions are set, by default roughly
-// 80% of data is used for training, 10% for validation, and 10% for test.
+// 80% of data will be used for training, 10% for validation, and 10% for test.
 message FractionSplit {
   // The fraction of the input data that is to be used to train the Model.
   double training_fraction = 1;
@@ -289,15 +276,12 @@ message FractionSplit {
 // supported for Datasets containing DataItems.
 // If any of the filters in this message are to match nothing, then they can be
 // set as '-' (the minus sign).
-//
-// Supported only for unstructured Datasets.
-//
 message FilterSplit {
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to train the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
+  // then it will be assigned to the first set that applies to it in the
   // training, validation, test order.
   string training_filter = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -305,7 +289,7 @@ message FilterSplit {
   // this filter are used to validate the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
+  // then it will be assigned to the first set that applies to it in the
   // training, validation, test order.
   string validation_filter = 2 [(google.api.field_behavior) = REQUIRED];
 
@@ -313,7 +297,7 @@ message FilterSplit {
   // this filter are used to test the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it is assigned to the first set that applies to it in the
+  // then it will be assigned to the first set that applies to it in the
   // training, validation, test order.
   string test_filter = 3 [(google.api.field_behavior) = REQUIRED];
 }
diff --git a/synth.metadata b/synth.metadata
index 1356a4585..196e24392 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "e9cc050d9e492060f6bd7cb065fcc0c11e04a9bb"
+        "sha": "c49ac8463d342c141cf59af5c19f1ef7f28fd8a5"
       }
     },
     {
@@ -19,7 +19,7 @@
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "b416a7befcdbc42de41cf387dcf428f894fb812b"
+        "sha": "6946fd71ae9215b0e7ae188f5057df765ee6d7d2"
       }
     }
   ],
@@ -316,9 +316,6 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelRefOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointName.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java",
@@ -334,8 +331,6 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Explanation.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java",
@@ -343,8 +338,6 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpec.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOrBuilder.java",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataConfig.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataConfigOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataOperationMetadata.java",
@@ -549,7 +542,6 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Trial.java",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadata.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadataOrBuilder.java",
@@ -738,7 +730,6 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployed_model_ref.proto",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto",

From f1523a2be87331d2298d740da041eb5275fb4813 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Wed, 24 Feb 2021 14:03:25 -0800
Subject: [PATCH 29/36] feat: add encryption_spec to aiplatform v1beta1  (#167)

* changes without context

        autosynth cannot find the source of changes triggered by earlier changes in this
        repository, or by version upgrades to tools such as linters.

* chore: update gapic-generator-java to 0.0.18

Committer: @miraleung
PiperOrigin-RevId: 350949863

Source-Author: Google APIs <noreply@google.com>
Source-Date: Sat Jan 9 14:01:49 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: 91e206bcfeaf8948ea03fe3cb1b7616108496cd3
Source-Link: https://github.com/googleapis/googleapis/commit/91e206bcfeaf8948ea03fe3cb1b7616108496cd3

* feat: add encryption_spec to aiplatform v1beta1

PiperOrigin-RevId: 354148500

Source-Author: Google APIs <noreply@google.com>
Source-Date: Wed Jan 27 12:35:58 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: d99d5d592f3d1d5526511c90120b1e9ab3ce6e17
Source-Link: https://github.com/googleapis/googleapis/commit/d99d5d592f3d1d5526511c90120b1e9ab3ce6e17

* feat: generate sample code in the Java microgenerator

Committer: @miraleung
PiperOrigin-RevId: 356341083

Source-Author: Google APIs <noreply@google.com>
Source-Date: Mon Feb 8 13:33:28 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: 8d8c008e56f1af31d57f75561e0f1848ffb29eeb
Source-Link: https://github.com/googleapis/googleapis/commit/8d8c008e56f1af31d57f75561e0f1848ffb29eeb

* chore: updates prediction and training proto files to v1beta1 AI Platform client libraries. feat!: removes unused protos from schema/ folders: schema/io_format.proto, schema/saved_query_metadata.proto feat!: ImageSegmentationPredictionResult.category_mask field changed to string data type feat: AutoMlImageSegmentationInputs.ModelType adds MOBILE_TF_LOW_LATENCY constant feat: AutoMlVideoClassificationInputs.ModelType adds MOBILE_JETSON_VERSATILE_1 constant

Committer: @telpirion
PiperOrigin-RevId: 357223795

Source-Author: Google APIs <noreply@google.com>
Source-Date: Fri Feb 12 10:50:54 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: f9cd594c912a2ff456cc2b33f54dcc238133bb0c
Source-Link: https://github.com/googleapis/googleapis/commit/f9cd594c912a2ff456cc2b33f54dcc238133bb0c

* chore: update gapic-generator-java to 0.0.20

Committer: @miraleung
PiperOrigin-RevId: 357800868

Source-Author: Google APIs <noreply@google.com>
Source-Date: Tue Feb 16 14:06:04 2021 -0800
Source-Repo: googleapis/googleapis
Source-Sha: e8bc4471a88ac5f60defe3ed436f517174e59ba0
Source-Link: https://github.com/googleapis/googleapis/commit/e8bc4471a88ac5f60defe3ed436f517174e59ba0

* chore: add clirr-ignored-differences to allow breaking changes

Co-authored-by: Neenu1995 <neenushaji@google.com>
Co-authored-by: Neenu Shaji <Neenu1995@users.noreply.github.com>
---
 .../v1beta1/DatasetServiceClient.java         |  614 ++++++++
 .../v1beta1/EndpointServiceClient.java        |  415 +++++
 .../aiplatform/v1beta1/JobServiceClient.java  | 1151 ++++++++++++++
 .../v1beta1/MigrationServiceClient.java       |  153 ++
 .../v1beta1/ModelServiceClient.java           |  604 ++++++++
 .../v1beta1/PipelineServiceClient.java        |  300 ++++
 .../v1beta1/PredictionServiceClient.java      |  119 ++
 .../v1beta1/SpecialistPoolServiceClient.java  |  338 ++++
 .../aiplatform/v1beta1/package-info.java      |   66 +
 .../v1beta1/stub/GrpcDatasetServiceStub.java  |   17 +
 .../v1beta1/stub/GrpcEndpointServiceStub.java |   12 +
 .../v1beta1/stub/GrpcJobServiceStub.java      |   28 +
 .../stub/GrpcMigrationServiceStub.java        |    4 +
 .../v1beta1/stub/GrpcModelServiceStub.java    |   16 +
 .../v1beta1/stub/GrpcPipelineServiceStub.java |    7 +
 .../stub/GrpcPredictionServiceStub.java       |    2 +
 .../stub/GrpcSpecialistPoolServiceStub.java   |    9 +
 .../v1beta1/JobServiceClientTest.java         |   16 +
 .../v1beta1/MockDatasetServiceImpl.java       |   80 +-
 .../v1beta1/MockEndpointServiceImpl.java      |   56 +-
 .../v1beta1/MockJobServiceImpl.java           |  160 +-
 .../v1beta1/MockMigrationServiceImpl.java     |   16 +-
 .../v1beta1/MockModelServiceImpl.java         |   80 +-
 .../v1beta1/MockPipelineServiceImpl.java      |   40 +-
 .../v1beta1/MockPredictionServiceImpl.java    |   16 +-
 .../MockSpecialistPoolServiceImpl.java        |   40 +-
 .../v1beta1/PipelineServiceClientTest.java    |    4 +
 .../clirr-ignored-differences.xml             |   96 +-
 ...eoActionRecognitionPredictionInstance.java |   28 +-
 ...ecognitionPredictionInstanceOrBuilder.java |    8 +-
 ...VideoClassificationPredictionInstance.java |   28 +-
 ...sificationPredictionInstanceOrBuilder.java |    8 +-
 ...VideoObjectTrackingPredictionInstance.java |   28 +-
 ...ctTrackingPredictionInstanceOrBuilder.java |    8 +-
 .../ImageSegmentationPredictionResult.java    |  281 +++-
 ...SegmentationPredictionResultOrBuilder.java |   41 +-
 ...mageSegmentationPredictionResultProto.java |    4 +-
 .../TextSentimentPredictionResult.java        | 1370 +----------------
 ...extSentimentPredictionResultOrBuilder.java |   88 +-
 .../TextSentimentPredictionResultProto.java   |   42 +-
 .../definition/AutoMLForecastingProto.java    |  170 +-
 .../AutoMLImageSegmentationProto.java         |   34 +-
 .../AutoMLVideoClassificationProto.java       |   17 +-
 .../definition/AutoMlForecasting.java         |    3 +-
 .../definition/AutoMlForecastingInputs.java   |  505 +++++-
 .../AutoMlForecastingInputsOrBuilder.java     |   87 +-
 .../definition/AutoMlForecastingMetadata.java |    3 +-
 .../AutoMlForecastingMetadataOrBuilder.java   |    3 +-
 .../AutoMlForecastingOrBuilder.java           |    3 +-
 .../AutoMlImageSegmentationInputs.java        |   30 +
 .../AutoMlVideoClassificationInputs.java      |   26 +
 .../ExportEvaluatedDataItemsConfig.java       |   62 +-
 ...portEvaluatedDataItemsConfigOrBuilder.java |   17 +-
 .../v1beta1/schema/dataset_metadata.proto     |   13 +-
 .../aiplatform/v1beta1/schema/io_format.proto |  480 ------
 .../instance/video_action_recognition.proto   |    4 +-
 .../instance/video_classification.proto       |    4 +-
 .../instance/video_object_tracking.proto      |    4 +-
 .../prediction/image_segmentation.proto       |    4 +-
 .../predict/prediction/text_sentiment.proto   |   25 +-
 .../v1beta1/schema/saved_query_metadata.proto |   41 -
 .../automl_image_segmentation.proto           |    7 +
 ...o => automl_time_series_forecasting.proto} |   16 +
 .../automl_video_classification.proto         |    5 +
 .../export_evaluated_data_items_config.proto  |   12 +-
 synth.metadata                                |    8 +-
 66 files changed, 5695 insertions(+), 2281 deletions(-)
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/io_format.proto
 delete mode 100644 proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/saved_query_metadata.proto
 rename proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/{automl_forecasting.proto => automl_time_series_forecasting.proto} (93%)

diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
index 496de9e90..5b8927965 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
@@ -45,6 +45,13 @@
  * This class provides the ability to make remote calls to the backing service through method calls
  * that map to API methods. Sample code to get started:
  *
+ * <pre>{@code
+ * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+ *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+ *   Dataset response = datasetServiceClient.getDataset(name);
+ * }
+ * }</pre>
+ *
  * <p>Note: close() needs to be called on the DatasetServiceClient object to clean up resources such
  * as threads. In the example above, try-with-resources is used, which automatically calls close().
  *
@@ -160,6 +167,16 @@ public final OperationsClient getOperationsClient() {
   /**
    * Creates a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   Dataset response = datasetServiceClient.createDatasetAsync(parent, dataset).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the Dataset in. Format:
    *     `projects/{project}/locations/{location}`
    * @param dataset Required. The Dataset to create.
@@ -179,6 +196,16 @@ public final OperationFuture<Dataset, CreateDatasetOperationMetadata> createData
   /**
    * Creates a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   Dataset response = datasetServiceClient.createDatasetAsync(parent, dataset).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the Dataset in. Format:
    *     `projects/{project}/locations/{location}`
    * @param dataset Required. The Dataset to create.
@@ -195,6 +222,19 @@ public final OperationFuture<Dataset, CreateDatasetOperationMetadata> createData
   /**
    * Creates a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   CreateDatasetRequest request =
+   *       CreateDatasetRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setDataset(Dataset.newBuilder().build())
+   *           .build();
+   *   Dataset response = datasetServiceClient.createDatasetAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -208,6 +248,20 @@ public final OperationFuture<Dataset, CreateDatasetOperationMetadata> createData
    * Creates a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   CreateDatasetRequest request =
+   *       CreateDatasetRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setDataset(Dataset.newBuilder().build())
+   *           .build();
+   *   OperationFuture<Dataset, CreateDatasetOperationMetadata> future =
+   *       datasetServiceClient.createDatasetOperationCallable().futureCall(request);
+   *   // Do something.
+   *   Dataset response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
       createDatasetOperationCallable() {
@@ -219,6 +273,20 @@ public final OperationFuture<Dataset, CreateDatasetOperationMetadata> createData
    * Creates a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   CreateDatasetRequest request =
+   *       CreateDatasetRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setDataset(Dataset.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       datasetServiceClient.createDatasetCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CreateDatasetRequest, Operation> createDatasetCallable() {
     return stub.createDatasetCallable();
@@ -228,6 +296,15 @@ public final UnaryCallable<CreateDatasetRequest, Operation> createDatasetCallabl
   /**
    * Gets a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   Dataset response = datasetServiceClient.getDataset(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Dataset resource.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -241,6 +318,15 @@ public final Dataset getDataset(DatasetName name) {
   /**
    * Gets a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
+   *   Dataset response = datasetServiceClient.getDataset(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Dataset resource.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -253,6 +339,19 @@ public final Dataset getDataset(String name) {
   /**
    * Gets a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   GetDatasetRequest request =
+   *       GetDatasetRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   Dataset response = datasetServiceClient.getDataset(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -265,6 +364,19 @@ public final Dataset getDataset(GetDatasetRequest request) {
    * Gets a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   GetDatasetRequest request =
+   *       GetDatasetRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Dataset> future = datasetServiceClient.getDatasetCallable().futureCall(request);
+   *   // Do something.
+   *   Dataset response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
     return stub.getDatasetCallable();
@@ -274,6 +386,16 @@ public final UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
   /**
    * Updates a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   Dataset dataset = Dataset.newBuilder().build();
+   *   FieldMask updateMask = FieldMask.newBuilder().build();
+   *   Dataset response = datasetServiceClient.updateDataset(dataset, updateMask);
+   * }
+   * }</pre>
+   *
    * @param dataset Required. The Dataset which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
    *     definition, see
@@ -292,6 +414,19 @@ public final Dataset updateDataset(Dataset dataset, FieldMask updateMask) {
   /**
    * Updates a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   UpdateDatasetRequest request =
+   *       UpdateDatasetRequest.newBuilder()
+   *           .setDataset(Dataset.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   Dataset response = datasetServiceClient.updateDataset(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -304,6 +439,19 @@ public final Dataset updateDataset(UpdateDatasetRequest request) {
    * Updates a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   UpdateDatasetRequest request =
+   *       UpdateDatasetRequest.newBuilder()
+   *           .setDataset(Dataset.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Dataset> future = datasetServiceClient.updateDatasetCallable().futureCall(request);
+   *   // Do something.
+   *   Dataset response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<UpdateDatasetRequest, Dataset> updateDatasetCallable() {
     return stub.updateDatasetCallable();
@@ -313,6 +461,17 @@ public final UnaryCallable<UpdateDatasetRequest, Dataset> updateDatasetCallable(
   /**
    * Lists Datasets in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (Dataset element : datasetServiceClient.listDatasets(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The name of the Dataset's parent resource. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -329,6 +488,17 @@ public final ListDatasetsPagedResponse listDatasets(LocationName parent) {
   /**
    * Lists Datasets in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (Dataset element : datasetServiceClient.listDatasets(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The name of the Dataset's parent resource. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -342,6 +512,25 @@ public final ListDatasetsPagedResponse listDatasets(String parent) {
   /**
    * Lists Datasets in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ListDatasetsRequest request =
+   *       ListDatasetsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .setOrderBy("orderBy-1207110587")
+   *           .build();
+   *   for (Dataset element : datasetServiceClient.listDatasets(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -354,6 +543,26 @@ public final ListDatasetsPagedResponse listDatasets(ListDatasetsRequest request)
    * Lists Datasets in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ListDatasetsRequest request =
+   *       ListDatasetsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .setOrderBy("orderBy-1207110587")
+   *           .build();
+   *   ApiFuture<Dataset> future =
+   *       datasetServiceClient.listDatasetsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (Dataset element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListDatasetsRequest, ListDatasetsPagedResponse>
       listDatasetsPagedCallable() {
@@ -365,6 +574,23 @@ public final ListDatasetsPagedResponse listDatasets(ListDatasetsRequest request)
    * Lists Datasets in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   while (true) {
+   *     ListDatasetsResponse response = datasetServiceClient.listDatasetsCallable().call(request);
+   *     for (Dataset element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListDatasetsRequest, ListDatasetsResponse> listDatasetsCallable() {
     return stub.listDatasetsCallable();
@@ -374,6 +600,15 @@ public final UnaryCallable<ListDatasetsRequest, ListDatasetsResponse> listDatase
   /**
    * Deletes a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   datasetServiceClient.deleteDatasetAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The resource name of the Dataset to delete. Format:
    *     `projects/{project}/locations/{location}/datasets/{dataset}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -389,6 +624,15 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDatasetAsync(
   /**
    * Deletes a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
+   *   datasetServiceClient.deleteDatasetAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The resource name of the Dataset to delete. Format:
    *     `projects/{project}/locations/{location}/datasets/{dataset}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -402,6 +646,18 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDatasetAsync(
   /**
    * Deletes a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DeleteDatasetRequest request =
+   *       DeleteDatasetRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .build();
+   *   datasetServiceClient.deleteDatasetAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -415,6 +671,19 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDatasetAsync(
    * Deletes a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DeleteDatasetRequest request =
+   *       DeleteDatasetRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       datasetServiceClient.deleteDatasetOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
       deleteDatasetOperationCallable() {
@@ -426,6 +695,19 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDatasetAsync(
    * Deletes a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DeleteDatasetRequest request =
+   *       DeleteDatasetRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       datasetServiceClient.deleteDatasetCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteDatasetRequest, Operation> deleteDatasetCallable() {
     return stub.deleteDatasetCallable();
@@ -435,6 +717,16 @@ public final UnaryCallable<DeleteDatasetRequest, Operation> deleteDatasetCallabl
   /**
    * Imports data into a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   List<ImportDataConfig> importConfigs = new ArrayList<>();
+   *   ImportDataResponse response = datasetServiceClient.importDataAsync(name, importConfigs).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Dataset resource. Format:
    *     `projects/{project}/locations/{location}/datasets/{dataset}`
    * @param importConfigs Required. The desired input locations. The contents of all input locations
@@ -455,6 +747,16 @@ public final OperationFuture<ImportDataResponse, ImportDataOperationMetadata> im
   /**
    * Imports data into a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
+   *   List<ImportDataConfig> importConfigs = new ArrayList<>();
+   *   ImportDataResponse response = datasetServiceClient.importDataAsync(name, importConfigs).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Dataset resource. Format:
    *     `projects/{project}/locations/{location}/datasets/{dataset}`
    * @param importConfigs Required. The desired input locations. The contents of all input locations
@@ -472,6 +774,19 @@ public final OperationFuture<ImportDataResponse, ImportDataOperationMetadata> im
   /**
    * Imports data into a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ImportDataRequest request =
+   *       ImportDataRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .addAllImportConfigs(new ArrayList<ImportDataConfig>())
+   *           .build();
+   *   ImportDataResponse response = datasetServiceClient.importDataAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -485,6 +800,20 @@ public final OperationFuture<ImportDataResponse, ImportDataOperationMetadata> im
    * Imports data into a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ImportDataRequest request =
+   *       ImportDataRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .addAllImportConfigs(new ArrayList<ImportDataConfig>())
+   *           .build();
+   *   OperationFuture<ImportDataResponse, ImportDataOperationMetadata> future =
+   *       datasetServiceClient.importDataOperationCallable().futureCall(request);
+   *   // Do something.
+   *   ImportDataResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
       importDataOperationCallable() {
@@ -496,6 +825,19 @@ public final OperationFuture<ImportDataResponse, ImportDataOperationMetadata> im
    * Imports data into a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ImportDataRequest request =
+   *       ImportDataRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .addAllImportConfigs(new ArrayList<ImportDataConfig>())
+   *           .build();
+   *   ApiFuture<Operation> future = datasetServiceClient.importDataCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ImportDataRequest, Operation> importDataCallable() {
     return stub.importDataCallable();
@@ -505,6 +847,16 @@ public final UnaryCallable<ImportDataRequest, Operation> importDataCallable() {
   /**
    * Exports data from a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   ExportDataConfig exportConfig = ExportDataConfig.newBuilder().build();
+   *   ExportDataResponse response = datasetServiceClient.exportDataAsync(name, exportConfig).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Dataset resource. Format:
    *     `projects/{project}/locations/{location}/datasets/{dataset}`
    * @param exportConfig Required. The desired output location.
@@ -524,6 +876,16 @@ public final OperationFuture<ExportDataResponse, ExportDataOperationMetadata> ex
   /**
    * Exports data from a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
+   *   ExportDataConfig exportConfig = ExportDataConfig.newBuilder().build();
+   *   ExportDataResponse response = datasetServiceClient.exportDataAsync(name, exportConfig).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Dataset resource. Format:
    *     `projects/{project}/locations/{location}/datasets/{dataset}`
    * @param exportConfig Required. The desired output location.
@@ -540,6 +902,19 @@ public final OperationFuture<ExportDataResponse, ExportDataOperationMetadata> ex
   /**
    * Exports data from a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ExportDataRequest request =
+   *       ExportDataRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .setExportConfig(ExportDataConfig.newBuilder().build())
+   *           .build();
+   *   ExportDataResponse response = datasetServiceClient.exportDataAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -553,6 +928,20 @@ public final OperationFuture<ExportDataResponse, ExportDataOperationMetadata> ex
    * Exports data from a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ExportDataRequest request =
+   *       ExportDataRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .setExportConfig(ExportDataConfig.newBuilder().build())
+   *           .build();
+   *   OperationFuture<ExportDataResponse, ExportDataOperationMetadata> future =
+   *       datasetServiceClient.exportDataOperationCallable().futureCall(request);
+   *   // Do something.
+   *   ExportDataResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
       exportDataOperationCallable() {
@@ -564,6 +953,19 @@ public final OperationFuture<ExportDataResponse, ExportDataOperationMetadata> ex
    * Exports data from a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ExportDataRequest request =
+   *       ExportDataRequest.newBuilder()
+   *           .setName(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .setExportConfig(ExportDataConfig.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Operation> future = datasetServiceClient.exportDataCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ExportDataRequest, Operation> exportDataCallable() {
     return stub.exportDataCallable();
@@ -573,6 +975,17 @@ public final UnaryCallable<ExportDataRequest, Operation> exportDataCallable() {
   /**
    * Lists DataItems in a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+   *   for (DataItem element : datasetServiceClient.listDataItems(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Dataset to list DataItems from. Format:
    *     `projects/{project}/locations/{location}/datasets/{dataset}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -589,6 +1002,17 @@ public final ListDataItemsPagedResponse listDataItems(DatasetName parent) {
   /**
    * Lists DataItems in a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString();
+   *   for (DataItem element : datasetServiceClient.listDataItems(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Dataset to list DataItems from. Format:
    *     `projects/{project}/locations/{location}/datasets/{dataset}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -602,6 +1026,25 @@ public final ListDataItemsPagedResponse listDataItems(String parent) {
   /**
    * Lists DataItems in a Dataset.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ListDataItemsRequest request =
+   *       ListDataItemsRequest.newBuilder()
+   *           .setParent(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .setOrderBy("orderBy-1207110587")
+   *           .build();
+   *   for (DataItem element : datasetServiceClient.listDataItems(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -614,6 +1057,26 @@ public final ListDataItemsPagedResponse listDataItems(ListDataItemsRequest reque
    * Lists DataItems in a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ListDataItemsRequest request =
+   *       ListDataItemsRequest.newBuilder()
+   *           .setParent(DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .setOrderBy("orderBy-1207110587")
+   *           .build();
+   *   ApiFuture<DataItem> future =
+   *       datasetServiceClient.listDataItemsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (DataItem element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListDataItemsRequest, ListDataItemsPagedResponse>
       listDataItemsPagedCallable() {
@@ -625,6 +1088,23 @@ public final ListDataItemsPagedResponse listDataItems(ListDataItemsRequest reque
    * Lists DataItems in a Dataset.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   while (true) {
+   *     ListDataItemsResponse response = datasetServiceClient.listDataItemsCallable().call(request);
+   *     for (DataItem element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListDataItemsRequest, ListDataItemsResponse> listDataItemsCallable() {
     return stub.listDataItemsCallable();
@@ -634,6 +1114,16 @@ public final UnaryCallable<ListDataItemsRequest, ListDataItemsResponse> listData
   /**
    * Gets an AnnotationSpec.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   AnnotationSpecName name =
+   *       AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
+   *   AnnotationSpec response = datasetServiceClient.getAnnotationSpec(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the AnnotationSpec resource. Format:
    *     <p>`projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -650,6 +1140,17 @@ public final AnnotationSpec getAnnotationSpec(AnnotationSpecName name) {
   /**
    * Gets an AnnotationSpec.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String name =
+   *       AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]")
+   *           .toString();
+   *   AnnotationSpec response = datasetServiceClient.getAnnotationSpec(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the AnnotationSpec resource. Format:
    *     <p>`projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -663,6 +1164,21 @@ public final AnnotationSpec getAnnotationSpec(String name) {
   /**
    * Gets an AnnotationSpec.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   GetAnnotationSpecRequest request =
+   *       GetAnnotationSpecRequest.newBuilder()
+   *           .setName(
+   *               AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]")
+   *                   .toString())
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   AnnotationSpec response = datasetServiceClient.getAnnotationSpec(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -675,6 +1191,22 @@ public final AnnotationSpec getAnnotationSpec(GetAnnotationSpecRequest request)
    * Gets an AnnotationSpec.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   GetAnnotationSpecRequest request =
+   *       GetAnnotationSpecRequest.newBuilder()
+   *           .setName(
+   *               AnnotationSpecName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]")
+   *                   .toString())
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<AnnotationSpec> future =
+   *       datasetServiceClient.getAnnotationSpecCallable().futureCall(request);
+   *   // Do something.
+   *   AnnotationSpec response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecCallable() {
     return stub.getAnnotationSpecCallable();
@@ -684,6 +1216,17 @@ public final UnaryCallable<GetAnnotationSpecRequest, AnnotationSpec> getAnnotati
   /**
    * Lists Annotations belongs to a dataitem
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   DataItemName parent = DataItemName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[DATA_ITEM]");
+   *   for (Annotation element : datasetServiceClient.listAnnotations(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the DataItem to list Annotations from. Format:
    *     <p>`projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -700,6 +1243,18 @@ public final ListAnnotationsPagedResponse listAnnotations(DataItemName parent) {
   /**
    * Lists Annotations belongs to a dataitem
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   String parent =
+   *       DataItemName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[DATA_ITEM]").toString();
+   *   for (Annotation element : datasetServiceClient.listAnnotations(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the DataItem to list Annotations from. Format:
    *     <p>`projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -713,6 +1268,26 @@ public final ListAnnotationsPagedResponse listAnnotations(String parent) {
   /**
    * Lists Annotations belongs to a dataitem
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ListAnnotationsRequest request =
+   *       ListAnnotationsRequest.newBuilder()
+   *           .setParent(
+   *               DataItemName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[DATA_ITEM]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .setOrderBy("orderBy-1207110587")
+   *           .build();
+   *   for (Annotation element : datasetServiceClient.listAnnotations(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -725,6 +1300,27 @@ public final ListAnnotationsPagedResponse listAnnotations(ListAnnotationsRequest
    * Lists Annotations belongs to a dataitem
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   ListAnnotationsRequest request =
+   *       ListAnnotationsRequest.newBuilder()
+   *           .setParent(
+   *               DataItemName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[DATA_ITEM]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .setOrderBy("orderBy-1207110587")
+   *           .build();
+   *   ApiFuture<Annotation> future =
+   *       datasetServiceClient.listAnnotationsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (Annotation element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListAnnotationsRequest, ListAnnotationsPagedResponse>
       listAnnotationsPagedCallable() {
@@ -736,6 +1332,24 @@ public final ListAnnotationsPagedResponse listAnnotations(ListAnnotationsRequest
    * Lists Annotations belongs to a dataitem
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+   *   while (true) {
+   *     ListAnnotationsResponse response =
+   *         datasetServiceClient.listAnnotationsCallable().call(request);
+   *     for (Annotation element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListAnnotationsRequest, ListAnnotationsResponse>
       listAnnotationsCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
index 83b583f35..eb1647f5e 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
@@ -46,6 +46,13 @@
  * This class provides the ability to make remote calls to the backing service through method calls
  * that map to API methods. Sample code to get started:
  *
+ * <pre>{@code
+ * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+ *   EndpointName name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+ *   Endpoint response = endpointServiceClient.getEndpoint(name);
+ * }
+ * }</pre>
+ *
  * <p>Note: close() needs to be called on the EndpointServiceClient object to clean up resources
  * such as threads. In the example above, try-with-resources is used, which automatically calls
  * close().
@@ -164,6 +171,16 @@ public final OperationsClient getOperationsClient() {
   /**
    * Creates an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Endpoint endpoint = Endpoint.newBuilder().build();
+   *   Endpoint response = endpointServiceClient.createEndpointAsync(parent, endpoint).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the Endpoint in. Format:
    *     `projects/{project}/locations/{location}`
    * @param endpoint Required. The Endpoint to create.
@@ -183,6 +200,16 @@ public final OperationFuture<Endpoint, CreateEndpointOperationMetadata> createEn
   /**
    * Creates an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   Endpoint endpoint = Endpoint.newBuilder().build();
+   *   Endpoint response = endpointServiceClient.createEndpointAsync(parent, endpoint).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the Endpoint in. Format:
    *     `projects/{project}/locations/{location}`
    * @param endpoint Required. The Endpoint to create.
@@ -199,6 +226,19 @@ public final OperationFuture<Endpoint, CreateEndpointOperationMetadata> createEn
   /**
    * Creates an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   CreateEndpointRequest request =
+   *       CreateEndpointRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setEndpoint(Endpoint.newBuilder().build())
+   *           .build();
+   *   Endpoint response = endpointServiceClient.createEndpointAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -212,6 +252,20 @@ public final OperationFuture<Endpoint, CreateEndpointOperationMetadata> createEn
    * Creates an Endpoint.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   CreateEndpointRequest request =
+   *       CreateEndpointRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setEndpoint(Endpoint.newBuilder().build())
+   *           .build();
+   *   OperationFuture<Endpoint, CreateEndpointOperationMetadata> future =
+   *       endpointServiceClient.createEndpointOperationCallable().futureCall(request);
+   *   // Do something.
+   *   Endpoint response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
       createEndpointOperationCallable() {
@@ -223,6 +277,20 @@ public final OperationFuture<Endpoint, CreateEndpointOperationMetadata> createEn
    * Creates an Endpoint.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   CreateEndpointRequest request =
+   *       CreateEndpointRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setEndpoint(Endpoint.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       endpointServiceClient.createEndpointCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CreateEndpointRequest, Operation> createEndpointCallable() {
     return stub.createEndpointCallable();
@@ -232,6 +300,15 @@ public final UnaryCallable<CreateEndpointRequest, Operation> createEndpointCalla
   /**
    * Gets an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   EndpointName name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+   *   Endpoint response = endpointServiceClient.getEndpoint(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Endpoint resource. Format:
    *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -246,6 +323,15 @@ public final Endpoint getEndpoint(EndpointName name) {
   /**
    * Gets an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   String name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString();
+   *   Endpoint response = endpointServiceClient.getEndpoint(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Endpoint resource. Format:
    *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -259,6 +345,18 @@ public final Endpoint getEndpoint(String name) {
   /**
    * Gets an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   GetEndpointRequest request =
+   *       GetEndpointRequest.newBuilder()
+   *           .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .build();
+   *   Endpoint response = endpointServiceClient.getEndpoint(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -271,6 +369,18 @@ public final Endpoint getEndpoint(GetEndpointRequest request) {
    * Gets an Endpoint.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   GetEndpointRequest request =
+   *       GetEndpointRequest.newBuilder()
+   *           .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .build();
+   *   ApiFuture<Endpoint> future = endpointServiceClient.getEndpointCallable().futureCall(request);
+   *   // Do something.
+   *   Endpoint response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetEndpointRequest, Endpoint> getEndpointCallable() {
     return stub.getEndpointCallable();
@@ -280,6 +390,17 @@ public final UnaryCallable<GetEndpointRequest, Endpoint> getEndpointCallable() {
   /**
    * Lists Endpoints in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (Endpoint element : endpointServiceClient.listEndpoints(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location from which to list the Endpoints.
    *     Format: `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -296,6 +417,17 @@ public final ListEndpointsPagedResponse listEndpoints(LocationName parent) {
   /**
    * Lists Endpoints in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (Endpoint element : endpointServiceClient.listEndpoints(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location from which to list the Endpoints.
    *     Format: `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -309,6 +441,24 @@ public final ListEndpointsPagedResponse listEndpoints(String parent) {
   /**
    * Lists Endpoints in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   ListEndpointsRequest request =
+   *       ListEndpointsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (Endpoint element : endpointServiceClient.listEndpoints(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -321,6 +471,25 @@ public final ListEndpointsPagedResponse listEndpoints(ListEndpointsRequest reque
    * Lists Endpoints in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   ListEndpointsRequest request =
+   *       ListEndpointsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Endpoint> future =
+   *       endpointServiceClient.listEndpointsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (Endpoint element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListEndpointsRequest, ListEndpointsPagedResponse>
       listEndpointsPagedCallable() {
@@ -332,6 +501,24 @@ public final ListEndpointsPagedResponse listEndpoints(ListEndpointsRequest reque
    * Lists Endpoints in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   while (true) {
+   *     ListEndpointsResponse response =
+   *         endpointServiceClient.listEndpointsCallable().call(request);
+   *     for (Endpoint element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndpointsCallable() {
     return stub.listEndpointsCallable();
@@ -341,6 +528,16 @@ public final UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndp
   /**
    * Updates an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   Endpoint endpoint = Endpoint.newBuilder().build();
+   *   FieldMask updateMask = FieldMask.newBuilder().build();
+   *   Endpoint response = endpointServiceClient.updateEndpoint(endpoint, updateMask);
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The Endpoint which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -355,6 +552,19 @@ public final Endpoint updateEndpoint(Endpoint endpoint, FieldMask updateMask) {
   /**
    * Updates an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   UpdateEndpointRequest request =
+   *       UpdateEndpointRequest.newBuilder()
+   *           .setEndpoint(Endpoint.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   Endpoint response = endpointServiceClient.updateEndpoint(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -367,6 +577,20 @@ public final Endpoint updateEndpoint(UpdateEndpointRequest request) {
    * Updates an Endpoint.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   UpdateEndpointRequest request =
+   *       UpdateEndpointRequest.newBuilder()
+   *           .setEndpoint(Endpoint.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Endpoint> future =
+   *       endpointServiceClient.updateEndpointCallable().futureCall(request);
+   *   // Do something.
+   *   Endpoint response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<UpdateEndpointRequest, Endpoint> updateEndpointCallable() {
     return stub.updateEndpointCallable();
@@ -376,6 +600,15 @@ public final UnaryCallable<UpdateEndpointRequest, Endpoint> updateEndpointCallab
   /**
    * Deletes an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   EndpointName name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+   *   endpointServiceClient.deleteEndpointAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Endpoint resource to be deleted. Format:
    *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -391,6 +624,15 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteEndpointAsync
   /**
    * Deletes an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   String name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString();
+   *   endpointServiceClient.deleteEndpointAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Endpoint resource to be deleted. Format:
    *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -404,6 +646,18 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteEndpointAsync
   /**
    * Deletes an Endpoint.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   DeleteEndpointRequest request =
+   *       DeleteEndpointRequest.newBuilder()
+   *           .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .build();
+   *   endpointServiceClient.deleteEndpointAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -417,6 +671,19 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteEndpointAsync
    * Deletes an Endpoint.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   DeleteEndpointRequest request =
+   *       DeleteEndpointRequest.newBuilder()
+   *           .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       endpointServiceClient.deleteEndpointOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
       deleteEndpointOperationCallable() {
@@ -428,6 +695,19 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteEndpointAsync
    * Deletes an Endpoint.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   DeleteEndpointRequest request =
+   *       DeleteEndpointRequest.newBuilder()
+   *           .setName(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       endpointServiceClient.deleteEndpointCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteEndpointRequest, Operation> deleteEndpointCallable() {
     return stub.deleteEndpointCallable();
@@ -437,6 +717,18 @@ public final UnaryCallable<DeleteEndpointRequest, Operation> deleteEndpointCalla
   /**
    * Deploys a Model into this Endpoint, creating a DeployedModel within it.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+   *   DeployedModel deployedModel = DeployedModel.newBuilder().build();
+   *   Map<String, Integer> trafficSplit = new HashMap<>();
+   *   DeployModelResponse response =
+   *       endpointServiceClient.deployModelAsync(endpoint, deployedModel, trafficSplit).get();
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The name of the Endpoint resource into which to deploy a Model.
    *     Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @param deployedModel Required. The DeployedModel to be created within the Endpoint. Note that
@@ -470,6 +762,18 @@ public final OperationFuture<DeployModelResponse, DeployModelOperationMetadata>
   /**
    * Deploys a Model into this Endpoint, creating a DeployedModel within it.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   String endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString();
+   *   DeployedModel deployedModel = DeployedModel.newBuilder().build();
+   *   Map<String, Integer> trafficSplit = new HashMap<>();
+   *   DeployModelResponse response =
+   *       endpointServiceClient.deployModelAsync(endpoint, deployedModel, trafficSplit).get();
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The name of the Endpoint resource into which to deploy a Model.
    *     Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @param deployedModel Required. The DeployedModel to be created within the Endpoint. Note that
@@ -503,6 +807,20 @@ public final OperationFuture<DeployModelResponse, DeployModelOperationMetadata>
   /**
    * Deploys a Model into this Endpoint, creating a DeployedModel within it.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   DeployModelRequest request =
+   *       DeployModelRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .setDeployedModel(DeployedModel.newBuilder().build())
+   *           .putAllTrafficSplit(new HashMap<String, Integer>())
+   *           .build();
+   *   DeployModelResponse response = endpointServiceClient.deployModelAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -516,6 +834,21 @@ public final OperationFuture<DeployModelResponse, DeployModelOperationMetadata>
    * Deploys a Model into this Endpoint, creating a DeployedModel within it.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   DeployModelRequest request =
+   *       DeployModelRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .setDeployedModel(DeployedModel.newBuilder().build())
+   *           .putAllTrafficSplit(new HashMap<String, Integer>())
+   *           .build();
+   *   OperationFuture<DeployModelResponse, DeployModelOperationMetadata> future =
+   *       endpointServiceClient.deployModelOperationCallable().futureCall(request);
+   *   // Do something.
+   *   DeployModelResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<
           DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
@@ -528,6 +861,20 @@ public final OperationFuture<DeployModelResponse, DeployModelOperationMetadata>
    * Deploys a Model into this Endpoint, creating a DeployedModel within it.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   DeployModelRequest request =
+   *       DeployModelRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .setDeployedModel(DeployedModel.newBuilder().build())
+   *           .putAllTrafficSplit(new HashMap<String, Integer>())
+   *           .build();
+   *   ApiFuture<Operation> future = endpointServiceClient.deployModelCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeployModelRequest, Operation> deployModelCallable() {
     return stub.deployModelCallable();
@@ -538,6 +885,18 @@ public final UnaryCallable<DeployModelRequest, Operation> deployModelCallable()
    * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources
    * it's using.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+   *   String deployedModelId = "deployedModelId-1817547906";
+   *   Map<String, Integer> trafficSplit = new HashMap<>();
+   *   UndeployModelResponse response =
+   *       endpointServiceClient.undeployModelAsync(endpoint, deployedModelId, trafficSplit).get();
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The name of the Endpoint resource from which to undeploy a Model.
    *     Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @param deployedModelId Required. The ID of the DeployedModel to be undeployed from the
@@ -567,6 +926,18 @@ public final UnaryCallable<DeployModelRequest, Operation> deployModelCallable()
    * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources
    * it's using.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   String endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString();
+   *   String deployedModelId = "deployedModelId-1817547906";
+   *   Map<String, Integer> trafficSplit = new HashMap<>();
+   *   UndeployModelResponse response =
+   *       endpointServiceClient.undeployModelAsync(endpoint, deployedModelId, trafficSplit).get();
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The name of the Endpoint resource from which to undeploy a Model.
    *     Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @param deployedModelId Required. The ID of the DeployedModel to be undeployed from the
@@ -596,6 +967,20 @@ public final UnaryCallable<DeployModelRequest, Operation> deployModelCallable()
    * Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources
    * it's using.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   UndeployModelRequest request =
+   *       UndeployModelRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .setDeployedModelId("deployedModelId-1817547906")
+   *           .putAllTrafficSplit(new HashMap<String, Integer>())
+   *           .build();
+   *   UndeployModelResponse response = endpointServiceClient.undeployModelAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -610,6 +995,21 @@ public final UnaryCallable<DeployModelRequest, Operation> deployModelCallable()
    * it's using.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   UndeployModelRequest request =
+   *       UndeployModelRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .setDeployedModelId("deployedModelId-1817547906")
+   *           .putAllTrafficSplit(new HashMap<String, Integer>())
+   *           .build();
+   *   OperationFuture<UndeployModelResponse, UndeployModelOperationMetadata> future =
+   *       endpointServiceClient.undeployModelOperationCallable().futureCall(request);
+   *   // Do something.
+   *   UndeployModelResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<
           UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
@@ -623,6 +1023,21 @@ public final UnaryCallable<DeployModelRequest, Operation> deployModelCallable()
    * it's using.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+   *   UndeployModelRequest request =
+   *       UndeployModelRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .setDeployedModelId("deployedModelId-1817547906")
+   *           .putAllTrafficSplit(new HashMap<String, Integer>())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       endpointServiceClient.undeployModelCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<UndeployModelRequest, Operation> undeployModelCallable() {
     return stub.undeployModelCallable();
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
index 7425d2019..37dc51504 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
@@ -46,6 +46,14 @@
  * <p>This class provides the ability to make remote calls to the backing service through method
  * calls that map to API methods. Sample code to get started:
  *
+ * <pre>{@code
+ * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+ *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+ *   CustomJob customJob = CustomJob.newBuilder().build();
+ *   CustomJob response = jobServiceClient.createCustomJob(parent, customJob);
+ * }
+ * }</pre>
+ *
  * <p>Note: close() needs to be called on the JobServiceClient object to clean up resources such as
  * threads. In the example above, try-with-resources is used, which automatically calls close().
  *
@@ -159,6 +167,16 @@ public final OperationsClient getOperationsClient() {
   /**
    * Creates a CustomJob. A created CustomJob right away will be attempted to be run.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   CustomJob customJob = CustomJob.newBuilder().build();
+   *   CustomJob response = jobServiceClient.createCustomJob(parent, customJob);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the CustomJob in. Format:
    *     `projects/{project}/locations/{location}`
    * @param customJob Required. The CustomJob to create.
@@ -177,6 +195,16 @@ public final CustomJob createCustomJob(LocationName parent, CustomJob customJob)
   /**
    * Creates a CustomJob. A created CustomJob right away will be attempted to be run.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   CustomJob customJob = CustomJob.newBuilder().build();
+   *   CustomJob response = jobServiceClient.createCustomJob(parent, customJob);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the CustomJob in. Format:
    *     `projects/{project}/locations/{location}`
    * @param customJob Required. The CustomJob to create.
@@ -192,6 +220,19 @@ public final CustomJob createCustomJob(String parent, CustomJob customJob) {
   /**
    * Creates a CustomJob. A created CustomJob right away will be attempted to be run.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CreateCustomJobRequest request =
+   *       CreateCustomJobRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setCustomJob(CustomJob.newBuilder().build())
+   *           .build();
+   *   CustomJob response = jobServiceClient.createCustomJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -204,6 +245,19 @@ public final CustomJob createCustomJob(CreateCustomJobRequest request) {
    * Creates a CustomJob. A created CustomJob right away will be attempted to be run.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CreateCustomJobRequest request =
+   *       CreateCustomJobRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setCustomJob(CustomJob.newBuilder().build())
+   *           .build();
+   *   ApiFuture<CustomJob> future = jobServiceClient.createCustomJobCallable().futureCall(request);
+   *   // Do something.
+   *   CustomJob response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CreateCustomJobRequest, CustomJob> createCustomJobCallable() {
     return stub.createCustomJobCallable();
@@ -213,6 +267,15 @@ public final UnaryCallable<CreateCustomJobRequest, CustomJob> createCustomJobCal
   /**
    * Gets a CustomJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+   *   CustomJob response = jobServiceClient.getCustomJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the CustomJob resource. Format:
    *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -227,6 +290,15 @@ public final CustomJob getCustomJob(CustomJobName name) {
   /**
    * Gets a CustomJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString();
+   *   CustomJob response = jobServiceClient.getCustomJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the CustomJob resource. Format:
    *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -240,6 +312,18 @@ public final CustomJob getCustomJob(String name) {
   /**
    * Gets a CustomJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   GetCustomJobRequest request =
+   *       GetCustomJobRequest.newBuilder()
+   *           .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+   *           .build();
+   *   CustomJob response = jobServiceClient.getCustomJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -252,6 +336,18 @@ public final CustomJob getCustomJob(GetCustomJobRequest request) {
    * Gets a CustomJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   GetCustomJobRequest request =
+   *       GetCustomJobRequest.newBuilder()
+   *           .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+   *           .build();
+   *   ApiFuture<CustomJob> future = jobServiceClient.getCustomJobCallable().futureCall(request);
+   *   // Do something.
+   *   CustomJob response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetCustomJobRequest, CustomJob> getCustomJobCallable() {
     return stub.getCustomJobCallable();
@@ -261,6 +357,17 @@ public final UnaryCallable<GetCustomJobRequest, CustomJob> getCustomJobCallable(
   /**
    * Lists CustomJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (CustomJob element : jobServiceClient.listCustomJobs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the CustomJobs from. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -277,6 +384,17 @@ public final ListCustomJobsPagedResponse listCustomJobs(LocationName parent) {
   /**
    * Lists CustomJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (CustomJob element : jobServiceClient.listCustomJobs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the CustomJobs from. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -290,6 +408,24 @@ public final ListCustomJobsPagedResponse listCustomJobs(String parent) {
   /**
    * Lists CustomJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   ListCustomJobsRequest request =
+   *       ListCustomJobsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (CustomJob element : jobServiceClient.listCustomJobs(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -302,6 +438,25 @@ public final ListCustomJobsPagedResponse listCustomJobs(ListCustomJobsRequest re
    * Lists CustomJobs in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   ListCustomJobsRequest request =
+   *       ListCustomJobsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<CustomJob> future =
+   *       jobServiceClient.listCustomJobsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (CustomJob element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListCustomJobsRequest, ListCustomJobsPagedResponse>
       listCustomJobsPagedCallable() {
@@ -313,6 +468,23 @@ public final ListCustomJobsPagedResponse listCustomJobs(ListCustomJobsRequest re
    * Lists CustomJobs in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   while (true) {
+   *     ListCustomJobsResponse response = jobServiceClient.listCustomJobsCallable().call(request);
+   *     for (CustomJob element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListCustomJobsRequest, ListCustomJobsResponse>
       listCustomJobsCallable() {
@@ -323,6 +495,15 @@ public final ListCustomJobsPagedResponse listCustomJobs(ListCustomJobsRequest re
   /**
    * Deletes a CustomJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+   *   jobServiceClient.deleteCustomJobAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the CustomJob resource to be deleted. Format:
    *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -338,6 +519,15 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteCustomJobAsyn
   /**
    * Deletes a CustomJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString();
+   *   jobServiceClient.deleteCustomJobAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the CustomJob resource to be deleted. Format:
    *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -351,6 +541,18 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteCustomJobAsyn
   /**
    * Deletes a CustomJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteCustomJobRequest request =
+   *       DeleteCustomJobRequest.newBuilder()
+   *           .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+   *           .build();
+   *   jobServiceClient.deleteCustomJobAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -364,6 +566,19 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteCustomJobAsyn
    * Deletes a CustomJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteCustomJobRequest request =
+   *       DeleteCustomJobRequest.newBuilder()
+   *           .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       jobServiceClient.deleteCustomJobOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
       deleteCustomJobOperationCallable() {
@@ -375,6 +590,18 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteCustomJobAsyn
    * Deletes a CustomJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteCustomJobRequest request =
+   *       DeleteCustomJobRequest.newBuilder()
+   *           .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+   *           .build();
+   *   ApiFuture<Operation> future = jobServiceClient.deleteCustomJobCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteCustomJobRequest, Operation> deleteCustomJobCallable() {
     return stub.deleteCustomJobCallable();
@@ -391,6 +618,15 @@ public final UnaryCallable<DeleteCustomJobRequest, Operation> deleteCustomJobCal
    * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
    * [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CustomJobName name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]");
+   *   jobServiceClient.cancelCustomJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the CustomJob to cancel. Format:
    *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -412,6 +648,15 @@ public final void cancelCustomJob(CustomJobName name) {
    * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
    * [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name = CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString();
+   *   jobServiceClient.cancelCustomJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the CustomJob to cancel. Format:
    *     `projects/{project}/locations/{location}/customJobs/{custom_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -432,6 +677,18 @@ public final void cancelCustomJob(String name) {
    * [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to `Code.CANCELLED`, and
    * [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CancelCustomJobRequest request =
+   *       CancelCustomJobRequest.newBuilder()
+   *           .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+   *           .build();
+   *   jobServiceClient.cancelCustomJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -451,6 +708,18 @@ public final void cancelCustomJob(CancelCustomJobRequest request) {
    * [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to `CANCELLED`.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CancelCustomJobRequest request =
+   *       CancelCustomJobRequest.newBuilder()
+   *           .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
+   *           .build();
+   *   ApiFuture<Empty> future = jobServiceClient.cancelCustomJobCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CancelCustomJobRequest, Empty> cancelCustomJobCallable() {
     return stub.cancelCustomJobCallable();
@@ -460,6 +729,16 @@ public final UnaryCallable<CancelCustomJobRequest, Empty> cancelCustomJobCallabl
   /**
    * Creates a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().build();
+   *   DataLabelingJob response = jobServiceClient.createDataLabelingJob(parent, dataLabelingJob);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The parent of the DataLabelingJob. Format:
    *     `projects/{project}/locations/{location}`
    * @param dataLabelingJob Required. The DataLabelingJob to create.
@@ -479,6 +758,16 @@ public final DataLabelingJob createDataLabelingJob(
   /**
    * Creates a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().build();
+   *   DataLabelingJob response = jobServiceClient.createDataLabelingJob(parent, dataLabelingJob);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The parent of the DataLabelingJob. Format:
    *     `projects/{project}/locations/{location}`
    * @param dataLabelingJob Required. The DataLabelingJob to create.
@@ -498,6 +787,19 @@ public final DataLabelingJob createDataLabelingJob(
   /**
    * Creates a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CreateDataLabelingJobRequest request =
+   *       CreateDataLabelingJobRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setDataLabelingJob(DataLabelingJob.newBuilder().build())
+   *           .build();
+   *   DataLabelingJob response = jobServiceClient.createDataLabelingJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -510,6 +812,20 @@ public final DataLabelingJob createDataLabelingJob(CreateDataLabelingJobRequest
    * Creates a DataLabelingJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CreateDataLabelingJobRequest request =
+   *       CreateDataLabelingJobRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setDataLabelingJob(DataLabelingJob.newBuilder().build())
+   *           .build();
+   *   ApiFuture<DataLabelingJob> future =
+   *       jobServiceClient.createDataLabelingJobCallable().futureCall(request);
+   *   // Do something.
+   *   DataLabelingJob response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CreateDataLabelingJobRequest, DataLabelingJob>
       createDataLabelingJobCallable() {
@@ -520,6 +836,16 @@ public final DataLabelingJob createDataLabelingJob(CreateDataLabelingJobRequest
   /**
    * Gets a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DataLabelingJobName name =
+   *       DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+   *   DataLabelingJob response = jobServiceClient.getDataLabelingJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the DataLabelingJob. Format:
    *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -536,6 +862,16 @@ public final DataLabelingJob getDataLabelingJob(DataLabelingJobName name) {
   /**
    * Gets a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]").toString();
+   *   DataLabelingJob response = jobServiceClient.getDataLabelingJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the DataLabelingJob. Format:
    *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -550,6 +886,20 @@ public final DataLabelingJob getDataLabelingJob(String name) {
   /**
    * Gets a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   GetDataLabelingJobRequest request =
+   *       GetDataLabelingJobRequest.newBuilder()
+   *           .setName(
+   *               DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   DataLabelingJob response = jobServiceClient.getDataLabelingJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -562,6 +912,21 @@ public final DataLabelingJob getDataLabelingJob(GetDataLabelingJobRequest reques
    * Gets a DataLabelingJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   GetDataLabelingJobRequest request =
+   *       GetDataLabelingJobRequest.newBuilder()
+   *           .setName(
+   *               DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<DataLabelingJob> future =
+   *       jobServiceClient.getDataLabelingJobCallable().futureCall(request);
+   *   // Do something.
+   *   DataLabelingJob response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetDataLabelingJobRequest, DataLabelingJob>
       getDataLabelingJobCallable() {
@@ -572,6 +937,17 @@ public final DataLabelingJob getDataLabelingJob(GetDataLabelingJobRequest reques
   /**
    * Lists DataLabelingJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (DataLabelingJob element : jobServiceClient.listDataLabelingJobs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The parent of the DataLabelingJob. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -588,6 +964,17 @@ public final ListDataLabelingJobsPagedResponse listDataLabelingJobs(LocationName
   /**
    * Lists DataLabelingJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (DataLabelingJob element : jobServiceClient.listDataLabelingJobs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The parent of the DataLabelingJob. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -602,6 +989,25 @@ public final ListDataLabelingJobsPagedResponse listDataLabelingJobs(String paren
   /**
    * Lists DataLabelingJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   ListDataLabelingJobsRequest request =
+   *       ListDataLabelingJobsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .setOrderBy("orderBy-1207110587")
+   *           .build();
+   *   for (DataLabelingJob element : jobServiceClient.listDataLabelingJobs(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -615,6 +1021,26 @@ public final ListDataLabelingJobsPagedResponse listDataLabelingJobs(
    * Lists DataLabelingJobs in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   ListDataLabelingJobsRequest request =
+   *       ListDataLabelingJobsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .setOrderBy("orderBy-1207110587")
+   *           .build();
+   *   ApiFuture<DataLabelingJob> future =
+   *       jobServiceClient.listDataLabelingJobsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (DataLabelingJob element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsPagedResponse>
       listDataLabelingJobsPagedCallable() {
@@ -626,6 +1052,24 @@ public final ListDataLabelingJobsPagedResponse listDataLabelingJobs(
    * Lists DataLabelingJobs in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   while (true) {
+   *     ListDataLabelingJobsResponse response =
+   *         jobServiceClient.listDataLabelingJobsCallable().call(request);
+   *     for (DataLabelingJob element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>
       listDataLabelingJobsCallable() {
@@ -636,6 +1080,16 @@ public final ListDataLabelingJobsPagedResponse listDataLabelingJobs(
   /**
    * Deletes a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DataLabelingJobName name =
+   *       DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+   *   jobServiceClient.deleteDataLabelingJobAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the DataLabelingJob to be deleted. Format:
    *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -653,6 +1107,16 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDataLabelingJ
   /**
    * Deletes a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]").toString();
+   *   jobServiceClient.deleteDataLabelingJobAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the DataLabelingJob to be deleted. Format:
    *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -668,6 +1132,20 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDataLabelingJ
   /**
    * Deletes a DataLabelingJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteDataLabelingJobRequest request =
+   *       DeleteDataLabelingJobRequest.newBuilder()
+   *           .setName(
+   *               DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   jobServiceClient.deleteDataLabelingJobAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -681,6 +1159,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDataLabelingJ
    * Deletes a DataLabelingJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteDataLabelingJobRequest request =
+   *       DeleteDataLabelingJobRequest.newBuilder()
+   *           .setName(
+   *               DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       jobServiceClient.deleteDataLabelingJobOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
       deleteDataLabelingJobOperationCallable() {
@@ -692,6 +1185,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDataLabelingJ
    * Deletes a DataLabelingJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteDataLabelingJobRequest request =
+   *       DeleteDataLabelingJobRequest.newBuilder()
+   *           .setName(
+   *               DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       jobServiceClient.deleteDataLabelingJobCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteDataLabelingJobRequest, Operation>
       deleteDataLabelingJobCallable() {
@@ -702,6 +1210,16 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteDataLabelingJ
   /**
    * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DataLabelingJobName name =
+   *       DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]");
+   *   jobServiceClient.cancelDataLabelingJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the DataLabelingJob. Format:
    *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -718,6 +1236,16 @@ public final void cancelDataLabelingJob(DataLabelingJobName name) {
   /**
    * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]").toString();
+   *   jobServiceClient.cancelDataLabelingJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the DataLabelingJob. Format:
    *     <p>`projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -732,6 +1260,20 @@ public final void cancelDataLabelingJob(String name) {
   /**
    * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CancelDataLabelingJobRequest request =
+   *       CancelDataLabelingJobRequest.newBuilder()
+   *           .setName(
+   *               DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   jobServiceClient.cancelDataLabelingJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -744,6 +1286,21 @@ public final void cancelDataLabelingJob(CancelDataLabelingJobRequest request) {
    * Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CancelDataLabelingJobRequest request =
+   *       CancelDataLabelingJobRequest.newBuilder()
+   *           .setName(
+   *               DataLabelingJobName.of("[PROJECT]", "[LOCATION]", "[DATA_LABELING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<Empty> future =
+   *       jobServiceClient.cancelDataLabelingJobCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobCallable() {
     return stub.cancelDataLabelingJobCallable();
@@ -753,6 +1310,18 @@ public final UnaryCallable<CancelDataLabelingJobRequest, Empty> cancelDataLabeli
   /**
    * Creates a HyperparameterTuningJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   HyperparameterTuningJob hyperparameterTuningJob =
+   *       HyperparameterTuningJob.newBuilder().build();
+   *   HyperparameterTuningJob response =
+   *       jobServiceClient.createHyperparameterTuningJob(parent, hyperparameterTuningJob);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the HyperparameterTuningJob
    *     in. Format: `projects/{project}/locations/{location}`
    * @param hyperparameterTuningJob Required. The HyperparameterTuningJob to create.
@@ -772,6 +1341,18 @@ public final HyperparameterTuningJob createHyperparameterTuningJob(
   /**
    * Creates a HyperparameterTuningJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   HyperparameterTuningJob hyperparameterTuningJob =
+   *       HyperparameterTuningJob.newBuilder().build();
+   *   HyperparameterTuningJob response =
+   *       jobServiceClient.createHyperparameterTuningJob(parent, hyperparameterTuningJob);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the HyperparameterTuningJob
    *     in. Format: `projects/{project}/locations/{location}`
    * @param hyperparameterTuningJob Required. The HyperparameterTuningJob to create.
@@ -791,6 +1372,19 @@ public final HyperparameterTuningJob createHyperparameterTuningJob(
   /**
    * Creates a HyperparameterTuningJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CreateHyperparameterTuningJobRequest request =
+   *       CreateHyperparameterTuningJobRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setHyperparameterTuningJob(HyperparameterTuningJob.newBuilder().build())
+   *           .build();
+   *   HyperparameterTuningJob response = jobServiceClient.createHyperparameterTuningJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -804,6 +1398,20 @@ public final HyperparameterTuningJob createHyperparameterTuningJob(
    * Creates a HyperparameterTuningJob
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CreateHyperparameterTuningJobRequest request =
+   *       CreateHyperparameterTuningJobRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setHyperparameterTuningJob(HyperparameterTuningJob.newBuilder().build())
+   *           .build();
+   *   ApiFuture<HyperparameterTuningJob> future =
+   *       jobServiceClient.createHyperparameterTuningJobCallable().futureCall(request);
+   *   // Do something.
+   *   HyperparameterTuningJob response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
       createHyperparameterTuningJobCallable() {
@@ -814,6 +1422,16 @@ public final HyperparameterTuningJob createHyperparameterTuningJob(
   /**
    * Gets a HyperparameterTuningJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   HyperparameterTuningJobName name =
+   *       HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+   *   HyperparameterTuningJob response = jobServiceClient.getHyperparameterTuningJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the HyperparameterTuningJob resource. Format:
    *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -831,6 +1449,17 @@ public final HyperparameterTuningJob getHyperparameterTuningJob(
   /**
    * Gets a HyperparameterTuningJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *           .toString();
+   *   HyperparameterTuningJob response = jobServiceClient.getHyperparameterTuningJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the HyperparameterTuningJob resource. Format:
    *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -845,6 +1474,21 @@ public final HyperparameterTuningJob getHyperparameterTuningJob(String name) {
   /**
    * Gets a HyperparameterTuningJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   GetHyperparameterTuningJobRequest request =
+   *       GetHyperparameterTuningJobRequest.newBuilder()
+   *           .setName(
+   *               HyperparameterTuningJobName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   HyperparameterTuningJob response = jobServiceClient.getHyperparameterTuningJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -858,6 +1502,22 @@ public final HyperparameterTuningJob getHyperparameterTuningJob(
    * Gets a HyperparameterTuningJob
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   GetHyperparameterTuningJobRequest request =
+   *       GetHyperparameterTuningJobRequest.newBuilder()
+   *           .setName(
+   *               HyperparameterTuningJobName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<HyperparameterTuningJob> future =
+   *       jobServiceClient.getHyperparameterTuningJobCallable().futureCall(request);
+   *   // Do something.
+   *   HyperparameterTuningJob response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
       getHyperparameterTuningJobCallable() {
@@ -868,6 +1528,18 @@ public final HyperparameterTuningJob getHyperparameterTuningJob(
   /**
    * Lists HyperparameterTuningJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (HyperparameterTuningJob element :
+   *       jobServiceClient.listHyperparameterTuningJobs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the HyperparameterTuningJobs
    *     from. Format: `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -885,6 +1557,18 @@ public final ListHyperparameterTuningJobsPagedResponse listHyperparameterTuningJ
   /**
    * Lists HyperparameterTuningJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (HyperparameterTuningJob element :
+   *       jobServiceClient.listHyperparameterTuningJobs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the HyperparameterTuningJobs
    *     from. Format: `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -900,6 +1584,25 @@ public final ListHyperparameterTuningJobsPagedResponse listHyperparameterTuningJ
   /**
    * Lists HyperparameterTuningJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   ListHyperparameterTuningJobsRequest request =
+   *       ListHyperparameterTuningJobsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (HyperparameterTuningJob element :
+   *       jobServiceClient.listHyperparameterTuningJobs(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -913,6 +1616,25 @@ public final ListHyperparameterTuningJobsPagedResponse listHyperparameterTuningJ
    * Lists HyperparameterTuningJobs in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   ListHyperparameterTuningJobsRequest request =
+   *       ListHyperparameterTuningJobsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<HyperparameterTuningJob> future =
+   *       jobServiceClient.listHyperparameterTuningJobsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (HyperparameterTuningJob element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<
           ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsPagedResponse>
@@ -925,6 +1647,24 @@ public final ListHyperparameterTuningJobsPagedResponse listHyperparameterTuningJ
    * Lists HyperparameterTuningJobs in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   while (true) {
+   *     ListHyperparameterTuningJobsResponse response =
+   *         jobServiceClient.listHyperparameterTuningJobsCallable().call(request);
+   *     for (HyperparameterTuningJob element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<
           ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
@@ -936,6 +1676,16 @@ public final ListHyperparameterTuningJobsPagedResponse listHyperparameterTuningJ
   /**
    * Deletes a HyperparameterTuningJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   HyperparameterTuningJobName name =
+   *       HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+   *   jobServiceClient.deleteHyperparameterTuningJobAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the HyperparameterTuningJob resource to be deleted. Format:
    *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -953,6 +1703,17 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteHyperparamete
   /**
    * Deletes a HyperparameterTuningJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *           .toString();
+   *   jobServiceClient.deleteHyperparameterTuningJobAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the HyperparameterTuningJob resource to be deleted. Format:
    *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -968,6 +1729,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteHyperparamete
   /**
    * Deletes a HyperparameterTuningJob.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteHyperparameterTuningJobRequest request =
+   *       DeleteHyperparameterTuningJobRequest.newBuilder()
+   *           .setName(
+   *               HyperparameterTuningJobName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   jobServiceClient.deleteHyperparameterTuningJobAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -981,6 +1757,22 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteHyperparamete
    * Deletes a HyperparameterTuningJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteHyperparameterTuningJobRequest request =
+   *       DeleteHyperparameterTuningJobRequest.newBuilder()
+   *           .setName(
+   *               HyperparameterTuningJobName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       jobServiceClient.deleteHyperparameterTuningJobOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<
           DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
@@ -993,6 +1785,22 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteHyperparamete
    * Deletes a HyperparameterTuningJob.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteHyperparameterTuningJobRequest request =
+   *       DeleteHyperparameterTuningJobRequest.newBuilder()
+   *           .setName(
+   *               HyperparameterTuningJobName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       jobServiceClient.deleteHyperparameterTuningJobCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteHyperparameterTuningJobRequest, Operation>
       deleteHyperparameterTuningJobCallable() {
@@ -1014,6 +1822,16 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteHyperparamete
    * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state]
    * is set to `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   HyperparameterTuningJobName name =
+   *       HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]");
+   *   jobServiceClient.cancelHyperparameterTuningJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the HyperparameterTuningJob to cancel. Format:
    *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1041,6 +1859,17 @@ public final void cancelHyperparameterTuningJob(HyperparameterTuningJobName name
    * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state]
    * is set to `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       HyperparameterTuningJobName.of("[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *           .toString();
+   *   jobServiceClient.cancelHyperparameterTuningJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the HyperparameterTuningJob to cancel. Format:
    *     <p>`projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1066,6 +1895,21 @@ public final void cancelHyperparameterTuningJob(String name) {
    * [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state]
    * is set to `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CancelHyperparameterTuningJobRequest request =
+   *       CancelHyperparameterTuningJobRequest.newBuilder()
+   *           .setName(
+   *               HyperparameterTuningJobName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   jobServiceClient.cancelHyperparameterTuningJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -1089,6 +1933,22 @@ public final void cancelHyperparameterTuningJob(CancelHyperparameterTuningJobReq
    * is set to `CANCELLED`.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CancelHyperparameterTuningJobRequest request =
+   *       CancelHyperparameterTuningJobRequest.newBuilder()
+   *           .setName(
+   *               HyperparameterTuningJobName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[HYPERPARAMETER_TUNING_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<Empty> future =
+   *       jobServiceClient.cancelHyperparameterTuningJobCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CancelHyperparameterTuningJobRequest, Empty>
       cancelHyperparameterTuningJobCallable() {
@@ -1100,6 +1960,17 @@ public final void cancelHyperparameterTuningJob(CancelHyperparameterTuningJobReq
    * Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to
    * start.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   BatchPredictionJob batchPredictionJob = BatchPredictionJob.newBuilder().build();
+   *   BatchPredictionJob response =
+   *       jobServiceClient.createBatchPredictionJob(parent, batchPredictionJob);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the BatchPredictionJob in.
    *     Format: `projects/{project}/locations/{location}`
    * @param batchPredictionJob Required. The BatchPredictionJob to create.
@@ -1120,6 +1991,17 @@ public final BatchPredictionJob createBatchPredictionJob(
    * Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to
    * start.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   BatchPredictionJob batchPredictionJob = BatchPredictionJob.newBuilder().build();
+   *   BatchPredictionJob response =
+   *       jobServiceClient.createBatchPredictionJob(parent, batchPredictionJob);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the BatchPredictionJob in.
    *     Format: `projects/{project}/locations/{location}`
    * @param batchPredictionJob Required. The BatchPredictionJob to create.
@@ -1140,6 +2022,19 @@ public final BatchPredictionJob createBatchPredictionJob(
    * Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to
    * start.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CreateBatchPredictionJobRequest request =
+   *       CreateBatchPredictionJobRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setBatchPredictionJob(BatchPredictionJob.newBuilder().build())
+   *           .build();
+   *   BatchPredictionJob response = jobServiceClient.createBatchPredictionJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -1154,6 +2049,20 @@ public final BatchPredictionJob createBatchPredictionJob(
    * start.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CreateBatchPredictionJobRequest request =
+   *       CreateBatchPredictionJobRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setBatchPredictionJob(BatchPredictionJob.newBuilder().build())
+   *           .build();
+   *   ApiFuture<BatchPredictionJob> future =
+   *       jobServiceClient.createBatchPredictionJobCallable().futureCall(request);
+   *   // Do something.
+   *   BatchPredictionJob response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CreateBatchPredictionJobRequest, BatchPredictionJob>
       createBatchPredictionJobCallable() {
@@ -1164,6 +2073,16 @@ public final BatchPredictionJob createBatchPredictionJob(
   /**
    * Gets a BatchPredictionJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   BatchPredictionJobName name =
+   *       BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+   *   BatchPredictionJob response = jobServiceClient.getBatchPredictionJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the BatchPredictionJob resource. Format:
    *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1180,6 +2099,16 @@ public final BatchPredictionJob getBatchPredictionJob(BatchPredictionJobName nam
   /**
    * Gets a BatchPredictionJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]").toString();
+   *   BatchPredictionJob response = jobServiceClient.getBatchPredictionJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the BatchPredictionJob resource. Format:
    *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1194,6 +2123,20 @@ public final BatchPredictionJob getBatchPredictionJob(String name) {
   /**
    * Gets a BatchPredictionJob
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   GetBatchPredictionJobRequest request =
+   *       GetBatchPredictionJobRequest.newBuilder()
+   *           .setName(
+   *               BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+   *                   .toString())
+   *           .build();
+   *   BatchPredictionJob response = jobServiceClient.getBatchPredictionJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -1206,6 +2149,21 @@ public final BatchPredictionJob getBatchPredictionJob(GetBatchPredictionJobReque
    * Gets a BatchPredictionJob
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   GetBatchPredictionJobRequest request =
+   *       GetBatchPredictionJobRequest.newBuilder()
+   *           .setName(
+   *               BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<BatchPredictionJob> future =
+   *       jobServiceClient.getBatchPredictionJobCallable().futureCall(request);
+   *   // Do something.
+   *   BatchPredictionJob response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetBatchPredictionJobRequest, BatchPredictionJob>
       getBatchPredictionJobCallable() {
@@ -1216,6 +2174,18 @@ public final BatchPredictionJob getBatchPredictionJob(GetBatchPredictionJobReque
   /**
    * Lists BatchPredictionJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (BatchPredictionJob element :
+   *       jobServiceClient.listBatchPredictionJobs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the BatchPredictionJobs from.
    *     Format: `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1232,6 +2202,18 @@ public final ListBatchPredictionJobsPagedResponse listBatchPredictionJobs(Locati
   /**
    * Lists BatchPredictionJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (BatchPredictionJob element :
+   *       jobServiceClient.listBatchPredictionJobs(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the BatchPredictionJobs from.
    *     Format: `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1246,6 +2228,25 @@ public final ListBatchPredictionJobsPagedResponse listBatchPredictionJobs(String
   /**
    * Lists BatchPredictionJobs in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   ListBatchPredictionJobsRequest request =
+   *       ListBatchPredictionJobsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (BatchPredictionJob element :
+   *       jobServiceClient.listBatchPredictionJobs(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -1259,6 +2260,25 @@ public final ListBatchPredictionJobsPagedResponse listBatchPredictionJobs(
    * Lists BatchPredictionJobs in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   ListBatchPredictionJobsRequest request =
+   *       ListBatchPredictionJobsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<BatchPredictionJob> future =
+   *       jobServiceClient.listBatchPredictionJobsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (BatchPredictionJob element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsPagedResponse>
       listBatchPredictionJobsPagedCallable() {
@@ -1270,6 +2290,24 @@ public final ListBatchPredictionJobsPagedResponse listBatchPredictionJobs(
    * Lists BatchPredictionJobs in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   while (true) {
+   *     ListBatchPredictionJobsResponse response =
+   *         jobServiceClient.listBatchPredictionJobsCallable().call(request);
+   *     for (BatchPredictionJob element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
       listBatchPredictionJobsCallable() {
@@ -1280,6 +2318,16 @@ public final ListBatchPredictionJobsPagedResponse listBatchPredictionJobs(
   /**
    * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   BatchPredictionJobName name =
+   *       BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+   *   jobServiceClient.deleteBatchPredictionJobAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the BatchPredictionJob resource to be deleted. Format:
    *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1297,6 +2345,16 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteBatchPredicti
   /**
    * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]").toString();
+   *   jobServiceClient.deleteBatchPredictionJobAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the BatchPredictionJob resource to be deleted. Format:
    *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1312,6 +2370,20 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteBatchPredicti
   /**
    * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteBatchPredictionJobRequest request =
+   *       DeleteBatchPredictionJobRequest.newBuilder()
+   *           .setName(
+   *               BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+   *                   .toString())
+   *           .build();
+   *   jobServiceClient.deleteBatchPredictionJobAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -1325,6 +2397,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteBatchPredicti
    * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteBatchPredictionJobRequest request =
+   *       DeleteBatchPredictionJobRequest.newBuilder()
+   *           .setName(
+   *               BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+   *                   .toString())
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       jobServiceClient.deleteBatchPredictionJobOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
       deleteBatchPredictionJobOperationCallable() {
@@ -1336,6 +2423,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteBatchPredicti
    * Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   DeleteBatchPredictionJobRequest request =
+   *       DeleteBatchPredictionJobRequest.newBuilder()
+   *           .setName(
+   *               BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       jobServiceClient.deleteBatchPredictionJobCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteBatchPredictionJobRequest, Operation>
       deleteBatchPredictionJobCallable() {
@@ -1355,6 +2457,16 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteBatchPredicti
    * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to
    * `CANCELLED`. Any files already outputted by the job are not deleted.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   BatchPredictionJobName name =
+   *       BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]");
+   *   jobServiceClient.cancelBatchPredictionJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the BatchPredictionJob to cancel. Format:
    *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1380,6 +2492,16 @@ public final void cancelBatchPredictionJob(BatchPredictionJobName name) {
    * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to
    * `CANCELLED`. Any files already outputted by the job are not deleted.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   String name =
+   *       BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]").toString();
+   *   jobServiceClient.cancelBatchPredictionJob(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the BatchPredictionJob to cancel. Format:
    *     <p>`projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -1403,6 +2525,20 @@ public final void cancelBatchPredictionJob(String name) {
    * [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to
    * `CANCELLED`. Any files already outputted by the job are not deleted.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CancelBatchPredictionJobRequest request =
+   *       CancelBatchPredictionJobRequest.newBuilder()
+   *           .setName(
+   *               BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+   *                   .toString())
+   *           .build();
+   *   jobServiceClient.cancelBatchPredictionJob(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -1424,6 +2560,21 @@ public final void cancelBatchPredictionJob(CancelBatchPredictionJobRequest reque
    * `CANCELLED`. Any files already outputted by the job are not deleted.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+   *   CancelBatchPredictionJobRequest request =
+   *       CancelBatchPredictionJobRequest.newBuilder()
+   *           .setName(
+   *               BatchPredictionJobName.of("[PROJECT]", "[LOCATION]", "[BATCH_PREDICTION_JOB]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<Empty> future =
+   *       jobServiceClient.cancelBatchPredictionJobCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CancelBatchPredictionJobRequest, Empty>
       cancelBatchPredictionJobCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
index 5631dc8d4..736f83a56 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
@@ -46,6 +46,16 @@
  * <p>This class provides the ability to make remote calls to the backing service through method
  * calls that map to API methods. Sample code to get started:
  *
+ * <pre>{@code
+ * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+ *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+ *   for (MigratableResource element :
+ *       migrationServiceClient.searchMigratableResources(parent).iterateAll()) {
+ *     // doThingsWith(element);
+ *   }
+ * }
+ * }</pre>
+ *
  * <p>Note: close() needs to be called on the MigrationServiceClient object to clean up resources
  * such as threads. In the example above, try-with-resources is used, which automatically calls
  * close().
@@ -165,6 +175,18 @@ public final OperationsClient getOperationsClient() {
    * Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and
    * ml.googleapis.com that can be migrated to AI Platform's given location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (MigratableResource element :
+   *       migrationServiceClient.searchMigratableResources(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The location that the migratable resources should be searched from.
    *     It's the AI Platform location that the resources can be migrated to, not the resources'
    *     original location. Format: `projects/{project}/locations/{location}`
@@ -184,6 +206,18 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(
    * Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and
    * ml.googleapis.com that can be migrated to AI Platform's given location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (MigratableResource element :
+   *       migrationServiceClient.searchMigratableResources(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The location that the migratable resources should be searched from.
    *     It's the AI Platform location that the resources can be migrated to, not the resources'
    *     original location. Format: `projects/{project}/locations/{location}`
@@ -200,6 +234,24 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(St
    * Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and
    * ml.googleapis.com that can be migrated to AI Platform's given location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   SearchMigratableResourcesRequest request =
+   *       SearchMigratableResourcesRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setFilter("filter-1274492040")
+   *           .build();
+   *   for (MigratableResource element :
+   *       migrationServiceClient.searchMigratableResources(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -214,6 +266,24 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(
    * ml.googleapis.com that can be migrated to AI Platform's given location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   SearchMigratableResourcesRequest request =
+   *       SearchMigratableResourcesRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setFilter("filter-1274492040")
+   *           .build();
+   *   ApiFuture<MigratableResource> future =
+   *       migrationServiceClient.searchMigratableResourcesPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (MigratableResource element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<
           SearchMigratableResourcesRequest, SearchMigratableResourcesPagedResponse>
@@ -227,6 +297,24 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(
    * ml.googleapis.com that can be migrated to AI Platform's given location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   while (true) {
+   *     SearchMigratableResourcesResponse response =
+   *         migrationServiceClient.searchMigratableResourcesCallable().call(request);
+   *     for (MigratableResource element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
       searchMigratableResourcesCallable() {
@@ -238,6 +326,17 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(
    * Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and
    * datalabeling.googleapis.com to AI Platform (Unified).
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   List<MigrateResourceRequest> migrateResourceRequests = new ArrayList<>();
+   *   BatchMigrateResourcesResponse response =
+   *       migrationServiceClient.batchMigrateResourcesAsync(parent, migrateResourceRequests).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The location of the migrated resource will live in. Format:
    *     `projects/{project}/locations/{location}`
    * @param migrateResourceRequests Required. The request messages specifying the resources to
@@ -262,6 +361,17 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(
    * Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and
    * datalabeling.googleapis.com to AI Platform (Unified).
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   List<MigrateResourceRequest> migrateResourceRequests = new ArrayList<>();
+   *   BatchMigrateResourcesResponse response =
+   *       migrationServiceClient.batchMigrateResourcesAsync(parent, migrateResourceRequests).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The location of the migrated resource will live in. Format:
    *     `projects/{project}/locations/{location}`
    * @param migrateResourceRequests Required. The request messages specifying the resources to
@@ -286,6 +396,20 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(
    * Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and
    * datalabeling.googleapis.com to AI Platform (Unified).
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   BatchMigrateResourcesRequest request =
+   *       BatchMigrateResourcesRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .addAllMigrateResourceRequests(new ArrayList<MigrateResourceRequest>())
+   *           .build();
+   *   BatchMigrateResourcesResponse response =
+   *       migrationServiceClient.batchMigrateResourcesAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -301,6 +425,21 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(
    * datalabeling.googleapis.com to AI Platform (Unified).
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   BatchMigrateResourcesRequest request =
+   *       BatchMigrateResourcesRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .addAllMigrateResourceRequests(new ArrayList<MigrateResourceRequest>())
+   *           .build();
+   *   OperationFuture<BatchMigrateResourcesResponse, BatchMigrateResourcesOperationMetadata>
+   *       future =
+   *           migrationServiceClient.batchMigrateResourcesOperationCallable().futureCall(request);
+   *   // Do something.
+   *   BatchMigrateResourcesResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<
           BatchMigrateResourcesRequest,
@@ -316,6 +455,20 @@ public final SearchMigratableResourcesPagedResponse searchMigratableResources(
    * datalabeling.googleapis.com to AI Platform (Unified).
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+   *   BatchMigrateResourcesRequest request =
+   *       BatchMigrateResourcesRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .addAllMigrateResourceRequests(new ArrayList<MigrateResourceRequest>())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       migrationServiceClient.batchMigrateResourcesCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<BatchMigrateResourcesRequest, Operation>
       batchMigrateResourcesCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
index 1011361a2..9cd80ed85 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
@@ -47,6 +47,13 @@
  * <p>This class provides the ability to make remote calls to the backing service through method
  * calls that map to API methods. Sample code to get started:
  *
+ * <pre>{@code
+ * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+ *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+ *   Model response = modelServiceClient.getModel(name);
+ * }
+ * }</pre>
+ *
  * <p>Note: close() needs to be called on the ModelServiceClient object to clean up resources such
  * as threads. In the example above, try-with-resources is used, which automatically calls close().
  *
@@ -161,6 +168,16 @@ public final OperationsClient getOperationsClient() {
   /**
    * Uploads a Model artifact into AI Platform.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   Model model = Model.newBuilder().build();
+   *   UploadModelResponse response = modelServiceClient.uploadModelAsync(parent, model).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location into which to upload the Model.
    *     Format: `projects/{project}/locations/{location}`
    * @param model Required. The Model to create.
@@ -180,6 +197,16 @@ public final OperationFuture<UploadModelResponse, UploadModelOperationMetadata>
   /**
    * Uploads a Model artifact into AI Platform.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   Model model = Model.newBuilder().build();
+   *   UploadModelResponse response = modelServiceClient.uploadModelAsync(parent, model).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location into which to upload the Model.
    *     Format: `projects/{project}/locations/{location}`
    * @param model Required. The Model to create.
@@ -196,6 +223,19 @@ public final OperationFuture<UploadModelResponse, UploadModelOperationMetadata>
   /**
    * Uploads a Model artifact into AI Platform.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   UploadModelRequest request =
+   *       UploadModelRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setModel(Model.newBuilder().build())
+   *           .build();
+   *   UploadModelResponse response = modelServiceClient.uploadModelAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -209,6 +249,20 @@ public final OperationFuture<UploadModelResponse, UploadModelOperationMetadata>
    * Uploads a Model artifact into AI Platform.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   UploadModelRequest request =
+   *       UploadModelRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setModel(Model.newBuilder().build())
+   *           .build();
+   *   OperationFuture<UploadModelResponse, UploadModelOperationMetadata> future =
+   *       modelServiceClient.uploadModelOperationCallable().futureCall(request);
+   *   // Do something.
+   *   UploadModelResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<
           UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
@@ -221,6 +275,19 @@ public final OperationFuture<UploadModelResponse, UploadModelOperationMetadata>
    * Uploads a Model artifact into AI Platform.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   UploadModelRequest request =
+   *       UploadModelRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setModel(Model.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Operation> future = modelServiceClient.uploadModelCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<UploadModelRequest, Operation> uploadModelCallable() {
     return stub.uploadModelCallable();
@@ -230,6 +297,15 @@ public final UnaryCallable<UploadModelRequest, Operation> uploadModelCallable()
   /**
    * Gets a Model.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   Model response = modelServiceClient.getModel(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Model resource. Format:
    *     `projects/{project}/locations/{location}/models/{model}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -244,6 +320,15 @@ public final Model getModel(ModelName name) {
   /**
    * Gets a Model.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
+   *   Model response = modelServiceClient.getModel(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Model resource. Format:
    *     `projects/{project}/locations/{location}/models/{model}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -257,6 +342,18 @@ public final Model getModel(String name) {
   /**
    * Gets a Model.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   GetModelRequest request =
+   *       GetModelRequest.newBuilder()
+   *           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .build();
+   *   Model response = modelServiceClient.getModel(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -269,6 +366,18 @@ public final Model getModel(GetModelRequest request) {
    * Gets a Model.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   GetModelRequest request =
+   *       GetModelRequest.newBuilder()
+   *           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .build();
+   *   ApiFuture<Model> future = modelServiceClient.getModelCallable().futureCall(request);
+   *   // Do something.
+   *   Model response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetModelRequest, Model> getModelCallable() {
     return stub.getModelCallable();
@@ -278,6 +387,17 @@ public final UnaryCallable<GetModelRequest, Model> getModelCallable() {
   /**
    * Lists Models in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (Model element : modelServiceClient.listModels(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the Models from. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -292,6 +412,17 @@ public final ListModelsPagedResponse listModels(LocationName parent) {
   /**
    * Lists Models in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (Model element : modelServiceClient.listModels(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the Models from. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -305,6 +436,24 @@ public final ListModelsPagedResponse listModels(String parent) {
   /**
    * Lists Models in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ListModelsRequest request =
+   *       ListModelsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (Model element : modelServiceClient.listModels(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -317,6 +466,24 @@ public final ListModelsPagedResponse listModels(ListModelsRequest request) {
    * Lists Models in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ListModelsRequest request =
+   *       ListModelsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Model> future = modelServiceClient.listModelsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (Model element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListModelsRequest, ListModelsPagedResponse> listModelsPagedCallable() {
     return stub.listModelsPagedCallable();
@@ -327,6 +494,23 @@ public final UnaryCallable<ListModelsRequest, ListModelsPagedResponse> listModel
    * Lists Models in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   while (true) {
+   *     ListModelsResponse response = modelServiceClient.listModelsCallable().call(request);
+   *     for (Model element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCallable() {
     return stub.listModelsCallable();
@@ -336,6 +520,16 @@ public final UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCall
   /**
    * Updates a Model.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   Model model = Model.newBuilder().build();
+   *   FieldMask updateMask = FieldMask.newBuilder().build();
+   *   Model response = modelServiceClient.updateModel(model, updateMask);
+   * }
+   * }</pre>
+   *
    * @param model Required. The Model which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
    *     definition, see
@@ -353,6 +547,19 @@ public final Model updateModel(Model model, FieldMask updateMask) {
   /**
    * Updates a Model.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   UpdateModelRequest request =
+   *       UpdateModelRequest.newBuilder()
+   *           .setModel(Model.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   Model response = modelServiceClient.updateModel(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -365,6 +572,19 @@ public final Model updateModel(UpdateModelRequest request) {
    * Updates a Model.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   UpdateModelRequest request =
+   *       UpdateModelRequest.newBuilder()
+   *           .setModel(Model.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Model> future = modelServiceClient.updateModelCallable().futureCall(request);
+   *   // Do something.
+   *   Model response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<UpdateModelRequest, Model> updateModelCallable() {
     return stub.updateModelCallable();
@@ -375,6 +595,15 @@ public final UnaryCallable<UpdateModelRequest, Model> updateModelCallable() {
    * Deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from
    * it.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   modelServiceClient.deleteModelAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Model resource to be deleted. Format:
    *     `projects/{project}/locations/{location}/models/{model}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -390,6 +619,15 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteModelAsync(Mo
    * Deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from
    * it.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
+   *   modelServiceClient.deleteModelAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the Model resource to be deleted. Format:
    *     `projects/{project}/locations/{location}/models/{model}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -404,6 +642,18 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteModelAsync(St
    * Deletes a Model. Note: Model can only be deleted if there are no DeployedModels created from
    * it.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   DeleteModelRequest request =
+   *       DeleteModelRequest.newBuilder()
+   *           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .build();
+   *   modelServiceClient.deleteModelAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -418,6 +668,19 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteModelAsync(
    * it.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   DeleteModelRequest request =
+   *       DeleteModelRequest.newBuilder()
+   *           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       modelServiceClient.deleteModelOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<DeleteModelRequest, Empty, DeleteOperationMetadata>
       deleteModelOperationCallable() {
@@ -430,6 +693,18 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteModelAsync(
    * it.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   DeleteModelRequest request =
+   *       DeleteModelRequest.newBuilder()
+   *           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .build();
+   *   ApiFuture<Operation> future = modelServiceClient.deleteModelCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteModelRequest, Operation> deleteModelCallable() {
     return stub.deleteModelCallable();
@@ -441,6 +716,17 @@ public final UnaryCallable<DeleteModelRequest, Operation> deleteModelCallable()
    * to be exportable if it has at least one [supported export
    * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   ExportModelRequest.OutputConfig outputConfig =
+   *       ExportModelRequest.OutputConfig.newBuilder().build();
+   *   ExportModelResponse response = modelServiceClient.exportModelAsync(name, outputConfig).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The resource name of the Model to export. Format:
    *     `projects/{project}/locations/{location}/models/{model}`
    * @param outputConfig Required. The desired output location and configuration.
@@ -462,6 +748,17 @@ public final OperationFuture<ExportModelResponse, ExportModelOperationMetadata>
    * to be exportable if it has at least one [supported export
    * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
+   *   ExportModelRequest.OutputConfig outputConfig =
+   *       ExportModelRequest.OutputConfig.newBuilder().build();
+   *   ExportModelResponse response = modelServiceClient.exportModelAsync(name, outputConfig).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The resource name of the Model to export. Format:
    *     `projects/{project}/locations/{location}/models/{model}`
    * @param outputConfig Required. The desired output location and configuration.
@@ -480,6 +777,19 @@ public final OperationFuture<ExportModelResponse, ExportModelOperationMetadata>
    * to be exportable if it has at least one [supported export
    * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ExportModelRequest request =
+   *       ExportModelRequest.newBuilder()
+   *           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .setOutputConfig(ExportModelRequest.OutputConfig.newBuilder().build())
+   *           .build();
+   *   ExportModelResponse response = modelServiceClient.exportModelAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -495,6 +805,20 @@ public final OperationFuture<ExportModelResponse, ExportModelOperationMetadata>
    * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ExportModelRequest request =
+   *       ExportModelRequest.newBuilder()
+   *           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .setOutputConfig(ExportModelRequest.OutputConfig.newBuilder().build())
+   *           .build();
+   *   OperationFuture<ExportModelResponse, ExportModelOperationMetadata> future =
+   *       modelServiceClient.exportModelOperationCallable().futureCall(request);
+   *   // Do something.
+   *   ExportModelResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<
           ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
@@ -509,6 +833,19 @@ public final OperationFuture<ExportModelResponse, ExportModelOperationMetadata>
    * format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ExportModelRequest request =
+   *       ExportModelRequest.newBuilder()
+   *           .setName(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .setOutputConfig(ExportModelRequest.OutputConfig.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Operation> future = modelServiceClient.exportModelCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ExportModelRequest, Operation> exportModelCallable() {
     return stub.exportModelCallable();
@@ -518,6 +855,16 @@ public final UnaryCallable<ExportModelRequest, Operation> exportModelCallable()
   /**
    * Gets a ModelEvaluation.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ModelEvaluationName name =
+   *       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]");
+   *   ModelEvaluation response = modelServiceClient.getModelEvaluation(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the ModelEvaluation resource. Format:
    *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -534,6 +881,16 @@ public final ModelEvaluation getModelEvaluation(ModelEvaluationName name) {
   /**
    * Gets a ModelEvaluation.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String name =
+   *       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]").toString();
+   *   ModelEvaluation response = modelServiceClient.getModelEvaluation(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the ModelEvaluation resource. Format:
    *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -548,6 +905,20 @@ public final ModelEvaluation getModelEvaluation(String name) {
   /**
    * Gets a ModelEvaluation.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   GetModelEvaluationRequest request =
+   *       GetModelEvaluationRequest.newBuilder()
+   *           .setName(
+   *               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
+   *                   .toString())
+   *           .build();
+   *   ModelEvaluation response = modelServiceClient.getModelEvaluation(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -560,6 +931,21 @@ public final ModelEvaluation getModelEvaluation(GetModelEvaluationRequest reques
    * Gets a ModelEvaluation.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   GetModelEvaluationRequest request =
+   *       GetModelEvaluationRequest.newBuilder()
+   *           .setName(
+   *               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<ModelEvaluation> future =
+   *       modelServiceClient.getModelEvaluationCallable().futureCall(request);
+   *   // Do something.
+   *   ModelEvaluation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetModelEvaluationRequest, ModelEvaluation>
       getModelEvaluationCallable() {
@@ -570,6 +956,17 @@ public final ModelEvaluation getModelEvaluation(GetModelEvaluationRequest reques
   /**
    * Lists ModelEvaluations in a Model.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ModelName parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+   *   for (ModelEvaluation element : modelServiceClient.listModelEvaluations(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Model to list the ModelEvaluations from.
    *     Format: `projects/{project}/locations/{location}/models/{model}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -586,6 +983,17 @@ public final ListModelEvaluationsPagedResponse listModelEvaluations(ModelName pa
   /**
    * Lists ModelEvaluations in a Model.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String parent = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
+   *   for (ModelEvaluation element : modelServiceClient.listModelEvaluations(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Model to list the ModelEvaluations from.
    *     Format: `projects/{project}/locations/{location}/models/{model}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -600,6 +1008,25 @@ public final ListModelEvaluationsPagedResponse listModelEvaluations(String paren
   /**
    * Lists ModelEvaluations in a Model.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ListModelEvaluationsRequest request =
+   *       ListModelEvaluationsRequest.newBuilder()
+   *           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (ModelEvaluation element :
+   *       modelServiceClient.listModelEvaluations(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -613,6 +1040,25 @@ public final ListModelEvaluationsPagedResponse listModelEvaluations(
    * Lists ModelEvaluations in a Model.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ListModelEvaluationsRequest request =
+   *       ListModelEvaluationsRequest.newBuilder()
+   *           .setParent(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<ModelEvaluation> future =
+   *       modelServiceClient.listModelEvaluationsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (ModelEvaluation element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsPagedResponse>
       listModelEvaluationsPagedCallable() {
@@ -624,6 +1070,24 @@ public final ListModelEvaluationsPagedResponse listModelEvaluations(
    * Lists ModelEvaluations in a Model.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   while (true) {
+   *     ListModelEvaluationsResponse response =
+   *         modelServiceClient.listModelEvaluationsCallable().call(request);
+   *     for (ModelEvaluation element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsResponse>
       listModelEvaluationsCallable() {
@@ -634,6 +1098,17 @@ public final ListModelEvaluationsPagedResponse listModelEvaluations(
   /**
    * Gets a ModelEvaluationSlice.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ModelEvaluationSliceName name =
+   *       ModelEvaluationSliceName.of(
+   *           "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]");
+   *   ModelEvaluationSlice response = modelServiceClient.getModelEvaluationSlice(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the ModelEvaluationSlice resource. Format:
    *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -650,6 +1125,18 @@ public final ModelEvaluationSlice getModelEvaluationSlice(ModelEvaluationSliceNa
   /**
    * Gets a ModelEvaluationSlice.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String name =
+   *       ModelEvaluationSliceName.of(
+   *               "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
+   *           .toString();
+   *   ModelEvaluationSlice response = modelServiceClient.getModelEvaluationSlice(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the ModelEvaluationSlice resource. Format:
    *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -664,6 +1151,21 @@ public final ModelEvaluationSlice getModelEvaluationSlice(String name) {
   /**
    * Gets a ModelEvaluationSlice.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   GetModelEvaluationSliceRequest request =
+   *       GetModelEvaluationSliceRequest.newBuilder()
+   *           .setName(
+   *               ModelEvaluationSliceName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
+   *                   .toString())
+   *           .build();
+   *   ModelEvaluationSlice response = modelServiceClient.getModelEvaluationSlice(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -677,6 +1179,22 @@ public final ModelEvaluationSlice getModelEvaluationSlice(
    * Gets a ModelEvaluationSlice.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   GetModelEvaluationSliceRequest request =
+   *       GetModelEvaluationSliceRequest.newBuilder()
+   *           .setName(
+   *               ModelEvaluationSliceName.of(
+   *                       "[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]", "[SLICE]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<ModelEvaluationSlice> future =
+   *       modelServiceClient.getModelEvaluationSliceCallable().futureCall(request);
+   *   // Do something.
+   *   ModelEvaluationSlice response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
       getModelEvaluationSliceCallable() {
@@ -687,6 +1205,19 @@ public final ModelEvaluationSlice getModelEvaluationSlice(
   /**
    * Lists ModelEvaluationSlices in a ModelEvaluation.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ModelEvaluationName parent =
+   *       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]");
+   *   for (ModelEvaluationSlice element :
+   *       modelServiceClient.listModelEvaluationSlices(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the ModelEvaluation to list the
    *     ModelEvaluationSlices from. Format:
    *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
@@ -705,6 +1236,19 @@ public final ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(
   /**
    * Lists ModelEvaluationSlices in a ModelEvaluation.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   String parent =
+   *       ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]").toString();
+   *   for (ModelEvaluationSlice element :
+   *       modelServiceClient.listModelEvaluationSlices(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the ModelEvaluation to list the
    *     ModelEvaluationSlices from. Format:
    *     <p>`projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
@@ -720,6 +1264,27 @@ public final ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(St
   /**
    * Lists ModelEvaluationSlices in a ModelEvaluation.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ListModelEvaluationSlicesRequest request =
+   *       ListModelEvaluationSlicesRequest.newBuilder()
+   *           .setParent(
+   *               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
+   *                   .toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (ModelEvaluationSlice element :
+   *       modelServiceClient.listModelEvaluationSlices(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -733,6 +1298,27 @@ public final ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(
    * Lists ModelEvaluationSlices in a ModelEvaluation.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   ListModelEvaluationSlicesRequest request =
+   *       ListModelEvaluationSlicesRequest.newBuilder()
+   *           .setParent(
+   *               ModelEvaluationName.of("[PROJECT]", "[LOCATION]", "[MODEL]", "[EVALUATION]")
+   *                   .toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<ModelEvaluationSlice> future =
+   *       modelServiceClient.listModelEvaluationSlicesPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (ModelEvaluationSlice element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<
           ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesPagedResponse>
@@ -745,6 +1331,24 @@ public final ListModelEvaluationSlicesPagedResponse listModelEvaluationSlices(
    * Lists ModelEvaluationSlices in a ModelEvaluation.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+   *   while (true) {
+   *     ListModelEvaluationSlicesResponse response =
+   *         modelServiceClient.listModelEvaluationSlicesCallable().call(request);
+   *     for (ModelEvaluationSlice element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
       listModelEvaluationSlicesCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
index a803a8a6a..6e5afd9d9 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
@@ -46,6 +46,15 @@
  * <p>This class provides the ability to make remote calls to the backing service through method
  * calls that map to API methods. Sample code to get started:
  *
+ * <pre>{@code
+ * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+ *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+ *   TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
+ *   TrainingPipeline response =
+ *       pipelineServiceClient.createTrainingPipeline(parent, trainingPipeline);
+ * }
+ * }</pre>
+ *
  * <p>Note: close() needs to be called on the PipelineServiceClient object to clean up resources
  * such as threads. In the example above, try-with-resources is used, which automatically calls
  * close().
@@ -164,6 +173,17 @@ public final OperationsClient getOperationsClient() {
   /**
    * Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
+   *   TrainingPipeline response =
+   *       pipelineServiceClient.createTrainingPipeline(parent, trainingPipeline);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the TrainingPipeline in.
    *     Format: `projects/{project}/locations/{location}`
    * @param trainingPipeline Required. The TrainingPipeline to create.
@@ -183,6 +203,17 @@ public final TrainingPipeline createTrainingPipeline(
   /**
    * Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
+   *   TrainingPipeline response =
+   *       pipelineServiceClient.createTrainingPipeline(parent, trainingPipeline);
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to create the TrainingPipeline in.
    *     Format: `projects/{project}/locations/{location}`
    * @param trainingPipeline Required. The TrainingPipeline to create.
@@ -202,6 +233,19 @@ public final TrainingPipeline createTrainingPipeline(
   /**
    * Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   CreateTrainingPipelineRequest request =
+   *       CreateTrainingPipelineRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setTrainingPipeline(TrainingPipeline.newBuilder().build())
+   *           .build();
+   *   TrainingPipeline response = pipelineServiceClient.createTrainingPipeline(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -214,6 +258,20 @@ public final TrainingPipeline createTrainingPipeline(CreateTrainingPipelineReque
    * Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   CreateTrainingPipelineRequest request =
+   *       CreateTrainingPipelineRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setTrainingPipeline(TrainingPipeline.newBuilder().build())
+   *           .build();
+   *   ApiFuture<TrainingPipeline> future =
+   *       pipelineServiceClient.createTrainingPipelineCallable().futureCall(request);
+   *   // Do something.
+   *   TrainingPipeline response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CreateTrainingPipelineRequest, TrainingPipeline>
       createTrainingPipelineCallable() {
@@ -224,6 +282,16 @@ public final TrainingPipeline createTrainingPipeline(CreateTrainingPipelineReque
   /**
    * Gets a TrainingPipeline.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   TrainingPipelineName name =
+   *       TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+   *   TrainingPipeline response = pipelineServiceClient.getTrainingPipeline(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the TrainingPipeline resource. Format:
    *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -240,6 +308,16 @@ public final TrainingPipeline getTrainingPipeline(TrainingPipelineName name) {
   /**
    * Gets a TrainingPipeline.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   String name =
+   *       TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]").toString();
+   *   TrainingPipeline response = pipelineServiceClient.getTrainingPipeline(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the TrainingPipeline resource. Format:
    *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -254,6 +332,20 @@ public final TrainingPipeline getTrainingPipeline(String name) {
   /**
    * Gets a TrainingPipeline.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   GetTrainingPipelineRequest request =
+   *       GetTrainingPipelineRequest.newBuilder()
+   *           .setName(
+   *               TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+   *                   .toString())
+   *           .build();
+   *   TrainingPipeline response = pipelineServiceClient.getTrainingPipeline(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -266,6 +358,21 @@ public final TrainingPipeline getTrainingPipeline(GetTrainingPipelineRequest req
    * Gets a TrainingPipeline.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   GetTrainingPipelineRequest request =
+   *       GetTrainingPipelineRequest.newBuilder()
+   *           .setName(
+   *               TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<TrainingPipeline> future =
+   *       pipelineServiceClient.getTrainingPipelineCallable().futureCall(request);
+   *   // Do something.
+   *   TrainingPipeline response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetTrainingPipelineRequest, TrainingPipeline>
       getTrainingPipelineCallable() {
@@ -276,6 +383,18 @@ public final TrainingPipeline getTrainingPipeline(GetTrainingPipelineRequest req
   /**
    * Lists TrainingPipelines in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (TrainingPipeline element :
+   *       pipelineServiceClient.listTrainingPipelines(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the TrainingPipelines from.
    *     Format: `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -292,6 +411,18 @@ public final ListTrainingPipelinesPagedResponse listTrainingPipelines(LocationNa
   /**
    * Lists TrainingPipelines in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (TrainingPipeline element :
+   *       pipelineServiceClient.listTrainingPipelines(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The resource name of the Location to list the TrainingPipelines from.
    *     Format: `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -306,6 +437,25 @@ public final ListTrainingPipelinesPagedResponse listTrainingPipelines(String par
   /**
    * Lists TrainingPipelines in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   ListTrainingPipelinesRequest request =
+   *       ListTrainingPipelinesRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (TrainingPipeline element :
+   *       pipelineServiceClient.listTrainingPipelines(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -319,6 +469,25 @@ public final ListTrainingPipelinesPagedResponse listTrainingPipelines(
    * Lists TrainingPipelines in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   ListTrainingPipelinesRequest request =
+   *       ListTrainingPipelinesRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setFilter("filter-1274492040")
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<TrainingPipeline> future =
+   *       pipelineServiceClient.listTrainingPipelinesPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (TrainingPipeline element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesPagedResponse>
       listTrainingPipelinesPagedCallable() {
@@ -330,6 +499,24 @@ public final ListTrainingPipelinesPagedResponse listTrainingPipelines(
    * Lists TrainingPipelines in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   while (true) {
+   *     ListTrainingPipelinesResponse response =
+   *         pipelineServiceClient.listTrainingPipelinesCallable().call(request);
+   *     for (TrainingPipeline element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>
       listTrainingPipelinesCallable() {
@@ -340,6 +527,16 @@ public final ListTrainingPipelinesPagedResponse listTrainingPipelines(
   /**
    * Deletes a TrainingPipeline.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   TrainingPipelineName name =
+   *       TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+   *   pipelineServiceClient.deleteTrainingPipelineAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the TrainingPipeline resource to be deleted. Format:
    *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -357,6 +554,16 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteTrainingPipel
   /**
    * Deletes a TrainingPipeline.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   String name =
+   *       TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]").toString();
+   *   pipelineServiceClient.deleteTrainingPipelineAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the TrainingPipeline resource to be deleted. Format:
    *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -372,6 +579,20 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteTrainingPipel
   /**
    * Deletes a TrainingPipeline.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   DeleteTrainingPipelineRequest request =
+   *       DeleteTrainingPipelineRequest.newBuilder()
+   *           .setName(
+   *               TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+   *                   .toString())
+   *           .build();
+   *   pipelineServiceClient.deleteTrainingPipelineAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -385,6 +606,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteTrainingPipel
    * Deletes a TrainingPipeline.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   DeleteTrainingPipelineRequest request =
+   *       DeleteTrainingPipelineRequest.newBuilder()
+   *           .setName(
+   *               TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+   *                   .toString())
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       pipelineServiceClient.deleteTrainingPipelineOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
       deleteTrainingPipelineOperationCallable() {
@@ -396,6 +632,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteTrainingPipel
    * Deletes a TrainingPipeline.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   DeleteTrainingPipelineRequest request =
+   *       DeleteTrainingPipelineRequest.newBuilder()
+   *           .setName(
+   *               TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       pipelineServiceClient.deleteTrainingPipelineCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteTrainingPipelineRequest, Operation>
       deleteTrainingPipelineCallable() {
@@ -416,6 +667,16 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteTrainingPipel
    * [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
    * `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   TrainingPipelineName name =
+   *       TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]");
+   *   pipelineServiceClient.cancelTrainingPipeline(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the TrainingPipeline to cancel. Format:
    *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -442,6 +703,16 @@ public final void cancelTrainingPipeline(TrainingPipelineName name) {
    * [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
    * `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   String name =
+   *       TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]").toString();
+   *   pipelineServiceClient.cancelTrainingPipeline(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the TrainingPipeline to cancel. Format:
    *     <p>`projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -466,6 +737,20 @@ public final void cancelTrainingPipeline(String name) {
    * [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
    * `CANCELLED`.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   CancelTrainingPipelineRequest request =
+   *       CancelTrainingPipelineRequest.newBuilder()
+   *           .setName(
+   *               TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+   *                   .toString())
+   *           .build();
+   *   pipelineServiceClient.cancelTrainingPipeline(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -488,6 +773,21 @@ public final void cancelTrainingPipeline(CancelTrainingPipelineRequest request)
    * `CANCELLED`.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+   *   CancelTrainingPipelineRequest request =
+   *       CancelTrainingPipelineRequest.newBuilder()
+   *           .setName(
+   *               TrainingPipelineName.of("[PROJECT]", "[LOCATION]", "[TRAINING_PIPELINE]")
+   *                   .toString())
+   *           .build();
+   *   ApiFuture<Empty> future =
+   *       pipelineServiceClient.cancelTrainingPipelineCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CancelTrainingPipelineRequest, Empty>
       cancelTrainingPipelineCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
index 88ead5820..2ed582342 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
@@ -34,6 +34,15 @@
  * <p>This class provides the ability to make remote calls to the backing service through method
  * calls that map to API methods. Sample code to get started:
  *
+ * <pre>{@code
+ * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+ *   EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+ *   List<Value> instances = new ArrayList<>();
+ *   Value parameters = Value.newBuilder().build();
+ *   PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
+ * }
+ * }</pre>
+ *
  * <p>Note: close() needs to be called on the PredictionServiceClient object to clean up resources
  * such as threads. In the example above, try-with-resources is used, which automatically calls
  * close().
@@ -141,6 +150,17 @@ public PredictionServiceStub getStub() {
   /**
    * Perform an online prediction.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+   *   List<Value> instances = new ArrayList<>();
+   *   Value parameters = Value.newBuilder().build();
+   *   PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The name of the Endpoint requested to serve the prediction. Format:
    *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @param instances Required. The instances that are the input to the prediction call. A
@@ -173,6 +193,17 @@ public final PredictResponse predict(
   /**
    * Perform an online prediction.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   String endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString();
+   *   List<Value> instances = new ArrayList<>();
+   *   Value parameters = Value.newBuilder().build();
+   *   PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The name of the Endpoint requested to serve the prediction. Format:
    *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @param instances Required. The instances that are the input to the prediction call. A
@@ -204,6 +235,20 @@ public final PredictResponse predict(String endpoint, List<Value> instances, Val
   /**
    * Perform an online prediction.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   PredictRequest request =
+   *       PredictRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .addAllInstances(new ArrayList<Value>())
+   *           .setParameters(Value.newBuilder().build())
+   *           .build();
+   *   PredictResponse response = predictionServiceClient.predict(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -216,6 +261,21 @@ public final PredictResponse predict(PredictRequest request) {
    * Perform an online prediction.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   PredictRequest request =
+   *       PredictRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .addAllInstances(new ArrayList<Value>())
+   *           .setParameters(Value.newBuilder().build())
+   *           .build();
+   *   ApiFuture<PredictResponse> future =
+   *       predictionServiceClient.predictCallable().futureCall(request);
+   *   // Do something.
+   *   PredictResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
     return stub.predictCallable();
@@ -233,6 +293,19 @@ public final UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] populated.
    * Only deployed AutoML tabular Models have explanation_spec.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+   *   List<Value> instances = new ArrayList<>();
+   *   Value parameters = Value.newBuilder().build();
+   *   String deployedModelId = "deployedModelId-1817547906";
+   *   ExplainResponse response =
+   *       predictionServiceClient.explain(endpoint, instances, parameters, deployedModelId);
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The name of the Endpoint requested to serve the explanation. Format:
    *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @param instances Required. The instances that are the input to the explanation call. A
@@ -277,6 +350,19 @@ public final ExplainResponse explain(
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] populated.
    * Only deployed AutoML tabular Models have explanation_spec.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   String endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString();
+   *   List<Value> instances = new ArrayList<>();
+   *   Value parameters = Value.newBuilder().build();
+   *   String deployedModelId = "deployedModelId-1817547906";
+   *   ExplainResponse response =
+   *       predictionServiceClient.explain(endpoint, instances, parameters, deployedModelId);
+   * }
+   * }</pre>
+   *
    * @param endpoint Required. The name of the Endpoint requested to serve the explanation. Format:
    *     `projects/{project}/locations/{location}/endpoints/{endpoint}`
    * @param instances Required. The instances that are the input to the explanation call. A
@@ -321,6 +407,22 @@ public final ExplainResponse explain(
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] populated.
    * Only deployed AutoML tabular Models have explanation_spec.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ExplainRequest request =
+   *       ExplainRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .addAllInstances(new ArrayList<Value>())
+   *           .setParameters(Value.newBuilder().build())
+   *           .setExplanationSpecOverride(ExplanationSpecOverride.newBuilder().build())
+   *           .setDeployedModelId("deployedModelId-1817547906")
+   *           .build();
+   *   ExplainResponse response = predictionServiceClient.explain(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -341,6 +443,23 @@ public final ExplainResponse explain(ExplainRequest request) {
    * Only deployed AutoML tabular Models have explanation_spec.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+   *   ExplainRequest request =
+   *       ExplainRequest.newBuilder()
+   *           .setEndpoint(EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString())
+   *           .addAllInstances(new ArrayList<Value>())
+   *           .setParameters(Value.newBuilder().build())
+   *           .setExplanationSpecOverride(ExplanationSpecOverride.newBuilder().build())
+   *           .setDeployedModelId("deployedModelId-1817547906")
+   *           .build();
+   *   ApiFuture<ExplainResponse> future =
+   *       predictionServiceClient.explainCallable().futureCall(request);
+   *   // Do something.
+   *   ExplainResponse response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ExplainRequest, ExplainResponse> explainCallable() {
     return stub.explainCallable();
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
index 8723b96b1..5e04a15ba 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
@@ -51,6 +51,15 @@
  * <p>This class provides the ability to make remote calls to the backing service through method
  * calls that map to API methods. Sample code to get started:
  *
+ * <pre>{@code
+ * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+ *     SpecialistPoolServiceClient.create()) {
+ *   SpecialistPoolName name =
+ *       SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
+ *   SpecialistPool response = specialistPoolServiceClient.getSpecialistPool(name);
+ * }
+ * }</pre>
+ *
  * <p>Note: close() needs to be called on the SpecialistPoolServiceClient object to clean up
  * resources such as threads. In the example above, try-with-resources is used, which automatically
  * calls close().
@@ -169,6 +178,18 @@ public final OperationsClient getOperationsClient() {
   /**
    * Creates a SpecialistPool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+   *   SpecialistPool response =
+   *       specialistPoolServiceClient.createSpecialistPoolAsync(parent, specialistPool).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The parent Project name for the new SpecialistPool. The form is
    *     `projects/{project}/locations/{location}`.
    * @param specialistPool Required. The SpecialistPool to create.
@@ -188,6 +209,18 @@ public final OperationsClient getOperationsClient() {
   /**
    * Creates a SpecialistPool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+   *   SpecialistPool response =
+   *       specialistPoolServiceClient.createSpecialistPoolAsync(parent, specialistPool).get();
+   * }
+   * }</pre>
+   *
    * @param parent Required. The parent Project name for the new SpecialistPool. The form is
    *     `projects/{project}/locations/{location}`.
    * @param specialistPool Required. The SpecialistPool to create.
@@ -207,6 +240,21 @@ public final OperationsClient getOperationsClient() {
   /**
    * Creates a SpecialistPool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   CreateSpecialistPoolRequest request =
+   *       CreateSpecialistPoolRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setSpecialistPool(SpecialistPool.newBuilder().build())
+   *           .build();
+   *   SpecialistPool response =
+   *       specialistPoolServiceClient.createSpecialistPoolAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -220,6 +268,21 @@ public final OperationsClient getOperationsClient() {
    * Creates a SpecialistPool.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   CreateSpecialistPoolRequest request =
+   *       CreateSpecialistPoolRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setSpecialistPool(SpecialistPool.newBuilder().build())
+   *           .build();
+   *   OperationFuture<SpecialistPool, CreateSpecialistPoolOperationMetadata> future =
+   *       specialistPoolServiceClient.createSpecialistPoolOperationCallable().futureCall(request);
+   *   // Do something.
+   *   SpecialistPool response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<
           CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
@@ -232,6 +295,21 @@ public final OperationsClient getOperationsClient() {
    * Creates a SpecialistPool.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   CreateSpecialistPoolRequest request =
+   *       CreateSpecialistPoolRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setSpecialistPool(SpecialistPool.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       specialistPoolServiceClient.createSpecialistPoolCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<CreateSpecialistPoolRequest, Operation>
       createSpecialistPoolCallable() {
@@ -242,6 +320,17 @@ public final OperationsClient getOperationsClient() {
   /**
    * Gets a SpecialistPool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   SpecialistPoolName name =
+   *       SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
+   *   SpecialistPool response = specialistPoolServiceClient.getSpecialistPool(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the SpecialistPool resource. The form is
    *     <p>`projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -258,6 +347,17 @@ public final SpecialistPool getSpecialistPool(SpecialistPoolName name) {
   /**
    * Gets a SpecialistPool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   String name =
+   *       SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString();
+   *   SpecialistPool response = specialistPoolServiceClient.getSpecialistPool(name);
+   * }
+   * }</pre>
+   *
    * @param name Required. The name of the SpecialistPool resource. The form is
    *     <p>`projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -271,6 +371,20 @@ public final SpecialistPool getSpecialistPool(String name) {
   /**
    * Gets a SpecialistPool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   GetSpecialistPoolRequest request =
+   *       GetSpecialistPoolRequest.newBuilder()
+   *           .setName(
+   *               SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+   *           .build();
+   *   SpecialistPool response = specialistPoolServiceClient.getSpecialistPool(request);
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -283,6 +397,21 @@ public final SpecialistPool getSpecialistPool(GetSpecialistPoolRequest request)
    * Gets a SpecialistPool.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   GetSpecialistPoolRequest request =
+   *       GetSpecialistPoolRequest.newBuilder()
+   *           .setName(
+   *               SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+   *           .build();
+   *   ApiFuture<SpecialistPool> future =
+   *       specialistPoolServiceClient.getSpecialistPoolCallable().futureCall(request);
+   *   // Do something.
+   *   SpecialistPool response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolCallable() {
     return stub.getSpecialistPoolCallable();
@@ -292,6 +421,19 @@ public final UnaryCallable<GetSpecialistPoolRequest, SpecialistPool> getSpeciali
   /**
    * Lists SpecialistPools in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+   *   for (SpecialistPool element :
+   *       specialistPoolServiceClient.listSpecialistPools(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The name of the SpecialistPool's parent resource. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -308,6 +450,19 @@ public final ListSpecialistPoolsPagedResponse listSpecialistPools(LocationName p
   /**
    * Lists SpecialistPools in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
+   *   for (SpecialistPool element :
+   *       specialistPoolServiceClient.listSpecialistPools(parent).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param parent Required. The name of the SpecialistPool's parent resource. Format:
    *     `projects/{project}/locations/{location}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -322,6 +477,25 @@ public final ListSpecialistPoolsPagedResponse listSpecialistPools(String parent)
   /**
    * Lists SpecialistPools in a Location.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   ListSpecialistPoolsRequest request =
+   *       ListSpecialistPoolsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   for (SpecialistPool element :
+   *       specialistPoolServiceClient.listSpecialistPools(request).iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -335,6 +509,25 @@ public final ListSpecialistPoolsPagedResponse listSpecialistPools(
    * Lists SpecialistPools in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   ListSpecialistPoolsRequest request =
+   *       ListSpecialistPoolsRequest.newBuilder()
+   *           .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
+   *           .setPageSize(883849137)
+   *           .setPageToken("pageToken873572522")
+   *           .setReadMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<SpecialistPool> future =
+   *       specialistPoolServiceClient.listSpecialistPoolsPagedCallable().futureCall(request);
+   *   // Do something.
+   *   for (SpecialistPool element : future.get().iterateAll()) {
+   *     // doThingsWith(element);
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsPagedResponse>
       listSpecialistPoolsPagedCallable() {
@@ -346,6 +539,25 @@ public final ListSpecialistPoolsPagedResponse listSpecialistPools(
    * Lists SpecialistPools in a Location.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   while (true) {
+   *     ListSpecialistPoolsResponse response =
+   *         specialistPoolServiceClient.listSpecialistPoolsCallable().call(request);
+   *     for (SpecialistPool element : response.getResponsesList()) {
+   *       // doThingsWith(element);
+   *     }
+   *     String nextPageToken = response.getNextPageToken();
+   *     if (!Strings.isNullOrEmpty(nextPageToken)) {
+   *       request = request.toBuilder().setPageToken(nextPageToken).build();
+   *     } else {
+   *       break;
+   *     }
+   *   }
+   * }
+   * }</pre>
    */
   public final UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>
       listSpecialistPoolsCallable() {
@@ -356,6 +568,17 @@ public final ListSpecialistPoolsPagedResponse listSpecialistPools(
   /**
    * Deletes a SpecialistPool as well as all Specialists in the pool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   SpecialistPoolName name =
+   *       SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
+   *   specialistPoolServiceClient.deleteSpecialistPoolAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The resource name of the SpecialistPool to delete. Format:
    *     `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -373,6 +596,17 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoo
   /**
    * Deletes a SpecialistPool as well as all Specialists in the pool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   String name =
+   *       SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString();
+   *   specialistPoolServiceClient.deleteSpecialistPoolAsync(name).get();
+   * }
+   * }</pre>
+   *
    * @param name Required. The resource name of the SpecialistPool to delete. Format:
    *     `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -388,6 +622,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoo
   /**
    * Deletes a SpecialistPool as well as all Specialists in the pool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   DeleteSpecialistPoolRequest request =
+   *       DeleteSpecialistPoolRequest.newBuilder()
+   *           .setName(
+   *               SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+   *           .setForce(true)
+   *           .build();
+   *   specialistPoolServiceClient.deleteSpecialistPoolAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -401,6 +650,22 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoo
    * Deletes a SpecialistPool as well as all Specialists in the pool.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   DeleteSpecialistPoolRequest request =
+   *       DeleteSpecialistPoolRequest.newBuilder()
+   *           .setName(
+   *               SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+   *           .setForce(true)
+   *           .build();
+   *   OperationFuture<Empty, DeleteOperationMetadata> future =
+   *       specialistPoolServiceClient.deleteSpecialistPoolOperationCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
       deleteSpecialistPoolOperationCallable() {
@@ -412,6 +677,22 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoo
    * Deletes a SpecialistPool as well as all Specialists in the pool.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   DeleteSpecialistPoolRequest request =
+   *       DeleteSpecialistPoolRequest.newBuilder()
+   *           .setName(
+   *               SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]").toString())
+   *           .setForce(true)
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       specialistPoolServiceClient.deleteSpecialistPoolCallable().futureCall(request);
+   *   // Do something.
+   *   future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<DeleteSpecialistPoolRequest, Operation>
       deleteSpecialistPoolCallable() {
@@ -422,6 +703,18 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoo
   /**
    * Updates a SpecialistPool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   SpecialistPool specialistPool = SpecialistPool.newBuilder().build();
+   *   FieldMask updateMask = FieldMask.newBuilder().build();
+   *   SpecialistPool response =
+   *       specialistPoolServiceClient.updateSpecialistPoolAsync(specialistPool, updateMask).get();
+   * }
+   * }</pre>
+   *
    * @param specialistPool Required. The SpecialistPool which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
@@ -440,6 +733,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoo
   /**
    * Updates a SpecialistPool.
    *
+   * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   UpdateSpecialistPoolRequest request =
+   *       UpdateSpecialistPoolRequest.newBuilder()
+   *           .setSpecialistPool(SpecialistPool.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   SpecialistPool response =
+   *       specialistPoolServiceClient.updateSpecialistPoolAsync(request).get();
+   * }
+   * }</pre>
+   *
    * @param request The request object containing all of the parameters for the API call.
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
@@ -453,6 +761,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoo
    * Updates a SpecialistPool.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   UpdateSpecialistPoolRequest request =
+   *       UpdateSpecialistPoolRequest.newBuilder()
+   *           .setSpecialistPool(SpecialistPool.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   OperationFuture<SpecialistPool, UpdateSpecialistPoolOperationMetadata> future =
+   *       specialistPoolServiceClient.updateSpecialistPoolOperationCallable().futureCall(request);
+   *   // Do something.
+   *   SpecialistPool response = future.get();
+   * }
+   * }</pre>
    */
   public final OperationCallable<
           UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
@@ -465,6 +788,21 @@ public final OperationFuture<Empty, DeleteOperationMetadata> deleteSpecialistPoo
    * Updates a SpecialistPool.
    *
    * <p>Sample code:
+   *
+   * <pre>{@code
+   * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+   *     SpecialistPoolServiceClient.create()) {
+   *   UpdateSpecialistPoolRequest request =
+   *       UpdateSpecialistPoolRequest.newBuilder()
+   *           .setSpecialistPool(SpecialistPool.newBuilder().build())
+   *           .setUpdateMask(FieldMask.newBuilder().build())
+   *           .build();
+   *   ApiFuture<Operation> future =
+   *       specialistPoolServiceClient.updateSpecialistPoolCallable().futureCall(request);
+   *   // Do something.
+   *   Operation response = future.get();
+   * }
+   * }</pre>
    */
   public final UnaryCallable<UpdateSpecialistPoolRequest, Operation>
       updateSpecialistPoolCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/package-info.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/package-info.java
index ffe5559e2..03c35f17b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/package-info.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/package-info.java
@@ -21,16 +21,38 @@
  *
  * <p>Sample for DatasetServiceClient:
  *
+ * <pre>{@code
+ * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {
+ *   DatasetName name = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
+ *   Dataset response = datasetServiceClient.getDataset(name);
+ * }
+ * }</pre>
+ *
  * <p>======================= EndpointServiceClient =======================
  *
  * <p>Sample for EndpointServiceClient:
  *
+ * <pre>{@code
+ * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {
+ *   EndpointName name = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+ *   Endpoint response = endpointServiceClient.getEndpoint(name);
+ * }
+ * }</pre>
+ *
  * <p>======================= JobServiceClient =======================
  *
  * <p>Service Description: A service for creating and managing AI Platform's jobs.
  *
  * <p>Sample for JobServiceClient:
  *
+ * <pre>{@code
+ * try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
+ *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+ *   CustomJob customJob = CustomJob.newBuilder().build();
+ *   CustomJob response = jobServiceClient.createCustomJob(parent, customJob);
+ * }
+ * }</pre>
+ *
  * <p>======================= MigrationServiceClient =======================
  *
  * <p>Service Description: A service that migrates resources from automl.googleapis.com,
@@ -38,24 +60,59 @@
  *
  * <p>Sample for MigrationServiceClient:
  *
+ * <pre>{@code
+ * try (MigrationServiceClient migrationServiceClient = MigrationServiceClient.create()) {
+ *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+ *   for (MigratableResource element :
+ *       migrationServiceClient.searchMigratableResources(parent).iterateAll()) {
+ *     // doThingsWith(element);
+ *   }
+ * }
+ * }</pre>
+ *
  * <p>======================= ModelServiceClient =======================
  *
  * <p>Service Description: A service for managing AI Platform's machine learning Models.
  *
  * <p>Sample for ModelServiceClient:
  *
+ * <pre>{@code
+ * try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
+ *   ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
+ *   Model response = modelServiceClient.getModel(name);
+ * }
+ * }</pre>
+ *
  * <p>======================= PipelineServiceClient =======================
  *
  * <p>Service Description: A service for creating and managing AI Platform's pipelines.
  *
  * <p>Sample for PipelineServiceClient:
  *
+ * <pre>{@code
+ * try (PipelineServiceClient pipelineServiceClient = PipelineServiceClient.create()) {
+ *   LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
+ *   TrainingPipeline trainingPipeline = TrainingPipeline.newBuilder().build();
+ *   TrainingPipeline response =
+ *       pipelineServiceClient.createTrainingPipeline(parent, trainingPipeline);
+ * }
+ * }</pre>
+ *
  * <p>======================= PredictionServiceClient =======================
  *
  * <p>Service Description: A service for online predictions and explanations.
  *
  * <p>Sample for PredictionServiceClient:
  *
+ * <pre>{@code
+ * try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
+ *   EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
+ *   List<Value> instances = new ArrayList<>();
+ *   Value parameters = Value.newBuilder().build();
+ *   PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
+ * }
+ * }</pre>
+ *
  * <p>======================= SpecialistPoolServiceClient =======================
  *
  * <p>Service Description: A service for creating and managing Customer SpecialistPools. When
@@ -65,6 +122,15 @@
  * CrowdCompute console.
  *
  * <p>Sample for SpecialistPoolServiceClient:
+ *
+ * <pre>{@code
+ * try (SpecialistPoolServiceClient specialistPoolServiceClient =
+ *     SpecialistPoolServiceClient.create()) {
+ *   SpecialistPoolName name =
+ *       SpecialistPoolName.of("[PROJECT]", "[LOCATION]", "[SPECIALIST_POOL]");
+ *   SpecialistPool response = specialistPoolServiceClient.getSpecialistPool(name);
+ * }
+ * }</pre>
  */
 @Generated("by gapic-generator-java")
 package com.google.cloud.aiplatform.v1beta1;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
index df5240454..4ad34026c 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
@@ -442,75 +442,92 @@ public GrpcOperationsStub getOperationsStub() {
     return operationsStub;
   }
 
+  @Override
   public UnaryCallable<CreateDatasetRequest, Operation> createDatasetCallable() {
     return createDatasetCallable;
   }
 
+  @Override
   public OperationCallable<CreateDatasetRequest, Dataset, CreateDatasetOperationMetadata>
       createDatasetOperationCallable() {
     return createDatasetOperationCallable;
   }
 
+  @Override
   public UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
     return getDatasetCallable;
   }
 
+  @Override
   public UnaryCallable<UpdateDatasetRequest, Dataset> updateDatasetCallable() {
     return updateDatasetCallable;
   }
 
+  @Override
   public UnaryCallable<ListDatasetsRequest, ListDatasetsResponse> listDatasetsCallable() {
     return listDatasetsCallable;
   }
 
+  @Override
   public UnaryCallable<ListDatasetsRequest, ListDatasetsPagedResponse> listDatasetsPagedCallable() {
     return listDatasetsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteDatasetRequest, Operation> deleteDatasetCallable() {
     return deleteDatasetCallable;
   }
 
+  @Override
   public OperationCallable<DeleteDatasetRequest, Empty, DeleteOperationMetadata>
       deleteDatasetOperationCallable() {
     return deleteDatasetOperationCallable;
   }
 
+  @Override
   public UnaryCallable<ImportDataRequest, Operation> importDataCallable() {
     return importDataCallable;
   }
 
+  @Override
   public OperationCallable<ImportDataRequest, ImportDataResponse, ImportDataOperationMetadata>
       importDataOperationCallable() {
     return importDataOperationCallable;
   }
 
+  @Override
   public UnaryCallable<ExportDataRequest, Operation> exportDataCallable() {
     return exportDataCallable;
   }
 
+  @Override
   public OperationCallable<ExportDataRequest, ExportDataResponse, ExportDataOperationMetadata>
       exportDataOperationCallable() {
     return exportDataOperationCallable;
   }
 
+  @Override
   public UnaryCallable<ListDataItemsRequest, ListDataItemsResponse> listDataItemsCallable() {
     return listDataItemsCallable;
   }
 
+  @Override
   public UnaryCallable<ListDataItemsRequest, ListDataItemsPagedResponse>
       listDataItemsPagedCallable() {
     return listDataItemsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<GetAnnotationSpecRequest, AnnotationSpec> getAnnotationSpecCallable() {
     return getAnnotationSpecCallable;
   }
 
+  @Override
   public UnaryCallable<ListAnnotationsRequest, ListAnnotationsResponse> listAnnotationsCallable() {
     return listAnnotationsCallable;
   }
 
+  @Override
   public UnaryCallable<ListAnnotationsRequest, ListAnnotationsPagedResponse>
       listAnnotationsPagedCallable() {
     return listAnnotationsPagedCallable;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
index ba20e502a..b47c67867 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
@@ -340,54 +340,66 @@ public GrpcOperationsStub getOperationsStub() {
     return operationsStub;
   }
 
+  @Override
   public UnaryCallable<CreateEndpointRequest, Operation> createEndpointCallable() {
     return createEndpointCallable;
   }
 
+  @Override
   public OperationCallable<CreateEndpointRequest, Endpoint, CreateEndpointOperationMetadata>
       createEndpointOperationCallable() {
     return createEndpointOperationCallable;
   }
 
+  @Override
   public UnaryCallable<GetEndpointRequest, Endpoint> getEndpointCallable() {
     return getEndpointCallable;
   }
 
+  @Override
   public UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndpointsCallable() {
     return listEndpointsCallable;
   }
 
+  @Override
   public UnaryCallable<ListEndpointsRequest, ListEndpointsPagedResponse>
       listEndpointsPagedCallable() {
     return listEndpointsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<UpdateEndpointRequest, Endpoint> updateEndpointCallable() {
     return updateEndpointCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteEndpointRequest, Operation> deleteEndpointCallable() {
     return deleteEndpointCallable;
   }
 
+  @Override
   public OperationCallable<DeleteEndpointRequest, Empty, DeleteOperationMetadata>
       deleteEndpointOperationCallable() {
     return deleteEndpointOperationCallable;
   }
 
+  @Override
   public UnaryCallable<DeployModelRequest, Operation> deployModelCallable() {
     return deployModelCallable;
   }
 
+  @Override
   public OperationCallable<DeployModelRequest, DeployModelResponse, DeployModelOperationMetadata>
       deployModelOperationCallable() {
     return deployModelOperationCallable;
   }
 
+  @Override
   public UnaryCallable<UndeployModelRequest, Operation> undeployModelCallable() {
     return undeployModelCallable;
   }
 
+  @Override
   public OperationCallable<
           UndeployModelRequest, UndeployModelResponse, UndeployModelOperationMetadata>
       undeployModelOperationCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
index 472f4ccd2..867fd331a 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
@@ -821,134 +821,162 @@ public GrpcOperationsStub getOperationsStub() {
     return operationsStub;
   }
 
+  @Override
   public UnaryCallable<CreateCustomJobRequest, CustomJob> createCustomJobCallable() {
     return createCustomJobCallable;
   }
 
+  @Override
   public UnaryCallable<GetCustomJobRequest, CustomJob> getCustomJobCallable() {
     return getCustomJobCallable;
   }
 
+  @Override
   public UnaryCallable<ListCustomJobsRequest, ListCustomJobsResponse> listCustomJobsCallable() {
     return listCustomJobsCallable;
   }
 
+  @Override
   public UnaryCallable<ListCustomJobsRequest, ListCustomJobsPagedResponse>
       listCustomJobsPagedCallable() {
     return listCustomJobsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteCustomJobRequest, Operation> deleteCustomJobCallable() {
     return deleteCustomJobCallable;
   }
 
+  @Override
   public OperationCallable<DeleteCustomJobRequest, Empty, DeleteOperationMetadata>
       deleteCustomJobOperationCallable() {
     return deleteCustomJobOperationCallable;
   }
 
+  @Override
   public UnaryCallable<CancelCustomJobRequest, Empty> cancelCustomJobCallable() {
     return cancelCustomJobCallable;
   }
 
+  @Override
   public UnaryCallable<CreateDataLabelingJobRequest, DataLabelingJob>
       createDataLabelingJobCallable() {
     return createDataLabelingJobCallable;
   }
 
+  @Override
   public UnaryCallable<GetDataLabelingJobRequest, DataLabelingJob> getDataLabelingJobCallable() {
     return getDataLabelingJobCallable;
   }
 
+  @Override
   public UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsResponse>
       listDataLabelingJobsCallable() {
     return listDataLabelingJobsCallable;
   }
 
+  @Override
   public UnaryCallable<ListDataLabelingJobsRequest, ListDataLabelingJobsPagedResponse>
       listDataLabelingJobsPagedCallable() {
     return listDataLabelingJobsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteDataLabelingJobRequest, Operation> deleteDataLabelingJobCallable() {
     return deleteDataLabelingJobCallable;
   }
 
+  @Override
   public OperationCallable<DeleteDataLabelingJobRequest, Empty, DeleteOperationMetadata>
       deleteDataLabelingJobOperationCallable() {
     return deleteDataLabelingJobOperationCallable;
   }
 
+  @Override
   public UnaryCallable<CancelDataLabelingJobRequest, Empty> cancelDataLabelingJobCallable() {
     return cancelDataLabelingJobCallable;
   }
 
+  @Override
   public UnaryCallable<CreateHyperparameterTuningJobRequest, HyperparameterTuningJob>
       createHyperparameterTuningJobCallable() {
     return createHyperparameterTuningJobCallable;
   }
 
+  @Override
   public UnaryCallable<GetHyperparameterTuningJobRequest, HyperparameterTuningJob>
       getHyperparameterTuningJobCallable() {
     return getHyperparameterTuningJobCallable;
   }
 
+  @Override
   public UnaryCallable<ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsResponse>
       listHyperparameterTuningJobsCallable() {
     return listHyperparameterTuningJobsCallable;
   }
 
+  @Override
   public UnaryCallable<
           ListHyperparameterTuningJobsRequest, ListHyperparameterTuningJobsPagedResponse>
       listHyperparameterTuningJobsPagedCallable() {
     return listHyperparameterTuningJobsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteHyperparameterTuningJobRequest, Operation>
       deleteHyperparameterTuningJobCallable() {
     return deleteHyperparameterTuningJobCallable;
   }
 
+  @Override
   public OperationCallable<DeleteHyperparameterTuningJobRequest, Empty, DeleteOperationMetadata>
       deleteHyperparameterTuningJobOperationCallable() {
     return deleteHyperparameterTuningJobOperationCallable;
   }
 
+  @Override
   public UnaryCallable<CancelHyperparameterTuningJobRequest, Empty>
       cancelHyperparameterTuningJobCallable() {
     return cancelHyperparameterTuningJobCallable;
   }
 
+  @Override
   public UnaryCallable<CreateBatchPredictionJobRequest, BatchPredictionJob>
       createBatchPredictionJobCallable() {
     return createBatchPredictionJobCallable;
   }
 
+  @Override
   public UnaryCallable<GetBatchPredictionJobRequest, BatchPredictionJob>
       getBatchPredictionJobCallable() {
     return getBatchPredictionJobCallable;
   }
 
+  @Override
   public UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsResponse>
       listBatchPredictionJobsCallable() {
     return listBatchPredictionJobsCallable;
   }
 
+  @Override
   public UnaryCallable<ListBatchPredictionJobsRequest, ListBatchPredictionJobsPagedResponse>
       listBatchPredictionJobsPagedCallable() {
     return listBatchPredictionJobsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteBatchPredictionJobRequest, Operation>
       deleteBatchPredictionJobCallable() {
     return deleteBatchPredictionJobCallable;
   }
 
+  @Override
   public OperationCallable<DeleteBatchPredictionJobRequest, Empty, DeleteOperationMetadata>
       deleteBatchPredictionJobOperationCallable() {
     return deleteBatchPredictionJobOperationCallable;
   }
 
+  @Override
   public UnaryCallable<CancelBatchPredictionJobRequest, Empty> cancelBatchPredictionJobCallable() {
     return cancelBatchPredictionJobCallable;
   }
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
index 4fcb60e3f..f70ed800b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
@@ -191,20 +191,24 @@ public GrpcOperationsStub getOperationsStub() {
     return operationsStub;
   }
 
+  @Override
   public UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesResponse>
       searchMigratableResourcesCallable() {
     return searchMigratableResourcesCallable;
   }
 
+  @Override
   public UnaryCallable<SearchMigratableResourcesRequest, SearchMigratableResourcesPagedResponse>
       searchMigratableResourcesPagedCallable() {
     return searchMigratableResourcesPagedCallable;
   }
 
+  @Override
   public UnaryCallable<BatchMigrateResourcesRequest, Operation> batchMigrateResourcesCallable() {
     return batchMigrateResourcesCallable;
   }
 
+  @Override
   public OperationCallable<
           BatchMigrateResourcesRequest,
           BatchMigrateResourcesResponse,
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
index 5684f69a2..69d8b1d13 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
@@ -450,73 +450,89 @@ public GrpcOperationsStub getOperationsStub() {
     return operationsStub;
   }
 
+  @Override
   public UnaryCallable<UploadModelRequest, Operation> uploadModelCallable() {
     return uploadModelCallable;
   }
 
+  @Override
   public OperationCallable<UploadModelRequest, UploadModelResponse, UploadModelOperationMetadata>
       uploadModelOperationCallable() {
     return uploadModelOperationCallable;
   }
 
+  @Override
   public UnaryCallable<GetModelRequest, Model> getModelCallable() {
     return getModelCallable;
   }
 
+  @Override
   public UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCallable() {
     return listModelsCallable;
   }
 
+  @Override
   public UnaryCallable<ListModelsRequest, ListModelsPagedResponse> listModelsPagedCallable() {
     return listModelsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<UpdateModelRequest, Model> updateModelCallable() {
     return updateModelCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteModelRequest, Operation> deleteModelCallable() {
     return deleteModelCallable;
   }
 
+  @Override
   public OperationCallable<DeleteModelRequest, Empty, DeleteOperationMetadata>
       deleteModelOperationCallable() {
     return deleteModelOperationCallable;
   }
 
+  @Override
   public UnaryCallable<ExportModelRequest, Operation> exportModelCallable() {
     return exportModelCallable;
   }
 
+  @Override
   public OperationCallable<ExportModelRequest, ExportModelResponse, ExportModelOperationMetadata>
       exportModelOperationCallable() {
     return exportModelOperationCallable;
   }
 
+  @Override
   public UnaryCallable<GetModelEvaluationRequest, ModelEvaluation> getModelEvaluationCallable() {
     return getModelEvaluationCallable;
   }
 
+  @Override
   public UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsResponse>
       listModelEvaluationsCallable() {
     return listModelEvaluationsCallable;
   }
 
+  @Override
   public UnaryCallable<ListModelEvaluationsRequest, ListModelEvaluationsPagedResponse>
       listModelEvaluationsPagedCallable() {
     return listModelEvaluationsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<GetModelEvaluationSliceRequest, ModelEvaluationSlice>
       getModelEvaluationSliceCallable() {
     return getModelEvaluationSliceCallable;
   }
 
+  @Override
   public UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesResponse>
       listModelEvaluationSlicesCallable() {
     return listModelEvaluationSlicesCallable;
   }
 
+  @Override
   public UnaryCallable<ListModelEvaluationSlicesRequest, ListModelEvaluationSlicesPagedResponse>
       listModelEvaluationSlicesPagedCallable() {
     return listModelEvaluationSlicesPagedCallable;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
index 84aaf3c5c..742b70296 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
@@ -283,34 +283,41 @@ public GrpcOperationsStub getOperationsStub() {
     return operationsStub;
   }
 
+  @Override
   public UnaryCallable<CreateTrainingPipelineRequest, TrainingPipeline>
       createTrainingPipelineCallable() {
     return createTrainingPipelineCallable;
   }
 
+  @Override
   public UnaryCallable<GetTrainingPipelineRequest, TrainingPipeline> getTrainingPipelineCallable() {
     return getTrainingPipelineCallable;
   }
 
+  @Override
   public UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesResponse>
       listTrainingPipelinesCallable() {
     return listTrainingPipelinesCallable;
   }
 
+  @Override
   public UnaryCallable<ListTrainingPipelinesRequest, ListTrainingPipelinesPagedResponse>
       listTrainingPipelinesPagedCallable() {
     return listTrainingPipelinesPagedCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteTrainingPipelineRequest, Operation> deleteTrainingPipelineCallable() {
     return deleteTrainingPipelineCallable;
   }
 
+  @Override
   public OperationCallable<DeleteTrainingPipelineRequest, Empty, DeleteOperationMetadata>
       deleteTrainingPipelineOperationCallable() {
     return deleteTrainingPipelineOperationCallable;
   }
 
+  @Override
   public UnaryCallable<CancelTrainingPipelineRequest, Empty> cancelTrainingPipelineCallable() {
     return cancelTrainingPipelineCallable;
   }
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
index 9835ec3e8..49d493512 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
@@ -149,10 +149,12 @@ public GrpcOperationsStub getOperationsStub() {
     return operationsStub;
   }
 
+  @Override
   public UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
     return predictCallable;
   }
 
+  @Override
   public UnaryCallable<ExplainRequest, ExplainResponse> explainCallable() {
     return explainCallable;
   }
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
index 3983992be..08011b735 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
@@ -298,43 +298,52 @@ public GrpcOperationsStub getOperationsStub() {
     return operationsStub;
   }
 
+  @Override
   public UnaryCallable<CreateSpecialistPoolRequest, Operation> createSpecialistPoolCallable() {
     return createSpecialistPoolCallable;
   }
 
+  @Override
   public OperationCallable<
           CreateSpecialistPoolRequest, SpecialistPool, CreateSpecialistPoolOperationMetadata>
       createSpecialistPoolOperationCallable() {
     return createSpecialistPoolOperationCallable;
   }
 
+  @Override
   public UnaryCallable<GetSpecialistPoolRequest, SpecialistPool> getSpecialistPoolCallable() {
     return getSpecialistPoolCallable;
   }
 
+  @Override
   public UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsResponse>
       listSpecialistPoolsCallable() {
     return listSpecialistPoolsCallable;
   }
 
+  @Override
   public UnaryCallable<ListSpecialistPoolsRequest, ListSpecialistPoolsPagedResponse>
       listSpecialistPoolsPagedCallable() {
     return listSpecialistPoolsPagedCallable;
   }
 
+  @Override
   public UnaryCallable<DeleteSpecialistPoolRequest, Operation> deleteSpecialistPoolCallable() {
     return deleteSpecialistPoolCallable;
   }
 
+  @Override
   public OperationCallable<DeleteSpecialistPoolRequest, Empty, DeleteOperationMetadata>
       deleteSpecialistPoolOperationCallable() {
     return deleteSpecialistPoolOperationCallable;
   }
 
+  @Override
   public UnaryCallable<UpdateSpecialistPoolRequest, Operation> updateSpecialistPoolCallable() {
     return updateSpecialistPoolCallable;
   }
 
+  @Override
   public OperationCallable<
           UpdateSpecialistPoolRequest, SpecialistPool, UpdateSpecialistPoolOperationMetadata>
       updateSpecialistPoolOperationCallable() {
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
index 7ffaecaaf..f591a0058 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
@@ -99,6 +99,7 @@ public void createCustomJobTest() throws Exception {
             .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
             .setDisplayName("displayName1714148973")
             .setJobSpec(CustomJobSpec.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
             .setEndTime(Timestamp.newBuilder().build())
@@ -148,6 +149,7 @@ public void createCustomJobTest2() throws Exception {
             .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
             .setDisplayName("displayName1714148973")
             .setJobSpec(CustomJobSpec.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
             .setEndTime(Timestamp.newBuilder().build())
@@ -197,6 +199,7 @@ public void getCustomJobTest() throws Exception {
             .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
             .setDisplayName("displayName1714148973")
             .setJobSpec(CustomJobSpec.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
             .setEndTime(Timestamp.newBuilder().build())
@@ -243,6 +246,7 @@ public void getCustomJobTest2() throws Exception {
             .setName(CustomJobName.of("[PROJECT]", "[LOCATION]", "[CUSTOM_JOB]").toString())
             .setDisplayName("displayName1714148973")
             .setJobSpec(CustomJobSpec.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
             .setEndTime(Timestamp.newBuilder().build())
@@ -535,6 +539,7 @@ public void createDataLabelingJobTest() throws Exception {
             .setInstructionUri("instructionUri1989242366")
             .setInputsSchemaUri("inputsSchemaUri1757461538")
             .setInputs(Value.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setLabelingProgress(-685978914)
             .setCurrentSpend(Money.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
@@ -593,6 +598,7 @@ public void createDataLabelingJobTest2() throws Exception {
             .setInstructionUri("instructionUri1989242366")
             .setInputsSchemaUri("inputsSchemaUri1757461538")
             .setInputs(Value.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setLabelingProgress(-685978914)
             .setCurrentSpend(Money.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
@@ -651,6 +657,7 @@ public void getDataLabelingJobTest() throws Exception {
             .setInstructionUri("instructionUri1989242366")
             .setInputsSchemaUri("inputsSchemaUri1757461538")
             .setInputs(Value.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setLabelingProgress(-685978914)
             .setCurrentSpend(Money.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
@@ -707,6 +714,7 @@ public void getDataLabelingJobTest2() throws Exception {
             .setInstructionUri("instructionUri1989242366")
             .setInputsSchemaUri("inputsSchemaUri1757461538")
             .setInputs(Value.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setLabelingProgress(-685978914)
             .setCurrentSpend(Money.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
@@ -1013,6 +1021,7 @@ public void createHyperparameterTuningJobTest() throws Exception {
             .setMaxFailedTrialCount(-887662497)
             .setTrialJobSpec(CustomJobSpec.newBuilder().build())
             .addAllTrials(new ArrayList<Trial>())
+            .setState(JobState.forNumber(0))
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
             .setEndTime(Timestamp.newBuilder().build())
@@ -1073,6 +1082,7 @@ public void createHyperparameterTuningJobTest2() throws Exception {
             .setMaxFailedTrialCount(-887662497)
             .setTrialJobSpec(CustomJobSpec.newBuilder().build())
             .addAllTrials(new ArrayList<Trial>())
+            .setState(JobState.forNumber(0))
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
             .setEndTime(Timestamp.newBuilder().build())
@@ -1133,6 +1143,7 @@ public void getHyperparameterTuningJobTest() throws Exception {
             .setMaxFailedTrialCount(-887662497)
             .setTrialJobSpec(CustomJobSpec.newBuilder().build())
             .addAllTrials(new ArrayList<Trial>())
+            .setState(JobState.forNumber(0))
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
             .setEndTime(Timestamp.newBuilder().build())
@@ -1190,6 +1201,7 @@ public void getHyperparameterTuningJobTest2() throws Exception {
             .setMaxFailedTrialCount(-887662497)
             .setTrialJobSpec(CustomJobSpec.newBuilder().build())
             .addAllTrials(new ArrayList<Trial>())
+            .setState(JobState.forNumber(0))
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
             .setEndTime(Timestamp.newBuilder().build())
@@ -1501,6 +1513,7 @@ public void createBatchPredictionJobTest() throws Exception {
             .setGenerateExplanation(true)
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setError(Status.newBuilder().build())
             .addAllPartialFailures(new ArrayList<Status>())
             .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
@@ -1564,6 +1577,7 @@ public void createBatchPredictionJobTest2() throws Exception {
             .setGenerateExplanation(true)
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setError(Status.newBuilder().build())
             .addAllPartialFailures(new ArrayList<Status>())
             .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
@@ -1627,6 +1641,7 @@ public void getBatchPredictionJobTest() throws Exception {
             .setGenerateExplanation(true)
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setError(Status.newBuilder().build())
             .addAllPartialFailures(new ArrayList<Status>())
             .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
@@ -1689,6 +1704,7 @@ public void getBatchPredictionJobTest2() throws Exception {
             .setGenerateExplanation(true)
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setOutputInfo(BatchPredictionJob.OutputInfo.newBuilder().build())
+            .setState(JobState.forNumber(0))
             .setError(Status.newBuilder().build())
             .addAllPartialFailures(new ArrayList<Status>())
             .setResourcesConsumed(ResourcesConsumed.newBuilder().build())
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockDatasetServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockDatasetServiceImpl.java
index 9aca8171f..547644d71 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockDatasetServiceImpl.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockDatasetServiceImpl.java
@@ -70,7 +70,13 @@ public void createDataset(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CreateDataset, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -84,7 +90,13 @@ public void getDataset(GetDatasetRequest request, StreamObserver<Dataset> respon
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetDataset, expected %s or %s",
+                  response.getClass().getName(),
+                  Dataset.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -99,7 +111,13 @@ public void updateDataset(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method UpdateDataset, expected %s or %s",
+                  response.getClass().getName(),
+                  Dataset.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -114,7 +132,13 @@ public void listDatasets(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListDatasets, expected %s or %s",
+                  response.getClass().getName(),
+                  ListDatasetsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -129,7 +153,13 @@ public void deleteDataset(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteDataset, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -143,7 +173,13 @@ public void importData(ImportDataRequest request, StreamObserver<Operation> resp
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ImportData, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -157,7 +193,13 @@ public void exportData(ExportDataRequest request, StreamObserver<Operation> resp
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ExportData, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -172,7 +214,13 @@ public void listDataItems(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListDataItems, expected %s or %s",
+                  response.getClass().getName(),
+                  ListDataItemsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -187,7 +235,13 @@ public void getAnnotationSpec(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetAnnotationSpec, expected %s or %s",
+                  response.getClass().getName(),
+                  AnnotationSpec.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -202,7 +256,13 @@ public void listAnnotations(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListAnnotations, expected %s or %s",
+                  response.getClass().getName(),
+                  ListAnnotationsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 }
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockEndpointServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockEndpointServiceImpl.java
index bf0919778..782b5a961 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockEndpointServiceImpl.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockEndpointServiceImpl.java
@@ -70,7 +70,13 @@ public void createEndpoint(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CreateEndpoint, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -84,7 +90,13 @@ public void getEndpoint(GetEndpointRequest request, StreamObserver<Endpoint> res
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetEndpoint, expected %s or %s",
+                  response.getClass().getName(),
+                  Endpoint.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -99,7 +111,13 @@ public void listEndpoints(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListEndpoints, expected %s or %s",
+                  response.getClass().getName(),
+                  ListEndpointsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -114,7 +132,13 @@ public void updateEndpoint(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method UpdateEndpoint, expected %s or %s",
+                  response.getClass().getName(),
+                  Endpoint.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -129,7 +153,13 @@ public void deleteEndpoint(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteEndpoint, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -143,7 +173,13 @@ public void deployModel(DeployModelRequest request, StreamObserver<Operation> re
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeployModel, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -158,7 +194,13 @@ public void undeployModel(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method UndeployModel, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 }
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockJobServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockJobServiceImpl.java
index 6a69236aa..891ab43e1 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockJobServiceImpl.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockJobServiceImpl.java
@@ -71,7 +71,13 @@ public void createCustomJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CreateCustomJob, expected %s or %s",
+                  response.getClass().getName(),
+                  CustomJob.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -86,7 +92,13 @@ public void getCustomJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetCustomJob, expected %s or %s",
+                  response.getClass().getName(),
+                  CustomJob.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -101,7 +113,13 @@ public void listCustomJobs(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListCustomJobs, expected %s or %s",
+                  response.getClass().getName(),
+                  ListCustomJobsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -116,7 +134,13 @@ public void deleteCustomJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteCustomJob, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -131,7 +155,13 @@ public void cancelCustomJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CancelCustomJob, expected %s or %s",
+                  response.getClass().getName(),
+                  Empty.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -146,7 +176,13 @@ public void createDataLabelingJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CreateDataLabelingJob, expected %s or %s",
+                  response.getClass().getName(),
+                  DataLabelingJob.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -161,7 +197,13 @@ public void getDataLabelingJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetDataLabelingJob, expected %s or %s",
+                  response.getClass().getName(),
+                  DataLabelingJob.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -177,7 +219,13 @@ public void listDataLabelingJobs(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListDataLabelingJobs, expected %s or %s",
+                  response.getClass().getName(),
+                  ListDataLabelingJobsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -192,7 +240,13 @@ public void deleteDataLabelingJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteDataLabelingJob, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -207,7 +261,13 @@ public void cancelDataLabelingJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CancelDataLabelingJob, expected %s or %s",
+                  response.getClass().getName(),
+                  Empty.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -223,7 +283,13 @@ public void createHyperparameterTuningJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CreateHyperparameterTuningJob, expected %s or %s",
+                  response.getClass().getName(),
+                  HyperparameterTuningJob.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -239,7 +305,13 @@ public void getHyperparameterTuningJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetHyperparameterTuningJob, expected %s or %s",
+                  response.getClass().getName(),
+                  HyperparameterTuningJob.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -255,7 +327,13 @@ public void listHyperparameterTuningJobs(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListHyperparameterTuningJobs, expected %s or %s",
+                  response.getClass().getName(),
+                  ListHyperparameterTuningJobsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -270,7 +348,13 @@ public void deleteHyperparameterTuningJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteHyperparameterTuningJob, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -285,7 +369,13 @@ public void cancelHyperparameterTuningJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CancelHyperparameterTuningJob, expected %s or %s",
+                  response.getClass().getName(),
+                  Empty.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -301,7 +391,13 @@ public void createBatchPredictionJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CreateBatchPredictionJob, expected %s or %s",
+                  response.getClass().getName(),
+                  BatchPredictionJob.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -316,7 +412,13 @@ public void getBatchPredictionJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetBatchPredictionJob, expected %s or %s",
+                  response.getClass().getName(),
+                  BatchPredictionJob.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -332,7 +434,13 @@ public void listBatchPredictionJobs(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListBatchPredictionJobs, expected %s or %s",
+                  response.getClass().getName(),
+                  ListBatchPredictionJobsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -347,7 +455,13 @@ public void deleteBatchPredictionJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteBatchPredictionJob, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -362,7 +476,13 @@ public void cancelBatchPredictionJob(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CancelBatchPredictionJob, expected %s or %s",
+                  response.getClass().getName(),
+                  Empty.class.getName(),
+                  Exception.class.getName())));
     }
   }
 }
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockMigrationServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockMigrationServiceImpl.java
index 025a3b30d..be730ec73 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockMigrationServiceImpl.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockMigrationServiceImpl.java
@@ -71,7 +71,13 @@ public void searchMigratableResources(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method SearchMigratableResources, expected %s or %s",
+                  response.getClass().getName(),
+                  SearchMigratableResourcesResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -86,7 +92,13 @@ public void batchMigrateResources(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method BatchMigrateResources, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 }
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockModelServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockModelServiceImpl.java
index 1a178e4bb..0691bbbc4 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockModelServiceImpl.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockModelServiceImpl.java
@@ -69,7 +69,13 @@ public void uploadModel(UploadModelRequest request, StreamObserver<Operation> re
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method UploadModel, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -83,7 +89,13 @@ public void getModel(GetModelRequest request, StreamObserver<Model> responseObse
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetModel, expected %s or %s",
+                  response.getClass().getName(),
+                  Model.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -98,7 +110,13 @@ public void listModels(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListModels, expected %s or %s",
+                  response.getClass().getName(),
+                  ListModelsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -112,7 +130,13 @@ public void updateModel(UpdateModelRequest request, StreamObserver<Model> respon
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method UpdateModel, expected %s or %s",
+                  response.getClass().getName(),
+                  Model.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -126,7 +150,13 @@ public void deleteModel(DeleteModelRequest request, StreamObserver<Operation> re
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteModel, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -140,7 +170,13 @@ public void exportModel(ExportModelRequest request, StreamObserver<Operation> re
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ExportModel, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -155,7 +191,13 @@ public void getModelEvaluation(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetModelEvaluation, expected %s or %s",
+                  response.getClass().getName(),
+                  ModelEvaluation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -171,7 +213,13 @@ public void listModelEvaluations(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListModelEvaluations, expected %s or %s",
+                  response.getClass().getName(),
+                  ListModelEvaluationsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -187,7 +235,13 @@ public void getModelEvaluationSlice(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetModelEvaluationSlice, expected %s or %s",
+                  response.getClass().getName(),
+                  ModelEvaluationSlice.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -203,7 +257,13 @@ public void listModelEvaluationSlices(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListModelEvaluationSlices, expected %s or %s",
+                  response.getClass().getName(),
+                  ListModelEvaluationSlicesResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 }
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockPipelineServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockPipelineServiceImpl.java
index 8d124695f..6b9a46565 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockPipelineServiceImpl.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockPipelineServiceImpl.java
@@ -71,7 +71,13 @@ public void createTrainingPipeline(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CreateTrainingPipeline, expected %s or %s",
+                  response.getClass().getName(),
+                  TrainingPipeline.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -86,7 +92,13 @@ public void getTrainingPipeline(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetTrainingPipeline, expected %s or %s",
+                  response.getClass().getName(),
+                  TrainingPipeline.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -102,7 +114,13 @@ public void listTrainingPipelines(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListTrainingPipelines, expected %s or %s",
+                  response.getClass().getName(),
+                  ListTrainingPipelinesResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -117,7 +135,13 @@ public void deleteTrainingPipeline(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteTrainingPipeline, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -132,7 +156,13 @@ public void cancelTrainingPipeline(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CancelTrainingPipeline, expected %s or %s",
+                  response.getClass().getName(),
+                  Empty.class.getName(),
+                  Exception.class.getName())));
     }
   }
 }
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockPredictionServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockPredictionServiceImpl.java
index 41520593e..4a543329c 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockPredictionServiceImpl.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockPredictionServiceImpl.java
@@ -68,7 +68,13 @@ public void predict(PredictRequest request, StreamObserver<PredictResponse> resp
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method Predict, expected %s or %s",
+                  response.getClass().getName(),
+                  PredictResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -82,7 +88,13 @@ public void explain(ExplainRequest request, StreamObserver<ExplainResponse> resp
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method Explain, expected %s or %s",
+                  response.getClass().getName(),
+                  ExplainResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 }
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockSpecialistPoolServiceImpl.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockSpecialistPoolServiceImpl.java
index f65ef9c29..f65908b2a 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockSpecialistPoolServiceImpl.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/MockSpecialistPoolServiceImpl.java
@@ -70,7 +70,13 @@ public void createSpecialistPool(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method CreateSpecialistPool, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -85,7 +91,13 @@ public void getSpecialistPool(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method GetSpecialistPool, expected %s or %s",
+                  response.getClass().getName(),
+                  SpecialistPool.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -101,7 +113,13 @@ public void listSpecialistPools(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method ListSpecialistPools, expected %s or %s",
+                  response.getClass().getName(),
+                  ListSpecialistPoolsResponse.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -116,7 +134,13 @@ public void deleteSpecialistPool(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method DeleteSpecialistPool, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 
@@ -131,7 +155,13 @@ public void updateSpecialistPool(
     } else if (response instanceof Exception) {
       responseObserver.onError(((Exception) response));
     } else {
-      responseObserver.onError(new IllegalArgumentException("Unrecognized response type"));
+      responseObserver.onError(
+          new IllegalArgumentException(
+              String.format(
+                  "Unrecognized response type %s for method UpdateSpecialistPool, expected %s or %s",
+                  response.getClass().getName(),
+                  Operation.class.getName(),
+                  Exception.class.getName())));
     }
   }
 }
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
index 82c77c18a..17a9d66f6 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
@@ -100,6 +100,7 @@ public void createTrainingPipelineTest() throws Exception {
             .setTrainingTaskInputs(Value.newBuilder().build())
             .setTrainingTaskMetadata(Value.newBuilder().build())
             .setModelToUpload(Model.newBuilder().build())
+            .setState(PipelineState.forNumber(0))
             .setError(Status.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
@@ -156,6 +157,7 @@ public void createTrainingPipelineTest2() throws Exception {
             .setTrainingTaskInputs(Value.newBuilder().build())
             .setTrainingTaskMetadata(Value.newBuilder().build())
             .setModelToUpload(Model.newBuilder().build())
+            .setState(PipelineState.forNumber(0))
             .setError(Status.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
@@ -212,6 +214,7 @@ public void getTrainingPipelineTest() throws Exception {
             .setTrainingTaskInputs(Value.newBuilder().build())
             .setTrainingTaskMetadata(Value.newBuilder().build())
             .setModelToUpload(Model.newBuilder().build())
+            .setState(PipelineState.forNumber(0))
             .setError(Status.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
@@ -266,6 +269,7 @@ public void getTrainingPipelineTest2() throws Exception {
             .setTrainingTaskInputs(Value.newBuilder().build())
             .setTrainingTaskMetadata(Value.newBuilder().build())
             .setModelToUpload(Model.newBuilder().build())
+            .setState(PipelineState.forNumber(0))
             .setError(Status.newBuilder().build())
             .setCreateTime(Timestamp.newBuilder().build())
             .setStartTime(Timestamp.newBuilder().build())
diff --git a/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml b/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
index 5b665eabc..b291fabc7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
+++ b/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
@@ -2,18 +2,108 @@
 <!-- see http://www.mojohaus.org/clirr-maven-plugin/examples/ignored-differences.html -->
 <!-- TODO: remove after next major version is released -->
 <differences>
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/*OrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* get*(*)</method>
+  </difference>
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/*OrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* has*(*)</method>
+  </difference>
   <difference>
     <className>
-      com/google/cloud/aiplatform/v1beta1/*OrBuilder
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*OrBuilder
     </className>
     <differenceType>7012</differenceType>
     <method>* get*(*)</method>
   </difference>
   <difference>
     <className>
-      com/google/cloud/aiplatform/v1beta1/*OrBuilder
+      com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/*OrBuilder
     </className>
     <differenceType>7012</differenceType>
-    <method>* has*()</method>
+    <method>* get*(*)</method>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result
+    </className>
+    <differenceType>7006</differenceType>
+    <method>* get*(*)</method>
+    <to>java.lang.String</to>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result$Builder
+    </className>
+    <differenceType>7006</differenceType>
+    <method>* get*(*)</method>
+    <to>java.lang.String</to>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*OrBuilder
+    </className>
+    <differenceType>7006</differenceType>
+    <method>* get*(*)</method>
+    <to>java.lang.String</to>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result$Builder
+    </className>
+    <differenceType>7005</differenceType>
+    <method>* set*(*)</method>
+    <to>* set*(*)</to>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result
+    </className>
+    <differenceType>6011</differenceType>
+    <field>*FIELD_NUMBER</field>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResult$Prediction*
+    </className>
+    <differenceType>8001</differenceType>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result*
+    </className>
+    <differenceType>7002</differenceType>
+    <method>* get*(*)</method>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result*
+    </className>
+    <differenceType>7002</differenceType>
+    <method>* has*(*)</method>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result*
+    </className>
+    <differenceType>7002</differenceType>
+    <method>* clear*(*)</method>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result*
+    </className>
+    <differenceType>7002</differenceType>
+    <method>* merge*(*)</method>
+  </difference>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/*Result*
+    </className>
+    <differenceType>7002</differenceType>
+    <method>* set*(*)</method>
   </difference>
 </differences>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java
index e1e72bacd..19bd01e51 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstance.java
@@ -308,8 +308,8 @@ public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -335,8 +335,8 @@ public java.lang.String getTimeSegmentEnd() {
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -1135,8 +1135,8 @@ public Builder setTimeSegmentStartBytes(com.google.protobuf.ByteString value) {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1161,8 +1161,8 @@ public java.lang.String getTimeSegmentEnd() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1187,8 +1187,8 @@ public com.google.protobuf.ByteString getTimeSegmentEndBytes() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1212,8 +1212,8 @@ public Builder setTimeSegmentEnd(java.lang.String value) {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1233,8 +1233,8 @@ public Builder clearTimeSegmentEnd() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java
index dffb8c25d..2c3ffdf85 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoActionRecognitionPredictionInstanceOrBuilder.java
@@ -115,8 +115,8 @@ public interface VideoActionRecognitionPredictionInstanceOrBuilder
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -131,8 +131,8 @@ public interface VideoActionRecognitionPredictionInstanceOrBuilder
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstance.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstance.java
index daf0868d1..93ff68c17 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstance.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstance.java
@@ -308,8 +308,8 @@ public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -335,8 +335,8 @@ public java.lang.String getTimeSegmentEnd() {
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -1135,8 +1135,8 @@ public Builder setTimeSegmentStartBytes(com.google.protobuf.ByteString value) {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1161,8 +1161,8 @@ public java.lang.String getTimeSegmentEnd() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1187,8 +1187,8 @@ public com.google.protobuf.ByteString getTimeSegmentEndBytes() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1212,8 +1212,8 @@ public Builder setTimeSegmentEnd(java.lang.String value) {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1233,8 +1233,8 @@ public Builder clearTimeSegmentEnd() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java
index c48b70440..032a7e66c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoClassificationPredictionInstanceOrBuilder.java
@@ -115,8 +115,8 @@ public interface VideoClassificationPredictionInstanceOrBuilder
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -131,8 +131,8 @@ public interface VideoClassificationPredictionInstanceOrBuilder
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java
index ac89697f4..72309bdf9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstance.java
@@ -308,8 +308,8 @@ public com.google.protobuf.ByteString getTimeSegmentStartBytes() {
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -335,8 +335,8 @@ public java.lang.String getTimeSegmentEnd() {
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -1135,8 +1135,8 @@ public Builder setTimeSegmentStartBytes(com.google.protobuf.ByteString value) {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1161,8 +1161,8 @@ public java.lang.String getTimeSegmentEnd() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1187,8 +1187,8 @@ public com.google.protobuf.ByteString getTimeSegmentEndBytes() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1212,8 +1212,8 @@ public Builder setTimeSegmentEnd(java.lang.String value) {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
@@ -1233,8 +1233,8 @@ public Builder clearTimeSegmentEnd() {
      * The end, exclusive, of the video's time segment on which to perform
      * the prediction. Expressed as a number of seconds as measured from the
      * start of the video, with "s" appended at the end. Fractions are allowed,
-     * up to a microsecond precision, and "Infinity" is allowed, which means the
-     * end of the video.
+     * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+     * means the end of the video.
      * </pre>
      *
      * <code>string time_segment_end = 4;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java
index 2e29ef57f..b0211322d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/instance/VideoObjectTrackingPredictionInstanceOrBuilder.java
@@ -115,8 +115,8 @@ public interface VideoObjectTrackingPredictionInstanceOrBuilder
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
@@ -131,8 +131,8 @@ public interface VideoObjectTrackingPredictionInstanceOrBuilder
    * The end, exclusive, of the video's time segment on which to perform
    * the prediction. Expressed as a number of seconds as measured from the
    * start of the video, with "s" appended at the end. Fractions are allowed,
-   * up to a microsecond precision, and "Infinity" is allowed, which means the
-   * end of the video.
+   * up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+   * means the end of the video.
    * </pre>
    *
    * <code>string time_segment_end = 4;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResult.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResult.java
index 6dcacd406..c5c3e30a2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResult.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResult.java
@@ -40,8 +40,8 @@ private ImageSegmentationPredictionResult(
   }
 
   private ImageSegmentationPredictionResult() {
-    categoryMask_ = com.google.protobuf.ByteString.EMPTY;
-    confidenceMask_ = com.google.protobuf.ByteString.EMPTY;
+    categoryMask_ = "";
+    confidenceMask_ = "";
   }
 
   @java.lang.Override
@@ -75,12 +75,16 @@ private ImageSegmentationPredictionResult(
             break;
           case 10:
             {
-              categoryMask_ = input.readBytes();
+              java.lang.String s = input.readStringRequireUtf8();
+
+              categoryMask_ = s;
               break;
             }
           case 18:
             {
-              confidenceMask_ = input.readBytes();
+              java.lang.String s = input.readStringRequireUtf8();
+
+              confidenceMask_ = s;
               break;
             }
           default:
@@ -122,7 +126,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
   }
 
   public static final int CATEGORY_MASK_FIELD_NUMBER = 1;
-  private com.google.protobuf.ByteString categoryMask_;
+  private volatile java.lang.Object categoryMask_;
   /**
    *
    *
@@ -135,17 +139,53 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * the confidence threshold, the pixel will be marked as background.
    * </pre>
    *
-   * <code>bytes category_mask = 1;</code>
+   * <code>string category_mask = 1;</code>
    *
    * @return The categoryMask.
    */
   @java.lang.Override
-  public com.google.protobuf.ByteString getCategoryMask() {
-    return categoryMask_;
+  public java.lang.String getCategoryMask() {
+    java.lang.Object ref = categoryMask_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      categoryMask_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A PNG image where each pixel in the mask represents the category in which
+   * the pixel in the original image was predicted to belong to. The size of
+   * this image will be the same as the original image. The mapping between the
+   * AnntoationSpec and the color can be found in model's metadata. The model
+   * will choose the most likely category and if none of the categories reach
+   * the confidence threshold, the pixel will be marked as background.
+   * </pre>
+   *
+   * <code>string category_mask = 1;</code>
+   *
+   * @return The bytes for categoryMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getCategoryMaskBytes() {
+    java.lang.Object ref = categoryMask_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      categoryMask_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
   }
 
   public static final int CONFIDENCE_MASK_FIELD_NUMBER = 2;
-  private com.google.protobuf.ByteString confidenceMask_;
+  private volatile java.lang.Object confidenceMask_;
   /**
    *
    *
@@ -157,13 +197,48 @@ public com.google.protobuf.ByteString getCategoryMask() {
    * white means complete confidence.
    * </pre>
    *
-   * <code>bytes confidence_mask = 2;</code>
+   * <code>string confidence_mask = 2;</code>
    *
    * @return The confidenceMask.
    */
   @java.lang.Override
-  public com.google.protobuf.ByteString getConfidenceMask() {
-    return confidenceMask_;
+  public java.lang.String getConfidenceMask() {
+    java.lang.Object ref = confidenceMask_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      confidenceMask_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * A one channel image which is encoded as an 8bit lossless PNG. The size of
+   * the image will be the same as the original image. For a specific pixel,
+   * darker color means less confidence in correctness of the cateogry in the
+   * categoryMask for the corresponding pixel. Black means no confidence and
+   * white means complete confidence.
+   * </pre>
+   *
+   * <code>string confidence_mask = 2;</code>
+   *
+   * @return The bytes for confidenceMask.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getConfidenceMaskBytes() {
+    java.lang.Object ref = confidenceMask_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      confidenceMask_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
   }
 
   private byte memoizedIsInitialized = -1;
@@ -180,11 +255,11 @@ public final boolean isInitialized() {
 
   @java.lang.Override
   public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
-    if (!categoryMask_.isEmpty()) {
-      output.writeBytes(1, categoryMask_);
+    if (!getCategoryMaskBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, categoryMask_);
     }
-    if (!confidenceMask_.isEmpty()) {
-      output.writeBytes(2, confidenceMask_);
+    if (!getConfidenceMaskBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 2, confidenceMask_);
     }
     unknownFields.writeTo(output);
   }
@@ -195,11 +270,11 @@ public int getSerializedSize() {
     if (size != -1) return size;
 
     size = 0;
-    if (!categoryMask_.isEmpty()) {
-      size += com.google.protobuf.CodedOutputStream.computeBytesSize(1, categoryMask_);
+    if (!getCategoryMaskBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, categoryMask_);
     }
-    if (!confidenceMask_.isEmpty()) {
-      size += com.google.protobuf.CodedOutputStream.computeBytesSize(2, confidenceMask_);
+    if (!getConfidenceMaskBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, confidenceMask_);
     }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
@@ -413,9 +488,9 @@ private void maybeForceBuilderInitialization() {
     @java.lang.Override
     public Builder clear() {
       super.clear();
-      categoryMask_ = com.google.protobuf.ByteString.EMPTY;
+      categoryMask_ = "";
 
-      confidenceMask_ = com.google.protobuf.ByteString.EMPTY;
+      confidenceMask_ = "";
 
       return this;
     }
@@ -519,11 +594,13 @@ public Builder mergeFrom(
       if (other
           == com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
               .ImageSegmentationPredictionResult.getDefaultInstance()) return this;
-      if (other.getCategoryMask() != com.google.protobuf.ByteString.EMPTY) {
-        setCategoryMask(other.getCategoryMask());
+      if (!other.getCategoryMask().isEmpty()) {
+        categoryMask_ = other.categoryMask_;
+        onChanged();
       }
-      if (other.getConfidenceMask() != com.google.protobuf.ByteString.EMPTY) {
-        setConfidenceMask(other.getConfidenceMask());
+      if (!other.getConfidenceMask().isEmpty()) {
+        confidenceMask_ = other.confidenceMask_;
+        onChanged();
       }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
@@ -559,7 +636,7 @@ public Builder mergeFrom(
       return this;
     }
 
-    private com.google.protobuf.ByteString categoryMask_ = com.google.protobuf.ByteString.EMPTY;
+    private java.lang.Object categoryMask_ = "";
     /**
      *
      *
@@ -572,13 +649,47 @@ public Builder mergeFrom(
      * the confidence threshold, the pixel will be marked as background.
      * </pre>
      *
-     * <code>bytes category_mask = 1;</code>
+     * <code>string category_mask = 1;</code>
      *
      * @return The categoryMask.
      */
-    @java.lang.Override
-    public com.google.protobuf.ByteString getCategoryMask() {
-      return categoryMask_;
+    public java.lang.String getCategoryMask() {
+      java.lang.Object ref = categoryMask_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        categoryMask_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A PNG image where each pixel in the mask represents the category in which
+     * the pixel in the original image was predicted to belong to. The size of
+     * this image will be the same as the original image. The mapping between the
+     * AnntoationSpec and the color can be found in model's metadata. The model
+     * will choose the most likely category and if none of the categories reach
+     * the confidence threshold, the pixel will be marked as background.
+     * </pre>
+     *
+     * <code>string category_mask = 1;</code>
+     *
+     * @return The bytes for categoryMask.
+     */
+    public com.google.protobuf.ByteString getCategoryMaskBytes() {
+      java.lang.Object ref = categoryMask_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        categoryMask_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
     }
     /**
      *
@@ -592,12 +703,12 @@ public com.google.protobuf.ByteString getCategoryMask() {
      * the confidence threshold, the pixel will be marked as background.
      * </pre>
      *
-     * <code>bytes category_mask = 1;</code>
+     * <code>string category_mask = 1;</code>
      *
      * @param value The categoryMask to set.
      * @return This builder for chaining.
      */
-    public Builder setCategoryMask(com.google.protobuf.ByteString value) {
+    public Builder setCategoryMask(java.lang.String value) {
       if (value == null) {
         throw new NullPointerException();
       }
@@ -618,7 +729,7 @@ public Builder setCategoryMask(com.google.protobuf.ByteString value) {
      * the confidence threshold, the pixel will be marked as background.
      * </pre>
      *
-     * <code>bytes category_mask = 1;</code>
+     * <code>string category_mask = 1;</code>
      *
      * @return This builder for chaining.
      */
@@ -628,8 +739,35 @@ public Builder clearCategoryMask() {
       onChanged();
       return this;
     }
+    /**
+     *
+     *
+     * <pre>
+     * A PNG image where each pixel in the mask represents the category in which
+     * the pixel in the original image was predicted to belong to. The size of
+     * this image will be the same as the original image. The mapping between the
+     * AnntoationSpec and the color can be found in model's metadata. The model
+     * will choose the most likely category and if none of the categories reach
+     * the confidence threshold, the pixel will be marked as background.
+     * </pre>
+     *
+     * <code>string category_mask = 1;</code>
+     *
+     * @param value The bytes for categoryMask to set.
+     * @return This builder for chaining.
+     */
+    public Builder setCategoryMaskBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      categoryMask_ = value;
+      onChanged();
+      return this;
+    }
 
-    private com.google.protobuf.ByteString confidenceMask_ = com.google.protobuf.ByteString.EMPTY;
+    private java.lang.Object confidenceMask_ = "";
     /**
      *
      *
@@ -641,13 +779,46 @@ public Builder clearCategoryMask() {
      * white means complete confidence.
      * </pre>
      *
-     * <code>bytes confidence_mask = 2;</code>
+     * <code>string confidence_mask = 2;</code>
      *
      * @return The confidenceMask.
      */
-    @java.lang.Override
-    public com.google.protobuf.ByteString getConfidenceMask() {
-      return confidenceMask_;
+    public java.lang.String getConfidenceMask() {
+      java.lang.Object ref = confidenceMask_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        confidenceMask_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * A one channel image which is encoded as an 8bit lossless PNG. The size of
+     * the image will be the same as the original image. For a specific pixel,
+     * darker color means less confidence in correctness of the cateogry in the
+     * categoryMask for the corresponding pixel. Black means no confidence and
+     * white means complete confidence.
+     * </pre>
+     *
+     * <code>string confidence_mask = 2;</code>
+     *
+     * @return The bytes for confidenceMask.
+     */
+    public com.google.protobuf.ByteString getConfidenceMaskBytes() {
+      java.lang.Object ref = confidenceMask_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        confidenceMask_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
     }
     /**
      *
@@ -660,12 +831,12 @@ public com.google.protobuf.ByteString getConfidenceMask() {
      * white means complete confidence.
      * </pre>
      *
-     * <code>bytes confidence_mask = 2;</code>
+     * <code>string confidence_mask = 2;</code>
      *
      * @param value The confidenceMask to set.
      * @return This builder for chaining.
      */
-    public Builder setConfidenceMask(com.google.protobuf.ByteString value) {
+    public Builder setConfidenceMask(java.lang.String value) {
       if (value == null) {
         throw new NullPointerException();
       }
@@ -685,7 +856,7 @@ public Builder setConfidenceMask(com.google.protobuf.ByteString value) {
      * white means complete confidence.
      * </pre>
      *
-     * <code>bytes confidence_mask = 2;</code>
+     * <code>string confidence_mask = 2;</code>
      *
      * @return This builder for chaining.
      */
@@ -695,6 +866,32 @@ public Builder clearConfidenceMask() {
       onChanged();
       return this;
     }
+    /**
+     *
+     *
+     * <pre>
+     * A one channel image which is encoded as an 8bit lossless PNG. The size of
+     * the image will be the same as the original image. For a specific pixel,
+     * darker color means less confidence in correctness of the cateogry in the
+     * categoryMask for the corresponding pixel. Black means no confidence and
+     * white means complete confidence.
+     * </pre>
+     *
+     * <code>string confidence_mask = 2;</code>
+     *
+     * @param value The bytes for confidenceMask to set.
+     * @return This builder for chaining.
+     */
+    public Builder setConfidenceMaskBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      confidenceMask_ = value;
+      onChanged();
+      return this;
+    }
 
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java
index 2a2d9c287..e6d8a3e72 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultOrBuilder.java
@@ -35,11 +35,28 @@ public interface ImageSegmentationPredictionResultOrBuilder
    * the confidence threshold, the pixel will be marked as background.
    * </pre>
    *
-   * <code>bytes category_mask = 1;</code>
+   * <code>string category_mask = 1;</code>
    *
    * @return The categoryMask.
    */
-  com.google.protobuf.ByteString getCategoryMask();
+  java.lang.String getCategoryMask();
+  /**
+   *
+   *
+   * <pre>
+   * A PNG image where each pixel in the mask represents the category in which
+   * the pixel in the original image was predicted to belong to. The size of
+   * this image will be the same as the original image. The mapping between the
+   * AnntoationSpec and the color can be found in model's metadata. The model
+   * will choose the most likely category and if none of the categories reach
+   * the confidence threshold, the pixel will be marked as background.
+   * </pre>
+   *
+   * <code>string category_mask = 1;</code>
+   *
+   * @return The bytes for categoryMask.
+   */
+  com.google.protobuf.ByteString getCategoryMaskBytes();
 
   /**
    *
@@ -52,9 +69,25 @@ public interface ImageSegmentationPredictionResultOrBuilder
    * white means complete confidence.
    * </pre>
    *
-   * <code>bytes confidence_mask = 2;</code>
+   * <code>string confidence_mask = 2;</code>
    *
    * @return The confidenceMask.
    */
-  com.google.protobuf.ByteString getConfidenceMask();
+  java.lang.String getConfidenceMask();
+  /**
+   *
+   *
+   * <pre>
+   * A one channel image which is encoded as an 8bit lossless PNG. The size of
+   * the image will be the same as the original image. For a specific pixel,
+   * darker color means less confidence in correctness of the cateogry in the
+   * categoryMask for the corresponding pixel. Black means no confidence and
+   * white means complete confidence.
+   * </pre>
+   *
+   * <code>string confidence_mask = 2;</code>
+   *
+   * @return The bytes for confidenceMask.
+   */
+  com.google.protobuf.ByteString getConfidenceMaskBytes();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java
index 602053117..79aa5db66 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ImageSegmentationPredictionResultProto.java
@@ -45,8 +45,8 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "roto\0229google.cloud.aiplatform.v1beta1.sc"
           + "hema.predict.prediction\032\034google/api/anno"
           + "tations.proto\"S\n!ImageSegmentationPredic"
-          + "tionResult\022\025\n\rcategory_mask\030\001 \001(\014\022\027\n\017con"
-          + "fidence_mask\030\002 \001(\014B\316\001\n=com.google.cloud."
+          + "tionResult\022\025\n\rcategory_mask\030\001 \001(\t\022\027\n\017con"
+          + "fidence_mask\030\002 \001(\tB\316\001\n=com.google.cloud."
           + "aiplatform.v1beta1.schema.predict.predic"
           + "tionB&ImageSegmentationPredictionResultP"
           + "rotoP\001Zcgoogle.golang.org/genproto/googl"
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResult.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResult.java
index ed8ab726d..fd7d187c0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResult.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResult.java
@@ -22,8 +22,7 @@
  *
  *
  * <pre>
- * Represents a line of JSONL in the text sentiment batch prediction output
- * file. This is a hack to allow printing of integer values.
+ * Prediction output format for Text Sentiment
  * </pre>
  *
  * Protobuf type {@code
@@ -70,44 +69,9 @@ private TextSentimentPredictionResult(
           case 0:
             done = true;
             break;
-          case 10:
+          case 8:
             {
-              com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                      .TextSentimentPredictionInstance.Builder
-                  subBuilder = null;
-              if (instance_ != null) {
-                subBuilder = instance_.toBuilder();
-              }
-              instance_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                          .TextSentimentPredictionInstance.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(instance_);
-                instance_ = subBuilder.buildPartial();
-              }
-
-              break;
-            }
-          case 18:
-            {
-              com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                      .TextSentimentPredictionResult.Prediction.Builder
-                  subBuilder = null;
-              if (prediction_ != null) {
-                subBuilder = prediction_.toBuilder();
-              }
-              prediction_ =
-                  input.readMessage(
-                      com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                          .TextSentimentPredictionResult.Prediction.parser(),
-                      extensionRegistry);
-              if (subBuilder != null) {
-                subBuilder.mergeFrom(prediction_);
-                prediction_ = subBuilder.buildPartial();
-              }
-
+              sentiment_ = input.readInt32();
               break;
             }
           default:
@@ -129,789 +93,45 @@ private TextSentimentPredictionResult(
     }
   }
 
-  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
-    return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-        .TextSentimentPredictionResultProto
-        .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_descriptor;
-  }
-
-  @java.lang.Override
-  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internalGetFieldAccessorTable() {
-    return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-        .TextSentimentPredictionResultProto
-        .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_fieldAccessorTable
-        .ensureFieldAccessorsInitialized(
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.class,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Builder.class);
-  }
-
-  public interface PredictionOrBuilder
-      extends
-      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction)
-      com.google.protobuf.MessageOrBuilder {
-
-    /**
-     *
-     *
-     * <pre>
-     * The integer sentiment labels between 0 (inclusive) and sentimentMax label
-     * (inclusive), while 0 maps to the least positive sentiment and
-     * sentimentMax maps to the most positive one. The higher the score is, the
-     * more positive the sentiment in the text snippet is. Note: sentimentMax is
-     * an integer value between 1 (inclusive) and 10 (inclusive).
-     * </pre>
-     *
-     * <code>int32 sentiment = 1;</code>
-     *
-     * @return The sentiment.
-     */
-    int getSentiment();
-  }
-  /**
-   *
-   *
-   * <pre>
-   * Prediction output format for Text Sentiment.
-   * </pre>
-   *
-   * Protobuf type {@code
-   * google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction}
-   */
-  public static final class Prediction extends com.google.protobuf.GeneratedMessageV3
-      implements
-      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction)
-      PredictionOrBuilder {
-    private static final long serialVersionUID = 0L;
-    // Use Prediction.newBuilder() to construct.
-    private Prediction(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
-      super(builder);
-    }
-
-    private Prediction() {}
-
-    @java.lang.Override
-    @SuppressWarnings({"unused"})
-    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
-      return new Prediction();
-    }
-
-    @java.lang.Override
-    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
-      return this.unknownFields;
-    }
-
-    private Prediction(
-        com.google.protobuf.CodedInputStream input,
-        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-        throws com.google.protobuf.InvalidProtocolBufferException {
-      this();
-      if (extensionRegistry == null) {
-        throw new java.lang.NullPointerException();
-      }
-      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
-          com.google.protobuf.UnknownFieldSet.newBuilder();
-      try {
-        boolean done = false;
-        while (!done) {
-          int tag = input.readTag();
-          switch (tag) {
-            case 0:
-              done = true;
-              break;
-            case 8:
-              {
-                sentiment_ = input.readInt32();
-                break;
-              }
-            default:
-              {
-                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
-                  done = true;
-                }
-                break;
-              }
-          }
-        }
-      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
-        throw e.setUnfinishedMessage(this);
-      } catch (java.io.IOException e) {
-        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
-      } finally {
-        this.unknownFields = unknownFields.build();
-        makeExtensionsImmutable();
-      }
-    }
-
-    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
-      return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-          .TextSentimentPredictionResultProto
-          .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_descriptor;
-    }
-
-    @java.lang.Override
-    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-        internalGetFieldAccessorTable() {
-      return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-          .TextSentimentPredictionResultProto
-          .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_fieldAccessorTable
-          .ensureFieldAccessorsInitialized(
-              com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                  .TextSentimentPredictionResult.Prediction.class,
-              com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                  .TextSentimentPredictionResult.Prediction.Builder.class);
-    }
-
-    public static final int SENTIMENT_FIELD_NUMBER = 1;
-    private int sentiment_;
-    /**
-     *
-     *
-     * <pre>
-     * The integer sentiment labels between 0 (inclusive) and sentimentMax label
-     * (inclusive), while 0 maps to the least positive sentiment and
-     * sentimentMax maps to the most positive one. The higher the score is, the
-     * more positive the sentiment in the text snippet is. Note: sentimentMax is
-     * an integer value between 1 (inclusive) and 10 (inclusive).
-     * </pre>
-     *
-     * <code>int32 sentiment = 1;</code>
-     *
-     * @return The sentiment.
-     */
-    @java.lang.Override
-    public int getSentiment() {
-      return sentiment_;
-    }
-
-    private byte memoizedIsInitialized = -1;
-
-    @java.lang.Override
-    public final boolean isInitialized() {
-      byte isInitialized = memoizedIsInitialized;
-      if (isInitialized == 1) return true;
-      if (isInitialized == 0) return false;
-
-      memoizedIsInitialized = 1;
-      return true;
-    }
-
-    @java.lang.Override
-    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
-      if (sentiment_ != 0) {
-        output.writeInt32(1, sentiment_);
-      }
-      unknownFields.writeTo(output);
-    }
-
-    @java.lang.Override
-    public int getSerializedSize() {
-      int size = memoizedSize;
-      if (size != -1) return size;
-
-      size = 0;
-      if (sentiment_ != 0) {
-        size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentiment_);
-      }
-      size += unknownFields.getSerializedSize();
-      memoizedSize = size;
-      return size;
-    }
-
-    @java.lang.Override
-    public boolean equals(final java.lang.Object obj) {
-      if (obj == this) {
-        return true;
-      }
-      if (!(obj
-          instanceof
-          com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-              .TextSentimentPredictionResult.Prediction)) {
-        return super.equals(obj);
-      }
-      com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-              .Prediction
-          other =
-              (com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                      .TextSentimentPredictionResult.Prediction)
-                  obj;
-
-      if (getSentiment() != other.getSentiment()) return false;
-      if (!unknownFields.equals(other.unknownFields)) return false;
-      return true;
-    }
-
-    @java.lang.Override
-    public int hashCode() {
-      if (memoizedHashCode != 0) {
-        return memoizedHashCode;
-      }
-      int hash = 41;
-      hash = (19 * hash) + getDescriptor().hashCode();
-      hash = (37 * hash) + SENTIMENT_FIELD_NUMBER;
-      hash = (53 * hash) + getSentiment();
-      hash = (29 * hash) + unknownFields.hashCode();
-      memoizedHashCode = hash;
-      return hash;
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(java.nio.ByteBuffer data)
-            throws com.google.protobuf.InvalidProtocolBufferException {
-      return PARSER.parseFrom(data);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(
-            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws com.google.protobuf.InvalidProtocolBufferException {
-      return PARSER.parseFrom(data, extensionRegistry);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(com.google.protobuf.ByteString data)
-            throws com.google.protobuf.InvalidProtocolBufferException {
-      return PARSER.parseFrom(data);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(
-            com.google.protobuf.ByteString data,
-            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws com.google.protobuf.InvalidProtocolBufferException {
-      return PARSER.parseFrom(data, extensionRegistry);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
-      return PARSER.parseFrom(data);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws com.google.protobuf.InvalidProtocolBufferException {
-      return PARSER.parseFrom(data, extensionRegistry);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(java.io.InputStream input) throws java.io.IOException {
-      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(
-            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws java.io.IOException {
-      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
-          PARSER, input, extensionRegistry);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
-      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseDelimitedFrom(
-            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws java.io.IOException {
-      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
-          PARSER, input, extensionRegistry);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
-      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        parseFrom(
-            com.google.protobuf.CodedInputStream input,
-            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-            throws java.io.IOException {
-      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
-          PARSER, input, extensionRegistry);
-    }
-
-    @java.lang.Override
-    public Builder newBuilderForType() {
-      return newBuilder();
-    }
-
-    public static Builder newBuilder() {
-      return DEFAULT_INSTANCE.toBuilder();
-    }
-
-    public static Builder newBuilder(
-        com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-                .Prediction
-            prototype) {
-      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
-    }
-
-    @java.lang.Override
-    public Builder toBuilder() {
-      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
-    }
-
-    @java.lang.Override
-    protected Builder newBuilderForType(
-        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
-      Builder builder = new Builder(parent);
-      return builder;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * Prediction output format for Text Sentiment.
-     * </pre>
-     *
-     * Protobuf type {@code
-     * google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction}
-     */
-    public static final class Builder
-        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
-        implements
-        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction)
-        com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-            .PredictionOrBuilder {
-      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
-        return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResultProto
-            .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_descriptor;
-      }
-
-      @java.lang.Override
-      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-          internalGetFieldAccessorTable() {
-        return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResultProto
-            .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_fieldAccessorTable
-            .ensureFieldAccessorsInitialized(
-                com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                    .TextSentimentPredictionResult.Prediction.class,
-                com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                    .TextSentimentPredictionResult.Prediction.Builder.class);
-      }
-
-      // Construct using
-      // com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction.newBuilder()
-      private Builder() {
-        maybeForceBuilderInitialization();
-      }
-
-      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
-        super(parent);
-        maybeForceBuilderInitialization();
-      }
-
-      private void maybeForceBuilderInitialization() {
-        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
-      }
-
-      @java.lang.Override
-      public Builder clear() {
-        super.clear();
-        sentiment_ = 0;
-
-        return this;
-      }
-
-      @java.lang.Override
-      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
-        return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResultProto
-            .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_descriptor;
-      }
-
-      @java.lang.Override
-      public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-              .TextSentimentPredictionResult.Prediction
-          getDefaultInstanceForType() {
-        return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction.getDefaultInstance();
-      }
-
-      @java.lang.Override
-      public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-              .TextSentimentPredictionResult.Prediction
-          build() {
-        com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-                .Prediction
-            result = buildPartial();
-        if (!result.isInitialized()) {
-          throw newUninitializedMessageException(result);
-        }
-        return result;
-      }
-
-      @java.lang.Override
-      public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-              .TextSentimentPredictionResult.Prediction
-          buildPartial() {
-        com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-                .Prediction
-            result =
-                new com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                    .TextSentimentPredictionResult.Prediction(this);
-        result.sentiment_ = sentiment_;
-        onBuilt();
-        return result;
-      }
-
-      @java.lang.Override
-      public Builder clone() {
-        return super.clone();
-      }
-
-      @java.lang.Override
-      public Builder setField(
-          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
-        return super.setField(field, value);
-      }
-
-      @java.lang.Override
-      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
-        return super.clearField(field);
-      }
-
-      @java.lang.Override
-      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
-        return super.clearOneof(oneof);
-      }
-
-      @java.lang.Override
-      public Builder setRepeatedField(
-          com.google.protobuf.Descriptors.FieldDescriptor field,
-          int index,
-          java.lang.Object value) {
-        return super.setRepeatedField(field, index, value);
-      }
-
-      @java.lang.Override
-      public Builder addRepeatedField(
-          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
-        return super.addRepeatedField(field, value);
-      }
-
-      @java.lang.Override
-      public Builder mergeFrom(com.google.protobuf.Message other) {
-        if (other
-            instanceof
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Prediction) {
-          return mergeFrom(
-              (com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                      .TextSentimentPredictionResult.Prediction)
-                  other);
-        } else {
-          super.mergeFrom(other);
-          return this;
-        }
-      }
-
-      public Builder mergeFrom(
-          com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                  .TextSentimentPredictionResult.Prediction
-              other) {
-        if (other
-            == com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Prediction.getDefaultInstance()) return this;
-        if (other.getSentiment() != 0) {
-          setSentiment(other.getSentiment());
-        }
-        this.mergeUnknownFields(other.unknownFields);
-        onChanged();
-        return this;
-      }
-
-      @java.lang.Override
-      public final boolean isInitialized() {
-        return true;
-      }
-
-      @java.lang.Override
-      public Builder mergeFrom(
-          com.google.protobuf.CodedInputStream input,
-          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-          throws java.io.IOException {
-        com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-                .Prediction
-            parsedMessage = null;
-        try {
-          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
-        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
-          parsedMessage =
-              (com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                      .TextSentimentPredictionResult.Prediction)
-                  e.getUnfinishedMessage();
-          throw e.unwrapIOException();
-        } finally {
-          if (parsedMessage != null) {
-            mergeFrom(parsedMessage);
-          }
-        }
-        return this;
-      }
-
-      private int sentiment_;
-      /**
-       *
-       *
-       * <pre>
-       * The integer sentiment labels between 0 (inclusive) and sentimentMax label
-       * (inclusive), while 0 maps to the least positive sentiment and
-       * sentimentMax maps to the most positive one. The higher the score is, the
-       * more positive the sentiment in the text snippet is. Note: sentimentMax is
-       * an integer value between 1 (inclusive) and 10 (inclusive).
-       * </pre>
-       *
-       * <code>int32 sentiment = 1;</code>
-       *
-       * @return The sentiment.
-       */
-      @java.lang.Override
-      public int getSentiment() {
-        return sentiment_;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * The integer sentiment labels between 0 (inclusive) and sentimentMax label
-       * (inclusive), while 0 maps to the least positive sentiment and
-       * sentimentMax maps to the most positive one. The higher the score is, the
-       * more positive the sentiment in the text snippet is. Note: sentimentMax is
-       * an integer value between 1 (inclusive) and 10 (inclusive).
-       * </pre>
-       *
-       * <code>int32 sentiment = 1;</code>
-       *
-       * @param value The sentiment to set.
-       * @return This builder for chaining.
-       */
-      public Builder setSentiment(int value) {
-
-        sentiment_ = value;
-        onChanged();
-        return this;
-      }
-      /**
-       *
-       *
-       * <pre>
-       * The integer sentiment labels between 0 (inclusive) and sentimentMax label
-       * (inclusive), while 0 maps to the least positive sentiment and
-       * sentimentMax maps to the most positive one. The higher the score is, the
-       * more positive the sentiment in the text snippet is. Note: sentimentMax is
-       * an integer value between 1 (inclusive) and 10 (inclusive).
-       * </pre>
-       *
-       * <code>int32 sentiment = 1;</code>
-       *
-       * @return This builder for chaining.
-       */
-      public Builder clearSentiment() {
-
-        sentiment_ = 0;
-        onChanged();
-        return this;
-      }
-
-      @java.lang.Override
-      public final Builder setUnknownFields(
-          final com.google.protobuf.UnknownFieldSet unknownFields) {
-        return super.setUnknownFields(unknownFields);
-      }
-
-      @java.lang.Override
-      public final Builder mergeUnknownFields(
-          final com.google.protobuf.UnknownFieldSet unknownFields) {
-        return super.mergeUnknownFields(unknownFields);
-      }
-
-      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction)
-    }
-
-    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction)
-    private static final com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        DEFAULT_INSTANCE;
-
-    static {
-      DEFAULT_INSTANCE =
-          new com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-              .TextSentimentPredictionResult.Prediction();
-    }
-
-    public static com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        getDefaultInstance() {
-      return DEFAULT_INSTANCE;
-    }
-
-    private static final com.google.protobuf.Parser<Prediction> PARSER =
-        new com.google.protobuf.AbstractParser<Prediction>() {
-          @java.lang.Override
-          public Prediction parsePartialFrom(
-              com.google.protobuf.CodedInputStream input,
-              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
-              throws com.google.protobuf.InvalidProtocolBufferException {
-            return new Prediction(input, extensionRegistry);
-          }
-        };
-
-    public static com.google.protobuf.Parser<Prediction> parser() {
-      return PARSER;
-    }
-
-    @java.lang.Override
-    public com.google.protobuf.Parser<Prediction> getParserForType() {
-      return PARSER;
-    }
-
-    @java.lang.Override
-    public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        getDefaultInstanceForType() {
-      return DEFAULT_INSTANCE;
-    }
-  }
-
-  public static final int INSTANCE_FIELD_NUMBER = 1;
-  private com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-          .TextSentimentPredictionInstance
-      instance_;
-  /**
-   *
-   *
-   * <pre>
-   * User's input instance.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-   * </code>
-   *
-   * @return Whether the instance field is set.
-   */
-  @java.lang.Override
-  public boolean hasInstance() {
-    return instance_ != null;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * User's input instance.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-   * </code>
-   *
-   * @return The instance.
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance
-      getInstance() {
-    return instance_ == null
-        ? com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-            .TextSentimentPredictionInstance.getDefaultInstance()
-        : instance_;
-  }
-  /**
-   *
-   *
-   * <pre>
-   * User's input instance.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-   * </code>
-   */
-  @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-          .TextSentimentPredictionInstanceOrBuilder
-      getInstanceOrBuilder() {
-    return getInstance();
-  }
-
-  public static final int PREDICTION_FIELD_NUMBER = 2;
-  private com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-          .TextSentimentPredictionResult.Prediction
-      prediction_;
-  /**
-   *
-   *
-   * <pre>
-   * The prediction result.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-   * </code>
-   *
-   * @return Whether the prediction field is set.
-   */
-  @java.lang.Override
-  public boolean hasPrediction() {
-    return prediction_ != null;
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+        .TextSentimentPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_descriptor;
   }
-  /**
-   *
-   *
-   * <pre>
-   * The prediction result.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-   * </code>
-   *
-   * @return The prediction.
-   */
+
   @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-          .Prediction
-      getPrediction() {
-    return prediction_ == null
-        ? com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction.getDefaultInstance()
-        : prediction_;
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+        .TextSentimentPredictionResultProto
+        .internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+                .TextSentimentPredictionResult.class,
+            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
+                .TextSentimentPredictionResult.Builder.class);
   }
+
+  public static final int SENTIMENT_FIELD_NUMBER = 1;
+  private int sentiment_;
   /**
    *
    *
    * <pre>
-   * The prediction result.
+   * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+   * (inclusive), while 0 maps to the least positive sentiment and
+   * sentimentMax maps to the most positive one. The higher the score is, the
+   * more positive the sentiment in the text snippet is. Note: sentimentMax is
+   * an integer value between 1 (inclusive) and 10 (inclusive).
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-   * </code>
+   * <code>int32 sentiment = 1;</code>
+   *
+   * @return The sentiment.
    */
   @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-          .PredictionOrBuilder
-      getPredictionOrBuilder() {
-    return getPrediction();
+  public int getSentiment() {
+    return sentiment_;
   }
 
   private byte memoizedIsInitialized = -1;
@@ -928,11 +148,8 @@ public final boolean isInitialized() {
 
   @java.lang.Override
   public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
-    if (instance_ != null) {
-      output.writeMessage(1, getInstance());
-    }
-    if (prediction_ != null) {
-      output.writeMessage(2, getPrediction());
+    if (sentiment_ != 0) {
+      output.writeInt32(1, sentiment_);
     }
     unknownFields.writeTo(output);
   }
@@ -943,11 +160,8 @@ public int getSerializedSize() {
     if (size != -1) return size;
 
     size = 0;
-    if (instance_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getInstance());
-    }
-    if (prediction_ != null) {
-      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getPrediction());
+    if (sentiment_ != 0) {
+      size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentiment_);
     }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
@@ -971,14 +185,7 @@ public boolean equals(final java.lang.Object obj) {
                     .TextSentimentPredictionResult)
                 obj;
 
-    if (hasInstance() != other.hasInstance()) return false;
-    if (hasInstance()) {
-      if (!getInstance().equals(other.getInstance())) return false;
-    }
-    if (hasPrediction() != other.hasPrediction()) return false;
-    if (hasPrediction()) {
-      if (!getPrediction().equals(other.getPrediction())) return false;
-    }
+    if (getSentiment() != other.getSentiment()) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -990,14 +197,8 @@ public int hashCode() {
     }
     int hash = 41;
     hash = (19 * hash) + getDescriptor().hashCode();
-    if (hasInstance()) {
-      hash = (37 * hash) + INSTANCE_FIELD_NUMBER;
-      hash = (53 * hash) + getInstance().hashCode();
-    }
-    if (hasPrediction()) {
-      hash = (37 * hash) + PREDICTION_FIELD_NUMBER;
-      hash = (53 * hash) + getPrediction().hashCode();
-    }
+    hash = (37 * hash) + SENTIMENT_FIELD_NUMBER;
+    hash = (53 * hash) + getSentiment();
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1122,8 +323,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * <pre>
-   * Represents a line of JSONL in the text sentiment batch prediction output
-   * file. This is a hack to allow printing of integer values.
+   * Prediction output format for Text Sentiment
    * </pre>
    *
    * Protobuf type {@code
@@ -1171,18 +371,8 @@ private void maybeForceBuilderInitialization() {
     @java.lang.Override
     public Builder clear() {
       super.clear();
-      if (instanceBuilder_ == null) {
-        instance_ = null;
-      } else {
-        instance_ = null;
-        instanceBuilder_ = null;
-      }
-      if (predictionBuilder_ == null) {
-        prediction_ = null;
-      } else {
-        prediction_ = null;
-        predictionBuilder_ = null;
-      }
+      sentiment_ = 0;
+
       return this;
     }
 
@@ -1221,16 +411,7 @@ public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
           result =
               new com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
                   .TextSentimentPredictionResult(this);
-      if (instanceBuilder_ == null) {
-        result.instance_ = instance_;
-      } else {
-        result.instance_ = instanceBuilder_.build();
-      }
-      if (predictionBuilder_ == null) {
-        result.prediction_ = prediction_;
-      } else {
-        result.prediction_ = predictionBuilder_.build();
-      }
+      result.sentiment_ = sentiment_;
       onBuilt();
       return result;
     }
@@ -1290,11 +471,8 @@ public Builder mergeFrom(
       if (other
           == com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
               .TextSentimentPredictionResult.getDefaultInstance()) return this;
-      if (other.hasInstance()) {
-        mergeInstance(other.getInstance());
-      }
-      if (other.hasPrediction()) {
-        mergePrediction(other.getPrediction());
+      if (other.getSentiment() != 0) {
+        setSentiment(other.getSentiment());
       }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
@@ -1329,466 +507,68 @@ public Builder mergeFrom(
       return this;
     }
 
-    private com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-            .TextSentimentPredictionInstance
-        instance_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                .TextSentimentPredictionInstance,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                .TextSentimentPredictionInstance.Builder,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                .TextSentimentPredictionInstanceOrBuilder>
-        instanceBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * User's input instance.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
-     *
-     * @return Whether the instance field is set.
-     */
-    public boolean hasInstance() {
-      return instanceBuilder_ != null || instance_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * User's input instance.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
-     *
-     * @return The instance.
-     */
-    public com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-            .TextSentimentPredictionInstance
-        getInstance() {
-      if (instanceBuilder_ == null) {
-        return instance_ == null
-            ? com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                .TextSentimentPredictionInstance.getDefaultInstance()
-            : instance_;
-      } else {
-        return instanceBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * User's input instance.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
-     */
-    public Builder setInstance(
-        com.google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance
-            value) {
-      if (instanceBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        instance_ = value;
-        onChanged();
-      } else {
-        instanceBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
+    private int sentiment_;
     /**
      *
      *
      * <pre>
-     * User's input instance.
+     * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+     * (inclusive), while 0 maps to the least positive sentiment and
+     * sentimentMax maps to the most positive one. The higher the score is, the
+     * more positive the sentiment in the text snippet is. Note: sentimentMax is
+     * an integer value between 1 (inclusive) and 10 (inclusive).
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
-     */
-    public Builder setInstance(
-        com.google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance
-                .Builder
-            builderForValue) {
-      if (instanceBuilder_ == null) {
-        instance_ = builderForValue.build();
-        onChanged();
-      } else {
-        instanceBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * User's input instance.
-     * </pre>
+     * <code>int32 sentiment = 1;</code>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
+     * @return The sentiment.
      */
-    public Builder mergeInstance(
-        com.google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance
-            value) {
-      if (instanceBuilder_ == null) {
-        if (instance_ != null) {
-          instance_ =
-              com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                  .TextSentimentPredictionInstance.newBuilder(instance_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          instance_ = value;
-        }
-        onChanged();
-      } else {
-        instanceBuilder_.mergeFrom(value);
-      }
-
-      return this;
+    @java.lang.Override
+    public int getSentiment() {
+      return sentiment_;
     }
     /**
      *
      *
      * <pre>
-     * User's input instance.
+     * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+     * (inclusive), while 0 maps to the least positive sentiment and
+     * sentimentMax maps to the most positive one. The higher the score is, the
+     * more positive the sentiment in the text snippet is. Note: sentimentMax is
+     * an integer value between 1 (inclusive) and 10 (inclusive).
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
-     */
-    public Builder clearInstance() {
-      if (instanceBuilder_ == null) {
-        instance_ = null;
-        onChanged();
-      } else {
-        instance_ = null;
-        instanceBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * User's input instance.
-     * </pre>
+     * <code>int32 sentiment = 1;</code>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
+     * @param value The sentiment to set.
+     * @return This builder for chaining.
      */
-    public com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-            .TextSentimentPredictionInstance.Builder
-        getInstanceBuilder() {
+    public Builder setSentiment(int value) {
 
+      sentiment_ = value;
       onChanged();
-      return getInstanceFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * User's input instance.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-            .TextSentimentPredictionInstanceOrBuilder
-        getInstanceOrBuilder() {
-      if (instanceBuilder_ != null) {
-        return instanceBuilder_.getMessageOrBuilder();
-      } else {
-        return instance_ == null
-            ? com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                .TextSentimentPredictionInstance.getDefaultInstance()
-            : instance_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * User's input instance.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-     * </code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                .TextSentimentPredictionInstance,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                .TextSentimentPredictionInstance.Builder,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                .TextSentimentPredictionInstanceOrBuilder>
-        getInstanceFieldBuilder() {
-      if (instanceBuilder_ == null) {
-        instanceBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                    .TextSentimentPredictionInstance,
-                com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                    .TextSentimentPredictionInstance.Builder,
-                com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                    .TextSentimentPredictionInstanceOrBuilder>(
-                getInstance(), getParentForChildren(), isClean());
-        instance_ = null;
-      }
-      return instanceBuilder_;
-    }
-
-    private com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        prediction_;
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Prediction,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Prediction.Builder,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.PredictionOrBuilder>
-        predictionBuilder_;
-    /**
-     *
-     *
-     * <pre>
-     * The prediction result.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
-     *
-     * @return Whether the prediction field is set.
-     */
-    public boolean hasPrediction() {
-      return predictionBuilder_ != null || prediction_ != null;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The prediction result.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
-     *
-     * @return The prediction.
-     */
-    public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction
-        getPrediction() {
-      if (predictionBuilder_ == null) {
-        return prediction_ == null
-            ? com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Prediction.getDefaultInstance()
-            : prediction_;
-      } else {
-        return predictionBuilder_.getMessage();
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The prediction result.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
-     */
-    public Builder setPrediction(
-        com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-                .Prediction
-            value) {
-      if (predictionBuilder_ == null) {
-        if (value == null) {
-          throw new NullPointerException();
-        }
-        prediction_ = value;
-        onChanged();
-      } else {
-        predictionBuilder_.setMessage(value);
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The prediction result.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
-     */
-    public Builder setPrediction(
-        com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-                .Prediction.Builder
-            builderForValue) {
-      if (predictionBuilder_ == null) {
-        prediction_ = builderForValue.build();
-        onChanged();
-      } else {
-        predictionBuilder_.setMessage(builderForValue.build());
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The prediction result.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
-     */
-    public Builder mergePrediction(
-        com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-                .Prediction
-            value) {
-      if (predictionBuilder_ == null) {
-        if (prediction_ != null) {
-          prediction_ =
-              com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                  .TextSentimentPredictionResult.Prediction.newBuilder(prediction_)
-                  .mergeFrom(value)
-                  .buildPartial();
-        } else {
-          prediction_ = value;
-        }
-        onChanged();
-      } else {
-        predictionBuilder_.mergeFrom(value);
-      }
-
       return this;
     }
     /**
      *
      *
      * <pre>
-     * The prediction result.
+     * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+     * (inclusive), while 0 maps to the least positive sentiment and
+     * sentimentMax maps to the most positive one. The higher the score is, the
+     * more positive the sentiment in the text snippet is. Note: sentimentMax is
+     * an integer value between 1 (inclusive) and 10 (inclusive).
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
-     */
-    public Builder clearPrediction() {
-      if (predictionBuilder_ == null) {
-        prediction_ = null;
-        onChanged();
-      } else {
-        prediction_ = null;
-        predictionBuilder_ = null;
-      }
-
-      return this;
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The prediction result.
-     * </pre>
+     * <code>int32 sentiment = 1;</code>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
+     * @return This builder for chaining.
      */
-    public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.Prediction.Builder
-        getPredictionBuilder() {
+    public Builder clearSentiment() {
 
+      sentiment_ = 0;
       onChanged();
-      return getPredictionFieldBuilder().getBuilder();
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The prediction result.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
-     */
-    public com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-            .TextSentimentPredictionResult.PredictionOrBuilder
-        getPredictionOrBuilder() {
-      if (predictionBuilder_ != null) {
-        return predictionBuilder_.getMessageOrBuilder();
-      } else {
-        return prediction_ == null
-            ? com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Prediction.getDefaultInstance()
-            : prediction_;
-      }
-    }
-    /**
-     *
-     *
-     * <pre>
-     * The prediction result.
-     * </pre>
-     *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-     * </code>
-     */
-    private com.google.protobuf.SingleFieldBuilderV3<
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Prediction,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.Prediction.Builder,
-            com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                .TextSentimentPredictionResult.PredictionOrBuilder>
-        getPredictionFieldBuilder() {
-      if (predictionBuilder_ == null) {
-        predictionBuilder_ =
-            new com.google.protobuf.SingleFieldBuilderV3<
-                com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                    .TextSentimentPredictionResult.Prediction,
-                com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                    .TextSentimentPredictionResult.Prediction.Builder,
-                com.google.cloud.aiplatform.v1beta1.schema.predict.prediction
-                    .TextSentimentPredictionResult.PredictionOrBuilder>(
-                getPrediction(), getParentForChildren(), isClean());
-        prediction_ = null;
-      }
-      return predictionBuilder_;
+      return this;
     }
 
     @java.lang.Override
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java
index 623808c17..4ea5d2cd0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultOrBuilder.java
@@ -27,88 +27,16 @@ public interface TextSentimentPredictionResultOrBuilder
    *
    *
    * <pre>
-   * User's input instance.
+   * The integer sentiment labels between 0 (inclusive) and sentimentMax label
+   * (inclusive), while 0 maps to the least positive sentiment and
+   * sentimentMax maps to the most positive one. The higher the score is, the
+   * more positive the sentiment in the text snippet is. Note: sentimentMax is
+   * an integer value between 1 (inclusive) and 10 (inclusive).
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-   * </code>
+   * <code>int32 sentiment = 1;</code>
    *
-   * @return Whether the instance field is set.
+   * @return The sentiment.
    */
-  boolean hasInstance();
-  /**
-   *
-   *
-   * <pre>
-   * User's input instance.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-   * </code>
-   *
-   * @return The instance.
-   */
-  com.google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance
-      getInstance();
-  /**
-   *
-   *
-   * <pre>
-   * User's input instance.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-          .TextSentimentPredictionInstanceOrBuilder
-      getInstanceOrBuilder();
-
-  /**
-   *
-   *
-   * <pre>
-   * The prediction result.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-   * </code>
-   *
-   * @return Whether the prediction field is set.
-   */
-  boolean hasPrediction();
-  /**
-   *
-   *
-   * <pre>
-   * The prediction result.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-   * </code>
-   *
-   * @return The prediction.
-   */
-  com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-          .Prediction
-      getPrediction();
-  /**
-   *
-   *
-   * <pre>
-   * The prediction result.
-   * </pre>
-   *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult.Prediction prediction = 2;
-   * </code>
-   */
-  com.google.cloud.aiplatform.v1beta1.schema.predict.prediction.TextSentimentPredictionResult
-          .PredictionOrBuilder
-      getPredictionOrBuilder();
+  int getSentiment();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultProto.java
index 8c0e1538b..1b074db41 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/TextSentimentPredictionResultProto.java
@@ -31,10 +31,6 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_fieldAccessorTable;
-  static final com.google.protobuf.Descriptors.Descriptor
-      internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_descriptor;
-  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
-      internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -47,29 +43,19 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\nNgoogle/cloud/aiplatform/v1beta1/schema"
           + "/predict/prediction/text_sentiment.proto"
           + "\0229google.cloud.aiplatform.v1beta1.schema"
-          + ".predict.prediction\032Lgoogle/cloud/aiplat"
-          + "form/v1beta1/schema/predict/instance/tex"
-          + "t_sentiment.proto\032\034google/api/annotation"
-          + "s.proto\"\245\002\n\035TextSentimentPredictionResul"
-          + "t\022j\n\010instance\030\001 \001(\0132X.google.cloud.aipla"
-          + "tform.v1beta1.schema.predict.instance.Te"
-          + "xtSentimentPredictionInstance\022w\n\npredict"
-          + "ion\030\002 \001(\0132c.google.cloud.aiplatform.v1be"
-          + "ta1.schema.predict.prediction.TextSentim"
-          + "entPredictionResult.Prediction\032\037\n\nPredic"
-          + "tion\022\021\n\tsentiment\030\001 \001(\005B\312\001\n=com.google.c"
-          + "loud.aiplatform.v1beta1.schema.predict.p"
-          + "redictionB\"TextSentimentPredictionResult"
-          + "ProtoP\001Zcgoogle.golang.org/genproto/goog"
-          + "leapis/cloud/aiplatform/v1beta1/schema/p"
-          + "redict/prediction;predictionb\006proto3"
+          + ".predict.prediction\032\034google/api/annotati"
+          + "ons.proto\"2\n\035TextSentimentPredictionResu"
+          + "lt\022\021\n\tsentiment\030\001 \001(\005B\312\001\n=com.google.clo"
+          + "ud.aiplatform.v1beta1.schema.predict.pre"
+          + "dictionB\"TextSentimentPredictionResultPr"
+          + "otoP\001Zcgoogle.golang.org/genproto/google"
+          + "apis/cloud/aiplatform/v1beta1/schema/pre"
+          + "dict/prediction;predictionb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
             descriptorData,
             new com.google.protobuf.Descriptors.FileDescriptor[] {
-              com.google.cloud.aiplatform.v1beta1.schema.predict.instance
-                  .TextSentimentPredictionInstanceProto.getDescriptor(),
               com.google.api.AnnotationsProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_descriptor =
@@ -77,21 +63,9 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_fieldAccessorTable =
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_descriptor,
-            new java.lang.String[] {
-              "Instance", "Prediction",
-            });
-    internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_descriptor =
-        internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_descriptor
-            .getNestedTypes()
-            .get(0);
-    internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_fieldAccessorTable =
-        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
-            internal_static_google_cloud_aiplatform_v1beta1_schema_predict_prediction_TextSentimentPredictionResult_Prediction_descriptor,
             new java.lang.String[] {
               "Sentiment",
             });
-    com.google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstanceProto
-        .getDescriptor();
     com.google.api.AnnotationsProto.getDescriptor();
   }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLForecastingProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLForecastingProto.java
index bfe702064..6d17c462a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLForecastingProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLForecastingProto.java
@@ -14,7 +14,8 @@
  * limitations under the License.
  */
 // Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
 
 package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
 
@@ -88,91 +89,92 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
 
   static {
     java.lang.String[] descriptorData = {
-      "\nVgoogle/cloud/aiplatform/v1beta1/schema"
-          + "/trainingjob/definition/automl_forecasti"
-          + "ng.proto\022=google.cloud.aiplatform.v1beta"
-          + "1.schema.trainingjob.definition\032fgoogle/"
-          + "cloud/aiplatform/v1beta1/schema/training"
-          + "job/definition/export_evaluated_data_ite"
-          + "ms_config.proto\032\034google/api/annotations."
-          + "proto\"\347\001\n\021AutoMlForecasting\022f\n\006inputs\030\001 "
-          + "\001(\0132V.google.cloud.aiplatform.v1beta1.sc"
-          + "hema.trainingjob.definition.AutoMlForeca"
-          + "stingInputs\022j\n\010metadata\030\002 \001(\0132X.google.c"
-          + "loud.aiplatform.v1beta1.schema.trainingj"
-          + "ob.definition.AutoMlForecastingMetadata\""
-          + "\206\024\n\027AutoMlForecastingInputs\022\025\n\rtarget_co"
-          + "lumn\030\001 \001(\t\022%\n\035time_series_identifier_col"
-          + "umn\030\002 \001(\t\022\023\n\013time_column\030\003 \001(\t\022~\n\017transf"
-          + "ormations\030\004 \003(\0132e.google.cloud.aiplatfor"
+      "\nbgoogle/cloud/aiplatform/v1beta1/schema"
+          + "/trainingjob/definition/automl_time_seri"
+          + "es_forecasting.proto\022=google.cloud.aipla"
+          + "tform.v1beta1.schema.trainingjob.definit"
+          + "ion\032fgoogle/cloud/aiplatform/v1beta1/sch"
+          + "ema/trainingjob/definition/export_evalua"
+          + "ted_data_items_config.proto\032\034google/api/"
+          + "annotations.proto\"\347\001\n\021AutoMlForecasting\022"
+          + "f\n\006inputs\030\001 \001(\0132V.google.cloud.aiplatfor"
           + "m.v1beta1.schema.trainingjob.definition."
-          + "AutoMlForecastingInputs.Transformation\022\036"
-          + "\n\026optimization_objective\030\005 \001(\t\022%\n\035train_"
-          + "budget_milli_node_hours\030\006 \001(\003\022\025\n\rweight_"
-          + "column\030\007 \001(\t\022\026\n\016static_columns\030\010 \003(\t\022&\n\036"
-          + "time_variant_past_only_columns\030\t \003(\t\022,\n$"
-          + "time_variant_past_and_future_columns\030\n \003"
-          + "(\t\022m\n\006period\030\013 \001(\0132].google.cloud.aiplat"
-          + "form.v1beta1.schema.trainingjob.definiti"
-          + "on.AutoMlForecastingInputs.Period\022\035\n\025for"
-          + "ecast_window_start\030\014 \001(\003\022\033\n\023forecast_win"
-          + "dow_end\030\r \001(\003\022\024\n\014past_horizon\030\016 \001(\003\022\211\001\n\""
-          + "export_evaluated_data_items_config\030\017 \001(\013"
-          + "2].google.cloud.aiplatform.v1beta1.schem"
-          + "a.trainingjob.definition.ExportEvaluated"
-          + "DataItemsConfig\032\324\r\n\016Transformation\022\210\001\n\004a"
-          + "uto\030\001 \001(\0132x.google.cloud.aiplatform.v1be"
-          + "ta1.schema.trainingjob.definition.AutoMl"
-          + "ForecastingInputs.Transformation.AutoTra"
-          + "nsformationH\000\022\216\001\n\007numeric\030\002 \001(\0132{.google"
-          + ".cloud.aiplatform.v1beta1.schema.trainin"
-          + "gjob.definition.AutoMlForecastingInputs."
-          + "Transformation.NumericTransformationH\000\022\226"
-          + "\001\n\013categorical\030\003 \001(\0132\177.google.cloud.aipl"
-          + "atform.v1beta1.schema.trainingjob.defini"
-          + "tion.AutoMlForecastingInputs.Transformat"
-          + "ion.CategoricalTransformationH\000\022\222\001\n\ttime"
-          + "stamp\030\004 \001(\0132}.google.cloud.aiplatform.v1"
-          + "beta1.schema.trainingjob.definition.Auto"
-          + "MlForecastingInputs.Transformation.Times"
-          + "tampTransformationH\000\022\210\001\n\004text\030\005 \001(\0132x.go"
-          + "ogle.cloud.aiplatform.v1beta1.schema.tra"
-          + "iningjob.definition.AutoMlForecastingInp"
-          + "uts.Transformation.TextTransformationH\000\022"
-          + "\235\001\n\020repeated_numeric\030\006 \001(\0132\200\001.google.clo"
+          + "AutoMlForecastingInputs\022j\n\010metadata\030\002 \001("
+          + "\0132X.google.cloud.aiplatform.v1beta1.sche"
+          + "ma.trainingjob.definition.AutoMlForecast"
+          + "ingMetadata\"\265\024\n\027AutoMlForecastingInputs\022"
+          + "\025\n\rtarget_column\030\001 \001(\t\022%\n\035time_series_id"
+          + "entifier_column\030\002 \001(\t\022\023\n\013time_column\030\003 \001"
+          + "(\t\022~\n\017transformations\030\004 \003(\0132e.google.clo"
           + "ud.aiplatform.v1beta1.schema.trainingjob"
           + ".definition.AutoMlForecastingInputs.Tran"
-          + "sformation.NumericArrayTransformationH\000\022"
-          + "\245\001\n\024repeated_categorical\030\007 \001(\0132\204\001.google"
-          + ".cloud.aiplatform.v1beta1.schema.trainin"
-          + "gjob.definition.AutoMlForecastingInputs."
-          + "Transformation.CategoricalArrayTransform"
-          + "ationH\000\022\226\001\n\rrepeated_text\030\010 \001(\0132}.google"
-          + ".cloud.aiplatform.v1beta1.schema.trainin"
-          + "gjob.definition.AutoMlForecastingInputs."
-          + "Transformation.TextArrayTransformationH\000"
-          + "\032)\n\022AutoTransformation\022\023\n\013column_name\030\001 "
-          + "\001(\t\032L\n\025NumericTransformation\022\023\n\013column_n"
-          + "ame\030\001 \001(\t\022\036\n\026invalid_values_allowed\030\002 \001("
-          + "\010\0320\n\031CategoricalTransformation\022\023\n\013column"
-          + "_name\030\001 \001(\t\032c\n\027TimestampTransformation\022\023"
-          + "\n\013column_name\030\001 \001(\t\022\023\n\013time_format\030\002 \001(\t"
-          + "\022\036\n\026invalid_values_allowed\030\003 \001(\010\032)\n\022Text"
-          + "Transformation\022\023\n\013column_name\030\001 \001(\t\032Q\n\032N"
-          + "umericArrayTransformation\022\023\n\013column_name"
-          + "\030\001 \001(\t\022\036\n\026invalid_values_allowed\030\002 \001(\010\0325"
-          + "\n\036CategoricalArrayTransformation\022\023\n\013colu"
-          + "mn_name\030\001 \001(\t\032.\n\027TextArrayTransformation"
-          + "\022\023\n\013column_name\030\001 \001(\tB\027\n\025transformation_"
-          + "detail\032(\n\006Period\022\014\n\004unit\030\001 \001(\t\022\020\n\010quanti"
-          + "ty\030\002 \001(\003\"@\n\031AutoMlForecastingMetadata\022#\n"
-          + "\033train_cost_milli_node_hours\030\001 \001(\003B\306\001\nAc"
-          + "om.google.cloud.aiplatform.v1beta1.schem"
-          + "a.trainingjob.definitionB\026AutoMLForecast"
-          + "ingProtoP\001Zggoogle.golang.org/genproto/g"
-          + "oogleapis/cloud/aiplatform/v1beta1/schem"
-          + "a/trainingjob/definition;definitionb\006pro"
-          + "to3"
+          + "sformation\022\036\n\026optimization_objective\030\005 \001"
+          + "(\t\022%\n\035train_budget_milli_node_hours\030\006 \001("
+          + "\003\022\025\n\rweight_column\030\007 \001(\t\022\026\n\016static_colum"
+          + "ns\030\010 \003(\t\022&\n\036time_variant_past_only_colum"
+          + "ns\030\t \003(\t\022,\n$time_variant_past_and_future"
+          + "_columns\030\n \003(\t\022m\n\006period\030\013 \001(\0132].google."
+          + "cloud.aiplatform.v1beta1.schema.training"
+          + "job.definition.AutoMlForecastingInputs.P"
+          + "eriod\022\035\n\025forecast_window_start\030\014 \001(\003\022\033\n\023"
+          + "forecast_window_end\030\r \001(\003\022\024\n\014past_horizo"
+          + "n\030\016 \001(\003\022\211\001\n\"export_evaluated_data_items_"
+          + "config\030\017 \001(\0132].google.cloud.aiplatform.v"
+          + "1beta1.schema.trainingjob.definition.Exp"
+          + "ortEvaluatedDataItemsConfig\022\021\n\tquantiles"
+          + "\030\020 \003(\001\022\032\n\022validation_options\030\021 \001(\t\032\324\r\n\016T"
+          + "ransformation\022\210\001\n\004auto\030\001 \001(\0132x.google.cl"
+          + "oud.aiplatform.v1beta1.schema.trainingjo"
+          + "b.definition.AutoMlForecastingInputs.Tra"
+          + "nsformation.AutoTransformationH\000\022\216\001\n\007num"
+          + "eric\030\002 \001(\0132{.google.cloud.aiplatform.v1b"
+          + "eta1.schema.trainingjob.definition.AutoM"
+          + "lForecastingInputs.Transformation.Numeri"
+          + "cTransformationH\000\022\226\001\n\013categorical\030\003 \001(\0132"
+          + "\177.google.cloud.aiplatform.v1beta1.schema"
+          + ".trainingjob.definition.AutoMlForecastin"
+          + "gInputs.Transformation.CategoricalTransf"
+          + "ormationH\000\022\222\001\n\ttimestamp\030\004 \001(\0132}.google."
+          + "cloud.aiplatform.v1beta1.schema.training"
+          + "job.definition.AutoMlForecastingInputs.T"
+          + "ransformation.TimestampTransformationH\000\022"
+          + "\210\001\n\004text\030\005 \001(\0132x.google.cloud.aiplatform"
+          + ".v1beta1.schema.trainingjob.definition.A"
+          + "utoMlForecastingInputs.Transformation.Te"
+          + "xtTransformationH\000\022\235\001\n\020repeated_numeric\030"
+          + "\006 \001(\0132\200\001.google.cloud.aiplatform.v1beta1"
+          + ".schema.trainingjob.definition.AutoMlFor"
+          + "ecastingInputs.Transformation.NumericArr"
+          + "ayTransformationH\000\022\245\001\n\024repeated_categori"
+          + "cal\030\007 \001(\0132\204\001.google.cloud.aiplatform.v1b"
+          + "eta1.schema.trainingjob.definition.AutoM"
+          + "lForecastingInputs.Transformation.Catego"
+          + "ricalArrayTransformationH\000\022\226\001\n\rrepeated_"
+          + "text\030\010 \001(\0132}.google.cloud.aiplatform.v1b"
+          + "eta1.schema.trainingjob.definition.AutoM"
+          + "lForecastingInputs.Transformation.TextAr"
+          + "rayTransformationH\000\032)\n\022AutoTransformatio"
+          + "n\022\023\n\013column_name\030\001 \001(\t\032L\n\025NumericTransfo"
+          + "rmation\022\023\n\013column_name\030\001 \001(\t\022\036\n\026invalid_"
+          + "values_allowed\030\002 \001(\010\0320\n\031CategoricalTrans"
+          + "formation\022\023\n\013column_name\030\001 \001(\t\032c\n\027Timest"
+          + "ampTransformation\022\023\n\013column_name\030\001 \001(\t\022\023"
+          + "\n\013time_format\030\002 \001(\t\022\036\n\026invalid_values_al"
+          + "lowed\030\003 \001(\010\032)\n\022TextTransformation\022\023\n\013col"
+          + "umn_name\030\001 \001(\t\032Q\n\032NumericArrayTransforma"
+          + "tion\022\023\n\013column_name\030\001 \001(\t\022\036\n\026invalid_val"
+          + "ues_allowed\030\002 \001(\010\0325\n\036CategoricalArrayTra"
+          + "nsformation\022\023\n\013column_name\030\001 \001(\t\032.\n\027Text"
+          + "ArrayTransformation\022\023\n\013column_name\030\001 \001(\t"
+          + "B\027\n\025transformation_detail\032(\n\006Period\022\014\n\004u"
+          + "nit\030\001 \001(\t\022\020\n\010quantity\030\002 \001(\003\"@\n\031AutoMlFor"
+          + "ecastingMetadata\022#\n\033train_cost_milli_nod"
+          + "e_hours\030\001 \001(\003B\306\001\nAcom.google.cloud.aipla"
+          + "tform.v1beta1.schema.trainingjob.definit"
+          + "ionB\026AutoMLForecastingProtoP\001Zggoogle.go"
+          + "lang.org/genproto/googleapis/cloud/aipla"
+          + "tform/v1beta1/schema/trainingjob/definit"
+          + "ion;definitionb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -211,6 +213,8 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "ForecastWindowEnd",
               "PastHorizon",
               "ExportEvaluatedDataItemsConfig",
+              "Quantiles",
+              "ValidationOptions",
             });
     internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_Transformation_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlForecastingInputs_descriptor
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java
index 57280f26b..b1bfcd239 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLImageSegmentationProto.java
@@ -60,28 +60,28 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "Inputs\022p\n\010metadata\030\002 \001(\0132^.google.cloud."
           + "aiplatform.v1beta1.schema.trainingjob.de"
           + "finition.AutoMlImageSegmentationMetadata"
-          + "\"\261\002\n\035AutoMlImageSegmentationInputs\022z\n\nmo"
+          + "\"\316\002\n\035AutoMlImageSegmentationInputs\022z\n\nmo"
           + "del_type\030\001 \001(\0162f.google.cloud.aiplatform"
           + ".v1beta1.schema.trainingjob.definition.A"
           + "utoMlImageSegmentationInputs.ModelType\022\037"
           + "\n\027budget_milli_node_hours\030\002 \001(\003\022\025\n\rbase_"
-          + "model_id\030\003 \001(\t\"\\\n\tModelType\022\032\n\026MODEL_TYP"
+          + "model_id\030\003 \001(\t\"y\n\tModelType\022\032\n\026MODEL_TYP"
           + "E_UNSPECIFIED\020\000\022\031\n\025CLOUD_HIGH_ACCURACY_1"
-          + "\020\001\022\030\n\024CLOUD_LOW_ACCURACY_1\020\002\"\277\002\n\037AutoMlI"
-          + "mageSegmentationMetadata\022\035\n\025cost_milli_n"
-          + "ode_hours\030\001 \001(\003\022\223\001\n\026successful_stop_reas"
-          + "on\030\002 \001(\0162s.google.cloud.aiplatform.v1bet"
-          + "a1.schema.trainingjob.definition.AutoMlI"
-          + "mageSegmentationMetadata.SuccessfulStopR"
-          + "eason\"g\n\024SuccessfulStopReason\022&\n\"SUCCESS"
-          + "FUL_STOP_REASON_UNSPECIFIED\020\000\022\022\n\016BUDGET_"
-          + "REACHED\020\001\022\023\n\017MODEL_CONVERGED\020\002B\314\001\nAcom.g"
-          + "oogle.cloud.aiplatform.v1beta1.schema.tr"
-          + "ainingjob.definitionB\034AutoMLImageSegment"
-          + "ationProtoP\001Zggoogle.golang.org/genproto"
-          + "/googleapis/cloud/aiplatform/v1beta1/sch"
-          + "ema/trainingjob/definition;definitionb\006p"
-          + "roto3"
+          + "\020\001\022\030\n\024CLOUD_LOW_ACCURACY_1\020\002\022\033\n\027MOBILE_T"
+          + "F_LOW_LATENCY_1\020\003\"\277\002\n\037AutoMlImageSegment"
+          + "ationMetadata\022\035\n\025cost_milli_node_hours\030\001"
+          + " \001(\003\022\223\001\n\026successful_stop_reason\030\002 \001(\0162s."
+          + "google.cloud.aiplatform.v1beta1.schema.t"
+          + "rainingjob.definition.AutoMlImageSegment"
+          + "ationMetadata.SuccessfulStopReason\"g\n\024Su"
+          + "ccessfulStopReason\022&\n\"SUCCESSFUL_STOP_RE"
+          + "ASON_UNSPECIFIED\020\000\022\022\n\016BUDGET_REACHED\020\001\022\023"
+          + "\n\017MODEL_CONVERGED\020\002B\314\001\nAcom.google.cloud"
+          + ".aiplatform.v1beta1.schema.trainingjob.d"
+          + "efinitionB\034AutoMLImageSegmentationProtoP"
+          + "\001Zggoogle.golang.org/genproto/googleapis"
+          + "/cloud/aiplatform/v1beta1/schema/trainin"
+          + "gjob/definition;definitionb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java
index 42e5320e8..040f4bc36 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMLVideoClassificationProto.java
@@ -53,18 +53,19 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "lVideoClassification\022n\n\006inputs\030\001 \001(\0132^.g"
           + "oogle.cloud.aiplatform.v1beta1.schema.tr"
           + "ainingjob.definition.AutoMlVideoClassifi"
-          + "cationInputs\"\353\001\n\037AutoMlVideoClassificati"
+          + "cationInputs\"\212\002\n\037AutoMlVideoClassificati"
           + "onInputs\022|\n\nmodel_type\030\001 \001(\0162h.google.cl"
           + "oud.aiplatform.v1beta1.schema.trainingjo"
           + "b.definition.AutoMlVideoClassificationIn"
-          + "puts.ModelType\"J\n\tModelType\022\032\n\026MODEL_TYP"
+          + "puts.ModelType\"i\n\tModelType\022\032\n\026MODEL_TYP"
           + "E_UNSPECIFIED\020\000\022\t\n\005CLOUD\020\001\022\026\n\022MOBILE_VER"
-          + "SATILE_1\020\002B\316\001\nAcom.google.cloud.aiplatfo"
-          + "rm.v1beta1.schema.trainingjob.definition"
-          + "B\036AutoMLVideoClassificationProtoP\001Zggoog"
-          + "le.golang.org/genproto/googleapis/cloud/"
-          + "aiplatform/v1beta1/schema/trainingjob/de"
-          + "finition;definitionb\006proto3"
+          + "SATILE_1\020\002\022\035\n\031MOBILE_JETSON_VERSATILE_1\020"
+          + "\003B\316\001\nAcom.google.cloud.aiplatform.v1beta"
+          + "1.schema.trainingjob.definitionB\036AutoMLV"
+          + "ideoClassificationProtoP\001Zggoogle.golang"
+          + ".org/genproto/googleapis/cloud/aiplatfor"
+          + "m/v1beta1/schema/trainingjob/definition;"
+          + "definitionb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecasting.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecasting.java
index a665f4d99..3b1455031 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecasting.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecasting.java
@@ -14,7 +14,8 @@
  * limitations under the License.
  */
 // Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
 
 package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingInputs.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingInputs.java
index f5563cd03..b368666f6 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingInputs.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingInputs.java
@@ -14,7 +14,8 @@
  * limitations under the License.
  */
 // Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
 
 package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
 
@@ -42,6 +43,8 @@ private AutoMlForecastingInputs() {
     staticColumns_ = com.google.protobuf.LazyStringArrayList.EMPTY;
     timeVariantPastOnlyColumns_ = com.google.protobuf.LazyStringArrayList.EMPTY;
     timeVariantPastAndFutureColumns_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    quantiles_ = emptyDoubleList();
+    validationOptions_ = "";
   }
 
   @java.lang.Override
@@ -213,6 +216,36 @@ private AutoMlForecastingInputs(
                 exportEvaluatedDataItemsConfig_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 129:
+            {
+              if (!((mutable_bitField0_ & 0x00000010) != 0)) {
+                quantiles_ = newDoubleList();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              quantiles_.addDouble(input.readDouble());
+              break;
+            }
+          case 130:
+            {
+              int length = input.readRawVarint32();
+              int limit = input.pushLimit(length);
+              if (!((mutable_bitField0_ & 0x00000010) != 0) && input.getBytesUntilLimit() > 0) {
+                quantiles_ = newDoubleList();
+                mutable_bitField0_ |= 0x00000010;
+              }
+              while (input.getBytesUntilLimit() > 0) {
+                quantiles_.addDouble(input.readDouble());
+              }
+              input.popLimit(limit);
+              break;
+            }
+          case 138:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              validationOptions_ = s;
               break;
             }
           default:
@@ -241,6 +274,9 @@ private AutoMlForecastingInputs(
       if (((mutable_bitField0_ & 0x00000008) != 0)) {
         timeVariantPastAndFutureColumns_ = timeVariantPastAndFutureColumns_.getUnmodifiableView();
       }
+      if (((mutable_bitField0_ & 0x00000010) != 0)) {
+        quantiles_.makeImmutable(); // C
+      }
       this.unknownFields = unknownFields.build();
       makeExtensionsImmutable();
     }
@@ -9897,6 +9933,7 @@ public interface PeriodOrBuilder
      * <pre>
      * The time granularity unit of this time period.
      * The supported unit are:
+     *  "minute"
      *  "hour"
      *  "day"
      *  "week"
@@ -9915,6 +9952,7 @@ public interface PeriodOrBuilder
      * <pre>
      * The time granularity unit of this time period.
      * The supported unit are:
+     *  "minute"
      *  "hour"
      *  "day"
      *  "week"
@@ -10052,6 +10090,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      * <pre>
      * The time granularity unit of this time period.
      * The supported unit are:
+     *  "minute"
      *  "hour"
      *  "day"
      *  "week"
@@ -10081,6 +10120,7 @@ public java.lang.String getUnit() {
      * <pre>
      * The time granularity unit of this time period.
      * The supported unit are:
+     *  "minute"
      *  "hour"
      *  "day"
      *  "week"
@@ -10529,6 +10569,7 @@ public Builder mergeFrom(
        * <pre>
        * The time granularity unit of this time period.
        * The supported unit are:
+       *  "minute"
        *  "hour"
        *  "day"
        *  "week"
@@ -10557,6 +10598,7 @@ public java.lang.String getUnit() {
        * <pre>
        * The time granularity unit of this time period.
        * The supported unit are:
+       *  "minute"
        *  "hour"
        *  "day"
        *  "week"
@@ -10585,6 +10627,7 @@ public com.google.protobuf.ByteString getUnitBytes() {
        * <pre>
        * The time granularity unit of this time period.
        * The supported unit are:
+       *  "minute"
        *  "hour"
        *  "day"
        *  "week"
@@ -10612,6 +10655,7 @@ public Builder setUnit(java.lang.String value) {
        * <pre>
        * The time granularity unit of this time period.
        * The supported unit are:
+       *  "minute"
        *  "hour"
        *  "day"
        *  "week"
@@ -10635,6 +10679,7 @@ public Builder clearUnit() {
        * <pre>
        * The time granularity unit of this time period.
        * The supported unit are:
+       *  "minute"
        *  "hour"
        *  "day"
        *  "week"
@@ -11040,6 +11085,8 @@ public int getTransformationsCount() {
    *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
    *   "minimize-wape-mae" - Minimize the combination of weighted absolute
    *     percentage error (WAPE) and mean-absolute-error (MAE).
+   *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+   *     defined in `quantiles`.
    * </pre>
    *
    * <code>string optimization_objective = 5;</code>
@@ -11072,6 +11119,8 @@ public java.lang.String getOptimizationObjective() {
    *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
    *   "minimize-wape-mae" - Minimize the combination of weighted absolute
    *     percentage error (WAPE) and mean-absolute-error (MAE).
+   *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+   *     defined in `quantiles`.
    * </pre>
    *
    * <code>string optimization_objective = 5;</code>
@@ -11579,6 +11628,121 @@ public boolean hasExportEvaluatedDataItemsConfig() {
     return getExportEvaluatedDataItemsConfig();
   }
 
+  public static final int QUANTILES_FIELD_NUMBER = 16;
+  private com.google.protobuf.Internal.DoubleList quantiles_;
+  /**
+   *
+   *
+   * <pre>
+   * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+   * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+   * the value of optimization_objective is minimize-quantile-loss. Represents
+   * the percent quantiles to use for that objective. Quantiles must be unique.
+   * </pre>
+   *
+   * <code>repeated double quantiles = 16;</code>
+   *
+   * @return A list containing the quantiles.
+   */
+  @java.lang.Override
+  public java.util.List<java.lang.Double> getQuantilesList() {
+    return quantiles_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+   * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+   * the value of optimization_objective is minimize-quantile-loss. Represents
+   * the percent quantiles to use for that objective. Quantiles must be unique.
+   * </pre>
+   *
+   * <code>repeated double quantiles = 16;</code>
+   *
+   * @return The count of quantiles.
+   */
+  public int getQuantilesCount() {
+    return quantiles_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+   * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+   * the value of optimization_objective is minimize-quantile-loss. Represents
+   * the percent quantiles to use for that objective. Quantiles must be unique.
+   * </pre>
+   *
+   * <code>repeated double quantiles = 16;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The quantiles at the given index.
+   */
+  public double getQuantiles(int index) {
+    return quantiles_.getDouble(index);
+  }
+
+  private int quantilesMemoizedSerializedSize = -1;
+
+  public static final int VALIDATION_OPTIONS_FIELD_NUMBER = 17;
+  private volatile java.lang.Object validationOptions_;
+  /**
+   *
+   *
+   * <pre>
+   * Validation options for the data validation component. The available options
+   * are:
+   *   "fail-pipeline" - default, will validate against the validation and
+   *                     fail the pipeline if it fails.
+   *   "ignore-validation" - ignore the results of the validation and continue
+   * </pre>
+   *
+   * <code>string validation_options = 17;</code>
+   *
+   * @return The validationOptions.
+   */
+  @java.lang.Override
+  public java.lang.String getValidationOptions() {
+    java.lang.Object ref = validationOptions_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      validationOptions_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Validation options for the data validation component. The available options
+   * are:
+   *   "fail-pipeline" - default, will validate against the validation and
+   *                     fail the pipeline if it fails.
+   *   "ignore-validation" - ignore the results of the validation and continue
+   * </pre>
+   *
+   * <code>string validation_options = 17;</code>
+   *
+   * @return The bytes for validationOptions.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getValidationOptionsBytes() {
+    java.lang.Object ref = validationOptions_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      validationOptions_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -11593,6 +11757,7 @@ public final boolean isInitialized() {
 
   @java.lang.Override
   public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    getSerializedSize();
     if (!getTargetColumnBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 1, targetColumn_);
     }
@@ -11640,6 +11805,16 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (exportEvaluatedDataItemsConfig_ != null) {
       output.writeMessage(15, getExportEvaluatedDataItemsConfig());
     }
+    if (getQuantilesList().size() > 0) {
+      output.writeUInt32NoTag(130);
+      output.writeUInt32NoTag(quantilesMemoizedSerializedSize);
+    }
+    for (int i = 0; i < quantiles_.size(); i++) {
+      output.writeDoubleNoTag(quantiles_.getDouble(i));
+    }
+    if (!getValidationOptionsBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 17, validationOptions_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -11712,6 +11887,19 @@ public int getSerializedSize() {
           com.google.protobuf.CodedOutputStream.computeMessageSize(
               15, getExportEvaluatedDataItemsConfig());
     }
+    {
+      int dataSize = 0;
+      dataSize = 8 * getQuantilesList().size();
+      size += dataSize;
+      if (!getQuantilesList().isEmpty()) {
+        size += 2;
+        size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
+      }
+      quantilesMemoizedSerializedSize = dataSize;
+    }
+    if (!getValidationOptionsBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(17, validationOptions_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -11760,6 +11948,8 @@ public boolean equals(final java.lang.Object obj) {
       if (!getExportEvaluatedDataItemsConfig().equals(other.getExportEvaluatedDataItemsConfig()))
         return false;
     }
+    if (!getQuantilesList().equals(other.getQuantilesList())) return false;
+    if (!getValidationOptions().equals(other.getValidationOptions())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -11813,6 +12003,12 @@ public int hashCode() {
       hash = (37 * hash) + EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER;
       hash = (53 * hash) + getExportEvaluatedDataItemsConfig().hashCode();
     }
+    if (getQuantilesCount() > 0) {
+      hash = (37 * hash) + QUANTILES_FIELD_NUMBER;
+      hash = (53 * hash) + getQuantilesList().hashCode();
+    }
+    hash = (37 * hash) + VALIDATION_OPTIONS_FIELD_NUMBER;
+    hash = (53 * hash) + getValidationOptions().hashCode();
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -12023,6 +12219,10 @@ public Builder clear() {
         exportEvaluatedDataItemsConfig_ = null;
         exportEvaluatedDataItemsConfigBuilder_ = null;
       }
+      quantiles_ = emptyDoubleList();
+      bitField0_ = (bitField0_ & ~0x00000010);
+      validationOptions_ = "";
+
       return this;
     }
 
@@ -12102,6 +12302,12 @@ public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
       } else {
         result.exportEvaluatedDataItemsConfig_ = exportEvaluatedDataItemsConfigBuilder_.build();
       }
+      if (((bitField0_ & 0x00000010) != 0)) {
+        quantiles_.makeImmutable();
+        bitField0_ = (bitField0_ & ~0x00000010);
+      }
+      result.quantiles_ = quantiles_;
+      result.validationOptions_ = validationOptions_;
       onBuilt();
       return result;
     }
@@ -12256,6 +12462,20 @@ public Builder mergeFrom(
       if (other.hasExportEvaluatedDataItemsConfig()) {
         mergeExportEvaluatedDataItemsConfig(other.getExportEvaluatedDataItemsConfig());
       }
+      if (!other.quantiles_.isEmpty()) {
+        if (quantiles_.isEmpty()) {
+          quantiles_ = other.quantiles_;
+          bitField0_ = (bitField0_ & ~0x00000010);
+        } else {
+          ensureQuantilesIsMutable();
+          quantiles_.addAll(other.quantiles_);
+        }
+        onChanged();
+      }
+      if (!other.getValidationOptions().isEmpty()) {
+        validationOptions_ = other.validationOptions_;
+        onChanged();
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -13127,6 +13347,8 @@ public Builder removeTransformations(int index) {
      *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
      *   "minimize-wape-mae" - Minimize the combination of weighted absolute
      *     percentage error (WAPE) and mean-absolute-error (MAE).
+     *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+     *     defined in `quantiles`.
      * </pre>
      *
      * <code>string optimization_objective = 5;</code>
@@ -13158,6 +13380,8 @@ public java.lang.String getOptimizationObjective() {
      *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
      *   "minimize-wape-mae" - Minimize the combination of weighted absolute
      *     percentage error (WAPE) and mean-absolute-error (MAE).
+     *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+     *     defined in `quantiles`.
      * </pre>
      *
      * <code>string optimization_objective = 5;</code>
@@ -13189,6 +13413,8 @@ public com.google.protobuf.ByteString getOptimizationObjectiveBytes() {
      *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
      *   "minimize-wape-mae" - Minimize the combination of weighted absolute
      *     percentage error (WAPE) and mean-absolute-error (MAE).
+     *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+     *     defined in `quantiles`.
      * </pre>
      *
      * <code>string optimization_objective = 5;</code>
@@ -13219,6 +13445,8 @@ public Builder setOptimizationObjective(java.lang.String value) {
      *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
      *   "minimize-wape-mae" - Minimize the combination of weighted absolute
      *     percentage error (WAPE) and mean-absolute-error (MAE).
+     *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+     *     defined in `quantiles`.
      * </pre>
      *
      * <code>string optimization_objective = 5;</code>
@@ -13245,6 +13473,8 @@ public Builder clearOptimizationObjective() {
      *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
      *   "minimize-wape-mae" - Minimize the combination of weighted absolute
      *     percentage error (WAPE) and mean-absolute-error (MAE).
+     *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+     *     defined in `quantiles`.
      * </pre>
      *
      * <code>string optimization_objective = 5;</code>
@@ -14710,6 +14940,279 @@ public Builder clearExportEvaluatedDataItemsConfig() {
       return exportEvaluatedDataItemsConfigBuilder_;
     }
 
+    private com.google.protobuf.Internal.DoubleList quantiles_ = emptyDoubleList();
+
+    private void ensureQuantilesIsMutable() {
+      if (!((bitField0_ & 0x00000010) != 0)) {
+        quantiles_ = mutableCopy(quantiles_);
+        bitField0_ |= 0x00000010;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+     * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+     * the value of optimization_objective is minimize-quantile-loss. Represents
+     * the percent quantiles to use for that objective. Quantiles must be unique.
+     * </pre>
+     *
+     * <code>repeated double quantiles = 16;</code>
+     *
+     * @return A list containing the quantiles.
+     */
+    public java.util.List<java.lang.Double> getQuantilesList() {
+      return ((bitField0_ & 0x00000010) != 0)
+          ? java.util.Collections.unmodifiableList(quantiles_)
+          : quantiles_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+     * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+     * the value of optimization_objective is minimize-quantile-loss. Represents
+     * the percent quantiles to use for that objective. Quantiles must be unique.
+     * </pre>
+     *
+     * <code>repeated double quantiles = 16;</code>
+     *
+     * @return The count of quantiles.
+     */
+    public int getQuantilesCount() {
+      return quantiles_.size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+     * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+     * the value of optimization_objective is minimize-quantile-loss. Represents
+     * the percent quantiles to use for that objective. Quantiles must be unique.
+     * </pre>
+     *
+     * <code>repeated double quantiles = 16;</code>
+     *
+     * @param index The index of the element to return.
+     * @return The quantiles at the given index.
+     */
+    public double getQuantiles(int index) {
+      return quantiles_.getDouble(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+     * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+     * the value of optimization_objective is minimize-quantile-loss. Represents
+     * the percent quantiles to use for that objective. Quantiles must be unique.
+     * </pre>
+     *
+     * <code>repeated double quantiles = 16;</code>
+     *
+     * @param index The index to set the value at.
+     * @param value The quantiles to set.
+     * @return This builder for chaining.
+     */
+    public Builder setQuantiles(int index, double value) {
+      ensureQuantilesIsMutable();
+      quantiles_.setDouble(index, value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+     * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+     * the value of optimization_objective is minimize-quantile-loss. Represents
+     * the percent quantiles to use for that objective. Quantiles must be unique.
+     * </pre>
+     *
+     * <code>repeated double quantiles = 16;</code>
+     *
+     * @param value The quantiles to add.
+     * @return This builder for chaining.
+     */
+    public Builder addQuantiles(double value) {
+      ensureQuantilesIsMutable();
+      quantiles_.addDouble(value);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+     * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+     * the value of optimization_objective is minimize-quantile-loss. Represents
+     * the percent quantiles to use for that objective. Quantiles must be unique.
+     * </pre>
+     *
+     * <code>repeated double quantiles = 16;</code>
+     *
+     * @param values The quantiles to add.
+     * @return This builder for chaining.
+     */
+    public Builder addAllQuantiles(java.lang.Iterable<? extends java.lang.Double> values) {
+      ensureQuantilesIsMutable();
+      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, quantiles_);
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+     * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+     * the value of optimization_objective is minimize-quantile-loss. Represents
+     * the percent quantiles to use for that objective. Quantiles must be unique.
+     * </pre>
+     *
+     * <code>repeated double quantiles = 16;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearQuantiles() {
+      quantiles_ = emptyDoubleList();
+      bitField0_ = (bitField0_ & ~0x00000010);
+      onChanged();
+      return this;
+    }
+
+    private java.lang.Object validationOptions_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Validation options for the data validation component. The available options
+     * are:
+     *   "fail-pipeline" - default, will validate against the validation and
+     *                     fail the pipeline if it fails.
+     *   "ignore-validation" - ignore the results of the validation and continue
+     * </pre>
+     *
+     * <code>string validation_options = 17;</code>
+     *
+     * @return The validationOptions.
+     */
+    public java.lang.String getValidationOptions() {
+      java.lang.Object ref = validationOptions_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        validationOptions_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Validation options for the data validation component. The available options
+     * are:
+     *   "fail-pipeline" - default, will validate against the validation and
+     *                     fail the pipeline if it fails.
+     *   "ignore-validation" - ignore the results of the validation and continue
+     * </pre>
+     *
+     * <code>string validation_options = 17;</code>
+     *
+     * @return The bytes for validationOptions.
+     */
+    public com.google.protobuf.ByteString getValidationOptionsBytes() {
+      java.lang.Object ref = validationOptions_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        validationOptions_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Validation options for the data validation component. The available options
+     * are:
+     *   "fail-pipeline" - default, will validate against the validation and
+     *                     fail the pipeline if it fails.
+     *   "ignore-validation" - ignore the results of the validation and continue
+     * </pre>
+     *
+     * <code>string validation_options = 17;</code>
+     *
+     * @param value The validationOptions to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValidationOptions(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      validationOptions_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Validation options for the data validation component. The available options
+     * are:
+     *   "fail-pipeline" - default, will validate against the validation and
+     *                     fail the pipeline if it fails.
+     *   "ignore-validation" - ignore the results of the validation and continue
+     * </pre>
+     *
+     * <code>string validation_options = 17;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearValidationOptions() {
+
+      validationOptions_ = getDefaultInstance().getValidationOptions();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Validation options for the data validation component. The available options
+     * are:
+     *   "fail-pipeline" - default, will validate against the validation and
+     *                     fail the pipeline if it fails.
+     *   "ignore-validation" - ignore the results of the validation and continue
+     * </pre>
+     *
+     * <code>string validation_options = 17;</code>
+     *
+     * @param value The bytes for validationOptions to set.
+     * @return This builder for chaining.
+     */
+    public Builder setValidationOptionsBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      validationOptions_ = value;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingInputsOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingInputsOrBuilder.java
index 38b60f5e6..9c459d2ab 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingInputsOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingInputsOrBuilder.java
@@ -14,7 +14,8 @@
  * limitations under the License.
  */
 // Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
 
 package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
 
@@ -199,6 +200,8 @@ public interface AutoMlForecastingInputsOrBuilder
    *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
    *   "minimize-wape-mae" - Minimize the combination of weighted absolute
    *     percentage error (WAPE) and mean-absolute-error (MAE).
+   *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+   *     defined in `quantiles`.
    * </pre>
    *
    * <code>string optimization_objective = 5;</code>
@@ -220,6 +223,8 @@ public interface AutoMlForecastingInputsOrBuilder
    *   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
    *   "minimize-wape-mae" - Minimize the combination of weighted absolute
    *     percentage error (WAPE) and mean-absolute-error (MAE).
+   *   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+   *     defined in `quantiles`.
    * </pre>
    *
    * <code>string optimization_objective = 5;</code>
@@ -607,4 +612,84 @@ public interface AutoMlForecastingInputsOrBuilder
   com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
           .ExportEvaluatedDataItemsConfigOrBuilder
       getExportEvaluatedDataItemsConfigOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+   * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+   * the value of optimization_objective is minimize-quantile-loss. Represents
+   * the percent quantiles to use for that objective. Quantiles must be unique.
+   * </pre>
+   *
+   * <code>repeated double quantiles = 16;</code>
+   *
+   * @return A list containing the quantiles.
+   */
+  java.util.List<java.lang.Double> getQuantilesList();
+  /**
+   *
+   *
+   * <pre>
+   * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+   * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+   * the value of optimization_objective is minimize-quantile-loss. Represents
+   * the percent quantiles to use for that objective. Quantiles must be unique.
+   * </pre>
+   *
+   * <code>repeated double quantiles = 16;</code>
+   *
+   * @return The count of quantiles.
+   */
+  int getQuantilesCount();
+  /**
+   *
+   *
+   * <pre>
+   * Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+   * 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+   * the value of optimization_objective is minimize-quantile-loss. Represents
+   * the percent quantiles to use for that objective. Quantiles must be unique.
+   * </pre>
+   *
+   * <code>repeated double quantiles = 16;</code>
+   *
+   * @param index The index of the element to return.
+   * @return The quantiles at the given index.
+   */
+  double getQuantiles(int index);
+
+  /**
+   *
+   *
+   * <pre>
+   * Validation options for the data validation component. The available options
+   * are:
+   *   "fail-pipeline" - default, will validate against the validation and
+   *                     fail the pipeline if it fails.
+   *   "ignore-validation" - ignore the results of the validation and continue
+   * </pre>
+   *
+   * <code>string validation_options = 17;</code>
+   *
+   * @return The validationOptions.
+   */
+  java.lang.String getValidationOptions();
+  /**
+   *
+   *
+   * <pre>
+   * Validation options for the data validation component. The available options
+   * are:
+   *   "fail-pipeline" - default, will validate against the validation and
+   *                     fail the pipeline if it fails.
+   *   "ignore-validation" - ignore the results of the validation and continue
+   * </pre>
+   *
+   * <code>string validation_options = 17;</code>
+   *
+   * @return The bytes for validationOptions.
+   */
+  com.google.protobuf.ByteString getValidationOptionsBytes();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadata.java
index fda30ff72..9075b6c28 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadata.java
@@ -14,7 +14,8 @@
  * limitations under the License.
  */
 // Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
 
 package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadataOrBuilder.java
index 15d24b694..9f67b746d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadataOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingMetadataOrBuilder.java
@@ -14,7 +14,8 @@
  * limitations under the License.
  */
 // Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
 
 package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingOrBuilder.java
index 6435aa1a8..4d3293a57 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlForecastingOrBuilder.java
@@ -14,7 +14,8 @@
  * limitations under the License.
  */
 // Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
+// source:
+// google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
 
 package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java
index 488767233..c33574a72 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlImageSegmentationInputs.java
@@ -162,6 +162,20 @@ public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
      * <code>CLOUD_LOW_ACCURACY_1 = 2;</code>
      */
     CLOUD_LOW_ACCURACY_1(2),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * model and used on a mobile or edge device afterwards.
+     * Expected to have low latency, but may have lower prediction
+     * quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_LOW_LATENCY_1 = 3;</code>
+     */
+    MOBILE_TF_LOW_LATENCY_1(3),
     UNRECOGNIZED(-1),
     ;
 
@@ -198,6 +212,20 @@ public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
      * <code>CLOUD_LOW_ACCURACY_1 = 2;</code>
      */
     public static final int CLOUD_LOW_ACCURACY_1_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google
+     * Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+     * model and used on a mobile or edge device afterwards.
+     * Expected to have low latency, but may have lower prediction
+     * quality than other mobile models.
+     * </pre>
+     *
+     * <code>MOBILE_TF_LOW_LATENCY_1 = 3;</code>
+     */
+    public static final int MOBILE_TF_LOW_LATENCY_1_VALUE = 3;
 
     public final int getNumber() {
       if (this == UNRECOGNIZED) {
@@ -229,6 +257,8 @@ public static ModelType forNumber(int value) {
           return CLOUD_HIGH_ACCURACY_1;
         case 2:
           return CLOUD_LOW_ACCURACY_1;
+        case 3:
+          return MOBILE_TF_LOW_LATENCY_1;
         default:
           return null;
       }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java
index 36c98d0a4..9c53b92db 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/AutoMlVideoClassificationInputs.java
@@ -150,6 +150,18 @@ public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
      * <code>MOBILE_VERSATILE_1 = 2;</code>
      */
     MOBILE_VERSATILE_1(2),
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) to a Jetson device
+     * afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_JETSON_VERSATILE_1 = 3;</code>
+     */
+    MOBILE_JETSON_VERSATILE_1(3),
     UNRECOGNIZED(-1),
     ;
 
@@ -186,6 +198,18 @@ public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
      * <code>MOBILE_VERSATILE_1 = 2;</code>
      */
     public static final int MOBILE_VERSATILE_1_VALUE = 2;
+    /**
+     *
+     *
+     * <pre>
+     * A model that, in addition to being available within Google Cloud, can
+     * also be exported (see ModelService.ExportModel) to a Jetson device
+     * afterwards.
+     * </pre>
+     *
+     * <code>MOBILE_JETSON_VERSATILE_1 = 3;</code>
+     */
+    public static final int MOBILE_JETSON_VERSATILE_1_VALUE = 3;
 
     public final int getNumber() {
       if (this == UNRECOGNIZED) {
@@ -217,6 +241,8 @@ public static ModelType forNumber(int value) {
           return CLOUD;
         case 2:
           return MOBILE_VERSATILE_1;
+        case 3:
+          return MOBILE_JETSON_VERSATILE_1;
         default:
           return null;
       }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java
index a2a492203..6dbd823ae 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfig.java
@@ -129,8 +129,10 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * URI of desired destination BigQuery table. If not specified, then results
-   * are exported to the following auto-created BigQuery table:
+   * URI of desired destination BigQuery table. Expected format:
+   * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+   * If not specified, then results are exported to the following auto-created
+   * BigQuery table:
    * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
    * </pre>
    *
@@ -154,8 +156,10 @@ public java.lang.String getDestinationBigqueryUri() {
    *
    *
    * <pre>
-   * URI of desired destination BigQuery table. If not specified, then results
-   * are exported to the following auto-created BigQuery table:
+   * URI of desired destination BigQuery table. Expected format:
+   * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+   * If not specified, then results are exported to the following auto-created
+   * BigQuery table:
    * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
    * </pre>
    *
@@ -183,9 +187,8 @@ public com.google.protobuf.ByteString getDestinationBigqueryUriBytes() {
    *
    * <pre>
    * If true and an export destination is specified, then the contents of the
-   * destination will be overwritten. Otherwise, if the export destination
-   * already exists, then the export operation will not trigger and a failure
-   * response is returned.
+   * destination are overwritten. Otherwise, if the export destination already
+   * exists, then the export operation fails.
    * </pre>
    *
    * <code>bool override_existing_table = 2;</code>
@@ -596,8 +599,10 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * URI of desired destination BigQuery table. If not specified, then results
-     * are exported to the following auto-created BigQuery table:
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
      * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
      * </pre>
      *
@@ -620,8 +625,10 @@ public java.lang.String getDestinationBigqueryUri() {
      *
      *
      * <pre>
-     * URI of desired destination BigQuery table. If not specified, then results
-     * are exported to the following auto-created BigQuery table:
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
      * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
      * </pre>
      *
@@ -644,8 +651,10 @@ public com.google.protobuf.ByteString getDestinationBigqueryUriBytes() {
      *
      *
      * <pre>
-     * URI of desired destination BigQuery table. If not specified, then results
-     * are exported to the following auto-created BigQuery table:
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
      * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
      * </pre>
      *
@@ -667,8 +676,10 @@ public Builder setDestinationBigqueryUri(java.lang.String value) {
      *
      *
      * <pre>
-     * URI of desired destination BigQuery table. If not specified, then results
-     * are exported to the following auto-created BigQuery table:
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
      * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
      * </pre>
      *
@@ -686,8 +697,10 @@ public Builder clearDestinationBigqueryUri() {
      *
      *
      * <pre>
-     * URI of desired destination BigQuery table. If not specified, then results
-     * are exported to the following auto-created BigQuery table:
+     * URI of desired destination BigQuery table. Expected format:
+     * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+     * If not specified, then results are exported to the following auto-created
+     * BigQuery table:
      * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
      * </pre>
      *
@@ -713,9 +726,8 @@ public Builder setDestinationBigqueryUriBytes(com.google.protobuf.ByteString val
      *
      * <pre>
      * If true and an export destination is specified, then the contents of the
-     * destination will be overwritten. Otherwise, if the export destination
-     * already exists, then the export operation will not trigger and a failure
-     * response is returned.
+     * destination are overwritten. Otherwise, if the export destination already
+     * exists, then the export operation fails.
      * </pre>
      *
      * <code>bool override_existing_table = 2;</code>
@@ -731,9 +743,8 @@ public boolean getOverrideExistingTable() {
      *
      * <pre>
      * If true and an export destination is specified, then the contents of the
-     * destination will be overwritten. Otherwise, if the export destination
-     * already exists, then the export operation will not trigger and a failure
-     * response is returned.
+     * destination are overwritten. Otherwise, if the export destination already
+     * exists, then the export operation fails.
      * </pre>
      *
      * <code>bool override_existing_table = 2;</code>
@@ -752,9 +763,8 @@ public Builder setOverrideExistingTable(boolean value) {
      *
      * <pre>
      * If true and an export destination is specified, then the contents of the
-     * destination will be overwritten. Otherwise, if the export destination
-     * already exists, then the export operation will not trigger and a failure
-     * response is returned.
+     * destination are overwritten. Otherwise, if the export destination already
+     * exists, then the export operation fails.
      * </pre>
      *
      * <code>bool override_existing_table = 2;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java
index ba79190bf..50c3d1acb 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/ExportEvaluatedDataItemsConfigOrBuilder.java
@@ -28,8 +28,10 @@ public interface ExportEvaluatedDataItemsConfigOrBuilder
    *
    *
    * <pre>
-   * URI of desired destination BigQuery table. If not specified, then results
-   * are exported to the following auto-created BigQuery table:
+   * URI of desired destination BigQuery table. Expected format:
+   * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+   * If not specified, then results are exported to the following auto-created
+   * BigQuery table:
    * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
    * </pre>
    *
@@ -42,8 +44,10 @@ public interface ExportEvaluatedDataItemsConfigOrBuilder
    *
    *
    * <pre>
-   * URI of desired destination BigQuery table. If not specified, then results
-   * are exported to the following auto-created BigQuery table:
+   * URI of desired destination BigQuery table. Expected format:
+   * bq://&lt;project_id&gt;:&lt;dataset_id&gt;:&lt;table&gt;
+   * If not specified, then results are exported to the following auto-created
+   * BigQuery table:
    * &lt;project_id&gt;:export_evaluated_examples_&lt;model_name&gt;_&lt;yyyy_MM_dd'T'HH_mm_ss_SSS'Z'&gt;.evaluated_examples
    * </pre>
    *
@@ -58,9 +62,8 @@ public interface ExportEvaluatedDataItemsConfigOrBuilder
    *
    * <pre>
    * If true and an export destination is specified, then the contents of the
-   * destination will be overwritten. Otherwise, if the export destination
-   * already exists, then the export operation will not trigger and a failure
-   * response is returned.
+   * destination are overwritten. Otherwise, if the export destination already
+   * exists, then the export operation fails.
    * </pre>
    *
    * <code>bool override_existing_table = 2;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto
index 520b36380..480b18689 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto
@@ -69,12 +69,17 @@ message TablesDatasetMetadata {
   }
 
   message GcsSource {
-    // Google Cloud Storage URI to a input file, only .csv file is supported.
+    // Cloud Storage URI of one or more files. Only CSV files are supported.
+    // The first line of the CSV file is used as the header.
+    // If there are multiple files, the header is the first line of
+    // the lexicographically first file, the other files must either
+    // contain the exact same header or omit the header.
     repeated string uri = 1;
   }
 
   message BigQuerySource {
     // The URI of a BigQuery table.
+    // e.g. bq://projectId.bqDatasetId.bqTableId
     string uri = 1;
   }
 
@@ -94,7 +99,11 @@ message TimeSeriesDatasetMetadata {
   }
 
   message GcsSource {
-    // Google Cloud Storage URI to a input file, only .csv file is supported.
+    // Cloud Storage URI of one or more files. Only CSV files are supported.
+    // The first line of the CSV file is used as the header.
+    // If there are multiple files, the header is the first line of
+    // the lexicographically first file, the other files must either
+    // contain the exact same header or omit the header.
     repeated string uri = 1;
   }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/io_format.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/io_format.proto
deleted file mode 100644
index 432057d12..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/io_format.proto
+++ /dev/null
@@ -1,480 +0,0 @@
-// Copyright 2020 Google LLC
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-syntax = "proto3";
-
-package google.cloud.aiplatform.v1beta1.schema;
-
-import "google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto";
-import "google/cloud/aiplatform/v1beta1/schema/geometry.proto";
-import "google/protobuf/duration.proto";
-import "google/protobuf/struct.proto";
-import "google/protobuf/wrappers.proto";
-import "google/api/annotations.proto";
-
-option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
-option java_multiple_files = true;
-option java_outer_classname = "IoFormatProto";
-option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
-
-// Prediction input format for Image Classification.
-message ImageClassificationPredictionInstance {
-  // The image bytes or GCS URI to make the prediction on.
-  string content = 1;
-
-  // The MIME type of the content of the image. Only the images in below listed
-  // MIME types are supported.
-  // - image/jpeg
-  // - image/gif
-  // - image/png
-  // - image/webp
-  // - image/bmp
-  // - image/tiff
-  // - image/vnd.microsoft.icon
-  string mime_type = 2;
-}
-
-// Prediction input format for Image Object Detection.
-message ImageObjectDetectionPredictionInstance {
-  // The image bytes or GCS URI to make the prediction on.
-  string content = 1;
-
-  // The MIME type of the content of the image. Only the images in below listed
-  // MIME types are supported.
-  // - image/jpeg
-  // - image/gif
-  // - image/png
-  // - image/webp
-  // - image/bmp
-  // - image/tiff
-  // - image/vnd.microsoft.icon
-  string mime_type = 2;
-}
-
-// Prediction input format for Image Segmentation.
-message ImageSegmentationPredictionInstance {
-  // The image bytes to make the predictions on.
-  string content = 1;
-
-  // The MIME type of the content of the image. Only the images in below listed
-  // MIME types are supported.
-  // - image/jpeg
-  // - image/png
-  string mime_type = 2;
-}
-
-// Prediction input format for Video Classification.
-message VideoClassificationPredictionInstance {
-  // The Google Cloud Storage location of the video on which to perform the
-  // prediction.
-  string content = 1;
-
-  // The MIME type of the content of the video. Only the following are
-  // supported: video/mp4 video/avi video/quicktime
-  string mime_type = 2;
-
-  // The beginning, inclusive, of the video's time segment on which to perform
-  // the prediction. Expressed as a number of seconds as measured from the
-  // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision.
-  string time_segment_start = 3;
-
-  // The end, exclusive, of the video's time segment on which to perform
-  // the prediction. Expressed as a number of seconds as measured from the
-  // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision, and "Infinity" is allowed, which means the
-  // end of the video.
-  string time_segment_end = 4;
-}
-
-// Prediction input format for Video Classification.
-message VideoObjectTrackingPredictionInstance {
-  // The Google Cloud Storage location of the video on which to perform the
-  // prediction.
-  string content = 1;
-
-  // The MIME type of the content of the video. Only the following are
-  // supported: video/mp4 video/avi video/quicktime
-  string mime_type = 2;
-
-  // The beginning, inclusive, of the video's time segment on which to perform
-  // the prediction. Expressed as a number of seconds as measured from the
-  // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision.
-  string time_segment_start = 3;
-
-  // The end, exclusive, of the video's time segment on which to perform
-  // the prediction. Expressed as a number of seconds as measured from the
-  // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision, and "Infinity" is allowed, which means the
-  // end of the video.
-  string time_segment_end = 4;
-}
-
-// Prediction input format for Video Action Recognition.
-message VideoActionRecognitionPredictionInstance {
-  // The Google Cloud Storage location of the video on which to perform the
-  // prediction.
-  string content = 1;
-
-  // The MIME type of the content of the video. Only the following are
-  // supported: video/mp4 video/avi video/quicktime
-  string mime_type = 2;
-
-  // The beginning, inclusive, of the video's time segment on which to perform
-  // the prediction. Expressed as a number of seconds as measured from the
-  // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision.
-  string time_segment_start = 3;
-
-  // The end, exclusive, of the video's time segment on which to perform
-  // the prediction. Expressed as a number of seconds as measured from the
-  // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision, and "Infinity" is allowed, which means the
-  // end of the video.
-  string time_segment_end = 4;
-}
-
-// Prediction input format for Text Classification.
-message TextClassificationPredictionInstance {
-  // The text snippet to make the predictions on.
-  string content = 1;
-
-  // The MIME type of the text snippet. The supported MIME types are listed
-  // below.
-  // - text/plain
-  string mime_type = 2;
-}
-
-// Prediction input format for Text Sentiment.
-message TextSentimentPredictionInstance {
-  // The text snippet to make the predictions on.
-  string content = 1;
-
-  // The MIME type of the text snippet. The supported MIME types are listed
-  // below.
-  // - text/plain
-  string mime_type = 2;
-}
-
-// Prediction input format for Text Extraction.
-message TextExtractionPredictionInstance {
-  // The text snippet to make the predictions on.
-  string content = 1;
-
-  // The MIME type of the text snippet. The supported MIME types are listed
-  // below.
-  // - text/plain
-  string mime_type = 2;
-
-  // This field is only used for batch prediction. If a key is provided, the
-  // batch prediction result will by mapped to this key. If omitted, then the
-  // batch prediction result will contain the entire input instance. AI Platform
-  // will not check if keys in the request are duplicates, so it is up to the
-  // caller to ensure the keys are unique.
-  string key = 3;
-}
-
-// Prediction model parameters for Image Classification.
-message ImageClassificationPredictionParams {
-  // The Model only returns predictions with at least this confidence score.
-  // Default value is 0.0
-  float confidence_threshold = 1;
-
-  // The Model only returns up to that many top, by confidence score,
-  // predictions per instance. If this number is very high, the Model may return
-  // fewer predictions. Default value is 10.
-  int32 max_predictions = 2;
-}
-
-// Prediction model parameters for Image Object Detection.
-message ImageObjectDetectionPredictionParams {
-  // The Model only returns predictions with at least this confidence score.
-  // Default value is 0.0
-  float confidence_threshold = 1;
-
-  // The Model only returns up to that many top, by confidence score,
-  // predictions per instance. Note that number of returned predictions is also
-  // limited by metadata's predictionsLimit. Default value is 10.
-  int32 max_predictions = 2;
-}
-
-// Prediction model parameters for Image Segmentation.
-message ImageSegmentationPredictionParams {
-  // When the model predicts category of pixels of the image, it will only
-  // provide predictions for pixels that it is at least this much confident
-  // about. All other pixels will be classified as background. Default value is
-  // 0.5.
-  float confidence_threshold = 1;
-}
-
-// Prediction model parameters for Video Classification.
-message VideoClassificationPredictionParams {
-  // The Model only returns predictions with at least this confidence score.
-  // Default value is 0.0
-  float confidence_threshold = 1;
-
-  // The Model only returns up to that many top, by confidence score,
-  // predictions per instance. If this number is very high, the Model may return
-  // fewer predictions. Default value is 10,000.
-  int32 max_predictions = 2;
-
-  // Set to true to request segment-level classification. AI Platform returns
-  // labels and their confidence scores for the entire time segment of the
-  // video that user specified in the input instance.
-  // Default value is true
-  bool segment_classification = 3;
-
-  // Set to true to request shot-level classification. AI Platform determines
-  // the boundaries for each camera shot in the entire time segment of the
-  // video that user specified in the input instance. AI Platform then
-  // returns labels and their confidence scores for each detected shot, along
-  // with the start and end time of the shot.
-  // WARNING: Model evaluation is not done for this classification type,
-  // the quality of it depends on the training data, but there are no metrics
-  // provided to describe that quality.
-  // Default value is false
-  bool shot_classification = 4;
-
-  // Set to true to request classification for a video at one-second intervals.
-  // AI Platform returns labels and their confidence scores for each second of
-  // the entire time segment of the video that user specified in the input
-  // WARNING: Model evaluation is not done for this classification type, the
-  // quality of it depends on the training data, but there are no metrics
-  // provided to describe that quality. Default value is false
-  bool one_sec_interval_classification = 5;
-}
-
-// Prediction model parameters for Video Object Tracking.
-message VideoObjectTrackingPredictionParams {
-  // The Model only returns predictions with at least this confidence score.
-  // Default value is 0.0
-  float confidence_threshold = 1;
-
-  // The model only returns up to that many top, by confidence score,
-  // predictions per frame of the video. If this number is very high, the
-  // Model may return fewer predictions per frame. Default value is 50.
-  int32 max_predictions = 2;
-
-  // Only bounding boxes with shortest edge at least that long as a relative
-  // value of video frame size are returned. Default value is 0.0.
-  float min_bounding_box_size = 3;
-}
-
-// Prediction model parameters for Video Action Recognition.
-message VideoActionRecognitionPredictionParams {
-  // The Model only returns predictions with at least this confidence score.
-  // Default value is 0.0
-  float confidence_threshold = 1;
-
-  // The model only returns up to that many top, by confidence score,
-  // predictions per frame of the video. If this number is very high, the
-  // Model may return fewer predictions per frame. Default value is 50.
-  int32 max_predictions = 2;
-}
-
-// Represents a line of JSONL in the batch prediction output file.
-message PredictionResult {
-  // Some identifier from the input so that the prediction can be mapped back to
-  // the input instance.
-  oneof input {
-    // User's input instance.
-    // Struct is used here instead of Any so that JsonFormat does not append an
-    // extra "@type" field when we convert the proto to JSON.
-    google.protobuf.Struct instance = 1;
-
-    // Optional user-provided key from the input instance.
-    string key = 2;
-  }
-
-  // The prediction result.
-  // Value is used here instead of Any so that JsonFormat does not append an
-  // extra "@type" field when we convert the proto to JSON and so we can
-  // represent array of objects.
-  google.protobuf.Value prediction = 3;
-}
-
-// Represents a line of JSONL in the text sentiment batch prediction output
-// file. This is a hack to allow printing of integer values.
-message TextSentimentPredictionResult {
-  // Prediction output format for Text Sentiment.
-  message Prediction {
-    // The integer sentiment labels between 0 (inclusive) and sentimentMax label
-    // (inclusive), while 0 maps to the least positive sentiment and
-    // sentimentMax maps to the most positive one. The higher the score is, the
-    // more positive the sentiment in the text snippet is. Note: sentimentMax is
-    // an integer value between 1 (inclusive) and 10 (inclusive).
-    int32 sentiment = 1;
-  }
-
-  // User's input instance.
-  TextSentimentPredictionInstance instance = 1;
-
-  // The prediction result.
-  Prediction prediction = 2;
-}
-
-// Prediction output format for Image Classification.
-message ClassificationPredictionResult {
-  // The resource IDs of the AnnotationSpecs that had been identified, ordered
-  // by the confidence score descendingly.
-  repeated int64 ids = 1;
-
-  // The display names of the AnnotationSpecs that had been identified, order
-  // matches the IDs.
-  repeated string display_names = 2;
-
-  // The Model's confidences in correctness of the predicted IDs, higher value
-  // means higher confidence. Order matches the Ids.
-  repeated float confidences = 3;
-}
-
-// Prediction output format for Image Object Detection.
-message ImageObjectDetectionPredictionResult {
-  // The resource IDs of the AnnotationSpecs that had been identified, ordered
-  // by the confidence score descendingly.
-  repeated int64 ids = 1;
-
-  // The display names of the AnnotationSpecs that had been identified, order
-  // matches the IDs.
-  repeated string display_names = 2;
-
-  // The Model's confidences in correctness of the predicted IDs, higher value
-  // means higher confidence. Order matches the Ids.
-  repeated float confidences = 3;
-
-  // Bounding boxes, i.e. the rectangles over the image, that pinpoint
-  // the found AnnotationSpecs. Given in order that matches the IDs. Each
-  // bounding box is an array of 4 numbers `xMin`, `xMax`, `yMin`, and
-  // `yMax`, which represent the extremal coordinates of the box. They are
-  // relative to the image size, and the point 0,0 is in the top left
-  // of the image.
-  repeated google.protobuf.ListValue bboxes = 4;
-}
-
-// Prediction output format for Video Classification.
-message VideoClassificationPredictionResult {
-  // The resource ID of the AnnotationSpec that had been identified.
-  string id = 1;
-
-  // The display name of the AnnotationSpec that had been identified.
-  string display_name = 2;
-
-  // The type of the prediction. The requested types can be configured
-  // via parameters. This will be one of
-  // - segment-classification
-  // - shot-classification
-  // - one-sec-interval-classification
-  string type = 3;
-
-  // The beginning, inclusive, of the video's time segment in which the
-  // AnnotationSpec has been identified. Expressed as a number of seconds as
-  // measured from the start of the video, with fractions up to a microsecond
-  // precision, and with "s" appended at the end. Note that for
-  // 'segment-classification' prediction type, this equals the original
-  // 'timeSegmentStart' from the input instance, for other types it is the
-  // start of a shot or a 1 second interval respectively.
-  google.protobuf.Duration time_segment_start = 4;
-
-  // The end, exclusive, of the video's time segment in which the
-  // AnnotationSpec has been identified. Expressed as a number of seconds as
-  // measured from the start of the video, with fractions up to a microsecond
-  // precision, and with "s" appended at the end. Note that for
-  // 'segment-classification' prediction type, this equals the original
-  // 'timeSegmentEnd' from the input instance, for other types it is the end
-  // of a shot or a 1 second interval respectively.
-  google.protobuf.Duration time_segment_end = 5;
-
-  // The Model's confidence in correction of this prediction, higher
-  // value means higher confidence.
-  google.protobuf.FloatValue confidence = 6;
-}
-
-// Prediction output format for Video Object Tracking.
-message VideoObjectTrackingPredictionResult {
-  // The fields `xMin`, `xMax`, `yMin`, and `yMax` refer to a bounding box,
-  // i.e. the rectangle over the video frame pinpointing the found
-  // AnnotationSpec. The coordinates are relative to the frame size, and the
-  // point 0,0 is in the top left of the frame.
-  message Frame {
-    // A time (frame) of a video in which the object has been detected.
-    // Expressed as a number of seconds as measured from the
-    // start of the video, with fractions up to a microsecond precision, and
-    // with "s" appended at the end.
-    google.protobuf.Duration time_offset = 1;
-
-    // The leftmost coordinate of the bounding box.
-    google.protobuf.FloatValue x_min = 2;
-
-    // The rightmost coordinate of the bounding box.
-    google.protobuf.FloatValue x_max = 3;
-
-    // The topmost coordinate of the bounding box.
-    google.protobuf.FloatValue y_min = 4;
-
-    // The bottommost coordinate of the bounding box.
-    google.protobuf.FloatValue y_max = 5;
-  }
-
-  // The resource ID of the AnnotationSpec that had been identified.
-  string id = 1;
-
-  // The display name of the AnnotationSpec that had been identified.
-  string display_name = 2;
-
-  // The beginning, inclusive, of the video's time segment in which the
-  // object instance has been detected. Expressed as a number of seconds as
-  // measured from the start of the video, with fractions up to a microsecond
-  // precision, and with "s" appended at the end.
-  google.protobuf.Duration time_segment_start = 3;
-
-  // The end, inclusive, of the video's time segment in which the
-  // object instance has been detected. Expressed as a number of seconds as
-  // measured from the start of the video, with fractions up to a microsecond
-  // precision, and with "s" appended at the end.
-  google.protobuf.Duration time_segment_end = 4;
-
-  // The Model's confidence in correction of this prediction, higher
-  // value means higher confidence.
-  google.protobuf.FloatValue confidence = 5;
-
-  // All of the frames of the video in which a single object instance has been
-  // detected. The bounding boxes in the frames identify the same object.
-  repeated Frame frames = 6;
-}
-
-// Prediction output format for Text Extraction.
-message TextExtractionPredictionResult {
-  // The resource IDs of the AnnotationSpecs that had been identified,
-  // ordered by the confidence score descendingly.
-  repeated int64 ids = 1;
-
-  // The display names of the AnnotationSpecs that had been identified,
-  // order matches the IDs.
-  repeated string display_names = 2;
-
-  // The start offsets, inclusive, of the text segment in which the
-  // AnnotationSpec has been identified. Expressed as a zero-based number
-  // of characters as measured from the start of the text snippet.
-  repeated int64 text_segment_start_offsets = 3;
-
-  // The end offsets, inclusive, of the text segment in which the
-  // AnnotationSpec has been identified. Expressed as a zero-based number
-  // of characters as measured from the start of the text snippet.
-  repeated int64 text_segment_end_offsets = 4;
-
-  // The Model's confidences in correctness of the predicted IDs, higher
-  // value means higher confidence. Order matches the Ids.
-  repeated float confidences = 5;
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_action_recognition.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_action_recognition.proto
index 6bd59b8f2..6fbe91668 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_action_recognition.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_action_recognition.proto
@@ -42,7 +42,7 @@ message VideoActionRecognitionPredictionInstance {
   // The end, exclusive, of the video's time segment on which to perform
   // the prediction. Expressed as a number of seconds as measured from the
   // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision, and "Infinity" is allowed, which means the
-  // end of the video.
+  // up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+  // means the end of the video.
   string time_segment_end = 4;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_classification.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_classification.proto
index 1f1cdbdcc..326770b26 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_classification.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_classification.proto
@@ -42,7 +42,7 @@ message VideoClassificationPredictionInstance {
   // The end, exclusive, of the video's time segment on which to perform
   // the prediction. Expressed as a number of seconds as measured from the
   // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision, and "Infinity" is allowed, which means the
-  // end of the video.
+  // up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+  // means the end of the video.
   string time_segment_end = 4;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_object_tracking.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_object_tracking.proto
index 53c34c952..75ce85de0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_object_tracking.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/video_object_tracking.proto
@@ -42,7 +42,7 @@ message VideoObjectTrackingPredictionInstance {
   // The end, exclusive, of the video's time segment on which to perform
   // the prediction. Expressed as a number of seconds as measured from the
   // start of the video, with "s" appended at the end. Fractions are allowed,
-  // up to a microsecond precision, and "Infinity" is allowed, which means the
-  // end of the video.
+  // up to a microsecond precision, and "inf" or "Infinity" is allowed, which
+  // means the end of the video.
   string time_segment_end = 4;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/image_segmentation.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/image_segmentation.proto
index 15997bb16..b48846ea8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/image_segmentation.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/image_segmentation.proto
@@ -31,12 +31,12 @@ message ImageSegmentationPredictionResult {
   // AnntoationSpec and the color can be found in model's metadata. The model
   // will choose the most likely category and if none of the categories reach
   // the confidence threshold, the pixel will be marked as background.
-  bytes category_mask = 1;
+  string category_mask = 1;
 
   // A one channel image which is encoded as an 8bit lossless PNG. The size of
   // the image will be the same as the original image. For a specific pixel,
   // darker color means less confidence in correctness of the cateogry in the
   // categoryMask for the corresponding pixel. Black means no confidence and
   // white means complete confidence.
-  bytes confidence_mask = 2;
+  string confidence_mask = 2;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/text_sentiment.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/text_sentiment.proto
index 08bf34f8b..58c51cfbf 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/text_sentiment.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/text_sentiment.proto
@@ -16,7 +16,6 @@ syntax = "proto3";
 
 package google.cloud.aiplatform.v1beta1.schema.predict.prediction;
 
-import "google/cloud/aiplatform/v1beta1/schema/predict/instance/text_sentiment.proto";
 import "google/api/annotations.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/prediction;prediction";
@@ -24,22 +23,12 @@ option java_multiple_files = true;
 option java_outer_classname = "TextSentimentPredictionResultProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.prediction";
 
-// Represents a line of JSONL in the text sentiment batch prediction output
-// file. This is a hack to allow printing of integer values.
+// Prediction output format for Text Sentiment
 message TextSentimentPredictionResult {
-  // Prediction output format for Text Sentiment.
-  message Prediction {
-    // The integer sentiment labels between 0 (inclusive) and sentimentMax label
-    // (inclusive), while 0 maps to the least positive sentiment and
-    // sentimentMax maps to the most positive one. The higher the score is, the
-    // more positive the sentiment in the text snippet is. Note: sentimentMax is
-    // an integer value between 1 (inclusive) and 10 (inclusive).
-    int32 sentiment = 1;
-  }
-
-  // User's input instance.
-  google.cloud.aiplatform.v1beta1.schema.predict.instance.TextSentimentPredictionInstance instance = 1;
-
-  // The prediction result.
-  Prediction prediction = 2;
+  // The integer sentiment labels between 0 (inclusive) and sentimentMax label
+  // (inclusive), while 0 maps to the least positive sentiment and
+  // sentimentMax maps to the most positive one. The higher the score is, the
+  // more positive the sentiment in the text snippet is. Note: sentimentMax is
+  // an integer value between 1 (inclusive) and 10 (inclusive).
+  int32 sentiment = 1;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/saved_query_metadata.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/saved_query_metadata.proto
deleted file mode 100644
index d59957567..000000000
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/saved_query_metadata.proto
+++ /dev/null
@@ -1,41 +0,0 @@
-// Copyright 2020 Google LLC
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-syntax = "proto3";
-
-package google.cloud.aiplatform.v1beta1.schema;
-
-import "google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto";
-import "google/api/annotations.proto";
-
-option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
-option java_multiple_files = true;
-option java_outer_classname = "SavedQueryMetadataProto";
-option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
-
-// The metadata of SavedQuery contains TextSentiment Annotations.
-message TextSentimentSavedQueryMetadata {
-  // The maximum sentiment of sentiment Anntoation in this SavedQuery.
-  int32 sentiment_max = 1;
-}
-
-message VisualInspectionClassificationLabelSavedQueryMetadata {
-  // Whether or not the classification label is multi_label.
-  bool multi_label = 1;
-}
-
-message VisualInspectionMaskSavedQueryMetadata {
-  // The mapping between color and AnnotationSpec for this SavedQuery.
-  repeated AnnotationSpecColor color_map = 2;
-}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_segmentation.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_segmentation.proto
index e6625da75..bd379eb07 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_segmentation.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_segmentation.proto
@@ -45,6 +45,13 @@ message AutoMlImageSegmentationInputs {
     // A model to be used via prediction calls to uCAIP API. Expected
     // to have a lower latency but relatively lower prediction quality.
     CLOUD_LOW_ACCURACY_1 = 2;
+
+    // A model that, in addition to being available within Google
+    // Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
+    // model and used on a mobile or edge device afterwards.
+    // Expected to have low latency, but may have lower prediction
+    // quality than other mobile models.
+    MOBILE_TF_LOW_LATENCY_1 = 3;
   }
 
   ModelType model_type = 1;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
similarity index 93%
rename from proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
rename to proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
index 6b0bacf1c..8098d18f7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto
@@ -182,6 +182,7 @@ message AutoMlForecastingInputs {
   message Period {
     // The time granularity unit of this time period.
     // The supported unit are:
+    //  "minute"
     //  "hour"
     //  "day"
     //  "week"
@@ -219,6 +220,8 @@ message AutoMlForecastingInputs {
   //   "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).
   //   "minimize-wape-mae" - Minimize the combination of weighted absolute
   //     percentage error (WAPE) and mean-absolute-error (MAE).
+  //   "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
+  //     defined in `quantiles`.
   string optimization_objective = 5;
 
   // Required. The train budget of creating this model, expressed in milli node
@@ -285,6 +288,19 @@ message AutoMlForecastingInputs {
   // Configuration for exporting test set predictions to a BigQuery table. If
   // this configuration is absent, then the export is not performed.
   ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;
+
+  // Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
+  // 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
+  // the value of optimization_objective is minimize-quantile-loss. Represents
+  // the percent quantiles to use for that objective. Quantiles must be unique.
+  repeated double quantiles = 16;
+
+  // Validation options for the data validation component. The available options
+  // are:
+  //   "fail-pipeline" - default, will validate against the validation and
+  //                     fail the pipeline if it fails.
+  //   "ignore-validation" - ignore the results of the validation and continue
+  string validation_options = 17;
 }
 
 // Model metadata specific to AutoML Forecasting.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_classification.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_classification.proto
index 5bb852d6d..772886d65 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_classification.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_classification.proto
@@ -42,6 +42,11 @@ message AutoMlVideoClassificationInputs {
     // also be exported (see ModelService.ExportModel) as a TensorFlow or
     // TensorFlow Lite model and used on a mobile or edge device afterwards.
     MOBILE_VERSATILE_1 = 2;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) to a Jetson device
+    // afterwards.
+    MOBILE_JETSON_VERSATILE_1 = 3;
   }
 
   ModelType model_type = 1;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
index 0125794bf..d9b9e4d83 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto
@@ -25,15 +25,17 @@ option java_package = "com.google.cloud.aiplatform.v1beta1.schema.trainingjob.de
 
 // Configuration for exporting test set predictions to a BigQuery table.
 message ExportEvaluatedDataItemsConfig {
-  // URI of desired destination BigQuery table. If not specified, then results
-  // are exported to the following auto-created BigQuery table:
+  // URI of desired destination BigQuery table. Expected format:
+  // bq://<project_id>:<dataset_id>:<table>
+  //
+  // If not specified, then results are exported to the following auto-created
+  // BigQuery table:
   //
   // <project_id>:export_evaluated_examples_<model_name>_<yyyy_MM_dd'T'HH_mm_ss_SSS'Z'>.evaluated_examples
   string destination_bigquery_uri = 1;
 
   // If true and an export destination is specified, then the contents of the
-  // destination will be overwritten. Otherwise, if the export destination
-  // already exists, then the export operation will not trigger and a failure
-  // response is returned.
+  // destination are overwritten. Otherwise, if the export destination already
+  // exists, then the export operation fails.
   bool override_existing_table = 2;
 }
diff --git a/synth.metadata b/synth.metadata
index 196e24392..a56cf8203 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -11,8 +11,8 @@
       "git": {
         "name": "googleapis",
         "remote": "https://github.com/googleapis/googleapis.git",
-        "sha": "ad3bb00ed7750cd0625b3a36e0e2eff29f778e4a",
-        "internalRef": "350067652"
+        "sha": "e8bc4471a88ac5f60defe3ed436f517174e59ba0",
+        "internalRef": "357800868"
       }
     },
     {
@@ -756,7 +756,6 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/geometry.proto",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/io_format.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_classification.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_object_detection.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_segmentation.proto",
@@ -783,8 +782,6 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/video_action_recognition.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/video_classification.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/predict/prediction/video_object_tracking.proto",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/saved_query_metadata.proto",
-    "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_forecasting.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_classification.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_object_detection.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_segmentation.proto",
@@ -792,6 +789,7 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_text_classification.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_text_extraction.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_text_sentiment.proto",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_action_recognition.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_classification.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_object_tracking.proto",

From db502e2fe0154e19df0af7ab23d7735ea6572aa1 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Wed, 24 Feb 2021 14:12:05 -0800
Subject: [PATCH 30/36] chore: regenerate README (#179)

This PR was generated using Autosynth. :rainbow:


<details><summary>Log from Synthtool</summary>

```
2021-02-24 22:05:49,888 synthtool [DEBUG] > Executing /root/.cache/synthtool/java-aiplatform/.github/readme/synth.py.
On branch autosynth-readme
nothing to commit, working tree clean
2021-02-24 22:05:51,559 synthtool [DEBUG] > Wrote metadata to .github/readme/synth.metadata/synth.metadata.

```
</details>

Full log will be available here:
https://source.cloud.google.com/results/invocations/cfbc1ed5-6cce-444e-bc57-dad9e269d5a9/targets

- [ ] To automatically regenerate this PR, check this box.
---
 .github/readme/synth.metadata/synth.metadata | 4 ++--
 README.md                                    | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/readme/synth.metadata/synth.metadata b/.github/readme/synth.metadata/synth.metadata
index 206b6a228..5560f2d22 100644
--- a/.github/readme/synth.metadata/synth.metadata
+++ b/.github/readme/synth.metadata/synth.metadata
@@ -4,14 +4,14 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "0d2f83472a4a622e4db3c4a07339ea8ed6777e9a"
+        "sha": "f1523a2be87331d2298d740da041eb5275fb4813"
       }
     },
     {
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "2414b817065726eae0bc525346c7e874f969369d"
+        "sha": "79ab0b44a2cc7d803d07c107f9faf07729fc4012"
       }
     }
   ]
diff --git a/README.md b/README.md
index d044a2378..ff99bbeae 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,7 @@ If you are using Maven without BOM, add this to your dependencies:
 
 If you are using Gradle 5.x or later, add this to your dependencies
 ```Groovy
-implementation platform('com.google.cloud:libraries-bom:16.4.0')
+implementation platform('com.google.cloud:libraries-bom:17.0.0')
 
 compile 'com.google.cloud:google-cloud-aiplatform'
 ```

From 43e69a4025d88eeaa80fb0341b76465baeb53367 Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Thu, 25 Feb 2021 20:40:16 +0100
Subject: [PATCH 31/36] build(deps): update dependency
 com.google.cloud:google-cloud-shared-config to v0.11.0 (#182)

[![WhiteSource Renovate](https://app.renovatebot.com/images/banner.svg)](https://renovatebot.com)

This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [com.google.cloud:google-cloud-shared-config](https://togithub.com/googleapis/java-shared-config) | `0.10.0` -> `0.11.0` | [![age](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-config/0.11.0/age-slim)](https://docs.renovatebot.com/merge-confidence/) | [![adoption](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-config/0.11.0/adoption-slim)](https://docs.renovatebot.com/merge-confidence/) | [![passing](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-config/0.11.0/compatibility-slim/0.10.0)](https://docs.renovatebot.com/merge-confidence/) | [![confidence](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-config/0.11.0/confidence-slim/0.10.0)](https://docs.renovatebot.com/merge-confidence/) |

---

### Release Notes

<details>
<summary>googleapis/java-shared-config</summary>

### [`v0.11.0`](https://togithub.com/googleapis/java-shared-config/blob/master/CHANGELOG.md#&#8203;0110-httpswwwgithubcomgoogleapisjava-shared-configcomparev0100v0110-2021-02-25)

[Compare Source](https://togithub.com/googleapis/java-shared-config/compare/v0.10.0...v0.11.0)

##### Features

-   migrate releases to the new Google Sonatype endpoint to address Sonatype errors. ([#&#8203;230](https://www.github.com/googleapis/java-shared-config/issues/230)) ([ff6a95f](https://www.github.com/googleapis/java-shared-config/commit/ff6a95f7b0d24a1c37c38ba8ac6c6624ee97cc15))

##### Dependencies

-   update dependency com.puppycrawl.tools:checkstyle to v8.40 ([#&#8203;221](https://www.github.com/googleapis/java-shared-config/issues/221)) ([d9b2d4a](https://www.github.com/googleapis/java-shared-config/commit/d9b2d4aab9a9bba1c2df6fcb52ac96ee8b001ad6))
-   update dependency org.apache.maven.plugins:maven-checkstyle-plugin to v3.1.2 ([#&#8203;219](https://www.github.com/googleapis/java-shared-config/issues/219)) ([f7c3f79](https://www.github.com/googleapis/java-shared-config/commit/f7c3f798ef8ad1bc59ae673c84fbdd9f93ee2413))

</details>

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/java-aiplatform).
---
 google-cloud-aiplatform-bom/pom.xml | 2 +-
 pom.xml                             | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/google-cloud-aiplatform-bom/pom.xml b/google-cloud-aiplatform-bom/pom.xml
index 2c6e0c895..e74c8f1ae 100644
--- a/google-cloud-aiplatform-bom/pom.xml
+++ b/google-cloud-aiplatform-bom/pom.xml
@@ -8,7 +8,7 @@
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-shared-config</artifactId>
-    <version>0.10.0</version>
+    <version>0.11.0</version>
   </parent>
 
   <name>Google AI Platform BOM</name>
diff --git a/pom.xml b/pom.xml
index 4e99208dd..623bc026c 100644
--- a/pom.xml
+++ b/pom.xml
@@ -14,7 +14,7 @@
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-shared-config</artifactId>
-    <version>0.10.0</version>
+    <version>0.11.0</version>
   </parent>
 
   <developers>

From 12b55607654e165fe0ff93bf66fbb159e90c8ff5 Mon Sep 17 00:00:00 2001
From: Yoshi Automation Bot <yoshi-automation@google.com>
Date: Thu, 25 Feb 2021 11:54:09 -0800
Subject: [PATCH 32/36] chore: regenerate README (#183)

This PR was generated using Autosynth. :rainbow:


<details><summary>Log from Synthtool</summary>

```
2021-02-25 19:44:18,801 synthtool [DEBUG] > Executing /root/.cache/synthtool/java-aiplatform/.github/readme/synth.py.
On branch autosynth-readme
nothing to commit, working tree clean
2021-02-25 19:44:20,401 synthtool [DEBUG] > Wrote metadata to .github/readme/synth.metadata/synth.metadata.

```
</details>

Full log will be available here:
https://source.cloud.google.com/results/invocations/5bba306d-6693-405a-a760-f2c7c5fb350a/targets

- [ ] To automatically regenerate this PR, check this box.
---
 .github/readme/synth.metadata/synth.metadata | 4 ++--
 README.md                                    | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/readme/synth.metadata/synth.metadata b/.github/readme/synth.metadata/synth.metadata
index 5560f2d22..b3cbc5caa 100644
--- a/.github/readme/synth.metadata/synth.metadata
+++ b/.github/readme/synth.metadata/synth.metadata
@@ -4,14 +4,14 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/java-aiplatform.git",
-        "sha": "f1523a2be87331d2298d740da041eb5275fb4813"
+        "sha": "43e69a4025d88eeaa80fb0341b76465baeb53367"
       }
     },
     {
       "git": {
         "name": "synthtool",
         "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "79ab0b44a2cc7d803d07c107f9faf07729fc4012"
+        "sha": "8c5628b86cfa8386de7b8fc1675e6b528b552d57"
       }
     }
   ]
diff --git a/README.md b/README.md
index ff99bbeae..e2017d681 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,7 @@ If you are using Maven without BOM, add this to your dependencies:
 
 If you are using Gradle 5.x or later, add this to your dependencies
 ```Groovy
-implementation platform('com.google.cloud:libraries-bom:17.0.0')
+implementation platform('com.google.cloud:libraries-bom:18.0.0')
 
 compile 'com.google.cloud:google-cloud-aiplatform'
 ```

From e79f59d4d46b7193eed00032b349b86c14213825 Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Fri, 26 Feb 2021 00:20:17 +0100
Subject: [PATCH 33/36] deps: update dependency
 com.google.cloud:google-cloud-shared-dependencies to v0.20.0 (#184)

[![WhiteSource Renovate](https://app.renovatebot.com/images/banner.svg)](https://renovatebot.com)

This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [com.google.cloud:google-cloud-shared-dependencies](https://togithub.com/googleapis/java-shared-dependencies) | `0.19.0` -> `0.20.0` | [![age](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-dependencies/0.20.0/age-slim)](https://docs.renovatebot.com/merge-confidence/) | [![adoption](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-dependencies/0.20.0/adoption-slim)](https://docs.renovatebot.com/merge-confidence/) | [![passing](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-dependencies/0.20.0/compatibility-slim/0.19.0)](https://docs.renovatebot.com/merge-confidence/) | [![confidence](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-shared-dependencies/0.20.0/confidence-slim/0.19.0)](https://docs.renovatebot.com/merge-confidence/) |

---

### Release Notes

<details>
<summary>googleapis/java-shared-dependencies</summary>

### [`v0.20.0`](https://togithub.com/googleapis/java-shared-dependencies/blob/master/CHANGELOG.md#&#8203;0200-httpswwwgithubcomgoogleapisjava-shared-dependenciescompare0190v0200-2021-02-25)

[Compare Source](https://togithub.com/googleapis/java-shared-dependencies/compare/v0.19.0...v0.20.0)

##### Dependencies

-   update dependency com.google.auth:google-auth-library-bom to v0.24.0 ([#&#8203;284](https://www.github.com/googleapis/java-shared-dependencies/issues/284)) ([5e4914c](https://www.github.com/googleapis/java-shared-dependencies/commit/5e4914cc4a8ccd41a219f150a7455da116d1594b))
-   update dependency com.google.http-client:google-http-client-bom to v1.39.0 ([#&#8203;288](https://www.github.com/googleapis/java-shared-dependencies/issues/288)) ([70bb862](https://www.github.com/googleapis/java-shared-dependencies/commit/70bb862029b840fbd99ba0109fa2b8f585812793))
-   update dependency com.google.protobuf:protobuf-bom to v3.15.1 ([#&#8203;282](https://www.github.com/googleapis/java-shared-dependencies/issues/282)) ([44283bd](https://www.github.com/googleapis/java-shared-dependencies/commit/44283bdfdc9288b4a8d16b6ed3a61541792d147e))
-   update dependency com.google.protobuf:protobuf-bom to v3.15.2 ([#&#8203;287](https://www.github.com/googleapis/java-shared-dependencies/issues/287)) ([bdae560](https://www.github.com/googleapis/java-shared-dependencies/commit/bdae5600f9033219ef8beb6c4d1c521fb062eaec))
-   update dependency io.grpc:grpc-bom to v1.36.0 ([#&#8203;285](https://www.github.com/googleapis/java-shared-dependencies/issues/285)) ([c59771b](https://www.github.com/googleapis/java-shared-dependencies/commit/c59771b2436ac1a4fbc92b48049900472dd6d3ff))
-   update gax.version to v1.62.0 ([#&#8203;291](https://www.github.com/googleapis/java-shared-dependencies/issues/291)) ([66bd070](https://www.github.com/googleapis/java-shared-dependencies/commit/66bd0702bd3deb64e0f6c73635e0ffd51a4d637e))
-   update google.common-protos.version to v2.1.0 ([#&#8203;289](https://www.github.com/googleapis/java-shared-dependencies/issues/289)) ([43c9f02](https://www.github.com/googleapis/java-shared-dependencies/commit/43c9f026b1fa82f38dcb93b902281c2559e82d8e))
-   update iam.version to v1.0.9 ([#&#8203;281](https://www.github.com/googleapis/java-shared-dependencies/issues/281)) ([ee44d0b](https://www.github.com/googleapis/java-shared-dependencies/commit/ee44d0b41e101931ccf5de2561dfcfcc9ff88b88))

</details>

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

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---
 pom.xml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pom.xml b/pom.xml
index 623bc026c..b1306453d 100644
--- a/pom.xml
+++ b/pom.xml
@@ -95,7 +95,7 @@
       <dependency>
         <groupId>com.google.cloud</groupId>
         <artifactId>google-cloud-shared-dependencies</artifactId>
-        <version>0.19.0</version>
+        <version>0.20.0</version>
         <type>pom</type>
         <scope>import</scope>
       </dependency>

From 74efed25aba13f526b3745baeb9b1146c3a6c357 Mon Sep 17 00:00:00 2001
From: WhiteSource Renovate <bot@renovateapp.com>
Date: Fri, 26 Feb 2021 18:42:42 +0100
Subject: [PATCH 34/36] deps: update dependency
 com.google.cloud:google-cloud-storage to v1.113.11 (#175)

[![WhiteSource Renovate](https://app.renovatebot.com/images/banner.svg)](https://renovatebot.com)

This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| [com.google.cloud:google-cloud-storage](https://togithub.com/googleapis/java-storage) | `1.113.10` -> `1.113.11` | [![age](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-storage/1.113.11/age-slim)](https://docs.renovatebot.com/merge-confidence/) | [![adoption](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-storage/1.113.11/adoption-slim)](https://docs.renovatebot.com/merge-confidence/) | [![passing](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-storage/1.113.11/compatibility-slim/1.113.10)](https://docs.renovatebot.com/merge-confidence/) | [![confidence](https://badges.renovateapi.com/packages/maven/com.google.cloud:google-cloud-storage/1.113.11/confidence-slim/1.113.10)](https://docs.renovatebot.com/merge-confidence/) |

---

### Release Notes

<details>
<summary>googleapis/java-storage</summary>

### [`v1.113.11`](https://togithub.com/googleapis/java-storage/blob/master/CHANGELOG.md#&#8203;111311-httpswwwgithubcomgoogleapisjava-storagecomparev111310v111311-2021-02-19)

[Compare Source](https://togithub.com/googleapis/java-storage/compare/v1.113.10...v1.113.11)

</details>

---

### Renovate configuration

:date: **Schedule**: At any time (no schedule defined).

:vertical_traffic_light: **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

:recycle: **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

:no_bell: **Ignore**: Close this PR and you won't be reminded about this update again.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/java-aiplatform).
---
 samples/install-without-bom/pom.xml | 2 +-
 samples/snapshot/pom.xml            | 2 +-
 samples/snippets/pom.xml            | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/samples/install-without-bom/pom.xml b/samples/install-without-bom/pom.xml
index 119ac0a66..317d5d9c0 100644
--- a/samples/install-without-bom/pom.xml
+++ b/samples/install-without-bom/pom.xml
@@ -35,7 +35,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.10</version>
+      <version>1.113.11</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>
diff --git a/samples/snapshot/pom.xml b/samples/snapshot/pom.xml
index 7891241b3..559c25e64 100644
--- a/samples/snapshot/pom.xml
+++ b/samples/snapshot/pom.xml
@@ -34,7 +34,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.10</version>
+      <version>1.113.11</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>
diff --git a/samples/snippets/pom.xml b/samples/snippets/pom.xml
index 8f8ef4037..6835b635d 100644
--- a/samples/snippets/pom.xml
+++ b/samples/snippets/pom.xml
@@ -33,7 +33,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-storage</artifactId>
-      <version>1.113.10</version>
+      <version>1.113.11</version>
     </dependency>
     <dependency>
       <groupId>com.google.protobuf</groupId>

From ea1afeba05cc830a30c27032e8b71b270183656e Mon Sep 17 00:00:00 2001
From: Eric Schmidt <erschmid@google.com>
Date: Fri, 26 Feb 2021 09:46:01 -0800
Subject: [PATCH 35/36] docs: updates prediction to new hostname (#173)

* docs: updates prediction to new hostname

* fix: disabling image object detection test

* fix: missing import
---
 .../main/java/aiplatform/PredictCustomTrainedModelSample.java   | 2 +-
 .../main/java/aiplatform/PredictImageClassificationSample.java  | 2 +-
 .../main/java/aiplatform/PredictImageObjectDetectionSample.java | 2 +-
 .../java/aiplatform/PredictTabularClassificationSample.java     | 2 +-
 .../main/java/aiplatform/PredictTabularRegressionSample.java    | 2 +-
 .../aiplatform/PredictTextClassificationSingleLabelSample.java  | 2 +-
 .../main/java/aiplatform/PredictTextEntityExtractionSample.java | 2 +-
 .../java/aiplatform/PredictTextSentimentAnalysisSample.java     | 2 +-
 .../java/aiplatform/PredictImageObjectDetectionSampleTest.java  | 2 ++
 9 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/samples/snippets/src/main/java/aiplatform/PredictCustomTrainedModelSample.java b/samples/snippets/src/main/java/aiplatform/PredictCustomTrainedModelSample.java
index f2eb37ffb..0bbe423a6 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictCustomTrainedModelSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictCustomTrainedModelSample.java
@@ -42,7 +42,7 @@ static void predictCustomTrainedModel(String project, String endpointId, String
       throws IOException {
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newBuilder()
-            .setEndpoint("us-central1-prediction-aiplatform.googleapis.com:443")
+            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
             .build();
 
     // Initialize client that will be used to send requests. This client only needs to be created
diff --git a/samples/snippets/src/main/java/aiplatform/PredictImageClassificationSample.java b/samples/snippets/src/main/java/aiplatform/PredictImageClassificationSample.java
index bfe6ba9b1..15519675f 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictImageClassificationSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictImageClassificationSample.java
@@ -49,7 +49,7 @@ static void predictImageClassification(String project, String fileName, String e
       throws IOException {
     PredictionServiceSettings settings =
         PredictionServiceSettings.newBuilder()
-            .setEndpoint("us-central1-prediction-aiplatform.googleapis.com:443")
+            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
             .build();
 
     // Initialize client that will be used to send requests. This client only needs to be created
diff --git a/samples/snippets/src/main/java/aiplatform/PredictImageObjectDetectionSample.java b/samples/snippets/src/main/java/aiplatform/PredictImageObjectDetectionSample.java
index cc765ed43..da8d4b8d7 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictImageObjectDetectionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictImageObjectDetectionSample.java
@@ -50,7 +50,7 @@ static void predictImageObjectDetection(String project, String fileName, String
       throws IOException {
     PredictionServiceSettings settings =
         PredictionServiceSettings.newBuilder()
-            .setEndpoint("us-central1-prediction-aiplatform.googleapis.com:443")
+            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
             .build();
 
     // Initialize client that will be used to send requests. This client only needs to be created
diff --git a/samples/snippets/src/main/java/aiplatform/PredictTabularClassificationSample.java b/samples/snippets/src/main/java/aiplatform/PredictTabularClassificationSample.java
index 869cfd24d..f5c42327c 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictTabularClassificationSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictTabularClassificationSample.java
@@ -44,7 +44,7 @@ static void predictTabularClassification(String instance, String project, String
       throws IOException {
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newBuilder()
-            .setEndpoint("us-central1-prediction-aiplatform.googleapis.com:443")
+            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
             .build();
 
     // Initialize client that will be used to send requests. This client only needs to be created
diff --git a/samples/snippets/src/main/java/aiplatform/PredictTabularRegressionSample.java b/samples/snippets/src/main/java/aiplatform/PredictTabularRegressionSample.java
index c1a8127c6..fd5ec9e68 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictTabularRegressionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictTabularRegressionSample.java
@@ -44,7 +44,7 @@ static void predictTabularRegression(String instance, String project, String end
       throws IOException {
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newBuilder()
-            .setEndpoint("us-central1-prediction-aiplatform.googleapis.com:443")
+            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
             .build();
 
     // Initialize client that will be used to send requests. This client only needs to be created
diff --git a/samples/snippets/src/main/java/aiplatform/PredictTextClassificationSingleLabelSample.java b/samples/snippets/src/main/java/aiplatform/PredictTextClassificationSingleLabelSample.java
index 75a4c9fe2..e8989906c 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictTextClassificationSingleLabelSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictTextClassificationSingleLabelSample.java
@@ -44,7 +44,7 @@ static void predictTextClassificationSingleLabel(
       String project, String content, String endpointId) throws IOException {
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newBuilder()
-            .setEndpoint("us-central1-prediction-aiplatform.googleapis.com:443")
+            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
             .build();
 
     // Initialize client that will be used to send requests. This client only needs to be created
diff --git a/samples/snippets/src/main/java/aiplatform/PredictTextEntityExtractionSample.java b/samples/snippets/src/main/java/aiplatform/PredictTextEntityExtractionSample.java
index 8fc26611a..6995e34b2 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictTextEntityExtractionSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictTextEntityExtractionSample.java
@@ -46,7 +46,7 @@ static void predictTextEntityExtraction(String project, String content, String e
       throws IOException {
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newBuilder()
-            .setEndpoint("us-central1-prediction-aiplatform.googleapis.com:443")
+            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
             .build();
 
     // Initialize client that will be used to send requests. This client only needs to be created
diff --git a/samples/snippets/src/main/java/aiplatform/PredictTextSentimentAnalysisSample.java b/samples/snippets/src/main/java/aiplatform/PredictTextSentimentAnalysisSample.java
index 8ac212a26..2a24388c0 100644
--- a/samples/snippets/src/main/java/aiplatform/PredictTextSentimentAnalysisSample.java
+++ b/samples/snippets/src/main/java/aiplatform/PredictTextSentimentAnalysisSample.java
@@ -43,7 +43,7 @@ static void predictTextSentimentAnalysis(String project, String content, String
       throws IOException {
     PredictionServiceSettings predictionServiceSettings =
         PredictionServiceSettings.newBuilder()
-            .setEndpoint("us-central1-prediction-aiplatform.googleapis.com:443")
+            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
             .build();
 
     // Initialize client that will be used to send requests. This client only needs to be created
diff --git a/samples/snippets/src/test/java/aiplatform/PredictImageObjectDetectionSampleTest.java b/samples/snippets/src/test/java/aiplatform/PredictImageObjectDetectionSampleTest.java
index d9f1ebbd6..a7d3a16ee 100644
--- a/samples/snippets/src/test/java/aiplatform/PredictImageObjectDetectionSampleTest.java
+++ b/samples/snippets/src/test/java/aiplatform/PredictImageObjectDetectionSampleTest.java
@@ -25,6 +25,7 @@
 import org.junit.After;
 import org.junit.Before;
 import org.junit.BeforeClass;
+import org.junit.Ignore;
 import org.junit.Test;
 
 public class PredictImageObjectDetectionSampleTest {
@@ -63,6 +64,7 @@ public void tearDown() {
     System.setOut(originalPrintStream);
   }
 
+  @Ignore("See https://github.com/googleapis/java-aiplatform/issues/178")
   @Test
   public void testPredictImageObjectDetection() throws IOException {
     // Act

From ee2d9f6c136cb32c1b9ca2a47bc4a070af5ba412 Mon Sep 17 00:00:00 2001
From: "release-please[bot]"
 <55107282+release-please[bot]@users.noreply.github.com>
Date: Mon, 1 Mar 2021 15:13:50 -0800
Subject: [PATCH 36/36] chore(master): release 0.3.0 (#153)

Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
---
 CHANGELOG.md                                  | 29 +++++++++++++++++++
 google-cloud-aiplatform-bom/pom.xml           | 12 ++++----
 google-cloud-aiplatform/pom.xml               |  4 +--
 grpc-google-cloud-aiplatform-v1/pom.xml       |  4 +--
 grpc-google-cloud-aiplatform-v1beta1/pom.xml  |  4 +--
 pom.xml                                       | 12 ++++----
 proto-google-cloud-aiplatform-v1/pom.xml      |  4 +--
 proto-google-cloud-aiplatform-v1beta1/pom.xml |  4 +--
 samples/snapshot/pom.xml                      |  2 +-
 versions.txt                                  | 10 +++----
 10 files changed, 57 insertions(+), 28 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index cf8aae651..fb859d939 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,34 @@
 # Changelog
 
+## [0.3.0](https://www.github.com/googleapis/java-aiplatform/compare/v0.2.0...v0.3.0) (2021-02-26)
+
+
+### Features
+
+* add encryption_spec to aiplatform v1beta1  ([#167](https://www.github.com/googleapis/java-aiplatform/issues/167)) ([f1523a2](https://www.github.com/googleapis/java-aiplatform/commit/f1523a2be87331d2298d740da041eb5275fb4813))
+* add encryption_spec to aiplatform v1beta1 ([#155](https://www.github.com/googleapis/java-aiplatform/issues/155)) ([fbeb273](https://www.github.com/googleapis/java-aiplatform/commit/fbeb273ac6e21ca01a39de3b4964cf28cc441efd))
+* updates library for v1 service ([#157](https://www.github.com/googleapis/java-aiplatform/issues/157)) ([587b2fa](https://www.github.com/googleapis/java-aiplatform/commit/587b2fab293ca50fe42512569cf35997f9099269))
+
+
+### Bug Fixes
+
+* reduces image object detection test resource file size ([#154](https://www.github.com/googleapis/java-aiplatform/issues/154)) ([8cf8cc6](https://www.github.com/googleapis/java-aiplatform/commit/8cf8cc6b36e127c8dfdc9677906195c49065c7ea))
+
+
+### Dependencies
+
+* update dependency com.google.cloud:google-cloud-shared-dependencies to v0.18.0 ([#131](https://www.github.com/googleapis/java-aiplatform/issues/131)) ([d56e6ab](https://www.github.com/googleapis/java-aiplatform/commit/d56e6ab0c7022ef508c96ba04330b1926a08088d))
+* update dependency com.google.cloud:google-cloud-shared-dependencies to v0.19.0 ([#172](https://www.github.com/googleapis/java-aiplatform/issues/172)) ([871e976](https://www.github.com/googleapis/java-aiplatform/commit/871e9761e560b2220d9e3611f48d58c0091b966e))
+* update dependency com.google.cloud:google-cloud-shared-dependencies to v0.20.0 ([#184](https://www.github.com/googleapis/java-aiplatform/issues/184)) ([e79f59d](https://www.github.com/googleapis/java-aiplatform/commit/e79f59d4d46b7193eed00032b349b86c14213825))
+* update dependency com.google.cloud:google-cloud-storage to v1.113.10 ([#164](https://www.github.com/googleapis/java-aiplatform/issues/164)) ([c49ac84](https://www.github.com/googleapis/java-aiplatform/commit/c49ac8463d342c141cf59af5c19f1ef7f28fd8a5))
+* update dependency com.google.cloud:google-cloud-storage to v1.113.11 ([#175](https://www.github.com/googleapis/java-aiplatform/issues/175)) ([74efed2](https://www.github.com/googleapis/java-aiplatform/commit/74efed25aba13f526b3745baeb9b1146c3a6c357))
+* update dependency com.google.cloud:google-cloud-storage to v1.113.9 ([#132](https://www.github.com/googleapis/java-aiplatform/issues/132)) ([bc8826a](https://www.github.com/googleapis/java-aiplatform/commit/bc8826aea48191fea3a2a392f2beaaa192edc777))
+
+
+### Documentation
+
+* updates prediction to new hostname ([#173](https://www.github.com/googleapis/java-aiplatform/issues/173)) ([ea1afeb](https://www.github.com/googleapis/java-aiplatform/commit/ea1afeba05cc830a30c27032e8b71b270183656e))
+
 ## [0.2.0](https://www.github.com/googleapis/java-aiplatform/compare/v0.1.0...v0.2.0) (2021-01-07)
 
 
diff --git a/google-cloud-aiplatform-bom/pom.xml b/google-cloud-aiplatform-bom/pom.xml
index e74c8f1ae..23ea97d79 100644
--- a/google-cloud-aiplatform-bom/pom.xml
+++ b/google-cloud-aiplatform-bom/pom.xml
@@ -3,7 +3,7 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-aiplatform-bom</artifactId>
-  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+  <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   <packaging>pom</packaging>
   <parent>
     <groupId>com.google.cloud</groupId>
@@ -68,27 +68,27 @@
       <dependency>
         <groupId>com.google.cloud</groupId>
         <artifactId>google-cloud-aiplatform</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+        <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
+        <version>0.3.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>proto-google-cloud-aiplatform-v1</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
+        <version>0.3.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
+        <version>0.3.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>grpc-google-cloud-aiplatform-v1</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
+        <version>0.3.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
       </dependency>
     </dependencies>
   </dependencyManagement>
diff --git a/google-cloud-aiplatform/pom.xml b/google-cloud-aiplatform/pom.xml
index 6e4efa1d5..b0f8852fc 100644
--- a/google-cloud-aiplatform/pom.xml
+++ b/google-cloud-aiplatform/pom.xml
@@ -3,7 +3,7 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-aiplatform</artifactId>
-  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+  <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   <packaging>jar</packaging>
   <name>Google AI Platform</name>
   <url>https://github.com/googleapis/java-aiplatform</url>
@@ -11,7 +11,7 @@
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform-parent</artifactId>
-    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+    <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   </parent>
   <properties>
     <site.installationModule>google-cloud-aiplatform</site.installationModule>
diff --git a/grpc-google-cloud-aiplatform-v1/pom.xml b/grpc-google-cloud-aiplatform-v1/pom.xml
index c627e5385..b8bca425c 100644
--- a/grpc-google-cloud-aiplatform-v1/pom.xml
+++ b/grpc-google-cloud-aiplatform-v1/pom.xml
@@ -4,13 +4,13 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.api.grpc</groupId>
   <artifactId>grpc-google-cloud-aiplatform-v1</artifactId>
-  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
+  <version>0.3.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
   <name>grpc-google-cloud-aiplatform-v1</name>
   <description>GRPC library for google-cloud-aiplatform</description>
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform-parent</artifactId>
-    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+    <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   </parent>
   <dependencies>
     <dependency>
diff --git a/grpc-google-cloud-aiplatform-v1beta1/pom.xml b/grpc-google-cloud-aiplatform-v1beta1/pom.xml
index 338b46a65..3c9738c5b 100644
--- a/grpc-google-cloud-aiplatform-v1beta1/pom.xml
+++ b/grpc-google-cloud-aiplatform-v1beta1/pom.xml
@@ -4,13 +4,13 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.api.grpc</groupId>
   <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
-  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
+  <version>0.3.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
   <name>grpc-google-cloud-aiplatform-v1beta1</name>
   <description>GRPC library for google-cloud-aiplatform</description>
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform-parent</artifactId>
-    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+    <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   </parent>
   <dependencies>
     <dependency>
diff --git a/pom.xml b/pom.xml
index b1306453d..0b71b5176 100644
--- a/pom.xml
+++ b/pom.xml
@@ -4,7 +4,7 @@
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-aiplatform-parent</artifactId>
   <packaging>pom</packaging>
-  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+  <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   <name>Google AI Platform Parent</name>
   <url>https://github.com/googleapis/java-</url>
   <description>
@@ -70,27 +70,27 @@
       <dependency>
         <groupId>com.google.cloud</groupId>
         <artifactId>google-cloud-aiplatform</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+        <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>proto-google-cloud-aiplatform-v1</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
+        <version>0.3.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
+        <version>0.3.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>grpc-google-cloud-aiplatform-v1</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
+        <version>0.3.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.api.grpc</groupId>
         <artifactId>grpc-google-cloud-aiplatform-v1beta1</artifactId>
-        <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
+        <version>0.3.0</version><!-- {x-version-update:grpc-google-cloud-aiplatform-v1beta1:current} -->
       </dependency>
       <dependency>
         <groupId>com.google.cloud</groupId>
diff --git a/proto-google-cloud-aiplatform-v1/pom.xml b/proto-google-cloud-aiplatform-v1/pom.xml
index cad013e5f..9714764a4 100644
--- a/proto-google-cloud-aiplatform-v1/pom.xml
+++ b/proto-google-cloud-aiplatform-v1/pom.xml
@@ -4,13 +4,13 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.api.grpc</groupId>
   <artifactId>proto-google-cloud-aiplatform-v1</artifactId>
-  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
+  <version>0.3.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1:current} -->
   <name>proto-google-cloud-aiplatform-v1</name>
   <description>Proto library for google-cloud-aiplatform</description>
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform-parent</artifactId>
-    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+    <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   </parent>
   <dependencies>
     <dependency>
diff --git a/proto-google-cloud-aiplatform-v1beta1/pom.xml b/proto-google-cloud-aiplatform-v1beta1/pom.xml
index d337be43c..5a41e4de9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/pom.xml
+++ b/proto-google-cloud-aiplatform-v1beta1/pom.xml
@@ -4,13 +4,13 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.google.api.grpc</groupId>
   <artifactId>proto-google-cloud-aiplatform-v1beta1</artifactId>
-  <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
+  <version>0.3.0</version><!-- {x-version-update:proto-google-cloud-aiplatform-v1beta1:current} -->
   <name>proto-google-cloud-aiplatform-v1beta1</name>
   <description>Proto library for google-cloud-aiplatform</description>
   <parent>
     <groupId>com.google.cloud</groupId>
     <artifactId>google-cloud-aiplatform-parent</artifactId>
-    <version>0.2.1-SNAPSHOT</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
+    <version>0.3.0</version><!-- {x-version-update:google-cloud-aiplatform:current} -->
   </parent>
   <dependencies>
     <dependency>
diff --git a/samples/snapshot/pom.xml b/samples/snapshot/pom.xml
index 559c25e64..7c8c5cf35 100644
--- a/samples/snapshot/pom.xml
+++ b/samples/snapshot/pom.xml
@@ -28,7 +28,7 @@
     <dependency>
       <groupId>com.google.cloud</groupId>
       <artifactId>google-cloud-aiplatform</artifactId>
-      <version>0.2.1-SNAPSHOT</version>
+      <version>0.3.0</version>
     </dependency>
   <!-- {x-version-update-end} -->
     <dependency>
diff --git a/versions.txt b/versions.txt
index 16a4217bd..76e9d5079 100644
--- a/versions.txt
+++ b/versions.txt
@@ -1,8 +1,8 @@
 # Format:
 # module:released-version:current-version
 
-google-cloud-aiplatform:0.2.0:0.2.1-SNAPSHOT
-proto-google-cloud-aiplatform-v1:0.2.0:0.2.1-SNAPSHOT
-proto-google-cloud-aiplatform-v1beta1:0.2.0:0.2.1-SNAPSHOT
-grpc-google-cloud-aiplatform-v1:0.2.0:0.2.1-SNAPSHOT
-grpc-google-cloud-aiplatform-v1beta1:0.2.0:0.2.1-SNAPSHOT
\ No newline at end of file
+google-cloud-aiplatform:0.3.0:0.3.0
+proto-google-cloud-aiplatform-v1:0.3.0:0.3.0
+proto-google-cloud-aiplatform-v1beta1:0.3.0:0.3.0
+grpc-google-cloud-aiplatform-v1:0.3.0:0.3.0
+grpc-google-cloud-aiplatform-v1beta1:0.3.0:0.3.0
\ No newline at end of file